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Author SHA1 Message Date
ManyTheFish
a8935d88ab Add test tryinmg to reproduce bug 2024-07-25 08:12:27 +02:00
180 changed files with 8819 additions and 20340 deletions

View File

@@ -18,7 +18,7 @@ jobs:
timeout-minutes: 180 # 3h
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -16,37 +16,6 @@ jobs:
runs-on: benchmarks
timeout-minutes: 180 # 3h
steps:
- name: Check permissions
id: permission
env:
PR_AUTHOR: ${{github.event.issue.user.login }}
COMMENT_AUTHOR: ${{github.event.comment.user.login }}
REPOSITORY: ${{github.repository}}
PR_ID: ${{github.event.issue.number}}
run: |
PR_REPOSITORY=$(gh api /repos/"$REPOSITORY"/pulls/"$PR_ID" --jq .head.repo.full_name)
if $(gh api /repos/"$REPOSITORY"/collaborators/"$PR_AUTHOR"/permission --jq .user.permissions.push)
then
echo "::notice title=Authentication success::PR author authenticated"
else
echo "::error title=Authentication error::PR author doesn't have push permission on this repository"
exit 1
fi
if $(gh api /repos/"$REPOSITORY"/collaborators/"$COMMENT_AUTHOR"/permission --jq .user.permissions.push)
then
echo "::notice title=Authentication success::Comment author authenticated"
else
echo "::error title=Authentication error::Comment author doesn't have push permission on this repository"
exit 1
fi
if [ "$PR_REPOSITORY" = "$REPOSITORY" ]
then
echo "::notice title=Authentication success::PR started from main repository"
else
echo "::error title=Authentication error::PR started from a fork"
exit 1
fi
- name: Check for Command
id: command
uses: xt0rted/slash-command-action@v2
@@ -66,7 +35,7 @@ jobs:
fetch-depth: 0 # fetch full history to be able to get main commit sha
ref: ${{ steps.comment-branch.outputs.head_ref }}
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -12,7 +12,7 @@ jobs:
timeout-minutes: 180 # 3h
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -18,7 +18,7 @@ jobs:
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -13,38 +13,7 @@ jobs:
runs-on: benchmarks
timeout-minutes: 4320 # 72h
steps:
- name: Check permissions
id: permission
env:
PR_AUTHOR: ${{github.event.issue.user.login }}
COMMENT_AUTHOR: ${{github.event.comment.user.login }}
REPOSITORY: ${{github.repository}}
PR_ID: ${{github.event.issue.number}}
run: |
PR_REPOSITORY=$(gh api /repos/"$REPOSITORY"/pulls/"$PR_ID" --jq .head.repo.full_name)
if $(gh api /repos/"$REPOSITORY"/collaborators/"$PR_AUTHOR"/permission --jq .user.permissions.push)
then
echo "::notice title=Authentication success::PR author authenticated"
else
echo "::error title=Authentication error::PR author doesn't have push permission on this repository"
exit 1
fi
if $(gh api /repos/"$REPOSITORY"/collaborators/"$COMMENT_AUTHOR"/permission --jq .user.permissions.push)
then
echo "::notice title=Authentication success::Comment author authenticated"
else
echo "::error title=Authentication error::Comment author doesn't have push permission on this repository"
exit 1
fi
if [ "$PR_REPOSITORY" = "$REPOSITORY" ]
then
echo "::notice title=Authentication success::PR started from main repository"
else
echo "::error title=Authentication error::PR started from a fork"
exit 1
fi
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -16,7 +16,7 @@ jobs:
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -15,7 +15,7 @@ jobs:
runs-on: benchmarks
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -15,7 +15,7 @@ jobs:
runs-on: benchmarks
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -15,7 +15,7 @@ jobs:
runs-on: benchmarks
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -17,7 +17,7 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
- name: Install cargo-flaky
run: cargo install cargo-flaky
- name: Run cargo flaky in the dumps

View File

@@ -12,7 +12,7 @@ jobs:
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal

View File

@@ -25,7 +25,7 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
- name: Install cargo-deb
run: cargo install cargo-deb
- uses: actions/checkout@v3

View File

@@ -45,7 +45,7 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
- name: Build
run: cargo build --release --locked
# No need to upload binaries for dry run (cron)
@@ -75,7 +75,7 @@ jobs:
asset_name: meilisearch-windows-amd64.exe
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
- name: Build
run: cargo build --release --locked
# No need to upload binaries for dry run (cron)
@@ -101,7 +101,7 @@ jobs:
- name: Checkout repository
uses: actions/checkout@v3
- name: Installing Rust toolchain
uses: dtolnay/rust-toolchain@1.79
uses: helix-editor/rust-toolchain@v1
with:
profile: minimal
target: ${{ matrix.target }}
@@ -148,7 +148,7 @@ jobs:
add-apt-repository "deb [arch=$(dpkg --print-architecture)] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
apt-get update -y && apt-get install -y docker-ce
- name: Installing Rust toolchain
uses: dtolnay/rust-toolchain@1.79
uses: helix-editor/rust-toolchain@v1
with:
profile: minimal
target: ${{ matrix.target }}

View File

@@ -31,7 +31,7 @@ jobs:
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- name: Setup test with Rust stable
uses: dtolnay/rust-toolchain@1.79
uses: helix-editor/rust-toolchain@v1
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.7.1
- name: Run cargo check without any default features
@@ -56,7 +56,7 @@ jobs:
- uses: actions/checkout@v3
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.7.1
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
- name: Run cargo check without any default features
uses: actions-rs/cargo@v1
with:
@@ -81,7 +81,7 @@ jobs:
run: |
apt-get update
apt-get install --assume-yes build-essential curl
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
- name: Run cargo build with almost all features
run: |
cargo build --workspace --locked --release --features "$(cargo xtask list-features --exclude-feature cuda)"
@@ -101,7 +101,7 @@ jobs:
run: |
apt-get update
apt-get install --assume-yes build-essential curl
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
- name: Run cargo tree without default features and check lindera is not present
run: |
if cargo tree -f '{p} {f}' -e normal --no-default-features | grep -qz lindera; then
@@ -125,7 +125,7 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.7.1
- name: Run tests in debug
@@ -139,7 +139,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal
components: clippy
@@ -156,7 +156,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal
toolchain: nightly-2024-07-09

View File

@@ -18,7 +18,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: dtolnay/rust-toolchain@1.79
- uses: helix-editor/rust-toolchain@v1
with:
profile: minimal
- name: Install sd

204
Cargo.lock generated
View File

@@ -55,7 +55,7 @@ dependencies = [
"encoding_rs",
"flate2",
"futures-core",
"h2 0.3.26",
"h2",
"http 0.2.11",
"httparse",
"httpdate",
@@ -386,16 +386,15 @@ checksum = "96d30a06541fbafbc7f82ed10c06164cfbd2c401138f6addd8404629c4b16711"
[[package]]
name = "arroy"
version = "0.5.0"
version = "0.4.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "dfc5f272f38fa063bbff0a7ab5219404e221493de005e2b4078c62d626ef567e"
checksum = "2ece9e5347e7fdaaea3181dec7f916677ad5f3fcbac183648ce1924eb4aeef9a"
dependencies = [
"bytemuck",
"byteorder",
"heed",
"log",
"memmap2",
"nohash",
"ordered-float",
"rand",
"rayon",
@@ -404,16 +403,6 @@ dependencies = [
"thiserror",
]
[[package]]
name = "assert-json-diff"
version = "2.0.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "47e4f2b81832e72834d7518d8487a0396a28cc408186a2e8854c0f98011faf12"
dependencies = [
"serde",
"serde_json",
]
[[package]]
name = "async-trait"
version = "0.1.81"
@@ -425,12 +414,6 @@ dependencies = [
"syn 2.0.60",
]
[[package]]
name = "atomic-waker"
version = "1.1.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1505bd5d3d116872e7271a6d4e16d81d0c8570876c8de68093a09ac269d8aac0"
[[package]]
name = "autocfg"
version = "1.2.0"
@@ -472,7 +455,7 @@ checksum = "72b3254f16251a8381aa12e40e3c4d2f0199f8c6508fbecb9d91f575e0fbb8c6"
[[package]]
name = "benchmarks"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"anyhow",
"bytes",
@@ -528,7 +511,7 @@ dependencies = [
"proc-macro2",
"quote",
"regex",
"rustc-hash 1.1.0",
"rustc-hash",
"shlex",
"syn 2.0.60",
]
@@ -653,7 +636,7 @@ dependencies = [
[[package]]
name = "build-info"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"anyhow",
"time",
@@ -934,17 +917,20 @@ dependencies = [
[[package]]
name = "charabia"
version = "0.9.1"
version = "0.8.12"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "55ff52497324e7d168505a16949ae836c14595606fab94687238d2f6c8d4c798"
checksum = "9868a22f10dee80498a8a2b6c641d80bf28ea4495fcf71c2dc4836c2dd23958c"
dependencies = [
"aho-corasick",
"cow-utils",
"csv",
"deunicode",
"either",
"fst",
"irg-kvariants",
"jieba-rs",
"lindera",
"litemap",
"once_cell",
"pinyin",
"serde",
@@ -952,6 +938,7 @@ dependencies = [
"unicode-normalization",
"wana_kana",
"whatlang",
"zerovec",
]
[[package]]
@@ -1142,6 +1129,12 @@ version = "0.8.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "e496a50fda8aacccc86d7529e2c1e0892dbd0f898a6b5645b5561b89c3210efa"
[[package]]
name = "cow-utils"
version = "0.1.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "79bb3adfaf5f75d24b01aee375f7555907840fa2800e5ec8fa3b9e2031830173"
[[package]]
name = "cpufeatures"
version = "0.2.12"
@@ -1384,24 +1377,6 @@ dependencies = [
"syn 2.0.60",
]
[[package]]
name = "deadpool"
version = "0.10.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "fb84100978c1c7b37f09ed3ce3e5f843af02c2a2c431bae5b19230dad2c1b490"
dependencies = [
"async-trait",
"deadpool-runtime",
"num_cpus",
"tokio",
]
[[package]]
name = "deadpool-runtime"
version = "0.1.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "092966b41edc516079bdf31ec78a2e0588d1d0c08f78b91d8307215928642b2b"
[[package]]
name = "debugid"
version = "0.8.0"
@@ -1542,6 +1517,12 @@ dependencies = [
"syn 2.0.60",
]
[[package]]
name = "deunicode"
version = "1.6.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "339544cc9e2c4dc3fc7149fd630c5f22263a4fdf18a98afd0075784968b5cf00"
[[package]]
name = "digest"
version = "0.10.7"
@@ -1623,7 +1604,7 @@ dependencies = [
[[package]]
name = "dump"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"anyhow",
"big_s",
@@ -1835,7 +1816,7 @@ checksum = "9fc0510504f03c51ada170672ac806f1f105a88aa97a5281117e1ddc3368e51a"
[[package]]
name = "file-store"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"tempfile",
"thiserror",
@@ -1857,7 +1838,7 @@ dependencies = [
[[package]]
name = "filter-parser"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"insta",
"nom",
@@ -1877,7 +1858,7 @@ dependencies = [
[[package]]
name = "flatten-serde-json"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"criterion",
"serde_json",
@@ -2001,7 +1982,7 @@ dependencies = [
[[package]]
name = "fuzzers"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"arbitrary",
"clap",
@@ -2250,25 +2231,6 @@ dependencies = [
"tracing",
]
[[package]]
name = "h2"
version = "0.4.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "fa82e28a107a8cc405f0839610bdc9b15f1e25ec7d696aa5cf173edbcb1486ab"
dependencies = [
"atomic-waker",
"bytes",
"fnv",
"futures-core",
"futures-sink",
"http 1.1.0",
"indexmap",
"slab",
"tokio",
"tokio-util",
"tracing",
]
[[package]]
name = "half"
version = "1.8.2"
@@ -2479,11 +2441,9 @@ dependencies = [
"bytes",
"futures-channel",
"futures-util",
"h2 0.4.5",
"http 1.1.0",
"http-body",
"httparse",
"httpdate",
"itoa",
"pin-project-lite",
"smallvec",
@@ -2553,7 +2513,7 @@ checksum = "206ca75c9c03ba3d4ace2460e57b189f39f43de612c2f85836e65c929701bb2d"
[[package]]
name = "index-scheduler"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"anyhow",
"arroy",
@@ -2747,7 +2707,7 @@ dependencies = [
[[package]]
name = "json-depth-checker"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"criterion",
"serde_json",
@@ -3263,6 +3223,12 @@ dependencies = [
"unicode-segmentation",
]
[[package]]
name = "litemap"
version = "0.7.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "643cb0b8d4fcc284004d5fd0d67ccf61dfffadb7f75e1e71bc420f4688a3a704"
[[package]]
name = "lmdb-master-sys"
version = "0.2.2"
@@ -3366,7 +3332,7 @@ checksum = "490cc448043f947bae3cbee9c203358d62dbee0db12107a74be5c30ccfd09771"
[[package]]
name = "meili-snap"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"insta",
"md5",
@@ -3375,7 +3341,7 @@ dependencies = [
[[package]]
name = "meilisearch"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"actix-cors",
"actix-http",
@@ -3415,7 +3381,6 @@ dependencies = [
"meilisearch-types",
"mimalloc",
"mime",
"mopa-maintained",
"num_cpus",
"obkv",
"once_cell",
@@ -3458,14 +3423,13 @@ dependencies = [
"url",
"urlencoding",
"uuid",
"wiremock",
"yaup",
"zip 2.1.3",
]
[[package]]
name = "meilisearch-auth"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"base64 0.22.1",
"enum-iterator",
@@ -3484,7 +3448,7 @@ dependencies = [
[[package]]
name = "meilisearch-types"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"actix-web",
"anyhow",
@@ -3514,7 +3478,7 @@ dependencies = [
[[package]]
name = "meilitool"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"anyhow",
"clap",
@@ -3522,7 +3486,6 @@ dependencies = [
"file-store",
"meilisearch-auth",
"meilisearch-types",
"serde",
"time",
"uuid",
]
@@ -3545,7 +3508,7 @@ dependencies = [
[[package]]
name = "milli"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"arroy",
"big_s",
@@ -3682,24 +3645,12 @@ dependencies = [
"syn 2.0.60",
]
[[package]]
name = "mopa-maintained"
version = "0.2.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "79b7f3e22167862cc7c95b21a6f326c22e4bf40da59cbf000b368a310173ba11"
[[package]]
name = "mutually_exclusive_features"
version = "0.0.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6d02c0b00610773bb7fc61d85e13d86c7858cbdf00e1a120bfc41bc055dbaa0e"
[[package]]
name = "nohash"
version = "0.2.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a0f889fb66f7acdf83442c35775764b51fed3c606ab9cee51500dbde2cf528ca"
[[package]]
name = "nom"
version = "7.1.3"
@@ -3991,7 +3942,7 @@ checksum = "e3148f5046208a5d56bcfc03053e3ca6334e51da8dfb19b6cdc8b306fae3283e"
[[package]]
name = "permissive-json-pointer"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"big_s",
"serde_json",
@@ -4322,7 +4273,7 @@ dependencies = [
"pin-project-lite",
"quinn-proto",
"quinn-udp",
"rustc-hash 1.1.0",
"rustc-hash",
"rustls",
"thiserror",
"tokio",
@@ -4331,14 +4282,14 @@ dependencies = [
[[package]]
name = "quinn-proto"
version = "0.11.8"
version = "0.11.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "fadfaed2cd7f389d0161bb73eeb07b7b78f8691047a6f3e73caaeae55310a4a6"
checksum = "ddf517c03a109db8100448a4be38d498df8a210a99fe0e1b9eaf39e78c640efe"
dependencies = [
"bytes",
"rand",
"ring",
"rustc-hash 2.0.0",
"rustc-hash",
"rustls",
"slab",
"thiserror",
@@ -4589,8 +4540,9 @@ dependencies = [
[[package]]
name = "rhai"
version = "1.20.0"
source = "git+https://github.com/rhaiscript/rhai?rev=ef3df63121d27aacd838f366f2b83fd65f20a1e4#ef3df63121d27aacd838f366f2b83fd65f20a1e4"
version = "1.19.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "61797318be89b1a268a018a92a7657096d83f3ecb31418b9e9c16dcbb043b702"
dependencies = [
"ahash 0.8.11",
"bitflags 2.6.0",
@@ -4607,7 +4559,8 @@ dependencies = [
[[package]]
name = "rhai_codegen"
version = "2.2.0"
source = "git+https://github.com/rhaiscript/rhai?rev=ef3df63121d27aacd838f366f2b83fd65f20a1e4#ef3df63121d27aacd838f366f2b83fd65f20a1e4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a5a11a05ee1ce44058fa3d5961d05194fdbe3ad6b40f904af764d81b86450e6b"
dependencies = [
"proc-macro2",
"quote",
@@ -4709,12 +4662,6 @@ version = "1.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "08d43f7aa6b08d49f382cde6a7982047c3426db949b1424bc4b7ec9ae12c6ce2"
[[package]]
name = "rustc-hash"
version = "2.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "583034fd73374156e66797ed8e5b0d5690409c9226b22d87cb7f19821c05d152"
[[package]]
name = "rustc_version"
version = "0.4.0"
@@ -4853,9 +4800,9 @@ checksum = "a3f0bf26fd526d2a95683cd0f87bf103b8539e2ca1ef48ce002d67aad59aa0b4"
[[package]]
name = "serde"
version = "1.0.209"
version = "1.0.204"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "99fce0ffe7310761ca6bf9faf5115afbc19688edd00171d81b1bb1b116c63e09"
checksum = "bc76f558e0cbb2a839d37354c575f1dc3fdc6546b5be373ba43d95f231bf7c12"
dependencies = [
"serde_derive",
]
@@ -4871,9 +4818,9 @@ dependencies = [
[[package]]
name = "serde_derive"
version = "1.0.209"
version = "1.0.204"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a5831b979fd7b5439637af1752d535ff49f4860c0f341d1baeb6faf0f4242170"
checksum = "e0cd7e117be63d3c3678776753929474f3b04a43a080c744d6b0ae2a8c28e222"
dependencies = [
"proc-macro2",
"quote",
@@ -5366,7 +5313,7 @@ dependencies = [
"fancy-regex 0.12.0",
"lazy_static",
"parking_lot",
"rustc-hash 1.1.0",
"rustc-hash",
]
[[package]]
@@ -6334,30 +6281,6 @@ dependencies = [
"windows-sys 0.48.0",
]
[[package]]
name = "wiremock"
version = "0.6.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ec874e1eef0df2dcac546057fe5e29186f09c378181cd7b635b4b7bcc98e9d81"
dependencies = [
"assert-json-diff",
"async-trait",
"base64 0.21.7",
"deadpool",
"futures",
"http 1.1.0",
"http-body-util",
"hyper",
"hyper-util",
"log",
"once_cell",
"regex",
"serde",
"serde_json",
"tokio",
"url",
]
[[package]]
name = "wyz"
version = "0.5.1"
@@ -6380,7 +6303,7 @@ dependencies = [
[[package]]
name = "xtask"
version = "1.11.2"
version = "1.10.0"
dependencies = [
"anyhow",
"build-info",
@@ -6503,6 +6426,15 @@ dependencies = [
"syn 2.0.60",
]
[[package]]
name = "zerovec"
version = "0.10.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "aa2b893d79df23bfb12d5461018d408ea19dfafe76c2c7ef6d4eba614f8ff079"
dependencies = [
"zerofrom",
]
[[package]]
name = "zip"
version = "1.1.4"

View File

@@ -22,7 +22,7 @@ members = [
]
[workspace.package]
version = "1.11.2"
version = "1.10.0"
authors = [
"Quentin de Quelen <quentin@dequelen.me>",
"Clément Renault <clement@meilisearch.com>",

View File

@@ -45,14 +45,14 @@ See the list of all our example apps in our [demos repository](https://github.co
## ✨ Features
- **Hybrid search:** Combine the best of both [semantic](https://www.meilisearch.com/docs/learn/experimental/vector_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features) & full-text search to get the most relevant results
- **Search-as-you-type:** Find & display results in less than 50 milliseconds to provide an intuitive experience
- **[Typo tolerance](https://www.meilisearch.com/docs/learn/relevancy/typo_tolerance_settings?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** get relevant matches even when queries contain typos and misspellings
- **[Typo tolerance](https://www.meilisearch.com/docs/learn/configuration/typo_tolerance?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** get relevant matches even when queries contain typos and misspellings
- **[Filtering](https://www.meilisearch.com/docs/learn/fine_tuning_results/filtering?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features) and [faceted search](https://www.meilisearch.com/docs/learn/fine_tuning_results/faceted_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** enhance your users' search experience with custom filters and build a faceted search interface in a few lines of code
- **[Sorting](https://www.meilisearch.com/docs/learn/fine_tuning_results/sorting?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** sort results based on price, date, or pretty much anything else your users need
- **[Synonym support](https://www.meilisearch.com/docs/learn/relevancy/synonyms?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** configure synonyms to include more relevant content in your search results
- **[Synonym support](https://www.meilisearch.com/docs/learn/configuration/synonyms?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** configure synonyms to include more relevant content in your search results
- **[Geosearch](https://www.meilisearch.com/docs/learn/fine_tuning_results/geosearch?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** filter and sort documents based on geographic data
- **[Extensive language support](https://www.meilisearch.com/docs/learn/what_is_meilisearch/language?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** search datasets in any language, with optimized support for Chinese, Japanese, Hebrew, and languages using the Latin alphabet
- **[Security management](https://www.meilisearch.com/docs/learn/security/master_api_keys?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** control which users can access what data with API keys that allow fine-grained permissions handling
- **[Multi-Tenancy](https://www.meilisearch.com/docs/learn/security/multitenancy_tenant_tokens?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** personalize search results for any number of application tenants
- **[Multi-Tenancy](https://www.meilisearch.com/docs/learn/security/tenant_tokens?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** personalize search results for any number of application tenants
- **Highly Customizable:** customize Meilisearch to your specific needs or use our out-of-the-box and hassle-free presets
- **[RESTful API](https://www.meilisearch.com/docs/reference/api/overview?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** integrate Meilisearch in your technical stack with our plugins and SDKs
- **Easy to install, deploy, and maintain**

View File

@@ -286,7 +286,6 @@ pub(crate) mod test {
pagination: Setting::NotSet,
embedders: Setting::NotSet,
search_cutoff_ms: Setting::NotSet,
localized_attributes: Setting::NotSet,
_kind: std::marker::PhantomData,
};
settings.check()

View File

@@ -379,7 +379,6 @@ impl<T> From<v5::Settings<T>> for v6::Settings<v6::Unchecked> {
v5::Setting::NotSet => v6::Setting::NotSet,
},
embedders: v6::Setting::NotSet,
localized_attributes: v6::Setting::NotSet,
search_cutoff_ms: v6::Setting::NotSet,
_kind: std::marker::PhantomData,
}

View File

@@ -255,8 +255,6 @@ pub(crate) mod test {
}
"###);
insta::assert_json_snapshot!(vector_index.settings().unwrap());
{
let documents: Result<Vec<_>> = vector_index.documents().unwrap().collect();
let mut documents = documents.unwrap();

View File

@@ -1,56 +1,783 @@
---
source: dump/src/reader/mod.rs
expression: vector_index.settings().unwrap()
expression: document
---
{
"displayedAttributes": [
"*"
],
"searchableAttributes": [
"*"
],
"filterableAttributes": [],
"sortableAttributes": [],
"rankingRules": [
"words",
"typo",
"proximity",
"attribute",
"sort",
"exactness"
],
"stopWords": [],
"nonSeparatorTokens": [],
"separatorTokens": [],
"dictionary": [],
"synonyms": {},
"distinctAttribute": null,
"proximityPrecision": "byWord",
"typoTolerance": {
"enabled": true,
"minWordSizeForTypos": {
"oneTypo": 5,
"twoTypos": 9
},
"disableOnWords": [],
"disableOnAttributes": []
},
"faceting": {
"maxValuesPerFacet": 100,
"sortFacetValuesBy": {
"*": "alpha"
}
},
"pagination": {
"maxTotalHits": 1000
},
"embedders": {
"default": {
"source": "huggingFace",
"model": "BAAI/bge-base-en-v1.5",
"revision": "617ca489d9e86b49b8167676d8220688b99db36e",
"documentTemplate": "{% for field in fields %} {{ field.name }}: {{ field.value }}\n{% endfor %}"
}
},
"searchCutoffMs": null
"id": "e3",
"desc": "overriden vector + map",
"_vectors": {
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],
"toto": [
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]
}
}

View File

@@ -1,780 +0,0 @@
---
source: dump/src/reader/mod.rs
expression: document
---
{
"id": "e0",
"desc": "overriden vector",
"_vectors": {
"default": [
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]
}
}

View File

@@ -27,7 +27,6 @@ pub enum Condition<'a> {
LowerThanOrEqual(Token<'a>),
Between { from: Token<'a>, to: Token<'a> },
Contains { keyword: Token<'a>, word: Token<'a> },
StartsWith { keyword: Token<'a>, word: Token<'a> },
}
/// condition = value ("==" | ">" ...) value
@@ -122,34 +121,6 @@ pub fn parse_not_contains(input: Span) -> IResult<FilterCondition> {
))
}
/// starts with = value "CONTAINS" value
pub fn parse_starts_with(input: Span) -> IResult<FilterCondition> {
let (input, (fid, starts_with, value)) =
tuple((parse_value, tag("STARTS WITH"), cut(parse_value)))(input)?;
Ok((
input,
FilterCondition::Condition {
fid,
op: StartsWith { keyword: Token { span: starts_with, value: None }, word: value },
},
))
}
/// starts with = value "NOT" WS+ "CONTAINS" value
pub fn parse_not_starts_with(input: Span) -> IResult<FilterCondition> {
let keyword = tuple((tag("NOT"), multispace1, tag("STARTS WITH")));
let (input, (fid, (_not, _spaces, starts_with), value)) =
tuple((parse_value, keyword, cut(parse_value)))(input)?;
Ok((
input,
FilterCondition::Not(Box::new(FilterCondition::Condition {
fid,
op: StartsWith { keyword: Token { span: starts_with, value: None }, word: value },
})),
))
}
/// to = value value "TO" WS+ value
pub fn parse_to(input: Span) -> IResult<FilterCondition> {
let (input, (key, from, _, _, to)) =

View File

@@ -146,7 +146,7 @@ impl<'a> Display for Error<'a> {
}
ErrorKind::InvalidPrimary => {
let text = if input.trim().is_empty() { "but instead got nothing.".to_string() } else { format!("at `{}`.", escaped_input) };
writeln!(f, "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` {}", text)?
writeln!(f, "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` {}", text)?
}
ErrorKind::InvalidEscapedNumber => {
writeln!(f, "Found an invalid escaped sequence number: `{}`.", escaped_input)?

View File

@@ -49,7 +49,7 @@ use std::fmt::Debug;
pub use condition::{parse_condition, parse_to, Condition};
use condition::{
parse_contains, parse_exists, parse_is_empty, parse_is_not_empty, parse_is_not_null,
parse_is_null, parse_not_contains, parse_not_exists, parse_not_starts_with, parse_starts_with,
parse_is_null, parse_not_contains, parse_not_exists,
};
use error::{cut_with_err, ExpectedValueKind, NomErrorExt};
pub use error::{Error, ErrorKind};
@@ -166,8 +166,7 @@ impl<'a> FilterCondition<'a> {
| Condition::LowerThan(_)
| Condition::LowerThanOrEqual(_)
| Condition::Between { .. } => None,
Condition::Contains { keyword, word: _ }
| Condition::StartsWith { keyword, word: _ } => Some(keyword),
Condition::Contains { keyword, word: _ } => Some(keyword),
},
FilterCondition::Not(this) => this.use_contains_operator(),
FilterCondition::Or(seq) | FilterCondition::And(seq) => {
@@ -485,8 +484,6 @@ fn parse_primary(input: Span, depth: usize) -> IResult<FilterCondition> {
parse_to,
parse_contains,
parse_not_contains,
parse_starts_with,
parse_not_starts_with,
// the next lines are only for error handling and are written at the end to have the less possible performance impact
parse_geo,
parse_geo_distance,
@@ -570,7 +567,6 @@ impl<'a> std::fmt::Display for Condition<'a> {
Condition::LowerThanOrEqual(token) => write!(f, "<= {token}"),
Condition::Between { from, to } => write!(f, "{from} TO {to}"),
Condition::Contains { word, keyword: _ } => write!(f, "CONTAINS {word}"),
Condition::StartsWith { word, keyword: _ } => write!(f, "STARTS WITH {word}"),
}
}
}
@@ -684,13 +680,6 @@ pub mod tests {
insta::assert_snapshot!(p("NOT subscribers NOT CONTAINS 'hello'"), @"{subscribers} CONTAINS {hello}");
insta::assert_snapshot!(p("subscribers NOT CONTAINS 'hello'"), @"NOT ({subscribers} CONTAINS {hello})");
// Test STARTS WITH + NOT STARTS WITH
insta::assert_snapshot!(p("subscribers STARTS WITH 'hel'"), @"{subscribers} STARTS WITH {hel}");
insta::assert_snapshot!(p("NOT subscribers STARTS WITH 'hel'"), @"NOT ({subscribers} STARTS WITH {hel})");
insta::assert_snapshot!(p("subscribers NOT STARTS WITH hel"), @"NOT ({subscribers} STARTS WITH {hel})");
insta::assert_snapshot!(p("NOT subscribers NOT STARTS WITH 'hel'"), @"{subscribers} STARTS WITH {hel}");
insta::assert_snapshot!(p("subscribers NOT STARTS WITH 'hel'"), @"NOT ({subscribers} STARTS WITH {hel})");
// Test nested NOT
insta::assert_snapshot!(p("NOT NOT NOT NOT x = 5"), @"{x} = {5}");
insta::assert_snapshot!(p("NOT NOT (NOT NOT x = 5)"), @"{x} = {5}");
@@ -762,7 +751,7 @@ pub mod tests {
"###);
insta::assert_snapshot!(p("'OR'"), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `\'OR\'`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `\'OR\'`.
1:5 'OR'
"###);
@@ -772,12 +761,12 @@ pub mod tests {
"###);
insta::assert_snapshot!(p("channel Ponce"), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `channel Ponce`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `channel Ponce`.
1:14 channel Ponce
"###);
insta::assert_snapshot!(p("channel = Ponce OR"), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` but instead got nothing.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` but instead got nothing.
19:19 channel = Ponce OR
"###);
@@ -862,12 +851,12 @@ pub mod tests {
"###);
insta::assert_snapshot!(p("colour NOT EXIST"), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `colour NOT EXIST`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `colour NOT EXIST`.
1:17 colour NOT EXIST
"###);
insta::assert_snapshot!(p("subscribers 100 TO1000"), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `subscribers 100 TO1000`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `subscribers 100 TO1000`.
1:23 subscribers 100 TO1000
"###);
@@ -930,35 +919,35 @@ pub mod tests {
"###);
insta::assert_snapshot!(p(r#"value NULL"#), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `value NULL`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `value NULL`.
1:11 value NULL
"###);
insta::assert_snapshot!(p(r#"value NOT NULL"#), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `value NOT NULL`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `value NOT NULL`.
1:15 value NOT NULL
"###);
insta::assert_snapshot!(p(r#"value EMPTY"#), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `value EMPTY`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `value EMPTY`.
1:12 value EMPTY
"###);
insta::assert_snapshot!(p(r#"value NOT EMPTY"#), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `value NOT EMPTY`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `value NOT EMPTY`.
1:16 value NOT EMPTY
"###);
insta::assert_snapshot!(p(r#"value IS"#), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `value IS`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `value IS`.
1:9 value IS
"###);
insta::assert_snapshot!(p(r#"value IS NOT"#), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `value IS NOT`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `value IS NOT`.
1:13 value IS NOT
"###);
insta::assert_snapshot!(p(r#"value IS EXISTS"#), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `value IS EXISTS`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `value IS EXISTS`.
1:16 value IS EXISTS
"###);
insta::assert_snapshot!(p(r#"value IS NOT EXISTS"#), @r###"
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` at `value IS NOT EXISTS`.
Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `_geoRadius`, or `_geoBoundingBox` at `value IS NOT EXISTS`.
1:20 value IS NOT EXISTS
"###);
}

View File

@@ -212,8 +212,6 @@ fn is_keyword(s: &str) -> bool {
| "NULL"
| "EMPTY"
| "CONTAINS"
| "STARTS"
| "WITH"
| "_geoRadius"
| "_geoBoundingBox"
)

View File

@@ -40,7 +40,7 @@ ureq = "2.10.0"
uuid = { version = "1.10.0", features = ["serde", "v4"] }
[dev-dependencies]
arroy = "0.5.0"
arroy = "0.4.0"
big_s = "1.0.2"
crossbeam = "0.8.4"
insta = { version = "1.39.0", features = ["json", "redactions"] }

