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11 Commits

Author SHA1 Message Date
Clément Renault
deee22b5da Use an experimental feature to avoid copying 64k in memory 2024-07-10 16:42:01 +02:00
Clément Renault
fd8c90b858 Clean up some parts of the code 2024-07-10 16:37:21 +02:00
Clément Renault
4ceade43cd Make the tests pass 2024-07-10 16:37:21 +02:00
Clément Renault
e95e47d258 Simplify optional document decompression usage 2024-07-10 16:37:21 +02:00
Clément Renault
e18b06ddda Use the zstd library directly to be able to define the compression level 2024-07-10 16:37:20 +02:00
Clément Renault
b15e8aacb6 Fix merging of documents to support compressed documents 2024-07-10 16:34:45 +02:00
Clément Renault
767f20e30d Generate the dictionary from the first 10k documents 2024-07-10 16:34:45 +02:00
Clément Renault
0d63d02ab2 Prefer encoding the output size when compressing documents 2024-07-10 16:33:39 +02:00
Clément Renault
bf5d9f68fa First version compressing the documents 2024-07-10 16:33:39 +02:00
Clément Renault
e9d6b4222b First compiling version with compressed documents iterators 2024-07-10 16:33:39 +02:00
Clément Renault
2f0567fad1 Introduce the compressed obkv readers and writers 2024-07-10 16:32:22 +02:00
211 changed files with 9790 additions and 28293 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

@@ -1,5 +1,6 @@
name: Look for flaky tests
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
on:
workflow_dispatch:
schedule:
@@ -9,15 +10,15 @@ jobs:
flaky:
runs-on: ubuntu-latest
container:
# Use ubuntu-20.04 to compile with glibc 2.28
image: ubuntu:20.04
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
image: ubuntu:18.04
steps:
- uses: actions/checkout@v3
- name: Install needed dependencies
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

@@ -1,5 +1,6 @@
name: Run the indexing fuzzer
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
on:
push:
branches:
@@ -12,7 +13,7 @@ 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

@@ -15,17 +15,19 @@ jobs:
debian:
name: Publish debian packagge
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
runs-on: ubuntu-latest
needs: check-version
container:
# Use ubuntu-20.04 to compile with glibc 2.28
image: ubuntu:20.04
# Use ubuntu-18.04 to compile with glibc 2.27
image: ubuntu:18.04
steps:
- name: Install needed dependencies
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

@@ -35,17 +35,19 @@ jobs:
publish-linux:
name: Publish binary for Linux
runs-on: ubuntu-latest
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
needs: check-version
container:
# Use ubuntu-20.04 to compile with glibc 2.28
image: ubuntu:20.04
# Use ubuntu-18.04 to compile with glibc 2.27
image: ubuntu:18.04
steps:
- uses: actions/checkout@v3
- name: Install needed dependencies
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 +77,7 @@ 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 +103,7 @@ 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: ${{ matrix.target }}
@@ -125,10 +127,10 @@ jobs:
runs-on: ubuntu-latest
needs: check-version
env:
DEBIAN_FRONTEND: noninteractive
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
container:
# Use ubuntu-20.04 to compile with glibc 2.28
image: ubuntu:20.04
# Use ubuntu-18.04 to compile with glibc 2.27
image: ubuntu:18.04
strategy:
matrix:
include:
@@ -148,7 +150,7 @@ jobs:
add-apt-repository "deb [arch=$(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 }}
@@ -162,9 +164,6 @@ jobs:
echo '[target.aarch64-unknown-linux-gnu]' >> ~/.cargo/config
echo 'linker = "aarch64-linux-gnu-gcc"' >> ~/.cargo/config
echo 'JEMALLOC_SYS_WITH_LG_PAGE=16' >> $GITHUB_ENV
- name: Install a default toolchain that will be used to build cargo cross
run: |
rustup default stable
- name: Cargo build
uses: actions-rs/cargo@v1
with:

View File

@@ -19,11 +19,13 @@ env:
jobs:
test-linux:
name: Tests on ubuntu-20.04
name: Tests on ubuntu-18.04
runs-on: ubuntu-latest
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
container:
# Use ubuntu-20.04 to compile with glibc 2.28
image: ubuntu:20.04
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
image: ubuntu:18.04
steps:
- uses: actions/checkout@v3
- name: Install needed dependencies
@@ -31,7 +33,7 @@ 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 +58,7 @@ 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:
@@ -71,9 +73,11 @@ jobs:
test-all-features:
name: Tests almost all features
runs-on: ubuntu-latest
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
container:
# Use ubuntu-20.04 to compile with glibc 2.28
image: ubuntu:20.04
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
image: ubuntu:18.04
if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
steps:
- uses: actions/checkout@v3
@@ -81,7 +85,7 @@ 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)"
@@ -91,9 +95,11 @@ jobs:
test-disabled-tokenization:
name: Test disabled tokenization
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
runs-on: ubuntu-latest
container:
image: ubuntu:20.04
image: ubuntu:18.04
if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
steps:
- uses: actions/checkout@v3
@@ -101,7 +107,7 @@ 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
@@ -115,17 +121,19 @@ jobs:
# We run tests in debug also, to make sure that the debug_assertions are hit
test-debug:
name: Run tests in debug
env:
ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION: true
runs-on: ubuntu-latest
container:
# Use ubuntu-20.04 to compile with glibc 2.28
image: ubuntu:20.04
# Use ubuntu-18.04 to compile with glibc 2.27, which are the production expectations
image: ubuntu:18.04
steps:
- uses: actions/checkout@v3
- name: Install needed dependencies
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 +147,7 @@ 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 +164,7 @@ 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

View File

@@ -62,10 +62,6 @@ We recommend using the standard `$HOME/.cache/lindera` directory:
export LINDERA_CACHE=$HOME/.cache/lindera
```
Furthermore, you can improve incremental compilation by setting the `MEILI_NO_VERGEN` environment variable.
Setting this variable will prevent the Meilisearch binary from being rebuilt each time the directory that hosts the Meilisearch repository changes.
Do not enable this environment variable for production builds (as it will break the `version` route, among other things).
#### Snapshot-based tests
We are using [insta](https://insta.rs) to perform snapshot-based testing.

502
Cargo.lock generated

File diff suppressed because it is too large Load Diff

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@@ -22,7 +22,7 @@ members = [
]
[workspace.package]
version = "1.11.1"
version = "1.9.0"
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

@@ -1,5 +1,5 @@
status = [
'Tests on ubuntu-20.04',
'Tests on ubuntu-18.04',
'Tests on macos-12',
'Tests on windows-2022',
'Run Clippy',

View File

@@ -5,13 +5,6 @@ fn main() {
}
fn emit_git_variables() -> anyhow::Result<()> {
println!("cargo::rerun-if-env-changed=MEILI_NO_VERGEN");
let has_vergen =
!matches!(std::env::var_os("MEILI_NO_VERGEN"), Some(x) if x != "false" && x != "0");
anyhow::ensure!(has_vergen, "disabled via `MEILI_NO_VERGEN`");
// Note: any code that needs VERGEN_ environment variables should take care to define them manually in the Dockerfile and pass them
// in the corresponding GitHub workflow (publish_docker.yml).
// This is due to the Dockerfile building the binary outside of the git directory.

View File

@@ -104,11 +104,6 @@ pub enum KindDump {
DocumentDeletionByFilter {
filter: serde_json::Value,
},
DocumentEdition {
filter: Option<serde_json::Value>,
context: Option<serde_json::Map<String, serde_json::Value>>,
function: String,
},
Settings {
settings: Box<meilisearch_types::settings::Settings<Unchecked>>,
is_deletion: bool,
@@ -177,9 +172,6 @@ impl From<KindWithContent> for KindDump {
KindWithContent::DocumentDeletionByFilter { filter_expr, .. } => {
KindDump::DocumentDeletionByFilter { filter: filter_expr }
}
KindWithContent::DocumentEdition { filter_expr, context, function, .. } => {
KindDump::DocumentEdition { filter: filter_expr, context, function }
}
KindWithContent::DocumentClear { .. } => KindDump::DocumentClear,
KindWithContent::SettingsUpdate {
new_settings,
@@ -286,7 +278,6 @@ 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": [
"*"
"id": "e3",
"desc": "overriden vector + map",
"_vectors": {
"default": [
0.2,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
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0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1,
0.1
]
}
}

View File

@@ -26,8 +26,6 @@ pub enum Condition<'a> {
LowerThan(Token<'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
@@ -94,62 +92,6 @@ pub fn parse_not_exists(input: Span) -> IResult<FilterCondition> {
Ok((input, FilterCondition::Not(Box::new(FilterCondition::Condition { fid: key, op: Exists }))))
}
/// contains = value "CONTAINS" value
pub fn parse_contains(input: Span) -> IResult<FilterCondition> {
let (input, (fid, contains, value)) =
tuple((parse_value, tag("CONTAINS"), cut(parse_value)))(input)?;
Ok((
input,
FilterCondition::Condition {
fid,
op: Contains { keyword: Token { span: contains, value: None }, word: value },
},
))
}
/// contains = value "NOT" WS+ "CONTAINS" value
pub fn parse_not_contains(input: Span) -> IResult<FilterCondition> {
let keyword = tuple((tag("NOT"), multispace1, tag("CONTAINS")));
let (input, (fid, (_not, _spaces, contains), value)) =
tuple((parse_value, keyword, cut(parse_value)))(input)?;
Ok((
input,
FilterCondition::Not(Box::new(FilterCondition::Condition {
fid,
op: Contains { keyword: Token { span: contains, value: None }, word: value },
})),
))
}
/// 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`, `_geoRadius`, or `_geoBoundingBox` {}", text)?
}
ErrorKind::InvalidEscapedNumber => {
writeln!(f, "Found an invalid escaped sequence number: `{}`.", escaped_input)?

