Compare commits

...

14 Commits

Author SHA1 Message Date
ManyTheFish
60bfd3aef1 Send directly each chunk to the main thread instead of merging them at the end of the extracting 2024-01-22 16:30:27 +01:00
ManyTheFish
5027eea1a8 Remove append function 2024-01-22 16:30:09 +01:00
ManyTheFish
5079fb4b14 Compute chunk size based on the input data size ant the number of indexing threads 2024-01-22 16:29:44 +01:00
meili-bors[bot]
8e016fbfeb Merge #4319
4319: Update README r=curquiza a=codesmith-emmy

# Pull Request

## Related issue
Fixes #<issue_number>

## What does this PR do?
- ...

## PR checklist
Please check if your PR fulfills the following requirements:
- [ ] Does this PR fix an existing issue, or have you listed the changes applied in the PR description (and why they are needed)?
- [ ] Have you read the contributing guidelines?
- [ ] Have you made sure that the title is accurate and descriptive of the changes?

Thank you so much for contributing to Meilisearch!


Co-authored-by: emmanuel <154705254+codesmith-emmy@users.noreply.github.com>
2024-01-15 18:41:14 +00:00
meili-bors[bot]
1ccde9bf0b Merge #4316
4316: Autobatch the task deletions r=curquiza a=irevoire

# Pull Request

## Related issue
Fix part of https://github.com/meilisearch/meilisearch-support/issues/69
Fix #4315 

## What does this PR do?
- Autobatch the task deletions

Co-authored-by: Tamo <tamo@meilisearch.com>
2024-01-15 17:54:50 +00:00
meili-bors[bot]
34e814f400 Merge #4327
4327: Bring back changes from `release-v1.6.0` to `main` r=dureuill a=curquiza



Co-authored-by: Paul Sanders <psanders1@gmail.com>
Co-authored-by: meili-bors[bot] <89034592+meili-bors[bot]@users.noreply.github.com>
Co-authored-by: Louis Dureuil <louis.dureuil@xinra.net>
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
Co-authored-by: Morgane Dubus <30866152+mdubus@users.noreply.github.com>
2024-01-15 16:52:05 +00:00
emmanuel
552127021f Update 2024-01-12 16:03:23 +01:00
Tamo
b4d7d80ad9 autobatch the task deletions 2024-01-11 14:58:07 +01:00
meili-bors[bot]
5204c0b60b Merge #4297
4297: Update license for 2024 r=curquiza a=meili-bot

_This PR is auto-generated._


Co-authored-by: meili-bot <74670311+meili-bot@users.noreply.github.com>
2024-01-03 13:54:19 +00:00
meili-bot
e73cd692db Update LICENSE 2024-01-03 14:32:41 +01:00
meili-bors[bot]
29b453346b Merge #4293
4293: Update SDK test dependencies r=curquiza a=curquiza

Replace dependabot updates

The changes are really un-impactful for the engine team velocity because is about a CI
- that does not run during release deployment
- that does not run to merge a PR

It's only a weekly scheduled CI to check the breaking we introduced in the integrations.

I updated the dependencies based on what we do on the integration CIs
For example for dart, I looked at what we have in the [Dart CI](63fd758882/.github/workflows/tests.yml (L16-L54)) and I updated our CI in this repo accordingly. I did the same for each repository. This ensures we test the same things.


Co-authored-by: curquiza <clementine@meilisearch.com>
2024-01-03 13:26:50 +00:00
meili-bors[bot]
c4bb435374 Merge #4295
4295: fix compilation warnings on main r=curquiza a=irevoire

# Pull Request

## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4292

## What does this PR do?
- Removed unused imports

#4294 fixes the issue for the release v1.6

Co-authored-by: Tamo <tamo@meilisearch.com>
2024-01-02 15:33:06 +00:00
Tamo
2bcff2ea46 fix warning 2024-01-02 15:19:00 +01:00
curquiza
1275e72e0b Update SDK test dependencies 2024-01-02 09:59:46 +01:00
14 changed files with 341 additions and 517 deletions