View File

@@ -25,9 +25,8 @@ enum AutobatchKind {
primary_key: Option<String>,
},
DocumentEdition,
DocumentDeletion {
by_filter: bool,
},
DocumentDeletion,
DocumentDeletionByFilter,
DocumentClear,
Settings {
allow_index_creation: bool,
@@ -66,12 +65,10 @@ impl From<KindWithContent> for AutobatchKind {
..
} => AutobatchKind::DocumentImport { method, allow_index_creation, primary_key },
KindWithContent::DocumentEdition { .. } => AutobatchKind::DocumentEdition,
KindWithContent::DocumentDeletion { .. } => {
AutobatchKind::DocumentDeletion { by_filter: false }
}
KindWithContent::DocumentDeletion { .. } => AutobatchKind::DocumentDeletion,
KindWithContent::DocumentClear { .. } => AutobatchKind::DocumentClear,
KindWithContent::DocumentDeletionByFilter { .. } => {
AutobatchKind::DocumentDeletion { by_filter: true }
AutobatchKind::DocumentDeletionByFilter
}
KindWithContent::SettingsUpdate { allow_index_creation, is_deletion, .. } => {
AutobatchKind::Settings {
@@ -108,7 +105,9 @@ pub enum BatchKind {
},
DocumentDeletion {
deletion_ids: Vec<TaskId>,
includes_by_filter: bool,
},
DocumentDeletionByFilter {
id: TaskId,
},
ClearAndSettings {
other: Vec<TaskId>,
@@ -206,13 +205,12 @@ impl BatchKind {
allow_index_creation,
),
K::DocumentEdition => (Break(BatchKind::DocumentEdition { id: task_id }), false),
K::DocumentDeletion { by_filter: includes_by_filter } => (
Continue(BatchKind::DocumentDeletion {
deletion_ids: vec![task_id],
includes_by_filter,
}),
false,
),
K::DocumentDeletion => {
(Continue(BatchKind::DocumentDeletion { deletion_ids: vec![task_id] }), false)
}
K::DocumentDeletionByFilter => {
(Break(BatchKind::DocumentDeletionByFilter { id: task_id }), false)
}
K::Settings { allow_index_creation } => (
Continue(BatchKind::Settings { allow_index_creation, settings_ids: vec![task_id] }),
allow_index_creation,
@@ -230,7 +228,7 @@ impl BatchKind {
match (self, kind) {
// We don't batch any of these operations
(this, K::IndexCreation | K::IndexUpdate | K::IndexSwap | K::DocumentEdition) => Break(this),
(this, K::IndexCreation | K::IndexUpdate | K::IndexSwap | K::DocumentEdition | K::DocumentDeletionByFilter) => Break(this),
// We must not batch tasks that don't have the same index creation rights if the index doesn't already exists.
(this, kind) if !index_already_exists && this.allow_index_creation() == Some(false) && kind.allow_index_creation() == Some(true) => {
Break(this)
@@ -266,7 +264,7 @@ impl BatchKind {
// The index deletion can batch with everything but must stop after
(
BatchKind::DocumentClear { mut ids }
| BatchKind::DocumentDeletion { deletion_ids: mut ids, includes_by_filter: _ }
| BatchKind::DocumentDeletion { deletion_ids: mut ids }
| BatchKind::DocumentOperation { method: _, allow_index_creation: _, primary_key: _, operation_ids: mut ids }
| BatchKind::Settings { allow_index_creation: _, settings_ids: mut ids },
K::IndexDeletion,
@@ -286,7 +284,7 @@ impl BatchKind {
(
BatchKind::DocumentClear { mut ids },
K::DocumentClear | K::DocumentDeletion { by_filter: _ },
K::DocumentClear | K::DocumentDeletion,
) => {
ids.push(id);
Continue(BatchKind::DocumentClear { ids })
@@ -330,7 +328,7 @@ impl BatchKind {
}
(
BatchKind::DocumentOperation { method, allow_index_creation, primary_key, mut operation_ids },
K::DocumentDeletion { by_filter: false },
K::DocumentDeletion,
) => {
operation_ids.push(id);
@@ -341,13 +339,6 @@ impl BatchKind {
operation_ids,
})
}
// We can't batch a document operation with a delete by filter
(
this @ BatchKind::DocumentOperation { .. },
K::DocumentDeletion { by_filter: true },
) => {
Break(this)
}
// but we can't autobatch documents if it's not the same kind
// this match branch MUST be AFTER the previous one
(
@@ -366,18 +357,13 @@ impl BatchKind {
operation_ids,
}),
(BatchKind::DocumentDeletion { mut deletion_ids, includes_by_filter: _ }, K::DocumentClear) => {
(BatchKind::DocumentDeletion { mut deletion_ids }, K::DocumentClear) => {
deletion_ids.push(id);
Continue(BatchKind::DocumentClear { ids: deletion_ids })
}
// we can't autobatch the deletion and import if the document deletion contained a filter
(
this @ BatchKind::DocumentDeletion { deletion_ids: _, includes_by_filter: true },
K::DocumentImport { .. }
) => Break(this),
// we can autobatch the deletion and import if the index already exists
(
BatchKind::DocumentDeletion { mut deletion_ids, includes_by_filter: false },
BatchKind::DocumentDeletion { mut deletion_ids },
K::DocumentImport { method, allow_index_creation, primary_key }
) if index_already_exists => {
deletion_ids.push(id);
@@ -391,7 +377,7 @@ impl BatchKind {
}
// we can autobatch the deletion and import if both can't create an index
(
BatchKind::DocumentDeletion { mut deletion_ids, includes_by_filter: false },
BatchKind::DocumentDeletion { mut deletion_ids },
K::DocumentImport { method, allow_index_creation, primary_key }
) if !allow_index_creation => {
deletion_ids.push(id);
@@ -410,9 +396,9 @@ impl BatchKind {
) => {
Break(this)
}
(BatchKind::DocumentDeletion { mut deletion_ids, includes_by_filter }, K::DocumentDeletion { by_filter }) => {
(BatchKind::DocumentDeletion { mut deletion_ids }, K::DocumentDeletion) => {
deletion_ids.push(id);
Continue(BatchKind::DocumentDeletion { deletion_ids, includes_by_filter: includes_by_filter | by_filter })
Continue(BatchKind::DocumentDeletion { deletion_ids })
}
(this @ BatchKind::DocumentDeletion { .. }, K::Settings { .. }) => Break(this),
@@ -426,7 +412,7 @@ impl BatchKind {
}),
(
this @ BatchKind::Settings { .. },
K::DocumentImport { .. } | K::DocumentDeletion { .. },
K::DocumentImport { .. } | K::DocumentDeletion,
) => Break(this),
(
BatchKind::Settings { mut settings_ids, allow_index_creation },
@@ -457,7 +443,7 @@ impl BatchKind {
settings_ids,
allow_index_creation,
},
K::DocumentDeletion { .. },
K::DocumentDeletion,
) => {
other.push(id);
Continue(BatchKind::ClearAndSettings {
@@ -519,7 +505,7 @@ impl BatchKind {
// this MUST be AFTER the two previous branch
(
this @ BatchKind::SettingsAndDocumentOperation { .. },
K::DocumentDeletion { .. } | K::DocumentImport { .. },
K::DocumentDeletion | K::DocumentImport { .. },
) => Break(this),
(
BatchKind::SettingsAndDocumentOperation { mut settings_ids, method, allow_index_creation,primary_key, operation_ids },
@@ -539,7 +525,8 @@ impl BatchKind {
| BatchKind::IndexDeletion { .. }
| BatchKind::IndexUpdate { .. }
| BatchKind::IndexSwap { .. }
| BatchKind::DocumentEdition { .. },
| BatchKind::DocumentEdition { .. }
| BatchKind::DocumentDeletionByFilter { .. },
_,
) => {
unreachable!()
@@ -629,13 +616,6 @@ mod tests {
}
}
fn doc_del_fil() -> KindWithContent {
KindWithContent::DocumentDeletionByFilter {
index_uid: String::from("doggo"),
filter_expr: serde_json::json!("cuteness > 100"),
}
}
fn doc_clr() -> KindWithContent {
KindWithContent::DocumentClear { index_uid: String::from("doggo") }
}
@@ -696,16 +676,10 @@ mod tests {
debug_snapshot!(autobatch_from(false,None, [doc_imp(UpdateDocuments, false, None), doc_imp(UpdateDocuments, false, None), doc_imp(UpdateDocuments, false, None)]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1, 2] }, false))");
// we can autobatch one or multiple DocumentDeletion together
debug_snapshot!(autobatch_from(true, None, [doc_del()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_del(), doc_del()]), @"Some((DocumentDeletion { deletion_ids: [0, 1, 2], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_del()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_del(), doc_del(), doc_del()]), @"Some((DocumentDeletion { deletion_ids: [0, 1, 2], includes_by_filter: false }, false))");
// we can autobatch one or multiple DocumentDeletionByFilter together
debug_snapshot!(autobatch_from(true, None, [doc_del_fil()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_del_fil(), doc_del_fil()]), @"Some((DocumentDeletion { deletion_ids: [0, 1, 2], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_del_fil()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_del_fil(), doc_del_fil(), doc_del_fil()]), @"Some((DocumentDeletion { deletion_ids: [0, 1, 2], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del()]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), doc_del(), doc_del()]), @"Some((DocumentDeletion { deletion_ids: [0, 1, 2] }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_del()]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_del(), doc_del(), doc_del()]), @"Some((DocumentDeletion { deletion_ids: [0, 1, 2] }, false))");
// we can autobatch one or multiple Settings together
debug_snapshot!(autobatch_from(true, None, [settings(true)]), @"Some((Settings { allow_index_creation: true, settings_ids: [0] }, true))");
@@ -748,63 +722,25 @@ mod tests {
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, false, None)]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(ReplaceDocuments, false, Some("catto"))]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, false, Some("catto"))]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0, 1] }, false))"###);
// But we can't autobatch document addition with document deletion by filter
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, None), doc_del_fil()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, None), doc_del_fil()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, false, None), doc_del_fil()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, false, None), doc_del_fil()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, Some("catto")), doc_del_fil()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0] }, true))"###);
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, Some("catto")), doc_del_fil()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0] }, true))"###);
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, false, Some("catto")), doc_del_fil()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0] }, false))"###);
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, false, Some("catto")), doc_del_fil()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0] }, false))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, true, None), doc_del_fil()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, true, None), doc_del_fil()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, false, None), doc_del_fil()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, false, None), doc_del_fil()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, true, Some("catto")), doc_del_fil()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0] }, true))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, true, Some("catto")), doc_del_fil()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: Some("catto"), operation_ids: [0] }, true))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(ReplaceDocuments, false, Some("catto")), doc_del_fil()]), @r###"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0] }, false))"###);
debug_snapshot!(autobatch_from(false, None, [doc_imp(UpdateDocuments, false, Some("catto")), doc_del_fil()]), @r###"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: false, primary_key: Some("catto"), operation_ids: [0] }, false))"###);
// And the other way around
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(ReplaceDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(UpdateDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(ReplaceDocuments, false, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(UpdateDocuments, false, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(ReplaceDocuments, true, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(UpdateDocuments, true, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(ReplaceDocuments, false, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(UpdateDocuments, false, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del_fil(), doc_imp(ReplaceDocuments, false, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del_fil(), doc_imp(UpdateDocuments, false, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del_fil(), doc_imp(ReplaceDocuments, false, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del_fil(), doc_imp(UpdateDocuments, false, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
}
#[test]
fn simple_document_operation_dont_autobatch_with_other() {
// addition, updates and deletion by filter can't batch together
// addition, updates and deletion can't batch together
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, None), doc_imp(UpdateDocuments, true, None)]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, None), doc_imp(ReplaceDocuments, true, None)]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, None), doc_del_fil()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, None), doc_del_fil()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(UpdateDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), doc_imp(ReplaceDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, None), idx_create()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, None), idx_create()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), idx_create()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), idx_create()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), idx_create()]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, None), idx_update()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, None), idx_update()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), idx_update()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), idx_update()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), idx_update()]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, true, None), idx_swap()]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, true, None), idx_swap()]), @"Some((DocumentOperation { method: UpdateDocuments, allow_index_creation: true, primary_key: None, operation_ids: [0] }, true))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), idx_swap()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), idx_swap()]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: true }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), idx_swap()]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
}
#[test]
@@ -871,7 +807,6 @@ mod tests {
debug_snapshot!(autobatch_from(true, None, [idx_del(), doc_imp(ReplaceDocuments, false, None)]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [idx_del(), doc_imp(UpdateDocuments, false, None)]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [idx_del(), doc_del()]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [idx_del(), doc_del_fil()]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [idx_del(), doc_clr()]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [idx_del(), settings(true)]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(true, None, [idx_del(), settings(false)]), @"Some((IndexDeletion { ids: [0] }, false))");
@@ -881,7 +816,6 @@ mod tests {
debug_snapshot!(autobatch_from(false,None, [idx_del(), doc_imp(ReplaceDocuments, false, None)]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(false,None, [idx_del(), doc_imp(UpdateDocuments, false, None)]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(false,None, [idx_del(), doc_del()]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(false,None, [idx_del(), doc_del_fil()]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(false,None, [idx_del(), doc_clr()]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(false,None, [idx_del(), settings(true)]), @"Some((IndexDeletion { ids: [0] }, false))");
debug_snapshot!(autobatch_from(false,None, [idx_del(), settings(false)]), @"Some((IndexDeletion { ids: [0] }, false))");
@@ -893,7 +827,6 @@ mod tests {
debug_snapshot!(autobatch_from(true, None, [doc_imp(ReplaceDocuments, false, None), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_imp(UpdateDocuments, false, None), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del(), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_del_fil(), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [doc_clr(), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(true, None, [settings(true), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, true))");
debug_snapshot!(autobatch_from(true, None, [settings(false), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
@@ -903,7 +836,6 @@ mod tests {
debug_snapshot!(autobatch_from(false,None, [doc_imp(ReplaceDocuments, false, None), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_imp(UpdateDocuments, false, None), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_del(), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_del_fil(), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false,None, [doc_clr(), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
debug_snapshot!(autobatch_from(false,None, [settings(true), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, true))");
debug_snapshot!(autobatch_from(false,None, [settings(false), idx_del()]), @"Some((IndexDeletion { ids: [0, 1] }, false))");
@@ -969,10 +901,10 @@ mod tests {
debug_snapshot!(autobatch_from(false,None, [doc_imp(ReplaceDocuments, false, None), settings(true)]), @"Some((DocumentOperation { method: ReplaceDocuments, allow_index_creation: false, primary_key: None, operation_ids: [0] }, false))");
// batch deletion and addition
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(ReplaceDocuments, true, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, true, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(ReplaceDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0], includes_by_filter: false }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(ReplaceDocuments, true, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, true, Some("catto"))]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(ReplaceDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
debug_snapshot!(autobatch_from(false, None, [doc_del(), doc_imp(UpdateDocuments, true, None)]), @"Some((DocumentDeletion { deletion_ids: [0] }, false))");
}
#[test]

View File

@@ -110,9 +110,9 @@ pub(crate) enum IndexOperation {
index_uid: String,
task: Task,
},
DocumentDeletion {
IndexDocumentDeletionByFilter {
index_uid: String,
tasks: Vec<Task>,
task: Task,
},
DocumentClear {
index_uid: String,
@@ -165,11 +165,11 @@ impl Batch {
Batch::IndexOperation { op, .. } => match op {
IndexOperation::DocumentOperation { tasks, .. }
| IndexOperation::Settings { tasks, .. }
| IndexOperation::DocumentDeletion { tasks, .. }
| IndexOperation::DocumentClear { tasks, .. } => {
RoaringBitmap::from_iter(tasks.iter().map(|task| task.uid))
}
IndexOperation::DocumentEdition { task, .. } => {
IndexOperation::DocumentEdition { task, .. }
| IndexOperation::IndexDocumentDeletionByFilter { task, .. } => {
RoaringBitmap::from_sorted_iter(std::iter::once(task.uid)).unwrap()
}
IndexOperation::SettingsAndDocumentOperation {
@@ -234,7 +234,7 @@ impl IndexOperation {
match self {
IndexOperation::DocumentOperation { index_uid, .. }
| IndexOperation::DocumentEdition { index_uid, .. }
| IndexOperation::DocumentDeletion { index_uid, .. }
| IndexOperation::IndexDocumentDeletionByFilter { index_uid, .. }
| IndexOperation::DocumentClear { index_uid, .. }
| IndexOperation::Settings { index_uid, .. }
| IndexOperation::DocumentClearAndSetting { index_uid, .. }
@@ -252,8 +252,8 @@ impl fmt::Display for IndexOperation {
IndexOperation::DocumentEdition { .. } => {
f.write_str("IndexOperation::DocumentEdition")
}
IndexOperation::DocumentDeletion { .. } => {
f.write_str("IndexOperation::DocumentDeletion")
IndexOperation::IndexDocumentDeletionByFilter { .. } => {
f.write_str("IndexOperation::IndexDocumentDeletionByFilter")
}
IndexOperation::DocumentClear { .. } => f.write_str("IndexOperation::DocumentClear"),
IndexOperation::Settings { .. } => f.write_str("IndexOperation::Settings"),
@@ -289,6 +289,21 @@ impl IndexScheduler {
},
must_create_index,
})),
BatchKind::DocumentDeletionByFilter { id } => {
let task = self.get_task(rtxn, id)?.ok_or(Error::CorruptedTaskQueue)?;
match &task.kind {
KindWithContent::DocumentDeletionByFilter { index_uid, .. } => {
Ok(Some(Batch::IndexOperation {
op: IndexOperation::IndexDocumentDeletionByFilter {
index_uid: index_uid.clone(),
task,
},
must_create_index: false,
}))
}
_ => unreachable!(),
}
}
BatchKind::DocumentEdition { id } => {
let task = self.get_task(rtxn, id)?.ok_or(Error::CorruptedTaskQueue)?;
match &task.kind {
@@ -351,11 +366,30 @@ impl IndexScheduler {
must_create_index,
}))
}
BatchKind::DocumentDeletion { deletion_ids, includes_by_filter: _ } => {
BatchKind::DocumentDeletion { deletion_ids } => {
let tasks = self.get_existing_tasks(rtxn, deletion_ids)?;
let mut operations = Vec::with_capacity(tasks.len());
let mut documents_counts = Vec::with_capacity(tasks.len());
for task in &tasks {
match task.kind {
KindWithContent::DocumentDeletion { ref documents_ids, .. } => {
operations.push(DocumentOperation::Delete(documents_ids.clone()));
documents_counts.push(documents_ids.len() as u64);
}
_ => unreachable!(),
}
}
Ok(Some(Batch::IndexOperation {
op: IndexOperation::DocumentDeletion { index_uid, tasks },
op: IndexOperation::DocumentOperation {
index_uid,
primary_key: None,
method: IndexDocumentsMethod::ReplaceDocuments,
documents_counts,
operations,
tasks,
},
must_create_index,
}))
}
@@ -1405,7 +1439,7 @@ impl IndexScheduler {
{
(original_filter, context, function)
} else {
// In the case of a `documentEdition` the details MUST be set
// In the case of a `documentDeleteByFilter` the details MUST be set
unreachable!();
};
@@ -1435,102 +1469,52 @@ impl IndexScheduler {
Ok(vec![task])
}
IndexOperation::DocumentDeletion { mut tasks, index_uid: _ } => {
let mut to_delete = RoaringBitmap::new();
let external_documents_ids = index.external_documents_ids();
IndexOperation::IndexDocumentDeletionByFilter { mut task, index_uid: _ } => {
let filter =
if let KindWithContent::DocumentDeletionByFilter { filter_expr, .. } =
&task.kind
{
filter_expr
} else {
unreachable!()
};
let deleted_documents = delete_document_by_filter(
index_wtxn,
filter,
self.index_mapper.indexer_config(),
self.must_stop_processing.clone(),
index,
);
let original_filter = if let Some(Details::DocumentDeletionByFilter {
original_filter,
deleted_documents: _,
}) = task.details
{
original_filter
} else {
// In the case of a `documentDeleteByFilter` the details MUST be set
unreachable!();
};
for task in tasks.iter_mut() {
let before = to_delete.len();
task.status = Status::Succeeded;
match &task.kind {
KindWithContent::DocumentDeletion { index_uid: _, documents_ids } => {
for id in documents_ids {
if let Some(id) = external_documents_ids.get(index_wtxn, id)? {
to_delete.insert(id);
}
}
let will_be_removed = to_delete.len() - before;
task.details = Some(Details::DocumentDeletion {
provided_ids: documents_ids.len(),
deleted_documents: Some(will_be_removed),
});
}
KindWithContent::DocumentDeletionByFilter { index_uid: _, filter_expr } => {
let before = to_delete.len();
let filter = match Filter::from_json(filter_expr) {
Ok(filter) => filter,
Err(err) => {
// theorically, this should be catched by deserr before reaching the index-scheduler and cannot happens
task.status = Status::Failed;
task.error = match err {
milli::Error::UserError(
milli::UserError::InvalidFilterExpression { .. },
) => Some(
Error::from(err)
.with_custom_error_code(Code::InvalidDocumentFilter)
.into(),
),
e => Some(e.into()),
};
None
}
};
if let Some(filter) = filter {
let candidates =
filter.evaluate(index_wtxn, index).map_err(|err| match err {
milli::Error::UserError(
milli::UserError::InvalidFilter(_),
) => Error::from(err)
.with_custom_error_code(Code::InvalidDocumentFilter),
e => e.into(),
});
match candidates {
Ok(candidates) => to_delete |= candidates,
Err(err) => {
task.status = Status::Failed;
task.error = Some(err.into());
}
};
}
let will_be_removed = to_delete.len() - before;
if let Some(Details::DocumentDeletionByFilter {
original_filter: _,
deleted_documents,
}) = &mut task.details
{
*deleted_documents = Some(will_be_removed);
} else {
// In the case of a `documentDeleteByFilter` the details MUST be set
unreachable!()
}
}
_ => unreachable!(),
match deleted_documents {
Ok(deleted_documents) => {
task.status = Status::Succeeded;
task.details = Some(Details::DocumentDeletionByFilter {
original_filter,
deleted_documents: Some(deleted_documents),
});
}
Err(e) => {
task.status = Status::Failed;
task.details = Some(Details::DocumentDeletionByFilter {
original_filter,
deleted_documents: Some(0),
});
task.error = Some(e.into());
}
}
let config = IndexDocumentsConfig {
update_method: IndexDocumentsMethod::ReplaceDocuments,
..Default::default()
};
let must_stop_processing = self.must_stop_processing.clone();
let mut builder = milli::update::IndexDocuments::new(
index_wtxn,
index,
self.index_mapper.indexer_config(),
config,
|indexing_step| tracing::debug!(update = ?indexing_step),
|| must_stop_processing.get(),
)?;
let (new_builder, _count) =
builder.remove_documents_from_db_no_batch(&to_delete)?;
builder = new_builder;
let _ = builder.execute()?;
Ok(tasks)
Ok(vec![task])
}
IndexOperation::Settings { index_uid: _, settings, mut tasks } => {
let indexer_config = self.index_mapper.indexer_config();
@@ -1734,6 +1718,46 @@ impl IndexScheduler {
}
}
fn delete_document_by_filter<'a>(
wtxn: &mut RwTxn<'a>,
filter: &serde_json::Value,
indexer_config: &IndexerConfig,
must_stop_processing: MustStopProcessing,
index: &'a Index,
) -> Result<u64> {
let filter = Filter::from_json(filter)?;
Ok(if let Some(filter) = filter {
let candidates = filter.evaluate(wtxn, index).map_err(|err| match err {
milli::Error::UserError(milli::UserError::InvalidFilter(_)) => {
Error::from(err).with_custom_error_code(Code::InvalidDocumentFilter)
}
e => e.into(),
})?;
let config = IndexDocumentsConfig {
update_method: IndexDocumentsMethod::ReplaceDocuments,
..Default::default()
};
let mut builder = milli::update::IndexDocuments::new(
wtxn,
index,
indexer_config,
config,
|indexing_step| tracing::debug!(update = ?indexing_step),
|| must_stop_processing.get(),
)?;
let (new_builder, count) = builder.remove_documents_from_db_no_batch(&candidates)?;
builder = new_builder;
let _ = builder.execute()?;
count
} else {
0
})
}
fn edit_documents_by_function<'a>(
wtxn: &mut RwTxn<'a>,
filter: &Option<serde_json::Value>,

View File

@@ -87,7 +87,7 @@ impl RoFeatures {
Ok(())
} else {
Err(FeatureNotEnabledError {
disabled_action: "Using `CONTAINS` or `STARTS WITH` in a filter",
disabled_action: "Using `CONTAINS` in a filter",
feature: "contains filter",
issue_link: "https://github.com/orgs/meilisearch/discussions/763",
}

View File

@@ -108,10 +108,8 @@ pub struct IndexStats {
/// Association of every field name with the number of times it occurs in the documents.
pub field_distribution: FieldDistribution,
/// Creation date of the index.
#[serde(with = "time::serde::rfc3339")]
pub created_at: OffsetDateTime,
/// Date of the last update of the index.
#[serde(with = "time::serde::rfc3339")]
pub updated_at: OffsetDateTime,
}

View File

@@ -11,9 +11,6 @@ use crate::index_mapper::IndexMapper;
use crate::{IndexScheduler, Kind, Status, BEI128};
pub fn snapshot_index_scheduler(scheduler: &IndexScheduler) -> String {
// Since we'll snapshot the index right afterward, we don't need to ensure it's internally consistent for every run.
// We can only do it for the release run, where the function runs way faster.
#[cfg(not(debug_assertions))]
scheduler.assert_internally_consistent();
let IndexScheduler {

View File

@@ -35,7 +35,6 @@ pub type TaskId = u32;
use std::collections::{BTreeMap, HashMap};
use std::io::{self, BufReader, Read};
use std::ops::{Bound, RangeBounds};
use std::panic::{catch_unwind, AssertUnwindSafe};
use std::path::{Path, PathBuf};
use std::sync::atomic::Ordering::{self, Relaxed};
use std::sync::atomic::{AtomicBool, AtomicU32};
@@ -613,24 +612,19 @@ impl IndexScheduler {
#[cfg(test)]
run.breakpoint(Breakpoint::Init);
run.wake_up.wait_timeout(std::time::Duration::from_secs(60));
run.wake_up.wait();
loop {
let ret = catch_unwind(AssertUnwindSafe(|| run.tick()));
match ret {
Ok(Ok(TickOutcome::TickAgain(_))) => (),
Ok(Ok(TickOutcome::WaitForSignal)) => run.wake_up.wait(),
Ok(Err(e)) => {
match run.tick() {
Ok(TickOutcome::TickAgain(_)) => (),
Ok(TickOutcome::WaitForSignal) => run.wake_up.wait(),
Err(e) => {
tracing::error!("{e}");
// Wait one second when an irrecoverable error occurs.
if !e.is_recoverable() {
std::thread::sleep(Duration::from_secs(1));
}
}
Err(_panic) => {
tracing::error!("Internal error: Unexpected panic in the `IndexScheduler::run` method.");
}
}
}
})
@@ -1263,7 +1257,7 @@ impl IndexScheduler {
#[cfg(test)]
self.maybe_fail(tests::FailureLocation::UpdatingTaskAfterProcessBatchFailure)?;
tracing::error!("Batch failed {}", error);
tracing::info!("Batch failed {}", error);
self.update_task(&mut wtxn, &task)
.map_err(|e| Error::TaskDatabaseUpdate(Box::new(e)))?;
@@ -1477,7 +1471,7 @@ impl IndexScheduler {
.map(
|IndexEmbeddingConfig {
name,
config: milli::vector::EmbeddingConfig { embedder_options, prompt, quantized },
config: milli::vector::EmbeddingConfig { embedder_options, prompt },
..
}| {
let prompt =
@@ -1486,10 +1480,7 @@ impl IndexScheduler {
{
let embedders = self.embedders.read().unwrap();
if let Some(embedder) = embedders.get(&embedder_options) {
return Ok((
name,
(embedder.clone(), prompt, quantized.unwrap_or_default()),
));
return Ok((name, (embedder.clone(), prompt)));
}
}
@@ -1503,7 +1494,7 @@ impl IndexScheduler {
let mut embedders = self.embedders.write().unwrap();
embedders.insert(embedder_options, embedder.clone());
}
Ok((name, (embedder, prompt, quantized.unwrap_or_default())))
Ok((name, (embedder, prompt)))
},
)
.collect();
@@ -1767,7 +1758,6 @@ mod tests {
use crossbeam::channel::RecvTimeoutError;
use file_store::File;
use insta::assert_json_snapshot;
use maplit::btreeset;
use meili_snap::{json_string, snapshot};
use meilisearch_auth::AuthFilter;
use meilisearch_types::document_formats::DocumentFormatError;
@@ -2010,13 +2000,11 @@ mod tests {
fn advance_till(&mut self, breakpoints: impl IntoIterator<Item = Breakpoint>) {
for breakpoint in breakpoints {
let b = self.advance();
let state = snapshot_index_scheduler(&self.index_scheduler);
assert_eq!(
b,
breakpoint,
"Was expecting the breakpoint `{:?}` but instead got `{:?}`.\n{}",
breakpoint,
b,
snapshot_index_scheduler(&self.index_scheduler)
b, breakpoint,
"Was expecting the breakpoint `{:?}` but instead got `{:?}`.\n{state}",
breakpoint, b
);
}
}
@@ -2040,6 +2028,7 @@ mod tests {
// Wait for one successful batch.
#[track_caller]
fn advance_one_successful_batch(&mut self) {
self.index_scheduler.assert_internally_consistent();
self.advance_till([Start, BatchCreated]);
loop {
match self.advance() {
@@ -2058,6 +2047,7 @@ mod tests {
}
self.advance_till([AfterProcessing]);
self.index_scheduler.assert_internally_consistent();
}
// Wait for one failed batch.
@@ -2557,117 +2547,6 @@ mod tests {
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
#[test]
fn fail_in_process_batch_for_document_deletion() {
let (index_scheduler, mut handle) = IndexScheduler::test(true, vec![]);
use meilisearch_types::settings::{Settings, Unchecked};
let mut new_settings: Box<Settings<Unchecked>> = Box::default();
new_settings.filterable_attributes = Setting::Set(btreeset!(S("catto")));
index_scheduler
.register(
KindWithContent::SettingsUpdate {
index_uid: S("doggos"),
new_settings,
is_deletion: false,
allow_index_creation: true,
},
None,
false,
)
.unwrap();
let content = r#"[
{ "id": 1, "doggo": "jean bob" },
{ "id": 2, "catto": "jorts" },
{ "id": 3, "doggo": "bork" }
]"#;
let (uuid, mut file) = index_scheduler.create_update_file_with_uuid(0).unwrap();
let documents_count = read_json(content.as_bytes(), &mut file).unwrap();
file.persist().unwrap();
index_scheduler
.register(
KindWithContent::DocumentAdditionOrUpdate {
index_uid: S("doggos"),
primary_key: Some(S("id")),
method: ReplaceDocuments,
content_file: uuid,
documents_count,
allow_index_creation: true,
},
None,
false,
)
.unwrap();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "registered_the_setting_and_document_addition");
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "after_adding_the_settings");
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "after_adding_the_documents");
index_scheduler
.register(
KindWithContent::DocumentDeletion {
index_uid: S("doggos"),
documents_ids: vec![S("1")],
},
None,
false,
)
.unwrap();
// This one should not be catched by Meilisearch but it's still nice to handle it because if one day we break the filters it could happens
index_scheduler
.register(
KindWithContent::DocumentDeletionByFilter {
index_uid: S("doggos"),
filter_expr: serde_json::json!(true),
},
None,
false,
)
.unwrap();
// Should fail because the ids are not filterable
index_scheduler
.register(
KindWithContent::DocumentDeletionByFilter {
index_uid: S("doggos"),
filter_expr: serde_json::json!("id = 2"),
},
None,
false,
)
.unwrap();
index_scheduler
.register(
KindWithContent::DocumentDeletionByFilter {
index_uid: S("doggos"),
filter_expr: serde_json::json!("catto EXISTS"),
},
None,
false,
)
.unwrap();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "registered_the_document_deletions");
// Everything should be batched together
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "after_removing_the_documents");
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let field_ids_map = index.fields_ids_map(&rtxn).unwrap();
let field_ids = field_ids_map.ids().collect::<Vec<_>>();
let documents = index
.all_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents_remaining_should_only_be_bork");
}
#[test]
fn do_not_batch_task_of_different_indexes() {
let (index_scheduler, mut handle) = IndexScheduler::test(true, vec![]);
@@ -3168,8 +3047,6 @@ mod tests {
api_key: Setting::Set(S("My super secret")),
url: Setting::Set(S("http://localhost:7777")),
dimensions: Setting::Set(4),
request: Setting::Set(serde_json::json!("{{text}}")),
response: Setting::Set(serde_json::json!("{{embedding}}")),
..Default::default()
};
embedders.insert(S("default"), Setting::Set(embedding_settings));
@@ -5129,8 +5006,6 @@ mod tests {
api_key: Setting::Set(S("My super secret")),
url: Setting::Set(S("http://localhost:7777")),
dimensions: Setting::Set(384),
request: Setting::Set(serde_json::json!("{{text}}")),
response: Setting::Set(serde_json::json!("{{embedding}}")),
..Default::default()
};
embedders.insert(S("A_fakerest"), Setting::Set(embedding_settings));
@@ -5200,11 +5075,10 @@ mod tests {
let simple_hf_name = name.clone();
let configs = index_scheduler.embedders(configs).unwrap();
let (hf_embedder, _, _) = configs.get(&simple_hf_name).unwrap();
let beagle_embed =
hf_embedder.embed_one(S("Intel the beagle best doggo"), None).unwrap();
let lab_embed = hf_embedder.embed_one(S("Max the lab best doggo"), None).unwrap();
let patou_embed = hf_embedder.embed_one(S("kefir the patou best doggo"), None).unwrap();
let (hf_embedder, _) = configs.get(&simple_hf_name).unwrap();
let beagle_embed = hf_embedder.embed_one(S("Intel the beagle best doggo")).unwrap();
let lab_embed = hf_embedder.embed_one(S("Max the lab best doggo")).unwrap();
let patou_embed = hf_embedder.embed_one(S("kefir the patou best doggo")).unwrap();
(fakerest_name, simple_hf_name, beagle_embed, lab_embed, patou_embed)
};
@@ -5519,11 +5393,7 @@ mod tests {
),
prompt: PromptData {
template: "{{doc.doggo}}",
max_bytes: Some(
400,
),
},
quantized: None,
},
user_provided: RoaringBitmap<[1, 2]>,
},
@@ -5536,8 +5406,28 @@ mod tests {
// the document with the id 3 should keep its original embedding
let docid = index.external_documents_ids.get(&rtxn, "3").unwrap().unwrap();
let embeddings = index.embeddings(&rtxn, docid).unwrap();
let embeddings = &embeddings["my_doggo_embedder"];
let mut embeddings = Vec::new();
'vectors: for i in 0..=u8::MAX {
let reader = arroy::Reader::open(&rtxn, i as u16, index.vector_arroy)
.map(Some)
.or_else(|e| match e {
arroy::Error::MissingMetadata(_) => Ok(None),
e => Err(e),
})
.transpose();
let Some(reader) = reader else {
break 'vectors;
};
let embedding = reader.unwrap().item_vector(&rtxn, docid).unwrap();
if let Some(embedding) = embedding {
embeddings.push(embedding)
} else {
break 'vectors;
}
}
snapshot!(embeddings.len(), @"1");
assert!(embeddings[0].iter().all(|i| *i == 3.0), "{:?}", embeddings[0]);
@@ -5717,12 +5607,8 @@ mod tests {
},
),
prompt: PromptData {
template: "{% for field in fields %}{% if field.is_searchable and field.value != nil %}{{ field.name }}: {{ field.value }}\n{% endif %}{% endfor %}",
max_bytes: Some(
400,
),
template: "{% for field in fields %} {{ field.name }}: {{ field.value }}\n{% endfor %}",
},
quantized: None,
},
user_provided: RoaringBitmap<[0]>,
},
@@ -5761,12 +5647,8 @@ mod tests {
},
),
prompt: PromptData {
template: "{% for field in fields %}{% if field.is_searchable and field.value != nil %}{{ field.name }}: {{ field.value }}\n{% endif %}{% endfor %}",
max_bytes: Some(
400,
),
template: "{% for field in fields %} {{ field.name }}: {{ field.value }}\n{% endfor %}",
},
quantized: None,
},
user_provided: RoaringBitmap<[]>,
},

View File

@@ -8,9 +8,7 @@ expression: task.details
"source": "rest",
"apiKey": "MyXXXX...",
"dimensions": 384,
"url": "http://localhost:7777",
"request": "{{text}}",
"response": "{{embedding}}"
"url": "http://localhost:7777"
},
"B_small_hf": {
"source": "huggingFace",

View File

@@ -8,8 +8,16 @@ expression: fakerest_config.embedder_options
"distribution": null,
"dimensions": 384,
"url": "http://localhost:7777",
"request": "{{text}}",
"response": "{{embedding}}",
"headers": {}
"query": null,
"input_field": [
"input"
],
"path_to_embeddings": [
"data"
],
"embedding_object": [
"embedding"
],
"input_type": "text"
}
}

View File

@@ -8,9 +8,7 @@ expression: task.details
"source": "rest",
"apiKey": "MyXXXX...",
"dimensions": 384,
"url": "http://localhost:7777",
"request": "{{text}}",
"response": "{{embedding}}"
"url": "http://localhost:7777"
},
"B_small_hf": {
"source": "huggingFace",

View File

@@ -8,9 +8,7 @@ expression: task.details
"source": "rest",
"apiKey": "MyXXXX...",
"dimensions": 4,
"url": "http://localhost:7777",
"request": "{{text}}",
"response": "{{embedding}}"
"url": "http://localhost:7777"
}
}
}

View File

@@ -1,6 +1,6 @@
---
source: index-scheduler/src/lib.rs
expression: config.embedder_options
expression: embedding_config.embedder_options
---
{
"Rest": {
@@ -8,8 +8,16 @@ expression: config.embedder_options
"distribution": null,
"dimensions": 4,
"url": "http://localhost:7777",
"request": "{{text}}",
"response": "{{embedding}}",
"headers": {}
"query": null,
"input_field": [
"input"
],
"path_to_embeddings": [
"data"
],
"embedding_object": [
"embedding"
],
"input_type": "text"
}
}

View File

@@ -8,9 +8,7 @@ expression: task.details
"source": "rest",
"apiKey": "MyXXXX...",
"dimensions": 4,
"url": "http://localhost:7777",
"request": "{{text}}",
"response": "{{embedding}}"
"url": "http://localhost:7777"
}
}
}

View File

@@ -1,44 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_documents: 3, indexed_documents: Some(3) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []
succeeded [0,1,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 3, field_distribution: {"catto": 1, "doggo": 2, "id": 3} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@@ -1,43 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: enqueued, details: { received_documents: 3, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [1,]
succeeded [0,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 0, field_distribution: {} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000000
----------------------------------------------------------------------

View File

@@ -1,43 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: enqueued, details: { received_documents: 3, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [1,]
succeeded [0,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 0, field_distribution: {} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000000
----------------------------------------------------------------------

View File

@@ -1,56 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_documents: 3, indexed_documents: Some(3) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
2 {uid: 2, status: succeeded, details: { received_document_ids: 1, deleted_documents: Some(1) }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1"] }}
3 {uid: 3, status: failed, error: ResponseError { code: 200, message: "Invalid type for filter subexpression: expected: String, Array, found: true.", error_code: "invalid_document_filter", error_type: "invalid_request", error_link: "https://docs.meilisearch.com/errors#invalid_document_filter" }, details: { original_filter: true, deleted_documents: Some(0) }, kind: DocumentDeletionByFilter { index_uid: "doggos", filter_expr: Bool(true) }}
4 {uid: 4, status: failed, error: ResponseError { code: 200, message: "Attribute `id` is not filterable. Available filterable attributes are: `catto`.\n1:3 id = 2", error_code: "invalid_document_filter", error_type: "invalid_request", error_link: "https://docs.meilisearch.com/errors#invalid_document_filter" }, details: { original_filter: "id = 2", deleted_documents: Some(0) }, kind: DocumentDeletionByFilter { index_uid: "doggos", filter_expr: String("id = 2") }}
5 {uid: 5, status: succeeded, details: { original_filter: "catto EXISTS", deleted_documents: Some(1) }, kind: DocumentDeletionByFilter { index_uid: "doggos", filter_expr: String("catto EXISTS") }}
----------------------------------------------------------------------
### Status:
enqueued []
succeeded [0,1,2,5,]
failed [3,4,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"documentDeletion" [2,3,4,5,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,2,3,4,5,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 1, field_distribution: {"doggo": 1, "id": 1} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
[timestamp] [2,]
[timestamp] [3,]
[timestamp] [4,]
[timestamp] [5,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
[timestamp] [1,]
[timestamp] [2,3,4,5,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
[timestamp] [1,]
[timestamp] [2,3,4,5,]
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@@ -1,9 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
[
{
"id": 3,
"doggo": "bork"
}
]

View File

@@ -1,53 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_documents: 3, indexed_documents: Some(3) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
2 {uid: 2, status: enqueued, details: { received_document_ids: 1, deleted_documents: None }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1"] }}
3 {uid: 3, status: enqueued, details: { original_filter: true, deleted_documents: None }, kind: DocumentDeletionByFilter { index_uid: "doggos", filter_expr: Bool(true) }}
4 {uid: 4, status: enqueued, details: { original_filter: "id = 2", deleted_documents: None }, kind: DocumentDeletionByFilter { index_uid: "doggos", filter_expr: String("id = 2") }}
5 {uid: 5, status: enqueued, details: { original_filter: "catto EXISTS", deleted_documents: None }, kind: DocumentDeletionByFilter { index_uid: "doggos", filter_expr: String("catto EXISTS") }}
----------------------------------------------------------------------
### Status:
enqueued [2,3,4,5,]
succeeded [0,1,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"documentDeletion" [2,3,4,5,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,2,3,4,5,]
----------------------------------------------------------------------
### Index Mapper:
doggos: { number_of_documents: 3, field_distribution: {"catto": 1, "doggo": 2, "id": 3} }
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
[timestamp] [2,]
[timestamp] [3,]
[timestamp] [4,]
[timestamp] [5,]
----------------------------------------------------------------------
### Started At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### File Store:
----------------------------------------------------------------------

View File

@@ -1,39 +0,0 @@
---
source: index-scheduler/src/lib.rs
---
### Autobatching Enabled = true
### Processing Tasks:
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set({"catto"}), sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: NotSet, search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: enqueued, details: { received_documents: 3, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: ReplaceDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 3, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [0,1,]
----------------------------------------------------------------------
### Kind:
"documentAdditionOrUpdate" [1,]
"settingsUpdate" [0,]
----------------------------------------------------------------------
### Index Tasks:
doggos [0,1,]
----------------------------------------------------------------------
### Index Mapper:
----------------------------------------------------------------------
### Canceled By:
----------------------------------------------------------------------
### Enqueued At:
[timestamp] [0,]
[timestamp] [1,]
----------------------------------------------------------------------
### Started At:
----------------------------------------------------------------------
### Finished At:
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000000
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
2 {uid: 2, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: None, method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000001, documents_count: 1, allow_index_creation: true }}
----------------------------------------------------------------------
@@ -46,3 +46,4 @@ doggos: { number_of_documents: 1, field_distribution: {"_vectors": 1, "breed": 1
### File Store:
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
2 {uid: 2, status: enqueued, details: { received_documents: 1, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: None, method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000001, documents_count: 1, allow_index_creation: true }}
----------------------------------------------------------------------
@@ -45,3 +45,4 @@ doggos: { number_of_documents: 1, field_distribution: {"_vectors": 1, "breed": 1
00000000-0000-0000-0000-000000000001
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: succeeded, details: { received_documents: 1, indexed_documents: Some(1) }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
@@ -42,3 +42,4 @@ doggos: { number_of_documents: 1, field_distribution: {"_vectors": 1, "breed": 1
### File Store:
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, status: enqueued, details: { received_documents: 1, indexed_documents: None }, kind: DocumentAdditionOrUpdate { index_uid: "doggos", primary_key: Some("id"), method: UpdateDocuments, content_file: 00000000-0000-0000-0000-000000000000, documents_count: 1, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
@@ -41,3 +41,4 @@ doggos: { number_of_documents: 0, field_distribution: {} }
00000000-0000-0000-0000-000000000000
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [0,]
@@ -33,3 +33,4 @@ doggos [0,]
### File Store:
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, binary_quantized: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), document_template_max_bytes: NotSet, url: NotSet, request: NotSet, response: NotSet, headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"A_fakerest": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(384), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), api_key: NotSet, dimensions: NotSet, document_template: Set("{{doc.doggo}} the {{doc.breed}} best doggo"), url: NotSet, query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []
@@ -37,3 +37,4 @@ doggos: { number_of_documents: 0, field_distribution: {} }
### File Store:
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [0,]
@@ -33,3 +33,4 @@ doggos [0,]
### File Store:
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: index-scheduler/src/lib.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), binary_quantized: NotSet, document_template: NotSet, document_template_max_bytes: NotSet, url: Set("http://localhost:7777"), request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> } }, kind: SettingsUpdate { index_uid: "doggos", new_settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: NotSet, sortable_attributes: NotSet, ranking_rules: NotSet, stop_words: NotSet, non_separator_tokens: NotSet, separator_tokens: NotSet, dictionary: NotSet, synonyms: NotSet, distinct_attribute: NotSet, proximity_precision: NotSet, typo_tolerance: NotSet, faceting: NotSet, pagination: NotSet, embedders: Set({"default": Set(EmbeddingSettings { source: Set(Rest), model: NotSet, revision: NotSet, api_key: Set("My super secret"), dimensions: Set(4), document_template: NotSet, url: Set("http://localhost:7777"), query: NotSet, input_field: NotSet, path_to_embeddings: NotSet, embedding_object: NotSet, input_type: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []
@@ -37,3 +37,4 @@ doggos: { number_of_documents: 0, field_distribution: {} }
### File Store:
----------------------------------------------------------------------

View File

@@ -66,8 +66,3 @@ khmer = ["milli/khmer"]
vietnamese = ["milli/vietnamese"]
# force swedish character recomposition
swedish-recomposition = ["milli/swedish-recomposition"]
# allow german tokenization
german = ["milli/german"]
# allow turkish normalization
turkish = ["milli/turkish"]

