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142 Commits

Author SHA1 Message Date
Louis Dureuil
9bd3482230 WIP 2025-10-14 09:09:33 +02:00
Louis Dureuil
d6e4e414d7 Refactor export route subroutine, add extra-header support 2025-10-13 11:53:31 +02:00
Louis Dureuil
c0617efe76 Extract part of the implementation of the network route 2025-10-09 17:01:02 +02:00
Louis Dureuil
8316c36648 Take &str where possible instead of String 2025-10-09 16:49:33 +02:00
Louis Dureuil
572bae9da1 Pass tokio handle to index-scheduler 2025-10-09 13:58:44 +02:00
Louis Dureuil
2a330dce83 Update easy snapshot 2025-09-23 17:43:03 +02:00
Louis Dureuil
d62a6b6f0d Make network route async 2025-09-23 16:38:22 +02:00
Louis Dureuil
58b8630862 Add existing errors as UserError as they will now be triggered inside of the task 2025-09-23 16:37:59 +02:00
Louis Dureuil
0703767fc6 Add a process network task type 2025-09-23 16:35:48 +02:00
Louis Dureuil
e0c97325d6 Allow to register a NetworkTopologyChange task 2025-09-23 16:34:28 +02:00
Louis Dureuil
0f3ef8de73 move Network route types to meilisearch_types and prefix existing ones by Db 2025-09-23 16:32:34 +02:00
Louis Dureuil
7313cefd74 Add itertools 2025-09-23 16:25:41 +02:00
Louis Dureuil
7fb4404928 Merge pull request #5758 from meilisearch/cellulite
Cellulite integration
2025-09-23 12:48:13 +00:00
Tamo
8405f0bf9c fmt 2025-09-23 13:55:36 +02:00
Tamo
3a7f9b56fe update cellulite 2025-09-23 13:55:36 +02:00
Louis Dureuil
61034e2e2e write geojson in obkv 2025-09-23 13:55:36 +02:00
Tamo
108d6d3344 remove a bunch of useless logs 2025-09-23 13:55:36 +02:00
Tamo
35bd00f6a1 continue previous commit 2025-09-23 13:55:36 +02:00
Tamo
69059d67ef stop returning the geojson field when iterating on the fields 2025-09-23 13:55:36 +02:00
Tamo
e13783103f use the CELLULITE constant 2025-09-23 13:55:36 +02:00
Tamo
f719665c4e update the filter-parser after updating its error messages 2025-09-23 13:55:36 +02:00
Tamo
638f284614 densify the shapes before storing them 2025-09-23 13:55:36 +02:00
Tamo
32ac98ed95 style improvement 2025-09-23 13:55:36 +02:00
Tamo
46aee695ca review the filters errors 2025-09-23 13:55:36 +02:00
Tamo
716c67f858 review and fix all error codes 2025-09-23 13:55:36 +02:00
Tamo
fec10bb2d6 update cellulite to the latest version 2025-09-23 13:55:36 +02:00
Mubelotix
3dac2cf73e Update tests 2025-09-23 13:55:36 +02:00
Mubelotix
03eca800e6 Support _geoRadius 2025-09-23 13:55:36 +02:00
Mubelotix
28fa2e960e Tolerate trailing comma 2025-09-23 13:55:36 +02:00
Mubelotix
a3b9220f84 Improve error message 2025-09-23 13:55:36 +02:00
Mubelotix
c09d48edf2 Fix coordinates order in filters 2025-09-23 13:55:36 +02:00
Mubelotix
ae4ab0ebbb Improve filter parser errors 2025-09-23 13:55:36 +02:00
Mubelotix
900a9a6d59 Reduce identations 2025-09-23 13:55:36 +02:00
Mubelotix
fc560e6730 Improve geo polygon errors 2025-09-23 13:55:36 +02:00
Mubelotix
e2a06470b7 Update tests 2025-09-23 13:55:36 +02:00
Mubelotix
ada27323f2 Rename file 2025-09-23 13:55:36 +02:00
Mubelotix
607a1c2395 Add geo bounding box filter 2025-09-23 13:55:36 +02:00
Mubelotix
b56956ea0c Optimize geojson channels 2025-09-23 13:55:36 +02:00
Mubelotix
3d21290f7f Add cellulite database sizes 2025-09-23 13:55:36 +02:00
Mubelotix
4edd4c06bc Fix trivial clippy warnings 2025-09-23 13:55:36 +02:00
Mubelotix
566baddc6b Optimize points removed serialization 2025-09-23 13:55:36 +02:00
Tamo
febe3186ce improve deletion 2025-09-23 13:55:36 +02:00
Tamo
5dd42c1871 remove useless log 2025-09-23 13:55:36 +02:00
Tamo
8670793e6e fix the cellulite spilling bug 2025-09-23 13:55:36 +02:00
Tamo
41a04aa3ab fix the cellulite integration 2025-09-23 13:55:36 +02:00
Tamo
88f841bc05 plug in the document deletion in cellulite 2025-09-23 13:55:36 +02:00
Tamo
d19892d2ea update to the latest version of cellulite and steppe 2025-09-23 13:55:36 +02:00
Tamo
c0905d6650 add the deletion in the new indexer 2025-09-23 13:55:36 +02:00
Tamo
576d7d94b1 fix the old indexer 2025-09-23 13:55:36 +02:00
Tamo
f4f1334b62 add a new _geoPolygon filter to query the cellulite database 2025-09-23 13:55:36 +02:00
Tamo
aaff6c3685 fmt 2025-09-23 13:55:36 +02:00
Tamo
42d2af4c84 finish plugin cellulite to the new indexer 2025-09-23 13:55:36 +02:00
Tamo
6be91c824c Cellulite is almost in the new indexer. We must add the documentID to the geojson pipeline 2025-09-23 13:55:36 +02:00
Tamo
6ee0537db8 add an extractor for cellulite in the new pipeline 2025-09-23 13:55:36 +02:00
Tamo
3fbeff4308 add cellulite to the old pipeline, it probably doesn't works 2025-09-23 13:55:36 +02:00
Tamo
375546b61a add a few helpers 2025-09-23 13:55:36 +02:00
Tamo
25a1d50763 add cellulite to the index 2025-09-23 13:55:36 +02:00
Louis Dureuil
4fe073cc1a Merge pull request #5896 from meilisearch/fix-doc-template
Document template: Correctly render when indexing first item in array
2025-09-22 07:20:38 +00:00
Clément Renault
5cd3d36d20 Merge pull request #5897 from meilisearch/improve-prom
improve the prometheus content type we return
2025-09-18 16:18:16 +00:00
Tamo
d7ad76ea1e improve the prometheus content type we return 2025-09-18 17:04:13 +02:00
Louis Dureuil
e82bb93221 Fix indexing bug 2025-09-18 16:57:20 +02:00
Clément Renault
000cb93aad Merge pull request #5895 from meilisearch/fix-ci
Update the dtolnay action to 1.89
2025-09-18 14:56:45 +00:00
Tamo
ad4f5514b9 update the dtolnay action to 1.89 2025-09-18 15:52:39 +02:00
Louis Dureuil
8d29a29867 Merge pull request #5894 from meilisearch/fix-hannoy-unreachable-items
Bump Hannoy to fix unreachable documents
2025-09-18 13:33:34 +00:00
Kerollmops
d7de819d11 Bump Hannoy to fix unreachable documents 2025-09-18 14:26:13 +02:00
Tamo
e43d67591c Merge pull request #5892 from meilisearch/increase-msrv
increase rust version from 1.85 to 1.89
2025-09-17 08:26:08 +00:00
Tamo
134237d1eb update the toolchain for rustfmt 2025-09-16 17:45:49 +02:00
Tamo
26d9070aa7 increase rust version from 1.85 to 1.89 2025-09-16 17:21:33 +02:00
Louis Dureuil
06b3ca9eb5 Merge pull request #5890 from meilisearch/upgrade-dumpless-for-v1.21
Update dumpless upgrade for v1.21
2025-09-15 09:47:52 +00:00
Louis Dureuil
7dc1c03a36 Update dumpless upgrade for v1.21 2025-09-15 10:46:40 +02:00
Louis Dureuil
0b74722a73 Merge pull request #5848 from meilisearch/update-charabia-v0.9.7
Add Persian support (update charabia to v0.9.7)
2025-09-15 08:22:11 +00:00
ManyTheFish
0f80249b70 Update Charabia v0.9.7 2025-09-15 09:33:21 +02:00
Tamo
a9b8a60320 Merge pull request #5886 from meilisearch/fix-decoding-error
Allow missing `search_fragments` and `indexing_fragments`
2025-09-11 14:13:57 +00:00
Louis Dureuil
fd795c513b add documentation warnings 2025-09-10 09:44:41 +02:00
Louis Dureuil
ce136ec0c1 Support missing search_fragments and indexing_fragments 2025-09-10 09:43:39 +02:00
Tamo
4d4f6d2c20 Merge pull request #5767 from meilisearch/arroy-becomes-hannoy
Add index setting to switch from arroy to hannoy
2025-09-09 17:59:45 +00:00
Louis Dureuil
4cc8fb2c5c Add comment about upgrade procedure
Co-authored-by: Tamo <tamo@meilisearch.com>
2025-09-09 17:42:33 +02:00
Tamo
5d47590f3e Merge pull request #5884 from meilisearch/fix-the-progress-trace
Fix the quantic progress trace
2025-09-09 15:01:19 +00:00
Louis Dureuil
16461a9145 add unit test 2025-09-09 14:58:14 +02:00
Tamo
17810394b8 fix the quantic progress trace 2025-09-09 11:04:54 +02:00
Louis Dureuil
15690b9e22 Merge branch 'main' into arroy-becomes-hannoy 2025-09-08 17:05:05 +02:00
Louis Dureuil
a8cd81c7f4 get_vector_store returns an option, handles it in Index::settings 2025-09-08 16:53:57 +02:00
Louis Dureuil
6376571df0 Add VectorStoreBackend to the list of components 2025-09-08 16:44:16 +02:00
Louis Dureuil
cfb040e647 remove extraneous space 2025-09-08 16:41:48 +02:00
Louis Dureuil
f54773781a Revert the fake 1.22 in index-scheduler as well 2025-09-08 15:00:02 +02:00
Louis Dureuil
13df964564 Adopt neutral terminology where arroy/hannoy would be confusing 2025-09-03 16:11:40 +02:00
Louis Dureuil
0faf495173 cargo fmt 2025-09-03 14:49:24 +02:00
Louis Dureuil
c32c74671d Rename HannoyStats to VectorStoreStats
The stats can be provided by any backend
2025-09-03 14:45:31 +02:00
Louis Dureuil
b05bcf2c13 happy clippy 2025-09-03 14:13:08 +02:00
Louis Dureuil
90cc5263f6 Remove MEILI_EMBEDDINGS_CHUNK_SIZE 2025-09-03 13:57:58 +02:00
Louis Dureuil
424d0e277e Merge branch 'main' into arroy-becomes-hannoy-with-sharding 2025-09-03 13:46:35 +02:00
Louis Dureuil
34eba61c0d Add new tests 2025-09-03 13:42:56 +02:00
Louis Dureuil
687260bc13 Change approach to arroy <-> migration after encountering multiple issues 2025-09-02 17:49:22 +02:00
Louis Dureuil
6b6e69b07a rename Arroy to "stable" and Hannoy to "experimental" in setting values 2025-09-02 14:52:43 +02:00
Louis Dureuil
a25111f32e get old backend before it mutates 2025-09-02 14:52:18 +02:00
Louis Dureuil
c4848e6cc0 Set back snapshot to what it was 2025-09-01 17:56:20 +02:00
Louis Dureuil
454581dbc9 Support progress 2025-09-01 17:48:50 +02:00
Louis Dureuil
bc5100dddd Update snap 2025-09-01 17:01:01 +02:00
Louis Dureuil
118c6da64d Update hannoy to v0.0.5 2025-09-01 16:42:08 +02:00
Louis Dureuil
a989f52657 Fix signature of backend change function 2025-09-01 16:38:39 +02:00
Louis Dureuil
a8cc66899c Derive ToSchema for VectorStoreBackend 2025-09-01 16:38:18 +02:00
Louis Dureuil
c9cc748f42 Mark get_vector_store as public 2025-09-01 16:37:52 +02:00
Louis Dureuil
4ccce18d7b Add settings route 2025-09-01 16:36:24 +02:00
Louis Dureuil
00d1006cd9 add experimental feature 2025-09-01 16:35:48 +02:00
Louis Dureuil
8933d87031 Make backend change cancelable 2025-09-01 12:10:57 +02:00
Louis Dureuil
231f86decf Refer to v1.19 and remove arroy -> hannoy dumpless upgrade 2025-09-01 12:10:13 +02:00
Louis Dureuil
381de52fc5 Add setting to change backend 2025-09-01 12:09:18 +02:00
Louis Dureuil
5fc7872ab3 Make sure the vector store works with both arroy and hannoy 2025-08-28 16:32:47 +02:00
Louis Dureuil
b2f2807a94 Integrate arroy with conversion capabilities 2025-08-28 14:43:04 +02:00
Louis Dureuil
da6fffdf6d Switch from version to backend selector 2025-08-26 17:49:56 +02:00
Louis Dureuil
b5f0c19406 Split the vector module in submodules 2025-08-26 16:32:17 +02:00
Louis Dureuil
fb7ccc0db3 remove v1_17 2025-08-26 10:25:20 +02:00
Louis Dureuil
69a84fbfe6 update to v1.22 2025-08-26 10:25:19 +02:00
Clément Renault
31cb960992 Make clippy happy 2025-08-26 10:19:55 +02:00
Clément Renault
6d9e0c4bce Switch to hannoy 0.0.4 2025-08-26 10:19:54 +02:00
Kerollmops
a8e9597f49 Make cargo insta happy 2025-08-26 10:19:54 +02:00
Kerollmops
f4147a60a3 Remove the vector_store reference 2025-08-26 10:19:54 +02:00
Clément Renault
5139dd273e Depend on Hannoy from crates.io 2025-08-26 10:19:54 +02:00
Mubelotix
72c63d3929 Move code to the right file 2025-08-26 10:19:54 +02:00
Clément Renault
97ea9e9937 Make cargo fmt happy 2025-08-26 10:19:54 +02:00
Clément Renault
4645813ea8 Make clippy happy 2025-08-26 10:19:54 +02:00
Clément Renault
fb68f1241c Dispatch the vector store based on the index version 2025-08-26 10:19:54 +02:00
Clément Renault
f5f2f7c6f2 Make the VectorStore aware of the index version 2025-08-26 10:19:53 +02:00
Clément Renault
6340412219 Expose Hannoy progress when upgrading 2025-08-26 10:19:53 +02:00
Louis Dureuil
6e4dfa0168 First version of Hannoy dumpless upgrade 2025-08-26 10:19:52 +02:00
Clément Renault
0d4b78a217 Integrate the hannoy progress 2025-08-26 09:44:23 +02:00
Kerollmops
aef07f4bfa wip: Use Hamming when binary quantized 2025-08-26 09:44:23 +02:00
Clément Renault
0b3f983d27 Always use at least an ef = 100 when searching 2025-08-26 09:44:23 +02:00
Clément Renault
52d55ccd8e Switch to hannoy with support for deletions 2025-08-26 09:44:23 +02:00
Kerollmops
6d92c94bb3 Add a missing cancelation call for hannoy 2025-08-26 09:44:23 +02:00
Kerollmops
30110a0488 Reintroduce changing the distance from Cosine to Cosine binary quantized 2025-08-26 09:44:22 +02:00
Kerollmops
47cee7e1ea Bump Hannoy's version 2025-08-26 09:44:22 +02:00
Clément Renault
493d67ffd4 Increase efSearch from x2 to x10 2025-08-26 09:44:22 +02:00
Clément Renault
2b2559016a Increase efConstruction from 48 to 125 2025-08-26 09:44:22 +02:00
Clément Renault
6176b143bb remove-me: Introduce an env var to change the embeddings chunk size 2025-08-26 09:44:22 +02:00
Kerollmops
f9d0d1ddd6 Bump hannoy 2025-08-26 09:44:22 +02:00
Kerollmops
e50f970ab8 Use a more feature-full Hannoy version 2025-08-26 09:44:21 +02:00
Clément Renault
27550dafad Reintroduce arroy and support for dumpless upgrade from previous versions 2025-08-26 09:44:21 +02:00
Clément Renault
a7cd6853db Rename the vector store const name and keep the vector-arroy db name 2025-08-26 09:44:21 +02:00
Clément Renault
f51f7832a7 Rename the ArroyWrapper/HannoyWrapper into VectorStore 2025-08-26 09:44:21 +02:00
Clément Renault
a38a57acb6 Use constants as the hannoy default parameters 2025-08-26 09:44:21 +02:00
Kerollmops
affcaef556 Use Hannoy instead of arroy 2025-08-26 09:44:21 +02:00
205 changed files with 7707 additions and 3260 deletions

View File

@@ -18,7 +18,7 @@ jobs:
timeout-minutes: 180 # 3h
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -66,7 +66,7 @@ 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@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -12,7 +12,7 @@ jobs:
timeout-minutes: 180 # 3h
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -18,7 +18,7 @@ jobs:
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -44,7 +44,7 @@ jobs:
exit 1
fi
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -16,7 +16,7 @@ jobs:
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -15,7 +15,7 @@ jobs:
runs-on: benchmarks
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -15,7 +15,7 @@ jobs:
runs-on: benchmarks
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -15,7 +15,7 @@ jobs:
runs-on: benchmarks
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -17,7 +17,7 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
- name: Install cargo-flaky
run: cargo install cargo-flaky
- name: Run cargo flaky in the dumps

View File

@@ -12,7 +12,7 @@ jobs:
timeout-minutes: 4320 # 72h
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal

View File

@@ -25,7 +25,7 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
- name: Install cargo-deb
run: cargo install cargo-deb
- uses: actions/checkout@v5

View File

@@ -45,7 +45,7 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
- name: Build
run: cargo build --release --locked
# No need to upload binaries for dry run (cron)
@@ -75,7 +75,7 @@ jobs:
asset_name: meilisearch-windows-amd64.exe
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
- name: Build
run: cargo build --release --locked
# No need to upload binaries for dry run (cron)
@@ -101,7 +101,7 @@ jobs:
- name: Checkout repository
uses: actions/checkout@v5
- name: Installing Rust toolchain
uses: dtolnay/rust-toolchain@1.85
uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal
target: ${{ matrix.target }}
@@ -148,7 +148,7 @@ jobs:
add-apt-repository "deb [arch=$(dpkg --print-architecture)] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
apt-get update -y && apt-get install -y docker-ce
- name: Installing Rust toolchain
uses: dtolnay/rust-toolchain@1.85
uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal
target: ${{ matrix.target }}

View File

@@ -27,7 +27,7 @@ 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@1.85
uses: dtolnay/rust-toolchain@1.89
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.8.0
- name: Run cargo check without any default features
@@ -52,7 +52,7 @@ jobs:
- uses: actions/checkout@v5
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.8.0
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
- name: Run cargo check without any default features
uses: actions-rs/cargo@v1
with:
@@ -77,7 +77,7 @@ jobs:
run: |
apt-get update
apt-get install --assume-yes build-essential curl
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
- name: Run cargo build with almost all features
run: |
cargo build --workspace --locked --release --features "$(cargo xtask list-features --exclude-feature cuda,test-ollama)"
@@ -129,7 +129,7 @@ jobs:
run: |
apt-get update
apt-get install --assume-yes build-essential curl
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
- 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
@@ -153,7 +153,7 @@ jobs:
run: |
apt-get update && apt-get install -y curl
apt-get install build-essential -y
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.8.0
- name: Run tests in debug
@@ -167,7 +167,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal
components: clippy
@@ -184,7 +184,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal
toolchain: nightly-2024-07-09

View File

@@ -18,7 +18,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- uses: dtolnay/rust-toolchain@1.85
- uses: dtolnay/rust-toolchain@1.89
with:
profile: minimal
- name: Install sd

1696
Cargo.lock generated

File diff suppressed because it is too large Load Diff

View File

@@ -23,7 +23,7 @@ members = [
]
[workspace.package]
version = "1.20.0"
version = "1.21.0"
authors = [
"Quentin de Quelen <quentin@dequelen.me>",
"Clément Renault <clement@meilisearch.com>",

View File

@@ -1,5 +1,5 @@
# Compile
FROM rust:1.85-alpine3.20 AS compiler
FROM rust:1.89-alpine3.20 AS compiler
RUN apk add -q --no-cache build-base openssl-dev

