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1 Commits

Author SHA1 Message Date
Louis Dureuil
4d4ab62e42 Fail upgrade for indexes starting with fail-
- take a long time to upgrade for indexes starting with `long-`
2025-06-25 21:51:55 +02:00
271 changed files with 7024 additions and 18137 deletions

View File

@@ -4,22 +4,22 @@ on:
pull_request:
types: [opened, synchronize, reopened, labeled, unlabeled]
env:
GH_TOKEN: ${{ secrets.MEILI_BOT_GH_PAT }}
jobs:
check-labels:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
uses: actions/checkout@v3
- name: Check db change labels
id: check_labels
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
URL=/repos/meilisearch/meilisearch/pulls/${{ github.event.pull_request.number }}/labels
echo ${{ github.event.pull_request.number }}
echo $URL
LABELS=$(gh api -H "Accept: application/vnd.github+json" -H "X-GitHub-Api-Version: 2022-11-28" /repos/${{ github.repository }}/issues/${{ github.event.pull_request.number }}/labels -q .[].name)
echo "Labels: $LABELS"
LABELS=$(gh api -H "Accept: application/vnd.github+json" -H "X-GitHub-Api-Version: 2022-11-28" /repos/meilisearch/meilisearch/issues/${{ github.event.pull_request.number }}/labels -q .[].name)
if [[ ! "$LABELS" =~ "db change" && ! "$LABELS" =~ "no db change" ]]; then
echo "::error::Pull request must contain either the 'db change' or 'no db change' label."
exit 1

View File

@@ -32,7 +32,7 @@ jobs:
- name: Build deb package
run: cargo deb -p meilisearch -o target/debian/meilisearch.deb
- name: Upload debian pkg to release
uses: svenstaro/upload-release-action@2.11.1
uses: svenstaro/upload-release-action@2.7.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/debian/meilisearch.deb

View File

@@ -51,7 +51,7 @@ jobs:
# No need to upload binaries for dry run (cron)
- name: Upload binaries to release
if: github.event_name == 'release'
uses: svenstaro/upload-release-action@2.11.1
uses: svenstaro/upload-release-action@2.7.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/release/meilisearch
@@ -81,7 +81,7 @@ jobs:
# No need to upload binaries for dry run (cron)
- name: Upload binaries to release
if: github.event_name == 'release'
uses: svenstaro/upload-release-action@2.11.1
uses: svenstaro/upload-release-action@2.7.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/release/${{ matrix.artifact_name }}
@@ -113,7 +113,7 @@ jobs:
- name: Upload the binary to release
# No need to upload binaries for dry run (cron)
if: github.event_name == 'release'
uses: svenstaro/upload-release-action@2.11.1
uses: svenstaro/upload-release-action@2.7.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/${{ matrix.target }}/release/meilisearch
@@ -178,7 +178,7 @@ jobs:
- name: Upload the binary to release
# No need to upload binaries for dry run (cron)
if: github.event_name == 'release'
uses: svenstaro/upload-release-action@2.11.1
uses: svenstaro/upload-release-action@2.7.0
with:
repo_token: ${{ secrets.MEILI_BOT_GH_PAT }}
file: target/${{ matrix.target }}/release/meilisearch

View File

@@ -29,7 +29,7 @@ jobs:
- name: Setup test with Rust stable
uses: dtolnay/rust-toolchain@1.85
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.8.0
uses: Swatinem/rust-cache@v2.7.8
- name: Run cargo check without any default features
uses: actions-rs/cargo@v1
with:
@@ -51,7 +51,7 @@ jobs:
steps:
- uses: actions/checkout@v3
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.8.0
uses: Swatinem/rust-cache@v2.7.8
- uses: dtolnay/rust-toolchain@1.85
- name: Run cargo check without any default features
uses: actions-rs/cargo@v1
@@ -155,7 +155,7 @@ jobs:
apt-get install build-essential -y
- uses: dtolnay/rust-toolchain@1.85
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.8.0
uses: Swatinem/rust-cache@v2.7.8
- name: Run tests in debug
uses: actions-rs/cargo@v1
with:
@@ -172,7 +172,7 @@ jobs:
profile: minimal
components: clippy
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.8.0
uses: Swatinem/rust-cache@v2.7.8
- name: Run cargo clippy
uses: actions-rs/cargo@v1
with:
@@ -191,7 +191,7 @@ jobs:
override: true
components: rustfmt
- name: Cache dependencies
uses: Swatinem/rust-cache@v2.8.0
uses: Swatinem/rust-cache@v2.7.8
- name: Run cargo fmt
# Since we never ran the `build.rs` script in the benchmark directory we are missing one auto-generated import file.
# Since we want to trigger (and fail) this action as fast as possible, instead of building the benchmark crate

13
.gitignore vendored
View File

@@ -5,27 +5,18 @@
**/*.json_lines
**/*.rs.bk
/*.mdb
/*.ms
/data.ms
/snapshots
/dumps
/bench
/_xtask_benchmark.ms
/benchmarks
.DS_Store
# Snapshots
## ... large
*.full.snap
## ... unreviewed
## ... unreviewed
*.snap.new
## ... pending
*.pending-snap
# Tmp files
.tmp*
# Database snapshot
crates/meilisearch/db.snapshot
# Fuzzcheck data for the facet indexing fuzz test
crates/milli/fuzz/update::facet::incremental::fuzz::fuzz/

View File

@@ -57,17 +57,9 @@ This command will be triggered to each PR as a requirement for merging it.
You can set the `LINDERA_CACHE` environment variable to speed up your successive builds by up to 2 minutes.
It'll store some built artifacts in the directory of your choice.
We recommend using the `$HOME/.cache/meili/lindera` directory:
We recommend using the standard `$HOME/.cache/lindera` directory:
```sh
export LINDERA_CACHE=$HOME/.cache/meili/lindera
```
You can set the `MILLI_BENCH_DATASETS_PATH` environment variable to further speed up your builds.
It'll store some big files used for the benchmarks in the directory of your choice.
We recommend using the `$HOME/.cache/meili/benches` directory:
```sh
export MILLI_BENCH_DATASETS_PATH=$HOME/.cache/meili/benches
export LINDERA_CACHE=$HOME/.cache/lindera
```
Furthermore, you can improve incremental compilation by setting the `MEILI_NO_VERGEN` environment variable.

671
Cargo.lock generated

File diff suppressed because it is too large Load Diff

View File

@@ -22,7 +22,7 @@ members = [
]
[workspace.package]
version = "1.16.0"
version = "1.15.2"
authors = [
"Quentin de Quelen <quentin@dequelen.me>",
"Clément Renault <clement@meilisearch.com>",

View File

@@ -11,27 +11,27 @@ edition.workspace = true
license.workspace = true
[dependencies]
anyhow = "1.0.98"
bumpalo = "3.18.1"
anyhow = "1.0.95"
bumpalo = "3.16.0"
csv = "1.3.1"
memmap2 = "0.9.7"
memmap2 = "0.9.5"
milli = { path = "../milli" }
mimalloc = { version = "0.1.47", default-features = false }
serde_json = { version = "1.0.140", features = ["preserve_order"] }
tempfile = "3.20.0"
mimalloc = { version = "0.1.43", default-features = false }
serde_json = { version = "1.0.135", features = ["preserve_order"] }
tempfile = "3.15.0"
[dev-dependencies]
criterion = { version = "0.6.0", features = ["html_reports"] }
criterion = { version = "0.5.1", features = ["html_reports"] }
rand = "0.8.5"
rand_chacha = "0.3.1"
roaring = "0.10.12"
roaring = "0.10.10"
[build-dependencies]
anyhow = "1.0.98"
bytes = "1.10.1"
convert_case = "0.8.0"
flate2 = "1.1.2"
reqwest = { version = "0.12.20", features = ["blocking", "rustls-tls"], default-features = false }
anyhow = "1.0.95"
bytes = "1.9.0"
convert_case = "0.6.0"
flate2 = "1.0.35"
reqwest = { version = "0.12.15", features = ["blocking", "rustls-tls"], default-features = false }
[features]
default = ["milli/all-tokenizations"]
@@ -51,7 +51,3 @@ harness = false
[[bench]]
name = "indexing"
harness = false
[[bench]]
name = "sort"
harness = false

View File

@@ -11,7 +11,7 @@ use milli::heed::{EnvOpenOptions, RwTxn};
use milli::progress::Progress;
use milli::update::new::indexer;
use milli::update::{IndexerConfig, Settings};
use milli::vector::RuntimeEmbedders;
use milli::vector::EmbeddingConfigs;
use milli::{FilterableAttributesRule, Index};
use rand::seq::SliceRandom;
use rand_chacha::rand_core::SeedableRng;
@@ -65,7 +65,7 @@ fn setup_settings<'t>(
let sortable_fields = sortable_fields.iter().map(|s| s.to_string()).collect();
builder.set_sortable_fields(sortable_fields);
builder.execute(&|| false, &Progress::default(), Default::default()).unwrap();
builder.execute(|_| (), || false).unwrap();
}
fn setup_index_with_settings(
@@ -166,10 +166,9 @@ fn indexing_songs_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -233,10 +232,9 @@ fn reindexing_songs_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -278,10 +276,9 @@ fn reindexing_songs_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -347,10 +344,9 @@ fn deleting_songs_in_batches_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -424,10 +420,9 @@ fn indexing_songs_in_three_batches_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -469,10 +464,9 @@ fn indexing_songs_in_three_batches_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -510,10 +504,9 @@ fn indexing_songs_in_three_batches_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -578,10 +571,9 @@ fn indexing_songs_without_faceted_numbers(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -645,10 +637,9 @@ fn indexing_songs_without_faceted_fields(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -712,10 +703,9 @@ fn indexing_wiki(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -778,10 +768,9 @@ fn reindexing_wiki(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -823,10 +812,9 @@ fn reindexing_wiki(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -891,10 +879,9 @@ fn deleting_wiki_in_batches_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -968,10 +955,9 @@ fn indexing_wiki_in_three_batches(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1014,10 +1000,9 @@ fn indexing_wiki_in_three_batches(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1056,10 +1041,9 @@ fn indexing_wiki_in_three_batches(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1123,10 +1107,9 @@ fn indexing_movies_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1189,10 +1172,9 @@ fn reindexing_movies_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1234,10 +1216,9 @@ fn reindexing_movies_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1302,10 +1283,9 @@ fn deleting_movies_in_batches_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1351,10 +1331,9 @@ fn delete_documents_from_ids(index: Index, document_ids_to_delete: Vec<RoaringBi
new_fields_ids_map,
Some(primary_key),
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1416,10 +1395,9 @@ fn indexing_movies_in_three_batches(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1461,10 +1439,9 @@ fn indexing_movies_in_three_batches(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1502,10 +1479,9 @@ fn indexing_movies_in_three_batches(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1592,10 +1568,9 @@ fn indexing_nested_movies_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1683,10 +1658,9 @@ fn deleting_nested_movies_in_batches_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1766,10 +1740,9 @@ fn indexing_nested_movies_without_faceted_fields(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1833,10 +1806,9 @@ fn indexing_geo(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1899,10 +1871,9 @@ fn reindexing_geo(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -1944,10 +1915,9 @@ fn reindexing_geo(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -2012,10 +1982,9 @@ fn deleting_geo_in_batches_default(c: &mut Criterion) {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();

View File

@@ -1,114 +0,0 @@
//! This benchmark module is used to compare the performance of sorting documents in /search VS /documents
//!
//! The tests/benchmarks were designed in the context of a query returning only 20 documents.
mod datasets_paths;
mod utils;
use criterion::{criterion_group, criterion_main};
use milli::update::Settings;
use utils::Conf;
#[cfg(not(windows))]
#[global_allocator]
static ALLOC: mimalloc::MiMalloc = mimalloc::MiMalloc;
fn base_conf(builder: &mut Settings) {
let displayed_fields =
["geonameid", "name", "asciiname", "alternatenames", "_geo", "population"]
.iter()
.map(|s| s.to_string())
.collect();
builder.set_displayed_fields(displayed_fields);
let sortable_fields =
["_geo", "name", "population", "elevation", "timezone", "modification-date"]
.iter()
.map(|s| s.to_string())
.collect();
builder.set_sortable_fields(sortable_fields);
}
#[rustfmt::skip]
const BASE_CONF: Conf = Conf {
dataset: datasets_paths::SMOL_ALL_COUNTRIES,
dataset_format: "jsonl",
configure: base_conf,
primary_key: Some("geonameid"),
queries: &[""],
offsets: &[
Some((0, 20)), // The most common query in the real world
Some((0, 500)), // A query that ranges over many documents
Some((980, 20)), // The worst query that could happen in the real world
Some((800_000, 20)) // The worst query
],
get_documents: true,
..Conf::BASE
};
fn bench_sort(c: &mut criterion::Criterion) {
#[rustfmt::skip]
let confs = &[
utils::Conf {
group_name: "without sort",
sort: None,
..BASE_CONF
},
utils::Conf {
group_name: "sort on many different values",
sort: Some(vec!["name:asc"]),
..BASE_CONF
},
utils::Conf {
group_name: "sort on many similar values",
sort: Some(vec!["timezone:desc"]),
..BASE_CONF
},
utils::Conf {
group_name: "sort on many similar then different values",
sort: Some(vec!["timezone:desc", "name:asc"]),
..BASE_CONF
},
utils::Conf {
group_name: "sort on many different then similar values",
sort: Some(vec!["timezone:desc", "name:asc"]),
..BASE_CONF
},
utils::Conf {
group_name: "geo sort",
sample_size: Some(10),
sort: Some(vec!["_geoPoint(45.4777599, 9.1967508):asc"]),
..BASE_CONF
},
utils::Conf {
group_name: "sort on many similar values then geo sort",
sample_size: Some(50),
sort: Some(vec!["timezone:desc", "_geoPoint(45.4777599, 9.1967508):asc"]),
..BASE_CONF
},
utils::Conf {
group_name: "sort on many different values then geo sort",
sample_size: Some(50),
sort: Some(vec!["name:desc", "_geoPoint(45.4777599, 9.1967508):asc"]),
..BASE_CONF
},
utils::Conf {
group_name: "sort on many fields",
sort: Some(vec!["population:asc", "name:asc", "elevation:asc", "timezone:asc"]),
..BASE_CONF
},
];
utils::run_benches(c, confs);
}
criterion_group!(benches, bench_sort);
criterion_main!(benches);

View File

@@ -9,12 +9,11 @@ use anyhow::Context;
use bumpalo::Bump;
use criterion::BenchmarkId;
use memmap2::Mmap;
use milli::documents::sort::recursive_sort;
use milli::heed::EnvOpenOptions;
use milli::progress::Progress;
use milli::update::new::indexer;
use milli::update::{IndexerConfig, Settings};
use milli::vector::RuntimeEmbedders;
use milli::vector::EmbeddingConfigs;
use milli::{Criterion, Filter, Index, Object, TermsMatchingStrategy};
use serde_json::Value;
@@ -36,12 +35,6 @@ pub struct Conf<'a> {
pub configure: fn(&mut Settings),
pub filter: Option<&'a str>,
pub sort: Option<Vec<&'a str>>,
/// set to skip documents (offset, limit)
pub offsets: &'a [Option<(usize, usize)>],
/// enable if you want to bench getting documents without querying
pub get_documents: bool,
/// configure the benchmark sample size
pub sample_size: Option<usize>,
/// enable or disable the optional words on the query
pub optional_words: bool,
/// primary key, if there is None we'll auto-generate docids for every documents
@@ -59,9 +52,6 @@ impl Conf<'_> {
configure: |_| (),
filter: None,
sort: None,
offsets: &[None],
get_documents: false,
sample_size: None,
optional_words: true,
primary_key: None,
};
@@ -100,7 +90,7 @@ pub fn base_setup(conf: &Conf) -> Index {
(conf.configure)(&mut builder);
builder.execute(&|| false, &Progress::default(), Default::default()).unwrap();
builder.execute(|_| (), || false).unwrap();
wtxn.commit().unwrap();
let config = IndexerConfig::default();
@@ -135,10 +125,9 @@ pub fn base_setup(conf: &Conf) -> Index {
new_fields_ids_map,
primary_key,
&document_changes,
RuntimeEmbedders::default(),
EmbeddingConfigs::default(),
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();
@@ -155,79 +144,25 @@ pub fn run_benches(c: &mut criterion::Criterion, confs: &[Conf]) {
let file_name = Path::new(conf.dataset).file_name().and_then(|f| f.to_str()).unwrap();
let name = format!("{}: {}", file_name, conf.group_name);
let mut group = c.benchmark_group(&name);
if let Some(sample_size) = conf.sample_size {
group.sample_size(sample_size);
}
for &query in conf.queries {
for offset in conf.offsets {
let parameter = match offset {
None => query.to_string(),
Some((offset, limit)) => format!("{query}[{offset}:{limit}]"),
};
group.bench_with_input(
BenchmarkId::from_parameter(parameter),
&query,
|b, &query| {
b.iter(|| {
let rtxn = index.read_txn().unwrap();
let mut search = index.search(&rtxn);
search
.query(query)
.terms_matching_strategy(TermsMatchingStrategy::default());
if let Some(filter) = conf.filter {
let filter = Filter::from_str(filter).unwrap().unwrap();
search.filter(filter);
}
if let Some(sort) = &conf.sort {
let sort = sort.iter().map(|sort| sort.parse().unwrap()).collect();
search.sort_criteria(sort);
}
if let Some((offset, limit)) = offset {
search.offset(*offset).limit(*limit);
}
let _ids = search.execute().unwrap();
});
},
);
}
}
if conf.get_documents {
for offset in conf.offsets {
let parameter = match offset {
None => String::from("get_documents"),
Some((offset, limit)) => format!("get_documents[{offset}:{limit}]"),
};
group.bench_with_input(BenchmarkId::from_parameter(parameter), &(), |b, &()| {
b.iter(|| {
let rtxn = index.read_txn().unwrap();
if let Some(sort) = &conf.sort {
let sort = sort.iter().map(|sort| sort.parse().unwrap()).collect();
let all_docs = index.documents_ids(&rtxn).unwrap();
let facet_sort =
recursive_sort(&index, &rtxn, sort, &all_docs).unwrap();
let iter = facet_sort.iter().unwrap();
if let Some((offset, limit)) = offset {
let _results = iter.skip(*offset).take(*limit).collect::<Vec<_>>();
} else {
let _results = iter.collect::<Vec<_>>();
}
} else {
let all_docs = index.documents_ids(&rtxn).unwrap();
if let Some((offset, limit)) = offset {
let _results =
all_docs.iter().skip(*offset).take(*limit).collect::<Vec<_>>();
} else {
let _results = all_docs.iter().collect::<Vec<_>>();
}
}
});
group.bench_with_input(BenchmarkId::from_parameter(query), &query, |b, &query| {
b.iter(|| {
let rtxn = index.read_txn().unwrap();
let mut search = index.search(&rtxn);
search.query(query).terms_matching_strategy(TermsMatchingStrategy::default());
if let Some(filter) = conf.filter {
let filter = Filter::from_str(filter).unwrap().unwrap();
search.filter(filter);
}
if let Some(sort) = &conf.sort {
let sort = sort.iter().map(|sort| sort.parse().unwrap()).collect();
search.sort_criteria(sort);
}
let _ids = search.execute().unwrap();
});
}
});
}
group.finish();
index.prepare_for_closing().wait();

View File

@@ -67,7 +67,7 @@ fn main() -> anyhow::Result<()> {
writeln!(
&mut manifest_paths_file,
r#"pub const {}: &str = {:?};"#,
dataset.to_case(Case::UpperSnake),
dataset.to_case(Case::ScreamingSnake),
out_file.display(),
)?;

View File

@@ -11,8 +11,8 @@ license.workspace = true
# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
[dependencies]
time = { version = "0.3.41", features = ["parsing"] }
time = { version = "0.3.37", features = ["parsing"] }
[build-dependencies]
anyhow = "1.0.98"
vergen-git2 = "1.0.7"
anyhow = "1.0.95"
vergen-git2 = "1.0.2"

View File

@@ -11,21 +11,21 @@ readme.workspace = true
license.workspace = true
[dependencies]
anyhow = "1.0.98"
flate2 = "1.1.2"
http = "1.3.1"
anyhow = "1.0.95"
flate2 = "1.0.35"
http = "1.2.0"
meilisearch-types = { path = "../meilisearch-types" }
once_cell = "1.21.3"
once_cell = "1.20.2"
regex = "1.11.1"
roaring = { version = "0.10.12", features = ["serde"] }
serde = { version = "1.0.219", features = ["derive"] }
serde_json = { version = "1.0.140", features = ["preserve_order"] }
tar = "0.4.44"
tempfile = "3.20.0"
thiserror = "2.0.12"
time = { version = "0.3.41", features = ["serde-well-known", "formatting", "parsing", "macros"] }
roaring = { version = "0.10.10", features = ["serde"] }
serde = { version = "1.0.217", features = ["derive"] }
serde_json = { version = "1.0.135", features = ["preserve_order"] }
tar = "0.4.43"
tempfile = "3.15.0"
thiserror = "2.0.9"
time = { version = "0.3.37", features = ["serde-well-known", "formatting", "parsing", "macros"] }
tracing = "0.1.41"
uuid = { version = "1.17.0", features = ["serde", "v4"] }
uuid = { version = "1.11.0", features = ["serde", "v4"] }
[dev-dependencies]
big_s = "1.0.2"

View File

@@ -1,17 +1,12 @@
#![allow(clippy::type_complexity)]
#![allow(clippy::wrong_self_convention)]
use std::collections::BTreeMap;
use meilisearch_types::batches::BatchId;
use meilisearch_types::byte_unit::Byte;
use meilisearch_types::error::ResponseError;
use meilisearch_types::keys::Key;
use meilisearch_types::milli::update::IndexDocumentsMethod;
use meilisearch_types::settings::Unchecked;
use meilisearch_types::tasks::{
Details, ExportIndexSettings, IndexSwap, KindWithContent, Status, Task, TaskId,
};
use meilisearch_types::tasks::{Details, IndexSwap, KindWithContent, Status, Task, TaskId};
use meilisearch_types::InstanceUid;
use roaring::RoaringBitmap;
use serde::{Deserialize, Serialize};
@@ -146,12 +141,6 @@ pub enum KindDump {
instance_uid: Option<InstanceUid>,
},
SnapshotCreation,
Export {
url: String,
api_key: Option<String>,
payload_size: Option<Byte>,
indexes: BTreeMap<String, ExportIndexSettings>,
},
UpgradeDatabase {
from: (u32, u32, u32),
},
@@ -224,15 +213,6 @@ impl From<KindWithContent> for KindDump {
KindDump::DumpCreation { keys, instance_uid }
}
KindWithContent::SnapshotCreation => KindDump::SnapshotCreation,
KindWithContent::Export { url, api_key, payload_size, indexes } => KindDump::Export {
url,
api_key,
payload_size,
indexes: indexes
.into_iter()
.map(|(pattern, settings)| (pattern.to_string(), settings))
.collect(),
},
KindWithContent::UpgradeDatabase { from: version } => {
KindDump::UpgradeDatabase { from: version }
}
@@ -349,7 +329,6 @@ pub(crate) mod test {
write_channel_congestion: None,
internal_database_sizes: Default::default(),
},
embedder_stats: Default::default(),
enqueued_at: Some(BatchEnqueuedAt {
earliest: datetime!(2022-11-11 0:00 UTC),
oldest: datetime!(2022-11-11 0:00 UTC),

View File

@@ -1,4 +1,3 @@
use std::fs::File;
use std::str::FromStr;
use super::v2_to_v3::CompatV2ToV3;
@@ -95,10 +94,6 @@ impl CompatIndexV1ToV2 {
self.from.documents().map(|it| Box::new(it) as Box<dyn Iterator<Item = _>>)
}
pub fn documents_file(&self) -> &File {
self.from.documents_file()
}
pub fn settings(&mut self) -> Result<v2::settings::Settings<v2::settings::Checked>> {
Ok(v2::settings::Settings::<v2::settings::Unchecked>::from(self.from.settings()?).check())
}

View File

@@ -1,4 +1,3 @@
use std::fs::File;
use std::str::FromStr;
use time::OffsetDateTime;
@@ -123,13 +122,6 @@ impl CompatIndexV2ToV3 {
}
}
pub fn documents_file(&self) -> &File {
match self {
CompatIndexV2ToV3::V2(v2) => v2.documents_file(),
CompatIndexV2ToV3::Compat(compat) => compat.documents_file(),
}
}
pub fn settings(&mut self) -> Result<v3::Settings<v3::Checked>> {
let settings = match self {
CompatIndexV2ToV3::V2(from) => from.settings()?,