View File

@@ -238,14 +238,8 @@ InvalidIndexLimit , InvalidRequest , BAD_REQUEST ;
InvalidIndexOffset , InvalidRequest , BAD_REQUEST ;
InvalidIndexPrimaryKey , InvalidRequest , BAD_REQUEST ;
InvalidIndexUid , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchFacets , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchFacetsByIndex , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchFacetOrder , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchFederated , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchFederationOptions , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchMaxValuesPerFacet , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchMergeFacets , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchQueryFacets , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchQueryPagination , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchQueryRankingRules , InvalidRequest , BAD_REQUEST ;
InvalidMultiSearchWeight , InvalidRequest , BAD_REQUEST ;
@@ -262,7 +256,6 @@ InvalidSearchCropLength , InvalidRequest , BAD_REQUEST ;
InvalidSearchCropMarker , InvalidRequest , BAD_REQUEST ;
InvalidSearchFacets , InvalidRequest , BAD_REQUEST ;
InvalidSearchSemanticRatio , InvalidRequest , BAD_REQUEST ;
InvalidSearchLocales , InvalidRequest , BAD_REQUEST ;
InvalidFacetSearchFacetName , InvalidRequest , BAD_REQUEST ;
InvalidSimilarId , InvalidRequest , BAD_REQUEST ;
InvalidSearchFilter , InvalidRequest , BAD_REQUEST ;
@@ -304,7 +297,6 @@ InvalidSettingsSeparatorTokens , InvalidRequest , BAD_REQUEST ;
InvalidSettingsDictionary , InvalidRequest , BAD_REQUEST ;
InvalidSettingsSynonyms , InvalidRequest , BAD_REQUEST ;
InvalidSettingsTypoTolerance , InvalidRequest , BAD_REQUEST ;
InvalidSettingsLocalizedAttributes , InvalidRequest , BAD_REQUEST ;
InvalidState , Internal , INTERNAL_SERVER_ERROR ;
InvalidStoreFile , Internal , INTERNAL_SERVER_ERROR ;
InvalidSwapDuplicateIndexFound , InvalidRequest , BAD_REQUEST ;
@@ -394,11 +386,7 @@ impl ErrorCode for milli::Error {
| UserError::InvalidOpenAiModelDimensionsMax { .. }
| UserError::InvalidSettingsDimensions { .. }
| UserError::InvalidUrl { .. }
| UserError::InvalidSettingsDocumentTemplateMaxBytes { .. }
| UserError::InvalidPrompt(_)
| UserError::InvalidDisableBinaryQuantization { .. } => {
Code::InvalidSettingsEmbedders
}
| UserError::InvalidPrompt(_) => Code::InvalidSettingsEmbedders,
UserError::TooManyEmbedders(_) => Code::InvalidSettingsEmbedders,
UserError::InvalidPromptForEmbeddings(..) => Code::InvalidSettingsEmbedders,
UserError::NoPrimaryKeyCandidateFound => Code::IndexPrimaryKeyNoCandidateFound,

View File

@@ -1,4 +1,3 @@
use std::borrow::Borrow;
use std::error::Error;
use std::fmt;
use std::str::FromStr;
@@ -9,7 +8,7 @@ use crate::error::{Code, ErrorCode};
/// An index uid is composed of only ascii alphanumeric characters, - and _, between 1 and 400
/// bytes long
#[derive(Debug, Clone, PartialEq, Eq, Deserr, PartialOrd, Ord)]
#[derive(Debug, Clone, PartialEq, Eq, Deserr)]
#[deserr(try_from(String) = IndexUid::try_from -> IndexUidFormatError)]
pub struct IndexUid(String);
@@ -71,12 +70,6 @@ impl From<IndexUid> for String {
}
}
impl Borrow<String> for IndexUid {
fn borrow(&self) -> &String {
&self.0
}
}
#[derive(Debug)]
pub struct IndexUidFormatError {
pub invalid_uid: String,

View File

@@ -7,7 +7,6 @@ pub mod features;
pub mod index_uid;
pub mod index_uid_pattern;
pub mod keys;
pub mod locales;
pub mod settings;
pub mod star_or;
pub mod task_view;

View File

@@ -1,166 +0,0 @@
use deserr::Deserr;
use milli::LocalizedAttributesRule;
use serde::{Deserialize, Serialize};
#[derive(Debug, Clone, PartialEq, Eq, Deserr, Serialize, Deserialize)]
#[deserr(rename_all = camelCase)]
#[serde(rename_all = "camelCase")]
pub struct LocalizedAttributesRuleView {
pub attribute_patterns: Vec<String>,
pub locales: Vec<Locale>,
}
impl From<LocalizedAttributesRule> for LocalizedAttributesRuleView {
fn from(rule: LocalizedAttributesRule) -> Self {
Self {
attribute_patterns: rule.attribute_patterns,
locales: rule.locales.into_iter().map(|l| l.into()).collect(),
}
}
}
impl From<LocalizedAttributesRuleView> for LocalizedAttributesRule {
fn from(view: LocalizedAttributesRuleView) -> Self {
Self {
attribute_patterns: view.attribute_patterns,
locales: view.locales.into_iter().map(|l| l.into()).collect(),
}
}
}
/// Generate a Locale enum and its From and Into implementations for milli::tokenizer::Language.
///
/// this enum implements `Deserr` in order to be used in the API.
macro_rules! make_locale {
($(($iso_639_1:ident, $iso_639_1_str:expr) => ($iso_639_3:ident, $iso_639_3_str:expr),)+) => {
#[derive(Debug, Copy, Clone, PartialEq, Eq, Deserr, Serialize, Deserialize, Ord, PartialOrd)]
#[deserr(rename_all = camelCase)]
#[serde(rename_all = "camelCase")]
pub enum Locale {
$($iso_639_1,)+
$($iso_639_3,)+
Cmn,
}
impl From<milli::tokenizer::Language> for Locale {
fn from(other: milli::tokenizer::Language) -> Locale {
match other {
$(milli::tokenizer::Language::$iso_639_3 => Locale::$iso_639_3,)+
milli::tokenizer::Language::Cmn => Locale::Cmn,
}
}
}
impl From<Locale> for milli::tokenizer::Language {
fn from(other: Locale) -> milli::tokenizer::Language {
match other {
$(Locale::$iso_639_1 => milli::tokenizer::Language::$iso_639_3,)+
$(Locale::$iso_639_3 => milli::tokenizer::Language::$iso_639_3,)+
Locale::Cmn => milli::tokenizer::Language::Cmn,
}
}
}
impl std::str::FromStr for Locale {
type Err = LocaleFormatError;
fn from_str(s: &str) -> Result<Self, Self::Err> {
let locale = match s {
$($iso_639_1_str => Locale::$iso_639_1,)+
$($iso_639_3_str => Locale::$iso_639_3,)+
"cmn" => Locale::Cmn,
_ => return Err(LocaleFormatError { invalid_locale: s.to_string() }),
};
Ok(locale)
}
}
#[derive(Debug)]
pub struct LocaleFormatError {
pub invalid_locale: String,
}
impl std::fmt::Display for LocaleFormatError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
let mut valid_locales = [$($iso_639_1_str),+,$($iso_639_3_str),+,"cmn"];
valid_locales.sort_by(|left, right| left.len().cmp(&right.len()).then(left.cmp(right)));
write!(f, "Unsupported locale `{}`, expected one of {}", self.invalid_locale, valid_locales.join(", "))
}
}
impl std::error::Error for LocaleFormatError {}
};
}
make_locale!(
(Af, "af") => (Afr, "afr"),
(Ak, "ak") => (Aka, "aka"),
(Am, "am") => (Amh, "amh"),
(Ar, "ar") => (Ara, "ara"),
(Az, "az") => (Aze, "aze"),
(Be, "be") => (Bel, "bel"),
(Bn, "bn") => (Ben, "ben"),
(Bg, "bg") => (Bul, "bul"),
(Ca, "ca") => (Cat, "cat"),
(Cs, "cs") => (Ces, "ces"),
(Da, "da") => (Dan, "dan"),
(De, "de") => (Deu, "deu"),
(El, "el") => (Ell, "ell"),
(En, "en") => (Eng, "eng"),
(Eo, "eo") => (Epo, "epo"),
(Et, "et") => (Est, "est"),
(Fi, "fi") => (Fin, "fin"),
(Fr, "fr") => (Fra, "fra"),
(Gu, "gu") => (Guj, "guj"),
(He, "he") => (Heb, "heb"),
(Hi, "hi") => (Hin, "hin"),
(Hr, "hr") => (Hrv, "hrv"),
(Hu, "hu") => (Hun, "hun"),
(Hy, "hy") => (Hye, "hye"),
(Id, "id") => (Ind, "ind"),
(It, "it") => (Ita, "ita"),
(Jv, "jv") => (Jav, "jav"),
(Ja, "ja") => (Jpn, "jpn"),
(Kn, "kn") => (Kan, "kan"),
(Ka, "ka") => (Kat, "kat"),
(Km, "km") => (Khm, "khm"),
(Ko, "ko") => (Kor, "kor"),
(La, "la") => (Lat, "lat"),
(Lv, "lv") => (Lav, "lav"),
(Lt, "lt") => (Lit, "lit"),
(Ml, "ml") => (Mal, "mal"),
(Mr, "mr") => (Mar, "mar"),
(Mk, "mk") => (Mkd, "mkd"),
(My, "my") => (Mya, "mya"),
(Ne, "ne") => (Nep, "nep"),
(Nl, "nl") => (Nld, "nld"),
(Nb, "nb") => (Nob, "nob"),
(Or, "or") => (Ori, "ori"),
(Pa, "pa") => (Pan, "pan"),
(Fa, "fa") => (Pes, "pes"),
(Pl, "pl") => (Pol, "pol"),
(Pt, "pt") => (Por, "por"),
(Ro, "ro") => (Ron, "ron"),
(Ru, "ru") => (Rus, "rus"),
(Si, "si") => (Sin, "sin"),
(Sk, "sk") => (Slk, "slk"),
(Sl, "sl") => (Slv, "slv"),
(Sn, "sn") => (Sna, "sna"),
(Es, "es") => (Spa, "spa"),
(Sr, "sr") => (Srp, "srp"),
(Sv, "sv") => (Swe, "swe"),
(Ta, "ta") => (Tam, "tam"),
(Te, "te") => (Tel, "tel"),
(Tl, "tl") => (Tgl, "tgl"),
(Th, "th") => (Tha, "tha"),
(Tk, "tk") => (Tuk, "tuk"),
(Tr, "tr") => (Tur, "tur"),
(Uk, "uk") => (Ukr, "ukr"),
(Ur, "ur") => (Urd, "urd"),
(Uz, "uz") => (Uzb, "uzb"),
(Vi, "vi") => (Vie, "vie"),
(Yi, "yi") => (Yid, "yid"),
(Zh, "zh") => (Zho, "zho"),
(Zu, "zu") => (Zul, "zul"),
);

View File

@@ -17,7 +17,6 @@ use serde::{Deserialize, Serialize, Serializer};
use crate::deserr::DeserrJsonError;
use crate::error::deserr_codes::*;
use crate::facet_values_sort::FacetValuesSort;
use crate::locales::LocalizedAttributesRuleView;
/// The maximum number of results that the engine
/// will be able to return in one search call.
@@ -199,9 +198,6 @@ pub struct Settings<T> {
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsSearchCutoffMs>)]
pub search_cutoff_ms: Setting<u64>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsLocalizedAttributes>)]
pub localized_attributes: Setting<Vec<LocalizedAttributesRuleView>>,
#[serde(skip)]
#[deserr(skip)]
@@ -265,7 +261,6 @@ impl Settings<Checked> {
pagination: Setting::Reset,
embedders: Setting::Reset,
search_cutoff_ms: Setting::Reset,
localized_attributes: Setting::Reset,
_kind: PhantomData,
}
}
@@ -289,8 +284,7 @@ impl Settings<Checked> {
pagination,
embedders,
search_cutoff_ms,
localized_attributes: localized_attributes_rules,
_kind,
..
} = self;
Settings {
@@ -311,7 +305,6 @@ impl Settings<Checked> {
pagination,
embedders,
search_cutoff_ms,
localized_attributes: localized_attributes_rules,
_kind: PhantomData,
}
}
@@ -359,7 +352,6 @@ impl Settings<Unchecked> {
pagination: self.pagination,
embedders: self.embedders,
search_cutoff_ms: self.search_cutoff_ms,
localized_attributes: self.localized_attributes,
_kind: PhantomData,
}
}
@@ -410,7 +402,6 @@ pub fn apply_settings_to_builder(
pagination,
embedders,
search_cutoff_ms,
localized_attributes: localized_attributes_rules,
_kind,
} = settings;
@@ -494,13 +485,6 @@ pub fn apply_settings_to_builder(
Setting::NotSet => (),
}
match localized_attributes_rules {
Setting::Set(ref rules) => builder
.set_localized_attributes_rules(rules.iter().cloned().map(|r| r.into()).collect()),
Setting::Reset => builder.reset_localized_attributes_rules(),
Setting::NotSet => (),
}
match typo_tolerance {
Setting::Set(ref value) => {
match value.enabled {
@@ -695,8 +679,6 @@ pub fn settings(
let search_cutoff_ms = index.search_cutoff(rtxn)?;
let localized_attributes_rules = index.localized_attributes_rules(rtxn)?;
let mut settings = Settings {
displayed_attributes: match displayed_attributes {
Some(attrs) => Setting::Set(attrs),
@@ -729,10 +711,6 @@ pub fn settings(
Some(cutoff) => Setting::Set(cutoff),
None => Setting::Reset,
},
localized_attributes: match localized_attributes_rules {
Some(rules) => Setting::Set(rules.into_iter().map(|r| r.into()).collect()),
None => Setting::Reset,
},
_kind: PhantomData,
};
@@ -924,7 +902,6 @@ pub(crate) mod test {
faceting: Setting::NotSet,
pagination: Setting::NotSet,
embedders: Setting::NotSet,
localized_attributes: Setting::NotSet,
search_cutoff_ms: Setting::NotSet,
_kind: PhantomData::<Unchecked>,
};
@@ -953,7 +930,6 @@ pub(crate) mod test {
faceting: Setting::NotSet,
pagination: Setting::NotSet,
embedders: Setting::NotSet,
localized_attributes: Setting::NotSet,
search_cutoff_ms: Setting::NotSet,
_kind: PhantomData::<Unchecked>,
};

View File

@@ -10,50 +10,36 @@ static VERSION_MINOR: &str = env!("CARGO_PKG_VERSION_MINOR");
static VERSION_PATCH: &str = env!("CARGO_PKG_VERSION_PATCH");
/// Persists the version of the current Meilisearch binary to a VERSION file
pub fn create_current_version_file(db_path: &Path) -> io::Result<()> {
create_version_file(db_path, VERSION_MAJOR, VERSION_MINOR, VERSION_PATCH)
}
pub fn create_version_file(
db_path: &Path,
major: &str,
minor: &str,
patch: &str,
) -> io::Result<()> {
pub fn create_version_file(db_path: &Path) -> io::Result<()> {
let version_path = db_path.join(VERSION_FILE_NAME);
fs::write(version_path, format!("{}.{}.{}", major, minor, patch))
fs::write(version_path, format!("{}.{}.{}", VERSION_MAJOR, VERSION_MINOR, VERSION_PATCH))
}
/// Ensures Meilisearch version is compatible with the database, returns an error versions mismatch.
pub fn check_version_file(db_path: &Path) -> anyhow::Result<()> {
let (major, minor, patch) = get_version(db_path)?;
if major != VERSION_MAJOR || minor != VERSION_MINOR {
return Err(VersionFileError::VersionMismatch { major, minor, patch }.into());
}
Ok(())
}
pub fn get_version(db_path: &Path) -> Result<(String, String, String), VersionFileError> {
let version_path = db_path.join(VERSION_FILE_NAME);
match fs::read_to_string(version_path) {
Ok(version) => parse_version(&version),
Err(error) => match error.kind() {
ErrorKind::NotFound => Err(VersionFileError::MissingVersionFile),
_ => Err(error.into()),
},
}
}
Ok(version) => {
let version_components = version.split('.').collect::<Vec<_>>();
let (major, minor, patch) = match &version_components[..] {
[major, minor, patch] => (major.to_string(), minor.to_string(), patch.to_string()),
_ => return Err(VersionFileError::MalformedVersionFile.into()),
};
pub fn parse_version(version: &str) -> Result<(String, String, String), VersionFileError> {
let version_components = version.split('.').collect::<Vec<_>>();
let (major, minor, patch) = match &version_components[..] {
[major, minor, patch] => (major.to_string(), minor.to_string(), patch.to_string()),
_ => return Err(VersionFileError::MalformedVersionFile),
};
Ok((major, minor, patch))
if major != VERSION_MAJOR || minor != VERSION_MINOR {
return Err(VersionFileError::VersionMismatch { major, minor, patch }.into());
}
}
Err(error) => {
return match error.kind() {
ErrorKind::NotFound => Err(VersionFileError::MissingVersionFile.into()),
_ => Err(error.into()),
}
}
}
Ok(())
}
#[derive(thiserror::Error, Debug)]
@@ -72,7 +58,4 @@ pub enum VersionFileError {
env!("CARGO_PKG_VERSION").to_string()
)]
VersionMismatch { major: String, minor: String, patch: String },
#[error(transparent)]
IoError(#[from] std::io::Error),
}

View File

@@ -75,7 +75,7 @@ reqwest = { version = "0.12.5", features = [
rustls = { version = "0.23.11", features = ["ring"], default-features = false }
rustls-pki-types = { version = "1.7.0", features = ["alloc"] }
rustls-pemfile = "2.1.2"
segment = { version = "0.2.4" }
segment = { version = "0.2.4", optional = true }
serde = { version = "1.0.204", features = ["derive"] }
serde_json = { version = "1.0.120", features = ["preserve_order"] }
sha2 = "0.10.8"
@@ -104,7 +104,6 @@ tracing-trace = { version = "0.1.0", path = "../tracing-trace" }
tracing-actix-web = "0.7.11"
build-info = { version = "1.7.0", path = "../build-info" }
roaring = "0.10.2"
mopa-maintained = "0.2.3"
[dev-dependencies]
actix-rt = "2.10.0"
@@ -115,7 +114,6 @@ maplit = "1.0.2"
meili-snap = { path = "../meili-snap" }
temp-env = "0.3.6"
urlencoding = "2.1.3"
wiremock = "0.6.0"
yaup = "0.3.1"
[build-dependencies]
@@ -132,7 +130,8 @@ tempfile = { version = "3.10.1", optional = true }
zip = { version = "2.1.3", optional = true }
[features]
default = ["meilisearch-types/all-tokenizations", "mini-dashboard"]
default = ["analytics", "meilisearch-types/all-tokenizations", "mini-dashboard"]
analytics = ["segment"]
mini-dashboard = [
"static-files",
"anyhow",
@@ -153,9 +152,7 @@ greek = ["meilisearch-types/greek"]
khmer = ["meilisearch-types/khmer"]
vietnamese = ["meilisearch-types/vietnamese"]
swedish-recomposition = ["meilisearch-types/swedish-recomposition"]
german = ["meilisearch-types/german"]
turkish = ["meilisearch-types/turkish"]
[package.metadata.mini-dashboard]
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.15/build.zip"
sha1 = "d057600b4a839a2e0c0be7a372cd1b2683f3ca7e"
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.14/build.zip"
sha1 = "592d1b5a3459d621d0aae1dded8fe3154f5c38fe"

View File

@@ -0,0 +1,109 @@
use std::any::Any;
use std::sync::Arc;
use actix_web::HttpRequest;
use meilisearch_types::InstanceUid;
use serde_json::Value;
use super::{find_user_id, Analytics, DocumentDeletionKind, DocumentFetchKind};
use crate::routes::indexes::documents::{DocumentEditionByFunction, UpdateDocumentsQuery};
use crate::Opt;
pub struct MockAnalytics {
instance_uid: Option<InstanceUid>,
}
#[derive(Default)]
pub struct SearchAggregator;
#[allow(dead_code)]
impl SearchAggregator {
pub fn from_query(_: &dyn Any, _: &dyn Any) -> Self {
Self
}
pub fn succeed(&mut self, _: &dyn Any) {}
}
#[derive(Default)]
pub struct SimilarAggregator;
#[allow(dead_code)]
impl SimilarAggregator {
pub fn from_query(_: &dyn Any, _: &dyn Any) -> Self {
Self
}
pub fn succeed(&mut self, _: &dyn Any) {}
}
#[derive(Default)]
pub struct MultiSearchAggregator;
#[allow(dead_code)]
impl MultiSearchAggregator {
pub fn from_federated_search(_: &dyn Any, _: &dyn Any) -> Self {
Self
}
pub fn succeed(&mut self) {}
}
#[derive(Default)]
pub struct FacetSearchAggregator;
#[allow(dead_code)]
impl FacetSearchAggregator {
pub fn from_query(_: &dyn Any, _: &dyn Any) -> Self {
Self
}
pub fn succeed(&mut self, _: &dyn Any) {}
}
impl MockAnalytics {
#[allow(clippy::new_ret_no_self)]
pub fn new(opt: &Opt) -> Arc<dyn Analytics> {
let instance_uid = find_user_id(&opt.db_path);
Arc::new(Self { instance_uid })
}
}
impl Analytics for MockAnalytics {
fn instance_uid(&self) -> Option<&meilisearch_types::InstanceUid> {
self.instance_uid.as_ref()
}
// These methods are noop and should be optimized out
fn publish(&self, _event_name: String, _send: Value, _request: Option<&HttpRequest>) {}
fn get_search(&self, _aggregate: super::SearchAggregator) {}
fn post_search(&self, _aggregate: super::SearchAggregator) {}
fn get_similar(&self, _aggregate: super::SimilarAggregator) {}
fn post_similar(&self, _aggregate: super::SimilarAggregator) {}
fn post_multi_search(&self, _aggregate: super::MultiSearchAggregator) {}
fn post_facet_search(&self, _aggregate: super::FacetSearchAggregator) {}
fn add_documents(
&self,
_documents_query: &UpdateDocumentsQuery,
_index_creation: bool,
_request: &HttpRequest,
) {
}
fn delete_documents(&self, _kind: DocumentDeletionKind, _request: &HttpRequest) {}
fn update_documents(
&self,
_documents_query: &UpdateDocumentsQuery,
_index_creation: bool,
_request: &HttpRequest,
) {
}
fn update_documents_by_function(
&self,
_documents_query: &DocumentEditionByFunction,
_index_creation: bool,
_request: &HttpRequest,
) {
}
fn get_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
fn post_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
}

View File

@@ -1,45 +1,44 @@
pub mod segment_analytics;
mod mock_analytics;
#[cfg(feature = "analytics")]
mod segment_analytics;
use std::fs;
use std::path::{Path, PathBuf};
use std::str::FromStr;
use std::sync::Arc;
use actix_web::HttpRequest;
use index_scheduler::IndexScheduler;
use meilisearch_auth::AuthController;
use meilisearch_types::InstanceUid;
use mopa::mopafy;
pub use mock_analytics::MockAnalytics;
use once_cell::sync::Lazy;
use platform_dirs::AppDirs;
use serde_json::Value;
use crate::routes::indexes::documents::{DocumentEditionByFunction, UpdateDocumentsQuery};
// if the analytics feature is disabled
// the `SegmentAnalytics` point to the mock instead of the real analytics
#[cfg(not(feature = "analytics"))]
pub type SegmentAnalytics = mock_analytics::MockAnalytics;
#[cfg(not(feature = "analytics"))]
pub type SearchAggregator = mock_analytics::SearchAggregator;
#[cfg(not(feature = "analytics"))]
pub type SimilarAggregator = mock_analytics::SimilarAggregator;
#[cfg(not(feature = "analytics"))]
pub type MultiSearchAggregator = mock_analytics::MultiSearchAggregator;
#[cfg(not(feature = "analytics"))]
pub type FacetSearchAggregator = mock_analytics::FacetSearchAggregator;
// if the feature analytics is enabled we use the real analytics
#[cfg(feature = "analytics")]
pub type SegmentAnalytics = segment_analytics::SegmentAnalytics;
use crate::Opt;
/// A macro used to quickly define events that don't aggregate or send anything besides an empty event with its name.
#[macro_export]
macro_rules! empty_analytics {
($struct_name:ident, $event_name:literal) => {
#[derive(Default)]
struct $struct_name {}
impl $crate::analytics::Aggregate for $struct_name {
fn event_name(&self) -> &'static str {
$event_name
}
fn aggregate(self: Box<Self>, _other: Box<Self>) -> Box<Self> {
self
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::json!({})
}
}
};
}
#[cfg(feature = "analytics")]
pub type SearchAggregator = segment_analytics::SearchAggregator;
#[cfg(feature = "analytics")]
pub type SimilarAggregator = segment_analytics::SimilarAggregator;
#[cfg(feature = "analytics")]
pub type MultiSearchAggregator = segment_analytics::MultiSearchAggregator;
#[cfg(feature = "analytics")]
pub type FacetSearchAggregator = segment_analytics::FacetSearchAggregator;
/// The Meilisearch config dir:
/// `~/.config/Meilisearch` on *NIX or *BSD.
@@ -79,88 +78,60 @@ pub enum DocumentFetchKind {
Normal { with_filter: bool, limit: usize, offset: usize, retrieve_vectors: bool },
}
/// To send an event to segment, your event must be able to aggregate itself with another event of the same type.
pub trait Aggregate: 'static + mopa::Any + Send {
/// The name of the event that will be sent to segment.
fn event_name(&self) -> &'static str;
/// Will be called every time an event has been used twice before segment flushed its buffer.
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self>
where
Self: Sized;
/// Converts your structure to the final event that'll be sent to segment.
fn into_event(self: Box<Self>) -> serde_json::Value;
}
mopafy!(Aggregate);
/// Helper trait to define multiple aggregates with the same content but a different name.
/// Commonly used when you must aggregate a search with POST or with GET, for example.
pub trait AggregateMethod: 'static + Default + Send {
fn event_name() -> &'static str;
}
/// A macro used to quickly define multiple aggregate method with their name
/// Usage:
/// ```rust
/// use meilisearch::aggregate_methods;
///
/// aggregate_methods!(
/// SearchGET => "Documents Searched GET",
/// SearchPOST => "Documents Searched POST",
/// );
/// ```
#[macro_export]
macro_rules! aggregate_methods {
($method:ident => $event_name:literal) => {
#[derive(Default)]
pub struct $method {}
impl $crate::analytics::AggregateMethod for $method {
fn event_name() -> &'static str {
$event_name
}
}
};
($($method:ident => $event_name:literal,)+) => {
$(
aggregate_methods!($method => $event_name);
)+
};
}
#[derive(Clone)]
pub struct Analytics {
segment: Option<Arc<SegmentAnalytics>>,
}
impl Analytics {
pub async fn new(
opt: &Opt,
index_scheduler: Arc<IndexScheduler>,
auth_controller: Arc<AuthController>,
) -> Self {
if opt.no_analytics {
Self { segment: None }
} else {
Self { segment: SegmentAnalytics::new(opt, index_scheduler, auth_controller).await }
}
}
pub fn no_analytics() -> Self {
Self { segment: None }
}
pub fn instance_uid(&self) -> Option<&InstanceUid> {
self.segment.as_ref().map(|segment| segment.instance_uid.as_ref())
}
pub trait Analytics: Sync + Send {
fn instance_uid(&self) -> Option<&InstanceUid>;
/// The method used to publish most analytics that do not need to be batched every hours
pub fn publish<T: Aggregate>(&self, event: T, request: &HttpRequest) {
if let Some(ref segment) = self.segment {
let _ = segment.sender.try_send(segment_analytics::Message::new(event, request));
}
}
fn publish(&self, event_name: String, send: Value, request: Option<&HttpRequest>);
/// This method should be called to aggregate a get search
fn get_search(&self, aggregate: SearchAggregator);
/// This method should be called to aggregate a post search
fn post_search(&self, aggregate: SearchAggregator);
/// This method should be called to aggregate a get similar request
fn get_similar(&self, aggregate: SimilarAggregator);
/// This method should be called to aggregate a post similar request
fn post_similar(&self, aggregate: SimilarAggregator);
/// This method should be called to aggregate a post array of searches
fn post_multi_search(&self, aggregate: MultiSearchAggregator);
/// This method should be called to aggregate post facet values searches
fn post_facet_search(&self, aggregate: FacetSearchAggregator);
// this method should be called to aggregate an add documents request
fn add_documents(
&self,
documents_query: &UpdateDocumentsQuery,
index_creation: bool,
request: &HttpRequest,
);
// this method should be called to aggregate a fetch documents request
fn get_fetch_documents(&self, documents_query: &DocumentFetchKind, request: &HttpRequest);
// this method should be called to aggregate a fetch documents request
fn post_fetch_documents(&self, documents_query: &DocumentFetchKind, request: &HttpRequest);
// this method should be called to aggregate a add documents request
fn delete_documents(&self, kind: DocumentDeletionKind, request: &HttpRequest);
// this method should be called to batch an update documents request
fn update_documents(
&self,
documents_query: &UpdateDocumentsQuery,
index_creation: bool,
request: &HttpRequest,
);
// this method should be called to batch an update documents by function request
fn update_documents_by_function(
&self,
documents_query: &DocumentEditionByFunction,
index_creation: bool,
request: &HttpRequest,
);
}

File diff suppressed because it is too large Load Diff

View File

@@ -4,7 +4,6 @@ use byte_unit::{Byte, UnitType};
use meilisearch_types::document_formats::{DocumentFormatError, PayloadType};
use meilisearch_types::error::{Code, ErrorCode, ResponseError};
use meilisearch_types::index_uid::{IndexUid, IndexUidFormatError};
use meilisearch_types::milli::OrderBy;
use serde_json::Value;
use tokio::task::JoinError;
@@ -28,20 +27,10 @@ pub enum MeilisearchHttpError {
EmptyFilter,
#[error("Invalid syntax for the filter parameter: `expected {}, found: {1}`.", .0.join(", "))]
InvalidExpression(&'static [&'static str], Value),
#[error("Using `federationOptions` is not allowed in a non-federated search.\n - Hint: remove `federationOptions` from query #{0} or add `federation` to the request.")]
#[error("Using `federationOptions` is not allowed in a non-federated search.\n Hint: remove `federationOptions` from query #{0} or add `federation: {{}}` to the request.")]
FederationOptionsInNonFederatedRequest(usize),
#[error("Inside `.queries[{0}]`: Using pagination options is not allowed in federated queries.\n - Hint: remove `{1}` from query #{0} or remove `federation` from the request\n - Hint: pass `federation.limit` and `federation.offset` for pagination in federated search")]
#[error("Inside `.queries[{0}]`: Using pagination options is not allowed in federated queries.\n Hint: remove `{1}` from query #{0} or remove `federation: {{}}` from the request")]
PaginationInFederatedQuery(usize, &'static str),
#[error("Inside `.queries[{0}]`: Using facet options is not allowed in federated queries.\n - Hint: remove `facets` from query #{0} or remove `federation` from the request\n - Hint: pass `federation.facetsByIndex.{1}: {2:?}` for facets in federated search")]
FacetsInFederatedQuery(usize, String, Vec<String>),
#[error("Inconsistent order for values in facet `{facet}`: index `{previous_uid}` orders {previous_facet_order}, but index `{current_uid}` orders {index_facet_order}.\n - Hint: Remove `federation.mergeFacets` or change `faceting.sortFacetValuesBy` to be consistent in settings.")]
InconsistentFacetOrder {
facet: String,
previous_facet_order: OrderBy,
previous_uid: String,
index_facet_order: OrderBy,
current_uid: String,
},
#[error("A {0} payload is missing.")]
MissingPayload(PayloadType),
#[error("Too many search requests running at the same time: {0}. Retry after 10s.")]
@@ -72,7 +61,7 @@ pub enum MeilisearchHttpError {
DocumentFormat(#[from] DocumentFormatError),
#[error(transparent)]
Join(#[from] JoinError),
#[error("Invalid request: missing `hybrid` parameter when `vector` is present.")]
#[error("Invalid request: missing `hybrid` parameter when both `q` and `vector` are present.")]
MissingSearchHybrid,
}
@@ -107,10 +96,6 @@ impl ErrorCode for MeilisearchHttpError {
MeilisearchHttpError::PaginationInFederatedQuery(_, _) => {
Code::InvalidMultiSearchQueryPagination
}
MeilisearchHttpError::FacetsInFederatedQuery(..) => Code::InvalidMultiSearchQueryFacets,
MeilisearchHttpError::InconsistentFacetOrder { .. } => {
Code::InvalidMultiSearchFacetOrder
}
}
}
}

View File

@@ -13,10 +13,11 @@ pub mod search_queue;
use std::fs::File;
use std::io::{BufReader, BufWriter};
use std::num::NonZeroUsize;
use std::path::Path;
use std::str::FromStr;
use std::sync::Arc;
use std::thread;
use std::thread::{self, available_parallelism};
use std::time::Duration;
use actix_cors::Cors;
@@ -36,7 +37,7 @@ use meilisearch_types::milli::documents::{DocumentsBatchBuilder, DocumentsBatchR
use meilisearch_types::milli::update::{IndexDocumentsConfig, IndexDocumentsMethod};
use meilisearch_types::settings::apply_settings_to_builder;
use meilisearch_types::tasks::KindWithContent;
use meilisearch_types::versioning::{check_version_file, create_current_version_file};
use meilisearch_types::versioning::{check_version_file, create_version_file};
use meilisearch_types::{compression, milli, VERSION_FILE_NAME};
pub use option::Opt;
use option::ScheduleSnapshot;
@@ -117,10 +118,9 @@ pub type LogStderrType = tracing_subscriber::filter::Filtered<
pub fn create_app(
index_scheduler: Data<IndexScheduler>,
auth_controller: Data<AuthController>,
search_queue: Data<SearchQueue>,
opt: Opt,
logs: (LogRouteHandle, LogStderrHandle),
analytics: Data<Analytics>,
analytics: Arc<dyn Analytics>,
enable_dashboard: bool,
) -> actix_web::App<
impl ServiceFactory<
@@ -137,7 +137,6 @@ pub fn create_app(
s,
index_scheduler.clone(),
auth_controller.clone(),
search_queue.clone(),
&opt,
logs,
analytics.clone(),
@@ -319,7 +318,7 @@ fn open_or_create_database_unchecked(
match (
index_scheduler_builder(),
auth_controller.map_err(anyhow::Error::from),
create_current_version_file(&opt.db_path).map_err(anyhow::Error::from),
create_version_file(&opt.db_path).map_err(anyhow::Error::from),
) {
(Ok(i), Ok(a), Ok(())) => Ok((i, a)),
(Err(e), _, _) | (_, Err(e), _) | (_, _, Err(e)) => {
@@ -470,17 +469,20 @@ pub fn configure_data(
config: &mut web::ServiceConfig,
index_scheduler: Data<IndexScheduler>,
auth: Data<AuthController>,
search_queue: Data<SearchQueue>,
opt: &Opt,
(logs_route, logs_stderr): (LogRouteHandle, LogStderrHandle),
analytics: Data<Analytics>,
analytics: Arc<dyn Analytics>,
) {
let search_queue = SearchQueue::new(
opt.experimental_search_queue_size,
available_parallelism().unwrap_or(NonZeroUsize::new(2).unwrap()),
);
let http_payload_size_limit = opt.http_payload_size_limit.as_u64() as usize;
config
.app_data(index_scheduler)
.app_data(auth)
.app_data(search_queue)
.app_data(analytics)
.app_data(web::Data::new(search_queue))
.app_data(web::Data::from(analytics))
.app_data(web::Data::new(logs_route))
.app_data(web::Data::new(logs_stderr))
.app_data(web::Data::new(opt.clone()))

View File

@@ -1,11 +1,8 @@
use std::env;
use std::io::{stderr, LineWriter, Write};
use std::num::NonZeroUsize;
use std::path::PathBuf;
use std::str::FromStr;
use std::sync::Arc;
use std::thread::available_parallelism;
use std::time::Duration;
use actix_web::http::KeepAlive;
use actix_web::web::Data;
@@ -14,7 +11,6 @@ use index_scheduler::IndexScheduler;
use is_terminal::IsTerminal;
use meilisearch::analytics::Analytics;
use meilisearch::option::LogMode;
use meilisearch::search_queue::SearchQueue;
use meilisearch::{
analytics, create_app, setup_meilisearch, LogRouteHandle, LogRouteType, LogStderrHandle,
LogStderrType, Opt, SubscriberForSecondLayer,
@@ -76,19 +72,6 @@ fn on_panic(info: &std::panic::PanicInfo) {
#[actix_web::main]
async fn main() -> anyhow::Result<()> {
try_main().await.inspect_err(|error| {
tracing::error!(%error);
let mut current = error.source();
let mut depth = 0;
while let Some(source) = current {
tracing::info!(%source, depth, "Error caused by");
current = source.source();
depth += 1;
}
})
}
async fn try_main() -> anyhow::Result<()> {
let (opt, config_read_from) = Opt::try_build()?;
std::panic::set_hook(Box::new(on_panic));
@@ -124,12 +107,19 @@ async fn try_main() -> anyhow::Result<()> {
let (index_scheduler, auth_controller) = setup_meilisearch(&opt)?;
let analytics =
analytics::Analytics::new(&opt, index_scheduler.clone(), auth_controller.clone()).await;
#[cfg(all(not(debug_assertions), feature = "analytics"))]
let analytics = if !opt.no_analytics {
analytics::SegmentAnalytics::new(&opt, index_scheduler.clone(), auth_controller.clone())
.await
} else {
analytics::MockAnalytics::new(&opt)
};
#[cfg(any(debug_assertions, not(feature = "analytics")))]
let analytics = analytics::MockAnalytics::new(&opt);
print_launch_resume(&opt, analytics.clone(), config_read_from);
run_http(index_scheduler, auth_controller, opt, log_handle, Arc::new(analytics)).await?;
run_http(index_scheduler, auth_controller, opt, log_handle, analytics).await?;
Ok(())
}
@@ -139,30 +129,17 @@ async fn run_http(
auth_controller: Arc<AuthController>,
opt: Opt,
logs: (LogRouteHandle, LogStderrHandle),
analytics: Arc<Analytics>,
analytics: Arc<dyn Analytics>,
) -> anyhow::Result<()> {
let enable_dashboard = &opt.env == "development";
let opt_clone = opt.clone();
let index_scheduler = Data::from(index_scheduler);
let auth_controller = Data::from(auth_controller);
let analytics = Data::from(analytics);
let search_queue = SearchQueue::new(
opt.experimental_search_queue_size,
available_parallelism()
.unwrap_or(NonZeroUsize::new(2).unwrap())
.checked_mul(opt.experimental_nb_searches_per_core)
.unwrap_or(NonZeroUsize::MAX),
)
.with_time_to_abort(Duration::from_secs(
usize::from(opt.experimental_drop_search_after) as u64
));
let search_queue = Data::new(search_queue);
let http_server = HttpServer::new(move || {
create_app(
index_scheduler.clone(),
auth_controller.clone(),
search_queue.clone(),
opt.clone(),
logs.clone(),
analytics.clone(),
@@ -181,7 +158,11 @@ async fn run_http(
Ok(())
}
pub fn print_launch_resume(opt: &Opt, analytics: Analytics, config_read_from: Option<PathBuf>) {
pub fn print_launch_resume(
opt: &Opt,
analytics: Arc<dyn Analytics>,
config_read_from: Option<PathBuf>,
) {
let build_info = build_info::BuildInfo::from_build();
let protocol =
@@ -223,6 +204,7 @@ pub fn print_launch_resume(opt: &Opt, analytics: Analytics, config_read_from: Op
eprintln!("Prototype:\t\t{:?}", prototype);
}
#[cfg(all(not(debug_assertions), feature = "analytics"))]
{
if !opt.no_analytics {
eprintln!(