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@@ -158,6 +158,10 @@ pub enum KindDump {
UpgradeDatabase {
from: (u32, u32, u32),
},
NetworkTopologyChange {
network: Option<meilisearch_types::enterprise_edition::network::Network>,
origin: Option<meilisearch_types::tasks::Origin>,
},
}
impl From<Task> for TaskDump {
@@ -240,6 +244,9 @@ impl From<KindWithContent> for KindDump {
KindWithContent::UpgradeDatabase { from: version } => {
KindDump::UpgradeDatabase { from: version }
}
KindWithContent::NetworkTopologyChange { network, origin } => {
KindDump::NetworkTopologyChange { network, origin }
}
}
}
}
@@ -253,7 +260,7 @@ pub(crate) mod test {
use big_s::S;
use maplit::{btreemap, btreeset};
use meilisearch_types::batches::{Batch, BatchEnqueuedAt, BatchStats};
use meilisearch_types::enterprise_edition::network::{Network, Remote};
use meilisearch_types::enterprise_edition::network::{DbNetwork, DbRemote};
use meilisearch_types::facet_values_sort::FacetValuesSort;
use meilisearch_types::features::RuntimeTogglableFeatures;
use meilisearch_types::index_uid_pattern::IndexUidPattern;
@@ -331,6 +338,7 @@ pub(crate) mod test {
facet_search: Setting::NotSet,
prefix_search: Setting::NotSet,
chat: Setting::NotSet,
vector_store: Setting::NotSet,
_kind: std::marker::PhantomData,
};
settings.check()
@@ -543,10 +551,10 @@ pub(crate) mod test {
RuntimeTogglableFeatures::default()
}
fn create_test_network() -> Network {
Network {
fn create_test_network() -> DbNetwork {
DbNetwork {
local: Some("myself".to_string()),
remotes: maplit::btreemap! {"other".to_string() => Remote { url: "http://test".to_string(), search_api_key: Some("apiKey".to_string()), write_api_key: Some("docApiKey".to_string()) }},
remotes: maplit::btreemap! {"other".to_string() => DbRemote { url: "http://test".to_string(), search_api_key: Some("apiKey".to_string()), write_api_key: Some("docApiKey".to_string()) }},
sharding: false,
}
}

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@@ -97,6 +97,7 @@ impl CompatV2ToV3 {
}
}
#[allow(clippy::large_enum_variant)]
pub enum CompatIndexV2ToV3 {
V2(v2::V2IndexReader),
Compat(Box<CompatIndexV1ToV2>),

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@@ -421,6 +421,7 @@ impl<T> From<v5::Settings<T>> for v6::Settings<v6::Unchecked> {
facet_search: v6::Setting::NotSet,
prefix_search: v6::Setting::NotSet,
chat: v6::Setting::NotSet,
vector_store: v6::Setting::NotSet,
_kind: std::marker::PhantomData,
}
}

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@@ -4,7 +4,7 @@ use std::io::{BufRead, BufReader, ErrorKind};
use std::path::Path;
pub use meilisearch_types::milli;
use meilisearch_types::milli::vector::hf::OverridePooling;
use meilisearch_types::milli::vector::embedder::hf::OverridePooling;
use tempfile::TempDir;
use time::OffsetDateTime;
use tracing::debug;
@@ -24,7 +24,7 @@ pub type Batch = meilisearch_types::batches::Batch;
pub type Key = meilisearch_types::keys::Key;
pub type ChatCompletionSettings = meilisearch_types::features::ChatCompletionSettings;
pub type RuntimeTogglableFeatures = meilisearch_types::features::RuntimeTogglableFeatures;
pub type Network = meilisearch_types::enterprise_edition::network::Network;
pub type Network = meilisearch_types::enterprise_edition::network::DbNetwork;
pub type Webhooks = meilisearch_types::webhooks::WebhooksDumpView;
// ===== Other types to clarify the code of the compat module

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@@ -5,7 +5,7 @@ use std::path::PathBuf;
use flate2::write::GzEncoder;
use flate2::Compression;
use meilisearch_types::batches::Batch;
use meilisearch_types::enterprise_edition::network::Network;
use meilisearch_types::enterprise_edition::network::DbNetwork;
use meilisearch_types::features::{ChatCompletionSettings, RuntimeTogglableFeatures};
use meilisearch_types::keys::Key;
use meilisearch_types::settings::{Checked, Settings};
@@ -72,7 +72,7 @@ impl DumpWriter {
)?)
}
pub fn create_network(&self, network: Network) -> Result<()> {
pub fn create_network(&self, network: DbNetwork) -> Result<()> {
Ok(std::fs::write(self.dir.path().join("network.json"), serde_json::to_string(&network)?)?)
}

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@@ -7,23 +7,14 @@
use nom::branch::alt;
use nom::bytes::complete::tag;
use nom::character::complete::char;
use nom::character::complete::multispace0;
use nom::character::complete::multispace1;
use nom::combinator::cut;
use nom::combinator::map;
use nom::combinator::value;
use nom::sequence::preceded;
use nom::sequence::{terminated, tuple};
use nom::character::complete::{char, multispace0, multispace1};
use nom::combinator::{cut, map, value};
use nom::sequence::{preceded, terminated, tuple};
use Condition::*;
use crate::error::IResultExt;
use crate::value::parse_vector_value;
use crate::value::parse_vector_value_cut;
use crate::Error;
use crate::ErrorKind;
use crate::VectorFilter;
use crate::{parse_value, FilterCondition, IResult, Span, Token};
use crate::value::{parse_vector_value, parse_vector_value_cut};
use crate::{parse_value, Error, ErrorKind, FilterCondition, IResult, Span, Token, VectorFilter};
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum Condition<'a> {
@@ -124,7 +115,7 @@ pub fn parse_not_exists(input: Span) -> IResult<FilterCondition> {
Ok((input, FilterCondition::Not(Box::new(FilterCondition::Condition { fid: key, op: Exists }))))
}
fn parse_vectors(input: Span) -> IResult<(Token, Option<Token>, VectorFilter<'_>)> {
fn parse_vectors(input: Span) -> IResult<(Token, Option<Token>, VectorFilter)> {
let (input, _) = multispace0(input)?;
let (input, fid) = tag("_vectors")(input)?;

View File

@@ -75,7 +75,11 @@ pub enum ExpectedValueKind {
pub enum ErrorKind<'a> {
ReservedGeo(&'a str),
GeoRadius,
GeoRadiusArgumentCount(usize),
GeoBoundingBox,
GeoPolygon,
GeoPolygonNotEnoughPoints(usize),
GeoCoordinatesNotPair(usize),
MisusedGeoRadius,
MisusedGeoBoundingBox,
VectorFilterLeftover,
@@ -189,7 +193,7 @@ impl Display for Error<'_> {
}
ErrorKind::InvalidPrimary => {
let text = if input.trim().is_empty() { "but instead got nothing.".to_string() } else { format!("at `{}`.", escaped_input) };
writeln!(f, "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, or `_geoBoundingBox` {}", text)?
writeln!(f, "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `CONTAINS`, `NOT CONTAINS`, `STARTS WITH`, `NOT STARTS WITH`, `_geoRadius`, `_geoBoundingBox` or `_geoPolygon` {text}")?
}
ErrorKind::InvalidEscapedNumber => {
writeln!(f, "Found an invalid escaped sequence number: `{}`.", escaped_input)?
@@ -198,11 +202,23 @@ impl Display for Error<'_> {
writeln!(f, "Found unexpected characters at the end of the filter: `{}`. You probably forgot an `OR` or an `AND` rule.", escaped_input)?
}
ErrorKind::GeoRadius => {
writeln!(f, "The `_geoRadius` filter expects three arguments: `_geoRadius(latitude, longitude, radius)`.")?
writeln!(f, "The `_geoRadius` filter must be in the form: `_geoRadius(latitude, longitude, radius, optionalResolution)`.")?
}
ErrorKind::GeoRadiusArgumentCount(count) => {
writeln!(f, "Was expecting 3 or 4 arguments for `_geoRadius`, but instead found {count}.")?
}
ErrorKind::GeoBoundingBox => {
writeln!(f, "The `_geoBoundingBox` filter expects two pairs of arguments: `_geoBoundingBox([latitude, longitude], [latitude, longitude])`.")?
}
ErrorKind::GeoPolygon => {
writeln!(f, "The `_geoPolygon` filter doesn't match the expected format: `_geoPolygon([latitude, longitude], [latitude, longitude])`.")?
}
ErrorKind::GeoPolygonNotEnoughPoints(n) => {
writeln!(f, "The `_geoPolygon` filter expects at least 3 points but only {n} were specified")?;
}
ErrorKind::GeoCoordinatesNotPair(number) => {
writeln!(f, "Was expecting 2 coordinates but instead found {number}.")?
}
ErrorKind::ReservedGeo(name) => {
writeln!(f, "`{}` is a reserved keyword and thus can't be used as a filter expression. Use the `_geoRadius(latitude, longitude, distance)` or `_geoBoundingBox([latitude, longitude], [latitude, longitude])` built-in rules to filter on `_geo` coordinates.", name.escape_debug())?
}

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@@ -19,6 +19,7 @@
//! word = (alphanumeric | _ | - | .)+
//! geoRadius = "_geoRadius(" WS* float WS* "," WS* float WS* "," float WS* ")"
//! geoBoundingBox = "_geoBoundingBox([" WS * float WS* "," WS* float WS* "], [" WS* float WS* "," WS* float WS* "]")
//! geoPolygon = "_geoPolygon([[" WS* float WS* "," WS* float WS* "],+])"
//! ```
//!
//! Other BNF grammar used to handle some specific errors:
@@ -116,7 +117,7 @@ impl<'a> Token<'a> {
self.span
}
pub fn parse_finite_float(&self) -> Result<f64, Error> {
pub fn parse_finite_float(&self) -> Result<f64, Error<'a>> {
let value: f64 = self.value().parse().map_err(|e| self.as_external_error(e))?;
if value.is_finite() {
Ok(value)
@@ -156,8 +157,9 @@ pub enum FilterCondition<'a> {
Or(Vec<Self>),
And(Vec<Self>),
VectorExists { fid: Token<'a>, embedder: Option<Token<'a>>, filter: VectorFilter<'a> },
GeoLowerThan { point: [Token<'a>; 2], radius: Token<'a> },
GeoLowerThan { point: [Token<'a>; 2], radius: Token<'a>, resolution: Option<Token<'a>> },
GeoBoundingBox { top_right_point: [Token<'a>; 2], bottom_left_point: [Token<'a>; 2] },
GeoPolygon { points: Vec<[Token<'a>; 2]> },
}
pub enum TraversedElement<'a> {
@@ -166,7 +168,7 @@ pub enum TraversedElement<'a> {
}
impl<'a> FilterCondition<'a> {
pub fn use_contains_operator(&self) -> Option<&Token> {
pub fn use_contains_operator(&self) -> Option<&Token<'a>> {
match self {
FilterCondition::Condition { fid: _, op } => match op {
Condition::GreaterThan(_)
@@ -189,11 +191,12 @@ impl<'a> FilterCondition<'a> {
FilterCondition::VectorExists { .. }
| FilterCondition::GeoLowerThan { .. }
| FilterCondition::GeoBoundingBox { .. }
| FilterCondition::GeoPolygon { .. }
| FilterCondition::In { .. } => None,
}
}
pub fn use_vector_filter(&self) -> Option<&Token> {
pub fn use_vector_filter(&self) -> Option<&Token<'a>> {
match self {
FilterCondition::Condition { .. } => None,
FilterCondition::Not(this) => this.use_vector_filter(),
@@ -202,12 +205,13 @@ impl<'a> FilterCondition<'a> {
}
FilterCondition::GeoLowerThan { .. }
| FilterCondition::GeoBoundingBox { .. }
| FilterCondition::GeoPolygon { .. }
| FilterCondition::In { .. } => None,
FilterCondition::VectorExists { fid, .. } => Some(fid),
}
}
pub fn fids(&self, depth: usize) -> Box<dyn Iterator<Item = &Token> + '_> {
pub fn fids(&self, depth: usize) -> Box<dyn Iterator<Item = &Token<'a>> + '_> {
if depth == 0 {
return Box::new(std::iter::empty());
}
@@ -228,7 +232,7 @@ impl<'a> FilterCondition<'a> {
}
/// 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> {
pub fn token_at_depth(&self, depth: usize) -> Option<&Token<'a>> {
match self {
FilterCondition::Condition { fid, .. } if depth == 0 => Some(fid),
FilterCondition::Or(subfilters) => {
@@ -396,23 +400,27 @@ fn parse_not(input: Span, depth: usize) -> IResult<FilterCondition> {
/// If we parse `_geoRadius` we MUST parse the rest of the expression.
fn parse_geo_radius(input: Span) -> IResult<FilterCondition> {
// we want to allow space BEFORE the _geoRadius but not after
let parsed = preceded(
tuple((multispace0, word_exact("_geoRadius"))),
let (input, _) = tuple((multispace0, word_exact("_geoRadius")))(input)?;
// if we were able to parse `_geoRadius` and can't parse the rest of the input we return a failure
cut(delimited(char('('), separated_list1(tag(","), ws(recognize_float)), char(')'))),
)(input)
.map_err(|e| e.map(|_| Error::new_from_kind(input, ErrorKind::GeoRadius)));
let parsed =
delimited(char('('), separated_list1(tag(","), ws(recognize_float)), char(')'))(input)
.map_cut(ErrorKind::GeoRadius);
let (input, args) = parsed?;
if args.len() != 3 {
return Err(nom::Err::Failure(Error::new_from_kind(input, ErrorKind::GeoRadius)));
if !(3..=4).contains(&args.len()) {
return Err(Error::failure_from_kind(input, ErrorKind::GeoRadiusArgumentCount(args.len())));
}
let res = FilterCondition::GeoLowerThan {
point: [args[0].into(), args[1].into()],
radius: args[2].into(),
resolution: args.get(3).cloned().map(Token::from),
};
Ok((input, res))
}
@@ -420,26 +428,33 @@ fn parse_geo_radius(input: Span) -> IResult<FilterCondition> {
/// If we parse `_geoBoundingBox` we MUST parse the rest of the expression.
fn parse_geo_bounding_box(input: Span) -> IResult<FilterCondition> {
// we want to allow space BEFORE the _geoBoundingBox but not after
let parsed = preceded(
tuple((multispace0, word_exact("_geoBoundingBox"))),
let (input, _) = tuple((multispace0, word_exact("_geoBoundingBox")))(input)?;
// if we were able to parse `_geoBoundingBox` and can't parse the rest of the input we return a failure
cut(delimited(
let (input, args) = delimited(
char('('),
separated_list1(
tag(","),
ws(delimited(char('['), separated_list1(tag(","), ws(recognize_float)), char(']'))),
),
char(')'),
)),
)(input)
.map_err(|e| e.map(|_| Error::new_from_kind(input, ErrorKind::GeoBoundingBox)));
.map_cut(ErrorKind::GeoBoundingBox)?;
let (input, args) = parsed?;
if args.len() != 2 || args[0].len() != 2 || args[1].len() != 2 {
if args.len() != 2 {
return Err(Error::failure_from_kind(input, ErrorKind::GeoBoundingBox));
}
if let Some(offending) = args.iter().find(|a| a.len() != 2) {
let context = offending.first().unwrap_or(&input);
return Err(Error::failure_from_kind(
*context,
ErrorKind::GeoCoordinatesNotPair(offending.len()),
));
}
let res = FilterCondition::GeoBoundingBox {
top_right_point: [args[0][0].into(), args[0][1].into()],
bottom_left_point: [args[1][0].into(), args[1][1].into()],
@@ -447,6 +462,47 @@ fn parse_geo_bounding_box(input: Span) -> IResult<FilterCondition> {
Ok((input, res))
}
/// geoPolygon = "_geoPolygon([[" WS* float WS* "," WS* float WS* "],+])"
/// If we parse `_geoPolygon` we MUST parse the rest of the expression.
fn parse_geo_polygon(input: Span) -> IResult<FilterCondition> {
// we want to allow space BEFORE the _geoPolygon but not after
let (input, _) = tuple((multispace0, word_exact("_geoPolygon")))(input)?;
// if we were able to parse `_geoPolygon` and can't parse the rest of the input we return a failure
let (input, args): (_, Vec<Vec<LocatedSpan<_, _>>>) = delimited(
char('('),
separated_list1(
tag(","),
ws(delimited(char('['), separated_list1(tag(","), ws(recognize_float)), char(']'))),
),
preceded(opt(ws(char(','))), char(')')), // Tolerate trailing comma
)(input)
.map_cut(ErrorKind::GeoPolygon)?;
if args.len() < 3 {
let context = args.last().and_then(|a| a.last()).unwrap_or(&input);
return Err(Error::failure_from_kind(
*context,
ErrorKind::GeoPolygonNotEnoughPoints(args.len()),
));
}
if let Some(offending) = args.iter().find(|a| a.len() != 2) {
let context = offending.first().unwrap_or(&input);
return Err(Error::failure_from_kind(
*context,
ErrorKind::GeoCoordinatesNotPair(offending.len()),
));
}
let res = FilterCondition::GeoPolygon {
points: args.into_iter().map(|a| [a[0].into(), a[1].into()]).collect(),
};
Ok((input, res))
}
/// geoPoint = WS* "_geoPoint(float WS* "," WS* float WS* "," WS* float)
fn parse_geo_point(input: Span) -> IResult<FilterCondition> {
// we want to forbid space BEFORE the _geoPoint but not after
@@ -516,8 +572,8 @@ fn parse_primary(input: Span, depth: usize) -> IResult<FilterCondition> {
Error::new_from_kind(input, ErrorKind::MissingClosingDelimiter(c.char()))
}),
),
parse_geo_radius,
parse_geo_bounding_box,
// Made a random block of functions because we reached the maximum number of elements per alt
alt((parse_geo_radius, parse_geo_bounding_box, parse_geo_polygon)),
parse_in,
parse_not_in,
parse_condition,
@@ -597,9 +653,12 @@ impl std::fmt::Display for FilterCondition<'_> {
}
write!(f, " EXISTS")
}
FilterCondition::GeoLowerThan { point, radius } => {
FilterCondition::GeoLowerThan { point, radius, resolution: None } => {
write!(f, "_geoRadius({}, {}, {})", point[0], point[1], radius)
}
FilterCondition::GeoLowerThan { point, radius, resolution: Some(resolution) } => {
write!(f, "_geoRadius({}, {}, {}, {})", point[0], point[1], radius, resolution)
}
FilterCondition::GeoBoundingBox {
top_right_point: top_left_point,
bottom_left_point: bottom_right_point,
@@ -613,6 +672,13 @@ impl std::fmt::Display for FilterCondition<'_> {
bottom_right_point[1]
)
}
FilterCondition::GeoPolygon { points } => {
write!(f, "_geoPolygon([")?;
for point in points {
write!(f, "[{}, {}], ", point[0], point[1])?;
}
write!(f, "])")
}
}
}
}
@@ -651,7 +717,7 @@ pub mod tests {
/// Create a raw [Token]. You must specify the string that appear BEFORE your element followed by your element
pub fn rtok<'a>(before: &'a str, value: &'a str) -> Token<'a> {
// if the string is empty we still need to return 1 for the line number
let lines = before.is_empty().then_some(1).unwrap_or_else(|| before.lines().count());
let lines = if before.is_empty() { 1 } else { before.lines().count() };
let offset = before.chars().count();
// the extra field is not checked in the tests so we can set it to nothing
unsafe { Span::new_from_raw_offset(offset, lines as u32, value, "") }.into()
@@ -776,12 +842,17 @@ pub mod tests {
insta::assert_snapshot!(p("_geoRadius(12, 13, 14)"), @"_geoRadius({12}, {13}, {14})");
insta::assert_snapshot!(p("NOT _geoRadius(12, 13, 14)"), @"NOT (_geoRadius({12}, {13}, {14}))");
insta::assert_snapshot!(p("_geoRadius(12,13,14)"), @"_geoRadius({12}, {13}, {14})");
insta::assert_snapshot!(p("_geoRadius(12,13,14,1000)"), @"_geoRadius({12}, {13}, {14}, {1000})");
// Test geo bounding box
insta::assert_snapshot!(p("_geoBoundingBox([12, 13], [14, 15])"), @"_geoBoundingBox([{12}, {13}], [{14}, {15}])");
insta::assert_snapshot!(p("NOT _geoBoundingBox([12, 13], [14, 15])"), @"NOT (_geoBoundingBox([{12}, {13}], [{14}, {15}]))");
insta::assert_snapshot!(p("_geoBoundingBox([12,13],[14,15])"), @"_geoBoundingBox([{12}, {13}], [{14}, {15}])");
// Test geo polygon
insta::assert_snapshot!(p("_geoPolygon([12, 13], [14, 15], [16, 17])"), @"_geoPolygon([[{12}, {13}], [{14}, {15}], [{16}, {17}], ])");
insta::assert_snapshot!(p("_geoPolygon([12, 13], [14, 15], [-1.2,2939.2], [1,1])"), @"_geoPolygon([[{12}, {13}], [{14}, {15}], [{-1.2}, {2939.2}], [{1}, {1}], ])");
// Test OR + AND
insta::assert_snapshot!(p("channel = ponce AND 'dog race' != 'bernese mountain'"), @"AND[{channel} = {ponce}, {dog race} != {bernese mountain}, ]");
insta::assert_snapshot!(p("channel = ponce OR 'dog race' != 'bernese mountain'"), @"OR[{channel} = {ponce}, {dog race} != {bernese mountain}, ]");
@@ -838,50 +909,80 @@ pub mod tests {
11:12 channel = 🐻 AND followers < 100
"###);
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\'`.
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`, `_geoBoundingBox` or `_geoPolygon` at `\'OR\'`.
1:5 'OR'
"###);
");
insta::assert_snapshot!(p("OR"), @r###"
Was expecting a value but instead got `OR`, which is a reserved keyword. To use `OR` as a field name or a value, surround it by quotes.
1:3 OR
"###);
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`.
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`, `_geoBoundingBox` or `_geoPolygon` 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.
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`, `_geoBoundingBox` or `_geoPolygon` but instead got nothing.
19:19 channel = Ponce OR
"###);
");
insta::assert_snapshot!(p("_geoRadius"), @r###"
The `_geoRadius` filter expects three arguments: `_geoRadius(latitude, longitude, radius)`.
1:11 _geoRadius
"###);
insta::assert_snapshot!(p("_geoRadius"), @r"
The `_geoRadius` filter must be in the form: `_geoRadius(latitude, longitude, radius, optionalResolution)`.
11:11 _geoRadius
");
insta::assert_snapshot!(p("_geoRadius = 12"), @r###"
The `_geoRadius` filter expects three arguments: `_geoRadius(latitude, longitude, radius)`.
1:16 _geoRadius = 12
"###);
insta::assert_snapshot!(p("_geoRadius = 12"), @r"
The `_geoRadius` filter must be in the form: `_geoRadius(latitude, longitude, radius, optionalResolution)`.
11:16 _geoRadius = 12
");
insta::assert_snapshot!(p("_geoBoundingBox"), @r###"
insta::assert_snapshot!(p("_geoBoundingBox"), @r"
The `_geoBoundingBox` filter expects two pairs of arguments: `_geoBoundingBox([latitude, longitude], [latitude, longitude])`.
1:16 _geoBoundingBox
"###);
16:16 _geoBoundingBox
");
insta::assert_snapshot!(p("_geoBoundingBox = 12"), @r###"
insta::assert_snapshot!(p("_geoBoundingBox = 12"), @r"
The `_geoBoundingBox` filter expects two pairs of arguments: `_geoBoundingBox([latitude, longitude], [latitude, longitude])`.
1:21 _geoBoundingBox = 12
"###);
16:21 _geoBoundingBox = 12
");
insta::assert_snapshot!(p("_geoBoundingBox(1.0, 1.0)"), @r###"
insta::assert_snapshot!(p("_geoBoundingBox(1.0, 1.0)"), @r"
The `_geoBoundingBox` filter expects two pairs of arguments: `_geoBoundingBox([latitude, longitude], [latitude, longitude])`.
1:26 _geoBoundingBox(1.0, 1.0)
"###);
17:26 _geoBoundingBox(1.0, 1.0)
");
insta::assert_snapshot!(p("_geoPolygon([1,2,3])"), @r"
The `_geoPolygon` filter expects at least 3 points but only 1 were specified
18:19 _geoPolygon([1,2,3])
");
insta::assert_snapshot!(p("_geoPolygon(1,2,3)"), @r"
The `_geoPolygon` filter doesn't match the expected format: `_geoPolygon([latitude, longitude], [latitude, longitude])`.
13:19 _geoPolygon(1,2,3)
");
insta::assert_snapshot!(p("_geoPolygon([1,2],[1,2],[1,2,3])"), @r"
Was expecting 2 coordinates but instead found 3.
26:27 _geoPolygon([1,2],[1,2],[1,2,3])
");
insta::assert_snapshot!(p("_geoPolygon([1,2],[1,2,3])"), @r"
The `_geoPolygon` filter expects at least 3 points but only 2 were specified
24:25 _geoPolygon([1,2],[1,2,3])
");
insta::assert_snapshot!(p("_geoPolygon(1)"), @r"
The `_geoPolygon` filter doesn't match the expected format: `_geoPolygon([latitude, longitude], [latitude, longitude])`.
13:15 _geoPolygon(1)
");
insta::assert_snapshot!(p("_geoPolygon([1,2)"), @r"
The `_geoPolygon` filter doesn't match the expected format: `_geoPolygon([latitude, longitude], [latitude, longitude])`.
17:18 _geoPolygon([1,2)
");
insta::assert_snapshot!(p("_geoPoint(12, 13, 14)"), @r###"
`_geoPoint` is a reserved keyword and thus can't be used as a filter expression. Use the `_geoRadius(latitude, longitude, distance)` or `_geoBoundingBox([latitude, longitude], [latitude, longitude])` built-in rules to filter on `_geo` coordinates.
@@ -938,15 +1039,15 @@ pub mod tests {
34:35 channel = mv OR followers >= 1000)
"###);
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`.
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`, `_geoBoundingBox` or `_geoPolygon` 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`.
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`, `_geoBoundingBox` or `_geoPolygon` at `subscribers 100 TO1000`.
1:23 subscribers 100 TO1000
"###);
");
insta::assert_snapshot!(p("channel = ponce ORdog != 'bernese mountain'"), @r###"
Found unexpected characters at the end of the filter: `ORdog != \'bernese mountain\'`. You probably forgot an `OR` or an `AND` rule.
@@ -1071,38 +1172,38 @@ pub mod tests {
5:7 NOT OR EXISTS AND EXISTS NOT EXISTS
"###);
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`.
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`, `_geoBoundingBox` or `_geoPolygon` 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`.
");
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`, `_geoBoundingBox` or `_geoPolygon` 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`.
");
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`, `_geoBoundingBox` or `_geoPolygon` 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`.
");
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`, `_geoBoundingBox` or `_geoPolygon` 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`.
");
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`, `_geoBoundingBox` or `_geoPolygon` 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`.
");
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`, `_geoBoundingBox` or `_geoPolygon` 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`.
");
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`, `_geoBoundingBox` or `_geoPolygon` 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`.
");
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`, `_geoBoundingBox` or `_geoPolygon` at `value IS NOT EXISTS`.
1:20 value IS NOT EXISTS
"###);
");
}
#[test]