View File

@@ -48,8 +48,8 @@ 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_exists, parse_is_empty, parse_is_not_empty, parse_is_not_null, parse_is_null,
parse_not_exists,
};
use error::{cut_with_err, ExpectedValueKind, NomErrorExt};
pub use error::{Error, ErrorKind};
@@ -147,38 +147,7 @@ pub enum FilterCondition<'a> {
GeoBoundingBox { top_right_point: [Token<'a>; 2], bottom_left_point: [Token<'a>; 2] },
}
pub enum TraversedElement<'a> {
FilterCondition(&'a FilterCondition<'a>),
Condition(&'a Condition<'a>),
}
impl<'a> FilterCondition<'a> {
pub fn use_contains_operator(&self) -> Option<&Token> {
match self {
FilterCondition::Condition { fid: _, op } => match op {
Condition::GreaterThan(_)
| Condition::GreaterThanOrEqual(_)
| Condition::Equal(_)
| Condition::NotEqual(_)
| Condition::Null
| Condition::Empty
| Condition::Exists
| Condition::LowerThan(_)
| Condition::LowerThanOrEqual(_)
| Condition::Between { .. } => None,
Condition::Contains { keyword, word: _ }
| Condition::StartsWith { keyword, word: _ } => Some(keyword),
},
FilterCondition::Not(this) => this.use_contains_operator(),
FilterCondition::Or(seq) | FilterCondition::And(seq) => {
seq.iter().find_map(|filter| filter.use_contains_operator())
}
FilterCondition::GeoLowerThan { .. }
| FilterCondition::GeoBoundingBox { .. }
| FilterCondition::In { .. } => None,
}
}
/// Returns the first token found at the specified depth, `None` if no token at this depth.
pub fn token_at_depth(&self, depth: usize) -> Option<&Token> {
match self {
@@ -483,10 +452,6 @@ fn parse_primary(input: Span, depth: usize) -> IResult<FilterCondition> {
parse_exists,
parse_not_exists,
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,
@@ -569,8 +534,6 @@ impl<'a> std::fmt::Display for Condition<'a> {
Condition::LowerThan(token) => write!(f, "< {token}"),
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}"),
}
}
}
@@ -595,7 +558,6 @@ pub mod tests {
unsafe { Span::new_from_raw_offset(offset, lines as u32, value, "") }.into()
}
#[track_caller]
fn p(s: &str) -> impl std::fmt::Display + '_ {
Fc::parse(s).unwrap().unwrap()
}
@@ -677,20 +639,6 @@ pub mod tests {
insta::assert_snapshot!(p("NOT subscribers NOT EXISTS"), @"{subscribers} EXISTS");
insta::assert_snapshot!(p("subscribers NOT EXISTS"), @"NOT ({subscribers} EXISTS)");
// Test CONTAINS + NOT CONTAINS
insta::assert_snapshot!(p("subscribers CONTAINS 'hello'"), @"{subscribers} CONTAINS {hello}");
insta::assert_snapshot!(p("NOT subscribers CONTAINS 'hello'"), @"NOT ({subscribers} CONTAINS {hello})");
insta::assert_snapshot!(p("subscribers NOT CONTAINS hello"), @"NOT ({subscribers} CONTAINS {hello})");
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 +710,7 @@ 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`, `_geoRadius`, or `_geoBoundingBox` at `\'OR\'`.
1:5 'OR'
"###);
@@ -772,12 +720,12 @@ 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`, `_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`, `_geoRadius`, or `_geoBoundingBox` but instead got nothing.
19:19 channel = Ponce OR
"###);
@@ -862,12 +810,12 @@ 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`, `_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`, `_geoRadius`, or `_geoBoundingBox` at `subscribers 100 TO1000`.
1:23 subscribers 100 TO1000
"###);
@@ -930,35 +878,35 @@ 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`, `_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`, `_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`, `_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`, `_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`, `_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`, `_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`, `_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`, `_geoRadius`, or `_geoBoundingBox` at `value IS NOT EXISTS`.
1:20 value IS NOT EXISTS
"###);
}

View File

@@ -211,9 +211,6 @@ fn is_keyword(s: &str) -> bool {
| "IS"
| "NULL"
| "EMPTY"
| "CONTAINS"
| "STARTS"
| "WITH"
| "_geoRadius"
| "_geoBoundingBox"
)

View File

@@ -110,7 +110,7 @@ fn main() {
// after executing a batch we check if the database is corrupted
let res = index.search(&wtxn).execute().unwrap();
index.documents(&wtxn, res.documents_ids).unwrap();
index.compressed_documents(&wtxn, res.documents_ids).unwrap();
progression.fetch_add(1, Ordering::Relaxed);
}
wtxn.abort();

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

@@ -24,10 +24,8 @@ enum AutobatchKind {
allow_index_creation: bool,
primary_key: Option<String>,
},
DocumentEdition,
DocumentDeletion {
by_filter: bool,
},
DocumentDeletion,
DocumentDeletionByFilter,
DocumentClear,
Settings {
allow_index_creation: bool,
@@ -65,13 +63,10 @@ impl From<KindWithContent> for AutobatchKind {
primary_key,
..
} => 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 {
@@ -103,12 +98,11 @@ pub enum BatchKind {
primary_key: Option<String>,
operation_ids: Vec<TaskId>,
},
DocumentEdition {
id: TaskId,
},
DocumentDeletion {
deletion_ids: Vec<TaskId>,
includes_by_filter: bool,
},
DocumentDeletionByFilter {
id: TaskId,
},
ClearAndSettings {
other: Vec<TaskId>,
@@ -205,14 +199,12 @@ 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 +222,7 @@ 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::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 +258,7 @@ 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 +278,7 @@ 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 +322,7 @@ 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 +333,6 @@ 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 +351,13 @@ 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 +371,7 @@ 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 +390,9 @@ 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 +406,7 @@ 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 +437,7 @@ impl BatchKind {
settings_ids,
allow_index_creation,
},
K::DocumentDeletion { .. },
K::DocumentDeletion,
) => {
other.push(id);
Continue(BatchKind::ClearAndSettings {
@@ -519,7 +499,7 @@ 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 +519,7 @@ impl BatchKind {
| BatchKind::IndexDeletion { .. }
| BatchKind::IndexUpdate { .. }
| BatchKind::IndexSwap { .. }
| BatchKind::DocumentEdition { .. },
| BatchKind::DocumentDeletionByFilter { .. },
_,
) => {
unreachable!()
@@ -629,13 +609,6 @@ 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 +669,10 @@ 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 +715,25 @@ 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 +800,6 @@ 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 +809,6 @@ 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 +820,6 @@ 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 +829,6 @@ 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 +894,10 @@ 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

@@ -34,7 +34,7 @@ use meilisearch_types::milli::update::{
use meilisearch_types::milli::vector::parsed_vectors::{
ExplicitVectors, VectorOrArrayOfVectors, RESERVED_VECTORS_FIELD_NAME,
};
use meilisearch_types::milli::{self, Filter, Object};
use meilisearch_types::milli::{self, Filter};
use meilisearch_types::settings::{apply_settings_to_builder, Settings, Unchecked};
use meilisearch_types::tasks::{Details, IndexSwap, Kind, KindWithContent, Status, Task};
use meilisearch_types::{compression, Index, VERSION_FILE_NAME};
@@ -106,14 +106,10 @@ pub(crate) enum IndexOperation {
operations: Vec<DocumentOperation>,
tasks: Vec<Task>,
},
DocumentEdition {
IndexDocumentDeletionByFilter {
index_uid: String,
task: Task,
},
DocumentDeletion {
index_uid: String,
tasks: Vec<Task>,
},
DocumentClear {
index_uid: String,
tasks: Vec<Task>,
@@ -165,11 +161,10 @@ 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::IndexDocumentDeletionByFilter { task, .. } => {
RoaringBitmap::from_sorted_iter(std::iter::once(task.uid)).unwrap()
}
IndexOperation::SettingsAndDocumentOperation {
@@ -233,8 +228,7 @@ impl IndexOperation {
pub fn index_uid(&self) -> &str {
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, .. }
@@ -249,11 +243,8 @@ impl fmt::Display for IndexOperation {
IndexOperation::DocumentOperation { .. } => {
f.write_str("IndexOperation::DocumentOperation")
}
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"),
@@ -289,12 +280,12 @@ impl IndexScheduler {
},
must_create_index,
})),
BatchKind::DocumentEdition { id } => {
BatchKind::DocumentDeletionByFilter { id } => {
let task = self.get_task(rtxn, id)?.ok_or(Error::CorruptedTaskQueue)?;
match &task.kind {
KindWithContent::DocumentEdition { index_uid, .. } => {
KindWithContent::DocumentDeletionByFilter { index_uid, .. } => {
Ok(Some(Batch::IndexOperation {
op: IndexOperation::DocumentEdition {
op: IndexOperation::IndexDocumentDeletionByFilter {
index_uid: index_uid.clone(),
task,
},
@@ -351,11 +342,30 @@ 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,
}))
}
@@ -898,16 +908,22 @@ impl IndexScheduler {
let mut index_dumper = dump.create_index(uid, &metadata)?;
let fields_ids_map = index.fields_ids_map(&rtxn)?;
let dictionary = index.document_decompression_dictionary(&rtxn)?;
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
let embedding_configs = index.embedding_configs(&rtxn)?;
let mut buffer = Vec::new();
// 3.1. Dump the documents
for ret in index.all_documents(&rtxn)? {
for ret in index.all_compressed_documents(&rtxn)? {
if self.must_stop_processing.get() {
return Err(Error::AbortedTask);
}
let (id, doc) = ret?;
let (id, compressed) = ret?;
let doc = compressed.decompress_with_optional_dictionary(
&mut buffer,
dictionary.as_ref(),
)?;
let mut document = milli::obkv_to_json(&all_fields, &fields_ids_map, doc)?;
@@ -1247,7 +1263,6 @@ impl IndexScheduler {
operations,
mut tasks,
} => {
let started_processing_at = std::time::Instant::now();
let mut primary_key_has_been_set = false;
let must_stop_processing = self.must_stop_processing.clone();
let indexer_config = self.index_mapper.indexer_config();
@@ -1362,7 +1377,7 @@ impl IndexScheduler {
if !tasks.iter().all(|res| res.error.is_some()) {
let addition = builder.execute()?;
tracing::info!(indexing_result = ?addition, processed_in = ?started_processing_at.elapsed(), "document indexing done");
tracing::info!(indexing_result = ?addition, "document indexing done");
} else if primary_key_has_been_set {
// Everything failed but we've set a primary key.