View File

@@ -55,17 +55,16 @@ where
let index_scheduler = req.app_data::<Data<IndexScheduler>>().unwrap();
let features = index_scheduler.features();
let request_path = req.path();
let request_pattern = req.match_pattern();
let metric_path = request_pattern.as_ref().map_or(request_path, String::as_str).to_string();
let request_method = req.method().to_string();
if features.check_metrics().is_ok() {
let request_path = req.path();
let is_registered_resource = req.resource_map().has_resource(request_path);
if is_registered_resource {
let request_pattern = req.match_pattern();
let metric_path = request_pattern.as_ref().map_or(request_path, String::as_str);
let request_method = req.method().to_string();
histogram_timer = Some(
crate::metrics::MEILISEARCH_HTTP_RESPONSE_TIME_SECONDS
.with_label_values(&[&request_method, &metric_path])
.with_label_values(&[&request_method, metric_path])
.start_timer(),
);
}
@@ -77,7 +76,11 @@ where
let res = fut.await?;
crate::metrics::MEILISEARCH_HTTP_REQUESTS_TOTAL
.with_label_values(&[&request_method, &metric_path, res.status().as_str()])
.with_label_values(&[
res.request().method().as_str(),
res.request().path(),
res.status().as_str(),
])
.inc();
if let Some(histogram_timer) = histogram_timer {

View File

@@ -2,7 +2,7 @@ use std::env::VarError;
use std::ffi::OsStr;
use std::fmt::Display;
use std::io::{BufReader, Read};
use std::num::{NonZeroUsize, ParseIntError};
use std::num::ParseIntError;
use std::ops::Deref;
use std::path::PathBuf;
use std::str::FromStr;
@@ -29,6 +29,7 @@ const MEILI_MASTER_KEY: &str = "MEILI_MASTER_KEY";
const MEILI_ENV: &str = "MEILI_ENV";
const MEILI_TASK_WEBHOOK_URL: &str = "MEILI_TASK_WEBHOOK_URL";
const MEILI_TASK_WEBHOOK_AUTHORIZATION_HEADER: &str = "MEILI_TASK_WEBHOOK_AUTHORIZATION_HEADER";
#[cfg(feature = "analytics")]
const MEILI_NO_ANALYTICS: &str = "MEILI_NO_ANALYTICS";
const MEILI_HTTP_PAYLOAD_SIZE_LIMIT: &str = "MEILI_HTTP_PAYLOAD_SIZE_LIMIT";
const MEILI_SSL_CERT_PATH: &str = "MEILI_SSL_CERT_PATH";
@@ -54,8 +55,6 @@ const MEILI_EXPERIMENTAL_ENABLE_LOGS_ROUTE: &str = "MEILI_EXPERIMENTAL_ENABLE_LO
const MEILI_EXPERIMENTAL_CONTAINS_FILTER: &str = "MEILI_EXPERIMENTAL_CONTAINS_FILTER";
const MEILI_EXPERIMENTAL_ENABLE_METRICS: &str = "MEILI_EXPERIMENTAL_ENABLE_METRICS";
const MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE: &str = "MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE";
const MEILI_EXPERIMENTAL_DROP_SEARCH_AFTER: &str = "MEILI_EXPERIMENTAL_DROP_SEARCH_AFTER";
const MEILI_EXPERIMENTAL_NB_SEARCHES_PER_CORE: &str = "MEILI_EXPERIMENTAL_NB_SEARCHES_PER_CORE";
const MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE: &str =
"MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE";
const MEILI_EXPERIMENTAL_MAX_NUMBER_OF_BATCHED_TASKS: &str =
@@ -209,6 +208,7 @@ pub struct Opt {
/// Meilisearch automatically collects data from all instances that do not opt out using this flag.
/// All gathered data is used solely for the purpose of improving Meilisearch, and can be deleted
/// at any time.
#[cfg(feature = "analytics")]
#[serde(default)] // we can't send true
#[clap(long, env = MEILI_NO_ANALYTICS)]
pub no_analytics: bool,
@@ -357,26 +357,10 @@ pub struct Opt {
/// Lets you customize the size of the search queue. Meilisearch processes your search requests as fast as possible but once the
/// queue is full it starts returning HTTP 503, Service Unavailable.
/// The default value is 1000.
#[clap(long, env = MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE, default_value_t = default_experimental_search_queue_size())]
#[serde(default = "default_experimental_search_queue_size")]
#[clap(long, env = MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE, default_value_t = 1000)]
#[serde(default)]
pub experimental_search_queue_size: usize,
/// Experimental drop search after. For more information, see: <https://github.com/orgs/meilisearch/discussions/783>
///
/// Let you customize after how many seconds Meilisearch should consider a search request irrelevant and drop it.
/// The default value is 60.
#[clap(long, env = MEILI_EXPERIMENTAL_DROP_SEARCH_AFTER, default_value_t = default_drop_search_after())]
#[serde(default = "default_drop_search_after")]
pub experimental_drop_search_after: NonZeroUsize,
/// Experimental number of searches per core. For more information, see: <https://github.com/orgs/meilisearch/discussions/784>
///
/// Lets you customize how many search requests can run on each core concurrently.
/// The default value is 4.
#[clap(long, env = MEILI_EXPERIMENTAL_NB_SEARCHES_PER_CORE, default_value_t = default_nb_searches_per_core())]
#[serde(default = "default_nb_searches_per_core")]
pub experimental_nb_searches_per_core: NonZeroUsize,
/// Experimental logs mode feature. For more information, see: <https://github.com/orgs/meilisearch/discussions/723>
///
/// Change the mode of the logs on the console.
@@ -423,6 +407,7 @@ pub struct Opt {
impl Opt {
/// Whether analytics should be enabled or not.
#[cfg(all(not(debug_assertions), feature = "analytics"))]
pub fn analytics(&self) -> bool {
!self.no_analytics
}
@@ -502,12 +487,11 @@ impl Opt {
ignore_missing_dump: _,
ignore_dump_if_db_exists: _,
config_file_path: _,
#[cfg(feature = "analytics")]
no_analytics,
experimental_contains_filter,
experimental_enable_metrics,
experimental_search_queue_size,
experimental_drop_search_after,
experimental_nb_searches_per_core,
experimental_logs_mode,
experimental_enable_logs_route,
experimental_replication_parameters,
@@ -529,7 +513,10 @@ impl Opt {
);
}
export_to_env_if_not_present(MEILI_NO_ANALYTICS, no_analytics.to_string());
#[cfg(feature = "analytics")]
{
export_to_env_if_not_present(MEILI_NO_ANALYTICS, no_analytics.to_string());
}
export_to_env_if_not_present(
MEILI_HTTP_PAYLOAD_SIZE_LIMIT,
http_payload_size_limit.to_string(),
@@ -572,14 +559,6 @@ impl Opt {
MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE,
experimental_search_queue_size.to_string(),
);
export_to_env_if_not_present(
MEILI_EXPERIMENTAL_DROP_SEARCH_AFTER,
experimental_drop_search_after.to_string(),
);
export_to_env_if_not_present(
MEILI_EXPERIMENTAL_NB_SEARCHES_PER_CORE,
experimental_nb_searches_per_core.to_string(),
);
export_to_env_if_not_present(
MEILI_EXPERIMENTAL_LOGS_MODE,
experimental_logs_mode.to_string(),
@@ -911,18 +890,6 @@ fn default_dump_dir() -> PathBuf {
PathBuf::from(DEFAULT_DUMP_DIR)
}
fn default_experimental_search_queue_size() -> usize {
1000
}
fn default_drop_search_after() -> NonZeroUsize {
NonZeroUsize::new(60).unwrap()
}
fn default_nb_searches_per_core() -> NonZeroUsize {
NonZeroUsize::new(4).unwrap()
}
/// Indicates if a snapshot was scheduled, and if yes with which interval.
#[derive(Debug, Default, Copy, Clone, Deserialize, Serialize)]
pub enum ScheduleSnapshot {

View File

@@ -4,6 +4,7 @@ use index_scheduler::IndexScheduler;
use meilisearch_auth::AuthController;
use meilisearch_types::error::ResponseError;
use meilisearch_types::tasks::KindWithContent;
use serde_json::json;
use tracing::debug;
use crate::analytics::Analytics;
@@ -17,16 +18,14 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(web::resource("").route(web::post().to(SeqHandler(create_dump))));
}
crate::empty_analytics!(DumpAnalytics, "Dump Created");
pub async fn create_dump(
index_scheduler: GuardedData<ActionPolicy<{ actions::DUMPS_CREATE }>, Data<IndexScheduler>>,
auth_controller: GuardedData<ActionPolicy<{ actions::DUMPS_CREATE }>, Data<AuthController>>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
analytics.publish(DumpAnalytics::default(), &req);
analytics.publish("Dump Created".to_string(), json!({}), Some(&req));
let task = KindWithContent::DumpCreation {
keys: auth_controller.list_keys()?,

View File

@@ -6,10 +6,10 @@ use index_scheduler::IndexScheduler;
use meilisearch_types::deserr::DeserrJsonError;
use meilisearch_types::error::ResponseError;
use meilisearch_types::keys::actions;
use serde::Serialize;
use serde_json::json;
use tracing::debug;
use crate::analytics::{Aggregate, Analytics};
use crate::analytics::Analytics;
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
@@ -17,7 +17,7 @@ use crate::extractors::sequential_extractor::SeqHandler;
pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(
web::resource("")
.route(web::get().to(get_features))
.route(web::get().to(SeqHandler(get_features)))
.route(web::patch().to(SeqHandler(patch_features))),
);
}
@@ -27,9 +27,12 @@ async fn get_features(
ActionPolicy<{ actions::EXPERIMENTAL_FEATURES_GET }>,
Data<IndexScheduler>,
>,
req: HttpRequest,
analytics: Data<dyn Analytics>,
) -> HttpResponse {
let features = index_scheduler.features();
analytics.publish("Experimental features Seen".to_string(), json!(null), Some(&req));
let features = features.runtime_features();
debug!(returns = ?features, "Get features");
HttpResponse::Ok().json(features)
@@ -50,35 +53,6 @@ pub struct RuntimeTogglableFeatures {
pub contains_filter: Option<bool>,
}
#[derive(Serialize)]
pub struct PatchExperimentalFeatureAnalytics {
vector_store: bool,
metrics: bool,
logs_route: bool,
edit_documents_by_function: bool,
contains_filter: bool,
}
impl Aggregate for PatchExperimentalFeatureAnalytics {
fn event_name(&self) -> &'static str {
"Experimental features Updated"
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self {
vector_store: new.vector_store,
metrics: new.metrics,
logs_route: new.logs_route,
edit_documents_by_function: new.edit_documents_by_function,
contains_filter: new.contains_filter,
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(*self).unwrap_or_default()
}
}
async fn patch_features(
index_scheduler: GuardedData<
ActionPolicy<{ actions::EXPERIMENTAL_FEATURES_UPDATE }>,
@@ -86,7 +60,7 @@ async fn patch_features(
>,
new_features: AwebJson<RuntimeTogglableFeatures, DeserrJsonError>,
req: HttpRequest,
analytics: Data<Analytics>,
analytics: Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let features = index_scheduler.features();
debug!(parameters = ?new_features, "Patch features");
@@ -115,14 +89,15 @@ async fn patch_features(
} = new_features;
analytics.publish(
PatchExperimentalFeatureAnalytics {
vector_store,
metrics,
logs_route,
edit_documents_by_function,
contains_filter,
},
&req,
"Experimental features Updated".to_string(),
json!({
"vector_store": vector_store,
"metrics": metrics,
"logs_route": logs_route,
"edit_documents_by_function": edit_documents_by_function,
"contains_filter": contains_filter,
}),
Some(&req),
);
index_scheduler.put_runtime_features(new_features)?;
debug!(returns = ?new_features, "Patch features");

View File

@@ -1,6 +1,4 @@
use std::collections::HashSet;
use std::io::ErrorKind;
use std::marker::PhantomData;
use actix_web::http::header::CONTENT_TYPE;
use actix_web::web::Data;
@@ -25,14 +23,14 @@ use meilisearch_types::tasks::KindWithContent;
use meilisearch_types::{milli, Document, Index};
use mime::Mime;
use once_cell::sync::Lazy;
use serde::{Deserialize, Serialize};
use serde::Deserialize;
use serde_json::Value;
use tempfile::tempfile;
use tokio::fs::File;
use tokio::io::{AsyncSeekExt, AsyncWriteExt, BufWriter};
use tracing::debug;
use crate::analytics::{Aggregate, AggregateMethod, Analytics};
use crate::analytics::{Analytics, DocumentDeletionKind, DocumentFetchKind};
use crate::error::MeilisearchHttpError;
use crate::error::PayloadError::ReceivePayload;
use crate::extractors::authentication::policies::*;
@@ -43,7 +41,7 @@ use crate::routes::{
get_task_id, is_dry_run, PaginationView, SummarizedTaskView, PAGINATION_DEFAULT_LIMIT,
};
use crate::search::{parse_filter, RetrieveVectors};
use crate::{aggregate_methods, Opt};
use crate::Opt;
static ACCEPTED_CONTENT_TYPE: Lazy<Vec<String>> = Lazy::new(|| {
vec!["application/json".to_string(), "application/x-ndjson".to_string(), "text/csv".to_string()]
@@ -102,84 +100,12 @@ pub struct GetDocument {
retrieve_vectors: Param<bool>,
}
aggregate_methods!(
DocumentsGET => "Documents Fetched GET",
DocumentsPOST => "Documents Fetched POST",
);
#[derive(Serialize)]
pub struct DocumentsFetchAggregator<Method: AggregateMethod> {
// a call on ../documents/:doc_id
per_document_id: bool,
// if a filter was used
per_filter: bool,
#[serde(rename = "vector.retrieve_vectors")]
retrieve_vectors: bool,
// pagination
#[serde(rename = "pagination.max_limit")]
max_limit: usize,
#[serde(rename = "pagination.max_offset")]
max_offset: usize,
marker: std::marker::PhantomData<Method>,
}
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
pub enum DocumentFetchKind {
PerDocumentId { retrieve_vectors: bool },
Normal { with_filter: bool, limit: usize, offset: usize, retrieve_vectors: bool },
}
impl<Method: AggregateMethod> DocumentsFetchAggregator<Method> {
pub fn from_query(query: &DocumentFetchKind) -> Self {
let (limit, offset, retrieve_vectors) = match query {
DocumentFetchKind::PerDocumentId { retrieve_vectors } => (1, 0, *retrieve_vectors),
DocumentFetchKind::Normal { limit, offset, retrieve_vectors, .. } => {
(*limit, *offset, *retrieve_vectors)
}
};
Self {
per_document_id: matches!(query, DocumentFetchKind::PerDocumentId { .. }),
per_filter: matches!(query, DocumentFetchKind::Normal { with_filter, .. } if *with_filter),
max_limit: limit,
max_offset: offset,
retrieve_vectors,
marker: PhantomData,
}
}
}
impl<Method: AggregateMethod> Aggregate for DocumentsFetchAggregator<Method> {
fn event_name(&self) -> &'static str {
Method::event_name()
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self {
per_document_id: self.per_document_id | new.per_document_id,
per_filter: self.per_filter | new.per_filter,
retrieve_vectors: self.retrieve_vectors | new.retrieve_vectors,
max_limit: self.max_limit.max(new.max_limit),
max_offset: self.max_offset.max(new.max_offset),
marker: PhantomData,
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(*self).unwrap_or_default()
}
}
pub async fn get_document(
index_scheduler: GuardedData<ActionPolicy<{ actions::DOCUMENTS_GET }>, Data<IndexScheduler>>,
document_param: web::Path<DocumentParam>,
params: AwebQueryParameter<GetDocument, DeserrQueryParamError>,
req: HttpRequest,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let DocumentParam { index_uid, document_id } = document_param.into_inner();
debug!(parameters = ?params, "Get document");
@@ -191,15 +117,8 @@ pub async fn get_document(
let features = index_scheduler.features();
let retrieve_vectors = RetrieveVectors::new(param_retrieve_vectors.0, features)?;
analytics.publish(
DocumentsFetchAggregator::<DocumentsGET> {
retrieve_vectors: param_retrieve_vectors.0,
per_document_id: true,
per_filter: false,
max_limit: 0,
max_offset: 0,
marker: PhantomData,
},
analytics.get_fetch_documents(
&DocumentFetchKind::PerDocumentId { retrieve_vectors: param_retrieve_vectors.0 },
&req,
);
@@ -210,52 +129,17 @@ pub async fn get_document(
Ok(HttpResponse::Ok().json(document))
}
#[derive(Serialize)]
pub struct DocumentsDeletionAggregator {
per_document_id: bool,
clear_all: bool,
per_batch: bool,
per_filter: bool,
}
impl Aggregate for DocumentsDeletionAggregator {
fn event_name(&self) -> &'static str {
"Documents Deleted"
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self {
per_document_id: self.per_document_id | new.per_document_id,
clear_all: self.clear_all | new.clear_all,
per_batch: self.per_batch | new.per_batch,
per_filter: self.per_filter | new.per_filter,
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(*self).unwrap_or_default()
}
}
pub async fn delete_document(
index_scheduler: GuardedData<ActionPolicy<{ actions::DOCUMENTS_DELETE }>, Data<IndexScheduler>>,
path: web::Path<DocumentParam>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let DocumentParam { index_uid, document_id } = path.into_inner();
let index_uid = IndexUid::try_from(index_uid)?;
analytics.publish(
DocumentsDeletionAggregator {
per_document_id: true,
clear_all: false,
per_batch: false,
per_filter: false,
},
&req,
);
analytics.delete_documents(DocumentDeletionKind::PerDocumentId, &req);
let task = KindWithContent::DocumentDeletion {
index_uid: index_uid.to_string(),
@@ -306,19 +190,17 @@ pub async fn documents_by_query_post(
index_uid: web::Path<String>,
body: AwebJson<BrowseQuery, DeserrJsonError>,
req: HttpRequest,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let body = body.into_inner();
debug!(parameters = ?body, "Get documents POST");
analytics.publish(
DocumentsFetchAggregator::<DocumentsPOST> {
per_filter: body.filter.is_some(),
analytics.post_fetch_documents(
&DocumentFetchKind::Normal {
with_filter: body.filter.is_some(),
limit: body.limit,
offset: body.offset,
retrieve_vectors: body.retrieve_vectors,
max_limit: body.limit,
max_offset: body.offset,
per_document_id: false,
marker: PhantomData,
},
&req,
);
@@ -331,7 +213,7 @@ pub async fn get_documents(
index_uid: web::Path<String>,
params: AwebQueryParameter<BrowseQueryGet, DeserrQueryParamError>,
req: HttpRequest,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?params, "Get documents GET");
@@ -353,14 +235,12 @@ pub async fn get_documents(
filter,
};
analytics.publish(
DocumentsFetchAggregator::<DocumentsGET> {
per_filter: query.filter.is_some(),
analytics.get_fetch_documents(
&DocumentFetchKind::Normal {
with_filter: query.filter.is_some(),
limit: query.limit,
offset: query.offset,
retrieve_vectors: query.retrieve_vectors,
max_limit: query.limit,
max_offset: query.offset,
per_document_id: false,
marker: PhantomData,
},
&req,
);
@@ -418,39 +298,6 @@ fn from_char_csv_delimiter(
}
}
aggregate_methods!(
Replaced => "Documents Added",
Updated => "Documents Updated",
);
#[derive(Serialize)]
pub struct DocumentsAggregator<T: AggregateMethod> {
payload_types: HashSet<String>,
primary_key: HashSet<String>,
index_creation: bool,
#[serde(skip)]
method: PhantomData<T>,
}
impl<Method: AggregateMethod> Aggregate for DocumentsAggregator<Method> {
fn event_name(&self) -> &'static str {
Method::event_name()
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self {
payload_types: self.payload_types.union(&new.payload_types).cloned().collect(),
primary_key: self.primary_key.union(&new.primary_key).cloned().collect(),
index_creation: self.index_creation | new.index_creation,
method: PhantomData,
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(self).unwrap_or_default()
}
}
pub async fn replace_documents(
index_scheduler: GuardedData<ActionPolicy<{ actions::DOCUMENTS_ADD }>, Data<IndexScheduler>>,
index_uid: web::Path<String>,
@@ -458,32 +305,16 @@ pub async fn replace_documents(
body: Payload,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
debug!(parameters = ?params, "Replace documents");
let params = params.into_inner();
let mut content_types = HashSet::new();
let content_type = req
.headers()
.get(CONTENT_TYPE)
.and_then(|s| s.to_str().ok())
.unwrap_or("unknown")
.to_string();
content_types.insert(content_type);
let mut primary_keys = HashSet::new();
if let Some(primary_key) = params.primary_key.clone() {
primary_keys.insert(primary_key);
}
analytics.publish(
DocumentsAggregator::<Replaced> {
payload_types: content_types,
primary_key: primary_keys,
index_creation: index_scheduler.index_exists(&index_uid).map_or(true, |x| !x),
method: PhantomData,
},
analytics.add_documents(
&params,
index_scheduler.index_exists(&index_uid).map_or(true, |x| !x),
&req,
);
@@ -515,32 +346,16 @@ pub async fn update_documents(
body: Payload,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let params = params.into_inner();
debug!(parameters = ?params, "Update documents");
let mut content_types = HashSet::new();
let content_type = req
.headers()
.get(CONTENT_TYPE)
.and_then(|s| s.to_str().ok())
.unwrap_or("unknown")
.to_string();
content_types.insert(content_type);
let mut primary_keys = HashSet::new();
if let Some(primary_key) = params.primary_key.clone() {
primary_keys.insert(primary_key);
}
analytics.publish(
DocumentsAggregator::<Updated> {
payload_types: content_types,
primary_key: primary_keys,
index_creation: index_scheduler.index_exists(&index_uid).map_or(true, |x| !x),
method: PhantomData,
},
analytics.add_documents(
&params,
index_scheduler.index_exists(&index_uid).map_or(true, |x| !x),
&req,
);
@@ -709,20 +524,12 @@ pub async fn delete_documents_batch(
body: web::Json<Vec<Value>>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?body, "Delete documents by batch");
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
analytics.publish(
DocumentsDeletionAggregator {
per_batch: true,
per_document_id: false,
clear_all: false,
per_filter: false,
},
&req,
);
analytics.delete_documents(DocumentDeletionKind::PerBatch, &req);
let ids = body
.iter()
@@ -755,22 +562,14 @@ pub async fn delete_documents_by_filter(
body: AwebJson<DocumentDeletionByFilter, DeserrJsonError>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?body, "Delete documents by filter");
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let index_uid = index_uid.into_inner();
let filter = body.into_inner().filter;
analytics.publish(
DocumentsDeletionAggregator {
per_filter: true,
per_document_id: false,
clear_all: false,
per_batch: false,
},
&req,
);
analytics.delete_documents(DocumentDeletionKind::PerFilter, &req);
// we ensure the filter is well formed before enqueuing it
crate::search::parse_filter(&filter, Code::InvalidDocumentFilter, index_scheduler.features())?
@@ -800,41 +599,13 @@ pub struct DocumentEditionByFunction {
pub function: String,
}
#[derive(Serialize)]
struct EditDocumentsByFunctionAggregator {
// Set to true if at least one request was filtered
filtered: bool,
// Set to true if at least one request contained a context
with_context: bool,
index_creation: bool,
}
impl Aggregate for EditDocumentsByFunctionAggregator {
fn event_name(&self) -> &'static str {
"Documents Edited By Function"
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self {
filtered: self.filtered | new.filtered,
with_context: self.with_context | new.with_context,
index_creation: self.index_creation | new.index_creation,
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(*self).unwrap_or_default()
}
}
pub async fn edit_documents_by_function(
index_scheduler: GuardedData<ActionPolicy<{ actions::DOCUMENTS_ALL }>, Data<IndexScheduler>>,
index_uid: web::Path<String>,
params: AwebJson<DocumentEditionByFunction, DeserrJsonError>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?params, "Edit documents by function");
@@ -846,12 +617,9 @@ pub async fn edit_documents_by_function(
let index_uid = index_uid.into_inner();
let params = params.into_inner();
analytics.publish(
EditDocumentsByFunctionAggregator {
filtered: params.filter.is_some(),
with_context: params.context.is_some(),
index_creation: index_scheduler.index(&index_uid).is_err(),
},
analytics.update_documents_by_function(
&params,
index_scheduler.index(&index_uid).is_err(),
&req,
);
@@ -902,18 +670,10 @@ pub async fn clear_all_documents(
index_uid: web::Path<String>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
analytics.publish(
DocumentsDeletionAggregator {
clear_all: true,
per_document_id: false,
per_batch: false,
per_filter: false,
},
&req,
);
analytics.delete_documents(DocumentDeletionKind::ClearAll, &req);
let task = KindWithContent::DocumentClear { index_uid: index_uid.to_string() };
let uid = get_task_id(&req, &opt)?;

View File

@@ -1,5 +1,3 @@
use std::collections::{BinaryHeap, HashSet};
use actix_web::web::Data;
use actix_web::{web, HttpRequest, HttpResponse};
use deserr::actix_web::AwebJson;
@@ -8,19 +6,17 @@ use meilisearch_types::deserr::DeserrJsonError;
use meilisearch_types::error::deserr_codes::*;
use meilisearch_types::error::ResponseError;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::locales::Locale;
use serde_json::Value;
use tracing::debug;
use crate::analytics::{Aggregate, Analytics};
use crate::analytics::{Analytics, FacetSearchAggregator};
use crate::extractors::authentication::policies::*;
use crate::extractors::authentication::GuardedData;
use crate::routes::indexes::search::search_kind;
use crate::search::{
add_search_rules, perform_facet_search, FacetSearchResult, HybridQuery, MatchingStrategy,
RankingScoreThreshold, SearchQuery, DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER,
DEFAULT_HIGHLIGHT_POST_TAG, DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT,
DEFAULT_SEARCH_OFFSET,
add_search_rules, perform_facet_search, HybridQuery, MatchingStrategy, RankingScoreThreshold,
SearchQuery, DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER, DEFAULT_HIGHLIGHT_POST_TAG,
DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET,
};
use crate::search_queue::SearchQueue;
@@ -52,110 +48,6 @@ pub struct FacetSearchQuery {
pub attributes_to_search_on: Option<Vec<String>>,
#[deserr(default, error = DeserrJsonError<InvalidSearchRankingScoreThreshold>, default)]
pub ranking_score_threshold: Option<RankingScoreThreshold>,
#[deserr(default, error = DeserrJsonError<InvalidSearchLocales>, default)]
pub locales: Option<Vec<Locale>>,
}
#[derive(Default)]
pub struct FacetSearchAggregator {
// requests
total_received: usize,
total_succeeded: usize,
time_spent: BinaryHeap<usize>,
// The set of all facetNames that were used
facet_names: HashSet<String>,
// As there been any other parameter than the facetName or facetQuery ones?
additional_search_parameters_provided: bool,
}
impl FacetSearchAggregator {
#[allow(clippy::field_reassign_with_default)]
pub fn from_query(query: &FacetSearchQuery) -> Self {
let FacetSearchQuery {
facet_query: _,
facet_name,
vector,
q,
filter,
matching_strategy,
attributes_to_search_on,
hybrid,
ranking_score_threshold,
locales,
} = query;
Self {
total_received: 1,
facet_names: Some(facet_name.clone()).into_iter().collect(),
additional_search_parameters_provided: q.is_some()
|| vector.is_some()
|| filter.is_some()
|| *matching_strategy != MatchingStrategy::default()
|| attributes_to_search_on.is_some()
|| hybrid.is_some()
|| ranking_score_threshold.is_some()
|| locales.is_some(),
..Default::default()
}
}
pub fn succeed(&mut self, result: &FacetSearchResult) {
let FacetSearchResult { facet_hits: _, facet_query: _, processing_time_ms } = result;
self.total_succeeded = 1;
self.time_spent.push(*processing_time_ms as usize);
}
}
impl Aggregate for FacetSearchAggregator {
fn event_name(&self) -> &'static str {
"Facet Searched POST"
}
fn aggregate(mut self: Box<Self>, new: Box<Self>) -> Box<Self> {
for time in new.time_spent {
self.time_spent.push(time);
}
Box::new(Self {
total_received: self.total_received.saturating_add(new.total_received),
total_succeeded: self.total_succeeded.saturating_add(new.total_succeeded),
time_spent: self.time_spent,
facet_names: self.facet_names.union(&new.facet_names).cloned().collect(),
additional_search_parameters_provided: self.additional_search_parameters_provided
| new.additional_search_parameters_provided,
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
let Self {
total_received,
total_succeeded,
time_spent,
facet_names,
additional_search_parameters_provided,
} = *self;
// the index of the 99th percentage of value
let percentile_99th = 0.99 * (total_succeeded as f64 - 1.) + 1.;
// we get all the values in a sorted manner
let time_spent = time_spent.into_sorted_vec();
// We are only interested by the slowest value of the 99th fastest results
let time_spent = time_spent.get(percentile_99th as usize);
serde_json::json!({
"requests": {
"99th_response_time": time_spent.map(|t| format!("{:.2}", t)),
"total_succeeded": total_succeeded,
"total_failed": total_received.saturating_sub(total_succeeded), // just to be sure we never panics
"total_received": total_received,
},
"facets": {
"total_distinct_facet_count": facet_names.len(),
"additional_search_parameters_provided": additional_search_parameters_provided,
},
})
}
}
pub async fn search(
@@ -164,18 +56,17 @@ pub async fn search(
index_uid: web::Path<String>,
params: AwebJson<FacetSearchQuery, DeserrJsonError>,
req: HttpRequest,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let query = params.into_inner();
debug!(parameters = ?query, "Facet search");
let mut aggregate = FacetSearchAggregator::from_query(&query);
let mut aggregate = FacetSearchAggregator::from_query(&query, &req);
let facet_query = query.facet_query.clone();
let facet_name = query.facet_name.clone();
let locales = query.locales.clone().map(|l| l.into_iter().map(Into::into).collect());
let mut search_query = SearchQuery::from(query);
// Tenant token search_rules.
@@ -186,7 +77,7 @@ pub async fn search(
let index = index_scheduler.index(&index_uid)?;
let features = index_scheduler.features();
let search_kind = search_kind(&search_query, &index_scheduler, &index, features)?;
let permit = search_queue.try_get_search_permit().await?;
let _permit = search_queue.try_get_search_permit().await?;
let search_result = tokio::task::spawn_blocking(move || {
perform_facet_search(
&index,
@@ -195,17 +86,14 @@ pub async fn search(
facet_name,
search_kind,
index_scheduler.features(),
locales,
)
})
.await;
permit.drop().await;
let search_result = search_result?;
.await?;
if let Ok(ref search_result) = search_result {
aggregate.succeed(search_result);
}
analytics.publish(aggregate, &req);
analytics.post_facet_search(aggregate);
let search_result = search_result?;
@@ -225,7 +113,6 @@ impl From<FacetSearchQuery> for SearchQuery {
attributes_to_search_on,
hybrid,
ranking_score_threshold,
locales,
} = value;
SearchQuery {
@@ -254,7 +141,6 @@ impl From<FacetSearchQuery> for SearchQuery {
attributes_to_search_on,
hybrid,
ranking_score_threshold,
locales,
}
}
}

View File

@@ -1,4 +1,3 @@
use std::collections::BTreeSet;
use std::convert::Infallible;
use actix_web::web::Data;
@@ -14,11 +13,12 @@ use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::milli::{self, FieldDistribution, Index};
use meilisearch_types::tasks::KindWithContent;
use serde::Serialize;
use serde_json::json;
use time::OffsetDateTime;
use tracing::debug;
use super::{get_task_id, Pagination, SummarizedTaskView, PAGINATION_DEFAULT_LIMIT};
use crate::analytics::{Aggregate, Analytics};
use crate::analytics::Analytics;
use crate::extractors::authentication::policies::*;
use crate::extractors::authentication::{AuthenticationError, GuardedData};
use crate::extractors::sequential_extractor::SeqHandler;
@@ -28,11 +28,8 @@ use crate::Opt;
pub mod documents;
pub mod facet_search;
pub mod search;
mod search_analytics;
pub mod settings;
mod settings_analytics;
pub mod similar;
mod similar_analytics;
pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(
@@ -126,31 +123,12 @@ pub struct IndexCreateRequest {
primary_key: Option<String>,
}
#[derive(Serialize)]
struct IndexCreatedAggregate {
primary_key: BTreeSet<String>,
}
impl Aggregate for IndexCreatedAggregate {
fn event_name(&self) -> &'static str {
"Index Created"
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self { primary_key: self.primary_key.union(&new.primary_key).cloned().collect() })
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(*self).unwrap_or_default()
}
}
pub async fn create_index(
index_scheduler: GuardedData<ActionPolicy<{ actions::INDEXES_CREATE }>, Data<IndexScheduler>>,
body: AwebJson<IndexCreateRequest, DeserrJsonError>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?body, "Create index");
let IndexCreateRequest { primary_key, uid } = body.into_inner();
@@ -158,8 +136,9 @@ pub async fn create_index(
let allow_index_creation = index_scheduler.filters().allow_index_creation(&uid);
if allow_index_creation {
analytics.publish(
IndexCreatedAggregate { primary_key: primary_key.iter().cloned().collect() },
&req,
"Index Created".to_string(),
json!({ "primary_key": primary_key }),
Some(&req),
);
let task = KindWithContent::IndexCreation { index_uid: uid.to_string(), primary_key };
@@ -215,38 +194,21 @@ pub async fn get_index(
Ok(HttpResponse::Ok().json(index_view))
}
#[derive(Serialize)]
struct IndexUpdatedAggregate {
primary_key: BTreeSet<String>,
}
impl Aggregate for IndexUpdatedAggregate {
fn event_name(&self) -> &'static str {
"Index Updated"
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self { primary_key: self.primary_key.union(&new.primary_key).cloned().collect() })
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(*self).unwrap_or_default()
}
}
pub async fn update_index(
index_scheduler: GuardedData<ActionPolicy<{ actions::INDEXES_UPDATE }>, Data<IndexScheduler>>,
index_uid: web::Path<String>,
body: AwebJson<UpdateIndexRequest, DeserrJsonError>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?body, "Update index");
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let body = body.into_inner();
analytics.publish(
IndexUpdatedAggregate { primary_key: body.primary_key.iter().cloned().collect() },
&req,
"Index Updated".to_string(),
json!({ "primary_key": body.primary_key }),
Some(&req),
);
let task = KindWithContent::IndexUpdate {

View File

@@ -7,19 +7,17 @@ use meilisearch_types::deserr::{DeserrJsonError, DeserrQueryParamError};
use meilisearch_types::error::deserr_codes::*;
use meilisearch_types::error::ResponseError;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::locales::Locale;
use meilisearch_types::milli;
use meilisearch_types::serde_cs::vec::CS;
use serde_json::Value;
use tracing::debug;
use crate::analytics::Analytics;
use crate::analytics::{Analytics, SearchAggregator};
use crate::error::MeilisearchHttpError;
use crate::extractors::authentication::policies::*;
use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
use crate::metrics::MEILISEARCH_DEGRADED_SEARCH_REQUESTS;
use crate::routes::indexes::search_analytics::{SearchAggregator, SearchGET, SearchPOST};
use crate::search::{
add_search_rules, perform_search, HybridQuery, MatchingStrategy, RankingScoreThreshold,
RetrieveVectors, SearchKind, SearchQuery, SemanticRatio, DEFAULT_CROP_LENGTH,
@@ -91,8 +89,6 @@ pub struct SearchQueryGet {
pub hybrid_semantic_ratio: Option<SemanticRatioGet>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchRankingScoreThreshold>)]
pub ranking_score_threshold: Option<RankingScoreThresholdGet>,
#[deserr(default, error = DeserrQueryParamError<InvalidSearchLocales>)]
pub locales: Option<CS<Locale>>,
}
#[derive(Debug, Clone, Copy, PartialEq, deserr::Deserr)]
@@ -129,10 +125,8 @@ impl std::ops::Deref for SemanticRatioGet {
}
}
impl TryFrom<SearchQueryGet> for SearchQuery {
type Error = ResponseError;
fn try_from(other: SearchQueryGet) -> Result<Self, Self::Error> {
impl From<SearchQueryGet> for SearchQuery {
fn from(other: SearchQueryGet) -> Self {
let filter = match other.filter {
Some(f) => match serde_json::from_str(&f) {
Ok(v) => Some(v),
@@ -143,28 +137,19 @@ impl TryFrom<SearchQueryGet> for SearchQuery {
let hybrid = match (other.hybrid_embedder, other.hybrid_semantic_ratio) {
(None, None) => None,
(None, Some(_)) => {
return Err(ResponseError::from_msg(
"`hybridEmbedder` is mandatory when `hybridSemanticRatio` is present".into(),
meilisearch_types::error::Code::InvalidHybridQuery,
));
}
(Some(embedder), None) => {
Some(HybridQuery { semantic_ratio: DEFAULT_SEMANTIC_RATIO(), embedder })
(None, Some(semantic_ratio)) => {
Some(HybridQuery { semantic_ratio: *semantic_ratio, embedder: None })
}
(Some(embedder), None) => Some(HybridQuery {
semantic_ratio: DEFAULT_SEMANTIC_RATIO(),
embedder: Some(embedder),
}),
(Some(embedder), Some(semantic_ratio)) => {
Some(HybridQuery { semantic_ratio: *semantic_ratio, embedder })
Some(HybridQuery { semantic_ratio: *semantic_ratio, embedder: Some(embedder) })
}
};
if other.vector.is_some() && hybrid.is_none() {
return Err(ResponseError::from_msg(
"`hybridEmbedder` is mandatory when `vector` is present".into(),
meilisearch_types::error::Code::MissingSearchHybrid,
));
}
Ok(Self {
Self {
q: other.q,
vector: other.vector.map(CS::into_inner),
offset: other.offset.0,
@@ -190,8 +175,7 @@ impl TryFrom<SearchQueryGet> for SearchQuery {
attributes_to_search_on: other.attributes_to_search_on.map(|o| o.into_iter().collect()),
hybrid,
ranking_score_threshold: other.ranking_score_threshold.map(|o| o.0),
locales: other.locales.map(|o| o.into_iter().collect()),
})
}
}
}
@@ -226,36 +210,34 @@ pub async fn search_with_url_query(
index_uid: web::Path<String>,
params: AwebQueryParameter<SearchQueryGet, DeserrQueryParamError>,
req: HttpRequest,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?params, "Search get");
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let mut query: SearchQuery = params.into_inner().try_into()?;
let mut query: SearchQuery = params.into_inner().into();
// Tenant token search_rules.
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid) {
add_search_rules(&mut query.filter, search_rules);
}
let mut aggregate = SearchAggregator::<SearchGET>::from_query(&query);
let mut aggregate = SearchAggregator::from_query(&query, &req);
let index = index_scheduler.index(&index_uid)?;
let features = index_scheduler.features();
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index, features)?;
let retrieve_vector = RetrieveVectors::new(query.retrieve_vectors, features)?;
let permit = search_queue.try_get_search_permit().await?;
let _permit = search_queue.try_get_search_permit().await?;
let search_result = tokio::task::spawn_blocking(move || {
perform_search(&index, query, search_kind, retrieve_vector, index_scheduler.features())
})
.await;
permit.drop().await;
let search_result = search_result?;
.await?;
if let Ok(ref search_result) = search_result {
aggregate.succeed(search_result);
}
analytics.publish(aggregate, &req);
analytics.get_search(aggregate);
let search_result = search_result?;
@@ -269,7 +251,7 @@ pub async fn search_with_post(
index_uid: web::Path<String>,
params: AwebJson<SearchQuery, DeserrJsonError>,
req: HttpRequest,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
@@ -281,7 +263,7 @@ pub async fn search_with_post(
add_search_rules(&mut query.filter, search_rules);
}
let mut aggregate = SearchAggregator::<SearchPOST>::from_query(&query);
let mut aggregate = SearchAggregator::from_query(&query, &req);
let index = index_scheduler.index(&index_uid)?;
@@ -290,20 +272,18 @@ pub async fn search_with_post(
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index, features)?;
let retrieve_vectors = RetrieveVectors::new(query.retrieve_vectors, features)?;
let permit = search_queue.try_get_search_permit().await?;
let _permit = search_queue.try_get_search_permit().await?;
let search_result = tokio::task::spawn_blocking(move || {
perform_search(&index, query, search_kind, retrieve_vectors, index_scheduler.features())
})
.await;
permit.drop().await;
let search_result = search_result?;
.await?;
if let Ok(ref search_result) = search_result {
aggregate.succeed(search_result);
if search_result.degraded {
MEILISEARCH_DEGRADED_SEARCH_REQUESTS.inc();
}
}
analytics.publish(aggregate, &req);
analytics.post_search(aggregate);
let search_result = search_result?;
@@ -324,36 +304,44 @@ pub fn search_kind(
features.check_vector("Passing `hybrid` as a parameter")?;
}
// handle with care, the order of cases matters, the semantics is subtle
match (query.q.as_deref(), &query.hybrid, query.vector.as_deref()) {
// empty query, no vector => placeholder search
(Some(q), _, None) if q.trim().is_empty() => Ok(SearchKind::KeywordOnly),
// no query, no vector => placeholder search
(None, _, None) => Ok(SearchKind::KeywordOnly),
// hybrid.semantic_ratio == 1.0 => vector
(_, Some(HybridQuery { semantic_ratio, embedder }), v) if **semantic_ratio == 1.0 => {
SearchKind::semantic(index_scheduler, index, embedder, v.map(|v| v.len()))
// regardless of anything, always do a keyword search when we don't have a vector and the query is whitespace or missing
if query.vector.is_none() {
match &query.q {
Some(q) if q.trim().is_empty() => return Ok(SearchKind::KeywordOnly),
None => return Ok(SearchKind::KeywordOnly),
_ => {}
}
// hybrid.semantic_ratio == 0.0 => keyword
(_, Some(HybridQuery { semantic_ratio, embedder: _ }), _) if **semantic_ratio == 0.0 => {
}
match &query.hybrid {
Some(HybridQuery { semantic_ratio, embedder }) if **semantic_ratio == 1.0 => {
Ok(SearchKind::semantic(
index_scheduler,
index,
embedder.as_deref(),
query.vector.as_ref().map(Vec::len),
)?)
}
Some(HybridQuery { semantic_ratio, embedder: _ }) if **semantic_ratio == 0.0 => {
Ok(SearchKind::KeywordOnly)
}
// no query, hybrid, vector => semantic
(None, Some(HybridQuery { semantic_ratio: _, embedder }), Some(v)) => {
SearchKind::semantic(index_scheduler, index, embedder, Some(v.len()))
}
// query, no hybrid, no vector => keyword
(Some(_), None, None) => Ok(SearchKind::KeywordOnly),
// query, hybrid, maybe vector => hybrid
(Some(_), Some(HybridQuery { semantic_ratio, embedder }), v) => SearchKind::hybrid(
Some(HybridQuery { semantic_ratio, embedder }) => Ok(SearchKind::hybrid(
index_scheduler,
index,
embedder,
embedder.as_deref(),
**semantic_ratio,
v.map(|v| v.len()),
),
(_, None, Some(_)) => Err(MeilisearchHttpError::MissingSearchHybrid.into()),
query.vector.as_ref().map(Vec::len),
)?),
None => match (query.q.as_deref(), query.vector.as_deref()) {
(_query, None) => Ok(SearchKind::KeywordOnly),
(None, Some(_vector)) => Ok(SearchKind::semantic(
index_scheduler,
index,
None,
query.vector.as_ref().map(Vec::len),
)?),
(Some(_), Some(_)) => Err(MeilisearchHttpError::MissingSearchHybrid.into()),
},
}
}