View File

@@ -1,5 +1,3 @@
use std::fs::File;
use super::v2_to_v3::{CompatIndexV2ToV3, CompatV2ToV3};
use super::v4_to_v5::CompatV4ToV5;
use crate::reader::{v3, v4, UpdateFile};
@@ -254,13 +252,6 @@ impl CompatIndexV3ToV4 {
}
}
pub fn documents_file(&self) -> &File {
match self {
CompatIndexV3ToV4::V3(v3) => v3.documents_file(),
CompatIndexV3ToV4::Compat(compat) => compat.documents_file(),
}
}
pub fn settings(&mut self) -> Result<v4::Settings<v4::Checked>> {
Ok(match self {
CompatIndexV3ToV4::V3(v3) => {

View File

@@ -1,5 +1,3 @@
use std::fs::File;
use super::v3_to_v4::{CompatIndexV3ToV4, CompatV3ToV4};
use super::v5_to_v6::CompatV5ToV6;
use crate::reader::{v4, v5, Document};
@@ -243,13 +241,6 @@ impl CompatIndexV4ToV5 {
}
}
pub fn documents_file(&self) -> &File {
match self {
CompatIndexV4ToV5::V4(v4) => v4.documents_file(),
CompatIndexV4ToV5::Compat(compat) => compat.documents_file(),
}
}
pub fn settings(&mut self) -> Result<v5::Settings<v5::Checked>> {
match self {
CompatIndexV4ToV5::V4(v4) => Ok(v5::Settings::from(v4.settings()?).check()),

View File

@@ -1,4 +1,3 @@
use std::fs::File;
use std::num::NonZeroUsize;
use std::str::FromStr;
@@ -244,13 +243,6 @@ impl CompatIndexV5ToV6 {
}
}
pub fn documents_file(&self) -> &File {
match self {
CompatIndexV5ToV6::V5(v5) => v5.documents_file(),
CompatIndexV5ToV6::Compat(compat) => compat.documents_file(),
}
}
pub fn settings(&mut self) -> Result<v6::Settings<v6::Checked>> {
match self {
CompatIndexV5ToV6::V5(v5) => Ok(v6::Settings::from(v5.settings()?).check()),

View File

@@ -116,15 +116,6 @@ impl DumpReader {
}
}
pub fn chat_completions_settings(
&mut self,
) -> Result<Box<dyn Iterator<Item = Result<(String, v6::ChatCompletionSettings)>> + '_>> {
match self {
DumpReader::Current(current) => current.chat_completions_settings(),
DumpReader::Compat(_compat) => Ok(Box::new(std::iter::empty())),
}
}
pub fn features(&self) -> Result<Option<v6::RuntimeTogglableFeatures>> {
match self {
DumpReader::Current(current) => Ok(current.features()),
@@ -192,14 +183,6 @@ impl DumpIndexReader {
}
}
/// A reference to a file in the NDJSON format containing all the documents of the index
pub fn documents_file(&self) -> &File {
match self {
DumpIndexReader::Current(v6) => v6.documents_file(),
DumpIndexReader::Compat(compat) => compat.documents_file(),
}
}
pub fn settings(&mut self) -> Result<v6::Settings<v6::Checked>> {
match self {
DumpIndexReader::Current(v6) => v6.settings(),

View File

@@ -72,10 +72,6 @@ impl V1IndexReader {
.map(|line| -> Result<_> { Ok(serde_json::from_str(&line?)?) }))
}
pub fn documents_file(&self) -> &File {
self.documents.get_ref()
}
pub fn settings(&mut self) -> Result<self::settings::Settings> {
Ok(serde_json::from_reader(&mut self.settings)?)
}

View File

@@ -203,10 +203,6 @@ impl V2IndexReader {
.map(|line| -> Result<_> { Ok(serde_json::from_str(&line?)?) }))
}
pub fn documents_file(&self) -> &File {
self.documents.get_ref()
}
pub fn settings(&mut self) -> Result<Settings<Checked>> {
Ok(self.settings.clone())
}

View File

@@ -215,10 +215,6 @@ impl V3IndexReader {
.map(|line| -> Result<_> { Ok(serde_json::from_str(&line?)?) }))
}
pub fn documents_file(&self) -> &File {
self.documents.get_ref()
}
pub fn settings(&mut self) -> Result<Settings<Checked>> {
Ok(self.settings.clone())
}

View File

@@ -210,10 +210,6 @@ impl V4IndexReader {
.map(|line| -> Result<_> { Ok(serde_json::from_str(&line?)?) }))
}
pub fn documents_file(&self) -> &File {
self.documents.get_ref()
}
pub fn settings(&mut self) -> Result<Settings<Checked>> {
Ok(self.settings.clone())
}

View File

@@ -247,10 +247,6 @@ impl V5IndexReader {
.map(|line| -> Result<_> { Ok(serde_json::from_str(&line?)?) }))
}
pub fn documents_file(&self) -> &File {
self.documents.get_ref()
}
pub fn settings(&mut self) -> Result<Settings<Checked>> {
Ok(self.settings.clone())
}

View File

@@ -1,4 +1,3 @@
use std::ffi::OsStr;
use std::fs::{self, File};
use std::io::{BufRead, BufReader, ErrorKind};
use std::path::Path;
@@ -22,7 +21,6 @@ pub type Unchecked = meilisearch_types::settings::Unchecked;
pub type Task = crate::TaskDump;
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::features::Network;
@@ -194,34 +192,6 @@ impl V6Reader {
)
}
pub fn chat_completions_settings(
&mut self,
) -> Result<Box<dyn Iterator<Item = Result<(String, ChatCompletionSettings)>> + '_>> {
let entries = match fs::read_dir(self.dump.path().join("chat-completions-settings")) {
Ok(entries) => entries,
Err(e) if e.kind() == ErrorKind::NotFound => return Ok(Box::new(std::iter::empty())),
Err(e) => return Err(e.into()),
};
Ok(Box::new(
entries
.map(|entry| -> Result<Option<_>> {
let entry = entry?;
let file_name = entry.file_name();
let path = Path::new(&file_name);
if entry.file_type()?.is_file() && path.extension() == Some(OsStr::new("json"))
{
let name = path.file_stem().unwrap().to_str().unwrap().to_string();
let file = File::open(entry.path())?;
let settings = serde_json::from_reader(file)?;
Ok(Some((name, settings)))
} else {
Ok(None)
}
})
.filter_map(|entry| entry.transpose()),
))
}
pub fn features(&self) -> Option<RuntimeTogglableFeatures> {
self.features
}
@@ -284,10 +254,6 @@ impl V6IndexReader {
.map(|line| -> Result<_> { Ok(serde_json::from_str(&line?)?) }))
}
pub fn documents_file(&self) -> &File {
self.documents.get_ref()
}
pub fn settings(&mut self) -> Result<Settings<Checked>> {
let mut settings: Settings<Unchecked> = serde_json::from_reader(&mut self.settings)?;
patch_embedders(&mut settings);

View File

@@ -5,7 +5,7 @@ use std::path::PathBuf;
use flate2::write::GzEncoder;
use flate2::Compression;
use meilisearch_types::batches::Batch;
use meilisearch_types::features::{ChatCompletionSettings, Network, RuntimeTogglableFeatures};
use meilisearch_types::features::{Network, RuntimeTogglableFeatures};
use meilisearch_types::keys::Key;
use meilisearch_types::settings::{Checked, Settings};
use serde_json::{Map, Value};
@@ -51,10 +51,6 @@ impl DumpWriter {
KeyWriter::new(self.dir.path().to_path_buf())
}
pub fn create_chat_completions_settings(&self) -> Result<ChatCompletionsSettingsWriter> {
ChatCompletionsSettingsWriter::new(self.dir.path().join("chat-completions-settings"))
}
pub fn create_tasks_queue(&self) -> Result<TaskWriter> {
TaskWriter::new(self.dir.path().join("tasks"))
}
@@ -108,24 +104,6 @@ impl KeyWriter {
}
}
pub struct ChatCompletionsSettingsWriter {
path: PathBuf,
}
impl ChatCompletionsSettingsWriter {
pub(crate) fn new(path: PathBuf) -> Result<Self> {
std::fs::create_dir(&path)?;
Ok(ChatCompletionsSettingsWriter { path })
}
pub fn push_settings(&mut self, name: &str, settings: &ChatCompletionSettings) -> Result<()> {
let mut settings_file = File::create(self.path.join(name).with_extension("json"))?;
serde_json::to_writer(&mut settings_file, &settings)?;
settings_file.flush()?;
Ok(())
}
}
pub struct TaskWriter {
queue: BufWriter<File>,
update_files: PathBuf,

View File

@@ -11,7 +11,7 @@ edition.workspace = true
license.workspace = true
[dependencies]
tempfile = "3.20.0"
thiserror = "2.0.12"
tempfile = "3.15.0"
thiserror = "2.0.9"
tracing = "0.1.41"
uuid = { version = "1.17.0", features = ["serde", "v4"] }
uuid = { version = "1.11.0", features = ["serde", "v4"] }

View File

@@ -14,7 +14,7 @@ license.workspace = true
[dependencies]
nom = "7.1.3"
nom_locate = "4.2.0"
unescaper = "0.1.6"
unescaper = "0.1.5"
[dev-dependencies]
# fixed version due to format breakages in v1.40

View File

@@ -16,7 +16,7 @@ license.workspace = true
serde_json = "1.0"
[dev-dependencies]
criterion = { version = "0.6.0", features = ["html_reports"] }
criterion = { version = "0.5.1", features = ["html_reports"] }
[[bench]]
name = "benchmarks"

View File

@@ -12,11 +12,11 @@ license.workspace = true
[dependencies]
arbitrary = { version = "1.4.1", features = ["derive"] }
bumpalo = "3.18.1"
clap = { version = "4.5.40", features = ["derive"] }
either = "1.15.0"
bumpalo = "3.16.0"
clap = { version = "4.5.24", features = ["derive"] }
either = "1.13.0"
fastrand = "2.3.0"
milli = { path = "../milli" }
serde = { version = "1.0.219", features = ["derive"] }
serde_json = { version = "1.0.140", features = ["preserve_order"] }
tempfile = "3.20.0"
serde = { version = "1.0.217", features = ["derive"] }
serde_json = { version = "1.0.135", features = ["preserve_order"] }
tempfile = "3.15.0"

View File

@@ -13,7 +13,7 @@ use milli::heed::EnvOpenOptions;
use milli::progress::Progress;
use milli::update::new::indexer;
use milli::update::IndexerConfig;
use milli::vector::RuntimeEmbedders;
use milli::vector::EmbeddingConfigs;
use milli::Index;
use serde_json::Value;
use tempfile::TempDir;
@@ -89,7 +89,7 @@ fn main() {
let mut new_fields_ids_map = db_fields_ids_map.clone();
let indexer_alloc = Bump::new();
let embedders = RuntimeEmbedders::default();
let embedders = EmbeddingConfigs::default();
let mut indexer = indexer::DocumentOperation::new();
let mut operations = Vec::new();
@@ -144,7 +144,6 @@ fn main() {
embedders,
&|| false,
&Progress::default(),
&Default::default(),
)
.unwrap();

View File

@@ -11,31 +11,31 @@ edition.workspace = true
license.workspace = true
[dependencies]
anyhow = "1.0.98"
anyhow = "1.0.95"
bincode = "1.3.3"
byte-unit = "5.1.6"
bumpalo = "3.18.1"
bumpalo = "3.16.0"
bumparaw-collections = "0.1.4"
convert_case = "0.8.0"
convert_case = "0.6.0"
csv = "1.3.1"
derive_builder = "0.20.2"
dump = { path = "../dump" }
enum-iterator = "2.1.0"
file-store = { path = "../file-store" }
flate2 = "1.1.2"
indexmap = "2.9.0"
flate2 = "1.0.35"
indexmap = "2.7.0"
meilisearch-auth = { path = "../meilisearch-auth" }
meilisearch-types = { path = "../meilisearch-types" }
memmap2 = "0.9.7"
memmap2 = "0.9.5"
page_size = "0.6.0"
rayon = "1.10.0"
roaring = { version = "0.10.12", features = ["serde"] }
serde = { version = "1.0.219", features = ["derive"] }
serde_json = { version = "1.0.140", features = ["preserve_order"] }
roaring = { version = "0.10.10", features = ["serde"] }
serde = { version = "1.0.217", features = ["derive"] }
serde_json = { version = "1.0.138", features = ["preserve_order"] }
synchronoise = "1.0.1"
tempfile = "3.20.0"
thiserror = "2.0.12"
time = { version = "0.3.41", features = [
tempfile = "3.15.0"
thiserror = "2.0.9"
time = { version = "0.3.37", features = [
"serde-well-known",
"formatting",
"parsing",
@@ -43,8 +43,7 @@ time = { version = "0.3.41", features = [
] }
tracing = "0.1.41"
ureq = "2.12.1"
uuid = { version = "1.17.0", features = ["serde", "v4"] }
backoff = "0.4.0"
uuid = { version = "1.11.0", features = ["serde", "v4"] }
[dev-dependencies]
big_s = "1.0.2"

View File

@@ -4,7 +4,6 @@ use std::io;
use dump::{KindDump, TaskDump, UpdateFile};
use meilisearch_types::batches::{Batch, BatchId};
use meilisearch_types::heed::RwTxn;
use meilisearch_types::index_uid_pattern::IndexUidPattern;
use meilisearch_types::milli;
use meilisearch_types::tasks::{Kind, KindWithContent, Status, Task};
use roaring::RoaringBitmap;
@@ -212,23 +211,6 @@ impl<'a> Dump<'a> {
KindWithContent::DumpCreation { keys, instance_uid }
}
KindDump::SnapshotCreation => KindWithContent::SnapshotCreation,
KindDump::Export { url, api_key, payload_size, indexes } => {
KindWithContent::Export {
url,
api_key,
payload_size,
indexes: indexes
.into_iter()
.map(|(pattern, settings)| {
Ok((
IndexUidPattern::try_from(pattern)
.map_err(|_| Error::CorruptedDump)?,
settings,
))
})
.collect::<Result<_, Error>>()?,
}
}
KindDump::UpgradeDatabase { from } => KindWithContent::UpgradeDatabase { from },
},
};

View File

@@ -151,10 +151,6 @@ pub enum Error {
CorruptedTaskQueue,
#[error(transparent)]
DatabaseUpgrade(Box<Self>),
#[error(transparent)]
Export(Box<Self>),
#[error("Failed to export documents to remote server {code} ({type}): {message} <{link}>")]
FromRemoteWhenExporting { message: String, code: String, r#type: String, link: String },
#[error("Failed to rollback for index `{index}`: {rollback_outcome} ")]
RollbackFailed { index: String, rollback_outcome: RollbackOutcome },
#[error(transparent)]
@@ -216,7 +212,6 @@ impl Error {
| Error::BatchNotFound(_)
| Error::TaskDeletionWithEmptyQuery
| Error::TaskCancelationWithEmptyQuery
| Error::FromRemoteWhenExporting { .. }
| Error::AbortedTask
| Error::Dump(_)
| Error::Heed(_)
@@ -226,7 +221,6 @@ impl Error {
| Error::IoError(_)
| Error::Persist(_)
| Error::FeatureNotEnabled(_)
| Error::Export(_)
| Error::Anyhow(_) => true,
Error::CreateBatch(_)
| Error::CorruptedTaskQueue
@@ -288,7 +282,6 @@ impl ErrorCode for Error {
Error::Dump(e) => e.error_code(),
Error::Milli { error, .. } => error.error_code(),
Error::ProcessBatchPanicked(_) => Code::Internal,
Error::FromRemoteWhenExporting { .. } => Code::Internal,
Error::Heed(e) => e.error_code(),
Error::HeedTransaction(e) => e.error_code(),
Error::FileStore(e) => e.error_code(),
@@ -301,7 +294,6 @@ impl ErrorCode for Error {
Error::CorruptedTaskQueue => Code::Internal,
Error::CorruptedDump => Code::Internal,
Error::DatabaseUpgrade(_) => Code::Internal,
Error::Export(_) => Code::Internal,
Error::RollbackFailed { .. } => Code::Internal,
Error::UnrecoverableError(_) => Code::Internal,
Error::IndexSchedulerVersionMismatch { .. } => Code::Internal,

View File

@@ -144,19 +144,6 @@ impl RoFeatures {
.into())
}
}
pub fn check_multimodal(&self, disabled_action: &'static str) -> Result<()> {
if self.runtime.multimodal {
Ok(())
} else {
Err(FeatureNotEnabledError {
disabled_action,
feature: "multimodal",
issue_link: "https://github.com/orgs/meilisearch/discussions/846",
}
.into())
}
}
}
impl FeatureData {

View File

@@ -20,7 +20,6 @@ pub fn snapshot_index_scheduler(scheduler: &IndexScheduler) -> String {
let IndexScheduler {
cleanup_enabled: _,
experimental_no_edition_2024_for_dumps: _,
processing_tasks,
env,
version,
@@ -290,9 +289,6 @@ fn snapshot_details(d: &Details) -> String {
Details::IndexSwap { swaps } => {
format!("{{ swaps: {swaps:?} }}")
}
Details::Export { url, api_key, payload_size, indexes } => {
format!("{{ url: {url:?}, api_key: {api_key:?}, payload_size: {payload_size:?}, indexes: {indexes:?} }}")
}
Details::UpgradeDatabase { from, to } => {
format!("{{ from: {from:?}, to: {to:?} }}")
}
@@ -347,7 +343,6 @@ pub fn snapshot_batch(batch: &Batch) -> String {
uid,
details,
stats,
embedder_stats,
started_at,
finished_at,
progress: _,
@@ -371,12 +366,6 @@ pub fn snapshot_batch(batch: &Batch) -> String {
snap.push_str(&format!("uid: {uid}, "));
snap.push_str(&format!("details: {}, ", serde_json::to_string(details).unwrap()));
snap.push_str(&format!("stats: {}, ", serde_json::to_string(&stats).unwrap()));
if !embedder_stats.skip_serializing() {
snap.push_str(&format!(
"embedder stats: {}, ",
serde_json::to_string(&embedder_stats).unwrap()
));
}
snap.push_str(&format!("stop reason: {}, ", serde_json::to_string(&stop_reason).unwrap()));
snap.push('}');
snap

View File

@@ -57,15 +57,12 @@ use meilisearch_types::features::{
use meilisearch_types::heed::byteorder::BE;
use meilisearch_types::heed::types::{DecodeIgnore, SerdeJson, Str, I128};
use meilisearch_types::heed::{self, Database, Env, RoTxn, WithoutTls};
use meilisearch_types::milli::index::IndexEmbeddingConfig;
use meilisearch_types::milli::update::IndexerConfig;
use meilisearch_types::milli::vector::json_template::JsonTemplate;
use meilisearch_types::milli::vector::{
Embedder, EmbedderOptions, RuntimeEmbedder, RuntimeEmbedders, RuntimeFragment,
};
use meilisearch_types::milli::vector::{Embedder, EmbedderOptions, EmbeddingConfigs};
use meilisearch_types::milli::{self, Index};
use meilisearch_types::task_view::TaskView;
use meilisearch_types::tasks::{KindWithContent, Task};
use milli::vector::db::IndexEmbeddingConfig;
use processing::ProcessingTasks;
pub use queue::Query;
use queue::Queue;
@@ -168,9 +165,6 @@ pub struct IndexScheduler {
/// Whether we should automatically cleanup the task queue or not.
pub(crate) cleanup_enabled: bool,
/// Whether we should use the old document indexer or the new one.
pub(crate) experimental_no_edition_2024_for_dumps: bool,
/// The webhook url we should send tasks to after processing every batches.
pub(crate) webhook_url: Option<String>,
/// The Authorization header to send to the webhook URL.
@@ -213,7 +207,6 @@ impl IndexScheduler {
index_mapper: self.index_mapper.clone(),
cleanup_enabled: self.cleanup_enabled,
experimental_no_edition_2024_for_dumps: self.experimental_no_edition_2024_for_dumps,
webhook_url: self.webhook_url.clone(),
webhook_authorization_header: self.webhook_authorization_header.clone(),
embedders: self.embedders.clone(),
@@ -300,9 +293,6 @@ impl IndexScheduler {
index_mapper,
env,
cleanup_enabled: options.cleanup_enabled,
experimental_no_edition_2024_for_dumps: options
.indexer_config
.experimental_no_edition_2024_for_dumps,
webhook_url: options.webhook_url,
webhook_authorization_header: options.webhook_authorization_header,
embedders: Default::default(),
@@ -601,11 +591,6 @@ impl IndexScheduler {
Ok(nbr_index_processing_tasks > 0)
}
/// Whether the index should use the old document indexer.
pub fn no_edition_2024_for_dumps(&self) -> bool {
self.experimental_no_edition_2024_for_dumps
}
/// Return the tasks matching the query from the user's point of view along
/// with the total number of tasks matching the query, ignoring from and limit.
///
@@ -866,42 +851,29 @@ impl IndexScheduler {
&self,
index_uid: String,
embedding_configs: Vec<IndexEmbeddingConfig>,
) -> Result<RuntimeEmbedders> {
) -> Result<EmbeddingConfigs> {
let res: Result<_> = embedding_configs
.into_iter()
.map(
|IndexEmbeddingConfig {
name,
config: milli::vector::EmbeddingConfig { embedder_options, prompt, quantized },
fragments,
}|
-> Result<(String, Arc<RuntimeEmbedder>)> {
let document_template = prompt
.try_into()
.map_err(meilisearch_types::milli::Error::from)
.map_err(|err| Error::from_milli(err, Some(index_uid.clone())))?;
let fragments = fragments
.into_inner()
.into_iter()
.map(|fragment| {
let value = embedder_options.fragment(&fragment.name).unwrap();
let template = JsonTemplate::new(value.clone()).unwrap();
RuntimeFragment { name: fragment.name, id: fragment.id, template }
})
.collect();
..
}| {
let prompt = Arc::new(
prompt
.try_into()
.map_err(meilisearch_types::milli::Error::from)
.map_err(|err| Error::from_milli(err, Some(index_uid.clone())))?,
);
// optimistically return existing embedder
{
let embedders = self.embedders.read().unwrap();
if let Some(embedder) = embedders.get(&embedder_options) {
let runtime = Arc::new(RuntimeEmbedder::new(
embedder.clone(),
document_template,
fragments,
quantized.unwrap_or_default(),
return Ok((
name,
(embedder.clone(), prompt, quantized.unwrap_or_default()),
));
return Ok((name, runtime));
}
}
@@ -917,19 +889,11 @@ impl IndexScheduler {
let mut embedders = self.embedders.write().unwrap();
embedders.insert(embedder_options, embedder.clone());
}
let runtime = Arc::new(RuntimeEmbedder::new(
embedder.clone(),
document_template,
fragments,
quantized.unwrap_or_default(),
));
Ok((name, runtime))
Ok((name, (embedder, prompt, quantized.unwrap_or_default())))
},
)
.collect();
res.map(RuntimeEmbedders::new)
res.map(EmbeddingConfigs::new)
}
pub fn chat_settings(&self, uid: &str) -> Result<Option<ChatCompletionSettings>> {

View File

@@ -103,7 +103,6 @@ make_enum_progress! {
pub enum DumpCreationProgress {
StartTheDumpCreation,
DumpTheApiKeys,
DumpTheChatCompletionSettings,
DumpTheTasks,
DumpTheBatches,
DumpTheIndexes,
@@ -176,17 +175,8 @@ make_enum_progress! {
}
}
make_enum_progress! {
pub enum Export {
EnsuringCorrectnessOfTheTarget,
ExportingTheSettings,
ExportingTheDocuments,
}
}
make_atomic_progress!(Task alias AtomicTaskStep => "task" );
make_atomic_progress!(Document alias AtomicDocumentStep => "document" );
make_atomic_progress!(Index alias AtomicIndexStep => "index" );
make_atomic_progress!(Batch alias AtomicBatchStep => "batch" );
make_atomic_progress!(UpdateFile alias AtomicUpdateFileStep => "update file" );

View File

@@ -179,7 +179,6 @@ impl BatchQueue {
progress: None,
details: batch.details,
stats: batch.stats,
embedder_stats: batch.embedder_stats.as_ref().into(),
started_at: batch.started_at,
finished_at: batch.finished_at,
enqueued_at: batch.enqueued_at,

View File

@@ -71,7 +71,6 @@ impl From<KindWithContent> for AutobatchKind {
KindWithContent::TaskCancelation { .. }
| KindWithContent::TaskDeletion { .. }
| KindWithContent::DumpCreation { .. }
| KindWithContent::Export { .. }
| KindWithContent::UpgradeDatabase { .. }
| KindWithContent::SnapshotCreation => {
panic!("The autobatcher should never be called with tasks that don't apply to an index.")