View File

@@ -22,7 +22,7 @@ jobs:
outputs:
docker-image: ${{ steps.define-image.outputs.docker-image }}
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
- name: Define the Docker image we need to use
id: define-image
run: |
@@ -46,11 +46,11 @@ jobs:
MEILISEARCH_VERSION: ${{ needs.define-docker-image.outputs.docker-image }}
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-dotnet
- name: Setup .NET Core
uses: actions/setup-dotnet@v3
uses: actions/setup-dotnet@v4
with:
dotnet-version: "6.0.x"
- name: Install dependencies
@@ -75,12 +75,12 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-dart
- uses: dart-lang/setup-dart@v1
with:
sdk: 3.1.1
sdk: 'latest'
- name: Install dependencies
run: dart pub get
- name: Run integration tests
@@ -100,10 +100,10 @@ jobs:
- '7700:7700'
steps:
- name: Set up Go
uses: actions/setup-go@v4
uses: actions/setup-go@v5
with:
go-version: stable
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-go
- name: Get dependencies
@@ -129,11 +129,11 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-java
- name: Set up Java
uses: actions/setup-java@v3
uses: actions/setup-java@v4
with:
java-version: 8
distribution: 'zulu'
@@ -156,7 +156,7 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-js
- name: Setup node
@@ -191,7 +191,7 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-php
- name: Install PHP
@@ -220,11 +220,11 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-python
- name: Set up Python
uses: actions/setup-python@v4
uses: actions/setup-python@v5
- name: Install pipenv
uses: dschep/install-pipenv-action@v1
- name: Install dependencies
@@ -245,7 +245,7 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-ruby
- name: Set up Ruby 3
@@ -270,7 +270,7 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-rust
- name: Build
@@ -291,7 +291,7 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-swift
- name: Run tests
@@ -314,7 +314,7 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-js-plugins
- name: Setup node
@@ -345,7 +345,7 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-rails
- name: Set up Ruby 3
@@ -369,7 +369,7 @@ jobs:
ports:
- '7700:7700'
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
repository: meilisearch/meilisearch-symfony
- name: Install PHP

View File

@@ -1,6 +1,6 @@
MIT License
Copyright (c) 2019-2022 Meili SAS
Copyright (c) 2019-2024 Meili SAS
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal

View File

@@ -42,7 +42,7 @@ Meilisearch helps you shape a delightful search experience in a snap, offering f
- **Search-as-you-type:** find search results in less than 50 milliseconds
- **[Typo tolerance](https://www.meilisearch.com/docs/learn/getting_started/customizing_relevancy?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features#typo-tolerance):** get relevant matches even when queries contain typos and misspellings
- **[Filtering](https://www.meilisearch.com/docs/learn/fine_tuning_results/filtering?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features) and [faceted search](https://www.meilisearch.com/docs/learn/fine_tuning_results/faceted_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** enhance your user's search experience with custom filters and build a faceted search interface in a few lines of code
- **[Filtering](https://www.meilisearch.com/docs/learn/fine_tuning_results/filtering?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features) and [faceted search](https://www.meilisearch.com/docs/learn/fine_tuning_results/faceted_search?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** enhance your users' search experience with custom filters and build a faceted search interface in a few lines of code
- **[Sorting](https://www.meilisearch.com/docs/learn/fine_tuning_results/sorting?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** sort results based on price, date, or pretty much anything else your users need
- **[Synonym support](https://www.meilisearch.com/docs/learn/getting_started/customizing_relevancy?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features#synonyms):** configure synonyms to include more relevant content in your search results
- **[Geosearch](https://www.meilisearch.com/docs/learn/fine_tuning_results/geosearch?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=features):** filter and sort documents based on geographic data