View File

@@ -1,485 +0,0 @@
use once_cell::sync::Lazy;
use regex::Regex;
use serde_json::{json, Value};
use std::collections::{BTreeSet, BinaryHeap, HashMap};
use meilisearch_types::locales::Locale;
use crate::{
aggregate_methods,
analytics::{Aggregate, AggregateMethod},
search::{
SearchQuery, SearchResult, DEFAULT_CROP_LENGTH, DEFAULT_CROP_MARKER,
DEFAULT_HIGHLIGHT_POST_TAG, DEFAULT_HIGHLIGHT_PRE_TAG, DEFAULT_SEARCH_LIMIT,
DEFAULT_SEMANTIC_RATIO,
},
};
aggregate_methods!(
SearchGET => "Documents Searched GET",
SearchPOST => "Documents Searched POST",
);
#[derive(Default)]
pub struct SearchAggregator<Method: AggregateMethod> {
// requests
total_received: usize,
total_succeeded: usize,
total_degraded: usize,
total_used_negative_operator: usize,
time_spent: BinaryHeap<usize>,
// sort
sort_with_geo_point: bool,
// every time a request has a filter, this field must be incremented by the number of terms it contains
sort_sum_of_criteria_terms: usize,
// every time a request has a filter, this field must be incremented by one
sort_total_number_of_criteria: usize,
// distinct
distinct: bool,
// filter
filter_with_geo_radius: bool,
filter_with_geo_bounding_box: bool,
// every time a request has a filter, this field must be incremented by the number of terms it contains
filter_sum_of_criteria_terms: usize,
// every time a request has a filter, this field must be incremented by one
filter_total_number_of_criteria: usize,
used_syntax: HashMap<String, usize>,
// attributes_to_search_on
// every time a search is done using attributes_to_search_on
attributes_to_search_on_total_number_of_uses: usize,
// q
// The maximum number of terms in a q request
max_terms_number: usize,
// vector
// The maximum number of floats in a vector request
max_vector_size: usize,
// Whether the semantic ratio passed to a hybrid search equals the default ratio.
semantic_ratio: bool,
hybrid: bool,
retrieve_vectors: bool,
// every time a search is done, we increment the counter linked to the used settings
matching_strategy: HashMap<String, usize>,
// List of the unique Locales passed as parameter
locales: BTreeSet<Locale>,
// pagination
max_limit: usize,
max_offset: usize,
finite_pagination: usize,
// formatting
max_attributes_to_retrieve: usize,
max_attributes_to_highlight: usize,
highlight_pre_tag: bool,
highlight_post_tag: bool,
max_attributes_to_crop: usize,
crop_marker: bool,
show_matches_position: bool,
crop_length: bool,
// facets
facets_sum_of_terms: usize,
facets_total_number_of_facets: usize,
// scoring
show_ranking_score: bool,
show_ranking_score_details: bool,
ranking_score_threshold: bool,
marker: std::marker::PhantomData<Method>,
}
impl<Method: AggregateMethod> SearchAggregator<Method> {
#[allow(clippy::field_reassign_with_default)]
pub fn from_query(query: &SearchQuery) -> Self {
let SearchQuery {
q,
vector,
offset,
limit,
page,
hits_per_page,
attributes_to_retrieve: _,
retrieve_vectors,
attributes_to_crop: _,
crop_length,
attributes_to_highlight: _,
show_matches_position,
show_ranking_score,
show_ranking_score_details,
filter,
sort,
distinct,
facets: _,
highlight_pre_tag,
highlight_post_tag,
crop_marker,
matching_strategy,
attributes_to_search_on,
hybrid,
ranking_score_threshold,
locales,
} = query;
let mut ret = Self::default();
ret.total_received = 1;
if let Some(ref sort) = sort {
ret.sort_total_number_of_criteria = 1;
ret.sort_with_geo_point = sort.iter().any(|s| s.contains("_geoPoint("));
ret.sort_sum_of_criteria_terms = sort.len();
}
ret.distinct = distinct.is_some();
if let Some(ref filter) = filter {
static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap());
ret.filter_total_number_of_criteria = 1;
let syntax = match filter {
Value::String(_) => "string".to_string(),
Value::Array(values) => {
if values.iter().map(|v| v.to_string()).any(|s| RE.is_match(&s)) {
"mixed".to_string()
} else {
"array".to_string()
}
}
_ => "none".to_string(),
};
// convert the string to a HashMap
ret.used_syntax.insert(syntax, 1);
let stringified_filters = filter.to_string();
ret.filter_with_geo_radius = stringified_filters.contains("_geoRadius(");
ret.filter_with_geo_bounding_box = stringified_filters.contains("_geoBoundingBox(");
ret.filter_sum_of_criteria_terms = RE.split(&stringified_filters).count();
}
// attributes_to_search_on
if attributes_to_search_on.is_some() {
ret.attributes_to_search_on_total_number_of_uses = 1;
}
if let Some(ref q) = q {
ret.max_terms_number = q.split_whitespace().count();
}
if let Some(ref vector) = vector {
ret.max_vector_size = vector.len();
}
ret.retrieve_vectors |= retrieve_vectors;
if query.is_finite_pagination() {
let limit = hits_per_page.unwrap_or_else(DEFAULT_SEARCH_LIMIT);
ret.max_limit = limit;
ret.max_offset = page.unwrap_or(1).saturating_sub(1) * limit;
ret.finite_pagination = 1;
} else {
ret.max_limit = *limit;
ret.max_offset = *offset;
ret.finite_pagination = 0;
}
ret.matching_strategy.insert(format!("{:?}", matching_strategy), 1);
if let Some(locales) = locales {
ret.locales = locales.iter().copied().collect();
}
ret.highlight_pre_tag = *highlight_pre_tag != DEFAULT_HIGHLIGHT_PRE_TAG();
ret.highlight_post_tag = *highlight_post_tag != DEFAULT_HIGHLIGHT_POST_TAG();
ret.crop_marker = *crop_marker != DEFAULT_CROP_MARKER();
ret.crop_length = *crop_length != DEFAULT_CROP_LENGTH();
ret.show_matches_position = *show_matches_position;
ret.show_ranking_score = *show_ranking_score;
ret.show_ranking_score_details = *show_ranking_score_details;
ret.ranking_score_threshold = ranking_score_threshold.is_some();
if let Some(hybrid) = hybrid {
ret.semantic_ratio = hybrid.semantic_ratio != DEFAULT_SEMANTIC_RATIO();
ret.hybrid = true;
}
ret
}
pub fn succeed(&mut self, result: &SearchResult) {
let SearchResult {
hits: _,
query: _,
processing_time_ms,
hits_info: _,
semantic_hit_count: _,
facet_distribution: _,
facet_stats: _,
degraded,
used_negative_operator,
} = result;
self.total_succeeded = self.total_succeeded.saturating_add(1);
if *degraded {
self.total_degraded = self.total_degraded.saturating_add(1);
}
if *used_negative_operator {
self.total_used_negative_operator = self.total_used_negative_operator.saturating_add(1);
}
self.time_spent.push(*processing_time_ms as usize);
}
}
impl<Method: AggregateMethod> Aggregate for SearchAggregator<Method> {
fn event_name(&self) -> &'static str {
Method::event_name()
}
fn aggregate(mut self: Box<Self>, new: Box<Self>) -> Box<Self> {
let Self {
total_received,
total_succeeded,
mut time_spent,
sort_with_geo_point,
sort_sum_of_criteria_terms,
sort_total_number_of_criteria,
distinct,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
filter_total_number_of_criteria,
used_syntax,
attributes_to_search_on_total_number_of_uses,
max_terms_number,
max_vector_size,
retrieve_vectors,
matching_strategy,
max_limit,
max_offset,
finite_pagination,
max_attributes_to_retrieve,
max_attributes_to_highlight,
highlight_pre_tag,
highlight_post_tag,
max_attributes_to_crop,
crop_marker,
show_matches_position,
crop_length,
facets_sum_of_terms,
facets_total_number_of_facets,
show_ranking_score,
show_ranking_score_details,
semantic_ratio,
hybrid,
total_degraded,
total_used_negative_operator,
ranking_score_threshold,
mut locales,
marker: _,
} = *new;
// request
self.total_received = self.total_received.saturating_add(total_received);
self.total_succeeded = self.total_succeeded.saturating_add(total_succeeded);
self.total_degraded = self.total_degraded.saturating_add(total_degraded);
self.total_used_negative_operator =
self.total_used_negative_operator.saturating_add(total_used_negative_operator);
self.time_spent.append(&mut time_spent);
// sort
self.sort_with_geo_point |= sort_with_geo_point;
self.sort_sum_of_criteria_terms =
self.sort_sum_of_criteria_terms.saturating_add(sort_sum_of_criteria_terms);
self.sort_total_number_of_criteria =
self.sort_total_number_of_criteria.saturating_add(sort_total_number_of_criteria);
// distinct
self.distinct |= distinct;
// filter
self.filter_with_geo_radius |= filter_with_geo_radius;
self.filter_with_geo_bounding_box |= filter_with_geo_bounding_box;
self.filter_sum_of_criteria_terms =
self.filter_sum_of_criteria_terms.saturating_add(filter_sum_of_criteria_terms);
self.filter_total_number_of_criteria =
self.filter_total_number_of_criteria.saturating_add(filter_total_number_of_criteria);
for (key, value) in used_syntax.into_iter() {
let used_syntax = self.used_syntax.entry(key).or_insert(0);
*used_syntax = used_syntax.saturating_add(value);
}
// attributes_to_search_on
self.attributes_to_search_on_total_number_of_uses = self
.attributes_to_search_on_total_number_of_uses
.saturating_add(attributes_to_search_on_total_number_of_uses);
// q
self.max_terms_number = self.max_terms_number.max(max_terms_number);
// vector
self.max_vector_size = self.max_vector_size.max(max_vector_size);
self.retrieve_vectors |= retrieve_vectors;
self.semantic_ratio |= semantic_ratio;
self.hybrid |= hybrid;
// pagination
self.max_limit = self.max_limit.max(max_limit);
self.max_offset = self.max_offset.max(max_offset);
self.finite_pagination += finite_pagination;
// formatting
self.max_attributes_to_retrieve =
self.max_attributes_to_retrieve.max(max_attributes_to_retrieve);
self.max_attributes_to_highlight =
self.max_attributes_to_highlight.max(max_attributes_to_highlight);
self.highlight_pre_tag |= highlight_pre_tag;
self.highlight_post_tag |= highlight_post_tag;
self.max_attributes_to_crop = self.max_attributes_to_crop.max(max_attributes_to_crop);
self.crop_marker |= crop_marker;
self.show_matches_position |= show_matches_position;
self.crop_length |= crop_length;
// facets
self.facets_sum_of_terms = self.facets_sum_of_terms.saturating_add(facets_sum_of_terms);
self.facets_total_number_of_facets =
self.facets_total_number_of_facets.saturating_add(facets_total_number_of_facets);
// matching strategy
for (key, value) in matching_strategy.into_iter() {
let matching_strategy = self.matching_strategy.entry(key).or_insert(0);
*matching_strategy = matching_strategy.saturating_add(value);
}
// scoring
self.show_ranking_score |= show_ranking_score;
self.show_ranking_score_details |= show_ranking_score_details;
self.ranking_score_threshold |= ranking_score_threshold;
// locales
self.locales.append(&mut locales);
self
}
fn into_event(self: Box<Self>) -> serde_json::Value {
let Self {
total_received,
total_succeeded,
time_spent,
sort_with_geo_point,
sort_sum_of_criteria_terms,
sort_total_number_of_criteria,
distinct,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
filter_total_number_of_criteria,
used_syntax,
attributes_to_search_on_total_number_of_uses,
max_terms_number,
max_vector_size,
retrieve_vectors,
matching_strategy,
max_limit,
max_offset,
finite_pagination,
max_attributes_to_retrieve,
max_attributes_to_highlight,
highlight_pre_tag,
highlight_post_tag,
max_attributes_to_crop,
crop_marker,
show_matches_position,
crop_length,
facets_sum_of_terms,
facets_total_number_of_facets,
show_ranking_score,
show_ranking_score_details,
semantic_ratio,
hybrid,
total_degraded,
total_used_negative_operator,
ranking_score_threshold,
locales,
marker: _,
} = *self;
// we get all the values in a sorted manner
let time_spent = time_spent.into_sorted_vec();
// the index of the 99th percentage of value
let percentile_99th = time_spent.len() * 99 / 100;
// We are only interested by the slowest value of the 99th fastest results
let time_spent = time_spent.get(percentile_99th);
json!({
"requests": {
"99th_response_time": time_spent.map(|t| format!("{:.2}", t)),
"total_succeeded": total_succeeded,
"total_failed": total_received.saturating_sub(total_succeeded), // just to be sure we never panics
"total_received": total_received,
"total_degraded": total_degraded,
"total_used_negative_operator": total_used_negative_operator,
},
"sort": {
"with_geoPoint": sort_with_geo_point,
"avg_criteria_number": format!("{:.2}", sort_sum_of_criteria_terms as f64 / sort_total_number_of_criteria as f64),
},
"distinct": distinct,
"filter": {
"with_geoRadius": filter_with_geo_radius,
"with_geoBoundingBox": filter_with_geo_bounding_box,
"avg_criteria_number": format!("{:.2}", filter_sum_of_criteria_terms as f64 / filter_total_number_of_criteria as f64),
"most_used_syntax": used_syntax.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
},
"attributes_to_search_on": {
"total_number_of_uses": attributes_to_search_on_total_number_of_uses,
},
"q": {
"max_terms_number": max_terms_number,
},
"vector": {
"max_vector_size": max_vector_size,
"retrieve_vectors": retrieve_vectors,
},
"hybrid": {
"enabled": hybrid,
"semantic_ratio": semantic_ratio,
},
"pagination": {
"max_limit": max_limit,
"max_offset": max_offset,
"most_used_navigation": if finite_pagination > (total_received / 2) { "exhaustive" } else { "estimated" },
},
"formatting": {
"max_attributes_to_retrieve": max_attributes_to_retrieve,
"max_attributes_to_highlight": max_attributes_to_highlight,
"highlight_pre_tag": highlight_pre_tag,
"highlight_post_tag": highlight_post_tag,
"max_attributes_to_crop": max_attributes_to_crop,
"crop_marker": crop_marker,
"show_matches_position": show_matches_position,
"crop_length": crop_length,
},
"facets": {
"avg_facets_number": format!("{:.2}", facets_sum_of_terms as f64 / facets_total_number_of_facets as f64),
},
"matching_strategy": {
"most_used_strategy": matching_strategy.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
},
"locales": locales,
"scoring": {
"show_ranking_score": show_ranking_score,
"show_ranking_score_details": show_ranking_score_details,
"ranking_score_threshold": ranking_score_threshold,
},
})
}
}

View File

@@ -1,14 +1,15 @@
use super::settings_analytics::*;
use actix_web::web::Data;
use actix_web::{web, HttpRequest, HttpResponse};
use deserr::actix_web::AwebJson;
use index_scheduler::IndexScheduler;
use meilisearch_types::deserr::DeserrJsonError;
use meilisearch_types::error::ResponseError;
use meilisearch_types::facet_values_sort::FacetValuesSort;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::milli::update::Setting;
use meilisearch_types::settings::{settings, SecretPolicy, Settings, Unchecked};
use meilisearch_types::settings::{settings, RankingRuleView, SecretPolicy, Settings, Unchecked};
use meilisearch_types::tasks::KindWithContent;
use serde_json::json;
use tracing::debug;
use crate::analytics::Analytics;
@@ -19,7 +20,7 @@ use crate::Opt;
#[macro_export]
macro_rules! make_setting_route {
($route:literal, $update_verb:ident, $type:ty, $err_ty:ty, $attr:ident, $camelcase_attr:literal, $analytics:ident) => {
($route:literal, $update_verb:ident, $type:ty, $err_ty:ty, $attr:ident, $camelcase_attr:literal, $analytics_var:ident, $analytics:expr) => {
pub mod $attr {
use actix_web::web::Data;
use actix_web::{web, HttpRequest, HttpResponse, Resource};
@@ -79,7 +80,7 @@ macro_rules! make_setting_route {
body: deserr::actix_web::AwebJson<Option<$type>, $err_ty>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
$analytics_var: web::Data<dyn Analytics>,
) -> std::result::Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
@@ -87,10 +88,7 @@ macro_rules! make_setting_route {
debug!(parameters = ?body, "Update settings");
#[allow(clippy::redundant_closure_call)]
analytics.publish(
$crate::routes::indexes::settings_analytics::$analytics::new(body.as_ref()).into_settings(),
&req,
);
$analytics(&body, &req);
let new_settings = Settings {
$attr: match body {
@@ -162,7 +160,21 @@ make_setting_route!(
>,
filterable_attributes,
"filterableAttributes",
FilterableAttributesAnalytics
analytics,
|setting: &Option<std::collections::BTreeSet<String>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"FilterableAttributes Updated".to_string(),
json!({
"filterable_attributes": {
"total": setting.as_ref().map(|filter| filter.len()).unwrap_or(0),
"has_geo": setting.as_ref().map(|filter| filter.contains("_geo")).unwrap_or(false),
}
}),
Some(req),
);
}
);
make_setting_route!(
@@ -174,7 +186,21 @@ make_setting_route!(
>,
sortable_attributes,
"sortableAttributes",
SortableAttributesAnalytics
analytics,
|setting: &Option<std::collections::BTreeSet<String>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"SortableAttributes Updated".to_string(),
json!({
"sortable_attributes": {
"total": setting.as_ref().map(|sort| sort.len()),
"has_geo": setting.as_ref().map(|sort| sort.contains("_geo")),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -186,7 +212,21 @@ make_setting_route!(
>,
displayed_attributes,
"displayedAttributes",
DisplayedAttributesAnalytics
analytics,
|displayed: &Option<Vec<String>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"DisplayedAttributes Updated".to_string(),
json!({
"displayed_attributes": {
"total": displayed.as_ref().map(|displayed| displayed.len()),
"with_wildcard": displayed.as_ref().map(|displayed| displayed.iter().any(|displayed| displayed == "*")),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -198,7 +238,40 @@ make_setting_route!(
>,
typo_tolerance,
"typoTolerance",
TypoToleranceAnalytics
analytics,
|setting: &Option<meilisearch_types::settings::TypoSettings>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"TypoTolerance Updated".to_string(),
json!({
"typo_tolerance": {
"enabled": setting.as_ref().map(|s| !matches!(s.enabled, Setting::Set(false))),
"disable_on_attributes": setting
.as_ref()
.and_then(|s| s.disable_on_attributes.as_ref().set().map(|m| !m.is_empty())),
"disable_on_words": setting
.as_ref()
.and_then(|s| s.disable_on_words.as_ref().set().map(|m| !m.is_empty())),
"min_word_size_for_one_typo": setting
.as_ref()
.and_then(|s| s.min_word_size_for_typos
.as_ref()
.set()
.map(|s| s.one_typo.set()))
.flatten(),
"min_word_size_for_two_typos": setting
.as_ref()
.and_then(|s| s.min_word_size_for_typos
.as_ref()
.set()
.map(|s| s.two_typos.set()))
.flatten(),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -210,7 +283,21 @@ make_setting_route!(
>,
searchable_attributes,
"searchableAttributes",
SearchableAttributesAnalytics
analytics,
|setting: &Option<Vec<String>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"SearchableAttributes Updated".to_string(),
json!({
"searchable_attributes": {
"total": setting.as_ref().map(|searchable| searchable.len()),
"with_wildcard": setting.as_ref().map(|searchable| searchable.iter().any(|searchable| searchable == "*")),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -222,7 +309,20 @@ make_setting_route!(
>,
stop_words,
"stopWords",
StopWordsAnalytics
analytics,
|stop_words: &Option<std::collections::BTreeSet<String>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"StopWords Updated".to_string(),
json!({
"stop_words": {
"total": stop_words.as_ref().map(|stop_words| stop_words.len()),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -234,7 +334,20 @@ make_setting_route!(
>,
non_separator_tokens,
"nonSeparatorTokens",
NonSeparatorTokensAnalytics
analytics,
|non_separator_tokens: &Option<std::collections::BTreeSet<String>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"nonSeparatorTokens Updated".to_string(),
json!({
"non_separator_tokens": {
"total": non_separator_tokens.as_ref().map(|non_separator_tokens| non_separator_tokens.len()),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -246,7 +359,20 @@ make_setting_route!(
>,
separator_tokens,
"separatorTokens",
SeparatorTokensAnalytics
analytics,
|separator_tokens: &Option<std::collections::BTreeSet<String>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"separatorTokens Updated".to_string(),
json!({
"separator_tokens": {
"total": separator_tokens.as_ref().map(|separator_tokens| separator_tokens.len()),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -258,7 +384,20 @@ make_setting_route!(
>,
dictionary,
"dictionary",
DictionaryAnalytics
analytics,
|dictionary: &Option<std::collections::BTreeSet<String>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"dictionary Updated".to_string(),
json!({
"dictionary": {
"total": dictionary.as_ref().map(|dictionary| dictionary.len()),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -270,7 +409,20 @@ make_setting_route!(
>,
synonyms,
"synonyms",
SynonymsAnalytics
analytics,
|synonyms: &Option<std::collections::BTreeMap<String, Vec<String>>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"Synonyms Updated".to_string(),
json!({
"synonyms": {
"total": synonyms.as_ref().map(|synonyms| synonyms.len()),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -282,7 +434,19 @@ make_setting_route!(
>,
distinct_attribute,
"distinctAttribute",
DistinctAttributeAnalytics
analytics,
|distinct: &Option<String>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"DistinctAttribute Updated".to_string(),
json!({
"distinct_attribute": {
"set": distinct.is_some(),
}
}),
Some(req),
);
}
);
make_setting_route!(
@@ -294,19 +458,20 @@ make_setting_route!(
>,
proximity_precision,
"proximityPrecision",
ProximityPrecisionAnalytics
);
make_setting_route!(
"/localized-attributes",
put,
Vec<meilisearch_types::locales::LocalizedAttributesRuleView>,
meilisearch_types::deserr::DeserrJsonError<
meilisearch_types::error::deserr_codes::InvalidSettingsLocalizedAttributes,
>,
localized_attributes,
"localizedAttributes",
LocalesAnalytics
analytics,
|precision: &Option<meilisearch_types::settings::ProximityPrecisionView>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"ProximityPrecision Updated".to_string(),
json!({
"proximity_precision": {
"set": precision.is_some(),
"value": precision.unwrap_or_default(),
}
}),
Some(req),
);
}
);
make_setting_route!(
@@ -318,7 +483,26 @@ make_setting_route!(
>,
ranking_rules,
"rankingRules",
RankingRulesAnalytics
analytics,
|setting: &Option<Vec<meilisearch_types::settings::RankingRuleView>>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"RankingRules Updated".to_string(),
json!({
"ranking_rules": {
"words_position": setting.as_ref().map(|rr| rr.iter().position(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Words))),
"typo_position": setting.as_ref().map(|rr| rr.iter().position(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Typo))),
"proximity_position": setting.as_ref().map(|rr| rr.iter().position(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Proximity))),
"attribute_position": setting.as_ref().map(|rr| rr.iter().position(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Attribute))),
"sort_position": setting.as_ref().map(|rr| rr.iter().position(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Sort))),
"exactness_position": setting.as_ref().map(|rr| rr.iter().position(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Exactness))),
"values": setting.as_ref().map(|rr| rr.iter().filter(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Asc(_) | meilisearch_types::settings::RankingRuleView::Desc(_)) ).map(|x| x.to_string()).collect::<Vec<_>>().join(", ")),
}
}),
Some(req),
);
}
);
make_setting_route!(
@@ -330,7 +514,25 @@ make_setting_route!(
>,
faceting,
"faceting",
FacetingAnalytics
analytics,
|setting: &Option<meilisearch_types::settings::FacetingSettings>, req: &HttpRequest| {
use serde_json::json;
use meilisearch_types::facet_values_sort::FacetValuesSort;
analytics.publish(
"Faceting Updated".to_string(),
json!({
"faceting": {
"max_values_per_facet": setting.as_ref().and_then(|s| s.max_values_per_facet.set()),
"sort_facet_values_by_star_count": setting.as_ref().and_then(|s| {
s.sort_facet_values_by.as_ref().set().map(|s| s.iter().any(|(k, v)| k == "*" && v == &FacetValuesSort::Count))
}),
"sort_facet_values_by_total": setting.as_ref().and_then(|s| s.sort_facet_values_by.as_ref().set().map(|s| s.len())),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -342,7 +544,20 @@ make_setting_route!(
>,
pagination,
"pagination",
PaginationAnalytics
analytics,
|setting: &Option<meilisearch_types::settings::PaginationSettings>, req: &HttpRequest| {
use serde_json::json;
analytics.publish(
"Pagination Updated".to_string(),
json!({
"pagination": {
"max_total_hits": setting.as_ref().and_then(|s| s.max_total_hits.set()),
},
}),
Some(req),
);
}
);
make_setting_route!(
@@ -354,9 +569,60 @@ make_setting_route!(
>,
embedders,
"embedders",
EmbeddersAnalytics
analytics,
|setting: &Option<std::collections::BTreeMap<String, Setting<meilisearch_types::milli::vector::settings::EmbeddingSettings>>>, req: &HttpRequest| {
analytics.publish(
"Embedders Updated".to_string(),
serde_json::json!({"embedders": crate::routes::indexes::settings::embedder_analytics(setting.as_ref())}),
Some(req),
);
}
);
fn embedder_analytics(
setting: Option<
&std::collections::BTreeMap<
String,
Setting<meilisearch_types::milli::vector::settings::EmbeddingSettings>,
>,
>,
) -> serde_json::Value {
let mut sources = std::collections::HashSet::new();
if let Some(s) = &setting {
for source in s
.values()
.filter_map(|config| config.clone().set())
.filter_map(|config| config.source.set())
{
use meilisearch_types::milli::vector::settings::EmbedderSource;
match source {
EmbedderSource::OpenAi => sources.insert("openAi"),
EmbedderSource::HuggingFace => sources.insert("huggingFace"),
EmbedderSource::UserProvided => sources.insert("userProvided"),
EmbedderSource::Ollama => sources.insert("ollama"),
EmbedderSource::Rest => sources.insert("rest"),
};
}
};
let document_template_used = setting.as_ref().map(|map| {
map.values()
.filter_map(|config| config.clone().set())
.any(|config| config.document_template.set().is_some())
});
json!(
{
"total": setting.as_ref().map(|s| s.len()),
"sources": sources,
"document_template_used": document_template_used,
}
)
}
make_setting_route!(
"/search-cutoff-ms",
put,
@@ -366,7 +632,14 @@ make_setting_route!(
>,
search_cutoff_ms,
"searchCutoffMs",
SearchCutoffMsAnalytics
analytics,
|setting: &Option<u64>, req: &HttpRequest| {
analytics.publish(
"Search Cutoff Updated".to_string(),
serde_json::json!({"search_cutoff_ms": setting }),
Some(req),
);
}
);
macro_rules! generate_configure {
@@ -387,7 +660,6 @@ generate_configure!(
filterable_attributes,
sortable_attributes,
displayed_attributes,
localized_attributes,
searchable_attributes,
distinct_attribute,
proximity_precision,
@@ -410,7 +682,7 @@ pub async fn update_all(
body: AwebJson<Settings<Unchecked>, DeserrJsonError>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
@@ -419,45 +691,103 @@ pub async fn update_all(
let new_settings = validate_settings(new_settings, &index_scheduler)?;
analytics.publish(
SettingsAnalytics {
ranking_rules: RankingRulesAnalytics::new(new_settings.ranking_rules.as_ref().set()),
searchable_attributes: SearchableAttributesAnalytics::new(
new_settings.searchable_attributes.as_ref().set(),
),
displayed_attributes: DisplayedAttributesAnalytics::new(
new_settings.displayed_attributes.as_ref().set(),
),
sortable_attributes: SortableAttributesAnalytics::new(
new_settings.sortable_attributes.as_ref().set(),
),
filterable_attributes: FilterableAttributesAnalytics::new(
new_settings.filterable_attributes.as_ref().set(),
),
distinct_attribute: DistinctAttributeAnalytics::new(
new_settings.distinct_attribute.as_ref().set(),
),
proximity_precision: ProximityPrecisionAnalytics::new(
new_settings.proximity_precision.as_ref().set(),
),
typo_tolerance: TypoToleranceAnalytics::new(new_settings.typo_tolerance.as_ref().set()),
faceting: FacetingAnalytics::new(new_settings.faceting.as_ref().set()),
pagination: PaginationAnalytics::new(new_settings.pagination.as_ref().set()),
stop_words: StopWordsAnalytics::new(new_settings.stop_words.as_ref().set()),
synonyms: SynonymsAnalytics::new(new_settings.synonyms.as_ref().set()),
embedders: EmbeddersAnalytics::new(new_settings.embedders.as_ref().set()),
search_cutoff_ms: SearchCutoffMsAnalytics::new(
new_settings.search_cutoff_ms.as_ref().set(),
),
locales: LocalesAnalytics::new(new_settings.localized_attributes.as_ref().set()),
dictionary: DictionaryAnalytics::new(new_settings.dictionary.as_ref().set()),
separator_tokens: SeparatorTokensAnalytics::new(
new_settings.separator_tokens.as_ref().set(),
),
non_separator_tokens: NonSeparatorTokensAnalytics::new(
new_settings.non_separator_tokens.as_ref().set(),
),
},
&req,
"Settings Updated".to_string(),
json!({
"ranking_rules": {
"words_position": new_settings.ranking_rules.as_ref().set().map(|rr| rr.iter().position(|s| matches!(s, RankingRuleView::Words))),
"typo_position": new_settings.ranking_rules.as_ref().set().map(|rr| rr.iter().position(|s| matches!(s, RankingRuleView::Typo))),
"proximity_position": new_settings.ranking_rules.as_ref().set().map(|rr| rr.iter().position(|s| matches!(s, RankingRuleView::Proximity))),
"attribute_position": new_settings.ranking_rules.as_ref().set().map(|rr| rr.iter().position(|s| matches!(s, RankingRuleView::Attribute))),
"sort_position": new_settings.ranking_rules.as_ref().set().map(|rr| rr.iter().position(|s| matches!(s, RankingRuleView::Sort))),
"exactness_position": new_settings.ranking_rules.as_ref().set().map(|rr| rr.iter().position(|s| matches!(s, RankingRuleView::Exactness))),
"values": new_settings.ranking_rules.as_ref().set().map(|rr| rr.iter().filter(|s| !matches!(s, RankingRuleView::Asc(_) | RankingRuleView::Desc(_)) ).map(|x| x.to_string()).collect::<Vec<_>>().join(", ")),
},
"searchable_attributes": {
"total": new_settings.searchable_attributes.as_ref().set().map(|searchable| searchable.len()),
"with_wildcard": new_settings.searchable_attributes.as_ref().set().map(|searchable| searchable.iter().any(|searchable| searchable == "*")),
},
"displayed_attributes": {
"total": new_settings.displayed_attributes.as_ref().set().map(|displayed| displayed.len()),
"with_wildcard": new_settings.displayed_attributes.as_ref().set().map(|displayed| displayed.iter().any(|displayed| displayed == "*")),
},
"sortable_attributes": {
"total": new_settings.sortable_attributes.as_ref().set().map(|sort| sort.len()),
"has_geo": new_settings.sortable_attributes.as_ref().set().map(|sort| sort.iter().any(|s| s == "_geo")),
},
"filterable_attributes": {
"total": new_settings.filterable_attributes.as_ref().set().map(|filter| filter.len()),
"has_geo": new_settings.filterable_attributes.as_ref().set().map(|filter| filter.iter().any(|s| s == "_geo")),
},
"distinct_attribute": {
"set": new_settings.distinct_attribute.as_ref().set().is_some()
},
"proximity_precision": {
"set": new_settings.proximity_precision.as_ref().set().is_some(),
"value": new_settings.proximity_precision.as_ref().set().copied().unwrap_or_default()
},
"typo_tolerance": {
"enabled": new_settings.typo_tolerance
.as_ref()
.set()
.and_then(|s| s.enabled.as_ref().set())
.copied(),
"disable_on_attributes": new_settings.typo_tolerance
.as_ref()
.set()
.and_then(|s| s.disable_on_attributes.as_ref().set().map(|m| !m.is_empty())),
"disable_on_words": new_settings.typo_tolerance
.as_ref()
.set()
.and_then(|s| s.disable_on_words.as_ref().set().map(|m| !m.is_empty())),
"min_word_size_for_one_typo": new_settings.typo_tolerance
.as_ref()
.set()
.and_then(|s| s.min_word_size_for_typos
.as_ref()
.set()
.map(|s| s.one_typo.set()))
.flatten(),
"min_word_size_for_two_typos": new_settings.typo_tolerance
.as_ref()
.set()
.and_then(|s| s.min_word_size_for_typos
.as_ref()
.set()
.map(|s| s.two_typos.set()))
.flatten(),
},
"faceting": {
"max_values_per_facet": new_settings.faceting
.as_ref()
.set()
.and_then(|s| s.max_values_per_facet.as_ref().set()),
"sort_facet_values_by_star_count": new_settings.faceting
.as_ref()
.set()
.and_then(|s| {
s.sort_facet_values_by.as_ref().set().map(|s| s.iter().any(|(k, v)| k == "*" && v == &FacetValuesSort::Count))
}),
"sort_facet_values_by_total": new_settings.faceting
.as_ref()
.set()
.and_then(|s| s.sort_facet_values_by.as_ref().set().map(|s| s.len())),
},
"pagination": {
"max_total_hits": new_settings.pagination
.as_ref()
.set()
.and_then(|s| s.max_total_hits.as_ref().set()),
},
"stop_words": {
"total": new_settings.stop_words.as_ref().set().map(|stop_words| stop_words.len()),
},
"synonyms": {
"total": new_settings.synonyms.as_ref().set().map(|synonyms| synonyms.len()),
},
"embedders": crate::routes::indexes::settings::embedder_analytics(new_settings.embedders.as_ref().set()),
"search_cutoff_ms": new_settings.search_cutoff_ms.as_ref().set(),
}),
Some(&req),
);
let allow_index_creation = index_scheduler.filters().allow_index_creation(&index_uid);