View File

@@ -1,5 +1,4 @@
use std::fmt;
use std::io::ErrorKind;
use meilisearch_types::heed::RoTxn;
use meilisearch_types::milli::update::IndexDocumentsMethod;
@@ -48,9 +47,6 @@ pub(crate) enum Batch {
IndexSwap {
task: Task,
},
Export {
task: Task,
},
UpgradeDatabase {
tasks: Vec<Task>,
},
@@ -107,7 +103,6 @@ impl Batch {
Batch::TaskCancelation { task, .. }
| Batch::Dump(task)
| Batch::IndexCreation { task, .. }
| Batch::Export { task }
| Batch::IndexUpdate { task, .. } => {
RoaringBitmap::from_sorted_iter(std::iter::once(task.uid)).unwrap()
}
@@ -147,7 +142,6 @@ impl Batch {
| TaskDeletions(_)
| SnapshotCreation(_)
| Dump(_)
| Export { .. }
| UpgradeDatabase { .. }
| IndexSwap { .. } => None,
IndexOperation { op, .. } => Some(op.index_uid()),
@@ -173,7 +167,6 @@ impl fmt::Display for Batch {
Batch::IndexUpdate { .. } => f.write_str("IndexUpdate")?,
Batch::IndexDeletion { .. } => f.write_str("IndexDeletion")?,
Batch::IndexSwap { .. } => f.write_str("IndexSwap")?,
Batch::Export { .. } => f.write_str("Export")?,
Batch::UpgradeDatabase { .. } => f.write_str("UpgradeDatabase")?,
};
match index_uid {
@@ -433,10 +426,9 @@ impl IndexScheduler {
/// 0. We get the *last* task to cancel.
/// 1. We get the tasks to upgrade.
/// 2. We get the *next* task to delete.
/// 3. We get the *next* export to process.
/// 4. We get the *next* snapshot to process.
/// 5. We get the *next* dump to process.
/// 6. We get the *next* tasks to process for a specific index.
/// 3. We get the *next* snapshot to process.
/// 4. We get the *next* dump to process.
/// 5. We get the *next* tasks to process for a specific index.
#[tracing::instrument(level = "trace", skip(self, rtxn), target = "indexing::scheduler")]
pub(crate) fn create_next_batch(
&self,
@@ -508,17 +500,7 @@ impl IndexScheduler {
return Ok(Some((Batch::TaskDeletions(tasks), current_batch)));
}
// 3. we batch the export.
let to_export = self.queue.tasks.get_kind(rtxn, Kind::Export)? & enqueued;
if !to_export.is_empty() {
let task_id = to_export.iter().next().expect("There must be at least one export task");
let mut task = self.queue.tasks.get_task(rtxn, task_id)?.unwrap();
current_batch.processing([&mut task]);
current_batch.reason(BatchStopReason::TaskKindCannotBeBatched { kind: Kind::Export });
return Ok(Some((Batch::Export { task }, current_batch)));
}
// 4. we batch the snapshot.
// 3. we batch the snapshot.
let to_snapshot = self.queue.tasks.get_kind(rtxn, Kind::SnapshotCreation)? & enqueued;
if !to_snapshot.is_empty() {
let mut tasks = self.queue.tasks.get_existing_tasks(rtxn, to_snapshot)?;
@@ -528,7 +510,7 @@ impl IndexScheduler {
return Ok(Some((Batch::SnapshotCreation(tasks), current_batch)));
}
// 5. we batch the dumps.
// 4. we batch the dumps.
let to_dump = self.queue.tasks.get_kind(rtxn, Kind::DumpCreation)? & enqueued;
if let Some(to_dump) = to_dump.min() {
let mut task =
@@ -541,7 +523,7 @@ 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.
// 5. 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)?;
@@ -595,11 +577,7 @@ impl IndexScheduler {
.and_then(|task| task.ok_or(Error::CorruptedTaskQueue))?;
if let Some(uuid) = task.content_uuid() {
let content_size = match self.queue.file_store.compute_size(uuid) {
Ok(content_size) => content_size,
Err(file_store::Error::IoError(err)) if err.kind() == ErrorKind::NotFound => 0,
Err(otherwise) => return Err(otherwise.into()),
};
let content_size = self.queue.file_store.compute_size(uuid)?;
total_size = total_size.saturating_add(content_size);
}

View File

@@ -4,7 +4,6 @@ mod autobatcher_test;
mod create_batch;
mod process_batch;
mod process_dump_creation;
mod process_export;
mod process_index_operation;
mod process_snapshot_creation;
mod process_upgrade;

View File

@@ -162,13 +162,8 @@ impl IndexScheduler {
.set_currently_updating_index(Some((index_uid.clone(), index.clone())));
let pre_commit_dabases_sizes = index.database_sizes(&index_wtxn)?;
let (tasks, congestion) = self.apply_index_operation(
&mut index_wtxn,
&index,
op,
&progress,
current_batch.embedder_stats.clone(),
)?;
let (tasks, congestion) =
self.apply_index_operation(&mut index_wtxn, &index, op, &progress)?;
{
progress.update_progress(FinalizingIndexStep::Committing);
@@ -243,12 +238,10 @@ impl IndexScheduler {
);
builder.set_primary_key(primary_key);
let must_stop_processing = self.scheduler.must_stop_processing.clone();
builder
.execute(
&|| must_stop_processing.get(),
&progress,
current_batch.embedder_stats.clone(),
|indexing_step| tracing::debug!(update = ?indexing_step),
|| must_stop_processing.get(),
)
.map_err(|e| Error::from_milli(e, Some(index_uid.to_string())))?;
index_wtxn.commit()?;
@@ -368,46 +361,6 @@ impl IndexScheduler {
task.status = Status::Succeeded;
Ok((vec![task], ProcessBatchInfo::default()))
}
Batch::Export { mut task } => {
let KindWithContent::Export { url, api_key, payload_size, indexes } = &task.kind
else {
unreachable!()
};
let ret = catch_unwind(AssertUnwindSafe(|| {
self.process_export(
url,
api_key.as_deref(),
payload_size.as_ref(),
indexes,
progress,
)
}));
let stats = match ret {
Ok(Ok(stats)) => stats,
Ok(Err(Error::AbortedTask)) => return Err(Error::AbortedTask),
Ok(Err(e)) => return Err(Error::Export(Box::new(e))),
Err(e) => {
let msg = match e.downcast_ref::<&'static str>() {
Some(s) => *s,
None => match e.downcast_ref::<String>() {
Some(s) => &s[..],
None => "Box<dyn Any>",
},
};
return Err(Error::Export(Box::new(Error::ProcessBatchPanicked(
msg.to_string(),
))));
}
};
task.status = Status::Succeeded;
if let Some(Details::Export { indexes, .. }) = task.details.as_mut() {
*indexes = stats;
}
Ok((vec![task], ProcessBatchInfo::default()))
}
Batch::UpgradeDatabase { mut tasks } => {
let KindWithContent::UpgradeDatabase { from } = tasks.last().unwrap().kind else {
unreachable!();
@@ -755,11 +708,9 @@ impl IndexScheduler {
from.1,
from.2
);
let ret = catch_unwind(std::panic::AssertUnwindSafe(|| {
match std::panic::catch_unwind(std::panic::AssertUnwindSafe(|| {
self.process_rollback(from, progress)
}));
match ret {
})) {
Ok(Ok(())) => {}
Ok(Err(err)) => return Err(Error::DatabaseUpgrade(Box::new(err))),
Err(e) => {

View File

@@ -5,7 +5,6 @@ use std::sync::atomic::Ordering;
use dump::IndexMetadata;
use meilisearch_types::milli::constants::RESERVED_VECTORS_FIELD_NAME;
use meilisearch_types::milli::index::EmbeddingsWithMetadata;
use meilisearch_types::milli::progress::{Progress, VariableNameStep};
use meilisearch_types::milli::vector::parsed_vectors::{ExplicitVectors, VectorOrArrayOfVectors};
use meilisearch_types::milli::{self};
@@ -44,16 +43,7 @@ impl IndexScheduler {
let rtxn = self.env.read_txn()?;
// 2. dump the chat completion settings
// TODO should I skip the export if the chat completion has been disabled?
progress.update_progress(DumpCreationProgress::DumpTheChatCompletionSettings);
let mut dump_chat_completion_settings = dump.create_chat_completions_settings()?;
for result in self.chat_settings.iter(&rtxn)? {
let (name, chat_settings) = result?;
dump_chat_completion_settings.push_settings(name, &chat_settings)?;
}
// 3. dump the tasks
// 2. dump the tasks
progress.update_progress(DumpCreationProgress::DumpTheTasks);
let mut dump_tasks = dump.create_tasks_queue()?;
@@ -91,7 +81,7 @@ impl IndexScheduler {
let mut dump_content_file = dump_tasks.push_task(&t.into())?;
// 3.1. Dump the `content_file` associated with the task if there is one and the task is not finished yet.
// 2.1. Dump the `content_file` associated with the task if there is one and the task is not finished yet.
if let Some(content_file) = content_file {
if self.scheduler.must_stop_processing.get() {
return Err(Error::AbortedTask);
@@ -115,7 +105,7 @@ impl IndexScheduler {
}
dump_tasks.flush()?;
// 4. dump the batches
// 3. dump the batches
progress.update_progress(DumpCreationProgress::DumpTheBatches);
let mut dump_batches = dump.create_batches_queue()?;
@@ -148,7 +138,7 @@ impl IndexScheduler {
}
dump_batches.flush()?;
// 5. Dump the indexes
// 4. Dump the indexes
progress.update_progress(DumpCreationProgress::DumpTheIndexes);
let nb_indexes = self.index_mapper.index_mapping.len(&rtxn)? as u32;
let mut count = 0;
@@ -175,6 +165,9 @@ impl IndexScheduler {
let fields_ids_map = index.fields_ids_map(&rtxn)?;
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
let embedding_configs = index
.embedding_configs(&rtxn)
.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?;
let nb_documents = index
.number_of_documents(&rtxn)
@@ -185,7 +178,7 @@ impl IndexScheduler {
let documents = index
.all_documents(&rtxn)
.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?;
// 5.1. Dump the documents
// 4.1. Dump the documents
for ret in documents {
if self.scheduler.must_stop_processing.get() {
return Err(Error::AbortedTask);
@@ -228,21 +221,16 @@ impl IndexScheduler {
return Err(Error::from_milli(user_err, Some(uid.to_string())));
};
for (
embedder_name,
EmbeddingsWithMetadata { embeddings, regenerate, has_fragments },
) in embeddings
{
for (embedder_name, embeddings) in embeddings {
let user_provided = embedding_configs
.iter()
.find(|conf| conf.name == embedder_name)
.is_some_and(|conf| conf.user_provided.contains(id));
let embeddings = ExplicitVectors {
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,
// all embeddings would be regenerated on any settings change or document update.
// To prevent this, we mark embeddings has non regenerate in this case.
!has_fragments,
regenerate: !user_provided,
};
vectors.insert(embedder_name, serde_json::to_value(embeddings).unwrap());
}
@@ -252,7 +240,7 @@ impl IndexScheduler {
atomic.fetch_add(1, Ordering::Relaxed);
}
// 5.2. Dump the settings
// 4.2. Dump the settings
let settings = meilisearch_types::settings::settings(
index,
&rtxn,
@@ -263,7 +251,7 @@ impl IndexScheduler {
Ok(())
})?;
// 6. Dump experimental feature settings
// 5. Dump experimental feature settings
progress.update_progress(DumpCreationProgress::DumpTheExperimentalFeatures);
let features = self.features().runtime_features();
dump.create_experimental_features(features)?;

View File

@@ -1,377 +0,0 @@
use std::collections::BTreeMap;
use std::io::{self, Write as _};
use std::sync::atomic;
use std::time::Duration;
use backoff::ExponentialBackoff;
use byte_unit::Byte;
use flate2::write::GzEncoder;
use flate2::Compression;
use meilisearch_types::index_uid_pattern::IndexUidPattern;
use meilisearch_types::milli::constants::RESERVED_VECTORS_FIELD_NAME;
use meilisearch_types::milli::index::EmbeddingsWithMetadata;
use meilisearch_types::milli::progress::{Progress, VariableNameStep};
use meilisearch_types::milli::update::{request_threads, Setting};
use meilisearch_types::milli::vector::parsed_vectors::{ExplicitVectors, VectorOrArrayOfVectors};
use meilisearch_types::milli::{self, obkv_to_json, Filter, InternalError};
use meilisearch_types::settings::{self, SecretPolicy};
use meilisearch_types::tasks::{DetailsExportIndexSettings, ExportIndexSettings};
use serde::Deserialize;
use ureq::{json, Response};
use super::MustStopProcessing;
use crate::processing::AtomicDocumentStep;
use crate::{Error, IndexScheduler, Result};
impl IndexScheduler {
pub(super) fn process_export(
&self,
base_url: &str,
api_key: Option<&str>,
payload_size: Option<&Byte>,
indexes: &BTreeMap<IndexUidPattern, ExportIndexSettings>,
progress: Progress,
) -> Result<BTreeMap<IndexUidPattern, DetailsExportIndexSettings>> {
#[cfg(test)]
self.maybe_fail(crate::test_utils::FailureLocation::ProcessExport)?;
let indexes: Vec<_> = self
.index_names()?
.into_iter()
.flat_map(|uid| {
indexes
.iter()
.find(|(pattern, _)| pattern.matches_str(&uid))
.map(|(pattern, settings)| (pattern, uid, settings))
})
.collect();
let mut output = BTreeMap::new();
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() {
if must_stop_processing.get() {
return Err(Error::AbortedTask);
}
progress.update_progress(VariableNameStep::<ExportIndex>::new(
format!("Exporting index `{uid}`"),
i as u32,
indexes.len() as u32,
));
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 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);
output.insert(
IndexUidPattern::new_unchecked(uid.clone()),
DetailsExportIndexSettings {
settings: (*export_settings).clone(),
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");
let results = request_threads()
.broadcast(|ctx| {
let index_rtxn = index
.read_txn()
.map_err(|e| Error::from_milli(e.into(), Some(uid.to_string())))?;
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() {
continue;
}
let document = index
.document(&index_rtxn, docid)
.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(|e| Error::from_milli(e, Some(uid.to_string())))?;
// 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())))?;
if embeddings.is_empty() {
break 'inject_vectors;
}
let vectors = document
.entry(RESERVED_VECTORS_FIELD_NAME)
.or_insert(serde_json::Value::Object(Default::default()));
let serde_json::Value::Object(vectors) = vectors else {
return Err(Error::from_milli(
milli::Error::UserError(
milli::UserError::InvalidVectorsMapType {
document_id: {
if let Ok(Some(Ok(index))) = index
.external_id_of(
&index_rtxn,
std::iter::once(docid),
)
.map(|it| it.into_iter().next())
{
index
} else {
format!("internal docid={docid}")
}
},
value: vectors.clone(),
},
),
Some(uid.to_string()),
));
};
for (
embedder_name,
EmbeddingsWithMetadata { embeddings, regenerate, has_fragments },
) in embeddings
{
let embeddings = ExplicitVectors {
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,
// all embeddings would be regenerated on any settings change or document update.
// To prevent this, we mark embeddings has non regenerate in this case.
!has_fragments,
};
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())))?;
// Make sure we put at least one document in the buffer even
// though we might go above the buffer limit before sending
if !buffer.is_empty() && buffer.len() + tmp_buffer.len() > limit {
// 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())))?;
retry(&must_stop_processing, || {
let mut request = agent.post(&documents_url);
request = request.set("Content-Type", "application/x-ndjson");
request = request.set("Content-Encoding", "gzip");
if let Some(bearer) = &bearer {
request = request.set("Authorization", bearer);
}
request.send_bytes(&compressed_buffer).map_err(into_backoff_error)
})?;
buffer.clear();
compressed_buffer.clear();
}
buffer.extend_from_slice(&tmp_buffer);
if i > 0 && i % 100 == 0 {
step.fetch_add(100, atomic::Ordering::Relaxed);
}
}
retry(&must_stop_processing, || {
let mut request = agent.post(&documents_url);
request = request.set("Content-Type", "application/x-ndjson");
if let Some(bearer) = &bearer {
request = request.set("Authorization", bearer);
}
request.send_bytes(&buffer).map_err(into_backoff_error)
})?;
Ok(())
})
.map_err(|e| {
Error::from_milli(
milli::Error::InternalError(InternalError::PanicInThreadPool(e)),
Some(uid.to_string()),
)
})?;
for result in results {
result?;
}
step.store(total_documents, atomic::Ordering::Relaxed);
}
Ok(output)
}
}
fn retry<F>(must_stop_processing: &MustStopProcessing, send_request: F) -> Result<ureq::Response>
where
F: Fn() -> Result<ureq::Response, backoff::Error<ureq::Error>>,
{
match backoff::retry(ExponentialBackoff::default(), || {
if must_stop_processing.get() {
return Err(backoff::Error::Permanent(ureq::Error::Status(
u16::MAX,
// 444: Connection Closed Without Response
Response::new(444, "Abort", "Aborted task").unwrap(),
)));
}
send_request()
}) {
Ok(response) => Ok(response),
Err(backoff::Error::Permanent(e)) => Err(ureq_error_into_error(e)),
Err(backoff::Error::Transient { err, retry_after: _ }) => Err(ureq_error_into_error(err)),
}
}
fn into_backoff_error(err: ureq::Error) -> backoff::Error<ureq::Error> {
match err {
// Those code status must trigger an automatic retry
// <https://www.restapitutorial.com/advanced/responses/retries>
ureq::Error::Status(408 | 429 | 500 | 502 | 503 | 504, _) => {
backoff::Error::Transient { err, retry_after: None }
}
ureq::Error::Status(_, _) => backoff::Error::Permanent(err),
ureq::Error::Transport(_) => backoff::Error::Transient { err, retry_after: None },
}
}
/// Converts a `ureq::Error` into an `Error`.
fn ureq_error_into_error(error: ureq::Error) -> Error {
#[derive(Deserialize)]
struct MeiliError {
message: String,
code: String,
r#type: String,
link: String,
}
match error {
// This is a workaround to handle task abortion - the error propagation path
// makes it difficult to cleanly surface the abortion at this level.
ureq::Error::Status(u16::MAX, _) => Error::AbortedTask,
ureq::Error::Status(_, response) => match response.into_json() {
Ok(MeiliError { message, code, r#type, link }) => {
Error::FromRemoteWhenExporting { message, code, r#type, link }
}
Err(e) => e.into(),
},
ureq::Error::Transport(transport) => io::Error::new(io::ErrorKind::Other, transport).into(),
}
}
enum ExportIndex {}

View File

@@ -1,13 +1,11 @@
use std::sync::Arc;
use bumpalo::collections::CollectIn;
use bumpalo::Bump;
use meilisearch_types::heed::RwTxn;
use meilisearch_types::milli::documents::PrimaryKey;
use meilisearch_types::milli::progress::{EmbedderStats, Progress};
use meilisearch_types::milli::progress::Progress;
use meilisearch_types::milli::update::new::indexer::{self, UpdateByFunction};
use meilisearch_types::milli::update::DocumentAdditionResult;
use meilisearch_types::milli::{self, ChannelCongestion, Filter};
use meilisearch_types::milli::{self, ChannelCongestion, Filter, ThreadPoolNoAbortBuilder};
use meilisearch_types::settings::apply_settings_to_builder;
use meilisearch_types::tasks::{Details, KindWithContent, Status, Task};
use meilisearch_types::Index;
@@ -26,7 +24,7 @@ impl IndexScheduler {
/// The list of processed tasks.
#[tracing::instrument(
level = "trace",
skip(self, index_wtxn, index, progress, embedder_stats),
skip(self, index_wtxn, index, progress),
target = "indexing::scheduler"
)]
pub(crate) fn apply_index_operation<'i>(
@@ -35,7 +33,6 @@ impl IndexScheduler {
index: &'i Index,
operation: IndexOperation,
progress: &Progress,
embedder_stats: Arc<EmbedderStats>,
) -> Result<(Vec<Task>, Option<ChannelCongestion>)> {
let indexer_alloc = Bump::new();
let started_processing_at = std::time::Instant::now();
@@ -89,9 +86,8 @@ impl IndexScheduler {
let mut content_files_iter = content_files.iter();
let mut indexer = indexer::DocumentOperation::new();
let embedders = index
.embedding_configs()
.embedding_configs(index_wtxn)
.map_err(|e| Error::from_milli(e.into(), Some(index_uid.clone())))?;
.map_err(|e| Error::from_milli(e, Some(index_uid.clone())))?;
let embedders = self.embedders(index_uid.clone(), embedders)?;
for operation in operations {
match operation {
@@ -117,8 +113,18 @@ impl IndexScheduler {
}
}
let local_pool;
let indexer_config = self.index_mapper.indexer_config();
let pool = &indexer_config.thread_pool;
let pool = match &indexer_config.thread_pool {
Some(pool) => pool,
None => {
local_pool = ThreadPoolNoAbortBuilder::new()
.thread_name(|i| format!("indexing-thread-{i}"))
.build()
.unwrap();
&local_pool
}
};
progress.update_progress(DocumentOperationProgress::ComputingDocumentChanges);
let (document_changes, operation_stats, primary_key) = indexer
@@ -181,7 +187,6 @@ impl IndexScheduler {
embedders,
&|| must_stop_processing.get(),
progress,
&embedder_stats,
)
.map_err(|e| Error::from_milli(e, Some(index_uid.clone())))?,
);
@@ -261,8 +266,18 @@ impl IndexScheduler {
let mut congestion = None;
if task.error.is_none() {
let local_pool;
let indexer_config = self.index_mapper.indexer_config();
let pool = &indexer_config.thread_pool;
let pool = match &indexer_config.thread_pool {
Some(pool) => pool,
None => {
local_pool = ThreadPoolNoAbortBuilder::new()
.thread_name(|i| format!("indexing-thread-{i}"))
.build()
.unwrap();
&local_pool
}
};
let candidates_count = candidates.len();
progress.update_progress(DocumentEditionProgress::ComputingDocumentChanges);
@@ -275,9 +290,8 @@ impl IndexScheduler {
})
.unwrap()?;
let embedders = index
.embedding_configs()
.embedding_configs(index_wtxn)
.map_err(|err| Error::from_milli(err.into(), Some(index_uid.clone())))?;
.map_err(|err| Error::from_milli(err, Some(index_uid.clone())))?;
let embedders = self.embedders(index_uid.clone(), embedders)?;
progress.update_progress(DocumentEditionProgress::Indexing);
@@ -294,7 +308,6 @@ impl IndexScheduler {
embedders,
&|| must_stop_processing.get(),
progress,
&embedder_stats,
)
.map_err(|err| Error::from_milli(err, Some(index_uid.clone())))?,
);
@@ -416,8 +429,18 @@ impl IndexScheduler {
let mut congestion = None;
if !tasks.iter().all(|res| res.error.is_some()) {
let local_pool;
let indexer_config = self.index_mapper.indexer_config();
let pool = &indexer_config.thread_pool;
let pool = match &indexer_config.thread_pool {
Some(pool) => pool,
None => {
local_pool = ThreadPoolNoAbortBuilder::new()
.thread_name(|i| format!("indexing-thread-{i}"))
.build()
.unwrap();
&local_pool
}
};
progress.update_progress(DocumentDeletionProgress::DeleteDocuments);
let mut indexer = indexer::DocumentDeletion::new();
@@ -425,9 +448,8 @@ impl IndexScheduler {
indexer.delete_documents_by_docids(to_delete);
let document_changes = indexer.into_changes(&indexer_alloc, primary_key);
let embedders = index
.embedding_configs()
.embedding_configs(index_wtxn)
.map_err(|err| Error::from_milli(err.into(), Some(index_uid.clone())))?;
.map_err(|err| Error::from_milli(err, Some(index_uid.clone())))?;
let embedders = self.embedders(index_uid.clone(), embedders)?;
progress.update_progress(DocumentDeletionProgress::Indexing);
@@ -444,7 +466,6 @@ impl IndexScheduler {
embedders,
&|| must_stop_processing.get(),
progress,
&embedder_stats,
)
.map_err(|err| Error::from_milli(err, Some(index_uid.clone())))?,
);
@@ -477,11 +498,14 @@ impl IndexScheduler {
}
progress.update_progress(SettingsProgress::ApplyTheSettings);
let congestion = builder
.execute(&|| must_stop_processing.get(), progress, embedder_stats)
builder
.execute(
|indexing_step| tracing::debug!(update = ?indexing_step),
|| must_stop_processing.get(),
)
.map_err(|err| Error::from_milli(err, Some(index_uid.clone())))?;
Ok((tasks, congestion))
Ok((tasks, None))
}
IndexOperation::DocumentClearAndSetting {
index_uid,
@@ -497,7 +521,6 @@ impl IndexScheduler {
tasks: cleared_tasks,
},
progress,
embedder_stats.clone(),
)?;
let (settings_tasks, _congestion) = self.apply_index_operation(
@@ -505,7 +528,6 @@ impl IndexScheduler {
index,
IndexOperation::Settings { index_uid, settings, tasks: settings_tasks },
progress,
embedder_stats,
)?;
let mut tasks = settings_tasks;