View File

@@ -23,6 +23,7 @@ dump = { path = "../dump" }
enum-iterator = "2.1.0"
file-store = { path = "../file-store" }
flate2 = "1.1.2"
hashbrown = "0.15.4"
indexmap = "2.9.0"
meilisearch-auth = { path = "../meilisearch-auth" }
meilisearch-types = { path = "../meilisearch-types" }
@@ -45,6 +46,8 @@ tracing = "0.1.41"
ureq = "2.12.1"
uuid = { version = "1.17.0", features = ["serde", "v4"] }
backoff = "0.4.0"
itertools = "0.14.0"
tokio = { version = "1.47.1", features = ["full"] }
[dev-dependencies]
big_s = "1.0.2"

View File

@@ -1,3 +1,5 @@
#![allow(clippy::result_large_err)]
use std::collections::HashMap;
use std::io;
@@ -232,6 +234,9 @@ impl<'a> Dump<'a> {
}
}
KindDump::UpgradeDatabase { from } => KindWithContent::UpgradeDatabase { from },
KindDump::NetworkTopologyChange { network: new_network, origin } => {
KindWithContent::NetworkTopologyChange { network: new_network, origin }
}
},
};

View File

@@ -1,6 +1,6 @@
use std::sync::{Arc, RwLock};
use meilisearch_types::enterprise_edition::network::Network;
use meilisearch_types::enterprise_edition::network::DbNetwork;
use meilisearch_types::features::{InstanceTogglableFeatures, RuntimeTogglableFeatures};
use meilisearch_types::heed::types::{SerdeJson, Str};
use meilisearch_types::heed::{Database, Env, RwTxn, WithoutTls};
@@ -24,7 +24,7 @@ mod db_keys {
pub(crate) struct FeatureData {
persisted: Database<Str, SerdeJson<RuntimeTogglableFeatures>>,
runtime: Arc<RwLock<RuntimeTogglableFeatures>>,
network: Arc<RwLock<Network>>,
network: Arc<RwLock<DbNetwork>>,
}
#[derive(Debug, Clone, Copy)]
@@ -158,6 +158,19 @@ impl RoFeatures {
.into())
}
}
pub fn check_vector_store_setting(&self, disabled_action: &'static str) -> Result<()> {
if self.runtime.vector_store_setting {
Ok(())
} else {
Err(FeatureNotEnabledError {
disabled_action,
feature: "vector_store_setting",
issue_link: "https://github.com/orgs/meilisearch/discussions/860",
}
.into())
}
}
}
impl FeatureData {
@@ -184,8 +197,8 @@ impl FeatureData {
}));
// Once this is stabilized, network should be stored along with webhooks in index-scheduler's persisted database
let network_db = runtime_features_db.remap_data_type::<SerdeJson<Network>>();
let network: Network = network_db.get(wtxn, db_keys::NETWORK)?.unwrap_or_default();
let network_db = runtime_features_db.remap_data_type::<SerdeJson<DbNetwork>>();
let network: DbNetwork = network_db.get(wtxn, db_keys::NETWORK)?.unwrap_or_default();
Ok(Self {
persisted: runtime_features_db,
@@ -221,8 +234,8 @@ impl FeatureData {
RoFeatures::new(self)
}
pub fn put_network(&self, mut wtxn: RwTxn, new_network: Network) -> Result<()> {
self.persisted.remap_data_type::<SerdeJson<Network>>().put(
pub fn put_network(&self, mut wtxn: RwTxn, new_network: DbNetwork) -> Result<()> {
self.persisted.remap_data_type::<SerdeJson<DbNetwork>>().put(
&mut wtxn,
db_keys::NETWORK,
&new_network,
@@ -234,7 +247,7 @@ impl FeatureData {
Ok(())
}
pub fn network(&self) -> Network {
Network::clone(&*self.network.read().unwrap())
pub fn network(&self) -> DbNetwork {
DbNetwork::clone(&*self.network.read().unwrap())
}
}

View File

@@ -143,10 +143,10 @@ impl IndexStats {
///
/// - rtxn: a RO transaction for the index, obtained from `Index::read_txn()`.
pub fn new(index: &Index, rtxn: &RoTxn) -> milli::Result<Self> {
let arroy_stats = index.arroy_stats(rtxn)?;
let vector_store_stats = index.vector_store_stats(rtxn)?;
Ok(IndexStats {
number_of_embeddings: Some(arroy_stats.number_of_embeddings),
number_of_embedded_documents: Some(arroy_stats.documents.len()),
number_of_embeddings: Some(vector_store_stats.number_of_embeddings),
number_of_embedded_documents: Some(vector_store_stats.documents.len()),
documents_database_stats: index.documents_stats(rtxn)?.unwrap_or_default(),
number_of_documents: None,
database_size: index.on_disk_size()?,

View File

@@ -36,6 +36,7 @@ pub fn snapshot_index_scheduler(scheduler: &IndexScheduler) -> String {
run_loop_iteration: _,
embedders: _,
chat_settings: _,
runtime: _,
} = scheduler;
let rtxn = env.read_txn().unwrap();
@@ -317,6 +318,9 @@ fn snapshot_details(d: &Details) -> String {
Details::UpgradeDatabase { from, to } => {
format!("{{ from: {from:?}, to: {to:?} }}")
}
Details::NetworkTopologyChange { network: new_network } => {
format!("{{ new_network: {new_network:?} }}")
}
}
}

View File

@@ -1,3 +1,6 @@
// The main Error type is large and boxing the large variant make the pattern matching fails
#![allow(clippy::result_large_err)]
/*!
This crate defines the index scheduler, which is responsible for:
1. Keeping references to meilisearch's indexes and mapping them to their
@@ -51,7 +54,7 @@ pub use features::RoFeatures;
use flate2::bufread::GzEncoder;
use flate2::Compression;
use meilisearch_types::batches::Batch;
use meilisearch_types::enterprise_edition::network::Network;
use meilisearch_types::enterprise_edition::network::DbNetwork;
use meilisearch_types::features::{
ChatCompletionSettings, InstanceTogglableFeatures, RuntimeTogglableFeatures,
};
@@ -213,6 +216,8 @@ pub struct IndexScheduler {
/// A counter that is incremented before every call to [`tick`](IndexScheduler::tick)
#[cfg(test)]
run_loop_iteration: Arc<RwLock<usize>>,
runtime: Option<tokio::runtime::Handle>,
}
impl IndexScheduler {
@@ -239,6 +244,7 @@ impl IndexScheduler {
run_loop_iteration: self.run_loop_iteration.clone(),
features: self.features.clone(),
chat_settings: self.chat_settings,
runtime: self.runtime.clone(),
}
}
@@ -257,6 +263,7 @@ impl IndexScheduler {
options: IndexSchedulerOptions,
auth_env: Env<WithoutTls>,
from_db_version: (u32, u32, u32),
runtime: Option<tokio::runtime::Handle>,
#[cfg(test)] test_breakpoint_sdr: crossbeam_channel::Sender<(test_utils::Breakpoint, bool)>,
#[cfg(test)] planned_failures: Vec<(usize, test_utils::FailureLocation)>,
) -> Result<Self> {
@@ -338,13 +345,14 @@ impl IndexScheduler {
run_loop_iteration: Arc::new(RwLock::new(0)),
features,
chat_settings,
runtime,
};
this.run();
Ok(this)
}
fn read_txn(&self) -> Result<RoTxn<WithoutTls>> {
fn read_txn(&self) -> Result<RoTxn<'_, WithoutTls>> {
self.env.read_txn().map_err(|e| e.into())
}
@@ -757,7 +765,7 @@ impl IndexScheduler {
/// Register a new task coming from a dump in the scheduler.
/// By taking a mutable ref we're pretty sure no one will ever import a dump while actix is running.
pub fn register_dumped_task(&mut self) -> Result<Dump> {
pub fn register_dumped_task(&mut self) -> Result<Dump<'_>> {
Dump::new(self)
}
@@ -806,10 +814,8 @@ impl IndexScheduler {
.queue
.tasks
.get_task(self.rtxn, task_id)
.map_err(|err| io::Error::new(io::ErrorKind::Other, err))?
.ok_or_else(|| {
io::Error::new(io::ErrorKind::Other, Error::CorruptedTaskQueue)
})?;
.map_err(io::Error::other)?
.ok_or_else(|| io::Error::other(Error::CorruptedTaskQueue))?;
serde_json::to_writer(&mut self.buffer, &TaskView::from_task(&task))?;
self.buffer.push(b'\n');
@@ -891,13 +897,13 @@ impl IndexScheduler {
Ok(())
}
pub fn put_network(&self, network: Network) -> Result<()> {
pub fn put_network(&self, network: DbNetwork) -> Result<()> {
let wtxn = self.env.write_txn().map_err(Error::HeedTransaction)?;
self.features.put_network(wtxn, network)?;
Ok(())
}
pub fn network(&self) -> Network {
pub fn network(&self) -> DbNetwork {
self.features.network()
}
@@ -926,9 +932,10 @@ impl IndexScheduler {
pub fn embedders(
&self,
index_uid: String,
index_uid: &str,
embedding_configs: Vec<IndexEmbeddingConfig>,
) -> Result<RuntimeEmbedders> {
let err = |err| Error::from_milli(err, Some(index_uid.to_owned()));
let res: Result<_> = embedding_configs
.into_iter()
.map(
@@ -941,7 +948,7 @@ impl IndexScheduler {
let document_template = prompt
.try_into()
.map_err(meilisearch_types::milli::Error::from)
.map_err(|err| Error::from_milli(err, Some(index_uid.clone())))?;
.map_err(err)?;
let fragments = fragments
.into_inner()
@@ -971,9 +978,8 @@ impl IndexScheduler {
let embedder = Arc::new(
Embedder::new(embedder_options.clone(), self.scheduler.embedding_cache_cap)
.map_err(meilisearch_types::milli::vector::Error::from)
.map_err(|err| {
Error::from_milli(err.into(), Some(index_uid.clone()))
})?,
.map_err(milli::Error::from)
.map_err(err)?,
);
{
let mut embedders = self.embedders.write().unwrap();

View File

@@ -275,10 +275,10 @@ impl BatchQueue {
pub(crate) fn get_existing_batches(
&self,
rtxn: &RoTxn,
tasks: impl IntoIterator<Item = BatchId>,
batches: impl IntoIterator<Item = BatchId>,
processing: &ProcessingTasks,
) -> Result<Vec<Batch>> {
tasks
batches
.into_iter()
.map(|batch_id| {
if Some(batch_id) == processing.batch.as_ref().map(|batch| batch.uid) {
@@ -295,7 +295,7 @@ impl BatchQueue {
Ok(batch)
} else {
self.get_batch(rtxn, batch_id)
.and_then(|task| task.ok_or(Error::CorruptedTaskQueue))
.and_then(|batch| batch.ok_or(Error::CorruptedTaskQueue))
}
})
.collect::<Result<_>>()

View File

@@ -326,7 +326,7 @@ impl Queue {
);
// it's safe to unwrap here because we checked the len above
let newest_task_id = to_delete.iter().last().unwrap();
let newest_task_id = to_delete.iter().next_back().unwrap();
let last_task_to_delete =
self.tasks.get_task(wtxn, newest_task_id)?.ok_or(Error::CorruptedTaskQueue)?;

View File

@@ -73,6 +73,7 @@ impl From<KindWithContent> for AutobatchKind {
| KindWithContent::DumpCreation { .. }
| KindWithContent::Export { .. }
| KindWithContent::UpgradeDatabase { .. }
| KindWithContent::NetworkTopologyChange { .. }
| KindWithContent::SnapshotCreation => {
panic!("The autobatcher should never be called with tasks that don't apply to an index.")
}

View File

@@ -55,6 +55,9 @@ pub(crate) enum Batch {
UpgradeDatabase {
tasks: Vec<Task>,
},
NetworkTopologyChanges {
tasks: Vec<Task>,
},
}
#[derive(Debug)]
@@ -66,6 +69,7 @@ pub(crate) enum DocumentOperation {
/// A [batch](Batch) that combines multiple tasks operating on an index.
#[derive(Debug)]
#[allow(clippy::large_enum_variant)]
pub(crate) enum IndexOperation {
DocumentOperation {
index_uid: String,
@@ -115,7 +119,8 @@ impl Batch {
Batch::SnapshotCreation(tasks)
| Batch::TaskDeletions(tasks)
| Batch::UpgradeDatabase { tasks }
| Batch::IndexDeletion { tasks, .. } => {
| Batch::IndexDeletion { tasks, .. }
| Batch::NetworkTopologyChanges { tasks } => {
RoaringBitmap::from_iter(tasks.iter().map(|task| task.uid))
}
Batch::IndexOperation { op, .. } => match op {
@@ -150,6 +155,7 @@ impl Batch {
| Dump(_)
| Export { .. }
| UpgradeDatabase { .. }
| NetworkTopologyChanges { .. }
| IndexSwap { .. } => None,
IndexOperation { op, .. } => Some(op.index_uid()),
IndexCreation { index_uid, .. }
@@ -175,6 +181,7 @@ impl fmt::Display for Batch {
Batch::IndexDeletion { .. } => f.write_str("IndexDeletion")?,
Batch::IndexSwap { .. } => f.write_str("IndexSwap")?,
Batch::Export { .. } => f.write_str("Export")?,
Batch::NetworkTopologyChanges { .. } => f.write_str("NetworkTopologyChange")?,
Batch::UpgradeDatabase { .. } => f.write_str("UpgradeDatabase")?,
};
match index_uid {
@@ -544,7 +551,18 @@ impl IndexScheduler {
return Ok(Some((Batch::Dump(task), current_batch)));
}
// 6. We make a batch from the unprioritised tasks. Start by taking the next enqueued task.
// 6. We batch the network changes.
let to_network = self.queue.tasks.get_kind(rtxn, Kind::NetworkTopologyChange)? & enqueued;
if !to_network.is_empty() {
let mut tasks = self.queue.tasks.get_existing_tasks(rtxn, to_network)?;
current_batch.processing(&mut tasks);
current_batch.reason(BatchStopReason::TaskKindCannotBeBatched {
kind: Kind::NetworkTopologyChange,
});
return Ok(Some((Batch::NetworkTopologyChanges { tasks }, current_batch)));
}
// 7. We make a batch from the unprioritised tasks. Start by taking the next enqueued task.
let task_id = if let Some(task_id) = enqueued.min() { task_id } else { return Ok(None) };
let mut task =
self.queue.tasks.get_task(rtxn, task_id)?.ok_or(Error::CorruptedTaskQueue)?;