View File

@@ -60,7 +60,7 @@ pub(crate) enum Batch {
/// The list of tasks that were processing when this task cancelation appeared.
previous_processing_tasks: RoaringBitmap,
},
TaskDeletion(Task),
TaskDeletions(Vec<Task>),
SnapshotCreation(Vec<Task>),
Dump(Task),
IndexOperation {
@@ -146,13 +146,12 @@ impl Batch {
pub fn ids(&self) -> Vec<TaskId> {
match self {
Batch::TaskCancelation { task, .. }
| Batch::TaskDeletion(task)
| Batch::Dump(task)
| Batch::IndexCreation { task, .. }
| Batch::IndexUpdate { task, .. } => vec![task.uid],
Batch::SnapshotCreation(tasks) | Batch::IndexDeletion { tasks, .. } => {
tasks.iter().map(|task| task.uid).collect()
}
Batch::SnapshotCreation(tasks)
| Batch::TaskDeletions(tasks)
| Batch::IndexDeletion { tasks, .. } => tasks.iter().map(|task| task.uid).collect(),
Batch::IndexOperation { op, .. } => match op {
IndexOperation::DocumentOperation { tasks, .. }
| IndexOperation::Settings { tasks, .. }
@@ -180,7 +179,7 @@ impl Batch {
use Batch::*;
match self {
TaskCancelation { .. }
| TaskDeletion(_)
| TaskDeletions(_)
| SnapshotCreation(_)
| Dump(_)
| IndexSwap { .. } => None,
@@ -199,7 +198,7 @@ impl fmt::Display for Batch {
let tasks = self.ids();
match self {
Batch::TaskCancelation { .. } => f.write_str("TaskCancelation")?,
Batch::TaskDeletion(_) => f.write_str("TaskDeletion")?,
Batch::TaskDeletions(_) => f.write_str("TaskDeletion")?,
Batch::SnapshotCreation(_) => f.write_str("SnapshotCreation")?,
Batch::Dump(_) => f.write_str("Dump")?,
Batch::IndexOperation { op, .. } => write!(f, "{op}")?,
@@ -539,9 +538,9 @@ impl IndexScheduler {
// 2. we get the next task to delete
let to_delete = self.get_kind(rtxn, Kind::TaskDeletion)? & enqueued;
if let Some(task_id) = to_delete.min() {
let task = self.get_task(rtxn, task_id)?.ok_or(Error::CorruptedTaskQueue)?;
return Ok(Some(Batch::TaskDeletion(task)));
if !to_delete.is_empty() {
let tasks = self.get_existing_tasks(rtxn, to_delete)?;
return Ok(Some(Batch::TaskDeletions(tasks)));
}
// 3. we batch the snapshot.
@@ -681,31 +680,43 @@ impl IndexScheduler {
Ok(vec![task])
}
Batch::TaskDeletion(mut task) => {
Batch::TaskDeletions(mut tasks) => {
// 1. Retrieve the tasks that matched the query at enqueue-time.
let matched_tasks =
let mut matched_tasks = RoaringBitmap::new();
for task in tasks.iter() {
if let KindWithContent::TaskDeletion { tasks, query: _ } = &task.kind {
tasks
matched_tasks |= tasks;
} else {
unreachable!()
}
}
let mut wtxn = self.env.write_txn()?;
let mut deleted_tasks = self.delete_matched_tasks(&mut wtxn, &matched_tasks)?;
wtxn.commit()?;
for task in tasks.iter_mut() {
task.status = Status::Succeeded;
let KindWithContent::TaskDeletion { tasks, query: _ } = &task.kind else {
unreachable!()
};
let mut wtxn = self.env.write_txn()?;
let deleted_tasks_count = self.delete_matched_tasks(&mut wtxn, matched_tasks)?;
let deleted_tasks_count = deleted_tasks.intersection_len(tasks);
deleted_tasks -= tasks;
task.status = Status::Succeeded;
match &mut task.details {
Some(Details::TaskDeletion {
matched_tasks: _,
deleted_tasks,
original_filter: _,
}) => {
*deleted_tasks = Some(deleted_tasks_count);
match &mut task.details {
Some(Details::TaskDeletion {
matched_tasks: _,
deleted_tasks,
original_filter: _,
}) => {
*deleted_tasks = Some(deleted_tasks_count);
}
_ => unreachable!(),
}
_ => unreachable!(),
}
wtxn.commit()?;
Ok(vec![task])
Ok(tasks)
}
Batch::SnapshotCreation(mut tasks) => {
fs::create_dir_all(&self.snapshots_path)?;
@@ -1435,7 +1446,11 @@ impl IndexScheduler {
/// Delete each given task from all the databases (if it is deleteable).
///
/// Return the number of tasks that were actually deleted.
fn delete_matched_tasks(&self, wtxn: &mut RwTxn, matched_tasks: &RoaringBitmap) -> Result<u64> {
fn delete_matched_tasks(
&self,
wtxn: &mut RwTxn,
matched_tasks: &RoaringBitmap,
) -> Result<RoaringBitmap> {
// 1. Remove from this list the tasks that we are not allowed to delete
let enqueued_tasks = self.get_status(wtxn, Status::Enqueued)?;
let processing_tasks = &self.processing_tasks.read().unwrap().processing.clone();
@@ -1500,7 +1515,7 @@ impl IndexScheduler {
}
}
Ok(to_delete_tasks.len())
Ok(to_delete_tasks)
}
/// Cancel each given task from all the databases (if it is cancelable).