View File

@@ -25,6 +25,13 @@ impl IndexScheduler {
i as u32,
indexes.len() as u32,
));
if uid.starts_with("long-") {
tracing::warn!("taking a long time to upgrade for test purposes");
std::thread::sleep(std::time::Duration::from_secs(1200));
}
if uid.starts_with("fail-") {
panic!("failing for test purposes");
}
let index = self.index(uid)?;
let mut index_wtxn = index.write_txn()?;
let regen_stats = milli::update::upgrade::upgrade(

View File

@@ -1,17 +0,0 @@
---
source: crates/index-scheduler/src/scheduler/test.rs
expression: config.embedder_options
---
{
"Rest": {
"api_key": "My super secret",
"distribution": null,
"dimensions": 4,
"url": "http://localhost:7777",
"request": "{{text}}",
"search_fragments": {},
"indexing_fragments": {},
"response": "{{embedding}}",
"headers": {}
}
}

View File

@@ -1,12 +0,0 @@
---
source: crates/index-scheduler/src/scheduler/test_embedders.rs
expression: simple_hf_config.embedder_options
---
{
"HuggingFace": {
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"distribution": null,
"pooling": "useModel"
}
}

View File

@@ -1,15 +0,0 @@
---
source: crates/index-scheduler/src/scheduler/test_embedders.rs
expression: doc
---
{
"doggo": "Intel",
"breed": "beagle",
"_vectors": {
"noise": [
0.1,
0.2,
0.3
]
}
}

View File

@@ -1,15 +0,0 @@
---
source: crates/index-scheduler/src/scheduler/test_embedders.rs
expression: doc
---
{
"doggo": "kefir",
"breed": "patou",
"_vectors": {
"noise": [
0.1,
0.2,
0.3
]
}
}

View File

@@ -1,17 +1,12 @@
---
source: crates/index-scheduler/src/scheduler/test_embedders.rs
expression: fakerest_config.embedder_options
expression: simple_hf_config.embedder_options
---
{
"Rest": {
"api_key": "My super secret",
"HuggingFace": {
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"distribution": null,
"dimensions": 384,
"url": "http://localhost:7777",
"request": "{{text}}",
"search_fragments": {},
"indexing_fragments": {},
"response": "{{embedding}}",
"headers": {}
"pooling": "useModel"
}
}

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"), 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"), 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 }}
----------------------------------------------------------------------
### 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"), 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"), 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 }}
----------------------------------------------------------------------
### 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"), 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, 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"), 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, 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 }}
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"), 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, 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"), 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, 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 }}
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"), 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, 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"), 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, 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 }}
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"), 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, 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"), 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, 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 }}
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"), 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, 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"), 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, 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 }}
----------------------------------------------------------------------
### 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"), 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, 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"), 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, 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 }}
----------------------------------------------------------------------
### 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: { from: (1, 12, 0), to: (1, 16, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, batch_uid: 1, status: succeeded, details: { primary_key: Some("mouse") }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
2 {uid: 2, batch_uid: 2, status: succeeded, details: { primary_key: Some("bone") }, 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") }, 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":"v1.16.0"}, 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":"v1.15.2"}, 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, 16, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 15, 2) }, 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, 16, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, status: enqueued, details: { from: (1, 12, 0), to: (1, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse") }, 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, 16, 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, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse") }, 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":"v1.16.0"}, 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":"v1.15.2"}, 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, 16, 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, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse") }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
2 {uid: 2, status: enqueued, details: { primary_key: Some("bone") }, 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":"v1.16.0"}, 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":"v1.15.2"}, 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, 16, 0) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
0 {uid: 0, batch_uid: 0, status: succeeded, details: { from: (1, 12, 0), to: (1, 15, 2) }, kind: UpgradeDatabase { from: (1, 12, 0) }}
1 {uid: 1, status: enqueued, details: { primary_key: Some("mouse") }, kind: IndexCreation { index_uid: "catto", primary_key: Some("mouse") }}
2 {uid: 2, status: enqueued, details: { primary_key: Some("bone") }, kind: IndexCreation { index_uid: "doggo", primary_key: Some("bone") }}
3 {uid: 3, status: enqueued, details: { primary_key: Some("bone") }, 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":"v1.16.0"}, 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":"v1.15.2"}, 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

@@ -3,11 +3,11 @@ use std::collections::BTreeMap;
use big_s::S;
use meili_snap::{json_string, snapshot};
use meilisearch_auth::AuthFilter;
use meilisearch_types::milli::index::IndexEmbeddingConfig;
use meilisearch_types::milli::update::IndexDocumentsMethod::*;
use meilisearch_types::milli::{self};
use meilisearch_types::settings::SettingEmbeddingSettings;
use meilisearch_types::tasks::{IndexSwap, KindWithContent};
use milli::vector::db::IndexEmbeddingConfig;
use roaring::RoaringBitmap;
use crate::insta_snapshot::snapshot_index_scheduler;
@@ -690,20 +690,11 @@ fn test_settings_update() {
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let embedders = index.embedding_configs();
let configs = embedders.embedding_configs(&rtxn).unwrap();
let IndexEmbeddingConfig { name, config, fragments } = configs.first().unwrap();
let info = embedders.embedder_info(&rtxn, name).unwrap().unwrap();
insta::assert_snapshot!(info.embedder_id, @"0");
insta::assert_debug_snapshot!(info.embedding_status.user_provided_docids(), @"RoaringBitmap<[]>");
insta::assert_debug_snapshot!(info.embedding_status.skip_regenerate_docids(), @"RoaringBitmap<[]>");
let configs = index.embedding_configs(&rtxn).unwrap();
let IndexEmbeddingConfig { name, config, user_provided } = configs.first().unwrap();
insta::assert_snapshot!(name, @"default");
insta::assert_debug_snapshot!(user_provided, @"RoaringBitmap<[]>");
insta::assert_json_snapshot!(config.embedder_options);
insta::assert_debug_snapshot!(fragments, @r###"
FragmentConfigs(
[],
)
"###);
}
#[test]
@@ -741,7 +732,6 @@ fn basic_get_stats() {
"documentDeletion": 0,
"documentEdition": 0,
"dumpCreation": 0,
"export": 0,
"indexCreation": 3,
"indexDeletion": 0,
"indexSwap": 0,
@@ -775,7 +765,6 @@ fn basic_get_stats() {
"documentDeletion": 0,
"documentEdition": 0,
"dumpCreation": 0,
"export": 0,
"indexCreation": 3,
"indexDeletion": 0,
"indexSwap": 0,
@@ -816,7 +805,6 @@ fn basic_get_stats() {
"documentDeletion": 0,
"documentEdition": 0,
"dumpCreation": 0,
"export": 0,
"indexCreation": 3,
"indexDeletion": 0,
"indexSwap": 0,
@@ -858,7 +846,6 @@ fn basic_get_stats() {
"documentDeletion": 0,
"documentEdition": 0,
"dumpCreation": 0,
"export": 0,
"indexCreation": 3,
"indexDeletion": 0,
"indexSwap": 0,

View File

@@ -3,15 +3,13 @@ use std::collections::BTreeMap;
use big_s::S;
use insta::assert_json_snapshot;
use meili_snap::{json_string, snapshot};
use meilisearch_types::milli::index::EmbeddingsWithMetadata;
use meilisearch_types::milli::index::IndexEmbeddingConfig;
use meilisearch_types::milli::update::Setting;
use meilisearch_types::milli::vector::settings::EmbeddingSettings;
use meilisearch_types::milli::vector::SearchQuery;
use meilisearch_types::milli::{self, obkv_to_json};
use meilisearch_types::settings::{SettingEmbeddingSettings, Settings, Unchecked};
use meilisearch_types::tasks::KindWithContent;
use milli::update::IndexDocumentsMethod::*;
use milli::vector::db::IndexEmbeddingConfig;
use crate::insta_snapshot::snapshot_index_scheduler;
use crate::test_utils::read_json;
@@ -87,51 +85,28 @@ fn import_vectors() {
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let embedders = index.embedding_configs();
let configs = embedders.embedding_configs(&rtxn).unwrap();
let configs = index.embedding_configs(&rtxn).unwrap();
// for consistency with the below
#[allow(clippy::get_first)]
let IndexEmbeddingConfig { name, config: fakerest_config, fragments } =
let IndexEmbeddingConfig { name, config: fakerest_config, user_provided } =
configs.get(0).unwrap();
let info = embedders.embedder_info(&rtxn, name).unwrap().unwrap();
insta::assert_snapshot!(info.embedder_id, @"0");
insta::assert_debug_snapshot!(info.embedding_status.user_provided_docids(), @"RoaringBitmap<[]>");
insta::assert_debug_snapshot!(info.embedding_status.skip_regenerate_docids(), @"RoaringBitmap<[]>");
insta::assert_snapshot!(name, @"A_fakerest");
insta::assert_debug_snapshot!(fragments, @r###"
FragmentConfigs(
[],
)
"###);
insta::assert_debug_snapshot!(user_provided, @"RoaringBitmap<[]>");
insta::assert_json_snapshot!(fakerest_config.embedder_options);
let fakerest_name = name.clone();
let IndexEmbeddingConfig { name, config: simple_hf_config, fragments } =
let IndexEmbeddingConfig { name, config: simple_hf_config, user_provided } =
configs.get(1).unwrap();
let info = embedders.embedder_info(&rtxn, name).unwrap().unwrap();
insta::assert_snapshot!(info.embedder_id, @"1");
insta::assert_debug_snapshot!(info.embedding_status.user_provided_docids(), @"RoaringBitmap<[]>");
insta::assert_debug_snapshot!(info.embedding_status.skip_regenerate_docids(), @"RoaringBitmap<[]>");
insta::assert_snapshot!(name, @"B_small_hf");
insta::assert_debug_snapshot!(fragments, @r###"
FragmentConfigs(
[],
)
"###);
insta::assert_debug_snapshot!(user_provided, @"RoaringBitmap<[]>");
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 hf_runtime = configs.get(&simple_hf_name).unwrap();
let hf_embedder = &hf_runtime.embedder;
let beagle_embed = hf_embedder
.embed_search(SearchQuery::Text("Intel the beagle best doggo"), None)
.unwrap();
let lab_embed =
hf_embedder.embed_search(SearchQuery::Text("Max the lab best doggo"), None).unwrap();
let patou_embed = hf_embedder
.embed_search(SearchQuery::Text("kefir the patou best doggo"), None)
.unwrap();
let (hf_embedder, _, _) = configs.get(&simple_hf_name).unwrap();
let beagle_embed = hf_embedder.embed_search("Intel the beagle best doggo", None).unwrap();
let lab_embed = hf_embedder.embed_search("Max the lab best doggo", None).unwrap();
let patou_embed = hf_embedder.embed_search("kefir the patou best doggo", None).unwrap();
(fakerest_name, simple_hf_name, beagle_embed, lab_embed, patou_embed)
};
@@ -191,38 +166,22 @@ fn import_vectors() {
let rtxn = index.read_txn().unwrap();
// Ensure the document have been inserted into the relevant bitamp
let embedders = index.embedding_configs();
let configs = embedders.embedding_configs(&rtxn).unwrap();
let configs = index.embedding_configs(&rtxn).unwrap();
// for consistency with the below
#[allow(clippy::get_first)]
let IndexEmbeddingConfig { name, config: _, fragments } = configs.get(0).unwrap();
let info = embedders.embedder_info(&rtxn, name).unwrap().unwrap();
insta::assert_snapshot!(info.embedder_id, @"0");
insta::assert_debug_snapshot!(info.embedding_status.user_provided_docids(), @"RoaringBitmap<[0]>");
insta::assert_debug_snapshot!(info.embedding_status.skip_regenerate_docids(), @"RoaringBitmap<[0]>");
let IndexEmbeddingConfig { name, config: _, user_provided: user_defined } =
configs.get(0).unwrap();
insta::assert_snapshot!(name, @"A_fakerest");
insta::assert_debug_snapshot!(fragments, @r###"
FragmentConfigs(
[],
)
"###);
insta::assert_debug_snapshot!(user_defined, @"RoaringBitmap<[0]>");
let IndexEmbeddingConfig { name, config: _, fragments } = configs.get(1).unwrap();
let info = embedders.embedder_info(&rtxn, name).unwrap().unwrap();
insta::assert_snapshot!(info.embedder_id, @"1");
insta::assert_debug_snapshot!(info.embedding_status.user_provided_docids(), @"RoaringBitmap<[0]>");
insta::assert_debug_snapshot!(info.embedding_status.skip_regenerate_docids(), @"RoaringBitmap<[]>");
let IndexEmbeddingConfig { name, config: _, user_provided } = configs.get(1).unwrap();
insta::assert_snapshot!(name, @"B_small_hf");
insta::assert_debug_snapshot!(fragments, @r###"
FragmentConfigs(
[],
)
"###);
insta::assert_debug_snapshot!(user_provided, @"RoaringBitmap<[]>");
let embeddings = index.embeddings(&rtxn, 0).unwrap();
assert_json_snapshot!(embeddings[&simple_hf_name].embeddings[0] == lab_embed, @"true");
assert_json_snapshot!(embeddings[&fakerest_name].embeddings[0] == beagle_embed, @"true");
assert_json_snapshot!(embeddings[&simple_hf_name][0] == lab_embed, @"true");
assert_json_snapshot!(embeddings[&fakerest_name][0] == beagle_embed, @"true");
let doc = index.documents(&rtxn, std::iter::once(0)).unwrap()[0].1;
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
@@ -280,41 +239,25 @@ fn import_vectors() {
let index = index_scheduler.index("doggos").unwrap();
let rtxn = index.read_txn().unwrap();
let embedders = index.embedding_configs();
// Ensure the document have been inserted into the relevant bitamp
let configs = embedders.embedding_configs(&rtxn).unwrap();
let configs = index.embedding_configs(&rtxn).unwrap();
// for consistency with the below
#[allow(clippy::get_first)]
let IndexEmbeddingConfig { name, config: _, fragments } = configs.get(0).unwrap();
let info = embedders.embedder_info(&rtxn, name).unwrap().unwrap();
insta::assert_snapshot!(info.embedder_id, @"0");
insta::assert_debug_snapshot!(info.embedding_status.user_provided_docids(), @"RoaringBitmap<[0]>");
insta::assert_debug_snapshot!(info.embedding_status.skip_regenerate_docids(), @"RoaringBitmap<[0]>");
let IndexEmbeddingConfig { name, config: _, user_provided: user_defined } =
configs.get(0).unwrap();
insta::assert_snapshot!(name, @"A_fakerest");
insta::assert_debug_snapshot!(fragments, @r###"
FragmentConfigs(
[],
)
"###);
insta::assert_debug_snapshot!(user_defined, @"RoaringBitmap<[0]>");
let IndexEmbeddingConfig { name, config: _, fragments } = configs.get(1).unwrap();
let info = embedders.embedder_info(&rtxn, name).unwrap().unwrap();
insta::assert_snapshot!(info.embedder_id, @"1");
insta::assert_debug_snapshot!(info.embedding_status.user_provided_docids(), @"RoaringBitmap<[]>");
insta::assert_debug_snapshot!(info.embedding_status.skip_regenerate_docids(), @"RoaringBitmap<[]>");
let IndexEmbeddingConfig { name, config: _, user_provided } = configs.get(1).unwrap();
insta::assert_snapshot!(name, @"B_small_hf");
insta::assert_debug_snapshot!(fragments, @r###"
FragmentConfigs(
[],
)
"###);
insta::assert_debug_snapshot!(user_provided, @"RoaringBitmap<[]>");
let embeddings = index.embeddings(&rtxn, 0).unwrap();
// automatically changed to patou because set to regenerate
assert_json_snapshot!(embeddings[&simple_hf_name].embeddings[0] == patou_embed, @"true");
assert_json_snapshot!(embeddings[&simple_hf_name][0] == patou_embed, @"true");
// remained beagle
assert_json_snapshot!(embeddings[&fakerest_name].embeddings[0] == beagle_embed, @"true");
assert_json_snapshot!(embeddings[&fakerest_name][0] == beagle_embed, @"true");
let doc = index.documents(&rtxn, std::iter::once(0)).unwrap()[0].1;
let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
@@ -456,8 +399,8 @@ fn import_vectors_first_and_embedder_later() {
.collect::<Vec<_>>();
// the all the vectors linked to the new specified embedder have been removed
// Only the unknown embedders stays in the document DB
snapshot!(serde_json::to_string(&documents).unwrap(), @r###"[{"id":0,"doggo":"kefir"},{"id":1,"doggo":"intel","_vectors":{"unknown embedder":[1,2,3]}},{"id":2,"doggo":"max","_vectors":{"unknown embedder":[4,5]}},{"id":3,"doggo":"marcel"},{"id":4,"doggo":"sora"}]"###);
let conf = index.embedding_configs().embedding_configs(&rtxn).unwrap();
snapshot!(serde_json::to_string(&documents).unwrap(), @r###"[{"id":0,"doggo":"kefir"},{"id":1,"doggo":"intel","_vectors":{"unknown embedder":[1.0,2.0,3.0]}},{"id":2,"doggo":"max","_vectors":{"unknown embedder":[4.0,5.0]}},{"id":3,"doggo":"marcel"},{"id":4,"doggo":"sora"}]"###);
let conf = index.embedding_configs(&rtxn).unwrap();
// even though we specified the vector for the ID 3, it shouldn't be marked
// as user provided since we explicitely marked it as NOT user provided.
snapshot!(format!("{conf:#?}"), @r###"
@@ -483,28 +426,19 @@ fn import_vectors_first_and_embedder_later() {
},
quantized: None,
},
fragments: FragmentConfigs(
[],
),
user_provided: RoaringBitmap<[1, 2]>,
},
]
"###);
let info =
index.embedding_configs().embedder_info(&rtxn, "my_doggo_embedder").unwrap().unwrap();
insta::assert_snapshot!(info.embedder_id, @"0");
insta::assert_debug_snapshot!(info.embedding_status.user_provided_docids(), @"RoaringBitmap<[1, 2, 3]>");
insta::assert_debug_snapshot!(info.embedding_status.skip_regenerate_docids(), @"RoaringBitmap<[1, 2]>");
let docid = index.external_documents_ids.get(&rtxn, "0").unwrap().unwrap();
let embeddings = index.embeddings(&rtxn, docid).unwrap();
let EmbeddingsWithMetadata { embeddings, .. } = &embeddings["my_doggo_embedder"];
assert!(!embeddings.is_empty(), "{embeddings:?}");
let embedding = &embeddings["my_doggo_embedder"];
assert!(!embedding.is_empty(), "{embedding:?}");
// the document with the id 3 should keep its original embedding
let docid = index.external_documents_ids.get(&rtxn, "3").unwrap().unwrap();
let embeddings = index.embeddings(&rtxn, docid).unwrap();
let EmbeddingsWithMetadata { embeddings, .. } = &embeddings["my_doggo_embedder"];
let embeddings = &embeddings["my_doggo_embedder"];
snapshot!(embeddings.len(), @"1");
assert!(embeddings[0].iter().all(|i| *i == 3.0), "{:?}", embeddings[0]);
@@ -559,7 +493,7 @@ fn import_vectors_first_and_embedder_later() {
"###);
let embeddings = index.embeddings(&rtxn, docid).unwrap();
let EmbeddingsWithMetadata { embeddings: embedding, .. } = &embeddings["my_doggo_embedder"];
let embedding = &embeddings["my_doggo_embedder"];
assert!(!embedding.is_empty());
assert!(!embedding[0].iter().all(|i| *i == 3.0), "{:?}", embedding[0]);
@@ -567,7 +501,7 @@ fn import_vectors_first_and_embedder_later() {
// the document with the id 4 should generate an embedding
let docid = index.external_documents_ids.get(&rtxn, "4").unwrap().unwrap();
let embeddings = index.embeddings(&rtxn, docid).unwrap();
let EmbeddingsWithMetadata { embeddings: embedding, .. } = &embeddings["my_doggo_embedder"];
let embedding = &embeddings["my_doggo_embedder"];
assert!(!embedding.is_empty());
}
@@ -669,35 +603,33 @@ fn delete_document_containing_vector() {
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.collect::<Vec<_>>();
snapshot!(serde_json::to_string(&documents).unwrap(), @r###"[{"id":0,"doggo":"kefir"}]"###);
let conf = index.embedding_configs().embedding_configs(&rtxn).unwrap();
let conf = index.embedding_configs(&rtxn).unwrap();
snapshot!(format!("{conf:#?}"), @r###"
[
IndexEmbeddingConfig {
name: "manual",
config: EmbeddingConfig {
embedder_options: UserProvided(
EmbedderOptions {
dimensions: 3,
distribution: None,
},
),
prompt: PromptData {
template: "{% for field in fields %}{% if field.is_searchable and field.value != nil %}{{ field.name }}: {{ field.value }}\n{% endif %}{% endfor %}",
max_bytes: Some(
400,
[
IndexEmbeddingConfig {
name: "manual",
config: EmbeddingConfig {
embedder_options: UserProvided(
EmbedderOptions {
dimensions: 3,
distribution: None,
},
),
prompt: PromptData {
template: "{% for field in fields %}{% if field.is_searchable and field.value != nil %}{{ field.name }}: {{ field.value }}\n{% endif %}{% endfor %}",
max_bytes: Some(
400,
),
},
quantized: None,
},
quantized: None,
user_provided: RoaringBitmap<[0]>,
},
fragments: FragmentConfigs(
[],
),
},
]
"###);
]
"###);
let docid = index.external_documents_ids.get(&rtxn, "0").unwrap().unwrap();
let embeddings = index.embeddings(&rtxn, docid).unwrap();
let EmbeddingsWithMetadata { embeddings: embedding, .. } = &embeddings["manual"];
let embedding = &embeddings["manual"];
assert!(!embedding.is_empty(), "{embedding:?}");
index_scheduler
@@ -715,32 +647,30 @@ fn delete_document_containing_vector() {
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.collect::<Vec<_>>();
snapshot!(serde_json::to_string(&documents).unwrap(), @"[]");
let conf = index.embedding_configs().embedding_configs(&rtxn).unwrap();
let conf = index.embedding_configs(&rtxn).unwrap();
snapshot!(format!("{conf:#?}"), @r###"
[
IndexEmbeddingConfig {
name: "manual",
config: EmbeddingConfig {
embedder_options: UserProvided(
EmbedderOptions {
dimensions: 3,
distribution: None,
},
),
prompt: PromptData {
template: "{% for field in fields %}{% if field.is_searchable and field.value != nil %}{{ field.name }}: {{ field.value }}\n{% endif %}{% endfor %}",
max_bytes: Some(
400,
[
IndexEmbeddingConfig {
name: "manual",
config: EmbeddingConfig {
embedder_options: UserProvided(
EmbedderOptions {
dimensions: 3,
distribution: None,
},
),
prompt: PromptData {
template: "{% for field in fields %}{% if field.is_searchable and field.value != nil %}{{ field.name }}: {{ field.value }}\n{% endif %}{% endfor %}",
max_bytes: Some(
400,
),
},
quantized: None,
},
quantized: None,
user_provided: RoaringBitmap<[]>,
},
fragments: FragmentConfigs(
[],
),
},
]
"###);
]
"###);
}
#[test]
@@ -870,7 +800,7 @@ fn delete_embedder_with_user_provided_vectors() {
.unwrap()
.map(|ret| obkv_to_json(&field_ids, &field_ids_map, ret.unwrap().1).unwrap())
.collect::<Vec<_>>();
snapshot!(serde_json::to_string(&documents).unwrap(), @r###"[{"id":0,"doggo":"kefir","_vectors":{"manual":{"regenerate":false,"embeddings":[[0.0,0.0,0.0]]}}},{"id":1,"doggo":"intel","_vectors":{"manual":{"regenerate":false,"embeddings":[[1.0,1.0,1.0]]}}}]"###);
snapshot!(serde_json::to_string(&documents).unwrap(), @r###"[{"id":0,"doggo":"kefir","_vectors":{"manual":{"embeddings":[[0.0,0.0,0.0]],"regenerate":false}}},{"id":1,"doggo":"intel","_vectors":{"manual":{"embeddings":[[1.0,1.0,1.0]],"regenerate":false}}}]"###);
}
{
@@ -905,6 +835,6 @@ fn delete_embedder_with_user_provided_vectors() {
.collect::<Vec<_>>();
// FIXME: redaction
snapshot!(json_string!(serde_json::to_string(&documents).unwrap(), { "[]._vectors.doggo_embedder.embeddings" => "[vector]" }), @r###""[{\"id\":0,\"doggo\":\"kefir\",\"_vectors\":{\"manual\":{\"regenerate\":false,\"embeddings\":[[0.0,0.0,0.0]]},\"my_doggo_embedder\":{\"regenerate\":false,\"embeddings\":[[1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0]]}}},{\"id\":1,\"doggo\":\"intel\",\"_vectors\":{\"manual\":{\"regenerate\":false,\"embeddings\":[[1.0,1.0,1.0]]}}}]""###);
snapshot!(json_string!(serde_json::to_string(&documents).unwrap(), { "[]._vectors.doggo_embedder.embeddings" => "[vector]" }), @r###""[{\"id\":0,\"doggo\":\"kefir\",\"_vectors\":{\"manual\":{\"embeddings\":[[0.0,0.0,0.0]],\"regenerate\":false},\"my_doggo_embedder\":{\"embeddings\":[[1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0]],\"regenerate\":false}}},{\"id\":1,\"doggo\":\"intel\",\"_vectors\":{\"manual\":{\"embeddings\":[[1.0,1.0,1.0]],\"regenerate\":false}}}]""###);
}
}