View File

@@ -1,621 +0,0 @@
//! All the structures used to make the analytics on the settings works.
//! The signatures of the `new` functions are not very rust idiomatic because they must match the types received
//! through the sub-settings route directly without any manipulation.
//! This is why we often use a `Option<&Vec<_>>` instead of a `Option<&[_]>`.
use meilisearch_types::locales::{Locale, LocalizedAttributesRuleView};
use meilisearch_types::milli::update::Setting;
use meilisearch_types::milli::vector::settings::EmbeddingSettings;
use meilisearch_types::settings::{
FacetingSettings, PaginationSettings, ProximityPrecisionView, TypoSettings,
};
use meilisearch_types::{facet_values_sort::FacetValuesSort, settings::RankingRuleView};
use serde::Serialize;
use std::collections::{BTreeMap, BTreeSet, HashSet};
use crate::analytics::Aggregate;
#[derive(Serialize, Default)]
pub struct SettingsAnalytics {
pub ranking_rules: RankingRulesAnalytics,
pub searchable_attributes: SearchableAttributesAnalytics,
pub displayed_attributes: DisplayedAttributesAnalytics,
pub sortable_attributes: SortableAttributesAnalytics,
pub filterable_attributes: FilterableAttributesAnalytics,
pub distinct_attribute: DistinctAttributeAnalytics,
pub proximity_precision: ProximityPrecisionAnalytics,
pub typo_tolerance: TypoToleranceAnalytics,
pub faceting: FacetingAnalytics,
pub pagination: PaginationAnalytics,
pub stop_words: StopWordsAnalytics,
pub synonyms: SynonymsAnalytics,
pub embedders: EmbeddersAnalytics,
pub search_cutoff_ms: SearchCutoffMsAnalytics,
pub locales: LocalesAnalytics,
pub dictionary: DictionaryAnalytics,
pub separator_tokens: SeparatorTokensAnalytics,
pub non_separator_tokens: NonSeparatorTokensAnalytics,
}
impl Aggregate for SettingsAnalytics {
fn event_name(&self) -> &'static str {
"Settings Updated"
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self {
ranking_rules: RankingRulesAnalytics {
words_position: new
.ranking_rules
.words_position
.or(self.ranking_rules.words_position),
typo_position: new.ranking_rules.typo_position.or(self.ranking_rules.typo_position),
proximity_position: new
.ranking_rules
.proximity_position
.or(self.ranking_rules.proximity_position),
attribute_position: new
.ranking_rules
.attribute_position
.or(self.ranking_rules.attribute_position),
sort_position: new.ranking_rules.sort_position.or(self.ranking_rules.sort_position),
exactness_position: new
.ranking_rules
.exactness_position
.or(self.ranking_rules.exactness_position),
values: new.ranking_rules.values.or(self.ranking_rules.values),
},
searchable_attributes: SearchableAttributesAnalytics {
total: new.searchable_attributes.total.or(self.searchable_attributes.total),
with_wildcard: new
.searchable_attributes
.with_wildcard
.or(self.searchable_attributes.with_wildcard),
},
displayed_attributes: DisplayedAttributesAnalytics {
total: new.displayed_attributes.total.or(self.displayed_attributes.total),
with_wildcard: new
.displayed_attributes
.with_wildcard
.or(self.displayed_attributes.with_wildcard),
},
sortable_attributes: SortableAttributesAnalytics {
total: new.sortable_attributes.total.or(self.sortable_attributes.total),
has_geo: new.sortable_attributes.has_geo.or(self.sortable_attributes.has_geo),
},
filterable_attributes: FilterableAttributesAnalytics {
total: new.filterable_attributes.total.or(self.filterable_attributes.total),
has_geo: new.filterable_attributes.has_geo.or(self.filterable_attributes.has_geo),
},
distinct_attribute: DistinctAttributeAnalytics {
set: self.distinct_attribute.set | new.distinct_attribute.set,
},
proximity_precision: ProximityPrecisionAnalytics {
set: self.proximity_precision.set | new.proximity_precision.set,
value: new.proximity_precision.value.or(self.proximity_precision.value),
},
typo_tolerance: TypoToleranceAnalytics {
enabled: new.typo_tolerance.enabled.or(self.typo_tolerance.enabled),
disable_on_attributes: new
.typo_tolerance
.disable_on_attributes
.or(self.typo_tolerance.disable_on_attributes),
disable_on_words: new
.typo_tolerance
.disable_on_words
.or(self.typo_tolerance.disable_on_words),
min_word_size_for_one_typo: new
.typo_tolerance
.min_word_size_for_one_typo
.or(self.typo_tolerance.min_word_size_for_one_typo),
min_word_size_for_two_typos: new
.typo_tolerance
.min_word_size_for_two_typos
.or(self.typo_tolerance.min_word_size_for_two_typos),
},
faceting: FacetingAnalytics {
max_values_per_facet: new
.faceting
.max_values_per_facet
.or(self.faceting.max_values_per_facet),
sort_facet_values_by_star_count: new
.faceting
.sort_facet_values_by_star_count
.or(self.faceting.sort_facet_values_by_star_count),
sort_facet_values_by_total: new
.faceting
.sort_facet_values_by_total
.or(self.faceting.sort_facet_values_by_total),
},
pagination: PaginationAnalytics {
max_total_hits: new.pagination.max_total_hits.or(self.pagination.max_total_hits),
},
stop_words: StopWordsAnalytics {
total: new.stop_words.total.or(self.stop_words.total),
},
synonyms: SynonymsAnalytics { total: new.synonyms.total.or(self.synonyms.total) },
embedders: EmbeddersAnalytics {
total: new.embedders.total.or(self.embedders.total),
sources: match (self.embedders.sources, new.embedders.sources) {
(None, None) => None,
(Some(sources), None) | (None, Some(sources)) => Some(sources),
(Some(this), Some(other)) => Some(this.union(&other).cloned().collect()),
},
document_template_used: match (
self.embedders.document_template_used,
new.embedders.document_template_used,
) {
(None, None) => None,
(Some(used), None) | (None, Some(used)) => Some(used),
(Some(this), Some(other)) => Some(this | other),
},
document_template_max_bytes: match (
self.embedders.document_template_max_bytes,
new.embedders.document_template_max_bytes,
) {
(None, None) => None,
(Some(bytes), None) | (None, Some(bytes)) => Some(bytes),
(Some(this), Some(other)) => Some(this.max(other)),
},
binary_quantization_used: match (
self.embedders.binary_quantization_used,
new.embedders.binary_quantization_used,
) {
(None, None) => None,
(Some(bq), None) | (None, Some(bq)) => Some(bq),
(Some(this), Some(other)) => Some(this | other),
},
},
search_cutoff_ms: SearchCutoffMsAnalytics {
search_cutoff_ms: new
.search_cutoff_ms
.search_cutoff_ms
.or(self.search_cutoff_ms.search_cutoff_ms),
},
locales: LocalesAnalytics { locales: new.locales.locales.or(self.locales.locales) },
dictionary: DictionaryAnalytics {
total: new.dictionary.total.or(self.dictionary.total),
},
separator_tokens: SeparatorTokensAnalytics {
total: new.non_separator_tokens.total.or(self.separator_tokens.total),
},
non_separator_tokens: NonSeparatorTokensAnalytics {
total: new.non_separator_tokens.total.or(self.non_separator_tokens.total),
},
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(*self).unwrap_or_default()
}
}
#[derive(Serialize, Default)]
pub struct RankingRulesAnalytics {
pub words_position: Option<usize>,
pub typo_position: Option<usize>,
pub proximity_position: Option<usize>,
pub attribute_position: Option<usize>,
pub sort_position: Option<usize>,
pub exactness_position: Option<usize>,
pub values: Option<String>,
}
impl RankingRulesAnalytics {
pub fn new(rr: Option<&Vec<RankingRuleView>>) -> Self {
RankingRulesAnalytics {
words_position: rr.as_ref().and_then(|rr| {
rr.iter()
.position(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Words))
}),
typo_position: rr.as_ref().and_then(|rr| {
rr.iter()
.position(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Typo))
}),
proximity_position: rr.as_ref().and_then(|rr| {
rr.iter().position(|s| {
matches!(s, meilisearch_types::settings::RankingRuleView::Proximity)
})
}),
attribute_position: rr.as_ref().and_then(|rr| {
rr.iter().position(|s| {
matches!(s, meilisearch_types::settings::RankingRuleView::Attribute)
})
}),
sort_position: rr.as_ref().and_then(|rr| {
rr.iter()
.position(|s| matches!(s, meilisearch_types::settings::RankingRuleView::Sort))
}),
exactness_position: rr.as_ref().and_then(|rr| {
rr.iter().position(|s| {
matches!(s, meilisearch_types::settings::RankingRuleView::Exactness)
})
}),
values: rr.as_ref().map(|rr| {
rr.iter()
.filter(|s| {
matches!(
s,
meilisearch_types::settings::RankingRuleView::Asc(_)
| meilisearch_types::settings::RankingRuleView::Desc(_)
)
})
.map(|x| x.to_string())
.collect::<Vec<_>>()
.join(", ")
}),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { ranking_rules: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct SearchableAttributesAnalytics {
pub total: Option<usize>,
pub with_wildcard: Option<bool>,
}
impl SearchableAttributesAnalytics {
pub fn new(setting: Option<&Vec<String>>) -> Self {
Self {
total: setting.as_ref().map(|searchable| searchable.len()),
with_wildcard: setting
.as_ref()
.map(|searchable| searchable.iter().any(|searchable| searchable == "*")),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { searchable_attributes: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct DisplayedAttributesAnalytics {
pub total: Option<usize>,
pub with_wildcard: Option<bool>,
}
impl DisplayedAttributesAnalytics {
pub fn new(displayed: Option<&Vec<String>>) -> Self {
Self {
total: displayed.as_ref().map(|displayed| displayed.len()),
with_wildcard: displayed
.as_ref()
.map(|displayed| displayed.iter().any(|displayed| displayed == "*")),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { displayed_attributes: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct SortableAttributesAnalytics {
pub total: Option<usize>,
pub has_geo: Option<bool>,
}
impl SortableAttributesAnalytics {
pub fn new(setting: Option<&BTreeSet<String>>) -> Self {
Self {
total: setting.as_ref().map(|sort| sort.len()),
has_geo: setting.as_ref().map(|sort| sort.contains("_geo")),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { sortable_attributes: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct FilterableAttributesAnalytics {
pub total: Option<usize>,
pub has_geo: Option<bool>,
}
impl FilterableAttributesAnalytics {
pub fn new(setting: Option<&BTreeSet<String>>) -> Self {
Self {
total: setting.as_ref().map(|filter| filter.len()),
has_geo: setting.as_ref().map(|filter| filter.contains("_geo")),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { filterable_attributes: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct DistinctAttributeAnalytics {
pub set: bool,
}
impl DistinctAttributeAnalytics {
pub fn new(distinct: Option<&String>) -> Self {
Self { set: distinct.is_some() }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { distinct_attribute: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct ProximityPrecisionAnalytics {
pub set: bool,
pub value: Option<ProximityPrecisionView>,
}
impl ProximityPrecisionAnalytics {
pub fn new(precision: Option<&ProximityPrecisionView>) -> Self {
Self { set: precision.is_some(), value: precision.cloned() }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { proximity_precision: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct TypoToleranceAnalytics {
pub enabled: Option<bool>,
pub disable_on_attributes: Option<bool>,
pub disable_on_words: Option<bool>,
pub min_word_size_for_one_typo: Option<u8>,
pub min_word_size_for_two_typos: Option<u8>,
}
impl TypoToleranceAnalytics {
pub fn new(setting: Option<&TypoSettings>) -> Self {
Self {
enabled: setting.as_ref().map(|s| !matches!(s.enabled, Setting::Set(false))),
disable_on_attributes: setting
.as_ref()
.and_then(|s| s.disable_on_attributes.as_ref().set().map(|m| !m.is_empty())),
disable_on_words: setting
.as_ref()
.and_then(|s| s.disable_on_words.as_ref().set().map(|m| !m.is_empty())),
min_word_size_for_one_typo: setting
.as_ref()
.and_then(|s| s.min_word_size_for_typos.as_ref().set().map(|s| s.one_typo.set()))
.flatten(),
min_word_size_for_two_typos: setting
.as_ref()
.and_then(|s| s.min_word_size_for_typos.as_ref().set().map(|s| s.two_typos.set()))
.flatten(),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { typo_tolerance: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct FacetingAnalytics {
pub max_values_per_facet: Option<usize>,
pub sort_facet_values_by_star_count: Option<bool>,
pub sort_facet_values_by_total: Option<usize>,
}
impl FacetingAnalytics {
pub fn new(setting: Option<&FacetingSettings>) -> Self {
Self {
max_values_per_facet: setting.as_ref().and_then(|s| s.max_values_per_facet.set()),
sort_facet_values_by_star_count: setting.as_ref().and_then(|s| {
s.sort_facet_values_by
.as_ref()
.set()
.map(|s| s.iter().any(|(k, v)| k == "*" && v == &FacetValuesSort::Count))
}),
sort_facet_values_by_total: setting
.as_ref()
.and_then(|s| s.sort_facet_values_by.as_ref().set().map(|s| s.len())),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { faceting: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct PaginationAnalytics {
pub max_total_hits: Option<usize>,
}
impl PaginationAnalytics {
pub fn new(setting: Option<&PaginationSettings>) -> Self {
Self { max_total_hits: setting.as_ref().and_then(|s| s.max_total_hits.set()) }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { pagination: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct StopWordsAnalytics {
pub total: Option<usize>,
}
impl StopWordsAnalytics {
pub fn new(stop_words: Option<&BTreeSet<String>>) -> Self {
Self { total: stop_words.as_ref().map(|stop_words| stop_words.len()) }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { stop_words: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct SynonymsAnalytics {
pub total: Option<usize>,
}
impl SynonymsAnalytics {
pub fn new(synonyms: Option<&BTreeMap<String, Vec<String>>>) -> Self {
Self { total: synonyms.as_ref().map(|synonyms| synonyms.len()) }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { synonyms: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct EmbeddersAnalytics {
// last
pub total: Option<usize>,
// Merge the sources
pub sources: Option<HashSet<String>>,
// |=
pub document_template_used: Option<bool>,
// max
pub document_template_max_bytes: Option<usize>,
// |=
pub binary_quantization_used: Option<bool>,
}
impl EmbeddersAnalytics {
pub fn new(setting: Option<&BTreeMap<String, Setting<EmbeddingSettings>>>) -> Self {
let mut sources = std::collections::HashSet::new();
if let Some(s) = &setting {
for source in s
.values()
.filter_map(|config| config.clone().set())
.filter_map(|config| config.source.set())
{
use meilisearch_types::milli::vector::settings::EmbedderSource;
match source {
EmbedderSource::OpenAi => sources.insert("openAi".to_string()),
EmbedderSource::HuggingFace => sources.insert("huggingFace".to_string()),
EmbedderSource::UserProvided => sources.insert("userProvided".to_string()),
EmbedderSource::Ollama => sources.insert("ollama".to_string()),
EmbedderSource::Rest => sources.insert("rest".to_string()),
};
}
};
Self {
total: setting.as_ref().map(|s| s.len()),
sources: Some(sources),
document_template_used: setting.as_ref().map(|map| {
map.values()
.filter_map(|config| config.clone().set())
.any(|config| config.document_template.set().is_some())
}),
document_template_max_bytes: setting.as_ref().and_then(|map| {
map.values()
.filter_map(|config| config.clone().set())
.filter_map(|config| config.document_template_max_bytes.set())
.max()
}),
binary_quantization_used: setting.as_ref().map(|map| {
map.values()
.filter_map(|config| config.clone().set())
.any(|config| config.binary_quantized.set().is_some())
}),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { embedders: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
#[serde(transparent)]
pub struct SearchCutoffMsAnalytics {
pub search_cutoff_ms: Option<u64>,
}
impl SearchCutoffMsAnalytics {
pub fn new(setting: Option<&u64>) -> Self {
Self { search_cutoff_ms: setting.copied() }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { search_cutoff_ms: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
#[serde(transparent)]
pub struct LocalesAnalytics {
pub locales: Option<BTreeSet<Locale>>,
}
impl LocalesAnalytics {
pub fn new(rules: Option<&Vec<LocalizedAttributesRuleView>>) -> Self {
LocalesAnalytics {
locales: rules.as_ref().map(|rules| {
rules
.iter()
.flat_map(|rule| rule.locales.iter().cloned())
.collect::<std::collections::BTreeSet<_>>()
}),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { locales: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct DictionaryAnalytics {
pub total: Option<usize>,
}
impl DictionaryAnalytics {
pub fn new(dictionary: Option<&BTreeSet<String>>) -> Self {
Self { total: dictionary.as_ref().map(|dictionary| dictionary.len()) }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { dictionary: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct SeparatorTokensAnalytics {
pub total: Option<usize>,
}
impl SeparatorTokensAnalytics {
pub fn new(separator_tokens: Option<&BTreeSet<String>>) -> Self {
Self { total: separator_tokens.as_ref().map(|separator_tokens| separator_tokens.len()) }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { separator_tokens: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct NonSeparatorTokensAnalytics {
pub total: Option<usize>,
}
impl NonSeparatorTokensAnalytics {
pub fn new(non_separator_tokens: Option<&BTreeSet<String>>) -> Self {
Self {
total: non_separator_tokens
.as_ref()
.map(|non_separator_tokens| non_separator_tokens.len()),
}
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { non_separator_tokens: self, ..Default::default() }
}
}

View File

@@ -13,10 +13,9 @@ use serde_json::Value;
use tracing::debug;
use super::ActionPolicy;
use crate::analytics::Analytics;
use crate::analytics::{Analytics, SimilarAggregator};
use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
use crate::routes::indexes::similar_analytics::{SimilarAggregator, SimilarGET, SimilarPOST};
use crate::search::{
add_search_rules, perform_similar, RankingScoreThresholdSimilar, RetrieveVectors, SearchKind,
SimilarQuery, SimilarResult, DEFAULT_SEARCH_LIMIT, DEFAULT_SEARCH_OFFSET,
@@ -35,13 +34,13 @@ pub async fn similar_get(
index_uid: web::Path<String>,
params: AwebQueryParameter<SimilarQueryGet, DeserrQueryParamError>,
req: HttpRequest,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let query = params.0.try_into()?;
let mut aggregate = SimilarAggregator::<SimilarGET>::from_query(&query);
let mut aggregate = SimilarAggregator::from_query(&query, &req);
debug!(parameters = ?query, "Similar get");
@@ -50,7 +49,7 @@ pub async fn similar_get(
if let Ok(similar) = &similar {
aggregate.succeed(similar);
}
analytics.publish(aggregate, &req);
analytics.get_similar(aggregate);
let similar = similar?;
@@ -63,21 +62,21 @@ pub async fn similar_post(
index_uid: web::Path<String>,
params: AwebJson<SimilarQuery, DeserrJsonError>,
req: HttpRequest,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let query = params.into_inner();
debug!(parameters = ?query, "Similar post");
let mut aggregate = SimilarAggregator::<SimilarPOST>::from_query(&query);
let mut aggregate = SimilarAggregator::from_query(&query, &req);
let similar = similar(index_scheduler, index_uid, query).await;
if let Ok(similar) = &similar {
aggregate.succeed(similar);
}
analytics.publish(aggregate, &req);
analytics.post_similar(aggregate);
let similar = similar?;
@@ -103,8 +102,8 @@ async fn similar(
let index = index_scheduler.index(&index_uid)?;
let (embedder_name, embedder, quantized) =
SearchKind::embedder(&index_scheduler, &index, &query.embedder, None)?;
let (embedder_name, embedder) =
SearchKind::embedder(&index_scheduler, &index, query.embedder.as_deref(), None)?;
tokio::task::spawn_blocking(move || {
perform_similar(
@@ -112,7 +111,6 @@ async fn similar(
query,
embedder_name,
embedder,
quantized,
retrieve_vectors,
index_scheduler.features(),
)
@@ -141,8 +139,8 @@ pub struct SimilarQueryGet {
show_ranking_score_details: Param<bool>,
#[deserr(default, error = DeserrQueryParamError<InvalidSimilarRankingScoreThreshold>, default)]
pub ranking_score_threshold: Option<RankingScoreThresholdGet>,
#[deserr(error = DeserrQueryParamError<InvalidEmbedder>)]
pub embedder: String,
#[deserr(default, error = DeserrQueryParamError<InvalidEmbedder>)]
pub embedder: Option<String>,
}
#[derive(Debug, Clone, Copy, PartialEq, deserr::Deserr)]

View File

@@ -1,235 +0,0 @@
use std::collections::{BinaryHeap, HashMap};
use once_cell::sync::Lazy;
use regex::Regex;
use serde_json::{json, Value};
use crate::{
aggregate_methods,
analytics::{Aggregate, AggregateMethod},
search::{SimilarQuery, SimilarResult},
};
aggregate_methods!(
SimilarPOST => "Similar POST",
SimilarGET => "Similar GET",
);
#[derive(Default)]
pub struct SimilarAggregator<Method: AggregateMethod> {
// requests
total_received: usize,
total_succeeded: usize,
time_spent: BinaryHeap<usize>,
// filter
filter_with_geo_radius: bool,
filter_with_geo_bounding_box: bool,
// every time a request has a filter, this field must be incremented by the number of terms it contains
filter_sum_of_criteria_terms: usize,
// every time a request has a filter, this field must be incremented by one
filter_total_number_of_criteria: usize,
used_syntax: HashMap<String, usize>,
// Whether a non-default embedder was specified
retrieve_vectors: bool,
// pagination
max_limit: usize,
max_offset: usize,
// formatting
max_attributes_to_retrieve: usize,
// scoring
show_ranking_score: bool,
show_ranking_score_details: bool,
ranking_score_threshold: bool,
marker: std::marker::PhantomData<Method>,
}
impl<Method: AggregateMethod> SimilarAggregator<Method> {
#[allow(clippy::field_reassign_with_default)]
pub fn from_query(query: &SimilarQuery) -> Self {
let SimilarQuery {
id: _,
embedder: _,
offset,
limit,
attributes_to_retrieve: _,
retrieve_vectors,
show_ranking_score,
show_ranking_score_details,
filter,
ranking_score_threshold,
} = query;
let mut ret = Self::default();
ret.total_received = 1;
if let Some(ref filter) = filter {
static RE: Lazy<Regex> = Lazy::new(|| Regex::new("AND | OR").unwrap());
ret.filter_total_number_of_criteria = 1;
let syntax = match filter {
Value::String(_) => "string".to_string(),
Value::Array(values) => {
if values.iter().map(|v| v.to_string()).any(|s| RE.is_match(&s)) {
"mixed".to_string()
} else {
"array".to_string()
}
}
_ => "none".to_string(),
};
// convert the string to a HashMap
ret.used_syntax.insert(syntax, 1);
let stringified_filters = filter.to_string();
ret.filter_with_geo_radius = stringified_filters.contains("_geoRadius(");
ret.filter_with_geo_bounding_box = stringified_filters.contains("_geoBoundingBox(");
ret.filter_sum_of_criteria_terms = RE.split(&stringified_filters).count();
}
ret.max_limit = *limit;
ret.max_offset = *offset;
ret.show_ranking_score = *show_ranking_score;
ret.show_ranking_score_details = *show_ranking_score_details;
ret.ranking_score_threshold = ranking_score_threshold.is_some();
ret.retrieve_vectors = *retrieve_vectors;
ret
}
pub fn succeed(&mut self, result: &SimilarResult) {
let SimilarResult { id: _, hits: _, processing_time_ms, hits_info: _ } = result;
self.total_succeeded = self.total_succeeded.saturating_add(1);
self.time_spent.push(*processing_time_ms as usize);
}
}
impl<Method: AggregateMethod> Aggregate for SimilarAggregator<Method> {
fn event_name(&self) -> &'static str {
Method::event_name()
}
/// Aggregate one [SimilarAggregator] into another.
fn aggregate(mut self: Box<Self>, new: Box<Self>) -> Box<Self> {
let Self {
total_received,
total_succeeded,
mut time_spent,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
filter_total_number_of_criteria,
used_syntax,
max_limit,
max_offset,
max_attributes_to_retrieve,
show_ranking_score,
show_ranking_score_details,
ranking_score_threshold,
retrieve_vectors,
marker: _,
} = *new;
// request
self.total_received = self.total_received.saturating_add(total_received);
self.total_succeeded = self.total_succeeded.saturating_add(total_succeeded);
self.time_spent.append(&mut time_spent);
// filter
self.filter_with_geo_radius |= filter_with_geo_radius;
self.filter_with_geo_bounding_box |= filter_with_geo_bounding_box;
self.filter_sum_of_criteria_terms =
self.filter_sum_of_criteria_terms.saturating_add(filter_sum_of_criteria_terms);
self.filter_total_number_of_criteria =
self.filter_total_number_of_criteria.saturating_add(filter_total_number_of_criteria);
for (key, value) in used_syntax.into_iter() {
let used_syntax = self.used_syntax.entry(key).or_insert(0);
*used_syntax = used_syntax.saturating_add(value);
}
self.retrieve_vectors |= retrieve_vectors;
// pagination
self.max_limit = self.max_limit.max(max_limit);
self.max_offset = self.max_offset.max(max_offset);
// formatting
self.max_attributes_to_retrieve =
self.max_attributes_to_retrieve.max(max_attributes_to_retrieve);
// scoring
self.show_ranking_score |= show_ranking_score;
self.show_ranking_score_details |= show_ranking_score_details;
self.ranking_score_threshold |= ranking_score_threshold;
self
}
fn into_event(self: Box<Self>) -> serde_json::Value {
let Self {
total_received,
total_succeeded,
time_spent,
filter_with_geo_radius,
filter_with_geo_bounding_box,
filter_sum_of_criteria_terms,
filter_total_number_of_criteria,
used_syntax,
max_limit,
max_offset,
max_attributes_to_retrieve,
show_ranking_score,
show_ranking_score_details,
ranking_score_threshold,
retrieve_vectors,
marker: _,
} = *self;
// we get all the values in a sorted manner
let time_spent = time_spent.into_sorted_vec();
// the index of the 99th percentage of value
let percentile_99th = time_spent.len() * 99 / 100;
// We are only interested by the slowest value of the 99th fastest results
let time_spent = time_spent.get(percentile_99th);
json!({
"requests": {
"99th_response_time": time_spent.map(|t| format!("{:.2}", t)),
"total_succeeded": total_succeeded,
"total_failed": total_received.saturating_sub(total_succeeded), // just to be sure we never panics
"total_received": total_received,
},
"filter": {
"with_geoRadius": filter_with_geo_radius,
"with_geoBoundingBox": filter_with_geo_bounding_box,
"avg_criteria_number": format!("{:.2}", filter_sum_of_criteria_terms as f64 / filter_total_number_of_criteria as f64),
"most_used_syntax": used_syntax.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
},
"vector": {
"retrieve_vectors": retrieve_vectors,
},
"pagination": {
"max_limit": max_limit,
"max_offset": max_offset,
},
"formatting": {
"max_attributes_to_retrieve": max_attributes_to_retrieve,
},
"scoring": {
"show_ranking_score": show_ranking_score,
"show_ranking_score_details": show_ranking_score_details,
"ranking_score_threshold": ranking_score_threshold,
}
})
}
}

View File

@@ -25,7 +25,6 @@ pub mod indexes;
mod logs;
mod metrics;
mod multi_search;
mod multi_search_analytics;
mod snapshot;
mod swap_indexes;
pub mod tasks;

View File

@@ -9,7 +9,7 @@ use meilisearch_types::keys::actions;
use serde::Serialize;
use tracing::debug;
use crate::analytics::Analytics;
use crate::analytics::{Analytics, MultiSearchAggregator};
use crate::error::MeilisearchHttpError;
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::{AuthenticationError, GuardedData};
@@ -21,8 +21,6 @@ use crate::search::{
};
use crate::search_queue::SearchQueue;
use super::multi_search_analytics::MultiSearchAggregator;
pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(web::resource("").route(web::post().to(SeqHandler(multi_search_with_post))));
}
@@ -37,15 +35,15 @@ pub async fn multi_search_with_post(
search_queue: Data<SearchQueue>,
params: AwebJson<FederatedSearch, DeserrJsonError>,
req: HttpRequest,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
// Since we don't want to process half of the search requests and then get a permit refused
// we're going to get one permit for the whole duration of the multi-search request.
let permit = search_queue.try_get_search_permit().await?;
let _permit = search_queue.try_get_search_permit().await?;
let federated_search = params.into_inner();
let mut multi_aggregate = MultiSearchAggregator::from_federated_search(&federated_search);
let mut multi_aggregate = MultiSearchAggregator::from_federated_search(&federated_search, &req);
let FederatedSearch { mut queries, federation } = federated_search;
@@ -83,13 +81,12 @@ pub async fn multi_search_with_post(
perform_federated_search(&index_scheduler, queries, federation, features)
})
.await;
permit.drop().await;
if let Ok(Ok(_)) = search_result {
multi_aggregate.succeed();
}
analytics.publish(multi_aggregate, &req);
analytics.post_multi_search(multi_aggregate);
HttpResponse::Ok().json(search_result??)
}
None => {
@@ -146,12 +143,11 @@ pub async fn multi_search_with_post(
Ok(search_results)
}
.await;
permit.drop().await;
if search_results.is_ok() {
multi_aggregate.succeed();
}
analytics.publish(multi_aggregate, &req);
analytics.post_multi_search(multi_aggregate);
let search_results = search_results.map_err(|(mut err, query_index)| {
// Add the query index that failed as context for the error message.

View File

@@ -1,170 +0,0 @@
use std::collections::HashSet;
use serde_json::json;
use crate::{
analytics::Aggregate,
search::{FederatedSearch, SearchQueryWithIndex},
};
#[derive(Default)]
pub struct MultiSearchAggregator {
// requests
total_received: usize,
total_succeeded: usize,
// sum of the number of distinct indexes in each single request, use with total_received to compute an avg
total_distinct_index_count: usize,
// number of queries with a single index, use with total_received to compute a proportion
total_single_index: usize,
// sum of the number of search queries in the requests, use with total_received to compute an average
total_search_count: usize,
// scoring
show_ranking_score: bool,
show_ranking_score_details: bool,
// federation
use_federation: bool,
}
impl MultiSearchAggregator {
pub fn from_federated_search(federated_search: &FederatedSearch) -> Self {
let use_federation = federated_search.federation.is_some();
let distinct_indexes: HashSet<_> = federated_search
.queries
.iter()
.map(|query| {
let query = &query;
// make sure we get a compilation error if a field gets added to / removed from SearchQueryWithIndex
let SearchQueryWithIndex {
index_uid,
federation_options: _,
q: _,
vector: _,
offset: _,
limit: _,
page: _,
hits_per_page: _,
attributes_to_retrieve: _,
retrieve_vectors: _,
attributes_to_crop: _,
crop_length: _,
attributes_to_highlight: _,
show_ranking_score: _,
show_ranking_score_details: _,
show_matches_position: _,
filter: _,
sort: _,
distinct: _,
facets: _,
highlight_pre_tag: _,
highlight_post_tag: _,
crop_marker: _,
matching_strategy: _,
attributes_to_search_on: _,
hybrid: _,
ranking_score_threshold: _,
locales: _,
} = query;
index_uid.as_str()
})
.collect();
let show_ranking_score =
federated_search.queries.iter().any(|query| query.show_ranking_score);
let show_ranking_score_details =
federated_search.queries.iter().any(|query| query.show_ranking_score_details);
Self {
total_received: 1,
total_succeeded: 0,
total_distinct_index_count: distinct_indexes.len(),
total_single_index: if distinct_indexes.len() == 1 { 1 } else { 0 },
total_search_count: federated_search.queries.len(),
show_ranking_score,
show_ranking_score_details,
use_federation,
}
}
pub fn succeed(&mut self) {
self.total_succeeded = self.total_succeeded.saturating_add(1);
}
}
impl Aggregate for MultiSearchAggregator {
fn event_name(&self) -> &'static str {
"Documents Searched by Multi-Search POST"
}
/// Aggregate one [MultiSearchAggregator] into another.
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
// write the aggregate in a way that will cause a compilation error if a field is added.
// get ownership of self, replacing it by a default value.
let this = *self;
let total_received = this.total_received.saturating_add(new.total_received);
let total_succeeded = this.total_succeeded.saturating_add(new.total_succeeded);
let total_distinct_index_count =
this.total_distinct_index_count.saturating_add(new.total_distinct_index_count);
let total_single_index = this.total_single_index.saturating_add(new.total_single_index);
let total_search_count = this.total_search_count.saturating_add(new.total_search_count);
let show_ranking_score = this.show_ranking_score || new.show_ranking_score;
let show_ranking_score_details =
this.show_ranking_score_details || new.show_ranking_score_details;
let use_federation = this.use_federation || new.use_federation;
Box::new(Self {
total_received,
total_succeeded,
total_distinct_index_count,
total_single_index,
total_search_count,
show_ranking_score,
show_ranking_score_details,
use_federation,
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
let Self {
total_received,
total_succeeded,
total_distinct_index_count,
total_single_index,
total_search_count,
show_ranking_score,
show_ranking_score_details,
use_federation,
} = *self;
json!({
"requests": {
"total_succeeded": total_succeeded,
"total_failed": total_received.saturating_sub(total_succeeded), // just to be sure we never panics
"total_received": total_received,
},
"indexes": {
"total_single_index": total_single_index,
"total_distinct_index_count": total_distinct_index_count,
"avg_distinct_index_count": (total_distinct_index_count as f64) / (total_received as f64), // not 0 else returned early
},
"searches": {
"total_search_count": total_search_count,
"avg_search_count": (total_search_count as f64) / (total_received as f64),
},
"scoring": {
"show_ranking_score": show_ranking_score,
"show_ranking_score_details": show_ranking_score_details,
},
"federation": {
"use_federation": use_federation,
}
})
}
}

View File

@@ -3,6 +3,7 @@ use actix_web::{web, HttpRequest, HttpResponse};
use index_scheduler::IndexScheduler;
use meilisearch_types::error::ResponseError;
use meilisearch_types::tasks::KindWithContent;
use serde_json::json;
use tracing::debug;
use crate::analytics::Analytics;
@@ -16,15 +17,13 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(web::resource("").route(web::post().to(SeqHandler(create_snapshot))));
}
crate::empty_analytics!(SnapshotAnalytics, "Snapshot Created");
pub async fn create_snapshot(
index_scheduler: GuardedData<ActionPolicy<{ actions::SNAPSHOTS_CREATE }>, Data<IndexScheduler>>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
analytics.publish(SnapshotAnalytics::default(), &req);
analytics.publish("Snapshot Created".to_string(), json!({}), Some(&req));
let task = KindWithContent::SnapshotCreation;
let uid = get_task_id(&req, &opt)?;

View File

@@ -8,10 +8,10 @@ use meilisearch_types::error::deserr_codes::InvalidSwapIndexes;
use meilisearch_types::error::ResponseError;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::tasks::{IndexSwap, KindWithContent};
use serde::Serialize;
use serde_json::json;
use super::{get_task_id, is_dry_run, SummarizedTaskView};
use crate::analytics::{Aggregate, Analytics};
use crate::analytics::Analytics;
use crate::error::MeilisearchHttpError;
use crate::extractors::authentication::policies::*;
use crate::extractors::authentication::{AuthenticationError, GuardedData};
@@ -29,36 +29,21 @@ pub struct SwapIndexesPayload {
indexes: Vec<IndexUid>,
}
#[derive(Serialize)]
struct IndexSwappedAnalytics {
swap_operation_number: usize,
}
impl Aggregate for IndexSwappedAnalytics {
fn event_name(&self) -> &'static str {
"Indexes Swapped"
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self {
swap_operation_number: self.swap_operation_number.max(new.swap_operation_number),
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(*self).unwrap_or_default()
}
}
pub async fn swap_indexes(
index_scheduler: GuardedData<ActionPolicy<{ actions::INDEXES_SWAP }>, Data<IndexScheduler>>,
params: AwebJson<Vec<SwapIndexesPayload>, DeserrJsonError>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let params = params.into_inner();
analytics.publish(IndexSwappedAnalytics { swap_operation_number: params.len() }, &req);
analytics.publish(
"Indexes Swapped".to_string(),
json!({
"swap_operation_number": params.len(),
}),
Some(&req),
);
let filters = index_scheduler.filters();
let mut swaps = vec![];

View File

@@ -12,17 +12,18 @@ use meilisearch_types::star_or::{OptionStarOr, OptionStarOrList};
use meilisearch_types::task_view::TaskView;
use meilisearch_types::tasks::{Kind, KindWithContent, Status};
use serde::Serialize;
use serde_json::json;
use time::format_description::well_known::Rfc3339;
use time::macros::format_description;
use time::{Date, Duration, OffsetDateTime, Time};
use tokio::task;
use super::{get_task_id, is_dry_run, SummarizedTaskView};
use crate::analytics::{Aggregate, AggregateMethod, Analytics};
use crate::analytics::Analytics;
use crate::extractors::authentication::policies::*;
use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
use crate::{aggregate_methods, Opt};
use crate::Opt;
const DEFAULT_LIMIT: u32 = 20;
@@ -157,69 +158,12 @@ impl TaskDeletionOrCancelationQuery {
}
}
aggregate_methods!(
CancelTasks => "Tasks Canceled",
DeleteTasks => "Tasks Deleted",
);
#[derive(Serialize)]
struct TaskFilterAnalytics<Method: AggregateMethod> {
filtered_by_uid: bool,
filtered_by_index_uid: bool,
filtered_by_type: bool,
filtered_by_status: bool,
filtered_by_canceled_by: bool,
filtered_by_before_enqueued_at: bool,
filtered_by_after_enqueued_at: bool,
filtered_by_before_started_at: bool,
filtered_by_after_started_at: bool,
filtered_by_before_finished_at: bool,
filtered_by_after_finished_at: bool,
#[serde(skip)]
marker: std::marker::PhantomData<Method>,
}
impl<Method: AggregateMethod + 'static> Aggregate for TaskFilterAnalytics<Method> {
fn event_name(&self) -> &'static str {
Method::event_name()
}
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self> {
Box::new(Self {
filtered_by_uid: self.filtered_by_uid | new.filtered_by_uid,
filtered_by_index_uid: self.filtered_by_index_uid | new.filtered_by_index_uid,
filtered_by_type: self.filtered_by_type | new.filtered_by_type,
filtered_by_status: self.filtered_by_status | new.filtered_by_status,
filtered_by_canceled_by: self.filtered_by_canceled_by | new.filtered_by_canceled_by,
filtered_by_before_enqueued_at: self.filtered_by_before_enqueued_at
| new.filtered_by_before_enqueued_at,
filtered_by_after_enqueued_at: self.filtered_by_after_enqueued_at
| new.filtered_by_after_enqueued_at,
filtered_by_before_started_at: self.filtered_by_before_started_at
| new.filtered_by_before_started_at,
filtered_by_after_started_at: self.filtered_by_after_started_at
| new.filtered_by_after_started_at,
filtered_by_before_finished_at: self.filtered_by_before_finished_at
| new.filtered_by_before_finished_at,
filtered_by_after_finished_at: self.filtered_by_after_finished_at
| new.filtered_by_after_finished_at,
marker: std::marker::PhantomData,
})
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::to_value(*self).unwrap_or_default()
}
}
async fn cancel_tasks(
index_scheduler: GuardedData<ActionPolicy<{ actions::TASKS_CANCEL }>, Data<IndexScheduler>>,
params: AwebQueryParameter<TaskDeletionOrCancelationQuery, DeserrQueryParamError>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let params = params.into_inner();
@@ -228,22 +172,21 @@ async fn cancel_tasks(
}
analytics.publish(
TaskFilterAnalytics::<CancelTasks> {
filtered_by_uid: params.uids.is_some(),
filtered_by_index_uid: params.index_uids.is_some(),
filtered_by_type: params.types.is_some(),
filtered_by_status: params.statuses.is_some(),
filtered_by_canceled_by: params.canceled_by.is_some(),
filtered_by_before_enqueued_at: params.before_enqueued_at.is_some(),
filtered_by_after_enqueued_at: params.after_enqueued_at.is_some(),
filtered_by_before_started_at: params.before_started_at.is_some(),
filtered_by_after_started_at: params.after_started_at.is_some(),
filtered_by_before_finished_at: params.before_finished_at.is_some(),
filtered_by_after_finished_at: params.after_finished_at.is_some(),
marker: std::marker::PhantomData,
},
&req,
"Tasks Canceled".to_string(),
json!({
"filtered_by_uid": params.uids.is_some(),
"filtered_by_index_uid": params.index_uids.is_some(),
"filtered_by_type": params.types.is_some(),
"filtered_by_status": params.statuses.is_some(),
"filtered_by_canceled_by": params.canceled_by.is_some(),
"filtered_by_before_enqueued_at": params.before_enqueued_at.is_some(),
"filtered_by_after_enqueued_at": params.after_enqueued_at.is_some(),
"filtered_by_before_started_at": params.before_started_at.is_some(),
"filtered_by_after_started_at": params.after_started_at.is_some(),
"filtered_by_before_finished_at": params.before_finished_at.is_some(),
"filtered_by_after_finished_at": params.after_finished_at.is_some(),
}),
Some(&req),
);
let query = params.into_query();
@@ -271,7 +214,7 @@ async fn delete_tasks(
params: AwebQueryParameter<TaskDeletionOrCancelationQuery, DeserrQueryParamError>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: web::Data<Analytics>,
analytics: web::Data<dyn Analytics>,
) -> Result<HttpResponse, ResponseError> {
let params = params.into_inner();
@@ -280,24 +223,22 @@ async fn delete_tasks(
}
analytics.publish(
TaskFilterAnalytics::<DeleteTasks> {
filtered_by_uid: params.uids.is_some(),
filtered_by_index_uid: params.index_uids.is_some(),
filtered_by_type: params.types.is_some(),
filtered_by_status: params.statuses.is_some(),
filtered_by_canceled_by: params.canceled_by.is_some(),
filtered_by_before_enqueued_at: params.before_enqueued_at.is_some(),
filtered_by_after_enqueued_at: params.after_enqueued_at.is_some(),
filtered_by_before_started_at: params.before_started_at.is_some(),
filtered_by_after_started_at: params.after_started_at.is_some(),
filtered_by_before_finished_at: params.before_finished_at.is_some(),
filtered_by_after_finished_at: params.after_finished_at.is_some(),
marker: std::marker::PhantomData,
},
&req,
"Tasks Deleted".to_string(),
json!({
"filtered_by_uid": params.uids.is_some(),
"filtered_by_index_uid": params.index_uids.is_some(),
"filtered_by_type": params.types.is_some(),
"filtered_by_status": params.statuses.is_some(),
"filtered_by_canceled_by": params.canceled_by.is_some(),
"filtered_by_before_enqueued_at": params.before_enqueued_at.is_some(),
"filtered_by_after_enqueued_at": params.after_enqueued_at.is_some(),
"filtered_by_before_started_at": params.before_started_at.is_some(),
"filtered_by_after_started_at": params.after_started_at.is_some(),
"filtered_by_before_finished_at": params.before_finished_at.is_some(),
"filtered_by_after_finished_at": params.after_finished_at.is_some(),
}),
Some(&req),
);
let query = params.into_query();
let (tasks, _) = index_scheduler.get_task_ids_from_authorized_indexes(