View File

@@ -0,0 +1,6 @@
// Copyright © 2025 Meilisearch Some Rights Reserved
// This file is part of Meilisearch Enterprise Edition (EE).
// Use of this source code is governed by the Business Source License 1.1,
// as found in the LICENSE-EE file or at <https://mariadb.com/bsl11>
mod process_network;

View File

@@ -0,0 +1,362 @@
// Copyright © 2025 Meilisearch Some Rights Reserved
// This file is part of Meilisearch Enterprise Edition (EE).
// Use of this source code is governed by the Business Source License 1.1,
// as found in the LICENSE-EE file or at <https://mariadb.com/bsl11>
use std::collections::BTreeMap;
use std::time::Duration;
use bumpalo::Bump;
use itertools::{EitherOrBoth, Itertools};
use meilisearch_types::enterprise_edition::network::{DbNetwork, DbRemote, Network, Remote};
use meilisearch_types::milli::documents::PrimaryKey;
use meilisearch_types::milli::progress::{EmbedderStats, Progress};
use meilisearch_types::milli::update::new::indexer;
use meilisearch_types::milli::update::Setting;
use meilisearch_types::milli::{self};
use meilisearch_types::tasks::{KindWithContent, Status, Task};
use roaring::RoaringBitmap;
use crate::scheduler::process_export::{ExportContext, ExportOptions, TargetInstance};
use crate::{Error, IndexScheduler};
impl IndexScheduler {
pub(crate) fn process_network_changes(
&self,
progress: Progress,
mut tasks: Vec<Task>,
) -> crate::Result<Vec<Task>> {
let old_network = self.network();
let mut current_network = Some(old_network.clone());
for task in &tasks {
let KindWithContent::NetworkTopologyChange { network, origin } = &task.kind else {
continue;
};
current_network = match (current_network, network) {
(None, None) => None,
(None, Some(network)) => Some(accumulate(DbNetwork::default(), network.clone())?),
(Some(current_network), None) => Some(current_network),
(Some(current_network), Some(new_network)) => {
Some(accumulate(current_network, new_network.clone())?)
}
};
}
'network: {
let mut new_network = current_network.unwrap_or_default();
if old_network == new_network {
// no change, exit
break 'network;
}
/// TODO: only do this if the task originates with an end-user
let must_replicate = old_network.sharding || new_network.sharding;
if !must_replicate {
self.put_network(new_network)?;
break 'network;
}
let must_stop_processing = &self.scheduler.must_stop_processing;
/// FIXME: make it mandatory for `self` to be part of the network
let old_this = old_network.local.as_deref();
/// FIXME: error here
let new_this = new_network.local.unwrap();
// in network replication, we need to tell old nodes that they are no longer part of the network.
// This is made difficult by "node aliasing": Meilisearch has no way of knowing if two nodes with different names
// or even different URLs actually refer to the same machine in two different versions of the network.
//
// This implementation ignores aliasing: a node is the same when it has the same name.
//
// To defeat aliasing, we iterate a first time to collect all deletions and additions, then we make sure to process the deletions
// first, rather than processing the tasks in the alphalexical order of remotes.
let mut node_deletions = Vec::new();
let mut node_additions = Vec::new();
for eob in old_network
.remotes
.iter()
.merge_join_by(new_network.remotes.iter(), |(left, _), (right, _)| left.cmp(right))
{
match eob {
EitherOrBoth::Both((to_update_name, _), (_, new_node)) => {
if to_update_name.as_str() == new_this {
continue; // skip `self`
}
node_additions.push((to_update_name, new_node));
}
EitherOrBoth::Left((to_delete_name, to_delete_node)) => {
if Some(to_delete_name.as_str()) == old_this {
continue; // skip `self`
}
node_deletions.push((to_delete_name, to_delete_node));
}
EitherOrBoth::Right((to_add_name, to_add_node)) => {
if to_add_name.as_str() == new_this {
continue; // skip `self`
}
node_additions.push((to_add_name, to_add_node));
}
}
}
let runtime = self.runtime.clone().unwrap();
let mut in_flight = Vec::new();
// process deletions
for (to_delete_name, to_delete) in node_deletions {
// set `self` to None so that this node is forgotten about
new_network.local = None;
in_flight.push(proxy_network(&runtime, to_delete.url.as_str(), &new_network)?);
}
runtime.block_on(async {
for task in in_flight.drain(..) {
// TODO: log and ignore errors during deletion
let res = task.await;
}
});
// process additions
for (to_add_name, to_add) in node_additions {
new_network.local = Some(to_add_name.clone());
in_flight.push(proxy_network(&runtime, to_add.url.as_str(), &new_network)?);
}
runtime.block_on(async {
for task in in_flight.drain(..) {
// TODO: handle errors during addition
let res = task.await;
}
});
// balance documents
new_network.local = Some(new_this);
self.balance_documents(&new_network, &progress, &must_stop_processing)?;
self.put_network(new_network)?;
}
for task in &mut tasks {
task.status = Status::Succeeded;
}
Ok(tasks)
}
fn balance_documents(
&self,
new_network: &DbNetwork,
progress: &Progress,
must_stop_processing: &crate::scheduler::MustStopProcessing,
) -> crate::Result<()> {
/// FIXME unwrap
let new_shards = new_network.shards().unwrap();
// TECHDEBT: this spawns a `ureq` agent additionally to `reqwest`. We probably want to harmonize all of this.
let agent = ureq::AgentBuilder::new().timeout(Duration::from_secs(5)).build();
let mut indexer_alloc = Bump::new();
// process by batches of 20MiB. Allow for compression? Don't forget about embeddings
let _: Vec<()> = self.try_for_each_index(|index_uid, index| -> crate::Result<()> {
indexer_alloc.reset();
let err = |err| Error::from_milli(err, Some(index_uid.to_string()));
let index_rtxn = index.read_txn()?;
let all_docids = index.external_documents_ids();
let mut documents_to_move_to: hashbrown::HashMap<String, RoaringBitmap> =
hashbrown::HashMap::new();
let mut documents_to_delete = RoaringBitmap::new();
for res in all_docids.iter(&index_rtxn)? {
let (external_docid, docid) = res?;
match new_shards.processing_shard(external_docid) {
Some(shard) if shard.is_own => continue,
Some(shard) => {
documents_to_move_to
.entry_ref(shard.name.as_str())
.or_default()
.insert(docid);
}
None => {
documents_to_delete.insert(docid);
}
}
}
let fields_ids_map = index.fields_ids_map(&index_rtxn)?;
for (remote, documents_to_move) in documents_to_move_to {
/// TODO: justify the unwrap
let remote = new_network.remotes.get(&remote).unwrap();
let target = TargetInstance {
base_url: &remote.url,
api_key: remote.write_api_key.as_deref(),
};
let options = ExportOptions {
index_uid,
payload_size: None,
override_settings: false,
extra_headers: &Default::default(),
};
let ctx = ExportContext {
index,
index_rtxn: &index_rtxn,
universe: &documents_to_move,
progress,
agent: &agent,
must_stop_processing,
};
self.export_one_index(target, options, ctx)?;
documents_to_delete |= documents_to_move;
}
if documents_to_delete.is_empty() {
return Ok(());
}
let mut new_fields_ids_map = fields_ids_map.clone();
// candidates not empty => index not empty => a primary key is set
let primary_key = index.primary_key(&index_rtxn)?.unwrap();
let primary_key = PrimaryKey::new_or_insert(primary_key, &mut new_fields_ids_map)
.map_err(milli::Error::from)
.map_err(err)?;
let mut index_wtxn = index.write_txn()?;
let mut indexer = indexer::DocumentDeletion::new();
indexer.delete_documents_by_docids(documents_to_delete);
let document_changes = indexer.into_changes(&indexer_alloc, primary_key);
let embedders = index
.embedding_configs()
.embedding_configs(&index_wtxn)
.map_err(milli::Error::from)
.map_err(err)?;
let embedders = self.embedders(index_uid, embedders)?;
let indexer_config = self.index_mapper.indexer_config();
let pool = &indexer_config.thread_pool;
indexer::index(
&mut index_wtxn,
index,
pool,
indexer_config.grenad_parameters(),
&fields_ids_map,
new_fields_ids_map,
None, // document deletion never changes primary key
&document_changes,
embedders,
&|| must_stop_processing.get(),
&progress,
&EmbedderStats::default(),
)
.map_err(err)?;
index_wtxn.commit()?;
Ok(())
})?;
Ok(())
}
}
fn proxy_network(
runtime: &tokio::runtime::Handle,
url: &str,
network: &DbNetwork,
) -> crate::Result<tokio::task::JoinHandle<()>> {
todo!()
}
fn accumulate(old_network: DbNetwork, new_network: Network) -> crate::Result<DbNetwork> {
let err = |err| Err(Error::from_milli(milli::Error::UserError(err), None));
let merged_local = match new_network.local {
Setting::Set(new_self) => Some(new_self),
Setting::Reset => None,
Setting::NotSet => old_network.local,
};
let merged_sharding = match new_network.sharding {
Setting::Set(new_sharding) => new_sharding,
Setting::Reset => false,
Setting::NotSet => old_network.sharding,
};
if merged_sharding && merged_local.is_none() {
return err(milli::UserError::NetworkShardingWithoutSelf);
}
let merged_remotes = match new_network.remotes {
Setting::Set(new_remotes) => {
let mut merged_remotes = BTreeMap::new();
for either_or_both in old_network
.remotes
.into_iter()
.merge_join_by(new_remotes.into_iter(), |left, right| left.0.cmp(&right.0))
{
match either_or_both {
EitherOrBoth::Both((name, old), (_, Some(new))) => {
let DbRemote {
url: old_url,
search_api_key: old_search_api_key,
write_api_key: old_write_api_key,
} = old;
let Remote {
url: new_url,
search_api_key: new_search_api_key,
write_api_key: new_write_api_key,
} = new;
let merged = DbRemote {
url: match new_url {
Setting::Set(new_url) => new_url,
Setting::Reset => {
return err(milli::UserError::NetworkMissingUrl(name))
}
Setting::NotSet => old_url,
},
search_api_key: match new_search_api_key {
Setting::Set(new_search_api_key) => Some(new_search_api_key),
Setting::Reset => None,
Setting::NotSet => old_search_api_key,
},
write_api_key: match new_write_api_key {
Setting::Set(new_write_api_key) => Some(new_write_api_key),
Setting::Reset => None,
Setting::NotSet => old_write_api_key,
},
};
merged_remotes.insert(name, merged);
}
EitherOrBoth::Both((_, _), (_, None)) | EitherOrBoth::Right((_, None)) => {}
EitherOrBoth::Left((name, node)) => {
merged_remotes.insert(name, node);
}
EitherOrBoth::Right((name, Some(node))) => {
let Some(url) = node.url.set() else {
return err(milli::UserError::NetworkMissingUrl(name));
};
let node = DbRemote {
url,
search_api_key: node.search_api_key.set(),
write_api_key: node.write_api_key.set(),
};
merged_remotes.insert(name, node);
}
}
}
merged_remotes
}
Setting::Reset => BTreeMap::new(),
Setting::NotSet => old_network.remotes,
};
Ok(DbNetwork { local: merged_local, remotes: merged_remotes, sharding: merged_sharding })
}

View File

@@ -2,6 +2,7 @@ mod autobatcher;
#[cfg(test)]
mod autobatcher_test;
mod create_batch;
mod enterprise_edition;
mod process_batch;
mod process_dump_creation;
mod process_export;

View File

@@ -135,6 +135,9 @@ impl IndexScheduler {
Batch::Dump(task) => self
.process_dump_creation(progress, task)
.map(|tasks| (tasks, ProcessBatchInfo::default())),
Batch::NetworkTopologyChanges { tasks } => self
.process_network_changes(progress, tasks)
.map(|tasks| (tasks, ProcessBatchInfo::default())),
Batch::IndexOperation { op, must_create_index } => {
let index_uid = op.index_uid().to_string();
let index = if must_create_index {
@@ -147,7 +150,6 @@ impl IndexScheduler {
};
let mut index_wtxn = index.write_txn()?;
let index_version = index.get_version(&index_wtxn)?.unwrap_or((1, 12, 0));
let package_version = (VERSION_MAJOR, VERSION_MINOR, VERSION_PATCH);
if index_version != package_version {

View File

@@ -16,6 +16,7 @@ use meilisearch_types::milli::vector::parsed_vectors::{ExplicitVectors, VectorOr
use meilisearch_types::milli::{self, obkv_to_json, Filter, InternalError};
use meilisearch_types::settings::{self, SecretPolicy};
use meilisearch_types::tasks::{DetailsExportIndexSettings, ExportIndexSettings};
use roaring::RoaringBitmap;
use serde::Deserialize;
use ureq::{json, Response};
@@ -50,6 +51,7 @@ impl IndexScheduler {
let agent = ureq::AgentBuilder::new().timeout(Duration::from_secs(5)).build();
let must_stop_processing = self.scheduler.must_stop_processing.clone();
for (i, (_pattern, uid, export_settings)) in indexes.iter().enumerate() {
let err = |err| Error::from_milli(err, Some(uid.to_string()));
if must_stop_processing.get() {
return Err(Error::AbortedTask);
}
@@ -61,104 +63,31 @@ impl IndexScheduler {
));
let ExportIndexSettings { filter, override_settings } = export_settings;
let index = self.index(uid)?;
let index_rtxn = index.read_txn()?;
let bearer = api_key.map(|api_key| format!("Bearer {api_key}"));
// First, check if the index already exists
let url = format!("{base_url}/indexes/{uid}");
let response = retry(&must_stop_processing, || {
let mut request = agent.get(&url);
if let Some(bearer) = &bearer {
request = request.set("Authorization", bearer);
}
request.send_bytes(Default::default()).map_err(into_backoff_error)
});
let index_exists = match response {
Ok(response) => response.status() == 200,
Err(Error::FromRemoteWhenExporting { code, .. }) if code == "index_not_found" => {
false
}
Err(e) => return Err(e),
};
let primary_key = index
.primary_key(&index_rtxn)
.map_err(|e| Error::from_milli(e.into(), Some(uid.to_string())))?;
// Create the index
if !index_exists {
let url = format!("{base_url}/indexes");
retry(&must_stop_processing, || {
let mut request = agent.post(&url);
if let Some(bearer) = &bearer {
request = request.set("Authorization", bearer);
}
let index_param = json!({ "uid": uid, "primaryKey": primary_key });
request.send_json(&index_param).map_err(into_backoff_error)
})?;
}
// Patch the index primary key
if index_exists && *override_settings {
let url = format!("{base_url}/indexes/{uid}");
retry(&must_stop_processing, || {
let mut request = agent.patch(&url);
if let Some(bearer) = &bearer {
request = request.set("Authorization", bearer);
}
let index_param = json!({ "primaryKey": primary_key });
request.send_json(&index_param).map_err(into_backoff_error)
})?;
}
// Send the index settings
if !index_exists || *override_settings {
let mut settings =
settings::settings(&index, &index_rtxn, SecretPolicy::RevealSecrets)
.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?;
// Remove the experimental chat setting if not enabled
if self.features().check_chat_completions("exporting chat settings").is_err() {
settings.chat = Setting::NotSet;
}
// Retry logic for sending settings
let url = format!("{base_url}/indexes/{uid}/settings");
retry(&must_stop_processing, || {
let mut request = agent.patch(&url);
if let Some(bearer) = bearer.as_ref() {
request = request.set("Authorization", bearer);
}
request.send_json(settings.clone()).map_err(into_backoff_error)
})?;
}
let filter = filter
.as_ref()
.map(Filter::from_json)
.transpose()
.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?
.flatten();
let filter_universe = filter
.map(|f| f.evaluate(&index_rtxn, &index))
.transpose()
.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?;
let whole_universe = index
.documents_ids(&index_rtxn)
.map_err(|e| Error::from_milli(e.into(), Some(uid.to_string())))?;
let filter = filter.as_ref().map(Filter::from_json).transpose().map_err(err)?.flatten();
let filter_universe =
filter.map(|f| f.evaluate(&index_rtxn, &index)).transpose().map_err(err)?;
let whole_universe =
index.documents_ids(&index_rtxn).map_err(milli::Error::from).map_err(err)?;
let universe = filter_universe.unwrap_or(whole_universe);
let fields_ids_map = index.fields_ids_map(&index_rtxn)?;
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
// We don't need to keep this one alive as we will
// spawn many threads to process the documents
drop(index_rtxn);
let total_documents = universe.len() as u32;
let (step, progress_step) = AtomicDocumentStep::new(total_documents);
progress.update_progress(progress_step);
let target = TargetInstance { base_url, api_key };
let ctx = ExportContext {
index: &index,
index_rtxn: &index_rtxn,
universe: &universe,
progress: &progress,
agent: &agent,
must_stop_processing: &must_stop_processing,
};
let options = ExportOptions {
index_uid: uid,
payload_size,
override_settings: *override_settings,
extra_headers: &Default::default(),
};
let total_documents = self.export_one_index(target, options, ctx)?;
output.insert(
IndexUidPattern::new_unchecked(uid.clone()),
@@ -167,36 +96,116 @@ impl IndexScheduler {
matched_documents: Some(total_documents as u64),
},
);
}
let limit = payload_size.map(|ps| ps.as_u64() as usize).unwrap_or(20 * 1024 * 1024); // defaults to 20 MiB
let documents_url = format!("{base_url}/indexes/{uid}/documents");
Ok(output)
}
pub(super) fn export_one_index(
&self,
target: TargetInstance<'_>,
options: ExportOptions<'_>,
ctx: ExportContext<'_>,
) -> Result<u64, Error> {
let err = |err| Error::from_milli(err, Some(options.index_uid.to_string()));
let bearer = target.api_key.map(|api_key| format!("Bearer {api_key}"));
let url = format!(
"{base_url}/indexes/{index_uid}",
base_url = target.base_url,
index_uid = options.index_uid
);
let response = retry(ctx.must_stop_processing, || {
let mut request = ctx.agent.get(&url);
if let Some(bearer) = &bearer {
request = request.set("Authorization", bearer);
}
request.send_bytes(Default::default()).map_err(into_backoff_error)
});
let index_exists = match response {
Ok(response) => response.status() == 200,
Err(Error::FromRemoteWhenExporting { code, .. }) if code == "index_not_found" => false,
Err(e) => return Err(e),
};
let primary_key =
ctx.index.primary_key(&ctx.index_rtxn).map_err(milli::Error::from).map_err(err)?;
if !index_exists {
let url = format!("{base_url}/indexes", base_url = target.base_url);
retry(ctx.must_stop_processing, || {
let mut request = ctx.agent.post(&url);
if let Some(bearer) = &bearer {
request = request.set("Authorization", bearer);
}
let index_param = json!({ "uid": options.index_uid, "primaryKey": primary_key });
request.send_json(&index_param).map_err(into_backoff_error)
})?;
}
if index_exists && options.override_settings {
retry(ctx.must_stop_processing, || {
let mut request = ctx.agent.patch(&url);
if let Some(bearer) = &bearer {
request = request.set("Authorization", bearer);
}
let index_param = json!({ "primaryKey": primary_key });
request.send_json(&index_param).map_err(into_backoff_error)
})?;
}
if !index_exists || options.override_settings {
let mut settings =
settings::settings(&ctx.index, &ctx.index_rtxn, SecretPolicy::RevealSecrets)
.map_err(err)?;
// Remove the experimental chat setting if not enabled
if self.features().check_chat_completions("exporting chat settings").is_err() {
settings.chat = Setting::NotSet;
}
// Retry logic for sending settings
let url = format!(
"{base_url}/indexes/{index_uid}/settings",
base_url = target.base_url,
index_uid = options.index_uid
);
retry(ctx.must_stop_processing, || {
let mut request = ctx.agent.patch(&url);
if let Some(bearer) = bearer.as_ref() {
request = request.set("Authorization", bearer);
}
request.send_json(settings.clone()).map_err(into_backoff_error)
})?;
}
let fields_ids_map = ctx.index.fields_ids_map(&ctx.index_rtxn)?;
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
let total_documents = ctx.universe.len() as u32;
let (step, progress_step) = AtomicDocumentStep::new(total_documents);
ctx.progress.update_progress(progress_step);
let limit = options.payload_size.map(|ps| ps.as_u64() as usize).unwrap_or(20 * 1024 * 1024);
let documents_url = format!(
"{base_url}/indexes/{index_uid}/documents",
base_url = target.base_url,
index_uid = options.index_uid
);
let results = request_threads()
.broadcast(|ctx| {
let index_rtxn = index
.read_txn()
.map_err(|e| Error::from_milli(e.into(), Some(uid.to_string())))?;
.broadcast(|broadcast| {
let index_rtxn = ctx.index.read_txn().map_err(milli::Error::from).map_err(err)?;
let mut buffer = Vec::new();
let mut tmp_buffer = Vec::new();
let mut compressed_buffer = Vec::new();
for (i, docid) in universe.iter().enumerate() {
if i % ctx.num_threads() != ctx.index() {
for (i, docid) in ctx.universe.iter().enumerate() {
if i % broadcast.num_threads() != broadcast.index() {
continue;
}
let document = index
.document(&index_rtxn, docid)
.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?;
let document = ctx.index.document(&index_rtxn, docid).map_err(err)?;
let mut document = obkv_to_json(&all_fields, &fields_ids_map, document)
.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?;
let mut document =
obkv_to_json(&all_fields, &fields_ids_map, document).map_err(err)?;
// TODO definitely factorize this code
'inject_vectors: {
let embeddings = index
.embeddings(&index_rtxn, docid)
.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?;
let embeddings = ctx.index.embeddings(&index_rtxn, docid).map_err(err)?;
if embeddings.is_empty() {
break 'inject_vectors;
@@ -207,15 +216,12 @@ impl IndexScheduler {
.or_insert(serde_json::Value::Object(Default::default()));
let serde_json::Value::Object(vectors) = vectors else {
return Err(Error::from_milli(
milli::Error::UserError(
return Err(err(milli::Error::UserError(
milli::UserError::InvalidVectorsMapType {
document_id: {
if let Ok(Some(Ok(index))) = index
.external_id_of(
&index_rtxn,
std::iter::once(docid),
)
if let Ok(Some(Ok(index))) = ctx
.index
.external_id_of(&index_rtxn, std::iter::once(docid))
.map(|it| it.into_iter().next())
{
index
@@ -225,9 +231,7 @@ impl IndexScheduler {
},
value: vectors.clone(),
},
),
Some(uid.to_string()),
));
)));
};
for (
@@ -236,9 +240,9 @@ impl IndexScheduler {
) in embeddings
{
let embeddings = ExplicitVectors {
embeddings: Some(
VectorOrArrayOfVectors::from_array_of_vectors(embeddings),
),
embeddings: Some(VectorOrArrayOfVectors::from_array_of_vectors(
embeddings,
)),
regenerate: regenerate &&
// Meilisearch does not handle well dumps with fragments, because as the fragments
// are marked as user-provided,
@@ -246,17 +250,16 @@ impl IndexScheduler {
// To prevent this, we mark embeddings has non regenerate in this case.
!has_fragments,
};
vectors.insert(
embedder_name,
serde_json::to_value(embeddings).unwrap(),
);
vectors
.insert(embedder_name, serde_json::to_value(embeddings).unwrap());
}
}
tmp_buffer.clear();
serde_json::to_writer(&mut tmp_buffer, &document)
.map_err(milli::InternalError::from)
.map_err(|e| Error::from_milli(e.into(), Some(uid.to_string())))?;
.map_err(milli::Error::from)
.map_err(err)?;
// Make sure we put at least one document in the buffer even
// though we might go above the buffer limit before sending
@@ -264,15 +267,11 @@ impl IndexScheduler {
// We compress the documents before sending them
let mut encoder =
GzEncoder::new(&mut compressed_buffer, Compression::default());
encoder
.write_all(&buffer)
.map_err(|e| Error::from_milli(e.into(), Some(uid.clone())))?;
encoder
.finish()
.map_err(|e| Error::from_milli(e.into(), Some(uid.clone())))?;
encoder.write_all(&buffer).map_err(milli::Error::from).map_err(err)?;
encoder.finish().map_err(milli::Error::from).map_err(err)?;
retry(&must_stop_processing, || {
let mut request = agent.post(&documents_url);
retry(ctx.must_stop_processing, || {
let mut request = ctx.agent.post(&documents_url);
request = request.set("Content-Type", "application/x-ndjson");
request = request.set("Content-Encoding", "gzip");
if let Some(bearer) = &bearer {
@@ -290,8 +289,8 @@ impl IndexScheduler {
}
}
retry(&must_stop_processing, || {
let mut request = agent.post(&documents_url);
retry(ctx.must_stop_processing, || {
let mut request = ctx.agent.post(&documents_url);
request = request.set("Content-Type", "application/x-ndjson");
if let Some(bearer) = &bearer {
request = request.set("Authorization", bearer);
@@ -301,20 +300,12 @@ impl IndexScheduler {
Ok(())
})
.map_err(|e| {
Error::from_milli(
milli::Error::InternalError(InternalError::PanicInThreadPool(e)),
Some(uid.to_string()),
)
})?;
.map_err(|e| err(milli::Error::InternalError(InternalError::PanicInThreadPool(e))))?;
for result in results {
result?;
}
step.store(total_documents, atomic::Ordering::Relaxed);
}
Ok(output)
Ok(total_documents as u64)
}
}
@@ -370,8 +361,31 @@ fn ureq_error_into_error(error: ureq::Error) -> Error {
}
Err(e) => e.into(),
},
ureq::Error::Transport(transport) => io::Error::new(io::ErrorKind::Other, transport).into(),
ureq::Error::Transport(transport) => io::Error::other(transport).into(),
}
}
// export_one_index arguments
pub(super) struct TargetInstance<'a> {
pub(super) base_url: &'a str,
pub(super) api_key: Option<&'a str>,
}
pub(super) struct ExportOptions<'a> {
pub(super) index_uid: &'a str,
pub(super) payload_size: Option<&'a Byte>,
pub(super) override_settings: bool,
pub(super) extra_headers: &'a hashbrown::HashMap<String, String>,
}
pub(super) struct ExportContext<'a> {
pub(super) index: &'a meilisearch_types::milli::Index,
pub(super) index_rtxn: &'a milli::heed::RoTxn<'a>,
pub(super) universe: &'a RoaringBitmap,
pub(super) progress: &'a Progress,
pub(super) agent: &'a ureq::Agent,
pub(super) must_stop_processing: &'a MustStopProcessing,
}
// progress related
enum ExportIndex {}