// We need to remove it.
@@ -1377,57 +1392,46 @@ impl IndexScheduler {
Ok(tasks)
}
IndexOperation::DocumentEdition { mut task, .. } => {
let (filter, context, function) =
if let KindWithContent::DocumentEdition {
filter_expr, context, function, ..
} = &task.kind
IndexOperation::IndexDocumentDeletionByFilter { mut task, index_uid: _ } => {
let filter =
if let KindWithContent::DocumentDeletionByFilter { filter_expr, .. } =
&task.kind
{
(filter_expr, context, function)
filter_expr
} else {
unreachable!()
};
let result_count = edit_documents_by_function(
let deleted_documents = delete_document_by_filter(
index_wtxn,
filter,
context.clone(),
function,
self.index_mapper.indexer_config(),
self.must_stop_processing.clone(),
index,
);
let (original_filter, context, function) = if let Some(Details::DocumentEdition {
let original_filter = if let Some(Details::DocumentDeletionByFilter {
original_filter,
context,
function,
..
deleted_documents: _,
}) = task.details
{
(original_filter, context, function)
original_filter
} else {
// In the case of a `documentEdition` the details MUST be set
// In the case of a `documentDeleteByFilter` the details MUST be set
unreachable!();
};
match result_count {
Ok((deleted_documents, edited_documents)) => {
match deleted_documents {
Ok(deleted_documents) => {
task.status = Status::Succeeded;
task.details = Some(Details::DocumentEdition {
task.details = Some(Details::DocumentDeletionByFilter {
original_filter,
context,
function,
deleted_documents: Some(deleted_documents),
edited_documents: Some(edited_documents),
});
}
Err(e) => {
task.status = Status::Failed;
task.details = Some(Details::DocumentEdition {
task.details = Some(Details::DocumentDeletionByFilter {
original_filter,
context,
function,
deleted_documents: Some(0),
edited_documents: Some(0),
});
task.error = Some(e.into());
}
@@ -1435,103 +1439,6 @@ 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();
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!(),
}
}
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)
}
IndexOperation::Settings { index_uid: _, settings, mut tasks } => {
let indexer_config = self.index_mapper.indexer_config();
let mut builder = milli::update::Settings::new(index_wtxn, index, indexer_config);
@@ -1734,25 +1641,21 @@ impl IndexScheduler {
}
}
fn edit_documents_by_function<'a>(
fn delete_document_by_filter<'a>(
wtxn: &mut RwTxn<'a>,
filter: &Option<serde_json::Value>,
context: Option<Object>,
code: &str,
filter: &serde_json::Value,
indexer_config: &IndexerConfig,
must_stop_processing: MustStopProcessing,
index: &'a Index,
) -> Result<(u64, u64)> {
let candidates = match filter.as_ref().map(Filter::from_json) {
Some(Ok(Some(filter))) => filter.evaluate(wtxn, index).map_err(|err| match err {
) -> 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(),
})?,
None | Some(Ok(None)) => index.documents_ids(wtxn)?,
Some(Err(e)) => return Err(e.into()),
};
})?;
let config = IndexDocumentsConfig {
update_method: IndexDocumentsMethod::ReplaceDocuments,
@@ -1768,9 +1671,12 @@ fn edit_documents_by_function<'a>(
|| must_stop_processing.get(),
)?;
let (new_builder, count) = builder.edit_documents(&candidates, context, code)?;
let (new_builder, count) = builder.remove_documents_from_db_no_batch(&candidates)?;
builder = new_builder;
let _ = builder.execute()?;
Ok(count.unwrap())
count
} else {
0
})
}

View File

@@ -68,32 +68,6 @@ impl RoFeatures {
.into())
}
}
pub fn check_edit_documents_by_function(&self, disabled_action: &'static str) -> Result<()> {
if self.runtime.edit_documents_by_function {
Ok(())
} else {
Err(FeatureNotEnabledError {
disabled_action,
feature: "edit documents by function",
issue_link: "https://github.com/orgs/meilisearch/discussions/762",
}
.into())
}
}
pub fn check_contains_filter(&self) -> Result<()> {
if self.runtime.contains_filter {
Ok(())
} else {
Err(FeatureNotEnabledError {
disabled_action: "Using `CONTAINS` or `STARTS WITH` in a filter",
feature: "contains filter",
issue_link: "https://github.com/orgs/meilisearch/discussions/763",
}
.into())
}
}
}
impl FeatureData {
@@ -105,11 +79,9 @@ impl FeatureData {
let txn = env.read_txn()?;
let persisted_features: RuntimeTogglableFeatures =
runtime_features_db.get(&txn, EXPERIMENTAL_FEATURES)?.unwrap_or_default();
let InstanceTogglableFeatures { metrics, logs_route, contains_filter } = instance_features;
let runtime = Arc::new(RwLock::new(RuntimeTogglableFeatures {
metrics: metrics || persisted_features.metrics,
logs_route: logs_route || persisted_features.logs_route,
contains_filter: contains_filter || persisted_features.contains_filter,
metrics: instance_features.metrics || persisted_features.metrics,
logs_route: instance_features.logs_route || persisted_features.logs_route,
..persisted_features
}));

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 {
@@ -180,17 +177,6 @@ fn snapshot_details(d: &Details) -> String {
} => {
format!("{{ received_documents: {received_documents}, indexed_documents: {indexed_documents:?} }}")
}
Details::DocumentEdition {
deleted_documents,
edited_documents,
original_filter,
context,
function,
} => {
format!(
"{{ deleted_documents: {deleted_documents:?}, edited_documents: {edited_documents:?}, context: {context:?}, function: {function:?}, original_filter: {original_filter:?} }}"
)
}
Details::SettingsUpdate { settings } => {
format!("{{ settings: {settings:?} }}")
}

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.");
}
}
}
})
@@ -668,11 +662,7 @@ impl IndexScheduler {
let rtxn = self.env.read_txn()?;
self.index_mapper.index(&rtxn, name)
}
/// Return the boolean referring if index exists.
pub fn index_exists(&self, name: &str) -> Result<bool> {
let rtxn = self.env.read_txn()?;
self.index_mapper.index_exists(&rtxn, name)
}
/// Return the name of all indexes without opening them.
pub fn index_names(&self) -> Result<Vec<String>> {
let rtxn = self.env.read_txn()?;
@@ -1263,7 +1253,7 @@ 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 +1467,7 @@ impl IndexScheduler {
.map(
|IndexEmbeddingConfig {
name,
config: milli::vector::EmbeddingConfig { embedder_options, prompt, quantized },
config: milli::vector::EmbeddingConfig { embedder_options, prompt },
..
}| {
let prompt =
@@ -1486,10 +1476,7 @@ 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 +1490,7 @@ 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();
@@ -1616,14 +1603,6 @@ impl<'a> Dump<'a> {
index_uid: task.index_uid.ok_or(Error::CorruptedDump)?,
}
}
KindDump::DocumentEdition { filter, context, function } => {
KindWithContent::DocumentEdition {
index_uid: task.index_uid.ok_or(Error::CorruptedDump)?,
filter_expr: filter,
context,
function,
}
}
KindDump::DocumentClear => KindWithContent::DocumentClear {
index_uid: task.index_uid.ok_or(Error::CorruptedDump)?,
},
@@ -1767,7 +1746,6 @@ 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 +1988,11 @@ 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 +2016,7 @@ 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 +2035,7 @@ mod tests {
}
self.advance_till([AfterProcessing]);
self.index_scheduler.assert_internally_consistent();
}
// Wait for one failed batch.
@@ -2487,12 +2465,20 @@ mod tests {
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -2547,127 +2533,24 @@ mod tests {
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
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![]);
@@ -3037,12 +2920,20 @@ mod tests {
// has everything being pushed successfully in milli?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -3088,12 +2979,20 @@ mod tests {
// has everything being pushed successfully in milli?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -3144,12 +3043,20 @@ mod tests {
// has everything being pushed successfully in milli?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -3168,8 +3075,6 @@ 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));
@@ -3264,12 +3169,20 @@ mod tests {
// has everything being pushed successfully in milli?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -3319,12 +3232,20 @@ mod tests {
// has everything being pushed successfully in milli?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -3922,15 +3843,15 @@ mod tests {
]);
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "after_processing_the_10_tasks");
// The index should not exist.
snapshot!(matches!(index_scheduler.index_exists("doggos"), Ok(true)), @"false");
// The index should not exists.
snapshot!(format!("{}", index_scheduler.index("doggos").map(|_| ()).unwrap_err()), @"Index `doggos` not found.");
}
#[test]
fn test_document_addition_cant_create_index_without_index_without_autobatching() {
// We're going to execute multiple document addition that don't have
// the right to create an index while there is no index currently.
// Since the auto-batching is disabled, every task should be processed
// Since the autobatching is disabled, every tasks should be processed
// sequentially and throw an IndexDoesNotExists.
let (index_scheduler, mut handle) = IndexScheduler::test(false, vec![]);
@@ -3972,8 +3893,8 @@ mod tests {
handle.advance_n_failed_batches(5);
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "all_tasks_processed");
// The index should not exist.
snapshot!(matches!(index_scheduler.index_exists("doggos"), Ok(true)), @"false");
// The index should not exists.
snapshot!(format!("{}", index_scheduler.index("doggos").map(|_| ()).unwrap_err()), @"Index `doggos` not found.");
}
#[test]
@@ -4033,12 +3954,20 @@ mod tests {
// Has everything being pushed successfully in milli?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -4104,12 +4033,20 @@ mod tests {
// Has everything being pushed successfully in milli?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -4172,12 +4109,20 @@ mod tests {
// Has everything being pushed successfully in milli?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -4233,12 +4178,20 @@ mod tests {
// Has everything being pushed successfully in milli?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -4294,6 +4247,8 @@ mod tests {
// Is the primary key still what we expect?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).unwrap();
let primary_key = index.primary_key(&rtxn).unwrap().unwrap();
snapshot!(primary_key, @"id");
@@ -4301,9 +4256,15 @@ mod tests {
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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -4355,6 +4316,8 @@ mod tests {
// Is the primary key still what we expect?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).unwrap();
let primary_key = index.primary_key(&rtxn).unwrap().unwrap();
snapshot!(primary_key, @"id");
@@ -4362,9 +4325,15 @@ mod tests {
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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -4438,6 +4407,8 @@ mod tests {
// Is the primary key still what we expect?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).unwrap();
let primary_key = index.primary_key(&rtxn).unwrap().unwrap();
snapshot!(primary_key, @"id");
@@ -4445,9 +4416,15 @@ mod tests {
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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -4524,6 +4501,8 @@ mod tests {
// Is the primary key still what we expect?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).unwrap();
let primary_key = index.primary_key(&rtxn).unwrap().unwrap();
snapshot!(primary_key, @"paw");
@@ -4531,9 +4510,15 @@ mod tests {
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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -4603,6 +4588,8 @@ mod tests {
// Is the primary key still what we expect?