View File

@@ -2244,10 +2244,7 @@ mod tests {
.unwrap();
index_scheduler.assert_internally_consistent();
}
for _ in 0..2 {
handle.advance_one_successful_batch();
index_scheduler.assert_internally_consistent();
}
handle.advance_one_successful_batch();
snapshot!(snapshot_index_scheduler(&index_scheduler), name: "task_deletion_processed");
}

View File

@@ -34,12 +34,10 @@ catto: { number_of_documents: 1, field_distribution: {"id": 1} }
[timestamp] [3,]
----------------------------------------------------------------------
### Started At:
[timestamp] [2,]
[timestamp] [3,]
[timestamp] [2,3,]
----------------------------------------------------------------------
### Finished At:
[timestamp] [2,]
[timestamp] [3,]
[timestamp] [2,3,]
----------------------------------------------------------------------
### File Store:
00000000-0000-0000-0000-000000000001

View File

@@ -26,7 +26,7 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
obkv_documents: grenad::Reader<R>,
indexer: GrenadParameters,
searchable_fields: &Option<HashSet<FieldId>>,
stop_words: Option<&fst::Set<&[u8]>>,
stop_words: Option<&fst::Set<Vec<u8>>>,
allowed_separators: Option<&[&str]>,
dictionary: Option<&[&str]>,
max_positions_per_attributes: Option<u32>,
@@ -181,11 +181,11 @@ fn searchable_fields_changed(
/// Factorize tokenizer building.
fn tokenizer_builder<'a>(
stop_words: Option<&'a fst::Set<&[u8]>>,
stop_words: Option<&'a fst::Set<Vec<u8>>>,
allowed_separators: Option<&'a [&str]>,
dictionary: Option<&'a [&str]>,
script_language: Option<&'a HashMap<Script, Vec<Language>>>,
) -> TokenizerBuilder<'a, &'a [u8]> {
) -> TokenizerBuilder<'a, Vec<u8>> {
let mut tokenizer_builder = TokenizerBuilder::new();
if let Some(stop_words) = stop_words {
tokenizer_builder.stop_words(stop_words);
@@ -211,7 +211,7 @@ fn lang_safe_tokens_from_document<'a>(
obkv: &KvReader<FieldId>,
searchable_fields: &Option<HashSet<FieldId>>,
tokenizer: &Tokenizer,
stop_words: Option<&fst::Set<&[u8]>>,
stop_words: Option<&fst::Set<Vec<u8>>>,
allowed_separators: Option<&[&str]>,
dictionary: Option<&[&str]>,
max_positions_per_attributes: u32,