View File

@@ -37,7 +37,6 @@ pub(crate) enum FailureLocation {
InsideCreateBatch,
InsideProcessBatch,
PanicInsideProcessBatch,
ProcessExport,
ProcessUpgrade,
AcquiringWtxn,
UpdatingTaskAfterProcessBatchSuccess { task_uid: u32 },

View File

@@ -1,9 +1,7 @@
//! Utility functions on the DBs. Mainly getter and setters.
use crate::milli::progress::EmbedderStats;
use std::collections::{BTreeSet, HashSet};
use std::ops::Bound;
use std::sync::Arc;
use meilisearch_types::batches::{Batch, BatchEnqueuedAt, BatchId, BatchStats};
use meilisearch_types::heed::{Database, RoTxn, RwTxn};
@@ -29,7 +27,6 @@ pub struct ProcessingBatch {
pub uid: BatchId,
pub details: DetailsView,
pub stats: BatchStats,
pub embedder_stats: Arc<EmbedderStats>,
pub statuses: HashSet<Status>,
pub kinds: HashSet<Kind>,
@@ -51,7 +48,6 @@ impl ProcessingBatch {
uid,
details: DetailsView::default(),
stats: BatchStats::default(),
embedder_stats: Default::default(),
statuses,
kinds: HashSet::default(),
@@ -150,7 +146,6 @@ impl ProcessingBatch {
progress: None,
details: self.details.clone(),
stats: self.stats.clone(),
embedder_stats: self.embedder_stats.as_ref().into(),
started_at: self.started_at,
finished_at: self.finished_at,
enqueued_at: self.enqueued_at,
@@ -278,7 +273,6 @@ pub fn swap_index_uid_in_task(task: &mut Task, swap: (&str, &str)) {
K::TaskCancelation { .. }
| K::TaskDeletion { .. }
| K::DumpCreation { .. }
| K::Export { .. }
| K::UpgradeDatabase { .. }
| K::SnapshotCreation => (),
};
@@ -606,9 +600,6 @@ impl crate::IndexScheduler {
Details::Dump { dump_uid: _ } => {
assert_eq!(kind.as_kind(), Kind::DumpCreation);
}
Details::Export { url: _, api_key: _, payload_size: _, indexes: _ } => {
assert_eq!(kind.as_kind(), Kind::Export);
}
Details::UpgradeDatabase { from: _, to: _ } => {
assert_eq!(kind.as_kind(), Kind::UpgradeDatabase);
}

View File

@@ -15,7 +15,7 @@ license.workspace = true
serde_json = "1.0"
[dev-dependencies]
criterion = "0.6.0"
criterion = "0.5.1"
[[bench]]
name = "depth"

View File

@@ -14,6 +14,4 @@ license.workspace = true
# fixed version due to format breakages in v1.40
insta = { version = "=1.39.0", features = ["json", "redactions"] }
md5 = "0.7.0"
once_cell = "1.21"
regex-lite = "0.1.6"
uuid = { version = "1.17.0", features = ["v4"] }
once_cell = "1.20"

View File

@@ -4,16 +4,9 @@ use std::path::{Path, PathBuf};
use std::sync::Mutex;
pub use insta;
use insta::internals::{Content, ContentPath};
use once_cell::sync::Lazy;
use regex_lite::Regex;
static SNAPSHOT_NAMES: Lazy<Mutex<HashMap<PathBuf, usize>>> = Lazy::new(Mutex::default);
/// A regex to match UUIDs in messages, specifically looking for the UUID v4 format
static UUID_IN_MESSAGE_RE: Lazy<Regex> = Lazy::new(|| {
Regex::new(r"[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}")
.unwrap()
});
/// Return the md5 hash of the given string
pub fn hash_snapshot(snap: &str) -> String {
@@ -33,39 +26,6 @@ pub fn default_snapshot_settings_for_test<'a>(
let filename = path.file_name().unwrap().to_str().unwrap();
settings.set_omit_expression(true);
fn uuid_in_message_redaction(content: Content, _content_path: ContentPath) -> Content {
match &content {
Content::String(s) => {
let uuid_replaced = UUID_IN_MESSAGE_RE.replace_all(s, "[uuid]");
Content::String(uuid_replaced.to_string())
}
_ => content,
}
}
fn uuid_in_json_key_redaction(content: Content, _content_path: ContentPath) -> Content {
match content {
Content::Map(map) => {
let new_map = map
.iter()
.map(|(key, value)| match key {
Content::String(s) => {
let uuid_replaced = UUID_IN_MESSAGE_RE.replace_all(s, "[uuid]");
(Content::String(uuid_replaced.to_string()), value.clone())
}
_ => (key.clone(), value.clone()),
})
.collect();
Content::Map(new_map)
}
_ => content,
}
}
settings.add_dynamic_redaction(".**.message", uuid_in_message_redaction);
settings.add_dynamic_redaction(".**.indexUid", uuid_in_message_redaction);
settings.add_dynamic_redaction(".**.facetsByIndex", uuid_in_json_key_redaction);
let test_name = test_name.strip_suffix("::{{closure}}").unwrap_or(test_name);
let test_name = test_name.rsplit("::").next().unwrap().to_owned();
@@ -272,9 +232,6 @@ macro_rules! json_string {
#[cfg(test)]
mod tests {
use crate as meili_snap;
use crate::UUID_IN_MESSAGE_RE;
use uuid::Uuid;
#[test]
fn snap() {
snapshot_hash!(10, @"d3d9446802a44259755d38e6d163e820");
@@ -322,14 +279,4 @@ mod tests {
// snapshot_hash!("", name: "", @"d41d8cd98f00b204e9800998ecf8427e");
}
}
#[test]
fn uuid_in_message_regex() {
let uuid1 = Uuid::new_v4();
let uuid2 = Uuid::new_v4();
let uuid3 = Uuid::new_v4();
let to_replace = format!("1 {uuid1} 2 {uuid2} 3 {uuid3} 4");
let replaced = UUID_IN_MESSAGE_RE.replace_all(to_replace.as_str(), "[uuid]");
assert_eq!(replaced, "1 [uuid] 2 [uuid] 3 [uuid] 4");
}
}

View File

@@ -17,10 +17,10 @@ hmac = "0.12.1"
maplit = "1.0.2"
meilisearch-types = { path = "../meilisearch-types" }
rand = "0.8.5"
roaring = { version = "0.10.12", features = ["serde"] }
serde = { version = "1.0.219", features = ["derive"] }
serde_json = { version = "1.0.140", features = ["preserve_order"] }
sha2 = "0.10.9"
thiserror = "2.0.12"
time = { version = "0.3.41", features = ["serde-well-known", "formatting", "parsing", "macros"] }
uuid = { version = "1.17.0", features = ["serde", "v4"] }
roaring = { version = "0.10.10", features = ["serde"] }
serde = { version = "1.0.217", features = ["derive"] }
serde_json = { version = "1.0.135", features = ["preserve_order"] }
sha2 = "0.10.8"
thiserror = "2.0.9"
time = { version = "0.3.37", features = ["serde-well-known", "formatting", "parsing", "macros"] }
uuid = { version = "1.11.0", features = ["serde", "v4"] }

View File

@@ -158,7 +158,7 @@ impl AuthController {
self.store.delete_all_keys()
}
/// Insert a key directly into the store.
/// Delete all the keys in the DB.
pub fn raw_insert_key(&mut self, key: Key) -> Result<()> {
self.store.put_api_key(key)?;
Ok(())
@@ -351,7 +351,6 @@ pub struct IndexSearchRules {
fn generate_default_keys(store: &HeedAuthStore) -> Result<()> {
store.put_api_key(Key::default_chat())?;
store.put_api_key(Key::default_read_only_admin())?;
store.put_api_key(Key::default_admin())?;
store.put_api_key(Key::default_search())?;

View File

@@ -88,13 +88,7 @@ impl HeedAuthStore {
let mut actions = HashSet::new();
for action in &key.actions {
match action {
Action::All => {
actions.extend(enum_iterator::all::<Action>());
actions.remove(&Action::AllGet);
}
Action::AllGet => {
actions.extend(enum_iterator::all::<Action>().filter(|a| a.is_read()))
}
Action::All => actions.extend(enum_iterator::all::<Action>()),
Action::DocumentsAll => {
actions.extend(
[Action::DocumentsGet, Action::DocumentsDelete, Action::DocumentsAdd]

View File

@@ -11,38 +11,37 @@ edition.workspace = true
license.workspace = true
[dependencies]
actix-web = { version = "4.11.0", default-features = false }
anyhow = "1.0.98"
bumpalo = "3.18.1"
actix-web = { version = "4.9.0", default-features = false }
anyhow = "1.0.95"
bumpalo = "3.16.0"
bumparaw-collections = "0.1.4"
byte-unit = { version = "5.1.6", features = ["serde"] }
convert_case = "0.8.0"
convert_case = "0.6.0"
csv = "1.3.1"
deserr = { version = "0.6.3", features = ["actix-web"] }
either = { version = "1.15.0", features = ["serde"] }
either = { version = "1.13.0", features = ["serde"] }
enum-iterator = "2.1.0"
file-store = { path = "../file-store" }
flate2 = "1.1.2"
flate2 = "1.0.35"
fst = "0.4.7"
memmap2 = "0.9.7"
memmap2 = "0.9.5"
milli = { path = "../milli" }
roaring = { version = "0.10.12", features = ["serde"] }
rustc-hash = "2.1.1"
serde = { version = "1.0.219", features = ["derive"] }
roaring = { version = "0.10.10", features = ["serde"] }
rustc-hash = "2.1.0"
serde = { version = "1.0.217", features = ["derive"] }
serde-cs = "0.2.4"
serde_json = { version = "1.0.140", features = ["preserve_order"] }
tar = "0.4.44"
tempfile = "3.20.0"
thiserror = "2.0.12"
time = { version = "0.3.41", features = [
serde_json = { version = "1.0.135", features = ["preserve_order"] }
tar = "0.4.43"
tempfile = "3.15.0"
thiserror = "2.0.9"
time = { version = "0.3.37", features = [
"serde-well-known",
"formatting",
"parsing",
"macros",
] }
tokio = "1.45"
utoipa = { version = "5.4.0", features = ["macros"] }
uuid = { version = "1.17.0", features = ["serde", "v4"] }
tokio = "1.43"
utoipa = { version = "5.3.1", features = ["macros"] }
uuid = { version = "1.11.0", features = ["serde", "v4"] }
[dev-dependencies]
# fixed version due to format breakages in v1.40

View File

@@ -3,7 +3,7 @@ use serde::Serialize;
use time::{Duration, OffsetDateTime};
use utoipa::ToSchema;
use crate::batches::{Batch, BatchId, BatchStats, EmbedderStatsView};
use crate::batches::{Batch, BatchId, BatchStats};
use crate::task_view::DetailsView;
use crate::tasks::serialize_duration;
@@ -14,7 +14,7 @@ pub struct BatchView {
pub uid: BatchId,
pub progress: Option<ProgressView>,
pub details: DetailsView,
pub stats: BatchStatsView,
pub stats: BatchStats,
#[serde(serialize_with = "serialize_duration", default)]
pub duration: Option<Duration>,
#[serde(with = "time::serde::rfc3339", default)]
@@ -25,26 +25,13 @@ pub struct BatchView {
pub batch_strategy: String,
}
#[derive(Debug, Clone, Serialize, ToSchema)]
#[serde(rename_all = "camelCase")]
#[schema(rename_all = "camelCase")]
pub struct BatchStatsView {
#[serde(flatten)]
pub stats: BatchStats,
#[serde(skip_serializing_if = "EmbedderStatsView::skip_serializing", default)]
pub embedder_requests: EmbedderStatsView,
}
impl BatchView {
pub fn from_batch(batch: &Batch) -> Self {
Self {
uid: batch.uid,
progress: batch.progress.clone(),
details: batch.details.clone(),
stats: BatchStatsView {
stats: batch.stats.clone(),
embedder_requests: batch.embedder_stats.clone(),
},
stats: batch.stats.clone(),
duration: batch.finished_at.map(|finished_at| finished_at - batch.started_at),
started_at: batch.started_at,
finished_at: batch.finished_at,

View File

@@ -1,6 +1,6 @@
use std::collections::BTreeMap;
use milli::progress::{EmbedderStats, ProgressView};
use milli::progress::ProgressView;
use serde::{Deserialize, Serialize};
use time::OffsetDateTime;
use utoipa::ToSchema;
@@ -19,8 +19,6 @@ pub struct Batch {
pub progress: Option<ProgressView>,
pub details: DetailsView,
pub stats: BatchStats,
#[serde(skip_serializing_if = "EmbedderStatsView::skip_serializing", default)]
pub embedder_stats: EmbedderStatsView,
#[serde(with = "time::serde::rfc3339")]
pub started_at: OffsetDateTime,
@@ -45,7 +43,6 @@ impl PartialEq for Batch {
progress,
details,
stats,
embedder_stats,
started_at,
finished_at,
enqueued_at,
@@ -56,7 +53,6 @@ impl PartialEq for Batch {
&& progress.is_none() == other.progress.is_none()
&& details == &other.details
&& stats == &other.stats
&& embedder_stats == &other.embedder_stats
&& started_at == &other.started_at
&& finished_at == &other.finished_at
&& enqueued_at == &other.enqueued_at
@@ -87,30 +83,3 @@ pub struct BatchStats {
#[serde(default, skip_serializing_if = "serde_json::Map::is_empty")]
pub internal_database_sizes: serde_json::Map<String, serde_json::Value>,
}
#[derive(Default, Debug, Clone, PartialEq, Eq, Serialize, Deserialize, ToSchema)]
#[serde(rename_all = "camelCase")]
#[schema(rename_all = "camelCase")]
pub struct EmbedderStatsView {
pub total: usize,
pub failed: usize,
#[serde(skip_serializing_if = "Option::is_none", default)]
pub last_error: Option<String>,
}
impl From<&EmbedderStats> for EmbedderStatsView {
fn from(stats: &EmbedderStats) -> Self {
let errors = stats.errors.read().unwrap_or_else(|p| p.into_inner());
Self {
total: stats.total_count.load(std::sync::atomic::Ordering::Relaxed),
failed: errors.1 as usize,
last_error: errors.0.clone(),
}
}
}
impl EmbedderStatsView {
pub fn skip_serializing(&self) -> bool {
self.total == 0 && self.failed == 0 && self.last_error.is_none()
}
}

View File

@@ -237,7 +237,6 @@ InvalidDocumentRetrieveVectors , InvalidRequest , BAD_REQU
MissingDocumentFilter , InvalidRequest , BAD_REQUEST ;
MissingDocumentEditionFunction , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentSort , InvalidRequest , BAD_REQUEST ;
InvalidDocumentGeoField , InvalidRequest , BAD_REQUEST ;
InvalidVectorDimensions , InvalidRequest , BAD_REQUEST ;
InvalidVectorsType , InvalidRequest , BAD_REQUEST ;
@@ -302,7 +301,6 @@ InvalidFacetSearchQuery , InvalidRequest , BAD_REQU
InvalidFacetSearchName , InvalidRequest , BAD_REQUEST ;
FacetSearchDisabled , InvalidRequest , BAD_REQUEST ;
InvalidSearchVector , InvalidRequest , BAD_REQUEST ;
InvalidSearchMedia , InvalidRequest , BAD_REQUEST ;
InvalidSearchShowMatchesPosition , InvalidRequest , BAD_REQUEST ;
InvalidSearchShowRankingScore , InvalidRequest , BAD_REQUEST ;
InvalidSimilarShowRankingScore , InvalidRequest , BAD_REQUEST ;
@@ -310,7 +308,6 @@ InvalidSearchShowRankingScoreDetails , InvalidRequest , BAD_REQU
InvalidSimilarShowRankingScoreDetails , InvalidRequest , BAD_REQUEST ;
InvalidSearchSort , InvalidRequest , BAD_REQUEST ;
InvalidSearchDistinct , InvalidRequest , BAD_REQUEST ;
InvalidSearchMediaAndVector , InvalidRequest , BAD_REQUEST ;
InvalidSettingsDisplayedAttributes , InvalidRequest , BAD_REQUEST ;
InvalidSettingsDistinctAttribute , InvalidRequest , BAD_REQUEST ;
InvalidSettingsProximityPrecision , InvalidRequest , BAD_REQUEST ;
@@ -392,13 +389,6 @@ InvalidDocumentEditionContext , InvalidRequest , BAD_REQU
InvalidDocumentEditionFunctionFilter , InvalidRequest , BAD_REQUEST ;
EditDocumentsByFunctionError , InvalidRequest , BAD_REQUEST ;
InvalidSettingsIndexChat , InvalidRequest , BAD_REQUEST ;
// Export
InvalidExportUrl , InvalidRequest , BAD_REQUEST ;
InvalidExportApiKey , InvalidRequest , BAD_REQUEST ;
InvalidExportPayloadSize , InvalidRequest , BAD_REQUEST ;
InvalidExportIndexesPatterns , InvalidRequest , BAD_REQUEST ;
InvalidExportIndexFilter , InvalidRequest , BAD_REQUEST ;
InvalidExportIndexOverrideSettings , InvalidRequest , BAD_REQUEST ;
// Experimental features - Chat Completions
UnimplementedExternalFunctionCalling , InvalidRequest , NOT_IMPLEMENTED ;
UnimplementedNonStreamingChatCompletions , InvalidRequest , NOT_IMPLEMENTED ;
@@ -416,7 +406,6 @@ InvalidChatCompletionPrompts , InvalidRequest , BAD_REQU
InvalidChatCompletionSystemPrompt , InvalidRequest , BAD_REQUEST ;
InvalidChatCompletionSearchDescriptionPrompt , InvalidRequest , BAD_REQUEST ;
InvalidChatCompletionSearchQueryParamPrompt , InvalidRequest , BAD_REQUEST ;
InvalidChatCompletionSearchFilterParamPrompt , InvalidRequest , BAD_REQUEST ;
InvalidChatCompletionSearchIndexUidParamPrompt , InvalidRequest , BAD_REQUEST ;
InvalidChatCompletionPreQueryPrompt , InvalidRequest , BAD_REQUEST
}
@@ -468,7 +457,6 @@ impl ErrorCode for milli::Error {
| UserError::MissingSourceForNested { .. }
| UserError::InvalidSettingsEmbedder { .. } => Code::InvalidSettingsEmbedders,
UserError::TooManyEmbedders(_) => Code::InvalidSettingsEmbedders,
UserError::TooManyFragments(_) => Code::InvalidSettingsEmbedders,
UserError::InvalidPromptForEmbeddings(..) => Code::InvalidSettingsEmbedders,
UserError::NoPrimaryKeyCandidateFound => Code::IndexPrimaryKeyNoCandidateFound,
UserError::MultiplePrimaryKeyCandidatesFound { .. } => {
@@ -478,8 +466,7 @@ impl ErrorCode for milli::Error {
UserError::InvalidDistinctAttribute { .. } => Code::InvalidSearchDistinct,
UserError::SortRankingRuleMissing => Code::InvalidSearchSort,
UserError::InvalidFacetsDistribution { .. } => Code::InvalidSearchFacets,
UserError::InvalidSearchSortableAttribute { .. } => Code::InvalidSearchSort,
UserError::InvalidDocumentSortableAttribute { .. } => Code::InvalidDocumentSort,
UserError::InvalidSortableAttribute { .. } => Code::InvalidSearchSort,
UserError::InvalidSearchableAttribute { .. } => {
Code::InvalidSearchAttributesToSearchOn
}
@@ -495,8 +482,7 @@ impl ErrorCode for milli::Error {
UserError::InvalidVectorsMapType { .. }
| UserError::InvalidVectorsEmbedderConf { .. } => Code::InvalidVectorsType,
UserError::TooManyVectors(_, _) => Code::TooManyVectors,
UserError::SortError { search: true, .. } => Code::InvalidSearchSort,
UserError::SortError { search: false, .. } => Code::InvalidDocumentSort,
UserError::SortError(_) => Code::InvalidSearchSort,
UserError::InvalidMinTypoWordLenSetting(_, _) => {
Code::InvalidSettingsTypoTolerance
}

View File

@@ -4,11 +4,10 @@ use serde::{Deserialize, Serialize};
use crate::error::{Code, ResponseError};
pub const DEFAULT_CHAT_SYSTEM_PROMPT: &str = "You are a highly capable research assistant with access to powerful search tools. IMPORTANT INSTRUCTIONS:1. When answering questions, you MUST make multiple tool calls (at least 2-3) to gather comprehensive information.2. Use different search queries for each tool call - vary keywords, rephrase questions, and explore different semantic angles to ensure broad coverage.3. Always explicitly announce BEFORE making each tool call by saying: \"I'll search for [specific information] now.\"4. Combine information from ALL tool calls to provide complete, nuanced answers rather than relying on a single source.5. For complex topics, break down your research into multiple targeted queries rather than using a single generic search. Meilisearch doesn't use the colon (:) syntax to filter but rather the equal (=) one. Separate filters from query and keep the q parameter empty if needed. Same for the filter parameter: keep it empty if need be. If you need to find documents that CONTAINS keywords simply put the keywords in the q parameter do no use a filter for this purpose. Whenever you get an error, read the error message and fix your error. ";
pub const DEFAULT_CHAT_SYSTEM_PROMPT: &str = "You are a highly capable research assistant with access to powerful search tools. IMPORTANT INSTRUCTIONS:1. When answering questions, you MUST make multiple tool calls (at least 2-3) to gather comprehensive information.2. Use different search queries for each tool call - vary keywords, rephrase questions, and explore different semantic angles to ensure broad coverage.3. Always explicitly announce BEFORE making each tool call by saying: \"I'll search for [specific information] now.\"4. Combine information from ALL tool calls to provide complete, nuanced answers rather than relying on a single source.5. For complex topics, break down your research into multiple targeted queries rather than using a single generic search.";
pub const DEFAULT_CHAT_SEARCH_DESCRIPTION_PROMPT: &str =
"Query: 'best story about Rust before 2018' with year: 2018, 2020, 2021\nlabel: analysis, golang, javascript\ntype: story, link\nvote: 300, 298, 278\n: {\"q\": \"\", \"filter\": \"category = Rust AND type = story AND year < 2018 AND vote > 100\"}\nQuery: 'A black or green car that can go fast with red brakes' with maxspeed_kmh: 200, 150, 130\ncolor: black, grey, red, green\nbrand: Toyota, Renault, Jeep, Ferrari\n: {\"q\": \"red brakes\", \"filter\": \"maxspeed_kmh > 150 AND color IN ['black', green]\"}\nQuery: 'Superman movie released in 2018 or after' with year: 2018, 2020, 2021\ngenres: Drama, Comedy, Adventure, Fiction\n: {\"q\":\"Superman\",\"filter\":\"genres IN [Adventure, Fiction] AND year >= 2018\"}";
"Search the database for relevant JSON documents using an optional query.";
pub const DEFAULT_CHAT_SEARCH_Q_PARAM_PROMPT: &str = "The search query string used to find relevant documents in the index. This should contain keywords or phrases that best represent what the user is looking for. More specific queries will yield more precise results.";
pub const DEFAULT_CHAT_SEARCH_FILTER_PARAM_PROMPT: &str = "The search filter string used to find relevant documents in the index. It supports parentheses, `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `_geoRadius`, or `_geoBoundingBox`. Here is an example: \"price > 100 AND category = 'electronics'\". The following is a list of fields that can be filtered on: ";
pub const DEFAULT_CHAT_SEARCH_INDEX_UID_PARAM_PROMPT: &str = "The name of the index to search within. An index is a collection of documents organized for search. Selecting the right index ensures the most relevant results for the user query.";
#[derive(Serialize, Deserialize, Debug, Clone, Copy, Default, PartialEq, Eq)]
@@ -22,7 +21,6 @@ pub struct RuntimeTogglableFeatures {
pub get_task_documents_route: bool,
pub composite_embedders: bool,
pub chat_completions: bool,
pub multimodal: bool,
}
#[derive(Default, Debug, Clone, Copy)]
@@ -116,6 +114,7 @@ pub enum ChatCompletionSource {
OpenAi,
AzureOpenAi,
Mistral,
Gemini,
VLlm,
}
@@ -135,6 +134,7 @@ impl ChatCompletionSource {
AzureOpenAi if Self::old_openai_model(model) => System,
AzureOpenAi => Developer,
Mistral => System,
Gemini => System,
VLlm => System,
}
}
@@ -154,6 +154,7 @@ impl ChatCompletionSource {
match self {
OpenAi => Some("https://api.openai.com/v1/"),
Mistral => Some("https://api.mistral.ai/v1/"),
Gemini => Some("https://generativelanguage.googleapis.com/v1beta/openai/"),
AzureOpenAi | VLlm => None,
}
}
@@ -162,31 +163,18 @@ impl ChatCompletionSource {
#[derive(Serialize, Deserialize, Debug, Clone, PartialEq, Eq)]
#[serde(rename_all = "camelCase")]
pub struct ChatCompletionPrompts {
#[serde(default)]
pub system: String,
#[serde(default)]
pub search_description: String,
#[serde(default)]
pub search_q_param: String,
#[serde(default = "default_search_filter_param")]
pub search_filter_param: String,
#[serde(default)]
pub search_index_uid_param: String,
}
/// This function is used for when the search_filter_param is
/// not provided and this can happen when the database is in v1.15.
fn default_search_filter_param() -> String {
DEFAULT_CHAT_SEARCH_FILTER_PARAM_PROMPT.to_string()
}
impl Default for ChatCompletionPrompts {
fn default() -> Self {
Self {
system: DEFAULT_CHAT_SYSTEM_PROMPT.to_string(),
search_description: DEFAULT_CHAT_SEARCH_DESCRIPTION_PROMPT.to_string(),
search_q_param: DEFAULT_CHAT_SEARCH_Q_PARAM_PROMPT.to_string(),
search_filter_param: DEFAULT_CHAT_SEARCH_FILTER_PARAM_PROMPT.to_string(),
search_index_uid_param: DEFAULT_CHAT_SEARCH_INDEX_UID_PARAM_PROMPT.to_string(),
}
}