View File

@@ -9,24 +9,20 @@ use std::vec::{IntoIter, Vec};
use actix_http::StatusCode;
use index_scheduler::{IndexScheduler, RoFeatures};
use indexmap::IndexMap;
use meilisearch_types::deserr::DeserrJsonError;
use meilisearch_types::error::deserr_codes::{
InvalidMultiSearchFacetsByIndex, InvalidMultiSearchMaxValuesPerFacet,
InvalidMultiSearchMergeFacets, InvalidMultiSearchWeight, InvalidSearchLimit,
InvalidSearchOffset,
InvalidMultiSearchWeight, InvalidSearchLimit, InvalidSearchOffset,
};
use meilisearch_types::error::ResponseError;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::milli::score_details::{ScoreDetails, ScoreValue};
use meilisearch_types::milli::{self, DocumentId, OrderBy, TimeBudget};
use meilisearch_types::milli::{self, DocumentId, TimeBudget};
use roaring::RoaringBitmap;
use serde::Serialize;
use super::ranking_rules::{self, RankingRules};
use super::{
compute_facet_distribution_stats, prepare_search, AttributesFormat, ComputedFacets, FacetStats,
HitMaker, HitsInfo, RetrieveVectors, SearchHit, SearchKind, SearchQuery, SearchQueryWithIndex,
prepare_search, AttributesFormat, HitMaker, HitsInfo, RetrieveVectors, SearchHit, SearchKind,
SearchQuery, SearchQueryWithIndex,
};
use crate::error::MeilisearchHttpError;
use crate::routes::indexes::search::search_kind;
@@ -77,17 +73,6 @@ pub struct Federation {
pub limit: usize,
#[deserr(default = super::DEFAULT_SEARCH_OFFSET(), error = DeserrJsonError<InvalidSearchOffset>)]
pub offset: usize,
#[deserr(default, error = DeserrJsonError<InvalidMultiSearchFacetsByIndex>)]
pub facets_by_index: BTreeMap<IndexUid, Option<Vec<String>>>,
#[deserr(default, error = DeserrJsonError<InvalidMultiSearchMergeFacets>)]
pub merge_facets: Option<MergeFacets>,
}
#[derive(Copy, Clone, Debug, deserr::Deserr, Default)]
#[deserr(error = DeserrJsonError<InvalidMultiSearchMergeFacets>, rename_all = camelCase, deny_unknown_fields)]
pub struct MergeFacets {
#[deserr(default, error = DeserrJsonError<InvalidMultiSearchMaxValuesPerFacet>)]
pub max_values_per_facet: Option<usize>,
}
#[derive(Debug, deserr::Deserr)]
@@ -97,7 +82,7 @@ pub struct FederatedSearch {
#[deserr(default)]
pub federation: Option<Federation>,
}
#[derive(Serialize, Clone)]
#[derive(Serialize, Clone, PartialEq)]
#[serde(rename_all = "camelCase")]
pub struct FederatedSearchResult {
pub hits: Vec<SearchHit>,
@@ -108,13 +93,6 @@ pub struct FederatedSearchResult {
#[serde(skip_serializing_if = "Option::is_none")]
pub semantic_hit_count: Option<u32>,
#[serde(skip_serializing_if = "Option::is_none")]
pub facet_distribution: Option<BTreeMap<String, IndexMap<String, u64>>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub facet_stats: Option<BTreeMap<String, FacetStats>>,
#[serde(skip_serializing_if = "FederatedFacets::is_empty")]
pub facets_by_index: FederatedFacets,
// These fields are only used for analytics purposes
#[serde(skip)]
pub degraded: bool,
@@ -131,9 +109,6 @@ impl fmt::Debug for FederatedSearchResult {
semantic_hit_count,
degraded,
used_negative_operator,
facet_distribution,
facet_stats,
facets_by_index,
} = self;
let mut debug = f.debug_struct("SearchResult");
@@ -147,18 +122,9 @@ impl fmt::Debug for FederatedSearchResult {
if *degraded {
debug.field("degraded", degraded);
}
if let Some(facet_distribution) = facet_distribution {
debug.field("facet_distribution", &facet_distribution);
}
if let Some(facet_stats) = facet_stats {
debug.field("facet_stats", &facet_stats);
}
if let Some(semantic_hit_count) = semantic_hit_count {
debug.field("semantic_hit_count", &semantic_hit_count);
}
if !facets_by_index.is_empty() {
debug.field("facets_by_index", &facets_by_index);
}
debug.finish()
}
@@ -347,104 +313,16 @@ struct SearchHitByIndex {
}
struct SearchResultByIndex {
index: String,
hits: Vec<SearchHitByIndex>,
estimated_total_hits: usize,
candidates: RoaringBitmap,
degraded: bool,
used_negative_operator: bool,
facets: Option<ComputedFacets>,
}
#[derive(Debug, Clone, Default, Serialize)]
pub struct FederatedFacets(pub BTreeMap<String, ComputedFacets>);
impl FederatedFacets {
pub fn insert(&mut self, index: String, facets: Option<ComputedFacets>) {
if let Some(facets) = facets {
self.0.insert(index, facets);
}
}
pub fn is_empty(&self) -> bool {
self.0.is_empty()
}
pub fn merge(
self,
MergeFacets { max_values_per_facet }: MergeFacets,
facet_order: BTreeMap<String, (String, OrderBy)>,
) -> Option<ComputedFacets> {
if self.is_empty() {
return None;
}
let mut distribution: BTreeMap<String, _> = Default::default();
let mut stats: BTreeMap<String, FacetStats> = Default::default();
for facets_by_index in self.0.into_values() {
for (facet, index_distribution) in facets_by_index.distribution {
match distribution.entry(facet) {
std::collections::btree_map::Entry::Vacant(entry) => {
entry.insert(index_distribution);
}
std::collections::btree_map::Entry::Occupied(mut entry) => {
let distribution = entry.get_mut();
for (value, index_count) in index_distribution {
distribution
.entry(value)
.and_modify(|count| *count += index_count)
.or_insert(index_count);
}
}
}
}
for (facet, index_stats) in facets_by_index.stats {
match stats.entry(facet) {
std::collections::btree_map::Entry::Vacant(entry) => {
entry.insert(index_stats);
}
std::collections::btree_map::Entry::Occupied(mut entry) => {
let stats = entry.get_mut();
stats.min = f64::min(stats.min, index_stats.min);
stats.max = f64::max(stats.max, index_stats.max);
}
}
}
}
// fixup order
for (facet, values) in &mut distribution {
let order_by = facet_order.get(facet).map(|(_, order)| *order).unwrap_or_default();
match order_by {
OrderBy::Lexicographic => {
values.sort_unstable_by(|left, _, right, _| left.cmp(right))
}
OrderBy::Count => {
values.sort_unstable_by(|_, left, _, right| {
left.cmp(right)
// biggest first
.reverse()
})
}
}
if let Some(max_values_per_facet) = max_values_per_facet {
values.truncate(max_values_per_facet)
};
}
Some(ComputedFacets { distribution, stats })
}
}
pub fn perform_federated_search(
index_scheduler: &IndexScheduler,
queries: Vec<SearchQueryWithIndex>,
mut federation: Federation,
federation: Federation,
features: RoFeatures,
) -> Result<FederatedSearchResult, ResponseError> {
let before_search = std::time::Instant::now();
@@ -464,16 +342,6 @@ pub fn perform_federated_search(
.into());
}
if let Some(facets) = federated_query.has_facets() {
let facets = facets.to_owned();
return Err(MeilisearchHttpError::FacetsInFederatedQuery(
query_index,
federated_query.index_uid.into_inner(),
facets,
)
.into());
}
let (index_uid, query, federation_options) = federated_query.into_index_query_federation();
queries_by_index.entry(index_uid.into_inner()).or_default().push(QueryByIndex {
@@ -485,24 +353,13 @@ pub fn perform_federated_search(
// 2. perform queries, merge and make hits index by index
let required_hit_count = federation.limit + federation.offset;
// In step (2), semantic_hit_count will be set to Some(0) if any search kind uses semantic
// Then in step (3), we'll update its value if there is any semantic search
let mut semantic_hit_count = None;
let mut results_by_index = Vec::with_capacity(queries_by_index.len());
let mut previous_query_data: Option<(RankingRules, usize, String)> = None;
// remember the order and name of first index for each facet when merging with index settings
// to detect if the order is inconsistent for a facet.
let mut facet_order: Option<BTreeMap<String, (String, OrderBy)>> = match federation.merge_facets
{
Some(MergeFacets { .. }) => Some(Default::default()),
_ => None,
};
for (index_uid, queries) in queries_by_index {
let first_query_index = queries.first().map(|query| query.query_index);
let index = match index_scheduler.index(&index_uid) {
Ok(index) => index,
Err(err) => {
@@ -510,8 +367,9 @@ pub fn perform_federated_search(
// Patch the HTTP status code to 400 as it defaults to 404 for `index_not_found`, but
// here the resource not found is not part of the URL.
err.code = StatusCode::BAD_REQUEST;
if let Some(query_index) = first_query_index {
err.message = format!("Inside `.queries[{}]`: {}", query_index, err.message);
if let Some(query) = queries.first() {
err.message =
format!("Inside `.queries[{}]`: {}", query.query_index, err.message);
}
return Err(err);
}
@@ -522,6 +380,9 @@ pub fn perform_federated_search(
let criteria = index.criteria(&rtxn)?;
// stuff we need for the hitmaker
let script_lang_map = index.script_language(&rtxn)?;
let dictionary = index.dictionary(&rtxn)?;
let dictionary: Option<Vec<_>> =
dictionary.as_ref().map(|x| x.iter().map(String::as_str).collect());
@@ -536,23 +397,6 @@ pub fn perform_federated_search(
let mut used_negative_operator = false;
let mut candidates = RoaringBitmap::new();
let facets_by_index = federation.facets_by_index.remove(&index_uid).flatten();
// TODO: recover the max size + facets_by_index as return value of this function so as not to ask it for all queries
if let Err(mut error) =
check_facet_order(&mut facet_order, &index_uid, &facets_by_index, &index, &rtxn)
{
error.message = format!(
"Inside `.federation.facetsByIndex.{index_uid}`: {error}{}",
if let Some(query_index) = first_query_index {
format!("\n - Note: index `{index_uid}` used in `.queries[{query_index}]`")
} else {
Default::default()
}
);
return Err(error);
}
// 2.1. Compute all candidates for each query in the index
let mut results_by_query = Vec::with_capacity(queries.len());
@@ -650,7 +494,6 @@ pub fn perform_federated_search(
sort: query.sort,
show_ranking_score: query.show_ranking_score,
show_ranking_score_details: query.show_ranking_score_details,
locales: query.locales.map(|l| l.iter().copied().map(Into::into).collect()),
};
let milli::SearchResult {
@@ -666,7 +509,11 @@ pub fn perform_federated_search(
degraded |= query_degraded;
used_negative_operator |= query_used_negative_operator;
let tokenizer = HitMaker::tokenizer(dictionary.as_deref(), separators.as_deref());
let tokenizer = HitMaker::tokenizer(
&script_lang_map,
dictionary.as_deref(),
separators.as_deref(),
);
let formatter_builder = HitMaker::formatter_builder(matching_words, tokenizer);
@@ -721,116 +568,34 @@ pub fn perform_federated_search(
.collect();
let merged_result = merged_result?;
let estimated_total_hits = candidates.len() as usize;
let facets = facets_by_index
.map(|facets_by_index| {
compute_facet_distribution_stats(
&facets_by_index,
&index,
&rtxn,
candidates,
super::Route::MultiSearch,
)
})
.transpose()
.map_err(|mut error| {
error.message = format!(
"Inside `.federation.facetsByIndex.{index_uid}`: {}{}",
error.message,
if let Some(query_index) = first_query_index {
format!("\n - Note: index `{index_uid}` used in `.queries[{query_index}]`")
} else {
Default::default()
}
);
error
})?;
results_by_index.push(SearchResultByIndex {
index: index_uid,
hits: merged_result,
estimated_total_hits,
candidates,
degraded,
used_negative_operator,
facets,
});
}
// bonus step, make sure to return an error if an index wants a non-faceted field, even if no query actually uses that index.
for (index_uid, facets) in federation.facets_by_index {
let index = match index_scheduler.index(&index_uid) {
Ok(index) => index,
Err(err) => {
let mut err = ResponseError::from(err);
// Patch the HTTP status code to 400 as it defaults to 404 for `index_not_found`, but
// here the resource not found is not part of the URL.
err.code = StatusCode::BAD_REQUEST;
err.message = format!(
"Inside `.federation.facetsByIndex.{index_uid}`: {}\n - Note: index `{index_uid}` is not used in queries",
err.message
);
return Err(err);
}
};
// Important: this is the only transaction we'll use for this index during this federated search
let rtxn = index.read_txn()?;
if let Err(mut error) =
check_facet_order(&mut facet_order, &index_uid, &facets, &index, &rtxn)
{
error.message = format!(
"Inside `.federation.facetsByIndex.{index_uid}`: {error}\n - Note: index `{index_uid}` is not used in queries",
);
return Err(error);
}
if let Some(facets) = facets {
if let Err(mut error) = compute_facet_distribution_stats(
&facets,
&index,
&rtxn,
Default::default(),
super::Route::MultiSearch,
) {
error.message =
format!("Inside `.federation.facetsByIndex.{index_uid}`: {}\n - Note: index `{index_uid}` is not used in queries", error.message);
return Err(error);
}
}
}
// 3. merge hits and metadata across indexes
// 3.1 merge metadata
let (estimated_total_hits, degraded, used_negative_operator, facets) = {
let (estimated_total_hits, degraded, used_negative_operator) = {
let mut estimated_total_hits = 0;
let mut degraded = false;
let mut used_negative_operator = false;
let mut facets: FederatedFacets = FederatedFacets::default();
for SearchResultByIndex {
index,
hits: _,
estimated_total_hits: estimated_total_hits_by_index,
facets: facets_by_index,
candidates,
degraded: degraded_by_index,
used_negative_operator: used_negative_operator_by_index,
} in &mut results_by_index
} in &results_by_index
{
estimated_total_hits += *estimated_total_hits_by_index;
estimated_total_hits += candidates.len() as usize;
degraded |= *degraded_by_index;
used_negative_operator |= *used_negative_operator_by_index;
let facets_by_index = std::mem::take(facets_by_index);
let index = std::mem::take(index);
facets.insert(index, facets_by_index);
}
(estimated_total_hits, degraded, used_negative_operator, facets)
(estimated_total_hits, degraded, used_negative_operator)
};
// 3.2 merge hits
@@ -847,20 +612,6 @@ pub fn perform_federated_search(
.map(|hit| hit.hit)
.collect();
let (facet_distribution, facet_stats, facets_by_index) =
match federation.merge_facets.zip(facet_order) {
Some((merge_facets, facet_order)) => {
let facets = facets.merge(merge_facets, facet_order);
let (facet_distribution, facet_stats) = facets
.map(|ComputedFacets { distribution, stats }| (distribution, stats))
.unzip();
(facet_distribution, facet_stats, FederatedFacets::default())
}
None => (None, None, facets),
};
let search_result = FederatedSearchResult {
hits: merged_hits,
processing_time_ms: before_search.elapsed().as_millis(),
@@ -872,39 +623,7 @@ pub fn perform_federated_search(
semantic_hit_count,
degraded,
used_negative_operator,
facet_distribution,
facet_stats,
facets_by_index,
};
Ok(search_result)
}
fn check_facet_order(
facet_order: &mut Option<BTreeMap<String, (String, OrderBy)>>,
current_index: &str,
facets_by_index: &Option<Vec<String>>,
index: &milli::Index,
rtxn: &milli::heed::RoTxn<'_>,
) -> Result<(), ResponseError> {
if let (Some(facet_order), Some(facets_by_index)) = (facet_order, facets_by_index) {
let index_facet_order = index.sort_facet_values_by(rtxn)?;
for facet in facets_by_index {
let index_facet_order = index_facet_order.get(facet);
let (previous_index, previous_facet_order) = facet_order
.entry(facet.to_owned())
.or_insert_with(|| (current_index.to_owned(), index_facet_order));
if previous_facet_order != &index_facet_order {
return Err(MeilisearchHttpError::InconsistentFacetOrder {
facet: facet.clone(),
previous_facet_order: *previous_facet_order,
previous_uid: previous_index.clone(),
current_uid: current_index.to_owned(),
index_facet_order,
}
.into());
}
}
};
Ok(())
}

View File

@@ -1,6 +1,6 @@
use core::fmt;
use std::cmp::min;
use std::collections::{BTreeMap, BTreeSet, HashSet};
use std::collections::{BTreeMap, BTreeSet, HashMap, HashSet};
use std::str::FromStr;
use std::sync::Arc;
use std::time::{Duration, Instant};
@@ -15,17 +15,16 @@ use meilisearch_types::error::deserr_codes::*;
use meilisearch_types::error::{Code, ResponseError};
use meilisearch_types::heed::RoTxn;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::locales::Locale;
use meilisearch_types::milli::score_details::{ScoreDetails, ScoringStrategy};
use meilisearch_types::milli::vector::parsed_vectors::ExplicitVectors;
use meilisearch_types::milli::vector::Embedder;
use meilisearch_types::milli::{FacetValueHit, OrderBy, SearchForFacetValues, TimeBudget};
use meilisearch_types::settings::DEFAULT_PAGINATION_MAX_TOTAL_HITS;
use meilisearch_types::{milli, Document};
use milli::tokenizer::{Language, TokenizerBuilder};
use milli::tokenizer::TokenizerBuilder;
use milli::{
AscDesc, FieldId, FieldsIdsMap, Filter, FormatOptions, Index, LocalizedAttributesRule,
MatchBounds, MatcherBuilder, SortError, TermsMatchingStrategy, DEFAULT_VALUES_PER_FACET,
AscDesc, FieldId, FieldsIdsMap, Filter, FormatOptions, Index, MatchBounds, MatcherBuilder,
SortError, TermsMatchingStrategy, DEFAULT_VALUES_PER_FACET,
};
use regex::Regex;
use serde::Serialize;
@@ -101,8 +100,6 @@ pub struct SearchQuery {
pub attributes_to_search_on: Option<Vec<String>>,
#[deserr(default, error = DeserrJsonError<InvalidSearchRankingScoreThreshold>, default)]
pub ranking_score_threshold: Option<RankingScoreThreshold>,
#[deserr(default, error = DeserrJsonError<InvalidSearchLocales>, default)]
pub locales: Option<Vec<Locale>>,
}
#[derive(Debug, Clone, Copy, PartialEq, Deserr)]
@@ -172,7 +169,6 @@ impl fmt::Debug for SearchQuery {
matching_strategy,
attributes_to_search_on,
ranking_score_threshold,
locales,
} = self;
let mut debug = f.debug_struct("SearchQuery");
@@ -254,10 +250,6 @@ impl fmt::Debug for SearchQuery {
debug.field("ranking_score_threshold", &ranking_score_threshold);
}
if let Some(locales) = locales {
debug.field("locales", &locales);
}
debug.finish()
}
}
@@ -267,54 +259,58 @@ impl fmt::Debug for SearchQuery {
pub struct HybridQuery {
#[deserr(default, error = DeserrJsonError<InvalidSearchSemanticRatio>, default)]
pub semantic_ratio: SemanticRatio,
#[deserr(error = DeserrJsonError<InvalidEmbedder>)]
pub embedder: String,
#[deserr(default, error = DeserrJsonError<InvalidEmbedder>, default)]
pub embedder: Option<String>,
}
#[derive(Clone)]
pub enum SearchKind {
KeywordOnly,
SemanticOnly { embedder_name: String, embedder: Arc<Embedder>, quantized: bool },
Hybrid { embedder_name: String, embedder: Arc<Embedder>, quantized: bool, semantic_ratio: f32 },
SemanticOnly { embedder_name: String, embedder: Arc<Embedder> },
Hybrid { embedder_name: String, embedder: Arc<Embedder>, semantic_ratio: f32 },
}
impl SearchKind {
pub(crate) fn semantic(
index_scheduler: &index_scheduler::IndexScheduler,
index: &Index,
embedder_name: &str,
embedder_name: Option<&str>,
vector_len: Option<usize>,
) -> Result<Self, ResponseError> {
let (embedder_name, embedder, quantized) =
let (embedder_name, embedder) =
Self::embedder(index_scheduler, index, embedder_name, vector_len)?;
Ok(Self::SemanticOnly { embedder_name, embedder, quantized })
Ok(Self::SemanticOnly { embedder_name, embedder })
}
pub(crate) fn hybrid(
index_scheduler: &index_scheduler::IndexScheduler,
index: &Index,
embedder_name: &str,
embedder_name: Option<&str>,
semantic_ratio: f32,
vector_len: Option<usize>,
) -> Result<Self, ResponseError> {
let (embedder_name, embedder, quantized) =
let (embedder_name, embedder) =
Self::embedder(index_scheduler, index, embedder_name, vector_len)?;
Ok(Self::Hybrid { embedder_name, embedder, quantized, semantic_ratio })
Ok(Self::Hybrid { embedder_name, embedder, semantic_ratio })
}
pub(crate) fn embedder(
index_scheduler: &index_scheduler::IndexScheduler,
index: &Index,
embedder_name: &str,
embedder_name: Option<&str>,
vector_len: Option<usize>,
) -> Result<(String, Arc<Embedder>, bool), ResponseError> {
) -> Result<(String, Arc<Embedder>), ResponseError> {
let embedder_configs = index.embedding_configs(&index.read_txn()?)?;
let embedders = index_scheduler.embedders(embedder_configs)?;
let (embedder, _, quantized) = embedders
.get(embedder_name)
let embedder_name = embedder_name.unwrap_or_else(|| embedders.get_default_embedder_name());
let embedder = embedders.get(embedder_name);
let embedder = embedder
.ok_or(milli::UserError::InvalidEmbedder(embedder_name.to_owned()))
.map_err(milli::Error::from)?;
.map_err(milli::Error::from)?
.0;
if let Some(vector_len) = vector_len {
if vector_len != embedder.dimensions() {
@@ -328,7 +324,7 @@ impl SearchKind {
}
}
Ok((embedder_name.to_owned(), embedder, quantized))
Ok((embedder_name.to_owned(), embedder))
}
}
@@ -429,14 +425,15 @@ pub struct SearchQueryWithIndex {
pub attributes_to_search_on: Option<Vec<String>>,
#[deserr(default, error = DeserrJsonError<InvalidSearchRankingScoreThreshold>, default)]
pub ranking_score_threshold: Option<RankingScoreThreshold>,
#[deserr(default, error = DeserrJsonError<InvalidSearchLocales>, default)]
pub locales: Option<Vec<Locale>>,
#[deserr(default)]
pub federation_options: Option<FederationOptions>,
}
impl SearchQueryWithIndex {
pub fn has_federation_options(&self) -> bool {
self.federation_options.is_some()
}
pub fn has_pagination(&self) -> Option<&'static str> {
if self.offset.is_some() {
Some("offset")
@@ -451,10 +448,6 @@ impl SearchQueryWithIndex {
}
}
pub fn has_facets(&self) -> Option<&[String]> {
self.facets.as_deref().filter(|v| !v.is_empty())
}
pub fn into_index_query_federation(self) -> (IndexUid, SearchQuery, Option<FederationOptions>) {
let SearchQueryWithIndex {
index_uid,
@@ -484,7 +477,6 @@ impl SearchQueryWithIndex {
attributes_to_search_on,
hybrid,
ranking_score_threshold,
locales,
} = self;
(
index_uid,
@@ -514,7 +506,6 @@ impl SearchQueryWithIndex {
attributes_to_search_on,
hybrid,
ranking_score_threshold,
locales,
// do not use ..Default::default() here,
// rather add any missing field from `SearchQuery` to `SearchQueryWithIndex`
},
@@ -534,8 +525,8 @@ pub struct SimilarQuery {
pub limit: usize,
#[deserr(default, error = DeserrJsonError<InvalidSimilarFilter>)]
pub filter: Option<Value>,
#[deserr(error = DeserrJsonError<InvalidEmbedder>)]
pub embedder: String,
#[deserr(default, error = DeserrJsonError<InvalidEmbedder>, default)]
pub embedder: Option<String>,
#[deserr(default, error = DeserrJsonError<InvalidSimilarAttributesToRetrieve>)]
pub attributes_to_retrieve: Option<BTreeSet<String>>,
#[deserr(default, error = DeserrJsonError<InvalidSimilarRetrieveVectors>)]
@@ -789,35 +780,28 @@ fn prepare_search<'t>(
search.query(q);
}
}
SearchKind::SemanticOnly { embedder_name, embedder, quantized } => {
SearchKind::SemanticOnly { embedder_name, embedder } => {
let vector = match query.vector.clone() {
Some(vector) => vector,
None => {
let span = tracing::trace_span!(target: "search::vector", "embed_one");
let _entered = span.enter();
let deadline = std::time::Instant::now() + std::time::Duration::from_secs(10);
embedder
.embed_one(query.q.clone().unwrap(), Some(deadline))
.embed_one(query.q.clone().unwrap())
.map_err(milli::vector::Error::from)
.map_err(milli::Error::from)?
}
};
search.semantic(embedder_name.clone(), embedder.clone(), *quantized, Some(vector));
search.semantic(embedder_name.clone(), embedder.clone(), Some(vector));
}
SearchKind::Hybrid { embedder_name, embedder, quantized, semantic_ratio: _ } => {
SearchKind::Hybrid { embedder_name, embedder, semantic_ratio: _ } => {
if let Some(q) = &query.q {
search.query(q);
}
// will be embedded in hybrid search if necessary
search.semantic(
embedder_name.clone(),
embedder.clone(),
*quantized,
query.vector.clone(),
);
search.semantic(embedder_name.clone(), embedder.clone(), query.vector.clone());
}
}
@@ -882,10 +866,6 @@ fn prepare_search<'t>(
search.sort_criteria(sort);
}
if let Some(ref locales) = query.locales {
search.locales(locales.iter().copied().map(Into::into).collect());
}
Ok((search, is_finite_pagination, max_total_hits, offset))
}
@@ -937,7 +917,6 @@ pub fn perform_search(
highlight_pre_tag,
highlight_post_tag,
crop_marker,
locales,
// already used in prepare_search
vector: _,
hybrid: _,
@@ -962,7 +941,6 @@ pub fn perform_search(
sort,
show_ranking_score,
show_ranking_score_details,
locales: locales.map(|l| l.iter().copied().map(Into::into).collect()),
};
let documents = make_hits(
@@ -991,13 +969,39 @@ pub fn perform_search(
HitsInfo::OffsetLimit { limit, offset, estimated_total_hits: number_of_hits }
};
let (facet_distribution, facet_stats) = facets
.map(move |facets| {
compute_facet_distribution_stats(&facets, index, &rtxn, candidates, Route::Search)
})
.transpose()?
.map(|ComputedFacets { distribution, stats }| (distribution, stats))
.unzip();
let (facet_distribution, facet_stats) = match facets {
Some(ref fields) => {
let mut facet_distribution = index.facets_distribution(&rtxn);
let max_values_by_facet = index
.max_values_per_facet(&rtxn)
.map_err(milli::Error::from)?
.map(|x| x as usize)
.unwrap_or(DEFAULT_VALUES_PER_FACET);
facet_distribution.max_values_per_facet(max_values_by_facet);
let sort_facet_values_by =
index.sort_facet_values_by(&rtxn).map_err(milli::Error::from)?;
if fields.iter().all(|f| f != "*") {
let fields: Vec<_> =
fields.iter().map(|n| (n, sort_facet_values_by.get(n))).collect();
facet_distribution.facets(fields);
}
let distribution = facet_distribution
.candidates(candidates)
.default_order_by(sort_facet_values_by.get("*"))
.execute()?;
let stats = facet_distribution.compute_stats()?;
(Some(distribution), Some(stats))
}
None => (None, None),
};
let facet_stats = facet_stats.map(|stats| {
stats.into_iter().map(|(k, (min, max))| (k, FacetStats { min, max })).collect()
});
let result = SearchResult {
hits: documents,
@@ -1013,61 +1017,6 @@ pub fn perform_search(
Ok(result)
}
#[derive(Debug, Clone, Default, Serialize)]
pub struct ComputedFacets {
pub distribution: BTreeMap<String, IndexMap<String, u64>>,
pub stats: BTreeMap<String, FacetStats>,
}
enum Route {
Search,
MultiSearch,
}
fn compute_facet_distribution_stats<S: AsRef<str>>(
facets: &[S],
index: &Index,
rtxn: &RoTxn,
candidates: roaring::RoaringBitmap,
route: Route,
) -> Result<ComputedFacets, ResponseError> {
let mut facet_distribution = index.facets_distribution(rtxn);
let max_values_by_facet = index
.max_values_per_facet(rtxn)
.map_err(milli::Error::from)?
.map(|x| x as usize)
.unwrap_or(DEFAULT_VALUES_PER_FACET);
facet_distribution.max_values_per_facet(max_values_by_facet);
let sort_facet_values_by = index.sort_facet_values_by(rtxn).map_err(milli::Error::from)?;
// add specific facet if there is no placeholder
if facets.iter().all(|f| f.as_ref() != "*") {
let fields: Vec<_> =
facets.iter().map(|n| (n, sort_facet_values_by.get(n.as_ref()))).collect();
facet_distribution.facets(fields);
}
let distribution = facet_distribution
.candidates(candidates)
.default_order_by(sort_facet_values_by.get("*"))
.execute()
.map_err(|error| match (error, route) {
(
error @ milli::Error::UserError(milli::UserError::InvalidFacetsDistribution {
..
}),
Route::MultiSearch,
) => ResponseError::from_msg(error.to_string(), Code::InvalidMultiSearchFacets),
(error, _) => error.into(),
})?;
let stats = facet_distribution.compute_stats()?;
let stats = stats.into_iter().map(|(k, (min, max))| (k, FacetStats { min, max })).collect();
Ok(ComputedFacets { distribution, stats })
}
pub fn search_from_kind(
search_kind: SearchKind,
search: milli::Search<'_>,
@@ -1097,7 +1046,6 @@ struct AttributesFormat {
sort: Option<Vec<String>>,
show_ranking_score: bool,
show_ranking_score_details: bool,
locales: Option<Vec<Language>>,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
@@ -1145,16 +1093,19 @@ struct HitMaker<'a> {
show_ranking_score_details: bool,
sort: Option<Vec<String>>,
show_matches_position: bool,
locales: Option<Vec<Language>>,
}
impl<'a> HitMaker<'a> {
pub fn tokenizer<'b>(
script_lang_map: &'b HashMap<milli::tokenizer::Script, Vec<milli::tokenizer::Language>>,
dictionary: Option<&'b [&'b str]>,
separators: Option<&'b [&'b str]>,
) -> milli::tokenizer::Tokenizer<'b> {
let mut tokenizer_builder = TokenizerBuilder::default();
tokenizer_builder.create_char_map(true);
if !script_lang_map.is_empty() {
tokenizer_builder.allow_list(script_lang_map);
}
if let Some(separators) = separators {
tokenizer_builder.separators(separators);
@@ -1197,13 +1148,8 @@ impl<'a> HitMaker<'a> {
let vectors_is_hidden = match (&displayed_ids, vectors_fid) {
// displayed_ids is a wildcard, so `_vectors` can be displayed regardless of its fid
(None, _) => false,
// vectors has no fid, so check its explicit name
(Some(_), None) => {
// unwrap as otherwise we'd go to the first one
let displayed_names = index.displayed_fields(rtxn)?.unwrap();
!displayed_names
.contains(&milli::vector::parsed_vectors::RESERVED_VECTORS_FIELD_NAME)
}
// displayed_ids is a finite list, and `_vectors` cannot be part of it because it is not an existing field
(Some(_), None) => true,
// displayed_ids is a finit list, so hide if `_vectors` is not part of it
(Some(map), Some(vectors_fid)) => map.contains(&vectors_fid),
};
@@ -1272,7 +1218,6 @@ impl<'a> HitMaker<'a> {
show_ranking_score_details: format.show_ranking_score_details,
show_matches_position: format.show_matches_position,
sort: format.sort,
locales: format.locales,
})
}
@@ -1328,9 +1273,6 @@ impl<'a> HitMaker<'a> {
document.insert("_vectors".into(), vectors.into());
}
let localized_attributes =
self.index.localized_attributes_rules(self.rtxn)?.unwrap_or_default();
let (matches_position, formatted) = format_fields(
&displayed_document,
&self.fields_ids_map,
@@ -1338,8 +1280,6 @@ impl<'a> HitMaker<'a> {
&self.formatted_options,
self.show_matches_position,
&self.displayed_ids,
self.locales.as_deref(),
&localized_attributes,
)?;
if let Some(sort) = self.sort.as_ref() {
@@ -1372,6 +1312,8 @@ fn make_hits<'a>(
) -> Result<Vec<SearchHit>, MeilisearchHttpError> {
let mut documents = Vec::new();
let script_lang_map = index.script_language(rtxn)?;
let dictionary = index.dictionary(rtxn)?;
let dictionary: Option<Vec<_>> =
dictionary.as_ref().map(|x| x.iter().map(String::as_str).collect());
@@ -1379,7 +1321,8 @@ fn make_hits<'a>(
let separators: Option<Vec<_>> =
separators.as_ref().map(|x| x.iter().map(String::as_str).collect());
let tokenizer = HitMaker::tokenizer(dictionary.as_deref(), separators.as_deref());
let tokenizer =
HitMaker::tokenizer(&script_lang_map, dictionary.as_deref(), separators.as_deref());
let formatter_builder = HitMaker::formatter_builder(matching_words, tokenizer);
@@ -1398,7 +1341,6 @@ pub fn perform_facet_search(
facet_name: String,
search_kind: SearchKind,
features: RoFeatures,
locales: Option<Vec<Language>>,
) -> Result<FacetSearchResult, ResponseError> {
let before_search = Instant::now();
let rtxn = index.read_txn()?;
@@ -1407,20 +1349,6 @@ pub fn perform_facet_search(
None => TimeBudget::default(),
};
// In the faceted search context, we want to use the intersection between the locales provided by the user
// and the locales of the facet string.
// If the facet string is not localized, we **ignore** the locales provided by the user because the facet data has no locale.
// If the user does not provide locales, we use the locales of the facet string.
let localized_attributes = index.localized_attributes_rules(&rtxn)?.unwrap_or_default();
let localized_attributes_locales =
localized_attributes.into_iter().find(|attr| attr.match_str(&facet_name));
let locales = localized_attributes_locales.map(|attr| {
attr.locales
.into_iter()
.filter(|locale| locales.as_ref().map_or(true, |locales| locales.contains(locale)))
.collect()
});
let (search, _, _, _) =
prepare_search(index, &rtxn, &search_query, &search_kind, time_budget, features)?;
let mut facet_search = SearchForFacetValues::new(
@@ -1435,10 +1363,6 @@ pub fn perform_facet_search(
facet_search.max_values(max_facets as usize);
}
if let Some(locales) = locales {
facet_search.locales(locales);
}
Ok(FacetSearchResult {
facet_hits: facet_search.execute()?,
facet_query,
@@ -1451,7 +1375,6 @@ pub fn perform_similar(
query: SimilarQuery,
embedder_name: String,
embedder: Arc<Embedder>,
quantized: bool,
retrieve_vectors: RetrieveVectors,
features: RoFeatures,
) -> Result<SimilarResult, ResponseError> {
@@ -1480,16 +1403,8 @@ pub fn perform_similar(
));
};
let mut similar = milli::Similar::new(
internal_id,
offset,
limit,
index,
&rtxn,
embedder_name,
embedder,
quantized,
);
let mut similar =
milli::Similar::new(internal_id, offset, limit, index, &rtxn, embedder_name, embedder);
if let Some(ref filter) = query.filter {
if let Some(facets) = parse_filter(filter, Code::InvalidSimilarFilter, features)? {
@@ -1528,7 +1443,6 @@ pub fn perform_similar(
sort: None,
show_ranking_score,
show_ranking_score_details,
locales: None,
};
let hits = make_hits(
@@ -1710,7 +1624,6 @@ fn make_document(
Ok(document)
}
#[allow(clippy::too_many_arguments)]
fn format_fields(
document: &Document,
field_ids_map: &FieldsIdsMap,
@@ -1718,8 +1631,6 @@ fn format_fields(
formatted_options: &BTreeMap<FieldId, FormatOptions>,
compute_matches: bool,
displayable_ids: &BTreeSet<FieldId>,
locales: Option<&[Language]>,
localized_attributes: &[LocalizedAttributesRule],
) -> Result<(Option<MatchesPosition>, Document), MeilisearchHttpError> {
let mut matches_position = compute_matches.then(BTreeMap::new);
let mut document = document.clone();
@@ -1752,22 +1663,7 @@ fn format_fields(
.reduce(|acc, option| acc.merge(option));
let mut infos = Vec::new();
// if no locales has been provided, we try to find the locales in the localized_attributes.
let locales = locales.or_else(|| {
localized_attributes
.iter()
.find(|rule| rule.match_str(key))
.map(LocalizedAttributesRule::locales)
});
*value = format_value(
std::mem::take(value),
builder,
format,
&mut infos,
compute_matches,
locales,
);
*value = format_value(std::mem::take(value), builder, format, &mut infos, compute_matches);
if let Some(matches) = matches_position.as_mut() {
if !infos.is_empty() {
@@ -1792,11 +1688,10 @@ fn format_value(
format_options: Option<FormatOptions>,
infos: &mut Vec<MatchBounds>,
compute_matches: bool,
locales: Option<&[Language]>,
) -> Value {
match value {
Value::String(old_string) => {
let mut matcher = builder.build(&old_string, locales);
let mut matcher = builder.build(&old_string);
if compute_matches {
let matches = matcher.matches();
infos.extend_from_slice(&matches[..]);
@@ -1823,7 +1718,6 @@ fn format_value(
}),
infos,
compute_matches,
locales,
)
})
.collect(),
@@ -1843,7 +1737,6 @@ fn format_value(
}),
infos,
compute_matches,
locales,
),
)
})
@@ -1852,7 +1745,7 @@ fn format_value(
Value::Number(number) => {
let s = number.to_string();
let mut matcher = builder.build(&s, locales);
let mut matcher = builder.build(&s);
if compute_matches {
let matches = matcher.matches();
infos.extend_from_slice(&matches[..]);

View File

@@ -18,7 +18,6 @@
//! And should drop the Permit only once you have freed all the RAM consumed by the method.
use std::num::NonZeroUsize;
use std::time::Duration;
use rand::rngs::StdRng;
use rand::{Rng, SeedableRng};
@@ -30,31 +29,16 @@ use crate::error::MeilisearchHttpError;
pub struct SearchQueue {
sender: mpsc::Sender<oneshot::Sender<Permit>>,
capacity: usize,
/// If we have waited longer than this to get a permit, we should abort the search request entirely.
/// The client probably already closed the connection, but we have no way to find out.
time_to_abort: Duration,
}
/// You should only run search requests while holding this permit.
/// Once it's dropped, a new search request will be able to process.
/// You should always try to drop the permit yourself calling the `drop` async method on it.
#[derive(Debug)]
pub struct Permit {
sender: mpsc::Sender<()>,
}
impl Permit {
/// Drop the permit giving back on permit to the search queue.
pub async fn drop(self) {
// if the channel is closed then the whole instance is down
let _ = self.sender.send(()).await;
}
}
impl Drop for Permit {
/// The implicit drop implementation can still be called in multiple cases:
/// - We forgot to call the explicit one somewhere => this should be fixed on our side asap
/// - The future is cancelled while running and the permit dropped with it
fn drop(&mut self) {
let sender = self.sender.clone();
// if the channel is closed then the whole instance is down
@@ -69,11 +53,7 @@ impl SearchQueue {
let (sender, receiver) = mpsc::channel(1);
tokio::task::spawn(Self::run(capacity, paralellism, receiver));
Self { sender, capacity, time_to_abort: Duration::from_secs(60) }
}
pub fn with_time_to_abort(self, time_to_abort: Duration) -> Self {
Self { time_to_abort, ..self }
Self { sender, capacity }
}
/// This function is the main loop, it's in charge on scheduling which search request should execute first and
@@ -139,23 +119,9 @@ impl SearchQueue {
/// Returns a search `Permit`.
/// It should be dropped as soon as you've freed all the RAM associated with the search request being processed.
pub async fn try_get_search_permit(&self) -> Result<Permit, MeilisearchHttpError> {
let now = std::time::Instant::now();
let (sender, receiver) = oneshot::channel();
self.sender.send(sender).await.map_err(|_| MeilisearchHttpError::SearchLimiterIsDown)?;
let permit = receiver
.await
.map_err(|_| MeilisearchHttpError::TooManySearchRequests(self.capacity))?;
// If we've been for more than one minute to get a search permit, it's better to simply
// abort the search request than spending time processing something were the client
// most certainly exited or got a timeout a long time ago.
// We may find a better solution in https://github.com/actix/actix-web/issues/3462.
if now.elapsed() > self.time_to_abort {
permit.drop().await;
Err(MeilisearchHttpError::TooManySearchRequests(self.capacity))
} else {
Ok(permit)
}
receiver.await.map_err(|_| MeilisearchHttpError::TooManySearchRequests(self.capacity))
}
/// Returns `Ok(())` if everything seems normal.