View File

@@ -97,7 +97,7 @@ impl IndexScheduler {
.embedding_configs()
.embedding_configs(index_wtxn)
.map_err(|e| Error::from_milli(e.into(), Some(index_uid.clone())))?;
let embedders = self.embedders(index_uid.clone(), embedders)?;
let embedders = self.embedders(&index_uid, embedders)?;
for operation in operations {
match operation {
DocumentOperation::Replace(_content_uuid) => {
@@ -284,7 +284,7 @@ impl IndexScheduler {
.embedding_configs()
.embedding_configs(index_wtxn)
.map_err(|err| Error::from_milli(err.into(), Some(index_uid.clone())))?;
let embedders = self.embedders(index_uid.clone(), embedders)?;
let embedders = self.embedders(&index_uid, embedders)?;
progress.update_progress(DocumentEditionProgress::Indexing);
congestion = Some(
@@ -434,7 +434,7 @@ impl IndexScheduler {
.embedding_configs()
.embedding_configs(index_wtxn)
.map_err(|err| Error::from_milli(err.into(), Some(index_uid.clone())))?;
let embedders = self.embedders(index_uid.clone(), embedders)?;
let embedders = self.embedders(&index_uid, embedders)?;
progress.update_progress(DocumentDeletionProgress::Indexing);
congestion = Some(

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test.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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [0,]

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, batch_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, batch_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 }}
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, batch_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 }}
----------------------------------------------------------------------

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, batch_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:

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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:

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued [0,]

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_embedders.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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, pooling: 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"), indexing_fragments: NotSet, search_fragments: NotSet, request: Set(String("{{text}}")), response: Set(String("{{embedding}}")), headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet }), "B_small_hf": Set(EmbeddingSettings { source: Set(HuggingFace), model: Set("sentence-transformers/all-MiniLM-L6-v2"), revision: Set("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"), pooling: NotSet, 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, indexing_fragments: NotSet, search_fragments: NotSet, request: NotSet, response: NotSet, headers: NotSet, search_embedder: NotSet, indexing_embedder: NotSet, distribution: NotSet })}), search_cutoff_ms: NotSet, localized_attributes: NotSet, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
----------------------------------------------------------------------
### Status:
enqueued []

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, batch_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:

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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:

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, batch_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, batch_uid: 2, status: succeeded, details: { received_document_ids: 1, deleted_documents: Some(1) }, kind: DocumentDeletion { index_uid: "doggos", documents_ids: ["1"] }}
3 {uid: 3, batch_uid: 2, status: failed, error: ResponseError { code: 200, message: "Index `doggos`: 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) }}

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
0 {uid: 0, batch_uid: 0, status: succeeded, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: NotSet, _kind: PhantomData<meilisearch_types::settings::Unchecked> }, is_deletion: false, allow_index_creation: true }}
1 {uid: 1, batch_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) }}

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { settings: Settings { displayed_attributes: WildcardSetting(NotSet), searchable_attributes: WildcardSetting(NotSet), filterable_attributes: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: 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: Set([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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([Field("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, facet_search: NotSet, prefix_search: NotSet, chat: NotSet, vector_store: 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:

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 20, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 21, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, batch_uid: 1, status: succeeded, details: { primary_key: Some("mouse"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
2 {uid: 2, batch_uid: 2, status: succeeded, details: { primary_key: Some("bone"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
3 {uid: 3, batch_uid: 3, status: failed, error: ResponseError { code: 200, message: "Index `doggo` already exists.", error_code: "index_already_exists", error_type: "invalid_request", error_link: "https://docs.meilisearch.com/errors#index_already_exists" }, details: { primary_key: Some("bone"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
@@ -57,7 +57,7 @@ girafo: { number_of_documents: 0, field_distribution: {} }
[timestamp] [4,]
----------------------------------------------------------------------
### All Batches:
0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.20.0"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.21.0"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
1 {uid: 1, details: {"primaryKey":"mouse"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"catto":1}}, stop reason: "created batch containing only task with id 1 of type `indexCreation` that cannot be batched with any other task.", }
2 {uid: 2, details: {"primaryKey":"bone"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"indexCreation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 2 of type `indexCreation` that cannot be batched with any other task.", }
3 {uid: 3, details: {"primaryKey":"bone"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"indexCreation":1},"indexUids":{"doggo":1}}, stop reason: "created batch containing only task with id 3 of type `indexCreation` that cannot be batched with any other task.", }

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 20, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 21, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
----------------------------------------------------------------------
### Status:
enqueued [0,]

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 20, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 21, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
----------------------------------------------------------------------
### Status:

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_uid: 0, status: failed, error: ResponseError { code: 200, message: "Planned failure for tests.", error_code: "internal", error_type: "internal", error_link: "https://docs.meilisearch.com/errors#internal" }, details: { from: (1, 12, 0), to: (1, 20, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, batch_uid: 0, status: failed, error: ResponseError { code: 200, message: "Planned failure for tests.", error_code: "internal", error_type: "internal", error_link: "https://docs.meilisearch.com/errors#internal" }, details: { from: (1, 12, 0), to: (1, 21, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
----------------------------------------------------------------------
### Status:
@@ -37,7 +37,7 @@ catto [1,]
[timestamp] [0,]
----------------------------------------------------------------------
### All Batches:
0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.20.0"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.21.0"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
----------------------------------------------------------------------
### Batch to tasks mapping:
0 [0,]

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_uid: 0, status: failed, error: ResponseError { code: 200, message: "Planned failure for tests.", error_code: "internal", error_type: "internal", error_link: "https://docs.meilisearch.com/errors#internal" }, details: { from: (1, 12, 0), to: (1, 20, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, batch_uid: 0, status: failed, error: ResponseError { code: 200, message: "Planned failure for tests.", error_code: "internal", error_type: "internal", error_link: "https://docs.meilisearch.com/errors#internal" }, details: { from: (1, 12, 0), to: (1, 21, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
2 {uid: 2, status: enqueued, details: { primary_key: Some("bone"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
----------------------------------------------------------------------
@@ -40,7 +40,7 @@ doggo [2,]
[timestamp] [0,]
----------------------------------------------------------------------
### All Batches:
0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.20.0"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.21.0"}, stats: {"totalNbTasks":1,"status":{"failed":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
----------------------------------------------------------------------
### Batch to tasks mapping:
0 [0,]

View File

@@ -6,7 +6,7 @@ source: crates/index-scheduler/src/scheduler/test_failure.rs
[]
----------------------------------------------------------------------
### All Tasks:
0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 20, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 21, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
2 {uid: 2, status: enqueued, details: { primary_key: Some("bone"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
3 {uid: 3, status: enqueued, details: { primary_key: Some("bone"), old_new_uid: None, new_index_uid: None }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
@@ -43,7 +43,7 @@ doggo [2,3,]
[timestamp] [0,]
----------------------------------------------------------------------
### All Batches:
0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.20.0"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
0 {uid: 0, details: {"upgradeFrom":"v1.12.0","upgradeTo":"v1.21.0"}, stats: {"totalNbTasks":1,"status":{"succeeded":1},"types":{"upgradeDatabase":1},"indexUids":{}}, stop reason: "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type.", }
----------------------------------------------------------------------
### Batch to tasks mapping:
0 [0,]

View File

@@ -722,7 +722,7 @@ fn basic_get_stats() {
let kind = index_creation_task("whalo", "fish");
let _task = index_scheduler.register(kind, None, false).unwrap();
snapshot!(json_string!(index_scheduler.get_stats().unwrap()), @r#"
snapshot!(json_string!(index_scheduler.get_stats().unwrap()), @r###"
{
"indexes": {
"catto": 1,
@@ -746,6 +746,7 @@ fn basic_get_stats() {
"indexDeletion": 0,
"indexSwap": 0,
"indexUpdate": 0,
"networkTopologyChange": 0,
"settingsUpdate": 0,
"snapshotCreation": 0,
"taskCancelation": 0,
@@ -753,7 +754,7 @@ fn basic_get_stats() {
"upgradeDatabase": 0
}
}
"#);
"###);
handle.advance_till([Start, BatchCreated]);
snapshot!(json_string!(index_scheduler.get_stats().unwrap()), @r#"

View File

@@ -121,7 +121,7 @@ fn import_vectors() {
insta::assert_json_snapshot!(simple_hf_config.embedder_options);
let simple_hf_name = name.clone();
let configs = index_scheduler.embedders("doggos".to_string(), configs).unwrap();
let configs = index_scheduler.embedders("doggos", configs).unwrap();
let hf_runtime = configs.get(&simple_hf_name).unwrap();
let hf_embedder = &hf_runtime.embedder;
let beagle_embed = hf_embedder

View File

@@ -126,7 +126,7 @@ impl IndexScheduler {
std::fs::create_dir_all(&options.auth_path).unwrap();
let auth_env = open_auth_store_env(&options.auth_path).unwrap();
let index_scheduler =
Self::new(options, auth_env, version, sender, planned_failures).unwrap();
Self::new(options, auth_env, version, None, sender, planned_failures).unwrap();
// To be 100% consistent between all test we're going to start the scheduler right now
// and ensure it's in the expected starting state.

View File

@@ -44,6 +44,7 @@ pub fn upgrade_index_scheduler(
(1, 18, _) => 0,
(1, 19, _) => 0,
(1, 20, _) => 0,
(1, 21, _) => 0,
(major, minor, patch) => {
if major > current_major
|| (major == current_major && minor > current_minor)

View File

@@ -285,6 +285,7 @@ pub fn swap_index_uid_in_task(task: &mut Task, swap: (&str, &str)) {
| K::DumpCreation { .. }
| K::Export { .. }
| K::UpgradeDatabase { .. }
| K::NetworkTopologyChange { .. }
| K::SnapshotCreation => (),
};
if let Some(Details::IndexSwap { swaps }) = &mut task.details {
@@ -618,6 +619,9 @@ impl crate::IndexScheduler {
Details::UpgradeDatabase { from: _, to: _ } => {
assert_eq!(kind.as_kind(), Kind::UpgradeDatabase);
}
Details::NetworkTopologyChange { .. } => {
assert_eq!(kind.as_kind(), Kind::NetworkTopologyChange);
}
}
}

View File

@@ -17,7 +17,7 @@ impl<'a> BytesDecode<'a> for UuidCodec {
impl BytesEncode<'_> for UuidCodec {
type EItem = Uuid;
fn bytes_encode(item: &Self::EItem) -> Result<Cow<[u8]>, BoxedError> {
fn bytes_encode(item: &Self::EItem) -> Result<Cow<'_, [u8]>, BoxedError> {
Ok(Cow::Borrowed(item.as_bytes()))
}
}

View File

@@ -271,9 +271,10 @@ macro_rules! json_string {
#[cfg(test)]
mod tests {
use uuid::Uuid;
use crate as meili_snap;
use crate::UUID_IN_MESSAGE_RE;
use uuid::Uuid;
#[test]
fn snap() {

View File

@@ -315,7 +315,9 @@ impl<'a> heed::BytesDecode<'a> for KeyIdActionCodec {
impl<'a> heed::BytesEncode<'a> for KeyIdActionCodec {
type EItem = (&'a KeyId, &'a Action, Option<&'a [u8]>);
fn bytes_encode((key_id, action, index): &Self::EItem) -> StdResult<Cow<[u8]>, BoxedError> {
fn bytes_encode(
(key_id, action, index): &'_ Self::EItem,
) -> StdResult<Cow<'_, [u8]>, BoxedError> {
let mut bytes = Vec::new();
bytes.extend_from_slice(key_id.as_bytes());

View File

@@ -5,31 +5,85 @@
use std::collections::BTreeMap;
use milli::update::new::indexer::enterprise_edition::sharding::Shards;
use deserr::Deserr;
use milli::update::new::indexer::enterprise_edition::sharding::{Shard, Shards};
use milli::update::Setting;
use serde::{Deserialize, Serialize};
use utoipa::ToSchema;
use crate::deserr::DeserrJsonError;
use crate::error::deserr_codes::{
InvalidNetworkRemotes, InvalidNetworkSearchApiKey, InvalidNetworkSelf, InvalidNetworkSharding,
InvalidNetworkUrl, InvalidNetworkWriteApiKey,
};
#[derive(Clone, Debug, Deserr, ToSchema, Serialize, Deserialize, PartialEq, Eq)]
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
#[serde(rename_all = "camelCase")]
#[schema(rename_all = "camelCase")]
pub struct Network {
#[schema(value_type = Option<BTreeMap<String, Remote>>, example = json!("http://localhost:7700"))]
#[deserr(default, error = DeserrJsonError<InvalidNetworkRemotes>)]
#[serde(default)]
pub remotes: Setting<BTreeMap<String, Option<Remote>>>,
#[schema(value_type = Option<String>, example = json!("ms-00"), rename = "self")]
#[serde(default, rename = "self")]
#[deserr(default, rename = "self", error = DeserrJsonError<InvalidNetworkSelf>)]
pub local: Setting<String>,
#[schema(value_type = Option<bool>, example = json!(true))]
#[serde(default)]
#[deserr(default, error = DeserrJsonError<InvalidNetworkSharding>)]
pub sharding: Setting<bool>,
}
#[derive(Clone, Debug, Deserr, ToSchema, Serialize, Deserialize, PartialEq, Eq)]
#[deserr(error = DeserrJsonError<InvalidNetworkRemotes>, rename_all = camelCase, deny_unknown_fields)]
#[serde(rename_all = "camelCase")]
#[schema(rename_all = "camelCase")]
pub struct Remote {
#[schema(value_type = Option<String>, example = json!({
"ms-0": Remote { url: Setting::Set("http://localhost:7700".into()), search_api_key: Setting::Reset, write_api_key: Setting::Reset },
"ms-1": Remote { url: Setting::Set("http://localhost:7701".into()), search_api_key: Setting::Set("foo".into()), write_api_key: Setting::Set("bar".into()) },
"ms-2": Remote { url: Setting::Set("http://localhost:7702".into()), search_api_key: Setting::Set("bar".into()), write_api_key: Setting::Set("foo".into()) },
}))]
#[deserr(default, error = DeserrJsonError<InvalidNetworkUrl>)]
#[serde(default)]
pub url: Setting<String>,
#[schema(value_type = Option<String>, example = json!("XWnBI8QHUc-4IlqbKPLUDuhftNq19mQtjc6JvmivzJU"))]
#[deserr(default, error = DeserrJsonError<InvalidNetworkSearchApiKey>)]
#[serde(default)]
pub search_api_key: Setting<String>,
#[schema(value_type = Option<String>, example = json!("XWnBI8QHUc-4IlqbKPLUDuhftNq19mQtjc6JvmivzJU"))]
#[deserr(default, error = DeserrJsonError<InvalidNetworkWriteApiKey>)]
#[serde(default)]
pub write_api_key: Setting<String>,
}
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq, Default)]
#[serde(rename_all = "camelCase")]
pub struct Network {
pub struct DbNetwork {
#[serde(default, rename = "self")]
pub local: Option<String>,
#[serde(default)]
pub remotes: BTreeMap<String, Remote>,
pub remotes: BTreeMap<String, DbRemote>,
#[serde(default)]
pub sharding: bool,
}
impl Network {
impl DbNetwork {
pub fn shards(&self) -> Option<Shards> {
if self.sharding {
let this = self.local.as_deref().expect("Inconsistent `sharding` and `self`");
let others = self
.remotes
let this = self.local.as_deref();
Some(Shards(
self.remotes
.keys()
.filter(|name| name.as_str() != this)
.map(|name| name.to_owned())
.collect();
Some(Shards { own: vec![this.to_owned()], others })
.map(|name| Shard {
is_own: Some(name.as_str()) == this,
name: name.to_owned(),
})
.collect(),
))
} else {
None
}
@@ -38,7 +92,7 @@ impl Network {
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq)]
#[serde(rename_all = "camelCase")]
pub struct Remote {
pub struct DbRemote {
pub url: String,
#[serde(default)]
pub search_api_key: Option<String>,