View File

@@ -12,7 +12,7 @@ use crate::index_uid::{IndexUid, IndexUidFormatError};
/// An index uid pattern is composed of only ascii alphanumeric characters, - and _, between 1 and 400
/// bytes long and optionally ending with a *.
#[derive(Serialize, Deserialize, Deserr, Debug, Clone, PartialEq, Eq, PartialOrd, Ord, Hash)]
#[derive(Serialize, Deserialize, Deserr, Debug, Clone, PartialEq, Eq, Hash)]
#[deserr(try_from(&String) = FromStr::from_str -> IndexUidPatternFormatError)]
pub struct IndexUidPattern(String);

View File

@@ -144,21 +144,6 @@ impl Key {
}
}
pub fn default_read_only_admin() -> Self {
let now = OffsetDateTime::now_utc();
let uid = Uuid::new_v4();
Self {
name: Some("Default Read-Only Admin API Key".to_string()),
description: Some("Use it to read information across the whole database. Caution! Do not expose this key on a public frontend".to_string()),
uid,
actions: vec![Action::AllGet, Action::KeysGet],
indexes: vec![IndexUidPattern::all()],
expires_at: None,
created_at: now,
updated_at: now,
}
}
pub fn default_search() -> Self {
let now = OffsetDateTime::now_utc();
let uid = Uuid::new_v4();
@@ -332,9 +317,6 @@ pub enum Action {
#[serde(rename = "experimental.update")]
#[deserr(rename = "experimental.update")]
ExperimentalFeaturesUpdate,
#[serde(rename = "export")]
#[deserr(rename = "export")]
Export,
#[serde(rename = "network.get")]
#[deserr(rename = "network.get")]
NetworkGet,
@@ -362,9 +344,6 @@ pub enum Action {
#[serde(rename = "chatsSettings.update")]
#[deserr(rename = "chatsSettings.update")]
ChatsSettingsUpdate,
#[serde(rename = "*.get")]
#[deserr(rename = "*.get")]
AllGet,
}
impl Action {
@@ -403,7 +382,6 @@ impl Action {
METRICS_GET => Some(Self::MetricsGet),
DUMPS_ALL => Some(Self::DumpsAll),
DUMPS_CREATE => Some(Self::DumpsCreate),
SNAPSHOTS_ALL => Some(Self::SnapshotsAll),
SNAPSHOTS_CREATE => Some(Self::SnapshotsCreate),
VERSION => Some(Self::Version),
KEYS_CREATE => Some(Self::KeysAdd),
@@ -412,60 +390,12 @@ impl Action {
KEYS_DELETE => Some(Self::KeysDelete),
EXPERIMENTAL_FEATURES_GET => Some(Self::ExperimentalFeaturesGet),
EXPERIMENTAL_FEATURES_UPDATE => Some(Self::ExperimentalFeaturesUpdate),
EXPORT => Some(Self::Export),
NETWORK_GET => Some(Self::NetworkGet),
NETWORK_UPDATE => Some(Self::NetworkUpdate),
ALL_GET => Some(Self::AllGet),
_otherwise => None,
}
}
/// Whether the action should be included in [Action::AllRead].
pub fn is_read(&self) -> bool {
use Action::*;
// It's using an exhaustive match to force the addition of new actions.
match self {
// Any action that expands to others must return false, as it wouldn't be able to expand recursively.
All | AllGet | DocumentsAll | IndexesAll | ChatsAll | TasksAll | SettingsAll
| StatsAll | MetricsAll | DumpsAll | SnapshotsAll | ChatsSettingsAll => false,
Search => true,
DocumentsAdd => false,
DocumentsGet => true,
DocumentsDelete => false,
Export => true,
IndexesAdd => false,
IndexesGet => true,
IndexesUpdate => false,
IndexesDelete => false,
IndexesSwap => false,
TasksCancel => false,
TasksDelete => false,
TasksGet => true,
SettingsGet => true,
SettingsUpdate => false,
StatsGet => true,
MetricsGet => true,
DumpsCreate => false,
SnapshotsCreate => false,
Version => true,
KeysAdd => false,
KeysGet => false, // Disabled in order to prevent privilege escalation
KeysUpdate => false,
KeysDelete => false,
ExperimentalFeaturesGet => true,
ExperimentalFeaturesUpdate => false,
NetworkGet => true,
NetworkUpdate => false,
ChatCompletions => false, // Disabled because it might trigger generation of new chats
ChatsGet => true,
ChatsDelete => false,
ChatsSettingsGet => true,
ChatsSettingsUpdate => false,
}
}
pub const fn repr(&self) -> u8 {
*self as u8
}
@@ -475,7 +405,6 @@ pub mod actions {
use super::Action::*;
pub(crate) const ALL: u8 = All.repr();
pub const ALL_GET: u8 = AllGet.repr();
pub const SEARCH: u8 = Search.repr();
pub const DOCUMENTS_ALL: u8 = DocumentsAll.repr();
pub const DOCUMENTS_ADD: u8 = DocumentsAdd.repr();
@@ -500,7 +429,6 @@ pub mod actions {
pub const METRICS_GET: u8 = MetricsGet.repr();
pub const DUMPS_ALL: u8 = DumpsAll.repr();
pub const DUMPS_CREATE: u8 = DumpsCreate.repr();
pub const SNAPSHOTS_ALL: u8 = SnapshotsAll.repr();
pub const SNAPSHOTS_CREATE: u8 = SnapshotsCreate.repr();
pub const VERSION: u8 = Version.repr();
pub const KEYS_CREATE: u8 = KeysAdd.repr();
@@ -510,8 +438,6 @@ pub mod actions {
pub const EXPERIMENTAL_FEATURES_GET: u8 = ExperimentalFeaturesGet.repr();
pub const EXPERIMENTAL_FEATURES_UPDATE: u8 = ExperimentalFeaturesUpdate.repr();
pub const EXPORT: u8 = Export.repr();
pub const NETWORK_GET: u8 = NetworkGet.repr();
pub const NETWORK_UPDATE: u8 = NetworkUpdate.repr();
@@ -523,68 +449,3 @@ pub mod actions {
pub const CHATS_SETTINGS_GET: u8 = ChatsSettingsGet.repr();
pub const CHATS_SETTINGS_UPDATE: u8 = ChatsSettingsUpdate.repr();
}
#[cfg(test)]
pub(crate) mod test {
use super::actions::*;
use super::Action::*;
use super::*;
#[test]
fn test_action_repr_and_constants() {
assert!(All.repr() == 0 && ALL == 0);
assert!(Search.repr() == 1 && SEARCH == 1);
assert!(DocumentsAll.repr() == 2 && DOCUMENTS_ALL == 2);
assert!(DocumentsAdd.repr() == 3 && DOCUMENTS_ADD == 3);
assert!(DocumentsGet.repr() == 4 && DOCUMENTS_GET == 4);
assert!(DocumentsDelete.repr() == 5 && DOCUMENTS_DELETE == 5);
assert!(IndexesAll.repr() == 6 && INDEXES_ALL == 6);
assert!(IndexesAdd.repr() == 7 && INDEXES_CREATE == 7);
assert!(IndexesGet.repr() == 8 && INDEXES_GET == 8);
assert!(IndexesUpdate.repr() == 9 && INDEXES_UPDATE == 9);
assert!(IndexesDelete.repr() == 10 && INDEXES_DELETE == 10);
assert!(IndexesSwap.repr() == 11 && INDEXES_SWAP == 11);
assert!(TasksAll.repr() == 12 && TASKS_ALL == 12);
assert!(TasksCancel.repr() == 13 && TASKS_CANCEL == 13);
assert!(TasksDelete.repr() == 14 && TASKS_DELETE == 14);
assert!(TasksGet.repr() == 15 && TASKS_GET == 15);
assert!(SettingsAll.repr() == 16 && SETTINGS_ALL == 16);
assert!(SettingsGet.repr() == 17 && SETTINGS_GET == 17);
assert!(SettingsUpdate.repr() == 18 && SETTINGS_UPDATE == 18);
assert!(StatsAll.repr() == 19 && STATS_ALL == 19);
assert!(StatsGet.repr() == 20 && STATS_GET == 20);
assert!(MetricsAll.repr() == 21 && METRICS_ALL == 21);
assert!(MetricsGet.repr() == 22 && METRICS_GET == 22);
assert!(DumpsAll.repr() == 23 && DUMPS_ALL == 23);
assert!(DumpsCreate.repr() == 24 && DUMPS_CREATE == 24);
assert!(SnapshotsAll.repr() == 25 && SNAPSHOTS_ALL == 25);
assert!(SnapshotsCreate.repr() == 26 && SNAPSHOTS_CREATE == 26);
assert!(Version.repr() == 27 && VERSION == 27);
assert!(KeysAdd.repr() == 28 && KEYS_CREATE == 28);
assert!(KeysGet.repr() == 29 && KEYS_GET == 29);
assert!(KeysUpdate.repr() == 30 && KEYS_UPDATE == 30);
assert!(KeysDelete.repr() == 31 && KEYS_DELETE == 31);
assert!(ExperimentalFeaturesGet.repr() == 32 && EXPERIMENTAL_FEATURES_GET == 32);
assert!(ExperimentalFeaturesUpdate.repr() == 33 && EXPERIMENTAL_FEATURES_UPDATE == 33);
assert!(Export.repr() == 34 && EXPORT == 34);
assert!(NetworkGet.repr() == 35 && NETWORK_GET == 35);
assert!(NetworkUpdate.repr() == 36 && NETWORK_UPDATE == 36);
assert!(ChatCompletions.repr() == 37 && CHAT_COMPLETIONS == 37);
assert!(ChatsAll.repr() == 38 && CHATS_ALL == 38);
assert!(ChatsGet.repr() == 39 && CHATS_GET == 39);
assert!(ChatsDelete.repr() == 40 && CHATS_DELETE == 40);
assert!(ChatsSettingsAll.repr() == 41 && CHATS_SETTINGS_ALL == 41);
assert!(ChatsSettingsGet.repr() == 42 && CHATS_SETTINGS_GET == 42);
assert!(ChatsSettingsUpdate.repr() == 43 && CHATS_SETTINGS_UPDATE == 43);
assert!(AllGet.repr() == 44 && ALL_GET == 44);
}
#[test]
fn test_from_repr() {
for action in enum_iterator::all::<Action>() {
let repr = action.repr();
let action_from_repr = Action::from_repr(repr);
assert_eq!(Some(action), action_from_repr, "Failed for action: {:?}", action);
}
}
}

View File

@@ -18,7 +18,7 @@ pub mod versioning;
pub use milli::{heed, Index};
use uuid::Uuid;
pub use versioning::VERSION_FILE_NAME;
pub use {byte_unit, milli, serde_cs};
pub use {milli, serde_cs};
pub type Document = serde_json::Map<String, serde_json::Value>;
pub type InstanceUid = Uuid;

View File

@@ -9,11 +9,10 @@ use std::str::FromStr;
use deserr::{DeserializeError, Deserr, ErrorKind, MergeWithError, ValuePointerRef};
use fst::IntoStreamer;
use milli::disabled_typos_terms::DisabledTyposTerms;
use milli::index::PrefixSearch;
use milli::index::{IndexEmbeddingConfig, PrefixSearch};
use milli::proximity::ProximityPrecision;
pub use milli::update::ChatSettings;
use milli::update::Setting;
use milli::vector::db::IndexEmbeddingConfig;
use milli::{Criterion, CriterionError, FilterableAttributesRule, Index, DEFAULT_VALUES_PER_FACET};
use serde::{Deserialize, Serialize, Serializer};
use utoipa::ToSchema;
@@ -501,11 +500,8 @@ impl Settings<Unchecked> {
let Setting::Set(mut configs) = self.embedders else { return Ok(self) };
for (name, config) in configs.iter_mut() {
let config_to_check = std::mem::take(config);
let checked_config = milli::update::validate_embedding_settings(
config_to_check.inner,
name,
milli::vector::settings::EmbeddingValidationContext::SettingsPartialUpdate,
)?;
let checked_config =
milli::update::validate_embedding_settings(config_to_check.inner, name)?;
*config = SettingEmbeddingSettings { inner: checked_config };
}
self.embedders = Setting::Set(configs);
@@ -701,7 +697,7 @@ pub fn apply_settings_to_builder(
match typo_tolerance {
Setting::Set(ref value) => {
match value.enabled {
Setting::Set(val) => builder.set_authorize_typos(val),
Setting::Set(val) => builder.set_autorize_typos(val),
Setting::Reset => builder.reset_authorize_typos(),
Setting::NotSet => (),
}
@@ -755,7 +751,6 @@ pub fn apply_settings_to_builder(
builder.reset_min_word_len_two_typos();
builder.reset_exact_words();
builder.reset_exact_attributes();
builder.reset_disable_on_numbers();
}
Setting::NotSet => (),
}
@@ -915,7 +910,6 @@ pub fn settings(
};
let embedders: BTreeMap<_, _> = index
.embedding_configs()
.embedding_configs(rtxn)?
.into_iter()
.map(|IndexEmbeddingConfig { name, config, .. }| {
@@ -974,7 +968,6 @@ pub fn settings(
if let SecretPolicy::HideSecrets = secret_policy {
settings.hide_secrets()
}
Ok(settings)
}

View File

@@ -1,6 +1,3 @@
use std::collections::BTreeMap;
use byte_unit::UnitType;
use milli::Object;
use serde::{Deserialize, Serialize};
use time::{Duration, OffsetDateTime};
@@ -9,9 +6,7 @@ use utoipa::ToSchema;
use crate::batches::BatchId;
use crate::error::ResponseError;
use crate::settings::{Settings, Unchecked};
use crate::tasks::{
serialize_duration, Details, DetailsExportIndexSettings, IndexSwap, Kind, Status, Task, TaskId,
};
use crate::tasks::{serialize_duration, Details, IndexSwap, Kind, Status, Task, TaskId};
#[derive(Debug, Clone, PartialEq, Serialize, ToSchema)]
#[serde(rename_all = "camelCase")]
@@ -123,15 +118,6 @@ pub struct DetailsView {
pub upgrade_from: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub upgrade_to: Option<String>,
// exporting
#[serde(skip_serializing_if = "Option::is_none")]
pub url: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub api_key: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub payload_size: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub indexes: Option<BTreeMap<String, DetailsExportIndexSettings>>,
}
impl DetailsView {
@@ -252,34 +238,6 @@ impl DetailsView {
Some(left)
}
},
url: match (self.url.clone(), other.url.clone()) {
(None, None) => None,
(None, Some(url)) | (Some(url), None) => Some(url),
// We should never be able to batch multiple exports at the same time.
// So we return the first one we encounter but that shouldn't be an issue anyway.
(Some(left), Some(_right)) => Some(left),
},
api_key: match (self.api_key.clone(), other.api_key.clone()) {
(None, None) => None,
(None, Some(key)) | (Some(key), None) => Some(key),
// We should never be able to batch multiple exports at the same time.
// So we return the first one we encounter but that shouldn't be an issue anyway.
(Some(left), Some(_right)) => Some(left),
},
payload_size: match (self.payload_size.clone(), other.payload_size.clone()) {
(None, None) => None,
(None, Some(size)) | (Some(size), None) => Some(size),
// We should never be able to batch multiple exports at the same time.
// So we return the first one we encounter but that shouldn't be an issue anyway.
(Some(left), Some(_right)) => Some(left),
},
indexes: match (self.indexes.clone(), other.indexes.clone()) {
(None, None) => None,
(None, Some(indexes)) | (Some(indexes), None) => Some(indexes),
// We should never be able to batch multiple exports at the same time.
// So we return the first one we encounter but that shouldn't be an issue anyway.
(Some(left), Some(_right)) => Some(left),
},
// We want the earliest version
upgrade_from: match (self.upgrade_from.clone(), other.upgrade_from.clone()) {
(None, None) => None,
@@ -369,22 +327,6 @@ impl From<Details> for DetailsView {
Details::IndexSwap { swaps } => {
DetailsView { swaps: Some(swaps), ..Default::default() }
}
Details::Export { url, api_key, payload_size, indexes } => DetailsView {
url: Some(url),
api_key: api_key.map(|mut api_key| {
hide_secret(&mut api_key);
api_key
}),
payload_size: payload_size
.map(|ps| ps.get_appropriate_unit(UnitType::Both).to_string()),
indexes: Some(
indexes
.into_iter()
.map(|(pattern, settings)| (pattern.to_string(), settings))
.collect(),
),
..Default::default()
},
Details::UpgradeDatabase { from, to } => DetailsView {
upgrade_from: Some(format!("v{}.{}.{}", from.0, from.1, from.2)),
upgrade_to: Some(format!("v{}.{}.{}", to.0, to.1, to.2)),
@@ -393,21 +335,3 @@ impl From<Details> for DetailsView {
}
}
}
// We definitely need to factorize the code to hide the secret key
fn hide_secret(secret: &mut String) {
match secret.len() {
x if x < 10 => {
secret.replace_range(.., "XXX...");
}
x if x < 20 => {
secret.replace_range(2.., "XXXX...");
}
x if x < 30 => {
secret.replace_range(3.., "XXXXX...");
}
_x => {
secret.replace_range(5.., "XXXXXX...");
}
}
}

View File

@@ -1,22 +1,19 @@
use core::fmt;
use std::collections::{BTreeMap, HashSet};
use std::collections::HashSet;
use std::fmt::{Display, Write};
use std::str::FromStr;
use byte_unit::Byte;
use enum_iterator::Sequence;
use milli::update::IndexDocumentsMethod;
use milli::Object;
use roaring::RoaringBitmap;
use serde::{Deserialize, Serialize, Serializer};
use serde_json::Value;
use time::{Duration, OffsetDateTime};
use utoipa::{schema, ToSchema};
use utoipa::ToSchema;
use uuid::Uuid;
use crate::batches::BatchId;
use crate::error::ResponseError;
use crate::index_uid_pattern::IndexUidPattern;
use crate::keys::Key;
use crate::settings::{Settings, Unchecked};
use crate::{versioning, InstanceUid};
@@ -53,7 +50,6 @@ impl Task {
| SnapshotCreation
| TaskCancelation { .. }
| TaskDeletion { .. }
| Export { .. }
| UpgradeDatabase { .. }
| IndexSwap { .. } => None,
DocumentAdditionOrUpdate { index_uid, .. }
@@ -90,7 +86,6 @@ impl Task {
| KindWithContent::TaskDeletion { .. }
| KindWithContent::DumpCreation { .. }
| KindWithContent::SnapshotCreation
| KindWithContent::Export { .. }
| KindWithContent::UpgradeDatabase { .. } => None,
}
}
@@ -113,11 +108,11 @@ pub enum KindWithContent {
},
DocumentDeletionByFilter {
index_uid: String,
filter_expr: Value,
filter_expr: serde_json::Value,
},
DocumentEdition {
index_uid: String,
filter_expr: Option<Value>,
filter_expr: Option<serde_json::Value>,
context: Option<milli::Object>,
function: String,
},
@@ -157,12 +152,6 @@ pub enum KindWithContent {
instance_uid: Option<InstanceUid>,
},
SnapshotCreation,
Export {
url: String,
api_key: Option<String>,
payload_size: Option<Byte>,
indexes: BTreeMap<IndexUidPattern, ExportIndexSettings>,
},
UpgradeDatabase {
from: (u32, u32, u32),
},
@@ -174,13 +163,6 @@ pub struct IndexSwap {
pub indexes: (String, String),
}
#[derive(Debug, Default, Clone, PartialEq, Eq, Serialize, Deserialize, ToSchema)]
#[serde(rename_all = "camelCase")]
pub struct ExportIndexSettings {
pub filter: Option<Value>,
pub override_settings: bool,
}
impl KindWithContent {
pub fn as_kind(&self) -> Kind {
match self {
@@ -198,7 +180,6 @@ impl KindWithContent {
KindWithContent::TaskDeletion { .. } => Kind::TaskDeletion,
KindWithContent::DumpCreation { .. } => Kind::DumpCreation,
KindWithContent::SnapshotCreation => Kind::SnapshotCreation,
KindWithContent::Export { .. } => Kind::Export,
KindWithContent::UpgradeDatabase { .. } => Kind::UpgradeDatabase,
}
}
@@ -211,7 +192,6 @@ impl KindWithContent {
| SnapshotCreation
| TaskCancelation { .. }
| TaskDeletion { .. }
| Export { .. }
| UpgradeDatabase { .. } => vec![],
DocumentAdditionOrUpdate { index_uid, .. }
| DocumentEdition { index_uid, .. }
@@ -289,14 +269,6 @@ impl KindWithContent {
}),
KindWithContent::DumpCreation { .. } => Some(Details::Dump { dump_uid: None }),
KindWithContent::SnapshotCreation => None,
KindWithContent::Export { url, api_key, payload_size, indexes } => {
Some(Details::Export {
url: url.clone(),
api_key: api_key.clone(),
payload_size: *payload_size,
indexes: indexes.iter().map(|(p, s)| (p.clone(), s.clone().into())).collect(),
})
}
KindWithContent::UpgradeDatabase { from } => Some(Details::UpgradeDatabase {
from: (from.0, from.1, from.2),
to: (
@@ -363,14 +335,6 @@ impl KindWithContent {
}),
KindWithContent::DumpCreation { .. } => Some(Details::Dump { dump_uid: None }),
KindWithContent::SnapshotCreation => None,
KindWithContent::Export { url, api_key, payload_size, indexes } => {
Some(Details::Export {
url: url.clone(),
api_key: api_key.clone(),
payload_size: *payload_size,
indexes: indexes.iter().map(|(p, s)| (p.clone(), s.clone().into())).collect(),
})
}
KindWithContent::UpgradeDatabase { from } => Some(Details::UpgradeDatabase {
from: *from,
to: (
@@ -419,14 +383,6 @@ impl From<&KindWithContent> for Option<Details> {
}),
KindWithContent::DumpCreation { .. } => Some(Details::Dump { dump_uid: None }),
KindWithContent::SnapshotCreation => None,
KindWithContent::Export { url, api_key, payload_size, indexes } => {
Some(Details::Export {
url: url.clone(),
api_key: api_key.clone(),
payload_size: *payload_size,
indexes: indexes.iter().map(|(p, s)| (p.clone(), s.clone().into())).collect(),
})
}
KindWithContent::UpgradeDatabase { from } => Some(Details::UpgradeDatabase {
from: *from,
to: (
@@ -543,7 +499,6 @@ pub enum Kind {
TaskDeletion,
DumpCreation,
SnapshotCreation,
Export,
UpgradeDatabase,
}
@@ -561,7 +516,6 @@ impl Kind {
| Kind::TaskCancelation
| Kind::TaskDeletion
| Kind::DumpCreation
| Kind::Export
| Kind::UpgradeDatabase
| Kind::SnapshotCreation => false,
}
@@ -582,7 +536,6 @@ impl Display for Kind {
Kind::TaskDeletion => write!(f, "taskDeletion"),
Kind::DumpCreation => write!(f, "dumpCreation"),
Kind::SnapshotCreation => write!(f, "snapshotCreation"),
Kind::Export => write!(f, "export"),
Kind::UpgradeDatabase => write!(f, "upgradeDatabase"),
}
}
@@ -615,8 +568,6 @@ impl FromStr for Kind {
Ok(Kind::DumpCreation)
} else if kind.eq_ignore_ascii_case("snapshotCreation") {
Ok(Kind::SnapshotCreation)
} else if kind.eq_ignore_ascii_case("export") {
Ok(Kind::Export)
} else if kind.eq_ignore_ascii_case("upgradeDatabase") {
Ok(Kind::UpgradeDatabase)
} else {
@@ -692,33 +643,12 @@ pub enum Details {
IndexSwap {
swaps: Vec<IndexSwap>,
},
Export {
url: String,
api_key: Option<String>,
payload_size: Option<Byte>,
indexes: BTreeMap<IndexUidPattern, DetailsExportIndexSettings>,
},
UpgradeDatabase {
from: (u32, u32, u32),
to: (u32, u32, u32),
},
}
#[derive(Debug, PartialEq, Clone, Serialize, Deserialize, ToSchema)]
#[schema(rename_all = "camelCase")]
pub struct DetailsExportIndexSettings {
#[serde(flatten)]
pub settings: ExportIndexSettings,
#[serde(skip_serializing_if = "Option::is_none")]
pub matched_documents: Option<u64>,
}
impl From<ExportIndexSettings> for DetailsExportIndexSettings {
fn from(settings: ExportIndexSettings) -> Self {
DetailsExportIndexSettings { settings, matched_documents: None }
}
}
impl Details {
pub fn to_failed(&self) -> Self {
let mut details = self.clone();
@@ -737,7 +667,6 @@ impl Details {
Self::SettingsUpdate { .. }
| Self::IndexInfo { .. }
| Self::Dump { .. }
| Self::Export { .. }
| Self::UpgradeDatabase { .. }
| Self::IndexSwap { .. } => (),
}