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).unwrap();
let primary_key = index.primary_key(&rtxn).unwrap().unwrap();
snapshot!(primary_key, @"doggoid");
@@ -4610,9 +4597,15 @@ mod tests {
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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string_pretty(&documents).unwrap(), name: "documents");
}
@@ -4879,7 +4872,6 @@ mod tests {
"types": {
"documentAdditionOrUpdate": 0,
"documentDeletion": 0,
"documentEdition": 0,
"dumpCreation": 0,
"indexCreation": 3,
"indexDeletion": 0,
@@ -4911,7 +4903,6 @@ mod tests {
"types": {
"documentAdditionOrUpdate": 0,
"documentDeletion": 0,
"documentEdition": 0,
"dumpCreation": 0,
"indexCreation": 3,
"indexDeletion": 0,
@@ -4950,7 +4941,6 @@ mod tests {
"types": {
"documentAdditionOrUpdate": 0,
"documentDeletion": 0,
"documentEdition": 0,
"dumpCreation": 0,
"indexCreation": 3,
"indexDeletion": 0,
@@ -4990,7 +4980,6 @@ mod tests {
"types": {
"documentAdditionOrUpdate": 0,
"documentDeletion": 0,
"documentEdition": 0,
"dumpCreation": 0,
"indexCreation": 3,
"indexDeletion": 0,
@@ -5129,8 +5118,6 @@ 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 +5187,10 @@ 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)
};
@@ -5262,6 +5248,8 @@ mod tests {
{
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).unwrap();
// Ensure the document have been inserted into the relevant bitamp
let configs = index.embedding_configs(&rtxn).unwrap();
@@ -5281,8 +5269,12 @@ mod tests {
assert_json_snapshot!(embeddings[&simple_hf_name][0] == lab_embed, @"true");
assert_json_snapshot!(embeddings[&fakerest_name][0] == beagle_embed, @"true");
let doc = index.documents(&rtxn, std::iter::once(0)).unwrap()[0].1;
let (_id, compressed_doc) =
index.compressed_documents(&rtxn, std::iter::once(0)).unwrap().remove(0);
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
let doc = obkv_to_json(
&[
fields_ids_map.id("doggo").unwrap(),
@@ -5336,6 +5328,8 @@ mod tests {
{
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).unwrap();
// Ensure the document have been inserted into the relevant bitamp
let configs = index.embedding_configs(&rtxn).unwrap();
@@ -5358,8 +5352,12 @@ mod tests {
// remained beagle
assert_json_snapshot!(embeddings[&fakerest_name][0] == beagle_embed, @"true");
let doc = index.documents(&rtxn, std::iter::once(0)).unwrap()[0].1;
let (_id, compressed_doc) =
index.compressed_documents(&rtxn, std::iter::once(0)).unwrap().remove(0);
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
let doc = obkv_to_json(
&[
fields_ids_map.id("doggo").unwrap(),
@@ -5451,12 +5449,20 @@ mod tests {
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string(&documents).unwrap(), name: "documents after initial push");
@@ -5490,12 +5496,20 @@ mod tests {
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
// the all the vectors linked to the new specified embedder have been removed
// Only the unknown embedders stays in the document DB
@@ -5519,11 +5533,7 @@ mod tests {
),
prompt: PromptData {
template: "{{doc.doggo}}",
max_bytes: Some(
400,
),
},
quantized: None,
},
user_provided: RoaringBitmap<[1, 2]>,
},
@@ -5536,8 +5546,28 @@ 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]);
@@ -5582,9 +5612,15 @@ mod tests {
// the document with the id 3 should have its original embedding updated
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).unwrap();
let docid = index.external_documents_ids.get(&rtxn, "3").unwrap().unwrap();
let doc = index.documents(&rtxn, Some(docid)).unwrap()[0];
let doc = obkv_to_json(&field_ids, &field_ids_map, doc.1).unwrap();
let (_id, compressed_doc) =
index.compressed_documents(&rtxn, Some(docid)).unwrap().remove(0);
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
let doc = obkv_to_json(&field_ids, &field_ids_map, doc).unwrap();
snapshot!(json_string!(doc), @r###"
{
"id": 3,
@@ -5696,12 +5732,20 @@ mod tests {
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string(&documents).unwrap(), @r###"[{"id":0,"doggo":"kefir"}]"###);
let conf = index.embedding_configs(&rtxn).unwrap();
@@ -5717,12 +5761,8 @@ 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]>,
},
@@ -5740,12 +5780,20 @@ mod tests {
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string(&documents).unwrap(), @"[]");
let conf = index.embedding_configs(&rtxn).unwrap();
@@ -5761,12 +5809,8 @@ 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<[]>,
},
@@ -5860,12 +5904,20 @@ mod tests {
{
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string(&documents).unwrap(), @r###"[{"id":0,"doggo":"kefir"},{"id":1,"doggo":"intel"}]"###);
}
@@ -5895,12 +5947,20 @@ mod tests {
{
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
snapshot!(serde_json::to_string(&documents).unwrap(), @r###"[{"id":0,"doggo":"kefir","_vectors":{"manual":{"embeddings":[[0.0,0.0,0.0]],"regenerate":false}}},{"id":1,"doggo":"intel","_vectors":{"manual":{"embeddings":[[1.0,1.0,1.0]],"regenerate":false}}}]"###);
}
@@ -5928,12 +5988,20 @@ mod tests {
{
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let mut buffer = Vec::new();
let dictionary = index.document_decompression_dictionary(&rtxn).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)
.all_compressed_documents(&rtxn)
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.map(|ret| {
let (_id, compressed_doc) = ret.unwrap();
let doc = compressed_doc
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())
.unwrap();
obkv_to_json(&field_ids, &field_ids_map, doc).unwrap()
})
.collect::<Vec<_>>();
// FIXME: redaction

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

@@ -238,7 +238,6 @@ pub fn swap_index_uid_in_task(task: &mut Task, swap: (&str, &str)) {
let mut index_uids = vec![];
match &mut task.kind {
K::DocumentAdditionOrUpdate { index_uid, .. } => index_uids.push(index_uid),
K::DocumentEdition { index_uid, .. } => index_uids.push(index_uid),
K::DocumentDeletion { index_uid, .. } => index_uids.push(index_uid),
K::DocumentDeletionByFilter { index_uid, .. } => index_uids.push(index_uid),
K::DocumentClear { index_uid } => index_uids.push(index_uid),
@@ -409,26 +408,7 @@ impl IndexScheduler {
match status {
Status::Succeeded => assert!(indexed_documents <= received_documents),
Status::Failed | Status::Canceled => assert_eq!(indexed_documents, 0),
status => panic!("DocumentAddition can't have an indexed_documents set if it's {}", status),
}
}
None => {
assert!(matches!(status, Status::Enqueued | Status::Processing))
}
}
}
Details::DocumentEdition { edited_documents, .. } => {
assert_eq!(kind.as_kind(), Kind::DocumentEdition);
match edited_documents {
Some(edited_documents) => {
assert!(matches!(
status,
Status::Succeeded | Status::Failed | Status::Canceled
));
match status {
Status::Succeeded => (),
Status::Failed | Status::Canceled => assert_eq!(edited_documents, 0),
status => panic!("DocumentEdition can't have an edited_documents set if it's {}", status),
status => panic!("DocumentAddition can't have an indexed_document set if it's {}", status),
}
}
None => {

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

@@ -155,10 +155,6 @@ make_missing_field_convenience_builder!(
MissingFacetSearchFacetName,
missing_facet_search_facet_name
);
make_missing_field_convenience_builder!(
MissingDocumentEditionFunction,
missing_document_edition_function
);
// Integrate a sub-error into a [`DeserrError`] by taking its error message but using
// the default error code (C) from `Self`
@@ -192,7 +188,6 @@ merge_with_error_impl_take_error_message!(ParseOffsetDateTimeError);
merge_with_error_impl_take_error_message!(ParseTaskKindError);
merge_with_error_impl_take_error_message!(ParseTaskStatusError);
merge_with_error_impl_take_error_message!(IndexUidFormatError);
merge_with_error_impl_take_error_message!(InvalidMultiSearchWeight);
merge_with_error_impl_take_error_message!(InvalidSearchSemanticRatio);
merge_with_error_impl_take_error_message!(InvalidSearchRankingScoreThreshold);
merge_with_error_impl_take_error_message!(InvalidSimilarRankingScoreThreshold);

View File

@@ -224,7 +224,6 @@ InvalidDocumentCsvDelimiter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFields , InvalidRequest , BAD_REQUEST ;
InvalidDocumentRetrieveVectors , InvalidRequest , BAD_REQUEST ;
MissingDocumentFilter , InvalidRequest , BAD_REQUEST ;
MissingDocumentEditionFunction , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentGeoField , InvalidRequest , BAD_REQUEST ;
InvalidVectorDimensions , InvalidRequest , BAD_REQUEST ;
@@ -238,17 +237,6 @@ 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 ;
InvalidSearchAttributesToSearchOn , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToCrop , InvalidRequest , BAD_REQUEST ;
InvalidSearchAttributesToHighlight , InvalidRequest , BAD_REQUEST ;
@@ -262,7 +250,6 @@ 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 +291,6 @@ 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 ;
@@ -350,10 +336,7 @@ UnsupportedMediaType , InvalidRequest , UNSUPPORTED_MEDIA
// Experimental features
VectorEmbeddingError , InvalidRequest , BAD_REQUEST ;
NotFoundSimilarId , InvalidRequest , BAD_REQUEST ;
InvalidDocumentEditionContext , InvalidRequest , BAD_REQUEST ;
InvalidDocumentEditionFunctionFilter , InvalidRequest , BAD_REQUEST ;
EditDocumentsByFunctionError , InvalidRequest , BAD_REQUEST
NotFoundSimilarId , InvalidRequest , BAD_REQUEST
}
impl ErrorCode for JoinError {
@@ -394,11 +377,7 @@ 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,
@@ -427,15 +406,7 @@ impl ErrorCode for milli::Error {
Code::InvalidSettingsTypoTolerance
}
UserError::InvalidEmbedder(_) => Code::InvalidEmbedder,
UserError::VectorEmbeddingError(_) | UserError::DocumentEmbeddingError(_) => {
Code::VectorEmbeddingError
}
UserError::DocumentEditionCannotModifyPrimaryKey
| UserError::DocumentEditionDocumentMustBeObject
| UserError::DocumentEditionRuntimeError(_)
| UserError::DocumentEditionCompilationError(_) => {
Code::EditDocumentsByFunctionError
}
UserError::VectorEmbeddingError(_) => Code::VectorEmbeddingError,
}
}
}
@@ -531,12 +502,6 @@ impl fmt::Display for deserr_codes::InvalidSearchSemanticRatio {
}
}
impl fmt::Display for deserr_codes::InvalidMultiSearchWeight {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(f, "the value of `weight` is invalid, expected a positive float (>= 0.0).")