View File

@@ -5,6 +5,7 @@ use actix_web::{self as aweb, HttpResponseBuilder};
use aweb::http::header;
use aweb::rt::task::JoinError;
use convert_case::Casing;
use milli::cellulite;
use milli::heed::{Error as HeedError, MdbError};
use serde::{Deserialize, Serialize};
use utoipa::ToSchema;
@@ -239,6 +240,7 @@ InconsistentDocumentChangeHeaders , InvalidRequest , BAD_REQU
InvalidDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentSort , InvalidRequest , BAD_REQUEST ;
InvalidDocumentGeoField , InvalidRequest , BAD_REQUEST ;
InvalidDocumentGeojsonField , InvalidRequest , BAD_REQUEST ;
InvalidHeaderValue , InvalidRequest , BAD_REQUEST ;
InvalidVectorDimensions , InvalidRequest , BAD_REQUEST ;
InvalidVectorsType , InvalidRequest , BAD_REQUEST ;
@@ -396,6 +398,7 @@ InvalidDocumentEditionContext , InvalidRequest , BAD_REQU
InvalidDocumentEditionFunctionFilter , InvalidRequest , BAD_REQUEST ;
EditDocumentsByFunctionError , InvalidRequest , BAD_REQUEST ;
InvalidSettingsIndexChat , InvalidRequest , BAD_REQUEST ;
InvalidSettingsVectorStore , InvalidRequest , BAD_REQUEST ;
// Export
InvalidExportUrl , InvalidRequest , BAD_REQUEST ;
InvalidExportApiKey , InvalidRequest , BAD_REQUEST ;
@@ -500,7 +503,9 @@ impl ErrorCode for milli::Error {
Code::InvalidFacetSearchFacetName
}
UserError::CriterionError(_) => Code::InvalidSettingsRankingRules,
UserError::InvalidGeoField { .. } => Code::InvalidDocumentGeoField,
UserError::InvalidGeoField { .. } | UserError::GeoJsonError(_) => {
Code::InvalidDocumentGeoField
}
UserError::InvalidVectorDimensions { .. }
| UserError::InvalidIndexingVectorDimensions { .. } => {
Code::InvalidVectorDimensions
@@ -524,6 +529,19 @@ impl ErrorCode for milli::Error {
| UserError::DocumentEditionCompilationError(_) => {
Code::EditDocumentsByFunctionError
}
UserError::NetworkShardingWithoutSelf => Code::InvalidNetworkSharding,
UserError::NetworkMissingUrl(_) => Code::MissingNetworkUrl,
UserError::CelluliteError(err) => match err {
cellulite::Error::BuildCanceled
| cellulite::Error::VersionMismatchOnBuild(_)
| cellulite::Error::DatabaseDoesntExists
| cellulite::Error::Heed(_)
| cellulite::Error::InvalidGeometry(_)
| cellulite::Error::InternalDocIdMissing(_, _)
| cellulite::Error::CannotConvertLineToCell(_, _, _) => Code::Internal,
cellulite::Error::InvalidGeoJson(_) => Code::InvalidDocumentGeojsonField,
},
UserError::MalformedGeojson(_) => Code::InvalidDocumentGeojsonField,
}
}
}

View File

@@ -21,6 +21,7 @@ pub struct RuntimeTogglableFeatures {
pub composite_embedders: bool,
pub chat_completions: bool,
pub multimodal: bool,
pub vector_store_setting: bool,
}
#[derive(Default, Debug, Clone, Copy)]

View File

@@ -1,3 +1,5 @@
#![allow(clippy::result_large_err)]
pub mod batch_view;
pub mod batches;
pub mod compression;

View File

@@ -14,6 +14,7 @@ use milli::proximity::ProximityPrecision;
pub use milli::update::ChatSettings;
use milli::update::Setting;
use milli::vector::db::IndexEmbeddingConfig;
use milli::vector::VectorStoreBackend;
use milli::{Criterion, CriterionError, FilterableAttributesRule, Index, DEFAULT_VALUES_PER_FACET};
use serde::{Deserialize, Serialize, Serializer};
use utoipa::ToSchema;
@@ -320,6 +321,11 @@ pub struct Settings<T> {
#[schema(value_type = Option<ChatSettings>)]
pub chat: Setting<ChatSettings>,
#[serde(default, skip_serializing_if = "Setting::is_not_set")]
#[deserr(default, error = DeserrJsonError<InvalidSettingsVectorStore>)]
#[schema(value_type = Option<VectorStoreBackend>)]
pub vector_store: Setting<VectorStoreBackend>,
#[serde(skip)]
#[deserr(skip)]
pub _kind: PhantomData<T>,
@@ -386,6 +392,7 @@ impl Settings<Checked> {
facet_search: Setting::Reset,
prefix_search: Setting::Reset,
chat: Setting::Reset,
vector_store: Setting::Reset,
_kind: PhantomData,
}
}
@@ -413,6 +420,7 @@ impl Settings<Checked> {
facet_search,
prefix_search,
chat,
vector_store,
_kind,
} = self;
@@ -437,6 +445,7 @@ impl Settings<Checked> {
localized_attributes: localized_attributes_rules,
facet_search,
prefix_search,
vector_store,
chat,
_kind: PhantomData,
}
@@ -489,6 +498,7 @@ impl Settings<Unchecked> {
facet_search: self.facet_search,
prefix_search: self.prefix_search,
chat: self.chat,
vector_store: self.vector_store,
_kind: PhantomData,
}
}
@@ -569,6 +579,7 @@ impl Settings<Unchecked> {
facet_search: other.facet_search.or(self.facet_search),
prefix_search: other.prefix_search.or(self.prefix_search),
chat: other.chat.clone().or(self.chat.clone()),
vector_store: other.vector_store.or(self.vector_store),
_kind: PhantomData,
}
}
@@ -608,6 +619,7 @@ pub fn apply_settings_to_builder(
facet_search,
prefix_search,
chat,
vector_store,
_kind,
} = settings;
@@ -825,6 +837,12 @@ pub fn apply_settings_to_builder(
Setting::Reset => builder.reset_chat(),
Setting::NotSet => (),
}
match vector_store {
Setting::Set(vector_store) => builder.set_vector_store(*vector_store),
Setting::Reset => builder.reset_vector_store(),
Setting::NotSet => (),
}
}
pub enum SecretPolicy {
@@ -922,6 +940,9 @@ pub fn settings(
(name, SettingEmbeddingSettings { inner: Setting::Set(config.into()) })
})
.collect();
let vector_store = index.get_vector_store(rtxn)?;
let embedders = Setting::Set(embedders);
let search_cutoff_ms = index.search_cutoff(rtxn)?;
let localized_attributes_rules = index.localized_attributes_rules(rtxn)?;
@@ -968,6 +989,10 @@ pub fn settings(
facet_search: Setting::Set(facet_search),
prefix_search: Setting::Set(prefix_search.unwrap_or_default()),
chat: Setting::Set(chat),
vector_store: match vector_store {
Some(vector_store) => Setting::Set(vector_store),
None => Setting::Reset,
},
_kind: PhantomData,
};
@@ -1197,6 +1222,7 @@ pub(crate) mod test {
facet_search: Setting::NotSet,
prefix_search: Setting::NotSet,
chat: Setting::NotSet,
vector_store: Setting::NotSet,
_kind: PhantomData::<Unchecked>,
};
@@ -1229,6 +1255,7 @@ pub(crate) mod test {
facet_search: Setting::NotSet,
prefix_search: Setting::NotSet,
chat: Setting::NotSet,
vector_store: Setting::NotSet,
_kind: PhantomData::<Unchecked>,
};

View File

@@ -7,6 +7,7 @@ use time::{Duration, OffsetDateTime};
use utoipa::ToSchema;
use crate::batches::BatchId;
use crate::enterprise_edition::network::Network;
use crate::error::ResponseError;
use crate::settings::{Settings, Unchecked};
use crate::tasks::{
@@ -142,6 +143,9 @@ pub struct DetailsView {
pub old_index_uid: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub new_index_uid: Option<String>,
// network
#[serde(skip_serializing_if = "Option::is_none")]
pub network: Option<Network>,
}
impl DetailsView {
@@ -314,6 +318,10 @@ impl DetailsView {
// We should never be able to batch multiple renames at the same time.
(Some(left), Some(_right)) => Some(left),
},
network: match (&self.network, &other.network) {
(None, None) => None,
(_, Some(network)) | (Some(network), None) => Some(network.clone()),
},
}
}
}
@@ -415,6 +423,9 @@ impl From<Details> for DetailsView {
upgrade_to: Some(format!("v{}.{}.{}", to.0, to.1, to.2)),
..Default::default()
},
Details::NetworkTopologyChange { network: new_network } => {
DetailsView { network: new_network, ..Default::default() }
}
}
}
}

View File

@@ -15,6 +15,7 @@ use utoipa::{schema, ToSchema};
use uuid::Uuid;
use crate::batches::BatchId;
use crate::enterprise_edition::network::Network;
use crate::error::ResponseError;
use crate::index_uid_pattern::IndexUidPattern;
use crate::keys::Key;
@@ -58,6 +59,7 @@ impl Task {
| TaskDeletion { .. }
| Export { .. }
| UpgradeDatabase { .. }
| NetworkTopologyChange { .. }
| IndexSwap { .. } => None,
DocumentAdditionOrUpdate { index_uid, .. }
| DocumentEdition { index_uid, .. }
@@ -94,7 +96,8 @@ impl Task {
| KindWithContent::DumpCreation { .. }
| KindWithContent::SnapshotCreation
| KindWithContent::Export { .. }
| KindWithContent::UpgradeDatabase { .. } => None,
| KindWithContent::UpgradeDatabase { .. }
| KindWithContent::NetworkTopologyChange { .. } => None,
}
}
}
@@ -170,6 +173,10 @@ pub enum KindWithContent {
UpgradeDatabase {
from: (u32, u32, u32),
},
NetworkTopologyChange {
network: Option<Network>,
origin: Option<Origin>,
},
}
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, ToSchema)]
@@ -206,6 +213,7 @@ impl KindWithContent {
KindWithContent::SnapshotCreation => Kind::SnapshotCreation,
KindWithContent::Export { .. } => Kind::Export,
KindWithContent::UpgradeDatabase { .. } => Kind::UpgradeDatabase,
KindWithContent::NetworkTopologyChange { .. } => Kind::NetworkTopologyChange,
}
}
@@ -218,6 +226,7 @@ impl KindWithContent {
| TaskCancelation { .. }
| TaskDeletion { .. }
| Export { .. }
| NetworkTopologyChange { .. }
| UpgradeDatabase { .. } => vec![],
DocumentAdditionOrUpdate { index_uid, .. }
| DocumentEdition { index_uid, .. }
@@ -325,6 +334,9 @@ impl KindWithContent {
versioning::VERSION_PATCH,
),
}),
KindWithContent::NetworkTopologyChange { network: new_network, origin: _ } => {
Some(Details::NetworkTopologyChange { network: new_network.clone() })
}
}
}
@@ -407,6 +419,9 @@ impl KindWithContent {
versioning::VERSION_PATCH,
),
}),
KindWithContent::NetworkTopologyChange { network: new_network, origin: _s } => {
Some(Details::NetworkTopologyChange { network: new_network.clone() })
}
}
}
}
@@ -469,6 +484,9 @@ impl From<&KindWithContent> for Option<Details> {
versioning::VERSION_PATCH,
),
}),
KindWithContent::NetworkTopologyChange { network: new_network, origin: _ } => {
Some(Details::NetworkTopologyChange { network: new_network.clone() })
}
}
}
}
@@ -579,6 +597,7 @@ pub enum Kind {
SnapshotCreation,
Export,
UpgradeDatabase,
NetworkTopologyChange,
}
impl Kind {
@@ -597,7 +616,8 @@ impl Kind {
| Kind::DumpCreation
| Kind::Export
| Kind::UpgradeDatabase
| Kind::SnapshotCreation => false,
| Kind::SnapshotCreation
| Kind::NetworkTopologyChange => false,
}
}
}
@@ -618,6 +638,7 @@ impl Display for Kind {
Kind::SnapshotCreation => write!(f, "snapshotCreation"),
Kind::Export => write!(f, "export"),
Kind::UpgradeDatabase => write!(f, "upgradeDatabase"),
Kind::NetworkTopologyChange => write!(f, "networkTopologyChange"),
}
}
}
@@ -653,6 +674,8 @@ impl FromStr for Kind {
Ok(Kind::Export)
} else if kind.eq_ignore_ascii_case("upgradeDatabase") {
Ok(Kind::UpgradeDatabase)
} else if kind.eq_ignore_ascii_case("networkTopologyChange") {
Ok(Kind::NetworkTopologyChange)
} else {
Err(ParseTaskKindError(kind.to_owned()))
}
@@ -738,6 +761,9 @@ pub enum Details {
from: (u32, u32, u32),
to: (u32, u32, u32),
},
NetworkTopologyChange {
network: Option<Network>,
},
}
#[derive(Debug, PartialEq, Clone, Serialize, Deserialize, ToSchema)]
@@ -805,6 +831,7 @@ impl Details {
| Self::Dump { .. }
| Self::Export { .. }
| Self::UpgradeDatabase { .. }
| Self::NetworkTopologyChange { .. }
| Self::IndexSwap { .. } => (),
}

View File

@@ -205,6 +205,7 @@ struct Infos {
experimental_no_snapshot_compaction: bool,
experimental_no_edition_2024_for_dumps: bool,
experimental_no_edition_2024_for_settings: bool,
experimental_vector_store_setting: bool,
gpu_enabled: bool,
db_path: bool,
import_dump: bool,
@@ -307,6 +308,7 @@ impl Infos {
composite_embedders,
chat_completions,
multimodal,
vector_store_setting,
} = features;
// We're going to override every sensible information.
@@ -332,6 +334,7 @@ impl Infos {
experimental_embedding_cache_entries,
experimental_no_snapshot_compaction,
experimental_no_edition_2024_for_dumps,
experimental_vector_store_setting: vector_store_setting,
gpu_enabled: meilisearch_types::milli::vector::is_cuda_enabled(),
db_path: db_path != PathBuf::from("./data.ms"),
import_dump: import_dump.is_some(),

View File

@@ -12,6 +12,7 @@ use tokio::task::JoinError;
use crate::routes::indexes::{PROXY_ORIGIN_REMOTE_HEADER, PROXY_ORIGIN_TASK_UID_HEADER};
#[derive(Debug, thiserror::Error)]
#[allow(clippy::large_enum_variant)]
pub enum MeilisearchHttpError {
#[error("A Content-Type header is missing. Accepted values for the Content-Type header are: {}",
.0.iter().map(|s| format!("`{}`", s)).collect::<Vec<_>>().join(", "))]

View File

@@ -1,4 +1,6 @@
#![allow(clippy::result_large_err)]
#![allow(rustdoc::private_intra_doc_links)]
#[macro_use]
pub mod error;
pub mod analytics;
@@ -214,7 +216,10 @@ enum OnFailure {
KeepDb,
}
pub fn setup_meilisearch(opt: &Opt) -> anyhow::Result<(Arc<IndexScheduler>, Arc<AuthController>)> {
pub fn setup_meilisearch(
opt: &Opt,
handle: tokio::runtime::Handle,
) -> anyhow::Result<(Arc<IndexScheduler>, Arc<AuthController>)> {
let index_scheduler_opt = IndexSchedulerOptions {
version_file_path: opt.db_path.join(VERSION_FILE_NAME),
auth_path: opt.db_path.join("auth"),
@@ -254,6 +259,7 @@ pub fn setup_meilisearch(opt: &Opt) -> anyhow::Result<(Arc<IndexScheduler>, Arc<
index_scheduler_opt,
OnFailure::RemoveDb,
binary_version, // the db is empty
handle,
)?,
Err(e) => {
std::fs::remove_dir_all(&opt.db_path)?;
@@ -271,7 +277,7 @@ pub fn setup_meilisearch(opt: &Opt) -> anyhow::Result<(Arc<IndexScheduler>, Arc<
bail!("snapshot doesn't exist at {}", snapshot_path.display())
// the snapshot and the db exist, and we can ignore the snapshot because of the ignore_snapshot_if_db_exists flag
} else {
open_or_create_database(opt, index_scheduler_opt, empty_db, binary_version)?
open_or_create_database(opt, index_scheduler_opt, empty_db, binary_version, handle)?
}
} else if let Some(ref path) = opt.import_dump {
let src_path_exists = path.exists();
@@ -282,6 +288,7 @@ pub fn setup_meilisearch(opt: &Opt) -> anyhow::Result<(Arc<IndexScheduler>, Arc<
index_scheduler_opt,
OnFailure::RemoveDb,
binary_version, // the db is empty
handle,
)?;
match import_dump(&opt.db_path, path, &mut index_scheduler, &mut auth_controller) {
Ok(()) => (index_scheduler, auth_controller),
@@ -302,10 +309,10 @@ pub fn setup_meilisearch(opt: &Opt) -> anyhow::Result<(Arc<IndexScheduler>, Arc<
// the dump and the db exist and we can ignore the dump because of the ignore_dump_if_db_exists flag
// or, the dump is missing but we can ignore that because of the ignore_missing_dump flag
} else {
open_or_create_database(opt, index_scheduler_opt, empty_db, binary_version)?
open_or_create_database(opt, index_scheduler_opt, empty_db, binary_version, handle)?
}
} else {
open_or_create_database(opt, index_scheduler_opt, empty_db, binary_version)?
open_or_create_database(opt, index_scheduler_opt, empty_db, binary_version, handle)?
};
// We create a loop in a thread that registers snapshotCreation tasks
@@ -336,6 +343,7 @@ fn open_or_create_database_unchecked(
index_scheduler_opt: IndexSchedulerOptions,
on_failure: OnFailure,
version: (u32, u32, u32),
handle: tokio::runtime::Handle,
) -> anyhow::Result<(IndexScheduler, AuthController)> {
// we don't want to create anything in the data.ms yet, thus we
// wrap our two builders in a closure that'll be executed later.
@@ -343,7 +351,7 @@ fn open_or_create_database_unchecked(
let auth_env = open_auth_store_env(&index_scheduler_opt.auth_path).unwrap();
let auth_controller = AuthController::new(auth_env.clone(), &opt.master_key);
let index_scheduler_builder = || -> anyhow::Result<_> {
Ok(IndexScheduler::new(index_scheduler_opt, auth_env, version)?)
Ok(IndexScheduler::new(index_scheduler_opt, auth_env, version, Some(handle))?)
};
match (
@@ -450,6 +458,7 @@ fn open_or_create_database(
index_scheduler_opt: IndexSchedulerOptions,
empty_db: bool,
binary_version: (u32, u32, u32),
handle: tokio::runtime::Handle,
) -> anyhow::Result<(IndexScheduler, AuthController)> {
let version = if !empty_db {
check_version(opt, &index_scheduler_opt, binary_version)?
@@ -457,7 +466,7 @@ fn open_or_create_database(
binary_version
};
open_or_create_database_unchecked(opt, index_scheduler_opt, OnFailure::KeepDb, version)
open_or_create_database_unchecked(opt, index_scheduler_opt, OnFailure::KeepDb, version, handle)
}
fn import_dump(
@@ -582,7 +591,7 @@ fn import_dump(
let reader = DocumentsBatchReader::from_reader(reader)?;
let embedder_configs = index.embedding_configs().embedding_configs(&wtxn)?;
let embedders = index_scheduler.embedders(uid.to_string(), embedder_configs)?;
let embedders = index_scheduler.embedders(&uid, embedder_configs)?;
let builder = milli::update::IndexDocuments::new(
&mut wtxn,
@@ -610,7 +619,7 @@ fn import_dump(
let mut indexer = indexer::DocumentOperation::new();
let embedders = index.embedding_configs().embedding_configs(&rtxn)?;
let embedders = index_scheduler.embedders(uid.clone(), embedders)?;
let embedders = index_scheduler.embedders(&uid, embedders)?;
let mmap = unsafe { memmap2::Mmap::map(index_reader.documents_file())? };