View File

@@ -13,51 +13,51 @@ license.workspace = true
default-run = "meilisearch"
[dependencies]
actix-cors = "0.7.1"
actix-http = { version = "3.11.0", default-features = false, features = [
actix-cors = "0.7.0"
actix-http = { version = "3.9.0", default-features = false, features = [
"compress-brotli",
"compress-gzip",
"rustls-0_23",
] }
actix-utils = "3.0.1"
actix-web = { version = "4.11.0", default-features = false, features = [
actix-web = { version = "4.9.0", default-features = false, features = [
"macros",
"compress-brotli",
"compress-gzip",
"cookies",
"rustls-0_23",
] }
anyhow = { version = "1.0.98", features = ["backtrace"] }
bstr = "1.12.0"
anyhow = { version = "1.0.95", features = ["backtrace"] }
async-trait = "0.1.85"
bstr = "1.11.3"
byte-unit = { version = "5.1.6", features = ["serde"] }
bytes = "1.10.1"
bumpalo = "3.18.1"
clap = { version = "4.5.40", features = ["derive", "env"] }
bytes = "1.9.0"
bumpalo = "3.16.0"
clap = { version = "4.5.24", features = ["derive", "env"] }
crossbeam-channel = "0.5.15"
deserr = { version = "0.6.3", features = ["actix-web"] }
dump = { path = "../dump" }
either = "1.15.0"
either = "1.13.0"
file-store = { path = "../file-store" }
flate2 = "1.1.2"
flate2 = "1.0.35"
fst = "0.4.7"
futures = "0.3.31"
futures-util = "0.3.31"
index-scheduler = { path = "../index-scheduler" }
indexmap = { version = "2.9.0", features = ["serde"] }
is-terminal = "0.4.16"
indexmap = { version = "2.7.0", features = ["serde"] }
is-terminal = "0.4.13"
itertools = "0.14.0"
jsonwebtoken = "9.3.1"
jsonwebtoken = "9.3.0"
lazy_static = "1.5.0"
meilisearch-auth = { path = "../meilisearch-auth" }
meilisearch-types = { path = "../meilisearch-types" }
memmap2 = "0.9.7"
mimalloc = { version = "0.1.47", default-features = false }
mimalloc = { version = "0.1.43", default-features = false }
mime = "0.3.17"
num_cpus = "1.17.0"
num_cpus = "1.16.0"
obkv = "0.3.0"
once_cell = "1.21.3"
ordered-float = "5.0.0"
parking_lot = "0.12.4"
once_cell = "1.20.2"
ordered-float = "4.6.0"
parking_lot = "0.12.3"
permissive-json-pointer = { path = "../permissive-json-pointer" }
pin-project-lite = "0.2.16"
platform-dirs = "0.3.0"
@@ -65,44 +65,44 @@ prometheus = { version = "0.14.0", features = ["process"] }
rand = "0.8.5"
rayon = "1.10.0"
regex = "1.11.1"
reqwest = { version = "0.12.20", features = [
reqwest = { version = "0.12.12", features = [
"rustls-tls",
"json",
], default-features = false }
rustls = { version = "0.23.28", features = ["ring"], default-features = false }
rustls-pki-types = { version = "1.12.0", features = ["alloc"] }
rustls = { version = "0.23.20", features = ["ring"], default-features = false }
rustls-pki-types = { version = "1.10.1", features = ["alloc"] }
rustls-pemfile = "2.2.0"
segment = { version = "0.2.6" }
serde = { version = "1.0.219", features = ["derive"] }
serde_json = { version = "1.0.140", features = ["preserve_order"] }
sha2 = "0.10.9"
segment = { version = "0.2.5" }
serde = { version = "1.0.217", features = ["derive"] }
serde_json = { version = "1.0.135", features = ["preserve_order"] }
sha2 = "0.10.8"
siphasher = "1.0.1"
slice-group-by = "0.3.1"
static-files = { version = "0.2.5", optional = true }
sysinfo = "0.35.2"
tar = "0.4.44"
tempfile = "3.20.0"
thiserror = "2.0.12"
time = { version = "0.3.41", features = [
static-files = { version = "0.2.4", optional = true }
sysinfo = "0.33.1"
tar = "0.4.43"
tempfile = "3.15.0"
thiserror = "2.0.9"
time = { version = "0.3.37", features = [
"serde-well-known",
"formatting",
"parsing",
"macros",
] }
tokio = { version = "1.45.1", features = ["full"] }
toml = "0.8.23"
uuid = { version = "1.17.0", features = ["serde", "v4"] }
tokio = { version = "1.43.1", features = ["full"] }
toml = "0.8.19"
uuid = { version = "1.11.0", features = ["serde", "v4"] }
serde_urlencoded = "0.7.1"
termcolor = "1.4.1"
url = { version = "2.5.4", features = ["serde"] }
tracing = "0.1.41"
tracing-subscriber = { version = "0.3.19", features = ["json"] }
tracing-trace = { version = "0.1.0", path = "../tracing-trace" }
tracing-actix-web = "0.7.18"
tracing-actix-web = "0.7.15"
build-info = { version = "1.7.0", path = "../build-info" }
roaring = "0.10.12"
roaring = "0.10.10"
mopa-maintained = "0.2.3"
utoipa = { version = "5.4.0", features = [
utoipa = { version = "5.3.1", features = [
"actix_extras",
"macros",
"non_strict_integers",
@@ -118,29 +118,29 @@ actix-web-lab = { version = "0.24.1", default-features = false }
[dev-dependencies]
actix-rt = "2.10.0"
brotli = "8.0.1"
brotli = "6.0.0"
# fixed version due to format breakages in v1.40
insta = { version = "=1.39.0", features = ["redactions"] }
insta = "=1.39.0"
manifest-dir-macros = "0.1.18"
maplit = "1.0.2"
meili-snap = { path = "../meili-snap" }
temp-env = "0.3.6"
urlencoding = "2.1.3"
wiremock = "0.6.3"
wiremock = "0.6.2"
yaup = "0.3.1"
[build-dependencies]
anyhow = { version = "1.0.98", optional = true }
cargo_toml = { version = "0.22.1", optional = true }
anyhow = { version = "1.0.95", optional = true }
cargo_toml = { version = "0.21.0", optional = true }
hex = { version = "0.4.3", optional = true }
reqwest = { version = "0.12.20", features = [
reqwest = { version = "0.12.12", features = [
"blocking",
"rustls-tls",
], default-features = false, optional = true }
sha-1 = { version = "0.10.1", optional = true }
static-files = { version = "0.2.5", optional = true }
tempfile = { version = "3.20.0", optional = true }
zip = { version = "4.1.0", optional = true }
static-files = { version = "0.2.4", optional = true }
tempfile = { version = "3.15.0", optional = true }
zip = { version = "2.3.0", optional = true }
[features]
default = ["meilisearch-types/all-tokenizations", "mini-dashboard"]
@@ -170,5 +170,5 @@ german = ["meilisearch-types/german"]
turkish = ["meilisearch-types/turkish"]
[package.metadata.mini-dashboard]
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.22/build.zip"
sha1 = "b70b2036b5f167da9ea0b637da8b320c7ea88254"
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.19/build.zip"
sha1 = "7974430d5277c97f67cf6e95eec6faaac2788834"

View File

@@ -104,4 +104,6 @@ impl Analytics for MockAnalytics {
_request: &HttpRequest,
) {
}
fn get_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
fn post_fetch_documents(&self, _documents_query: &DocumentFetchKind, _request: &HttpRequest) {}
}

View File

@@ -73,6 +73,12 @@ pub enum DocumentDeletionKind {
PerFilter,
}
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
pub enum DocumentFetchKind {
PerDocumentId { retrieve_vectors: bool },
Normal { with_filter: bool, limit: usize, offset: usize, retrieve_vectors: bool },
}
/// To send an event to segment, your event must be able to aggregate itself with another event of the same type.
pub trait Aggregate: 'static + mopa::Any + Send {
/// The name of the event that will be sent to segment.

View File

@@ -197,14 +197,11 @@ struct Infos {
experimental_max_number_of_batched_tasks: usize,
experimental_limit_batched_tasks_total_size: u64,
experimental_network: bool,
experimental_multimodal: bool,
experimental_chat_completions: bool,
experimental_get_task_documents_route: bool,
experimental_composite_embedders: bool,
experimental_embedding_cache_entries: usize,
experimental_no_snapshot_compaction: bool,
experimental_no_edition_2024_for_dumps: bool,
experimental_no_edition_2024_for_settings: bool,
gpu_enabled: bool,
db_path: bool,
import_dump: bool,
@@ -289,13 +286,8 @@ impl Infos {
ScheduleSnapshot::Enabled(interval) => Some(interval),
};
let IndexerOpts {
max_indexing_memory,
max_indexing_threads,
skip_index_budget: _,
experimental_no_edition_2024_for_settings,
experimental_no_edition_2024_for_dumps,
} = indexer_options;
let IndexerOpts { max_indexing_memory, max_indexing_threads, skip_index_budget: _ } =
indexer_options;
let RuntimeTogglableFeatures {
metrics,
@@ -306,7 +298,6 @@ impl Infos {
get_task_documents_route,
composite_embedders,
chat_completions,
multimodal,
} = features;
// We're going to override every sensible information.
@@ -326,12 +317,10 @@ impl Infos {
experimental_reduce_indexing_memory_usage,
experimental_network: network,
experimental_chat_completions: chat_completions,
experimental_multimodal: multimodal,
experimental_get_task_documents_route: get_task_documents_route,
experimental_composite_embedders: composite_embedders,
experimental_embedding_cache_entries,
experimental_no_snapshot_compaction,
experimental_no_edition_2024_for_dumps,
gpu_enabled: meilisearch_types::milli::vector::is_cuda_enabled(),
db_path: db_path != PathBuf::from("./data.ms"),
import_dump: import_dump.is_some(),
@@ -361,7 +350,6 @@ impl Infos {
ssl_require_auth,
ssl_resumption,
ssl_tickets,
experimental_no_edition_2024_for_settings,
}
}
}

View File

@@ -49,7 +49,7 @@ pub enum MeilisearchHttpError {
TooManySearchRequests(usize),
#[error("Internal error: Search limiter is down.")]
SearchLimiterIsDown,
#[error("The provided payload reached the size limit. The maximum accepted payload size is {}.", Byte::from_u64(*.0 as u64).get_appropriate_unit(if *.0 % 1024 == 0 { UnitType::Binary } else { UnitType::Decimal }))]
#[error("The provided payload reached the size limit. The maximum accepted payload size is {}.", Byte::from_u64(*.0 as u64).get_appropriate_unit(UnitType::Binary))]
PayloadTooLarge(usize),
#[error("Two indexes must be given for each swap. The list `[{}]` contains {} indexes.",
.0.iter().map(|uid| format!("\"{uid}\"")).collect::<Vec<_>>().join(", "), .0.len()
@@ -76,10 +76,8 @@ pub enum MeilisearchHttpError {
DocumentFormat(#[from] DocumentFormatError),
#[error(transparent)]
Join(#[from] JoinError),
#[error("Invalid request: missing `hybrid` parameter when `vector` or `media` are present.")]
#[error("Invalid request: missing `hybrid` parameter when `vector` is present.")]
MissingSearchHybrid,
#[error("Invalid request: both `media` and `vector` parameters are present.")]
MediaAndVector,
}
impl MeilisearchHttpError {
@@ -113,7 +111,6 @@ impl ErrorCode for MeilisearchHttpError {
MeilisearchHttpError::DocumentFormat(e) => e.error_code(),
MeilisearchHttpError::Join(_) => Code::Internal,
MeilisearchHttpError::MissingSearchHybrid => Code::MissingSearchHybrid,
MeilisearchHttpError::MediaAndVector => Code::InvalidSearchMediaAndVector,
MeilisearchHttpError::FederationOptionsInNonFederatedRequest(_) => {
Code::InvalidMultiSearchFederationOptions
}

View File

@@ -30,7 +30,6 @@ use actix_web::web::Data;
use actix_web::{web, HttpRequest};
use analytics::Analytics;
use anyhow::bail;
use bumpalo::Bump;
use error::PayloadError;
use extractors::payload::PayloadConfig;
use index_scheduler::versioning::Versioning;
@@ -38,11 +37,7 @@ use index_scheduler::{IndexScheduler, IndexSchedulerOptions};
use meilisearch_auth::{open_auth_store_env, AuthController};
use meilisearch_types::milli::constants::VERSION_MAJOR;
use meilisearch_types::milli::documents::{DocumentsBatchBuilder, DocumentsBatchReader};
use meilisearch_types::milli::progress::{EmbedderStats, Progress};
use meilisearch_types::milli::update::new::indexer;
use meilisearch_types::milli::update::{
default_thread_pool_and_threads, IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig,
};
use meilisearch_types::milli::update::{IndexDocumentsConfig, IndexDocumentsMethod};
use meilisearch_types::settings::apply_settings_to_builder;
use meilisearch_types::tasks::KindWithContent;
use meilisearch_types::versioning::{
@@ -466,7 +461,6 @@ fn import_dump(
index_scheduler: &mut IndexScheduler,
auth: &mut AuthController,
) -> Result<(), anyhow::Error> {
let progress = Progress::default();
let reader = File::open(dump_path)?;
let mut dump_reader = dump::DumpReader::open(reader)?;
@@ -500,42 +494,24 @@ fn import_dump(
keys.push(key);
}
// 3. Import the `ChatCompletionSettings`s.
for result in dump_reader.chat_completions_settings()? {
let (name, settings) = result?;
index_scheduler.put_chat_settings(&name, &settings)?;
}
// 4. Import the runtime features and network
// 3. Import the runtime features and network
let features = dump_reader.features()?.unwrap_or_default();
index_scheduler.put_runtime_features(features)?;
let network = dump_reader.network()?.cloned().unwrap_or_default();
index_scheduler.put_network(network)?;
// 4.1 Use all cpus to process dump if `max_indexing_threads` not configured
let backup_config;
let base_config = index_scheduler.indexer_config();
let indexer_config = if base_config.max_threads.is_none() {
let (thread_pool, _) = default_thread_pool_and_threads();
let _config = IndexerConfig { thread_pool, ..*base_config };
backup_config = _config;
&backup_config
} else {
base_config
};
let indexer_config = index_scheduler.indexer_config();
// /!\ The tasks must be imported AFTER importing the indexes or else the scheduler might
// try to process tasks while we're trying to import the indexes.
// 5. Import the indexes.
// 4. Import the indexes.
for index_reader in dump_reader.indexes()? {
let mut index_reader = index_reader?;
let metadata = index_reader.metadata();
let uid = metadata.uid.clone();
tracing::info!("Importing index `{uid}`.");
tracing::info!("Importing index `{}`.", metadata.uid);
let date = Some((metadata.created_at, metadata.updated_at));
let index = index_scheduler.create_raw_index(&metadata.uid, date)?;
@@ -543,123 +519,70 @@ fn import_dump(
let mut wtxn = index.write_txn()?;
let mut builder = milli::update::Settings::new(&mut wtxn, &index, indexer_config);
// 5.1 Import the primary key if there is one.
// 4.1 Import the primary key if there is one.
if let Some(ref primary_key) = metadata.primary_key {
builder.set_primary_key(primary_key.to_string());
}
// 5.2 Import the settings.
// 4.2 Import the settings.
tracing::info!("Importing the settings.");
let settings = index_reader.settings()?;
apply_settings_to_builder(&settings, &mut builder);
let embedder_stats: Arc<EmbedderStats> = Default::default();
builder.execute(&|| false, &progress, embedder_stats.clone())?;
wtxn.commit()?;
builder
.execute(|indexing_step| tracing::debug!("update: {:?}", indexing_step), || false)?;
let mut wtxn = index.write_txn()?;
let rtxn = index.read_txn()?;
if index_scheduler.no_edition_2024_for_dumps() {
// 5.3 Import the documents.
// 5.3.1 We need to recreate the grenad+obkv format accepted by the index.
tracing::info!("Importing the documents.");
let file = tempfile::tempfile()?;
let mut builder = DocumentsBatchBuilder::new(BufWriter::new(file));
for document in index_reader.documents()? {
builder.append_json_object(&document?)?;
}
// This flush the content of the batch builder.
let file = builder.into_inner()?.into_inner()?;
// 5.3.2 We feed it to the milli index.
let reader = BufReader::new(file);
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 builder = milli::update::IndexDocuments::new(
&mut wtxn,
&index,
indexer_config,
IndexDocumentsConfig {
update_method: IndexDocumentsMethod::ReplaceDocuments,
..Default::default()
},
|indexing_step| tracing::trace!("update: {:?}", indexing_step),
|| false,
&embedder_stats,
)?;
let builder = builder.with_embedders(embedders);
let (builder, user_result) = builder.add_documents(reader)?;
let user_result = user_result?;
tracing::info!(documents_found = user_result, "{} documents found.", user_result);
builder.execute()?;
} else {
let db_fields_ids_map = index.fields_ids_map(&rtxn)?;
let primary_key = index.primary_key(&rtxn)?;
let mut new_fields_ids_map = db_fields_ids_map.clone();
let mut indexer = indexer::DocumentOperation::new();
let embedders = index.embedding_configs().embedding_configs(&rtxn)?;
let embedders = index_scheduler.embedders(uid.clone(), embedders)?;
let mmap = unsafe { memmap2::Mmap::map(index_reader.documents_file())? };
indexer.replace_documents(&mmap)?;
let indexer_config = index_scheduler.indexer_config();
let pool = &indexer_config.thread_pool;
let indexer_alloc = Bump::new();
let (document_changes, mut operation_stats, primary_key) = indexer.into_changes(
&indexer_alloc,
&index,
&rtxn,
primary_key,
&mut new_fields_ids_map,
&|| false, // never stop processing a dump
progress.clone(),
)?;
let operation_stats = operation_stats.pop().unwrap();
if let Some(error) = operation_stats.error {
return Err(error.into());
}
let _congestion = indexer::index(
&mut wtxn,
&index,
pool,
indexer_config.grenad_parameters(),
&db_fields_ids_map,
new_fields_ids_map,
primary_key,
&document_changes,
embedders,
&|| false, // never stop processing a dump
&progress,
&embedder_stats,
)?;
// 4.3 Import the documents.
// 4.3.1 We need to recreate the grenad+obkv format accepted by the index.
tracing::info!("Importing the documents.");
let file = tempfile::tempfile()?;
let mut builder = DocumentsBatchBuilder::new(BufWriter::new(file));
for document in index_reader.documents()? {
builder.append_json_object(&document?)?;
}
// This flush the content of the batch builder.
let file = builder.into_inner()?.into_inner()?;
// 4.3.2 We feed it to the milli index.
let reader = BufReader::new(file);
let reader = DocumentsBatchReader::from_reader(reader)?;
let embedder_configs = index.embedding_configs(&wtxn)?;
let embedders = index_scheduler.embedders(uid.to_string(), embedder_configs)?;
let builder = milli::update::IndexDocuments::new(
&mut wtxn,
&index,
indexer_config,
IndexDocumentsConfig {
update_method: IndexDocumentsMethod::ReplaceDocuments,
..Default::default()
},
|indexing_step| tracing::trace!("update: {:?}", indexing_step),
|| false,
)?;
let builder = builder.with_embedders(embedders);
let (builder, user_result) = builder.add_documents(reader)?;
let user_result = user_result?;
tracing::info!(documents_found = user_result, "{} documents found.", user_result);
builder.execute()?;
wtxn.commit()?;
tracing::info!("All documents successfully imported.");
index_scheduler.refresh_index_stats(&uid)?;
}
// 6. Import the queue
// 5. Import the queue
let mut index_scheduler_dump = index_scheduler.register_dumped_task()?;
// 6.1. Import the batches
// 5.1. Import the batches
for ret in dump_reader.batches()? {
let batch = ret?;
index_scheduler_dump.register_dumped_batch(batch)?;
}
// 6.2. Import the tasks
// 5.2. Import the tasks
for ret in dump_reader.tasks()? {
let (task, file) = ret?;
index_scheduler_dump.register_dumped_task(task, file)?;

View File

@@ -15,36 +15,6 @@ lazy_static! {
"Meilisearch number of degraded search requests"
))
.expect("Can't create a metric");
pub static ref MEILISEARCH_CHAT_SEARCHES_TOTAL: IntCounterVec = register_int_counter_vec!(
opts!(
"meilisearch_chat_searches_total",
"Total number of searches performed by the chat route"
),
&["type"]
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_CHAT_PROMPT_TOKENS_TOTAL: IntCounterVec = register_int_counter_vec!(
opts!("meilisearch_chat_prompt_tokens_total", "Total number of prompt tokens consumed"),
&["workspace", "model"]
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_CHAT_COMPLETION_TOKENS_TOTAL: IntCounterVec =
register_int_counter_vec!(
opts!(
"meilisearch_chat_completion_tokens_total",
"Total number of completion tokens consumed"
),
&["workspace", "model"]
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_CHAT_TOKENS_TOTAL: IntCounterVec = register_int_counter_vec!(
opts!(
"meilisearch_chat_tokens_total",
"Total number of tokens consumed (prompt + completion)"
),
&["workspace", "model"]
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_DB_SIZE_BYTES: IntGauge =
register_int_gauge!(opts!("meilisearch_db_size_bytes", "Meilisearch DB Size In Bytes"))
.expect("Can't create a metric");