}
}
impl fmt::Display for deserr_codes::InvalidSimilarId {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
write!(

View File

@@ -6,13 +6,10 @@ pub struct RuntimeTogglableFeatures {
pub vector_store: bool,
pub metrics: bool,
pub logs_route: bool,
pub edit_documents_by_function: bool,
pub contains_filter: bool,
}
#[derive(Default, Debug, Clone, Copy)]
pub struct InstanceTogglableFeatures {
pub metrics: bool,
pub logs_route: bool,
pub contains_filter: bool,
}

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

@@ -7,13 +7,12 @@ 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;
pub mod tasks;
pub mod versioning;
pub use milli::{heed, Index};
pub use milli::{heed, zstd, Index};
use uuid::Uuid;
pub use versioning::VERSION_FILE_NAME;
pub use {milli, serde_cs};

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

@@ -1,4 +1,3 @@
use milli::Object;
use serde::Serialize;
use time::{Duration, OffsetDateTime};
@@ -55,8 +54,6 @@ pub struct DetailsView {
#[serde(skip_serializing_if = "Option::is_none")]
pub indexed_documents: Option<Option<u64>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub edited_documents: Option<Option<u64>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub primary_key: Option<Option<String>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub provided_ids: Option<usize>,
@@ -73,10 +70,6 @@ pub struct DetailsView {
#[serde(skip_serializing_if = "Option::is_none")]
pub dump_uid: Option<Option<String>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub context: Option<Option<Object>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub function: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
#[serde(flatten)]
pub settings: Option<Box<Settings<Unchecked>>>,
#[serde(skip_serializing_if = "Option::is_none")]
@@ -93,20 +86,6 @@ impl From<Details> for DetailsView {
..DetailsView::default()
}
}
Details::DocumentEdition {
deleted_documents,
edited_documents,
original_filter,
context,
function,
} => DetailsView {
deleted_documents: Some(deleted_documents),
edited_documents: Some(edited_documents),
original_filter: Some(original_filter),
context: Some(context),
function: Some(function),
..DetailsView::default()
},
Details::SettingsUpdate { mut settings } => {
settings.hide_secrets();
DetailsView { settings: Some(settings), ..DetailsView::default() }

View File

@@ -5,7 +5,6 @@ use std::str::FromStr;
use enum_iterator::Sequence;
use milli::update::IndexDocumentsMethod;
use milli::Object;
use roaring::RoaringBitmap;
use serde::{Deserialize, Serialize, Serializer};
use time::{Duration, OffsetDateTime};
@@ -49,7 +48,6 @@ impl Task {
| TaskDeletion { .. }
| IndexSwap { .. } => None,
DocumentAdditionOrUpdate { index_uid, .. }
| DocumentEdition { index_uid, .. }
| DocumentDeletion { index_uid, .. }
| DocumentDeletionByFilter { index_uid, .. }
| DocumentClear { index_uid }
@@ -69,8 +67,7 @@ impl Task {
pub fn content_uuid(&self) -> Option<Uuid> {
match self.kind {
KindWithContent::DocumentAdditionOrUpdate { content_file, .. } => Some(content_file),
KindWithContent::DocumentEdition { .. }
| KindWithContent::DocumentDeletion { .. }
KindWithContent::DocumentDeletion { .. }
| KindWithContent::DocumentDeletionByFilter { .. }
| KindWithContent::DocumentClear { .. }
| KindWithContent::SettingsUpdate { .. }
@@ -105,12 +102,6 @@ pub enum KindWithContent {
index_uid: String,
filter_expr: serde_json::Value,
},
DocumentEdition {
index_uid: String,
filter_expr: Option<serde_json::Value>,
context: Option<milli::Object>,
function: String,
},
DocumentClear {
index_uid: String,
},
@@ -159,7 +150,6 @@ impl KindWithContent {
pub fn as_kind(&self) -> Kind {
match self {
KindWithContent::DocumentAdditionOrUpdate { .. } => Kind::DocumentAdditionOrUpdate,
KindWithContent::DocumentEdition { .. } => Kind::DocumentEdition,
KindWithContent::DocumentDeletion { .. } => Kind::DocumentDeletion,
KindWithContent::DocumentDeletionByFilter { .. } => Kind::DocumentDeletion,
KindWithContent::DocumentClear { .. } => Kind::DocumentDeletion,
@@ -184,7 +174,6 @@ impl KindWithContent {
| TaskCancelation { .. }
| TaskDeletion { .. } => vec![],
DocumentAdditionOrUpdate { index_uid, .. }
| DocumentEdition { index_uid, .. }
| DocumentDeletion { index_uid, .. }
| DocumentDeletionByFilter { index_uid, .. }
| DocumentClear { index_uid }
@@ -213,15 +202,6 @@ impl KindWithContent {
indexed_documents: None,
})
}
KindWithContent::DocumentEdition { index_uid: _, filter_expr, context, function } => {
Some(Details::DocumentEdition {
deleted_documents: None,
edited_documents: None,
original_filter: filter_expr.as_ref().map(|v| v.to_string()),
context: context.clone(),
function: function.clone(),
})
}
KindWithContent::DocumentDeletion { index_uid: _, documents_ids } => {
Some(Details::DocumentDeletion {
provided_ids: documents_ids.len(),
@@ -270,15 +250,6 @@ impl KindWithContent {
indexed_documents: Some(0),
})
}
KindWithContent::DocumentEdition { index_uid: _, filter_expr, context, function } => {
Some(Details::DocumentEdition {
deleted_documents: Some(0),
edited_documents: Some(0),
original_filter: filter_expr.as_ref().map(|v| v.to_string()),
context: context.clone(),
function: function.clone(),
})
}
KindWithContent::DocumentDeletion { index_uid: _, documents_ids } => {
Some(Details::DocumentDeletion {
provided_ids: documents_ids.len(),
@@ -330,7 +301,6 @@ impl From<&KindWithContent> for Option<Details> {
indexed_documents: None,
})
}
KindWithContent::DocumentEdition { .. } => None,
KindWithContent::DocumentDeletion { .. } => None,
KindWithContent::DocumentDeletionByFilter { .. } => None,
KindWithContent::DocumentClear { .. } => None,
@@ -424,7 +394,6 @@ impl std::error::Error for ParseTaskStatusError {}
#[serde(rename_all = "camelCase")]
pub enum Kind {
DocumentAdditionOrUpdate,
DocumentEdition,
DocumentDeletion,
SettingsUpdate,
IndexCreation,
@@ -441,7 +410,6 @@ impl Kind {
pub fn related_to_one_index(&self) -> bool {
match self {
Kind::DocumentAdditionOrUpdate
| Kind::DocumentEdition
| Kind::DocumentDeletion
| Kind::SettingsUpdate
| Kind::IndexCreation
@@ -459,7 +427,6 @@ impl Display for Kind {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
Kind::DocumentAdditionOrUpdate => write!(f, "documentAdditionOrUpdate"),
Kind::DocumentEdition => write!(f, "documentEdition"),
Kind::DocumentDeletion => write!(f, "documentDeletion"),
Kind::SettingsUpdate => write!(f, "settingsUpdate"),
Kind::IndexCreation => write!(f, "indexCreation"),
@@ -487,8 +454,6 @@ impl FromStr for Kind {
Ok(Kind::IndexDeletion)
} else if kind.eq_ignore_ascii_case("documentAdditionOrUpdate") {
Ok(Kind::DocumentAdditionOrUpdate)
} else if kind.eq_ignore_ascii_case("documentEdition") {
Ok(Kind::DocumentEdition)
} else if kind.eq_ignore_ascii_case("documentDeletion") {
Ok(Kind::DocumentDeletion)
} else if kind.eq_ignore_ascii_case("settingsUpdate") {
@@ -530,50 +495,16 @@ impl std::error::Error for ParseTaskKindError {}
#[derive(Debug, PartialEq, Eq, Clone, Serialize, Deserialize)]
pub enum Details {
DocumentAdditionOrUpdate {
received_documents: u64,
indexed_documents: Option<u64>,
},
SettingsUpdate {
settings: Box<Settings<Unchecked>>,
},
IndexInfo {
primary_key: Option<String>,
},
DocumentDeletion {
provided_ids: usize,
deleted_documents: Option<u64>,
},
DocumentDeletionByFilter {
original_filter: String,
deleted_documents: Option<u64>,
},
DocumentEdition {
deleted_documents: Option<u64>,
edited_documents: Option<u64>,
original_filter: Option<String>,
context: Option<Object>,
function: String,
},
ClearAll {
deleted_documents: Option<u64>,
},
TaskCancelation {
matched_tasks: u64,
canceled_tasks: Option<u64>,
original_filter: String,
},
TaskDeletion {
matched_tasks: u64,
deleted_tasks: Option<u64>,
original_filter: String,
},
Dump {
dump_uid: Option<String>,
},
IndexSwap {
swaps: Vec<IndexSwap>,
},
DocumentAdditionOrUpdate { received_documents: u64, indexed_documents: Option<u64> },
SettingsUpdate { settings: Box<Settings<Unchecked>> },
IndexInfo { primary_key: Option<String> },
DocumentDeletion { provided_ids: usize, deleted_documents: Option<u64> },
DocumentDeletionByFilter { original_filter: String, deleted_documents: Option<u64> },
ClearAll { deleted_documents: Option<u64> },
TaskCancelation { matched_tasks: u64, canceled_tasks: Option<u64>, original_filter: String },
TaskDeletion { matched_tasks: u64, deleted_tasks: Option<u64>, original_filter: String },
Dump { dump_uid: Option<String> },
IndexSwap { swaps: Vec<IndexSwap> },
}
impl Details {
@@ -583,7 +514,6 @@ impl Details {
Self::DocumentAdditionOrUpdate { indexed_documents, .. } => {
*indexed_documents = Some(0)
}
Self::DocumentEdition { edited_documents, .. } => *edited_documents = Some(0),
Self::DocumentDeletion { deleted_documents, .. } => *deleted_documents = Some(0),
Self::DocumentDeletionByFilter { deleted_documents, .. } => {
*deleted_documents = Some(0)

View File

@@ -10,52 +10,38 @@ 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)?;
let version_path = db_path.join(VERSION_FILE_NAME);