View File

@@ -5,3 +5,63 @@ mod payload;
mod tenant_token;
mod tenant_token_multi_search;
use actix_web::http::StatusCode;
use crate::common::{Server, Value};
use crate::json;
impl Server {
pub fn use_api_key(&mut self, api_key: impl AsRef<str>) {
self.service.api_key = Some(api_key.as_ref().to_string());
}
/// Fetch and use the default admin key for nexts http requests.
pub async fn use_admin_key(&mut self, master_key: impl AsRef<str>) {
self.use_api_key(master_key);
let (response, code) = self.list_api_keys("").await;
assert_eq!(200, code, "{:?}", response);
let admin_key = &response["results"][1]["key"];
self.use_api_key(admin_key.as_str().unwrap());
}
pub async fn add_api_key(&self, content: Value) -> (Value, StatusCode) {
let url = "/keys";
self.service.post(url, content).await
}
pub async fn get_api_key(&self, key: impl AsRef<str>) -> (Value, StatusCode) {
let url = format!("/keys/{}", key.as_ref());
self.service.get(url).await
}
pub async fn patch_api_key(&self, key: impl AsRef<str>, content: Value) -> (Value, StatusCode) {
let url = format!("/keys/{}", key.as_ref());
self.service.patch(url, content).await
}
pub async fn list_api_keys(&self, params: &str) -> (Value, StatusCode) {
let url = format!("/keys{params}");
self.service.get(url).await
}
pub async fn delete_api_key(&self, key: impl AsRef<str>) -> (Value, StatusCode) {
let url = format!("/keys/{}", key.as_ref());
self.service.delete(url).await
}
pub async fn dummy_request(
&self,
method: impl AsRef<str>,
url: impl AsRef<str>,
) -> (Value, StatusCode) {
match method.as_ref() {
"POST" => self.service.post(url, json!({})).await,
"PUT" => self.service.put(url, json!({})).await,
"PATCH" => self.service.patch(url, json!({})).await,
"GET" => self.service.get(url).await,
"DELETE" => self.service.delete(url).await,
_ => unreachable!(),
}
}
}

View File

@@ -6,7 +6,7 @@ use once_cell::sync::Lazy;
use time::{Duration, OffsetDateTime};
use super::authorization::{ALL_ACTIONS, AUTHORIZATIONS};
use crate::common::{Server, Value, DOCUMENTS};
use crate::common::{Server, Value};
use crate::json;
fn generate_tenant_token(
@@ -22,6 +22,36 @@ fn generate_tenant_token(
.unwrap()
}
static DOCUMENTS: Lazy<Value> = Lazy::new(|| {
json!([
{
"title": "Shazam!",
"id": "287947",
"color": ["green", "blue"]
},
{
"title": "Captain Marvel",
"id": "299537",
"color": ["yellow", "blue"]
},
{
"title": "Escape Room",
"id": "522681",
"color": ["yellow", "red"]
},
{
"title": "How to Train Your Dragon: The Hidden World",
"id": "166428",
"color": ["green", "red"]
},
{
"title": "Glass",
"id": "450465",
"color": ["blue", "red"]
}
])
});
static INVALID_RESPONSE: Lazy<Value> = Lazy::new(|| {
json!({
"message": null,

View File

@@ -1,5 +1,4 @@
use std::fmt::Write;
use std::marker::PhantomData;
use std::panic::{catch_unwind, resume_unwind, UnwindSafe};
use std::time::Duration;
@@ -10,24 +9,19 @@ use urlencoding::encode as urlencode;
use super::encoder::Encoder;
use super::service::Service;
use super::Value;
use super::{Owned, Shared};
use crate::json;
pub struct Index<'a, State = Owned> {
pub struct Index<'a> {
pub uid: String,
pub service: &'a Service,
pub(super) encoder: Encoder,
pub(super) marker: PhantomData<State>,
pub encoder: Encoder,
}
impl<'a> Index<'a, Owned> {
pub fn to_shared(&self) -> Index<'a, Shared> {
Index {
uid: self.uid.clone(),
service: self.service,
encoder: self.encoder,
marker: PhantomData,
}
#[allow(dead_code)]
impl Index<'_> {
pub async fn get(&self) -> (Value, StatusCode) {
let url = format!("/indexes/{}", urlencode(self.uid.as_ref()));
self.service.get(url).await
}
pub async fn load_test_set(&self) -> u64 {
@@ -63,7 +57,11 @@ impl<'a> Index<'a, Owned> {
}
pub async fn create(&self, primary_key: Option<&str>) -> (Value, StatusCode) {
self._create(primary_key).await
let body = json!({
"uid": self.uid,
"primaryKey": primary_key,
});
self.service.post_encoded("/indexes", body, self.encoder).await
}
pub async fn update_raw(&self, body: Value) -> (Value, StatusCode) {
@@ -90,7 +88,13 @@ impl<'a> Index<'a, Owned> {
documents: Value,
primary_key: Option<&str>,
) -> (Value, StatusCode) {
self._add_documents(documents, primary_key).await
let url = match primary_key {
Some(key) => {
format!("/indexes/{}/documents?primaryKey={}", urlencode(self.uid.as_ref()), key)
}
None => format!("/indexes/{}/documents", urlencode(self.uid.as_ref())),
};
self.service.post_encoded(url, documents, self.encoder).await
}
pub async fn raw_add_documents(
@@ -132,11 +136,80 @@ impl<'a> Index<'a, Owned> {
}
}
pub async fn wait_task(&self, update_id: u64) -> Value {
// try several times to get status, or panic to not wait forever
let url = format!("/tasks/{}", update_id);
for _ in 0..100 {
let (response, status_code) = self.service.get(&url).await;
assert_eq!(200, status_code, "response: {}", response);
if response["status"] == "succeeded" || response["status"] == "failed" {
return response;
}
// wait 0.5 second.
sleep(Duration::from_millis(500)).await;
}
panic!("Timeout waiting for update id");
}
pub async fn get_task(&self, update_id: u64) -> (Value, StatusCode) {
let url = format!("/tasks/{}", update_id);
self.service.get(url).await
}
pub async fn list_tasks(&self) -> (Value, StatusCode) {
let url = format!("/tasks?indexUids={}", self.uid);
self.service.get(url).await
}
pub async fn filtered_tasks(
&self,
types: &[&str],
statuses: &[&str],
canceled_by: &[&str],
) -> (Value, StatusCode) {
let mut url = format!("/tasks?indexUids={}", self.uid);
if !types.is_empty() {
let _ = write!(url, "&types={}", types.join(","));
}
if !statuses.is_empty() {
let _ = write!(url, "&statuses={}", statuses.join(","));
}
if !canceled_by.is_empty() {
let _ = write!(url, "&canceledBy={}", canceled_by.join(","));
}
self.service.get(url).await
}
pub async fn get_document(&self, id: u64, options: Option<Value>) -> (Value, StatusCode) {
let mut url = format!("/indexes/{}/documents/{}", urlencode(self.uid.as_ref()), id);
if let Some(options) = options {
write!(url, "{}", yaup::to_string(&options).unwrap()).unwrap();
}
self.service.get(url).await
}
pub async fn get_document_by_filter(&self, payload: Value) -> (Value, StatusCode) {
let url = format!("/indexes/{}/documents/fetch", urlencode(self.uid.as_ref()));
self.service.post(url, payload).await
}
pub async fn get_all_documents_raw(&self, options: &str) -> (Value, StatusCode) {
let url = format!("/indexes/{}/documents{}", urlencode(self.uid.as_ref()), options);
self.service.get(url).await
}
pub async fn get_all_documents(&self, options: GetAllDocumentsOptions) -> (Value, StatusCode) {
let url = format!(
"/indexes/{}/documents{}",
urlencode(self.uid.as_ref()),
yaup::to_string(&options).unwrap()
);
self.service.get(url).await
}
pub async fn delete_document(&self, id: u64) -> (Value, StatusCode) {
let url = format!("/indexes/{}/documents/{}", urlencode(self.uid.as_ref()), id);
self.service.delete(url).await
@@ -164,8 +237,14 @@ impl<'a> Index<'a, Owned> {
self.service.post_encoded(url, body, self.encoder).await
}
pub async fn settings(&self) -> (Value, StatusCode) {
let url = format!("/indexes/{}/settings", urlencode(self.uid.as_ref()));
self.service.get(url).await
}
pub async fn update_settings(&self, settings: Value) -> (Value, StatusCode) {
self._update_settings(settings).await
let url = format!("/indexes/{}/settings", urlencode(self.uid.as_ref()));
self.service.patch_encoded(url, settings, self.encoder).await
}
pub async fn update_settings_displayed_attributes(
@@ -248,146 +327,6 @@ impl<'a> Index<'a, Owned> {
self.service.delete(url).await
}
pub async fn update_distinct_attribute(&self, value: Value) -> (Value, StatusCode) {
let url =
format!("/indexes/{}/settings/{}", urlencode(self.uid.as_ref()), "distinct-attribute");
self.service.put_encoded(url, value, self.encoder).await
}
}
impl<'a> Index<'a, Shared> {
/// You cannot modify the content of a shared index, thus the delete_document_by_filter call
/// must fail. If the task successfully enqueue itself, we'll wait for the task to finishes,
/// and if it succeed the function will panic.
pub async fn delete_document_by_filter_fail(&self, body: Value) -> (Value, StatusCode) {
let (mut task, code) = self._delete_document_by_filter(body).await;
if code.is_success() {
task = self.wait_task(task.uid()).await;
if task.is_success() {
panic!(
"`delete_document_by_filter_fail` succeeded: {}",
serde_json::to_string_pretty(&task).unwrap()
);
}
}
(task, code)
}
}
#[allow(dead_code)]
impl<State> Index<'_, State> {
pub async fn get(&self) -> (Value, StatusCode) {
let url = format!("/indexes/{}", urlencode(self.uid.as_ref()));
self.service.get(url).await
}
/// add_documents is not allowed on shared index but we need to use it to initialize
/// a bunch of very common indexes in `common/mod.rs`.
pub(super) async fn _add_documents(
&self,
documents: Value,
primary_key: Option<&str>,
) -> (Value, StatusCode) {
let url = match primary_key {
Some(key) => {
format!("/indexes/{}/documents?primaryKey={}", urlencode(self.uid.as_ref()), key)
}
None => format!("/indexes/{}/documents", urlencode(self.uid.as_ref())),
};
self.service.post_encoded(url, documents, self.encoder).await
}
pub(super) async fn _update_settings(&self, settings: Value) -> (Value, StatusCode) {
let url = format!("/indexes/{}/settings", urlencode(self.uid.as_ref()));
self.service.patch_encoded(url, settings, self.encoder).await
}
pub(super) async fn _delete_document_by_filter(&self, body: Value) -> (Value, StatusCode) {
let url = format!("/indexes/{}/documents/delete", urlencode(self.uid.as_ref()));
self.service.post_encoded(url, body, self.encoder).await
}
pub(super) async fn _create(&self, primary_key: Option<&str>) -> (Value, StatusCode) {
let body = json!({
"uid": self.uid,
"primaryKey": primary_key,
});
self.service.post_encoded("/indexes", body, self.encoder).await
}
pub async fn wait_task(&self, update_id: u64) -> Value {
// try several times to get status, or panic to not wait forever
let url = format!("/tasks/{}", update_id);
for _ in 0..100 {
let (response, status_code) = self.service.get(&url).await;
assert_eq!(200, status_code, "response: {}", response);
if response["status"] == "succeeded" || response["status"] == "failed" {
return response;
}
// wait 0.5 second.
sleep(Duration::from_millis(500)).await;
}
panic!("Timeout waiting for update id");
}
pub async fn get_task(&self, update_id: u64) -> (Value, StatusCode) {
let url = format!("/tasks/{}", update_id);
self.service.get(url).await
}
pub async fn filtered_tasks(
&self,
types: &[&str],
statuses: &[&str],
canceled_by: &[&str],
) -> (Value, StatusCode) {
let mut url = format!("/tasks?indexUids={}", self.uid);
if !types.is_empty() {
let _ = write!(url, "&types={}", types.join(","));
}
if !statuses.is_empty() {
let _ = write!(url, "&statuses={}", statuses.join(","));
}
if !canceled_by.is_empty() {
let _ = write!(url, "&canceledBy={}", canceled_by.join(","));
}
self.service.get(url).await
}
pub async fn get_document(&self, id: u64, options: Option<Value>) -> (Value, StatusCode) {
let mut url = format!("/indexes/{}/documents/{}", urlencode(self.uid.as_ref()), id);
if let Some(options) = options {
write!(url, "{}", yaup::to_string(&options).unwrap()).unwrap();
}
self.service.get(url).await
}
pub async fn get_document_by_filter(&self, payload: Value) -> (Value, StatusCode) {
let url = format!("/indexes/{}/documents/fetch", urlencode(self.uid.as_ref()));
self.service.post(url, payload).await
}
pub async fn get_all_documents_raw(&self, options: &str) -> (Value, StatusCode) {
let url = format!("/indexes/{}/documents{}", urlencode(self.uid.as_ref()), options);
self.service.get(url).await
}
pub async fn get_all_documents(&self, options: GetAllDocumentsOptions) -> (Value, StatusCode) {
let url = format!(
"/indexes/{}/documents{}",
urlencode(self.uid.as_ref()),
yaup::to_string(&options).unwrap()
);
self.service.get(url).await
}
pub async fn settings(&self) -> (Value, StatusCode) {
let url = format!("/indexes/{}/settings", urlencode(self.uid.as_ref()));
self.service.get(url).await
}
pub async fn stats(&self) -> (Value, StatusCode) {
let url = format!("/indexes/{}/stats", urlencode(self.uid.as_ref()));
self.service.get(url).await
@@ -472,6 +411,12 @@ impl<State> Index<'_, State> {
self.service.post_encoded(url, query, self.encoder).await
}
pub async fn update_distinct_attribute(&self, value: Value) -> (Value, StatusCode) {
let url =
format!("/indexes/{}/settings/{}", urlencode(self.uid.as_ref()), "distinct-attribute");
self.service.put_encoded(url, value, self.encoder).await
}
pub async fn get_distinct_attribute(&self) -> (Value, StatusCode) {
let url =
format!("/indexes/{}/settings/{}", urlencode(self.uid.as_ref()), "distinct-attribute");

View File

@@ -8,16 +8,9 @@ use std::fmt::{self, Display};
#[allow(unused)]
pub use index::GetAllDocumentsOptions;
use meili_snap::json_string;
use once_cell::sync::Lazy;
use serde::{Deserialize, Serialize};
#[allow(unused)]
pub use server::{default_settings, Server};
use tokio::sync::OnceCell;
use crate::common::index::Index;
pub enum Shared {}
pub enum Owned {}
#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Eq)]
pub struct Value(pub serde_json::Value);
@@ -34,20 +27,10 @@ impl Value {
}
}
/// Return `true` if the `status` field is set to `succeeded`.
/// Panic if the `status` field doesn't exists.
#[track_caller]
pub fn is_success(&self) -> bool {
if !self["status"].is_string() {
panic!("Called `is_success` on {}", serde_json::to_string_pretty(&self.0).unwrap());
}
self["status"] == serde_json::Value::String(String::from("succeeded"))
}
// Panic if the json doesn't contain the `status` field set to "succeeded"
#[track_caller]
pub fn succeeded(&self) -> &Self {
if !self.is_success() {
if self["status"] != serde_json::Value::String(String::from("succeeded")) {
panic!("Called succeeded on {}", serde_json::to_string_pretty(&self.0).unwrap());
}
self
@@ -97,15 +80,7 @@ impl Display for Value {
write!(
f,
"{}",
json_string!(self, {
".uid" => "[uid]",
".enqueuedAt" => "[date]",
".startedAt" => "[date]",
".finishedAt" => "[date]",
".duration" => "[duration]",
".processingTimeMs" => "[duration]",
".details.embedders.*.url" => "[url]"
})
json_string!(self, { ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]", ".duration" => "[duration]", ".processingTimeMs" => "[duration]" })
)
}
}
@@ -139,253 +114,3 @@ macro_rules! test_post_get_search {
.map_err(|e| panic!("panic in post route: {:?}", e.downcast_ref::<&str>().unwrap()));
};
}
pub async fn shared_does_not_exists_index() -> &'static Index<'static, Shared> {
static INDEX: Lazy<Index<'static, Shared>> = Lazy::new(|| {
let server = Server::new_shared();
server._index("DOES_NOT_EXISTS").to_shared()
});
&INDEX
}
pub async fn shared_empty_index() -> &'static Index<'static, Shared> {
static INDEX: OnceCell<Index<'static, Shared>> = OnceCell::const_new();
INDEX
.get_or_init(|| async {
let server = Server::new_shared();
let index = server._index("EMPTY_INDEX").to_shared();
let (response, _code) = index._create(None).await;
index.wait_task(response.uid()).await.succeeded();
index
})
.await
}
pub static DOCUMENTS: Lazy<Value> = Lazy::new(|| {
json!([
{
"title": "Shazam!",
"id": "287947",
"color": ["green", "blue"],
"_vectors": { "manual": [1, 2, 3]},
},
{
"title": "Captain Marvel",
"id": "299537",
"color": ["yellow", "blue"],
"_vectors": { "manual": [1, 2, 54] },
},
{
"title": "Escape Room",
"id": "522681",
"color": ["yellow", "red"],
"_vectors": { "manual": [10, -23, 32] },
},
{
"title": "How to Train Your Dragon: The Hidden World",
"id": "166428",
"color": ["green", "red"],
"_vectors": { "manual": [-100, 231, 32] },
},
{
"title": "Gläss",
"id": "450465",
"color": ["blue", "red"],
"_vectors": { "manual": [-100, 340, 90] },
}
])
});
pub async fn shared_index_with_documents() -> &'static Index<'static, Shared> {
static INDEX: OnceCell<Index<'static, Shared>> = OnceCell::const_new();
INDEX.get_or_init(|| async {
let server = Server::new_shared();
let index = server._index("SHARED_DOCUMENTS").to_shared();
let documents = DOCUMENTS.clone();
let (response, _code) = index._add_documents(documents, None).await;
index.wait_task(response.uid()).await.succeeded();
let (response, _code) = index
._update_settings(
json!({"filterableAttributes": ["id", "title"], "sortableAttributes": ["id", "title"]}),
)
.await;
index.wait_task(response.uid()).await.succeeded();
index
}).await
}
pub static SCORE_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
json!([
{
"title": "Batman the dark knight returns: Part 1",
"id": "A",
},
{
"title": "Batman the dark knight returns: Part 2",
"id": "B",
},
{
"title": "Batman Returns",
"id": "C",
},
{
"title": "Batman",
"id": "D",
},
{
"title": "Badman",
"id": "E",
}
])
});
pub static NESTED_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
json!([
{
"id": 852,
"father": "jean",
"mother": "michelle",
"doggos": [
{
"name": "bobby",
"age": 2,
},
{
"name": "buddy",
"age": 4,
},
],
"cattos": "pésti",
"_vectors": { "manual": [1, 2, 3]},
},
{
"id": 654,
"father": "pierre",
"mother": "sabine",
"doggos": [
{
"name": "gros bill",
"age": 8,
},
],
"cattos": ["simba", "pestiféré"],
"_vectors": { "manual": [1, 2, 54] },
},
{
"id": 750,
"father": "romain",
"mother": "michelle",
"cattos": ["enigma"],
"_vectors": { "manual": [10, 23, 32] },
},
{
"id": 951,
"father": "jean-baptiste",
"mother": "sophie",
"doggos": [
{
"name": "turbo",
"age": 5,
},
{
"name": "fast",
"age": 6,
},
],
"cattos": ["moumoute", "gomez"],
"_vectors": { "manual": [10, 23, 32] },
},
])
});
pub async fn shared_index_with_nested_documents() -> &'static Index<'static, Shared> {
static INDEX: OnceCell<Index<'static, Shared>> = OnceCell::const_new();
INDEX.get_or_init(|| async {
let server = Server::new_shared();
let index = server._index("SHARED_NESTED_DOCUMENTS").to_shared();
let documents = NESTED_DOCUMENTS.clone();
let (response, _code) = index._add_documents(documents, None).await;
index.wait_task(response.uid()).await.succeeded();
let (response, _code) = index
._update_settings(
json!({"filterableAttributes": ["father", "doggos"], "sortableAttributes": ["doggos"]}),
)
.await;
index.wait_task(response.uid()).await.succeeded();
index
}).await
}
pub static FRUITS_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
json!([
{
"name": "Exclusive sale: green apple",
"id": "green-apple-boosted",
"BOOST": true
},
{
"name": "Pear",
"id": "pear",
},
{
"name": "Red apple gala",
"id": "red-apple-gala",
},
{
"name": "Exclusive sale: Red Tomato",
"id": "red-tomatoes-boosted",
"BOOST": true
},
{
"name": "Exclusive sale: Red delicious apple",
"id": "red-delicious-boosted",
"BOOST": true,
}
])
});
pub static VECTOR_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
json!([
{
"id": "A",
"description": "the dog barks at the cat",
"_vectors": {
// dimensions [canine, feline, young]
"animal": [0.9, 0.8, 0.05],
// dimensions [negative/positive, energy]
"sentiment": [-0.1, 0.55]
}
},
{
"id": "B",
"description": "the kitten scratched the beagle",
"_vectors": {
// dimensions [canine, feline, young]
"animal": [0.8, 0.9, 0.5],
// dimensions [negative/positive, energy]
"sentiment": [-0.2, 0.65]
}
},
{
"id": "C",
"description": "the dog had to stay alone today",
"_vectors": {
// dimensions [canine, feline, young]
"animal": [0.85, 0.02, 0.1],
// dimensions [negative/positive, energy]
"sentiment": [-1.0, 0.1]
}
},
{
"id": "D",
"description": "the little boy pets the puppy",
"_vectors": {
// dimensions [canine, feline, young]
"animal": [0.8, 0.09, 0.8],
// dimensions [negative/positive, energy]
"sentiment": [0.8, 0.3]
}
},
])
});

View File

@@ -1,8 +1,6 @@
#![allow(dead_code)]
use std::marker::PhantomData;
use std::path::Path;
use std::str::FromStr;
use std::time::Duration;
use actix_http::body::MessageBody;
@@ -10,35 +8,29 @@ use actix_web::dev::ServiceResponse;
use actix_web::http::StatusCode;
use byte_unit::{Byte, Unit};
use clap::Parser;
use meilisearch::option::{IndexerOpts, MaxMemory, MaxThreads, Opt};
use meilisearch::setup_meilisearch;
use meilisearch::option::{IndexerOpts, MaxMemory, Opt};
use meilisearch::{analytics, create_app, setup_meilisearch, SubscriberForSecondLayer};
use once_cell::sync::Lazy;
use tempfile::TempDir;
use tokio::sync::OnceCell;
use tokio::time::sleep;
use uuid::Uuid;
use tracing::level_filters::LevelFilter;
use tracing_subscriber::Layer;
use super::index::Index;
use super::service::Service;
use super::{Owned, Shared};
use crate::common::encoder::Encoder;
use crate::common::Value;
use crate::json;
pub struct Server<State = Owned> {
pub struct Server {
pub service: Service,
// hold ownership to the tempdir while we use the server instance.
_dir: Option<TempDir>,
_marker: PhantomData<State>,
}
pub static TEST_TEMP_DIR: Lazy<TempDir> = Lazy::new(|| TempDir::new().unwrap());
impl Server<Owned> {
fn into_shared(self) -> Server<Shared> {
Server { service: self.service, _dir: self._dir, _marker: PhantomData }
}
impl Server {
pub async fn new() -> Self {
let dir = TempDir::new().unwrap();
@@ -53,7 +45,7 @@ impl Server<Owned> {
let (index_scheduler, auth) = setup_meilisearch(&options).unwrap();
let service = Service { index_scheduler, auth, options, api_key: None };
Server { service, _dir: Some(dir), _marker: PhantomData }
Server { service, _dir: Some(dir) }
}
pub async fn new_auth_with_options(mut options: Opt, dir: TempDir) -> Self {
@@ -68,7 +60,7 @@ impl Server<Owned> {
let (index_scheduler, auth) = setup_meilisearch(&options).unwrap();
let service = Service { index_scheduler, auth, options, api_key: None };
Server { service, _dir: Some(dir), _marker: PhantomData }
Server { service, _dir: Some(dir) }
}
pub async fn new_auth() -> Self {
@@ -81,35 +73,38 @@ impl Server<Owned> {
let (index_scheduler, auth) = setup_meilisearch(&options)?;
let service = Service { index_scheduler, auth, options, api_key: None };
Ok(Server { service, _dir: None, _marker: PhantomData })
Ok(Server { service, _dir: None })
}
pub fn use_api_key(&mut self, api_key: impl AsRef<str>) {
self.service.api_key = Some(api_key.as_ref().to_string());
}
pub async fn init_web_app(
&self,
) -> impl actix_web::dev::Service<
actix_http::Request,
Response = ServiceResponse<impl MessageBody>,
Error = actix_web::Error,
> {
let (_route_layer, route_layer_handle) =
tracing_subscriber::reload::Layer::new(None.with_filter(
tracing_subscriber::filter::Targets::new().with_target("", LevelFilter::OFF),
));
let (_stderr_layer, stderr_layer_handle) = tracing_subscriber::reload::Layer::new(
(Box::new(
tracing_subscriber::fmt::layer()
.with_span_events(tracing_subscriber::fmt::format::FmtSpan::CLOSE),
)
as Box<dyn tracing_subscriber::Layer<SubscriberForSecondLayer> + Send + Sync>)
.with_filter(tracing_subscriber::filter::Targets::new()),
);
/// Fetch and use the default admin key for nexts http requests.
pub async fn use_admin_key(&mut self, master_key: impl AsRef<str>) {
self.use_api_key(master_key);
let (response, code) = self.list_api_keys("").await;
assert_eq!(200, code, "{:?}", response);
let admin_key = &response["results"][1]["key"];
self.use_api_key(admin_key.as_str().unwrap());
}
pub async fn add_api_key(&self, content: Value) -> (Value, StatusCode) {
let url = "/keys";
self.service.post(url, content).await
}
pub async fn patch_api_key(&self, key: impl AsRef<str>, content: Value) -> (Value, StatusCode) {
let url = format!("/keys/{}", key.as_ref());
self.service.patch(url, content).await
}
pub async fn delete_api_key(&self, key: impl AsRef<str>) -> (Value, StatusCode) {
let url = format!("/keys/{}", key.as_ref());
self.service.delete(url).await
actix_web::test::init_service(create_app(
self.service.index_scheduler.clone().into(),
self.service.auth.clone().into(),
self.service.options.clone(),
(route_layer_handle, stderr_layer_handle),
analytics::MockAnalytics::new(&self.service.options),
true,
))
.await
}
/// Returns a view to an index. There is no guarantee that the index exists.
@@ -122,12 +117,15 @@ impl Server<Owned> {
}
pub fn index_with_encoder(&self, uid: impl AsRef<str>, encoder: Encoder) -> Index<'_> {
Index {
uid: uid.as_ref().to_string(),
service: &self.service,
encoder,
marker: PhantomData,
}
Index { uid: uid.as_ref().to_string(), service: &self.service, encoder }
}
pub async fn multi_search(&self, queries: Value) -> (Value, StatusCode) {
self.service.post("/multi-search", queries).await
}
pub async fn list_indexes_raw(&self, parameters: &str) -> (Value, StatusCode) {
self.service.get(format!("/indexes{parameters}")).await
}
pub async fn list_indexes(
@@ -151,6 +149,10 @@ impl Server<Owned> {
}
}
pub async fn version(&self) -> (Value, StatusCode) {
self.service.get("/version").await
}
pub async fn stats(&self) -> (Value, StatusCode) {
self.service.get("/stats").await
}
@@ -159,174 +161,12 @@ impl Server<Owned> {
self.service.get("/tasks").await
}
pub async fn set_features(&self, value: Value) -> (Value, StatusCode) {
self.service.patch("/experimental-features", value).await
}
pub async fn get_metrics(&self) -> (Value, StatusCode) {
self.service.get("/metrics").await
}
}
impl Server<Shared> {
fn init_new_shared_instance() -> Server<Shared> {
let dir = TempDir::new().unwrap();
if cfg!(windows) {
std::env::set_var("TMP", TEST_TEMP_DIR.path());
} else {
std::env::set_var("TMPDIR", TEST_TEMP_DIR.path());
}
let options = default_settings(dir.path());
let (index_scheduler, auth) = setup_meilisearch(&options).unwrap();
let service = Service { index_scheduler, auth, api_key: None, options };
Server { service, _dir: Some(dir), _marker: PhantomData }
}
pub fn new_shared() -> &'static Server<Shared> {
static SERVER: Lazy<Server<Shared>> = Lazy::new(Server::init_new_shared_instance);
&SERVER
}
pub async fn new_shared_with_admin_key() -> &'static Server<Shared> {
static SERVER: OnceCell<Server<Shared>> = OnceCell::const_new();
SERVER
.get_or_init(|| async {
let mut server = Server::new_auth().await;
server.use_admin_key("MASTER_KEY").await;
server.into_shared()
})
.await
}
/// You shouldn't access random indexes on a shared instance thus this method
/// must fail.
pub async fn get_index_fail(&self, uid: impl AsRef<str>) -> (Value, StatusCode) {
let url = format!("/indexes/{}", urlencoding::encode(uid.as_ref()));
let (value, code) = self.service.get(url).await;
if code.is_success() {
panic!("`get_index_fail` succeeded with uid: {}", uid.as_ref());
}
(value, code)
}
pub async fn delete_index_fail(&self, uid: impl AsRef<str>) -> (Value, StatusCode) {
let url = format!("/indexes/{}", urlencoding::encode(uid.as_ref()));
let (value, code) = self.service.delete(url).await;
if code.is_success() {
panic!("`delete_index_fail` succeeded with uid: {}", uid.as_ref());
}
(value, code)
}
pub async fn update_raw_index_fail(
&self,
uid: impl AsRef<str>,
body: Value,
) -> (Value, StatusCode) {
let url = format!("/indexes/{}", urlencoding::encode(uid.as_ref()));
let (value, code) = self.service.patch_encoded(url, body, Encoder::Plain).await;
if code.is_success() {
panic!("`update_raw_index_fail` succeeded with uid: {}", uid.as_ref());
}
(value, code)
}
/// Since this call updates the state of the instance, it must fail.
/// If it doesn't fail, the test will panic to help you debug what
/// is going on.
pub async fn create_index_fail(&self, body: Value) -> (Value, StatusCode) {
let (mut task, code) = self._create_index(body).await;
if code.is_success() {
task = self.wait_task(task.uid()).await;
if task.is_success() {
panic!(
"`create_index_fail` succeeded: {}",
serde_json::to_string_pretty(&task).unwrap()
);
}
}
(task, code)
}
}
impl<State> Server<State> {
pub async fn init_web_app(
&self,
) -> impl actix_web::dev::Service<
actix_http::Request,
Response = ServiceResponse<impl MessageBody>,
Error = actix_web::Error,
> {
self.service.init_web_app().await
}
pub async fn list_api_keys(&self, params: &str) -> (Value, StatusCode) {
let url = format!("/keys{params}");
self.service.get(url).await
}
pub async fn dummy_request(
&self,
method: impl AsRef<str>,
url: impl AsRef<str>,
) -> (Value, StatusCode) {
match method.as_ref() {
"POST" => self.service.post(url, json!({})).await,
"PUT" => self.service.put(url, json!({})).await,
"PATCH" => self.service.patch(url, json!({})).await,
"GET" => self.service.get(url).await,
"DELETE" => self.service.delete(url).await,
_ => unreachable!(),
}
}
pub async fn get_api_key(&self, key: impl AsRef<str>) -> (Value, StatusCode) {
let url = format!("/keys/{}", key.as_ref());
self.service.get(url).await
}
pub(super) fn _index(&self, uid: impl AsRef<str>) -> Index<'_> {
Index {
uid: uid.as_ref().to_string(),
service: &self.service,
encoder: Encoder::Plain,
marker: PhantomData,
}
}
/// Returns a view to an index. There is no guarantee that the index exists.
pub fn unique_index(&self) -> Index<'_> {
let uuid = Uuid::new_v4();
Index {
uid: uuid.to_string(),
service: &self.service,
encoder: Encoder::Plain,
marker: PhantomData,
}
}
pub(super) async fn _create_index(&self, body: Value) -> (Value, StatusCode) {
self.service.post("/indexes", body).await
}
pub async fn multi_search(&self, queries: Value) -> (Value, StatusCode) {
self.service.post("/multi-search", queries).await
}
pub async fn list_indexes_raw(&self, parameters: &str) -> (Value, StatusCode) {
self.service.get(format!("/indexes{parameters}")).await
}
pub async fn tasks_filter(&self, filter: &str) -> (Value, StatusCode) {
self.service.get(format!("/tasks?{}", filter)).await
}
pub async fn version(&self) -> (Value, StatusCode) {
self.service.get("/version").await
pub async fn get_dump_status(&self, uid: &str) -> (Value, StatusCode) {
self.service.get(format!("/dumps/{}/status", uid)).await
}
pub async fn create_dump(&self) -> (Value, StatusCode) {
@@ -374,6 +214,14 @@ impl<State> Server<State> {
pub async fn get_features(&self) -> (Value, StatusCode) {
self.service.get("/experimental-features").await
}
pub async fn set_features(&self, value: Value) -> (Value, StatusCode) {
self.service.patch("/experimental-features", value).await
}
pub async fn get_metrics(&self) -> (Value, StatusCode) {
self.service.get("/metrics").await
}
}
pub fn default_settings(dir: impl AsRef<Path>) -> Opt {
@@ -381,6 +229,7 @@ pub fn default_settings(dir: impl AsRef<Path>) -> Opt {
db_path: dir.as_ref().join("db"),
dump_dir: dir.as_ref().join("dumps"),
env: "development".to_owned(),
#[cfg(feature = "analytics")]
no_analytics: true,
max_index_size: Byte::from_u64_with_unit(100, Unit::MiB).unwrap(),
max_task_db_size: Byte::from_u64_with_unit(1, Unit::GiB).unwrap(),
@@ -390,8 +239,7 @@ pub fn default_settings(dir: impl AsRef<Path>) -> Opt {
// memory has to be unlimited because several meilisearch are running in test context.
max_indexing_memory: MaxMemory::unlimited(),
skip_index_budget: true,
// Having 2 threads makes the tests way faster
max_indexing_threads: MaxThreads::from_str("2").unwrap(),
..Parser::parse_from(None as Option<&str>)
},
experimental_enable_metrics: false,
..Parser::parse_from(None as Option<&str>)

View File

@@ -1,17 +1,11 @@
use std::num::NonZeroUsize;
use std::sync::Arc;
use actix_web::body::MessageBody;
use actix_web::dev::ServiceResponse;
use actix_web::http::header::ContentType;
use actix_web::http::StatusCode;
use actix_web::test;
use actix_web::test::TestRequest;
use actix_web::web::Data;
use index_scheduler::IndexScheduler;
use meilisearch::analytics::Analytics;
use meilisearch::search_queue::SearchQueue;
use meilisearch::{create_app, Opt, SubscriberForSecondLayer};
use meilisearch::{analytics, create_app, Opt, SubscriberForSecondLayer};
use meilisearch_auth::AuthController;
use tracing::level_filters::LevelFilter;
use tracing_subscriber::Layer;
@@ -112,13 +106,7 @@ impl Service {
self.request(req).await
}
pub async fn init_web_app(
&self,
) -> impl actix_web::dev::Service<
actix_http::Request,
Response = ServiceResponse<impl MessageBody>,
Error = actix_web::Error,
> {
pub async fn request(&self, mut req: test::TestRequest) -> (Value, StatusCode) {
let (_route_layer, route_layer_handle) =
tracing_subscriber::reload::Layer::new(None.with_filter(
tracing_subscriber::filter::Targets::new().with_target("", LevelFilter::OFF),
@@ -131,25 +119,16 @@ impl Service {
as Box<dyn tracing_subscriber::Layer<SubscriberForSecondLayer> + Send + Sync>)
.with_filter(tracing_subscriber::filter::Targets::new()),
);
let search_queue = SearchQueue::new(
self.options.experimental_search_queue_size,
NonZeroUsize::new(1).unwrap(),
);
actix_web::test::init_service(create_app(
let app = test::init_service(create_app(
self.index_scheduler.clone().into(),
self.auth.clone().into(),
Data::new(search_queue),
self.options.clone(),
(route_layer_handle, stderr_layer_handle),
Data::new(Analytics::no_analytics()),
analytics::MockAnalytics::new(&self.options),
true,
))
.await
}
pub async fn request(&self, mut req: test::TestRequest) -> (Value, StatusCode) {
let app = self.init_web_app().await;
.await;
if let Some(api_key) = &self.api_key {
req = req.insert_header(("Authorization", ["Bearer ", api_key].concat()));

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