View File

@@ -53,8 +53,6 @@ const MEILI_EXPERIMENTAL_DUMPLESS_UPGRADE: &str = "MEILI_EXPERIMENTAL_DUMPLESS_U
const MEILI_EXPERIMENTAL_REPLICATION_PARAMETERS: &str = "MEILI_EXPERIMENTAL_REPLICATION_PARAMETERS";
const MEILI_EXPERIMENTAL_ENABLE_LOGS_ROUTE: &str = "MEILI_EXPERIMENTAL_ENABLE_LOGS_ROUTE";
const MEILI_EXPERIMENTAL_CONTAINS_FILTER: &str = "MEILI_EXPERIMENTAL_CONTAINS_FILTER";
const MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS: &str =
"MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS";
const MEILI_EXPERIMENTAL_ENABLE_METRICS: &str = "MEILI_EXPERIMENTAL_ENABLE_METRICS";
const MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE: &str = "MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE";
const MEILI_EXPERIMENTAL_DROP_SEARCH_AFTER: &str = "MEILI_EXPERIMENTAL_DROP_SEARCH_AFTER";
@@ -64,12 +62,10 @@ const MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE: &str =
const MEILI_EXPERIMENTAL_MAX_NUMBER_OF_BATCHED_TASKS: &str =
"MEILI_EXPERIMENTAL_MAX_NUMBER_OF_BATCHED_TASKS";
const MEILI_EXPERIMENTAL_LIMIT_BATCHED_TASKS_TOTAL_SIZE: &str =
"MEILI_EXPERIMENTAL_LIMIT_BATCHED_TASKS_TOTAL_SIZE";
"MEILI_EXPERIMENTAL_LIMIT_BATCHED_TASKS_SIZE";
const MEILI_EXPERIMENTAL_EMBEDDING_CACHE_ENTRIES: &str =
"MEILI_EXPERIMENTAL_EMBEDDING_CACHE_ENTRIES";
const MEILI_EXPERIMENTAL_NO_SNAPSHOT_COMPACTION: &str = "MEILI_EXPERIMENTAL_NO_SNAPSHOT_COMPACTION";
const MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_DUMPS: &str =
"MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_DUMPS";
const DEFAULT_CONFIG_FILE_PATH: &str = "./config.toml";
const DEFAULT_DB_PATH: &str = "./data.ms";
const DEFAULT_HTTP_ADDR: &str = "localhost:7700";
@@ -753,59 +749,22 @@ pub struct IndexerOpts {
#[clap(skip)]
#[serde(skip)]
pub skip_index_budget: bool,
/// Experimental no edition 2024 for settings feature. For more information,
/// see: <https://github.com/orgs/meilisearch/discussions/847>
///
/// Enables the experimental no edition 2024 for settings feature.
#[clap(long, env = MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS)]
#[serde(default)]
pub experimental_no_edition_2024_for_settings: bool,
/// Experimental make dump imports use the old document indexer.
///
/// When enabled, Meilisearch will use the old document indexer when importing dumps.
///
/// For more information, see <https://github.com/orgs/meilisearch/discussions/851>.
#[clap(long, env = MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_DUMPS)]
#[serde(default)]
pub experimental_no_edition_2024_for_dumps: bool,
}
impl IndexerOpts {
/// Exports the values to their corresponding env vars if they are not set.
pub fn export_to_env(self) {
let IndexerOpts {
max_indexing_memory,
max_indexing_threads,
skip_index_budget: _,
experimental_no_edition_2024_for_settings,
experimental_no_edition_2024_for_dumps,
} = self;
let IndexerOpts { max_indexing_memory, max_indexing_threads, skip_index_budget: _ } = self;
if let Some(max_indexing_memory) = max_indexing_memory.0 {
export_to_env_if_not_present(
MEILI_MAX_INDEXING_MEMORY,
max_indexing_memory.to_string(),
);
}
if let Some(max_indexing_threads) = max_indexing_threads.0 {
export_to_env_if_not_present(
MEILI_MAX_INDEXING_THREADS,
max_indexing_threads.to_string(),
);
}
if experimental_no_edition_2024_for_settings {
export_to_env_if_not_present(
MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS,
experimental_no_edition_2024_for_settings.to_string(),
);
}
if experimental_no_edition_2024_for_dumps {
export_to_env_if_not_present(
MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_DUMPS,
experimental_no_edition_2024_for_dumps.to_string(),
);
}
export_to_env_if_not_present(
MEILI_MAX_INDEXING_THREADS,
max_indexing_threads.0.to_string(),
);
}
}
@@ -813,24 +772,18 @@ impl TryFrom<&IndexerOpts> for IndexerConfig {
type Error = anyhow::Error;
fn try_from(other: &IndexerOpts) -> Result<Self, Self::Error> {
let thread_pool = ThreadPoolNoAbortBuilder::new_for_indexing()
.num_threads(other.max_indexing_threads.unwrap_or_else(|| num_cpus::get() / 2))
let thread_pool = ThreadPoolNoAbortBuilder::new()
.thread_name(|index| format!("indexing-thread:{index}"))
.num_threads(*other.max_indexing_threads)
.build()?;
Ok(Self {
thread_pool,
log_every_n: Some(DEFAULT_LOG_EVERY_N),
max_memory: other.max_indexing_memory.map(|b| b.as_u64() as usize),
max_threads: *other.max_indexing_threads,
thread_pool: Some(thread_pool),
max_positions_per_attributes: None,
skip_index_budget: other.skip_index_budget,
experimental_no_edition_2024_for_settings: other
.experimental_no_edition_2024_for_settings,
experimental_no_edition_2024_for_dumps: other.experimental_no_edition_2024_for_dumps,
chunk_compression_type: Default::default(),
chunk_compression_level: Default::default(),
documents_chunk_size: Default::default(),
max_nb_chunks: Default::default(),
..Default::default()
})
}
}
@@ -890,31 +843,31 @@ fn total_memory_bytes() -> Option<u64> {
}
}
#[derive(Default, Debug, Clone, Copy, Deserialize, Serialize)]
pub struct MaxThreads(Option<usize>);
#[derive(Debug, Clone, Copy, Deserialize, Serialize)]
pub struct MaxThreads(usize);
impl FromStr for MaxThreads {
type Err = ParseIntError;
fn from_str(s: &str) -> Result<MaxThreads, Self::Err> {
if s.is_empty() || s == "unlimited" {
return Ok(MaxThreads::default());
}
usize::from_str(s).map(Some).map(MaxThreads)
fn from_str(s: &str) -> Result<Self, Self::Err> {
usize::from_str(s).map(Self)
}
}
impl Default for MaxThreads {
fn default() -> Self {
MaxThreads(num_cpus::get() / 2)
}
}
impl fmt::Display for MaxThreads {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
match self.0 {
Some(threads) => write!(f, "{}", threads),
None => write!(f, "unlimited"),
}
write!(f, "{}", self.0)
}
}
impl Deref for MaxThreads {
type Target = Option<usize>;
type Target = usize;
fn deref(&self) -> &Self::Target {
&self.0

View File

@@ -1,135 +0,0 @@
use std::collections::BinaryHeap;
use serde_json::{json, Value};
use crate::analytics::Aggregate;
#[derive(Default)]
pub struct ChatCompletionAggregator {
// requests
total_received: usize,
total_succeeded: usize,
time_spent: BinaryHeap<usize>,
// chat completion specific metrics
total_messages: usize,
total_streamed_requests: usize,
total_non_streamed_requests: usize,
// model usage tracking
models_used: std::collections::HashMap<String, usize>,
}
impl ChatCompletionAggregator {
pub fn from_request(model: &str, message_count: usize, is_stream: bool) -> Self {
let mut models_used = std::collections::HashMap::new();
models_used.insert(model.to_string(), 1);
Self {
total_received: 1,
total_succeeded: 0,
time_spent: BinaryHeap::new(),
total_messages: message_count,
total_streamed_requests: if is_stream { 1 } else { 0 },
total_non_streamed_requests: if is_stream { 0 } else { 1 },
models_used,
}
}
pub fn succeed(&mut self, time_spent: std::time::Duration) {
self.total_succeeded += 1;
self.time_spent.push(time_spent.as_millis() as usize);
}
}
impl Aggregate for ChatCompletionAggregator {
fn event_name(&self) -> &'static str {
"Chat Completion POST"
}
fn aggregate(mut self: Box<Self>, new: Box<Self>) -> Box<Self> {
let Self {
total_received,
total_succeeded,
mut time_spent,
total_messages,
total_streamed_requests,
total_non_streamed_requests,
models_used,
..
} = *new;
// Aggregate time spent
self.time_spent.append(&mut time_spent);
// Aggregate counters
self.total_received = self.total_received.saturating_add(total_received);
self.total_succeeded = self.total_succeeded.saturating_add(total_succeeded);
self.total_messages = self.total_messages.saturating_add(total_messages);
self.total_streamed_requests =
self.total_streamed_requests.saturating_add(total_streamed_requests);
self.total_non_streamed_requests =
self.total_non_streamed_requests.saturating_add(total_non_streamed_requests);
// Aggregate model usage
for (model, count) in models_used {
*self.models_used.entry(model).or_insert(0) += count;
}
self
}
fn into_event(self: Box<Self>) -> Value {
let Self {
total_received,
total_succeeded,
time_spent,
total_messages,
total_streamed_requests,
total_non_streamed_requests,
models_used,
..
} = *self;
// Compute time statistics
let time_spent: Vec<usize> = time_spent.into_sorted_vec();
let (max_time, min_time, avg_time) = if time_spent.is_empty() {
(0, 0, 0)
} else {
let max_time = time_spent.last().unwrap_or(&0);
let min_time = time_spent.first().unwrap_or(&0);
let sum: usize = time_spent.iter().sum();
let avg_time = sum / time_spent.len();
(*max_time, *min_time, avg_time)
};
// Compute average messages per request
let avg_messages_per_request =
if total_received > 0 { total_messages as f64 / total_received as f64 } else { 0.0 };
// Compute streaming vs non-streaming proportions
let streaming_ratio = if total_received > 0 {
total_streamed_requests as f64 / total_received as f64
} else {
0.0
};
json!({
"total_received": total_received,
"total_succeeded": total_succeeded,
"time_spent": {
"max": max_time,
"min": min_time,
"avg": avg_time
},
"total_messages": total_messages,
"avg_messages_per_request": avg_messages_per_request,
"total_streamed_requests": total_streamed_requests,
"total_non_streamed_requests": total_non_streamed_requests,
"streaming_ratio": streaming_ratio,
"models_used": models_used,
})
}
}

View File

@@ -13,9 +13,9 @@ use async_openai::types::{
ChatCompletionRequestDeveloperMessageContent, ChatCompletionRequestMessage,
ChatCompletionRequestSystemMessage, ChatCompletionRequestSystemMessageContent,
ChatCompletionRequestToolMessage, ChatCompletionRequestToolMessageContent,
ChatCompletionStreamOptions, ChatCompletionStreamResponseDelta, ChatCompletionToolArgs,
ChatCompletionToolType, CreateChatCompletionRequest, CreateChatCompletionStreamResponse,
FinishReason, FunctionCall, FunctionCallStream, FunctionObjectArgs,
ChatCompletionStreamResponseDelta, ChatCompletionToolArgs, ChatCompletionToolType,
CreateChatCompletionRequest, CreateChatCompletionStreamResponse, FinishReason, FunctionCall,
FunctionCallStream, FunctionObjectArgs,
};
use async_openai::Client;
use bumpalo::Bump;
@@ -27,17 +27,15 @@ use meilisearch_types::features::{
ChatCompletionPrompts as DbChatCompletionPrompts,
ChatCompletionSource as DbChatCompletionSource, SystemRole,
};
use meilisearch_types::heed::RoTxn;
use meilisearch_types::keys::actions;
use meilisearch_types::milli::index::ChatConfig;
use meilisearch_types::milli::{all_obkv_to_json, obkv_to_json, OrderBy, PatternMatch, TimeBudget};
use meilisearch_types::milli::{all_obkv_to_json, obkv_to_json, TimeBudget};
use meilisearch_types::{Document, Index};
use serde::Deserialize;
use serde_json::json;
use tokio::runtime::Handle;
use tokio::sync::mpsc::error::SendError;
use super::chat_completion_analytics::ChatCompletionAggregator;
use super::config::Config;
use super::errors::{MistralError, OpenAiOutsideError, StreamErrorEvent};
use super::utils::format_documents;
@@ -45,15 +43,10 @@ use super::{
ChatsParam, MEILI_APPEND_CONVERSATION_MESSAGE_NAME, MEILI_SEARCH_IN_INDEX_FUNCTION_NAME,
MEILI_SEARCH_PROGRESS_NAME, MEILI_SEARCH_SOURCES_NAME,
};
use crate::analytics::Analytics;
use crate::error::MeilisearchHttpError;
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::{extract_token_from_request, GuardedData, Policy as _};
use crate::metrics::{
MEILISEARCH_CHAT_COMPLETION_TOKENS_TOTAL, MEILISEARCH_CHAT_PROMPT_TOKENS_TOTAL,
MEILISEARCH_CHAT_SEARCHES_TOTAL, MEILISEARCH_CHAT_TOKENS_TOTAL,
MEILISEARCH_DEGRADED_SEARCH_REQUESTS,
};
use crate::metrics::MEILISEARCH_DEGRADED_SEARCH_REQUESTS;
use crate::routes::chats::utils::SseEventSender;
use crate::routes::indexes::search::search_kind;
use crate::search::{add_search_rules, prepare_search, search_from_kind, SearchQuery};
@@ -71,7 +64,6 @@ async fn chat(
req: HttpRequest,
search_queue: web::Data<SearchQueue>,
web::Json(chat_completion): web::Json<CreateChatCompletionRequest>,
analytics: web::Data<Analytics>,
) -> impl Responder {
let ChatsParam { workspace_uid } = chats_param.into_inner();
@@ -84,7 +76,6 @@ async fn chat(
&workspace_uid,
req,
chat_completion,
analytics,
)
.await,
)
@@ -97,7 +88,6 @@ async fn chat(
&workspace_uid,
req,
chat_completion,
analytics,
)
.await,
)
@@ -170,7 +160,6 @@ fn setup_search_tool(
let mut index_uids = Vec::new();
let mut function_description = prompts.search_description.clone();
let mut filter_description = prompts.search_filter_param.clone();
index_scheduler.try_for_each_index::<_, ()>(|name, index| {
// Make sure to skip unauthorized indexes
if !filters.is_index_authorized(name) {
@@ -182,22 +171,16 @@ fn setup_search_tool(
let index_description = chat_config.description;
let _ = writeln!(&mut function_description, "\n\n - {name}: {index_description}\n");
index_uids.push(name.to_string());
let facet_distributions = format_facet_distributions(index, &rtxn, 10).unwrap(); // TODO do not unwrap
let _ = writeln!(&mut filter_description, "\n## Facet distributions of the {name} index");
let _ = writeln!(&mut filter_description, "{facet_distributions}");
Ok(())
})?;
tracing::debug!("LLM function description: {function_description}");
tracing::debug!("LLM filter description: {filter_description}");
let tool = ChatCompletionToolArgs::default()
.r#type(ChatCompletionToolType::Function)
.function(
FunctionObjectArgs::default()
.name(MEILI_SEARCH_IN_INDEX_FUNCTION_NAME)
.description(function_description)
.description(&function_description)
.parameters(json!({
"type": "object",
"properties": {
@@ -211,13 +194,9 @@ fn setup_search_tool(
// "type": ["string", "null"],
"type": "string",
"description": prompts.search_q_param,
},
"filter": {
"type": "string",
"description": filter_description,
}
},
"required": ["index_uid", "q", "filter"],
"required": ["index_uid", "q"],
"additionalProperties": false,
}))
.strict(true)
@@ -259,19 +238,11 @@ async fn process_search_request(
auth_token: &str,
index_uid: String,
q: Option<String>,
filter: Option<String>,
) -> Result<(Index, Vec<Document>, String), ResponseError> {
let index = index_scheduler.index(&index_uid)?;
let rtxn = index.static_read_txn()?;
let ChatConfig { description: _, prompt: _, search_parameters } = index.chat_config(&rtxn)?;
let mut query = SearchQuery {
q,
filter: filter.map(serde_json::Value::from),
..SearchQuery::from(search_parameters)
};
tracing::debug!("LLM query: {:?}", query);
let mut query = SearchQuery { q, ..SearchQuery::from(search_parameters) };
let auth_filter = ActionPolicy::<{ actions::SEARCH }>::authenticate(
auth_ctrl,
auth_token,
@@ -300,26 +271,17 @@ 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) {
Ok((search_results, _)) => Ok((rtxn, Ok(search_results))),
Err(MeilisearchHttpError::Milli {
error: meilisearch_types::milli::Error::UserError(user_error),
index_name: _,
}) => Ok((rtxn, Err(user_error))),
Err(err) => Err(ResponseError::from(err)),
}
search_from_kind(index_uid, search_kind, search)
.map(|(search_results, _)| (rtxn, search_results))
.map_err(ResponseError::from)
})
.await;
permit.drop().await;
let output = match output? {
Ok((rtxn, Ok(search_results))) => Ok((rtxn, search_results)),
Ok((_rtxn, Err(error))) => return Ok((index, Vec::new(), error.to_string())),
Err(err) => Err(err),
};
let output = output?;
let mut documents = Vec::new();
if let Ok((ref rtxn, ref search_result)) = output {
MEILISEARCH_CHAT_SEARCHES_TOTAL.with_label_values(&["internal"]).inc();
// aggregate.succeed(search_result);
if search_result.degraded {
MEILISEARCH_DEGRADED_SEARCH_REQUESTS.inc();
}
@@ -353,18 +315,9 @@ async fn non_streamed_chat(
workspace_uid: &str,
req: HttpRequest,
chat_completion: CreateChatCompletionRequest,
analytics: web::Data<Analytics>,
) -> Result<HttpResponse, ResponseError> {
index_scheduler.features().check_chat_completions("using the /chats chat completions route")?;
// Create analytics aggregator
let aggregate = ChatCompletionAggregator::from_request(
&chat_completion.model,
chat_completion.messages.len(),
false, // non_streamed_chat is not streaming
);
let start_time = std::time::Instant::now();
if let Some(n) = chat_completion.n.filter(|&n| n != 1) {
return Err(ResponseError::from_msg(
format!("You tried to specify n = {n} but only single choices are supported (n = 1)."),
@@ -424,19 +377,16 @@ async fn non_streamed_chat(
for call in meili_calls {
let result = match serde_json::from_str(&call.function.arguments) {
Ok(SearchInIndexParameters { index_uid, q, filter }) => {
process_search_request(
&index_scheduler,
auth_ctrl.clone(),
&search_queue,
auth_token,
index_uid,
q,
filter,
)
.await
.map_err(|e| e.to_string())
}
Ok(SearchInIndexParameters { index_uid, q }) => process_search_request(
&index_scheduler,
auth_ctrl.clone(),
&search_queue,
auth_token,
index_uid,
q,
)
.await
.map_err(|e| e.to_string()),
Err(err) => Err(err.to_string()),
};
@@ -464,11 +414,6 @@ async fn non_streamed_chat(
}
}
// Record success in analytics
let mut aggregate = aggregate;
aggregate.succeed(start_time.elapsed());
analytics.publish(aggregate, &req);
Ok(HttpResponse::Ok().json(response))
}
@@ -479,7 +424,6 @@ async fn streamed_chat(
workspace_uid: &str,
req: HttpRequest,
mut chat_completion: CreateChatCompletionRequest,
analytics: web::Data<Analytics>,
) -> Result<impl Responder, ResponseError> {
index_scheduler.features().check_chat_completions("using the /chats chat completions route")?;
let filters = index_scheduler.filters();
@@ -501,14 +445,6 @@ async fn streamed_chat(
}
};
// Create analytics aggregator
let mut aggregate = ChatCompletionAggregator::from_request(
&chat_completion.model,
chat_completion.messages.len(),
true, // streamed_chat is always streaming
);
let start_time = std::time::Instant::now();
let config = Config::new(&chat_settings);
let auth_token = extract_token_from_request(&req)?.unwrap().to_string();
let system_role = chat_settings.source.system_role(&chat_completion.model);
@@ -524,7 +460,6 @@ async fn streamed_chat(
let (tx, rx) = tokio::sync::mpsc::channel(10);
let tx = SseEventSender::new(tx);
let workspace_uid = workspace_uid.to_string();
let _join_handle = Handle::current().spawn(async move {
let client = Client::with_config(config.clone());
let mut global_tool_calls = HashMap::<u32, Call>::new();
@@ -534,7 +469,6 @@ async fn streamed_chat(
let output = run_conversation(
&index_scheduler,
&auth_ctrl,
&workspace_uid,
&search_queue,
&auth_token,
&client,
@@ -556,10 +490,6 @@ async fn streamed_chat(
let _ = tx.stop().await;
});
// Record success in analytics after the stream is set up
aggregate.succeed(start_time.elapsed());
analytics.publish(aggregate, &req);
Ok(Sse::from_infallible_receiver(rx).with_retry_duration(Duration::from_secs(10)))
}
@@ -572,7 +502,6 @@ async fn run_conversation<C: async_openai::config::Config>(
Data<IndexScheduler>,
>,
auth_ctrl: &web::Data<AuthController>,
workspace_uid: &str,
search_queue: &web::Data<SearchQueue>,
auth_token: &str,
client: &Client<C>,
@@ -582,34 +511,13 @@ async fn run_conversation<C: async_openai::config::Config>(
global_tool_calls: &mut HashMap<u32, Call>,
function_support: FunctionSupport,
) -> Result<ControlFlow<Option<FinishReason>, ()>, SendError<Event>> {
use DbChatCompletionSource::*;
let mut finish_reason = None;
chat_completion.stream_options = match source {
OpenAi | AzureOpenAi => Some(ChatCompletionStreamOptions { include_usage: true }),
Mistral | VLlm => None,
};
// safety: unwrap: can only happens if `stream` was set to `false`
let mut response = client.chat().create_stream(chat_completion.clone()).await.unwrap();
while let Some(result) = response.next().await {
match result {
Ok(resp) => {
if let Some(usage) = resp.usage.as_ref() {
MEILISEARCH_CHAT_PROMPT_TOKENS_TOTAL
.with_label_values(&[workspace_uid, &chat_completion.model])
.inc_by(usage.prompt_tokens as u64);
MEILISEARCH_CHAT_COMPLETION_TOKENS_TOTAL
.with_label_values(&[workspace_uid, &chat_completion.model])
.inc_by(usage.completion_tokens as u64);
MEILISEARCH_CHAT_TOKENS_TOTAL
.with_label_values(&[workspace_uid, &chat_completion.model])
.inc_by(usage.total_tokens as u64);
}
let choice = match resp.choices.first() {
Some(choice) => choice,
None => break,
};
let choice = &resp.choices[0];
finish_reason = choice.finish_reason;
let ChatCompletionStreamResponseDelta { ref tool_calls, .. } = &choice.delta;
@@ -751,14 +659,13 @@ async fn handle_meili_tools(
let mut error = None;
let result = match serde_json::from_str(&call.function.arguments) {
Ok(SearchInIndexParameters { index_uid, q, filter }) => match process_search_request(
Ok(SearchInIndexParameters { index_uid, q }) => match process_search_request(
index_scheduler,
auth_ctrl.clone(),
search_queue,
auth_token,
index_uid,
q,
filter,
)
.await
{
@@ -834,42 +741,4 @@ struct SearchInIndexParameters {
index_uid: String,
/// The query parameter to use.
q: Option<String>,
/// The filter parameter to use.
filter: Option<String>,
}
fn format_facet_distributions(
index: &Index,
rtxn: &RoTxn,
max_values_per_facet: usize,
) -> meilisearch_types::milli::Result<String> {
let universe = index.documents_ids(rtxn)?;
let rules = index.filterable_attributes_rules(rtxn)?;
let fields_ids_map = index.fields_ids_map(rtxn)?;
let filterable_attributes = fields_ids_map
.names()
.filter(|name| rules.iter().any(|rule| matches!(rule.match_str(name), PatternMatch::Match)))
.map(|name| (name, OrderBy::Count));
let facets_distribution = index
.facets_distribution(rtxn)
.max_values_per_facet(max_values_per_facet)
.candidates(universe)
.facets(filterable_attributes)
.execute()?;
let mut output = String::new();
for (facet_name, entries) in facets_distribution {
let _ = write!(&mut output, "{}: ", facet_name);
let total_entries = entries.len();
for (i, (value, _count)) in entries.into_iter().enumerate() {
let _ = if total_entries.saturating_sub(1) == i {
write!(&mut output, "{value}.")
} else {
write!(&mut output, "{value}, ")
};
}
let _ = writeln!(&mut output);
}
Ok(output)
}

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