match fs::read_to_string(version_path) {
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()),
};
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(())
}
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()),
},
}
}
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))
}
#[derive(thiserror::Error, Debug)]
pub enum VersionFileError {
#[error(
@@ -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

@@ -17,7 +17,7 @@ actix-cors = "0.7.0"
actix-http = { version = "3.8.0", default-features = false, features = [
"compress-brotli",
"compress-gzip",
"rustls-0_23",
"rustls-0_21",
] }
actix-utils = "3.0.1"
actix-web = { version = "4.8.0", default-features = false, features = [
@@ -25,7 +25,7 @@ actix-web = { version = "4.8.0", default-features = false, features = [
"compress-brotli",
"compress-gzip",
"cookies",
"rustls-0_23",
"rustls-0_21",
] }
anyhow = { version = "1.0.86", features = ["backtrace"] }
async-trait = "0.1.81"
@@ -72,10 +72,9 @@ reqwest = { version = "0.12.5", features = [
"rustls-tls",
"json",
], default-features = false }
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" }
rustls = "0.21.12"
rustls-pemfile = "1.0.4"
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"
@@ -103,8 +102,6 @@ tracing-subscriber = { version = "0.3.18", features = ["json"] }
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 +112,6 @@ 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]
@@ -129,10 +125,11 @@ reqwest = { version = "0.12.5", features = [
sha-1 = { version = "0.10.1", optional = true }
static-files = { version = "0.2.4", optional = true }
tempfile = { version = "3.10.1", optional = true }
zip = { version = "2.1.3", optional = true }
zip = { version = "2.1.3", default-features = false, features = ["deflate"], 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 +150,7 @@ 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 +1,102 @@
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::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_queries(_: &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 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::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 {
$event_name
}
fn aggregate(self: Box<Self>, _other: Box<Self>) -> Box<Self> {
self
}
fn into_event(self: Box<Self>) -> serde_json::Value {
serde_json::json!({})
}
}
};
}
#[cfg(feature = "analytics")]
pub type SearchAggregator = segment_analytics::SearchAggregator;
#[cfg(feature = "analytics")]
pub type SimilarAggregator = segment_analytics::SimilarAggregator;
#[cfg(feature = "analytics")]
pub type MultiSearchAggregator = segment_analytics::MultiSearchAggregator;
#[cfg(feature = "analytics")]
pub type FacetSearchAggregator = segment_analytics::FacetSearchAggregator;
/// The Meilisearch config dir:
/// `~/.config/Meilisearch` on *NIX or *BSD.
@@ -79,88 +78,52 @@ pub enum DocumentFetchKind {
Normal { with_filter: bool, limit: usize, offset: usize, retrieve_vectors: bool },
}
/// To send an event to segment, your event must be able to aggregate itself with another event of the same type.
pub trait Aggregate: 'static + mopa::Any + Send {
/// The name of the event that will be sent to segment.
fn event_name(&self) -> &'static str;
/// Will be called every time an event has been used twice before segment flushed its buffer.
fn aggregate(self: Box<Self>, new: Box<Self>) -> Box<Self>
where
Self: Sized;
/// Converts your structure to the final event that'll be sent to segment.
fn into_event(self: Box<Self>) -> serde_json::Value;
}
mopafy!(Aggregate);
/// Helper trait to define multiple aggregates with the same content but a different name.
/// Commonly used when you must aggregate a search with POST or with GET, for example.
pub trait AggregateMethod: 'static + Default + Send {
fn event_name() -> &'static str;
}
/// A macro used to quickly define multiple aggregate method with their name
/// Usage:
/// ```rust
/// use meilisearch::aggregate_methods;
///
/// aggregate_methods!(
/// SearchGET => "Documents Searched GET",
/// SearchPOST => "Documents Searched POST",
/// );
/// ```
#[macro_export]
macro_rules! aggregate_methods {
($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 a 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 a update documents request
fn update_documents(
&self,
documents_query: &UpdateDocumentsQuery,
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 +27,6 @@ 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.")]
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")]
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 +57,7 @@ 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,
}
@@ -101,16 +86,6 @@ impl ErrorCode for MeilisearchHttpError {
MeilisearchHttpError::DocumentFormat(e) => e.error_code(),
MeilisearchHttpError::Join(_) => Code::Internal,
MeilisearchHttpError::MissingSearchHybrid => Code::MissingSearchHybrid,
MeilisearchHttpError::FederationOptionsInNonFederatedRequest(_) => {
Code::InvalidMultiSearchFederationOptions
}
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(),
@@ -174,14 +151,18 @@ async fn run_http(
.keep_alive(KeepAlive::Os);
if let Some(config) = opt_clone.get_ssl_config()? {
http_server.bind_rustls_0_23(opt_clone.http_addr, config)?.run().await?;
http_server.bind_rustls_021(opt_clone.http_addr, config)?.run().await?;
} else {
http_server.bind(&opt_clone.http_addr)?.run().await?;
}
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;
@@ -14,9 +14,11 @@ use clap::Parser;
use meilisearch_types::features::InstanceTogglableFeatures;
use meilisearch_types::milli::update::IndexerConfig;
use meilisearch_types::milli::ThreadPoolNoAbortBuilder;
use rustls::server::{ServerSessionMemoryCache, WebPkiClientVerifier};
use rustls::server::{
AllowAnyAnonymousOrAuthenticatedClient, AllowAnyAuthenticatedClient, ServerSessionMemoryCache,
};
use rustls::RootCertStore;
use rustls_pemfile::{certs, rsa_private_keys};
use rustls_pemfile::{certs, pkcs8_private_keys, rsa_private_keys};
use serde::{Deserialize, Serialize};
use sysinfo::{MemoryRefreshKind, RefreshKind, System};
use url::Url;
@@ -29,6 +31,7 @@ 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";
@@ -51,11 +54,8 @@ const MEILI_LOG_LEVEL: &str = "MEILI_LOG_LEVEL";
const MEILI_EXPERIMENTAL_LOGS_MODE: &str = "MEILI_EXPERIMENTAL_LOGS_MODE";
const MEILI_EXPERIMENTAL_REPLICATION_PARAMETERS: &str = "MEILI_EXPERIMENTAL_REPLICATION_PARAMETERS";
const MEILI_EXPERIMENTAL_ENABLE_LOGS_ROUTE: &str = "MEILI_EXPERIMENTAL_ENABLE_LOGS_ROUTE";
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 +209,7 @@ 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,
@@ -338,13 +339,6 @@ pub struct Opt {
#[serde(default)]
pub log_level: LogLevel,
/// Experimental contains filter feature. For more information, see: <https://github.com/orgs/meilisearch/discussions/763>
///
/// Enables the experimental contains filter operator.
#[clap(long, env = MEILI_EXPERIMENTAL_CONTAINS_FILTER)]
#[serde(default)]
pub experimental_contains_filter: bool,
/// Experimental metrics feature. For more information, see: <https://github.com/meilisearch/meilisearch/discussions/3518>
///
/// Enables the Prometheus metrics on the `GET /metrics` endpoint.
@@ -357,26 +351,10 @@ 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 +401,7 @@ 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 +481,10 @@ 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 +506,10 @@ impl Opt {
);
}
#[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(),
@@ -560,10 +540,6 @@ impl Opt {
export_to_env_if_not_present(MEILI_DUMP_DIR, dump_dir);
export_to_env_if_not_present(MEILI_LOG_LEVEL, log_level.to_string());
export_to_env_if_not_present(
MEILI_EXPERIMENTAL_CONTAINS_FILTER,
experimental_contains_filter.to_string(),
);
export_to_env_if_not_present(
MEILI_EXPERIMENTAL_ENABLE_METRICS,
experimental_enable_metrics.to_string(),
@@ -572,14 +548,6 @@ 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(),
@@ -601,21 +569,23 @@ impl Opt {
pub fn get_ssl_config(&self) -> anyhow::Result<Option<rustls::ServerConfig>> {
if let (Some(cert_path), Some(key_path)) = (&self.ssl_cert_path, &self.ssl_key_path) {
let config = rustls::ServerConfig::builder();
let config = rustls::ServerConfig::builder().with_safe_defaults();
let config = match &self.ssl_auth_path {
Some(auth_path) => {
let roots = load_certs(auth_path.to_path_buf())?;
let mut client_auth_roots = RootCertStore::empty();
for root in roots {
client_auth_roots.add(root).unwrap();
client_auth_roots.add(&root).unwrap();
}
let mut client_verifier =
WebPkiClientVerifier::builder(client_auth_roots.into());
if !self.ssl_require_auth {
client_verifier = client_verifier.allow_unauthenticated();
if self.ssl_require_auth {
let verifier = AllowAnyAuthenticatedClient::new(client_auth_roots);
config.with_client_cert_verifier(Arc::from(verifier))
} else {
let verifier =
AllowAnyAnonymousOrAuthenticatedClient::new(client_auth_roots);
config.with_client_cert_verifier(Arc::from(verifier))
}
config.with_client_cert_verifier(client_verifier.build()?)