View File

@@ -76,7 +76,10 @@ fn on_panic(info: &std::panic::PanicHookInfo) {
#[actix_web::main]
async fn main() -> anyhow::Result<()> {
try_main().await.inspect_err(|error| {
// won't panic inside of tokio::main
let runtime = tokio::runtime::Handle::current();
try_main(runtime).await.inspect_err(|error| {
tracing::error!(%error);
let mut current = error.source();
let mut depth = 0;
@@ -88,7 +91,7 @@ async fn main() -> anyhow::Result<()> {
})
}
async fn try_main() -> anyhow::Result<()> {
async fn try_main(runtime: tokio::runtime::Handle) -> anyhow::Result<()> {
let (opt, config_read_from) = Opt::try_build()?;
std::panic::set_hook(Box::new(on_panic));
@@ -122,7 +125,7 @@ async fn try_main() -> anyhow::Result<()> {
_ => (),
}
let (index_scheduler, auth_controller) = setup_meilisearch(&opt)?;
let (index_scheduler, auth_controller) = setup_meilisearch(&opt, runtime)?;
let analytics =
analytics::Analytics::new(&opt, index_scheduler.clone(), auth_controller.clone()).await;

View File

@@ -282,8 +282,7 @@ async fn process_search_request(
if let Some(search_rules) = auth_filter.get_index_search_rules(&index_uid) {
add_search_rules(&mut query.filter, search_rules);
}
let search_kind =
search_kind(&query, index_scheduler.get_ref(), index_uid.to_string(), &index)?;
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index_uid, &index)?;
let permit = search_queue.try_get_search_permit().await?;
let features = index_scheduler.features();
@@ -300,7 +299,7 @@ async fn process_search_request(
let (search, _is_finite_pagination, _max_total_hits, _offset) =
prepare_search(&index_cloned, &rtxn, &query, &search_kind, time_budget, features)?;
match search_from_kind(index_uid, search_kind, search) {
match search_from_kind(&index_uid, search_kind, search) {
Ok((search_results, _)) => Ok((rtxn, Ok(search_results))),
Err(MeilisearchHttpError::Milli {
error: meilisearch_types::milli::Error::UserError(user_error),

View File

@@ -55,6 +55,7 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
composite_embedders: Some(false),
chat_completions: Some(false),
multimodal: Some(false),
vector_store_setting: Some(false),
})),
(status = 401, description = "The authorization header is missing", body = ResponseError, content_type = "application/json", example = json!(
{
@@ -103,6 +104,8 @@ pub struct RuntimeTogglableFeatures {
pub chat_completions: Option<bool>,
#[deserr(default)]
pub multimodal: Option<bool>,
#[deserr(default)]
pub vector_store_setting: Option<bool>,
}
impl From<meilisearch_types::features::RuntimeTogglableFeatures> for RuntimeTogglableFeatures {
@@ -117,6 +120,7 @@ impl From<meilisearch_types::features::RuntimeTogglableFeatures> for RuntimeTogg
composite_embedders,
chat_completions,
multimodal,
vector_store_setting,
} = value;
Self {
@@ -129,6 +133,7 @@ impl From<meilisearch_types::features::RuntimeTogglableFeatures> for RuntimeTogg
composite_embedders: Some(composite_embedders),
chat_completions: Some(chat_completions),
multimodal: Some(multimodal),
vector_store_setting: Some(vector_store_setting),
}
}
}
@@ -144,6 +149,7 @@ pub struct PatchExperimentalFeatureAnalytics {
composite_embedders: bool,
chat_completions: bool,
multimodal: bool,
vector_store_setting: bool,
}
impl Aggregate for PatchExperimentalFeatureAnalytics {
@@ -162,6 +168,7 @@ impl Aggregate for PatchExperimentalFeatureAnalytics {
composite_embedders: new.composite_embedders,
chat_completions: new.chat_completions,
multimodal: new.multimodal,
vector_store_setting: new.vector_store_setting,
})
}
@@ -189,6 +196,7 @@ impl Aggregate for PatchExperimentalFeatureAnalytics {
composite_embedders: Some(false),
chat_completions: Some(false),
multimodal: Some(false),
vector_store_setting: Some(false),
})),
(status = 401, description = "The authorization header is missing", body = ResponseError, content_type = "application/json", example = json!(
{
@@ -232,6 +240,10 @@ async fn patch_features(
.unwrap_or(old_features.composite_embedders),
chat_completions: new_features.0.chat_completions.unwrap_or(old_features.chat_completions),
multimodal: new_features.0.multimodal.unwrap_or(old_features.multimodal),
vector_store_setting: new_features
.0
.vector_store_setting
.unwrap_or(old_features.vector_store_setting),
};
// explicitly destructure for analytics rather than using the `Serialize` implementation, because
@@ -247,6 +259,7 @@ async fn patch_features(
composite_embedders,
chat_completions,
multimodal,
vector_store_setting,
} = new_features;
analytics.publish(
@@ -260,6 +273,7 @@ async fn patch_features(
composite_embedders,
chat_completions,
multimodal,
vector_store_setting,
},
&req,
);

View File

@@ -45,7 +45,7 @@ use crate::extractors::authentication::policies::*;
use crate::extractors::authentication::GuardedData;
use crate::extractors::payload::Payload;
use crate::extractors::sequential_extractor::SeqHandler;
use crate::routes::indexes::enterprise_edition::proxy::{proxy, Body};
use crate::routes::indexes::enterprise_edition::proxy::{check_leader, proxy, Body};
use crate::routes::indexes::search::fix_sort_query_parameters;
use crate::routes::{
get_task_id, is_dry_run, PaginationView, SummarizedTaskView, PAGINATION_DEFAULT_LIMIT,
@@ -340,6 +340,7 @@ pub async fn delete_document(
let DocumentParam { index_uid, document_id } = path.into_inner();
let index_uid = IndexUid::try_from(index_uid)?;
let network = index_scheduler.network();
let origin = check_leader(&req, &network)?;
analytics.publish(
DocumentsDeletionAggregator {
@@ -363,7 +364,7 @@ pub async fn delete_document(
};
if network.sharding && !dry_run {
proxy(&index_scheduler, &index_uid, &req, network, Body::none(), &task).await?;
proxy(&index_scheduler, &index_uid, &req, origin, network, Body::none(), &task).await?;
}
let task: SummarizedTaskView = task.into();
@@ -946,6 +947,7 @@ async fn document_addition(
) -> Result<SummarizedTaskView, MeilisearchHttpError> {
let mime_type = extract_mime_type(req)?;
let network = index_scheduler.network();
let origin = check_leader(&req, &network)?;
let format = match (
mime_type.as_ref().map(|m| (m.type_().as_str(), m.subtype().as_str())),
@@ -1081,6 +1083,7 @@ async fn document_addition(
&index_scheduler,
&index_uid,
req,
origin,
network,
Body::with_ndjson_payload(file),
&task,
@@ -1168,6 +1171,7 @@ pub async fn delete_documents_batch(
debug!(parameters = ?body, "Delete documents by batch");
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let network = index_scheduler.network();
let origin = check_leader(&req, &network)?;
analytics.publish(
DocumentsDeletionAggregator {
@@ -1194,7 +1198,8 @@ pub async fn delete_documents_batch(
};
if network.sharding && !dry_run {
proxy(&index_scheduler, &index_uid, &req, network, Body::Inline(body), &task).await?;
proxy(&index_scheduler, &index_uid, &req, origin, network, Body::Inline(body), &task)
.await?;
}
let task: SummarizedTaskView = task.into();
@@ -1254,6 +1259,7 @@ pub async fn delete_documents_by_filter(
let index_uid = index_uid.into_inner();
let filter = body.into_inner();
let network = index_scheduler.network();
let origin = check_leader(&req, &network)?;
analytics.publish(
DocumentsDeletionAggregator {
@@ -1286,7 +1292,8 @@ pub async fn delete_documents_by_filter(
};
if network.sharding && !dry_run {
proxy(&index_scheduler, &index_uid, &req, network, Body::Inline(filter), &task).await?;
proxy(&index_scheduler, &index_uid, &req, origin, network, Body::Inline(filter), &task)
.await?;
}
let task: SummarizedTaskView = task.into();
@@ -1384,6 +1391,7 @@ pub async fn edit_documents_by_function(
.check_edit_documents_by_function("Using the documents edit route")?;
let network = index_scheduler.network();
let origin = check_leader(&req, &network)?;
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let index_uid = index_uid.into_inner();
@@ -1436,7 +1444,8 @@ pub async fn edit_documents_by_function(
};
if network.sharding && !dry_run {
proxy(&index_scheduler, &index_uid, &req, network, Body::Inline(params), &task).await?;
proxy(&index_scheduler, &index_uid, &req, origin, network, Body::Inline(params), &task)
.await?;
}
let task: SummarizedTaskView = task.into();
@@ -1483,6 +1492,7 @@ pub async fn clear_all_documents(
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let network = index_scheduler.network();
let origin = check_leader(&req, &network)?;
analytics.publish(
DocumentsDeletionAggregator {
@@ -1505,7 +1515,7 @@ pub async fn clear_all_documents(
};
if network.sharding && !dry_run {
proxy(&index_scheduler, &index_uid, &req, network, Body::none(), &task).await?;
proxy(&index_scheduler, &index_uid, &req, origin, network, Body::none(), &task).await?;
}
let task: SummarizedTaskView = task.into();

View File

@@ -38,6 +38,27 @@ impl Body<()> {
}
}
pub fn check_leader(
req: &HttpRequest,
network: &meilisearch_types::enterprise_edition::network::DbNetwork,
) -> Result<Option<Origin>, MeilisearchHttpError> {
match origin_from_req(req)? {
Some(origin) => Ok(Some(origin)),
None => {
let this = network
.local
.as_deref()
.expect("inconsistent `network.sharding` and `network.self`");
let is_leader = this == todo!();
if !is_leader {
return Err(MeilisearchHttpError::NotLeader { leader: todo!() });
}
Ok(None)
}
}
}
/// If necessary, proxies the passed request to the network and update the task description.
///
/// This function reads the custom headers from the request to determine if must proxy the request or if the request
@@ -52,11 +73,12 @@ pub async fn proxy<T: serde::Serialize>(
index_scheduler: &IndexScheduler,
index_uid: &str,
req: &HttpRequest,
network: meilisearch_types::enterprise_edition::network::Network,
origin: Option<Origin>,
network: meilisearch_types::enterprise_edition::network::DbNetwork,
body: Body<T>,
task: &meilisearch_types::tasks::Task,
) -> Result<(), MeilisearchHttpError> {
match origin_from_req(req)? {
match origin {
Some(origin) => {
index_scheduler.set_task_network(task.uid, TaskNetwork::Origin { origin })?
}

View File

@@ -260,7 +260,7 @@ pub async fn search(
}
let index = index_scheduler.index(&index_uid)?;
let search_kind = search_kind(&search_query, &index_scheduler, index_uid.to_string(), &index)?;
let search_kind = search_kind(&search_query, &index_scheduler, &index_uid, &index)?;
let permit = search_queue.try_get_search_permit().await?;
let search_result = tokio::task::spawn_blocking(move || {
perform_facet_search(

View File

@@ -339,13 +339,12 @@ pub async fn search_with_url_query(
let index = index_scheduler.index(&index_uid)?;
let search_kind =
search_kind(&query, index_scheduler.get_ref(), index_uid.to_string(), &index)?;
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index_uid, &index)?;
let retrieve_vector = RetrieveVectors::new(query.retrieve_vectors);
let permit = search_queue.try_get_search_permit().await?;
let search_result = tokio::task::spawn_blocking(move || {
perform_search(
index_uid.to_string(),
&index_uid,
&index,
query,
search_kind,
@@ -445,14 +444,13 @@ pub async fn search_with_post(
let index = index_scheduler.index(&index_uid)?;
let search_kind =
search_kind(&query, index_scheduler.get_ref(), index_uid.to_string(), &index)?;
let search_kind = search_kind(&query, index_scheduler.get_ref(), &index_uid, &index)?;
let retrieve_vectors = RetrieveVectors::new(query.retrieve_vectors);
let permit = search_queue.try_get_search_permit().await?;
let search_result = tokio::task::spawn_blocking(move || {
perform_search(
index_uid.to_string(),
&index_uid,
&index,
query,
search_kind,
@@ -480,7 +478,7 @@ pub async fn search_with_post(
pub fn search_kind(
query: &SearchQuery,
index_scheduler: &IndexScheduler,
index_uid: String,
index_uid: &str,
index: &milli::Index,
) -> Result<SearchKind, ResponseError> {
let is_placeholder_query =

View File

@@ -520,6 +520,17 @@ make_setting_routes!(
camelcase_attr: "chat",
analytics: ChatAnalytics
},
{
route: "/vector-store",
update_verb: patch,
value_type: meilisearch_types::milli::vector::VectorStoreBackend,
err_type: meilisearch_types::deserr::DeserrJsonError<
meilisearch_types::error::deserr_codes::InvalidSettingsVectorStore,
>,
attr: vector_store,
camelcase_attr: "vectorStore",
analytics: VectorStoreAnalytics
},
);
#[utoipa::path(
@@ -610,6 +621,7 @@ pub async fn update_all(
facet_search: FacetSearchAnalytics::new(new_settings.facet_search.as_ref().set()),
prefix_search: PrefixSearchAnalytics::new(new_settings.prefix_search.as_ref().set()),
chat: ChatAnalytics::new(new_settings.chat.as_ref().set()),
vector_store: VectorStoreAnalytics::new(new_settings.vector_store.as_ref().set()),
},
&req,
);
@@ -665,10 +677,17 @@ pub async fn get_all(
let index = index_scheduler.index(&index_uid)?;
let rtxn = index.read_txn()?;
let mut new_settings = settings(&index, &rtxn, SecretPolicy::HideSecrets)?;
if index_scheduler.features().check_chat_completions("showing index `chat` settings").is_err() {
let features = index_scheduler.features();
if features.check_chat_completions("showing index `chat` settings").is_err() {
new_settings.chat = Setting::NotSet;
}
if features.check_vector_store_setting("showing index `vectorStore` settings").is_err() {
new_settings.vector_store = Setting::NotSet;
}
debug!(returns = ?new_settings, "Get all settings");
Ok(HttpResponse::Ok().json(new_settings))
}
@@ -770,5 +789,9 @@ fn validate_settings(
features.check_chat_completions("setting `chat` in the index settings")?;
}
if let Setting::Set(_) = &settings.vector_store {
features.check_vector_store_setting("setting `vectorStore` in the index settings")?;
}
Ok(settings.validate()?)
}

View File

@@ -8,6 +8,7 @@ use std::collections::{BTreeMap, BTreeSet, HashSet};
use meilisearch_types::facet_values_sort::FacetValuesSort;
use meilisearch_types::locales::{Locale, LocalizedAttributesRuleView};
use meilisearch_types::milli::update::Setting;
use meilisearch_types::milli::vector::VectorStoreBackend;
use meilisearch_types::milli::FilterableAttributesRule;
use meilisearch_types::settings::{
ChatSettings, FacetingSettings, PaginationSettings, PrefixSearchSettings,
@@ -40,6 +41,7 @@ pub struct SettingsAnalytics {
pub facet_search: FacetSearchAnalytics,
pub prefix_search: PrefixSearchAnalytics,
pub chat: ChatAnalytics,
pub vector_store: VectorStoreAnalytics,
}
impl Aggregate for SettingsAnalytics {
@@ -200,6 +202,10 @@ impl Aggregate for SettingsAnalytics {
value: new.prefix_search.value.or(self.prefix_search.value),
},
chat: ChatAnalytics { set: new.chat.set | self.chat.set },
vector_store: VectorStoreAnalytics {
set: new.vector_store.set | self.vector_store.set,
value: new.vector_store.value.or(self.vector_store.value),
},
})
}
@@ -693,3 +699,19 @@ impl ChatAnalytics {
SettingsAnalytics { chat: self, ..Default::default() }
}
}
#[derive(Serialize, Default)]
pub struct VectorStoreAnalytics {
pub set: bool,
pub value: Option<VectorStoreBackend>,
}
impl VectorStoreAnalytics {
pub fn new(settings: Option<&VectorStoreBackend>) -> Self {
Self { set: settings.is_some(), value: settings.copied() }
}
pub fn into_settings(self) -> SettingsAnalytics {
SettingsAnalytics { vector_store: self, ..Default::default() }
}
}

View File

@@ -227,7 +227,7 @@ async fn similar(
let (embedder_name, embedder, quantized) = SearchKind::embedder(
&index_scheduler,
index_uid.to_string(),
index_uid.as_str(),
&index,
&query.embedder,
None,

View File

@@ -180,12 +180,6 @@ pub async fn get_metrics(
let response = String::from_utf8(buffer).expect("Failed to convert bytes to string");
// We cannot specify the version with ContentType(TEXT_PLAIN_UTF_8) so we have to write everything by hand :(
// see the following for what should be returned: https://prometheus.io/docs/instrumenting/content_negotiation/#content-type-response
let content_type = ("content-type", "text/plain; version=0.0.4; charset=utf-8");
Ok(HttpResponse::Ok()
// .insert_header(header::ContentType(mime::TEXT_PLAIN_UTF_8))
.insert_header(content_type)
.body(response))
let content_type = ("content-type", prometheus::TEXT_FORMAT);
Ok(HttpResponse::Ok().insert_header(content_type).body(response))
}

View File

@@ -39,7 +39,6 @@ use crate::routes::features::RuntimeTogglableFeatures;
use crate::routes::indexes::documents::{DocumentDeletionByFilter, DocumentEditionByFunction};
use crate::routes::indexes::IndexView;
use crate::routes::multi_search::SearchResults;
use crate::routes::network::{Network, Remote};
use crate::routes::swap_indexes::SwapIndexesPayload;
use crate::routes::webhooks::{WebhookResults, WebhookSettings, WebhookWithMetadata};
use crate::search::{
@@ -102,7 +101,7 @@ mod webhooks;
url = "/",
description = "Local server",
)),
components(schemas(PaginationView<KeyView>, PaginationView<IndexView>, IndexView, DocumentDeletionByFilter, AllBatches, BatchStats, ProgressStepView, ProgressView, BatchView, RuntimeTogglableFeatures, SwapIndexesPayload, DocumentEditionByFunction, MergeFacets, FederationOptions, SearchQueryWithIndex, Federation, FederatedSearch, FederatedSearchResult, SearchResults, SearchResultWithIndex, SimilarQuery, SimilarResult, PaginationView<serde_json::Value>, BrowseQuery, UpdateIndexRequest, IndexUid, IndexCreateRequest, KeyView, Action, CreateApiKey, UpdateStderrLogs, LogMode, GetLogs, IndexStats, Stats, HealthStatus, HealthResponse, VersionResponse, Code, ErrorType, AllTasks, TaskView, Status, DetailsView, ResponseError, Settings<Unchecked>, Settings<Checked>, TypoSettings, MinWordSizeTyposSetting, FacetingSettings, PaginationSettings, SummarizedTaskView, Kind, Network, Remote, FilterableAttributesRule, FilterableAttributesPatterns, AttributePatterns, FilterableAttributesFeatures, FilterFeatures, Export, WebhookSettings, WebhookResults, WebhookWithMetadata))
components(schemas(PaginationView<KeyView>, PaginationView<IndexView>, IndexView, DocumentDeletionByFilter, AllBatches, BatchStats, ProgressStepView, ProgressView, BatchView, RuntimeTogglableFeatures, SwapIndexesPayload, DocumentEditionByFunction, MergeFacets, FederationOptions, SearchQueryWithIndex, Federation, FederatedSearch, FederatedSearchResult, SearchResults, SearchResultWithIndex, SimilarQuery, SimilarResult, PaginationView<serde_json::Value>, BrowseQuery, UpdateIndexRequest, IndexUid, IndexCreateRequest, KeyView, Action, CreateApiKey, UpdateStderrLogs, LogMode, GetLogs, IndexStats, Stats, HealthStatus, HealthResponse, VersionResponse, Code, ErrorType, AllTasks, TaskView, Status, DetailsView, ResponseError, Settings<Unchecked>, Settings<Checked>, TypoSettings, MinWordSizeTyposSetting, FacetingSettings, PaginationSettings, SummarizedTaskView, Kind, meilisearch_types::enterprise_edition::network::Network, meilisearch_types::enterprise_edition::network::Remote, FilterableAttributesRule, FilterableAttributesPatterns, AttributePatterns, FilterableAttributesFeatures, FilterFeatures, Export, WebhookSettings, WebhookResults, WebhookWithMetadata, meilisearch_types::milli::vector::VectorStoreBackend))
)]
pub struct MeilisearchApi;