}
None => config.with_no_client_auth(),
};
@@ -624,7 +594,7 @@ impl Opt {
let privkey = load_private_key(key_path.to_path_buf())?;
let ocsp = load_ocsp(&self.ssl_ocsp_path)?;
let mut config = config
.with_single_cert_with_ocsp(certs, privkey, ocsp)
.with_single_cert_with_ocsp_and_sct(certs, privkey, ocsp, vec![])
.map_err(|_| anyhow::anyhow!("bad certificates/private key"))?;
config.key_log = Arc::new(rustls::KeyLogFile::new());
@@ -634,7 +604,7 @@ impl Opt {
}
if self.ssl_tickets {
config.ticketer = rustls::crypto::ring::Ticketer::new().unwrap();
config.ticketer = rustls::Ticketer::new().unwrap();
}
Ok(Some(config))
@@ -647,7 +617,6 @@ impl Opt {
InstanceTogglableFeatures {
metrics: self.experimental_enable_metrics,
logs_route: self.experimental_enable_logs_route,
contains_filter: self.experimental_contains_filter,
}
}
}
@@ -800,26 +769,21 @@ impl Deref for MaxThreads {
}
}
fn load_certs(
filename: PathBuf,
) -> anyhow::Result<Vec<rustls::pki_types::CertificateDer<'static>>> {
fn load_certs(filename: PathBuf) -> anyhow::Result<Vec<rustls::Certificate>> {
let certfile =
fs::File::open(filename).map_err(|_| anyhow::anyhow!("cannot open certificate file"))?;
let mut reader = BufReader::new(certfile);
certs(&mut reader)
.collect::<Result<Vec<_>, _>>()
.map(|certs| certs.into_iter().map(rustls::Certificate).collect())
.map_err(|_| anyhow::anyhow!("cannot read certificate file"))
}
fn load_private_key(
filename: PathBuf,
) -> anyhow::Result<rustls::pki_types::PrivateKeyDer<'static>> {
fn load_private_key(filename: PathBuf) -> anyhow::Result<rustls::PrivateKey> {
let rsa_keys = {
let keyfile = fs::File::open(filename.clone())
.map_err(|_| anyhow::anyhow!("cannot open private key file"))?;
let mut reader = BufReader::new(keyfile);
rsa_private_keys(&mut reader)
.collect::<Result<Vec<_>, _>>()
.map_err(|_| anyhow::anyhow!("file contains invalid rsa private key"))?
};
@@ -827,21 +791,19 @@ fn load_private_key(
let keyfile = fs::File::open(filename)
.map_err(|_| anyhow::anyhow!("cannot open private key file"))?;
let mut reader = BufReader::new(keyfile);
rustls_pemfile::pkcs8_private_keys(&mut reader).collect::<Result<Vec<_>, _>>().map_err(
|_| {
pkcs8_private_keys(&mut reader).map_err(|_| {
anyhow::anyhow!(
"file contains invalid pkcs8 private key (encrypted keys not supported)"
)
},
)?
})?
};
// prefer to load pkcs8 keys
if !pkcs8_keys.is_empty() {
Ok(rustls::pki_types::PrivateKeyDer::Pkcs8(pkcs8_keys[0].clone_key()))
Ok(rustls::PrivateKey(pkcs8_keys[0].clone()))
} else {
assert!(!rsa_keys.is_empty());
Ok(rustls::pki_types::PrivateKeyDer::Pkcs1(rsa_keys[0].clone_key()))
Ok(rustls::PrivateKey(rsa_keys[0].clone()))
}
}
@@ -911,18 +873,6 @@ 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)
@@ -44,39 +47,6 @@ pub struct RuntimeTogglableFeatures {
pub metrics: Option<bool>,
#[deserr(default)]
pub logs_route: Option<bool>,
#[deserr(default)]
pub edit_documents_by_function: Option<bool>,
#[deserr(default)]
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(
@@ -86,7 +56,7 @@ 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");
@@ -96,33 +66,22 @@ async fn patch_features(
vector_store: new_features.0.vector_store.unwrap_or(old_features.vector_store),
metrics: new_features.0.metrics.unwrap_or(old_features.metrics),
logs_route: new_features.0.logs_route.unwrap_or(old_features.logs_route),
edit_documents_by_function: new_features
.0
.edit_documents_by_function
.unwrap_or(old_features.edit_documents_by_function),
contains_filter: new_features.0.contains_filter.unwrap_or(old_features.contains_filter),
};
// explicitly destructure for analytics rather than using the `Serialize` implementation, because
// the it renames to camelCase, which we don't want for analytics.
// **Do not** ignore fields with `..` or `_` here, because we want to add them in the future.
let meilisearch_types::features::RuntimeTogglableFeatures {
vector_store,
metrics,
logs_route,
edit_documents_by_function,
contains_filter,
} = new_features;
let meilisearch_types::features::RuntimeTogglableFeatures { vector_store, metrics, logs_route } =
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,
}),
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;
@@ -9,7 +7,7 @@ use bstr::ByteSlice as _;
use deserr::actix_web::{AwebJson, AwebQueryParameter};
use deserr::Deserr;
use futures::StreamExt;
use index_scheduler::{IndexScheduler, RoFeatures, TaskId};
use index_scheduler::{IndexScheduler, TaskId};
use meilisearch_types::deserr::query_params::Param;
use meilisearch_types::deserr::{DeserrJsonError, DeserrQueryParamError};
use meilisearch_types::document_formats::{read_csv, read_json, read_ndjson, PayloadType};
@@ -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()]
@@ -84,7 +82,6 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
web::resource("/delete-batch").route(web::post().to(SeqHandler(delete_documents_batch))),
)
.service(web::resource("/delete").route(web::post().to(SeqHandler(delete_documents_by_filter))))
.service(web::resource("/edit").route(web::post().to(SeqHandler(edit_documents_by_function))))
.service(web::resource("/fetch").route(web::post().to(SeqHandler(documents_by_query_post))))
.service(
web::resource("/{document_id}")
@@ -102,84 +99,12 @@ 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 +116,8 @@ 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 +128,17 @@ 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 +189,17 @@ 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 +212,7 @@ 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 +234,12 @@ 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,
);
@@ -380,15 +259,8 @@ fn documents_by_query(
let retrieve_vectors = RetrieveVectors::new(retrieve_vectors, features)?;
let index = index_scheduler.index(&index_uid)?;
let (total, documents) = retrieve_documents(
&index,
offset,
limit,
filter,
fields,
retrieve_vectors,
index_scheduler.features(),
)?;
let (total, documents) =
retrieve_documents(&index, offset, limit, filter, fields, retrieve_vectors)?;
let ret = PaginationView::new(offset, limit, total as usize, documents);
@@ -418,39 +290,6 @@ 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>,
@@ -458,34 +297,14 @@ 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,
},
&req,
);
analytics.add_documents(&params, index_scheduler.index(&index_uid).is_err(), &req);
let allow_index_creation = index_scheduler.filters().allow_index_creation(&index_uid);
let uid = get_task_id(&req, &opt)?;
@@ -515,34 +334,14 @@ 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,
},
&req,
);
analytics.update_documents(&params, index_scheduler.index(&index_uid).is_err(), &req);
let allow_index_creation = index_scheduler.filters().allow_index_creation(&index_uid);
let uid = get_task_id(&req, &opt)?;
@@ -709,20 +508,12 @@ 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()
@@ -755,27 +546,21 @@ 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())?
.ok_or(MeilisearchHttpError::EmptyFilter)?;
|| -> Result<_, ResponseError> {
Ok(crate::search::parse_filter(&filter)?.ok_or(MeilisearchHttpError::EmptyFilter)?)
}()
// and whatever was the error, the error code should always be an InvalidDocumentFilter
.map_err(|err| ResponseError::from_msg(err.message, Code::InvalidDocumentFilter))?;
let task = KindWithContent::DocumentDeletionByFilter { index_uid, filter_expr: filter };
let uid = get_task_id(&req, &opt)?;
@@ -789,131 +574,15 @@ pub async fn delete_documents_by_filter(
Ok(HttpResponse::Accepted().json(task))
}
#[derive(Debug, Deserr)]
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
pub struct DocumentEditionByFunction {
#[deserr(default, error = DeserrJsonError<InvalidDocumentFilter>)]
pub filter: Option<Value>,
#[deserr(default, error = DeserrJsonError<InvalidDocumentEditionContext>)]
pub context: Option<Value>,
#[deserr(error = DeserrJsonError<InvalidDocumentEditionFunctionFilter>, missing_field_error = DeserrJsonError::missing_document_edition_function)]
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>,
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?params, "Edit documents by function");
index_scheduler
.features()
.check_edit_documents_by_function("Using the documents edit route")?;
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
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(),
},
&req,
);
let DocumentEditionByFunction { filter, context, function } = params;
let engine = milli::rhai::Engine::new();
if let Err(e) = engine.compile(&function) {
return Err(ResponseError::from_msg(e.to_string(), Code::BadRequest));
}
if let Some(ref filter) = filter {
// we ensure the filter is well formed before enqueuing it
crate::search::parse_filter(
filter,
Code::InvalidDocumentFilter,
index_scheduler.features(),
)?
.ok_or(MeilisearchHttpError::EmptyFilter)?;
}
let task = KindWithContent::DocumentEdition {
index_uid,
filter_expr: filter,
context: match context {
Some(Value::Object(m)) => Some(m),
None => None,
_ => {
return Err(ResponseError::from_msg(
"The context must be an object".to_string(),
Code::InvalidDocumentEditionContext,
))
}
},
function,
};
let uid = get_task_id(&req, &opt)?;
let dry_run = is_dry_run(&req, &opt)?;
let task: SummarizedTaskView =
tokio::task::spawn_blocking(move || index_scheduler.register(task, uid, dry_run))
.await??
.into();
debug!(returns = ?task, "Edit documents by function");
Ok(HttpResponse::Accepted().json(task))
}
pub async fn clear_all_documents(
index_scheduler: GuardedData<ActionPolicy<{ actions::DOCUMENTS_DELETE }>, Data<IndexScheduler>>,
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)?;
@@ -934,11 +603,16 @@ fn some_documents<'a, 't: 'a>(
retrieve_vectors: RetrieveVectors,
) -> Result<impl Iterator<Item = Result<Document, ResponseError>> + 'a, ResponseError> {
let fields_ids_map = index.fields_ids_map(rtxn)?;
let dictionary = index.document_decompression_dictionary(rtxn)?;
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
let embedding_configs = index.embedding_configs(rtxn)?;
let mut buffer = Vec::new();
Ok(index.iter_documents(rtxn, doc_ids)?.map(move |ret| {
ret.map_err(ResponseError::from).and_then(|(key, document)| -> Result<_, ResponseError> {
Ok(index.iter_compressed_documents(rtxn, doc_ids)?.map(move |ret| {
ret.map_err(ResponseError::from).and_then(
|(key, compressed_document)| -> Result<_, ResponseError> {
let document = compressed_document
.decompress_with_optional_dictionary(&mut buffer, dictionary.as_ref())?;
let mut document = milli::obkv_to_json(&all_fields, &fields_ids_map, document)?;
match retrieve_vectors {
RetrieveVectors::Ignore => {}
@@ -963,7 +637,8 @@ fn some_documents<'a, 't: 'a>(
};
vectors.insert(
name,
serde_json::to_value(embeddings).map_err(MeilisearchHttpError::from)?,
serde_json::to_value(embeddings)
.map_err(MeilisearchHttpError::from)?,
);
}
document.insert("_vectors".into(), vectors.into());
@@ -971,7 +646,8 @@ fn some_documents<'a, 't: 'a>(
}
Ok(document)
})
},
)
}))
}
@@ -982,12 +658,12 @@ fn retrieve_documents<S: AsRef<str>>(
filter: Option<Value>,
attributes_to_retrieve: Option<Vec<S>>,
retrieve_vectors: RetrieveVectors,
features: RoFeatures,
) -> Result<(u64, Vec<Document>), ResponseError> {
let rtxn = index.read_txn()?;
let filter = &filter;
let filter = if let Some(filter) = filter {
parse_filter(filter, Code::InvalidDocumentFilter, features)?
parse_filter(filter)
.map_err(|err| ResponseError::from_msg(err.to_string(), Code::InvalidDocumentFilter))?
} else {
None
};

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.
@@ -186,26 +77,16 @@ 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,
search_query,
facet_query,
facet_name,
search_kind,
index_scheduler.features(),
locales,
)
perform_facet_search(&index, search_query, facet_query, facet_name, search_kind)
})
.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 +106,6 @@ impl From<FacetSearchQuery> for SearchQuery {
attributes_to_search_on,
hybrid,
ranking_score_threshold,
locales,
} = value;
SearchQuery {
@@ -254,7 +134,6 @@ 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())
perform_search(&index, query, search_kind, retrieve_vector)
})
.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())
perform_search(&index, query, search_kind, retrieve_vectors)
})
.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 => {
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(
match &query.hybrid {
Some(HybridQuery { semantic_ratio, embedder }) if **semantic_ratio == 1.0 => {
Ok(SearchKind::semantic(
index_scheduler,
index,
embedder,
embedder.as_deref(),
query.vector.as_ref().map(Vec::len),
)?)
}
Some(HybridQuery { semantic_ratio, embedder: _ }) if **semantic_ratio == 0.0 => {
Ok(SearchKind::KeywordOnly)
}
Some(HybridQuery { semantic_ratio, embedder }) => Ok(SearchKind::hybrid(
index_scheduler,
index,
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
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!(
"/localized-attributes",
put,
Vec<meilisearch_types::locales::LocalizedAttributesRuleView>,
meilisearch_types::deserr::DeserrJsonError<
meilisearch_types::error::deserr_codes::InvalidSettingsLocalizedAttributes,
>,
localized_attributes,
"localizedAttributes",
LocalesAnalytics
}
);
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!(
@@ -354,8 +569,59 @@ 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",
@@ -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(),
),
"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(", ")),
},
&req,
"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?;
@@ -103,19 +102,11 @@ 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(
&index,
query,
embedder_name,
embedder,
quantized,
retrieve_vectors,
index_scheduler.features(),
)
perform_similar(&index, query, embedder_name, embedder, retrieve_vectors)
})
.await?
}
@@ -141,8 +132,8 @@ 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

@@ -9,20 +9,16 @@ use meilisearch_types::keys::actions;
use serde::Serialize;
use tracing::debug;
use crate::analytics::Analytics;
use crate::error::MeilisearchHttpError;
use crate::analytics::{Analytics, MultiSearchAggregator};
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::{AuthenticationError, GuardedData};
use crate::extractors::sequential_extractor::SeqHandler;
use crate::routes::indexes::search::search_kind;
use crate::search::{
add_search_rules, perform_federated_search, perform_search, FederatedSearch, RetrieveVectors,
SearchQueryWithIndex, SearchResultWithIndex,
add_search_rules, perform_search, RetrieveVectors, SearchQueryWithIndex, SearchResultWithIndex,
};
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))));
}
@@ -32,87 +28,46 @@ struct SearchResults {
results: Vec<SearchResultWithIndex>,
}
#[derive(Debug, deserr::Deserr)]
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
pub struct SearchQueries {
queries: Vec<SearchQueryWithIndex>,
}
pub async fn multi_search_with_post(
index_scheduler: GuardedData<ActionPolicy<{ actions::SEARCH }>, Data<IndexScheduler>>,
search_queue: Data<SearchQueue>,
params: AwebJson<FederatedSearch, DeserrJsonError>,
params: AwebJson<SearchQueries, 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 federated_search = params.into_inner();
let mut multi_aggregate = MultiSearchAggregator::from_federated_search(&federated_search);
let FederatedSearch { mut queries, federation } = federated_search;
let queries = params.into_inner().queries;
let mut multi_aggregate = MultiSearchAggregator::from_queries(&queries, &req);
let features = index_scheduler.features();
// regardless of federation, check authorization and apply search rules
let auth = 'check_authorization: {
for (query_index, federated_query) in queries.iter_mut().enumerate() {
let index_uid = federated_query.index_uid.as_str();
// Check index from API key
if !index_scheduler.filters().is_index_authorized(index_uid) {
break 'check_authorization Err(AuthenticationError::InvalidToken)
.with_index(query_index);
}
// Apply search rules from tenant token
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(index_uid)
{
add_search_rules(&mut federated_query.filter, search_rules);
}
}
Ok(())
};
// 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?;
auth.map_err(|(mut err, query_index)| {
// Add the query index that failed as context for the error message.
// We're doing it only here and not directly in the `WithIndex` trait so that the `with_index` function returns a different type
// of result and we can benefit from static typing.
err.message = format!("Inside `.queries[{query_index}]`: {}", err.message);
err
})?;
let response = match federation {
Some(federation) => {
let search_result = tokio::task::spawn_blocking(move || {
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);
HttpResponse::Ok().json(search_result??)
}
None => {
// Explicitly expect a `(ResponseError, usize)` for the error type rather than `ResponseError` only,
// so that `?` doesn't work if it doesn't use `with_index`, ensuring that it is not forgotten in case of code
// changes.
let search_results: Result<_, (ResponseError, usize)> = async {
let mut search_results = Vec::with_capacity(queries.len());
for (query_index, (index_uid, query, federation_options)) in queries
.into_iter()
.map(SearchQueryWithIndex::into_index_query_federation)
.enumerate()
for (query_index, (index_uid, mut query)) in
queries.into_iter().map(SearchQueryWithIndex::into_index_query).enumerate()
{
debug!(on_index = query_index, parameters = ?query, "Multi-search");
if federation_options.is_some() {
return Err((
MeilisearchHttpError::FederationOptionsInNonFederatedRequest(
query_index,
)
.into(),
query_index,
));
// Check index from API key
if !index_scheduler.filters().is_index_authorized(&index_uid) {
return Err(AuthenticationError::InvalidToken).with_index(query_index);
}
// Apply search rules from tenant token
if let Some(search_rules) = index_scheduler.filters().get_index_search_rules(&index_uid)
{
add_search_rules(&mut query.filter, search_rules);
}
let index = index_scheduler
@@ -126,14 +81,13 @@ pub async fn multi_search_with_post(
})
.with_index(query_index)?;
let search_kind =
search_kind(&query, index_scheduler.get_ref(), &index, features)
.with_index(query_index)?;
let retrieve_vector = RetrieveVectors::new(query.retrieve_vectors, features)
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index, features)
.with_index(query_index)?;
let retrieve_vector =
RetrieveVectors::new(query.retrieve_vectors, features).with_index(query_index)?;
let search_result = tokio::task::spawn_blocking(move || {
perform_search(&index, query, search_kind, retrieve_vector, features)
perform_search(&index, query, search_kind, retrieve_vector)
})
.await
.with_index(query_index)?;
@@ -146,12 +100,11 @@ 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.
@@ -163,11 +116,7 @@ pub async fn multi_search_with_post(
debug!(returns = ?search_results, "Multi-search");
HttpResponse::Ok().json(SearchResults { results: search_results })
}
};
Ok(response)
Ok(HttpResponse::Ok().json(SearchResults { results: search_results }))
}
/// Local `Result` extension trait to avoid `map_err` boilerplate.

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(
@@ -650,7 +591,7 @@ mod tests {
let err = deserr_query_params::<TaskDeletionOrCancelationQuery>(params).unwrap_err();
snapshot!(meili_snap::json_string!(err), @r###"
{
"message": "Invalid value in parameter `types`: `createIndex` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"message": "Invalid value in parameter `types`: `createIndex` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"

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