View File

@@ -239,26 +239,23 @@ pub async fn multi_search_with_post(
})
.with_index(query_index)?;
let index_uid_str = index_uid.to_string();
let search_kind = search_kind(
&query,
index_scheduler.get_ref(),
index_uid_str.clone(),
&index,
)
let search_kind =
search_kind(&query, index_scheduler.get_ref(), &index_uid, &index)
.with_index(query_index)?;
let retrieve_vector = RetrieveVectors::new(query.retrieve_vectors);
let search_result = tokio::task::spawn_blocking(move || {
let search_result = tokio::task::spawn_blocking({
let index_uid = index_uid.clone();
move || {
perform_search(
index_uid_str.clone(),
&index_uid,
&index,
query,
search_kind,
retrieve_vector,
features,
)
}
})
.await
.with_index(query_index)?;

View File

@@ -1,28 +1,21 @@
use std::collections::BTreeMap;
use actix_web::web::{self, Data};
use actix_web::{HttpRequest, HttpResponse};
use deserr::actix_web::AwebJson;
use deserr::Deserr;
use index_scheduler::IndexScheduler;
use itertools::{EitherOrBoth, Itertools};
use meilisearch_types::deserr::DeserrJsonError;
use meilisearch_types::enterprise_edition::network::{Network as DbNetwork, Remote as DbRemote};
use meilisearch_types::error::deserr_codes::{
InvalidNetworkRemotes, InvalidNetworkSearchApiKey, InvalidNetworkSelf, InvalidNetworkSharding,
InvalidNetworkUrl, InvalidNetworkWriteApiKey,
};
use meilisearch_types::enterprise_edition::network::{Network, Remote};
use meilisearch_types::error::ResponseError;
use meilisearch_types::keys::actions;
use meilisearch_types::milli::update::Setting;
use serde::Serialize;
use tracing::debug;
use utoipa::{OpenApi, ToSchema};
use utoipa::OpenApi;
use crate::analytics::{Aggregate, Analytics};
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
use crate::routes::SummarizedTaskView;
#[derive(OpenApi)]
#[openapi(
@@ -31,7 +24,7 @@ use crate::extractors::sequential_extractor::SeqHandler;
name = "Network",
description = "The `/network` route allows you to describe the topology of a network of Meilisearch instances.
This route is **synchronous**. This means that no task object will be returned, and any change to the network will be made available immediately.",
This route is **asynchronous**. A task uid will be returned, and any change to the network will be effective after the corresponding task has been processed.",
external_docs(url = "https://www.meilisearch.com/docs/reference/api/network"),
)),
)]
@@ -83,73 +76,6 @@ async fn get_network(
Ok(HttpResponse::Ok().json(network))
}
#[derive(Debug, Deserr, ToSchema, Serialize)]
#[deserr(error = DeserrJsonError<InvalidNetworkRemotes>, rename_all = camelCase, deny_unknown_fields)]
#[serde(rename_all = "camelCase")]
#[schema(rename_all = "camelCase")]
pub struct Remote {
#[schema(value_type = Option<String>, example = json!({
"ms-0": Remote { url: Setting::Set("http://localhost:7700".into()), search_api_key: Setting::Reset, write_api_key: Setting::Reset },
"ms-1": Remote { url: Setting::Set("http://localhost:7701".into()), search_api_key: Setting::Set("foo".into()), write_api_key: Setting::Set("bar".into()) },
"ms-2": Remote { url: Setting::Set("http://localhost:7702".into()), search_api_key: Setting::Set("bar".into()), write_api_key: Setting::Set("foo".into()) },
}))]
#[deserr(default, error = DeserrJsonError<InvalidNetworkUrl>)]
#[serde(default)]
pub url: Setting<String>,
#[schema(value_type = Option<String>, example = json!("XWnBI8QHUc-4IlqbKPLUDuhftNq19mQtjc6JvmivzJU"))]
#[deserr(default, error = DeserrJsonError<InvalidNetworkSearchApiKey>)]
#[serde(default)]
pub search_api_key: Setting<String>,
#[schema(value_type = Option<String>, example = json!("XWnBI8QHUc-4IlqbKPLUDuhftNq19mQtjc6JvmivzJU"))]
#[deserr(default, error = DeserrJsonError<InvalidNetworkWriteApiKey>)]
#[serde(default)]
pub write_api_key: Setting<String>,
}
#[derive(Debug, Deserr, ToSchema, Serialize)]
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
#[serde(rename_all = "camelCase")]
#[schema(rename_all = "camelCase")]
pub struct Network {
#[schema(value_type = Option<BTreeMap<String, Remote>>, example = json!("http://localhost:7700"))]
#[deserr(default, error = DeserrJsonError<InvalidNetworkRemotes>)]
#[serde(default)]
pub remotes: Setting<BTreeMap<String, Option<Remote>>>,
#[schema(value_type = Option<String>, example = json!("ms-00"), rename = "self")]
#[serde(default, rename = "self")]
#[deserr(default, rename = "self", error = DeserrJsonError<InvalidNetworkSelf>)]
pub local: Setting<String>,
#[schema(value_type = Option<bool>, example = json!(true))]
#[serde(default)]
#[deserr(default, error = DeserrJsonError<InvalidNetworkSharding>)]
pub sharding: Setting<bool>,
}
impl Remote {
pub fn try_into_db_node(self, name: &str) -> Result<DbRemote, ResponseError> {
Ok(DbRemote {
url: self
.url
.set()
.ok_or(ResponseError::from_msg(
format!("Missing field `.remotes.{name}.url`"),
meilisearch_types::error::Code::MissingNetworkUrl,
))
.and_then(|url| {
if let Err(error) = url::Url::parse(&url) {
return Err(ResponseError::from_msg(
format!("Invalid `.remotes.{name}.url` (`{url}`): {error}"),
meilisearch_types::error::Code::InvalidNetworkUrl,
));
}
Ok(url)
})?,
search_api_key: self.search_api_key.set(),
write_api_key: self.write_api_key.set(),
})
}
}
#[derive(Serialize)]
pub struct PatchNetworkAnalytics {
network_size: usize,
@@ -208,111 +134,58 @@ async fn patch_network(
index_scheduler.features().check_network("Using the /network route")?;
let new_network = new_network.0;
let old_network = index_scheduler.network();
debug!(parameters = ?new_network, "Patch network");
let merged_self = match new_network.local {
Setting::Set(new_self) => Some(new_self),
Setting::Reset => None,
Setting::NotSet => old_network.local,
// check the URLs of all remotes
if let Setting::Set(remotes) = &new_network.remotes {
for (remote_name, remote) in remotes.iter() {
let Some(remote) = remote else {
continue;
};
let merged_sharding = match new_network.sharding {
Setting::Set(new_sharding) => new_sharding,
Setting::Reset => false,
Setting::NotSet => old_network.sharding,
};
if merged_sharding && merged_self.is_none() {
return Err(ResponseError::from_msg(
"`.sharding`: enabling the sharding requires `.self` to be set\n - Hint: Disable `sharding` or set `self` to a value.".into(),
meilisearch_types::error::Code::InvalidNetworkSharding,
));
}
let merged_remotes = match new_network.remotes {
Setting::Set(new_remotes) => {
let mut merged_remotes = BTreeMap::new();
for either_or_both in old_network
.remotes
.into_iter()
.merge_join_by(new_remotes.into_iter(), |left, right| left.0.cmp(&right.0))
{
match either_or_both {
EitherOrBoth::Both((key, old), (_, Some(new))) => {
let DbRemote {
url: old_url,
search_api_key: old_search_api_key,
write_api_key: old_write_api_key,
} = old;
let Remote {
url: new_url,
search_api_key: new_search_api_key,
write_api_key: new_write_api_key,
} = new;
let merged = DbRemote {
url: match new_url {
match &remote.url {
Setting::Set(new_url) => {
if let Err(error) = url::Url::parse(&new_url) {
return Err(ResponseError::from_msg(
format!("Invalid `.remotes.{key}.url` (`{new_url}`): {error}"),
format!("Invalid `.remotes.{remote_name}.url` (`{new_url}`): {error}"),
meilisearch_types::error::Code::InvalidNetworkUrl,
));
}
new_url
}
Setting::Reset => {
return Err(ResponseError::from_msg(
format!(
"Field `.remotes.{key}.url` cannot be set to `null`"
),
format!("Field `.remotes.{remote_name}.url` cannot be set to `null`"),
meilisearch_types::error::Code::InvalidNetworkUrl,
))
}
Setting::NotSet => old_url,
},
search_api_key: match new_search_api_key {
Setting::Set(new_search_api_key) => Some(new_search_api_key),
Setting::Reset => None,
Setting::NotSet => old_search_api_key,
},
write_api_key: match new_write_api_key {
Setting::Set(new_write_api_key) => Some(new_write_api_key),
Setting::Reset => None,
Setting::NotSet => old_write_api_key,
},
};
merged_remotes.insert(key, merged);
}
EitherOrBoth::Both((_, _), (_, None)) | EitherOrBoth::Right((_, None)) => {}
EitherOrBoth::Left((key, node)) => {
merged_remotes.insert(key, node);
}
EitherOrBoth::Right((key, Some(node))) => {
let node = node.try_into_db_node(&key)?;
merged_remotes.insert(key, node);
Setting::NotSet => (),
}
}
}
merged_remotes
}
Setting::Reset => BTreeMap::new(),
Setting::NotSet => old_network.remotes,
};
analytics.publish(
PatchNetworkAnalytics {
network_size: merged_remotes.len(),
network_has_self: merged_self.is_some(),
network_size: new_network
.remotes
.as_ref()
.set()
.map(|remotes| remotes.len())
.unwrap_or_default(),
network_has_self: new_network.local.as_ref().set().is_some(),
},
&req,
);
let merged_network =
DbNetwork { local: merged_self, remotes: merged_remotes, sharding: merged_sharding };
index_scheduler.put_network(merged_network.clone())?;
debug!(returns = ?merged_network, "Patch network");
Ok(HttpResponse::Ok().json(merged_network))
let task = index_scheduler.register(
meilisearch_types::tasks::KindWithContent::NetworkTopologyChange {
network: Some(new_network),
origin: None,
},
None,
false,
)?;
debug!(returns = ?task, "Patch network");
let task: SummarizedTaskView = task.into();
return Ok(HttpResponse::Accepted().json(task));
}

View File

@@ -226,14 +226,14 @@ mod tests {
{
let params = "types=createIndex";
let err = deserr_query_params::<TaskDeletionOrCancelationQuery>(params).unwrap_err();
snapshot!(meili_snap::json_string!(err), @r#"
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`, `export`, `upgradeDatabase`.",
"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`, `export`, `upgradeDatabase`, `networkTopologyChange`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
}
"#);
"###);
}
}
#[test]

View File

@@ -1,3 +1,4 @@
use core::convert::Infallible;
use std::collections::BTreeMap;
use std::str::FromStr;
@@ -7,7 +8,6 @@ use actix_http::header::{
};
use actix_web::web::{self, Data, Path};
use actix_web::{HttpRequest, HttpResponse};
use core::convert::Infallible;
use deserr::actix_web::AwebJson;
use deserr::{DeserializeError, Deserr, ValuePointerRef};
use index_scheduler::IndexScheduler;
@@ -24,12 +24,12 @@ use tracing::debug;
use url::Url;
use utoipa::{OpenApi, ToSchema};
use uuid::Uuid;
use WebhooksError::*;
use crate::analytics::{Aggregate, Analytics};
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::GuardedData;
use crate::extractors::sequential_extractor::SeqHandler;
use WebhooksError::*;
#[derive(OpenApi)]
#[openapi(

View File

@@ -9,7 +9,7 @@ use std::vec::{IntoIter, Vec};
use actix_http::StatusCode;
use index_scheduler::{IndexScheduler, RoFeatures};
use itertools::Itertools;
use meilisearch_types::enterprise_edition::network::{Network, Remote};
use meilisearch_types::enterprise_edition::network::{DbNetwork, DbRemote};
use meilisearch_types::error::ResponseError;
use meilisearch_types::milli::order_by_map::OrderByMap;
use meilisearch_types::milli::score_details::{ScoreDetails, WeightedScoreValue};
@@ -219,7 +219,7 @@ struct SearchResultByQueryIterItem<'a> {
fn merge_index_local_results(
results_by_query: Vec<SearchResultByQuery<'_>>,
) -> impl Iterator<Item = SearchResultByQueryIterItem> + '_ {
) -> impl Iterator<Item = SearchResultByQueryIterItem<'_>> + '_ {
itertools::kmerge_by(
results_by_query.into_iter().map(SearchResultByQueryIter::new),
|left: &SearchResultByQueryIterItem, right: &SearchResultByQueryIterItem| {
@@ -456,7 +456,7 @@ fn merge_metadata(
}
type LocalQueriesByIndex = BTreeMap<String, Vec<QueryByIndex>>;
type RemoteQueriesByHost = BTreeMap<String, (Remote, Vec<SearchQueryWithIndex>)>;
type RemoteQueriesByHost = BTreeMap<String, (DbRemote, Vec<SearchQueryWithIndex>)>;
struct PartitionedQueries {
local_queries_by_index: LocalQueriesByIndex,
@@ -477,7 +477,7 @@ impl PartitionedQueries {
&mut self,
federated_query: SearchQueryWithIndex,
query_index: usize,
network: &Network,
network: &DbNetwork,
features: RoFeatures,
) -> Result<(), ResponseError> {
if let Some(pagination_field) = federated_query.has_pagination() {
@@ -672,7 +672,7 @@ struct SearchByIndexParams<'a> {
features: RoFeatures,
is_proxy: bool,
has_remote: bool,
network: &'a Network,
network: &'a DbNetwork,
}
struct SearchByIndex {
@@ -755,8 +755,7 @@ impl SearchByIndex {
// use an immediately invoked lambda to capture the result without returning from the function
let res: Result<(), ResponseError> = (|| {
let search_kind =
search_kind(&query, params.index_scheduler, index_uid.to_string(), &index)?;
let search_kind = search_kind(&query, params.index_scheduler, &index_uid, &index)?;
let canonicalization_kind = match (&search_kind, &query.q) {
(SearchKind::SemanticOnly { .. }, _) => {
@@ -806,11 +805,11 @@ impl SearchByIndex {
{
Some((previous_ranking_rules, previous_query_index, previous_index_uid))
} else {
Some((ranking_rules, query_index, index_uid.clone()))
Some((ranking_rules, query_index, index_uid.to_string()))
};
} else {
self.previous_query_data =
Some((ranking_rules, query_index, index_uid.clone()));
Some((ranking_rules, query_index, index_uid.to_string()));
}
match search_kind {
@@ -839,7 +838,7 @@ impl SearchByIndex {
search.limit(params.required_hit_count);
let (result, _semantic_hit_count) =
super::super::search_from_kind(index_uid.to_string(), search_kind, search)?;
super::super::search_from_kind(&index_uid, search_kind, search)?;
let format = AttributesFormat {
attributes_to_retrieve: query.attributes_to_retrieve,
retrieve_vectors,

View File

@@ -1,6 +1,6 @@
pub use error::ProxySearchError;
use error::ReqwestErrorWithoutUrl;
use meilisearch_types::enterprise_edition::network::Remote;
use meilisearch_types::enterprise_edition::network::DbRemote;
use rand::Rng as _;
use reqwest::{Client, Response, StatusCode};
use serde::de::DeserializeOwned;
@@ -94,7 +94,7 @@ pub struct ProxySearchParams {
/// Performs a federated search on a remote host and returns the results
pub async fn proxy_search(
node: &Remote,
node: &DbRemote,
queries: Vec<SearchQueryWithIndex>,
federation: Federation,
params: &ProxySearchParams,

View File

@@ -362,7 +362,7 @@ pub enum SearchKind {
impl SearchKind {
pub(crate) fn semantic(
index_scheduler: &index_scheduler::IndexScheduler,
index_uid: String,
index_uid: &str,
index: &Index,
embedder_name: &str,
vector_len: Option<usize>,
@@ -380,7 +380,7 @@ impl SearchKind {
pub(crate) fn hybrid(
index_scheduler: &index_scheduler::IndexScheduler,
index_uid: String,
index_uid: &str,
index: &Index,
embedder_name: &str,
semantic_ratio: f32,
@@ -399,7 +399,7 @@ impl SearchKind {
pub(crate) fn embedder(
index_scheduler: &index_scheduler::IndexScheduler,
index_uid: String,
index_uid: &str,
index: &Index,
embedder_name: &str,
vector_len: Option<usize>,
@@ -1114,7 +1114,7 @@ pub fn prepare_search<'t>(
}
pub fn perform_search(
index_uid: String,
index_uid: &str,
index: &Index,
query: SearchQuery,
search_kind: SearchKind,
@@ -1299,27 +1299,24 @@ fn compute_facet_distribution_stats<S: AsRef<str>>(
}
pub fn search_from_kind(
index_uid: String,
index_uid: &str,
search_kind: SearchKind,
search: milli::Search<'_>,
) -> Result<(milli::SearchResult, Option<u32>), MeilisearchHttpError> {
let err = |e| MeilisearchHttpError::from_milli(e, Some(index_uid.to_string()));
let (milli_result, semantic_hit_count) = match &search_kind {
SearchKind::KeywordOnly => {
let results = search
.execute()
.map_err(|e| MeilisearchHttpError::from_milli(e, Some(index_uid.to_string())))?;
let results = search.execute().map_err(err)?;
(results, None)
}
SearchKind::SemanticOnly { .. } => {
let results = search
.execute()
.map_err(|e| MeilisearchHttpError::from_milli(e, Some(index_uid.to_string())))?;
let results = search.execute().map_err(err)?;
let semantic_hit_count = results.document_scores.len() as u32;
(results, Some(semantic_hit_count))
}
SearchKind::Hybrid { semantic_ratio, .. } => search
.execute_hybrid(*semantic_ratio)
.map_err(|e| MeilisearchHttpError::from_milli(e, Some(index_uid)))?,
SearchKind::Hybrid { semantic_ratio, .. } => {
search.execute_hybrid(*semantic_ratio).map_err(err)?
}
};
Ok((milli_result, semantic_hit_count))
}
@@ -2080,7 +2077,7 @@ pub(crate) fn parse_filter(
facets: &Value,
filter_parsing_error_code: Code,
features: RoFeatures,
) -> Result<Option<Filter>, ResponseError> {
) -> Result<Option<Filter<'_>>, ResponseError> {
let filter = match facets {
Value::String(expr) => Filter::from_str(expr).map_err(|e| e.into()),
Value::Array(arr) => parse_filter_array(arr).map_err(|e| e.into()),
@@ -2117,7 +2114,7 @@ pub(crate) fn parse_filter(
Ok(filter)
}
fn parse_filter_array(arr: &[Value]) -> Result<Option<Filter>, MeilisearchHttpError> {
fn parse_filter_array(arr: &'_ [Value]) -> Result<Option<Filter<'_>>, MeilisearchHttpError> {
let mut ands = Vec::new();
for value in arr {
match value {

View File

@@ -1040,7 +1040,7 @@ async fn error_single_search_forbidden_token() {
];
let failed_query_indexes: Vec<_> =
std::iter::repeat(Some(0)).take(5).chain(std::iter::repeat(None).take(6)).collect();
std::iter::repeat_n(Some(0), 5).chain(std::iter::repeat_n(None, 6)).collect();
let failed_query_indexes = vec![failed_query_indexes; ACCEPTED_KEYS_SINGLE.len()];
@@ -1118,10 +1118,9 @@ async fn error_multi_search_forbidden_token() {
},
];
let failed_query_indexes: Vec<_> = std::iter::repeat(Some(0))
.take(5)
.chain(std::iter::repeat(Some(1)).take(5))
.chain(std::iter::repeat(None).take(6))
let failed_query_indexes: Vec<_> = std::iter::repeat_n(Some(0), 5)
.chain(std::iter::repeat_n(Some(1), 5))
.chain(std::iter::repeat_n(None, 6))
.collect();
let failed_query_indexes = vec![failed_query_indexes; ACCEPTED_KEYS_BOTH.len()];

View File

@@ -40,14 +40,14 @@ async fn batch_bad_types() {
let (response, code) = server.batches_filter("types=doggo").await;
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
snapshot!(json_string!(response), @r###"
{
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `export`, `upgradeDatabase`.",
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `export`, `upgradeDatabase`, `networkTopologyChange`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
}
"#);
"###);
}
#[actix_rt::test]

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