View File

@@ -14,7 +14,6 @@ use std::fs::File;
use std::io::BufReader;
use crossbeam_channel::Sender;
use log::debug;
use rayon::prelude::*;
use self::extract_docid_word_positions::extract_docid_word_positions;
@@ -29,10 +28,7 @@ use self::extract_vector_points::{
use self::extract_word_docids::extract_word_docids;
use self::extract_word_pair_proximity_docids::extract_word_pair_proximity_docids;
use self::extract_word_position_docids::extract_word_position_docids;
use super::helpers::{
as_cloneable_grenad, merge_deladd_cbo_roaring_bitmaps, CursorClonableMmap, GrenadParameters,
MergeFn, MergeableReader,
};
use super::helpers::{as_cloneable_grenad, CursorClonableMmap, GrenadParameters};
use super::{helpers, TypedChunk};
use crate::proximity::ProximityPrecision;
use crate::vector::EmbeddingConfigs;
@@ -51,7 +47,7 @@ pub(crate) fn data_from_obkv_documents(
primary_key_id: FieldId,
geo_fields_ids: Option<(FieldId, FieldId)>,
field_id_map: FieldsIdsMap,
stop_words: Option<fst::Set<&[u8]>>,
stop_words: Option<fst::Set<Vec<u8>>>,
allowed_separators: Option<&[&str]>,
dictionary: Option<&[&str]>,
max_positions_per_attributes: Option<u32>,
@@ -61,218 +57,170 @@ pub(crate) fn data_from_obkv_documents(
) -> Result<()> {
puffin::profile_function!();
original_obkv_chunks
.par_bridge()
.map(|original_documents_chunk| {
send_original_documents_data(
original_documents_chunk,
indexer,
lmdb_writer_sx.clone(),
field_id_map.clone(),
embedders.clone(),
)
})
.collect::<Result<()>>()?;
#[allow(clippy::type_complexity)]
let result: Result<(Vec<_>, (Vec<_>, (Vec<_>, (Vec<_>, (Vec<_>, Vec<_>)))))> =
flattened_obkv_chunks
.par_bridge()
.map(|flattened_obkv_chunks| {
send_and_extract_flattened_documents_data(
flattened_obkv_chunks,
indexer,
lmdb_writer_sx.clone(),
&searchable_fields,
&faceted_fields,
primary_key_id,
geo_fields_ids,
&stop_words,
&allowed_separators,
&dictionary,
max_positions_per_attributes,
)
})
.collect();
let (
docid_word_positions_chunks,
(
fid_docid_facet_numbers_chunks,
(
fid_docid_facet_strings_chunks,
(
facet_is_null_docids_chunks,
(facet_is_empty_docids_chunks, facet_exists_docids_chunks),
),
),
),
) = result?;
// merge facet_exists_docids and send them as a typed chunk
{
let lmdb_writer_sx = lmdb_writer_sx.clone();
rayon::spawn(move || {
debug!("merge {} database", "facet-id-exists-docids");
match facet_exists_docids_chunks.merge(merge_deladd_cbo_roaring_bitmaps, &indexer) {
Ok(reader) => {
let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdFacetExistsDocids(reader)));
}
Err(e) => {
let _ = lmdb_writer_sx.send(Err(e));
}
}
});
}
// merge facet_is_null_docids and send them as a typed chunk
{
let lmdb_writer_sx = lmdb_writer_sx.clone();
rayon::spawn(move || {
debug!("merge {} database", "facet-id-is-null-docids");
match facet_is_null_docids_chunks.merge(merge_deladd_cbo_roaring_bitmaps, &indexer) {
Ok(reader) => {
let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdFacetIsNullDocids(reader)));
}
Err(e) => {
let _ = lmdb_writer_sx.send(Err(e));
}
}
});
}
// merge facet_is_empty_docids and send them as a typed chunk
{
let lmdb_writer_sx = lmdb_writer_sx.clone();
rayon::spawn(move || {
debug!("merge {} database", "facet-id-is-empty-docids");
match facet_is_empty_docids_chunks.merge(merge_deladd_cbo_roaring_bitmaps, &indexer) {
Ok(reader) => {
let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdFacetIsEmptyDocids(reader)));
}
Err(e) => {
let _ = lmdb_writer_sx.send(Err(e));
}
}
});
}
if proximity_precision == ProximityPrecision::ByWord {
spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
docid_word_positions_chunks.clone(),
indexer,
lmdb_writer_sx.clone(),
extract_word_pair_proximity_docids,
merge_deladd_cbo_roaring_bitmaps,
TypedChunk::WordPairProximityDocids,
"word-pair-proximity-docids",
);
}
spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
docid_word_positions_chunks.clone(),
indexer,
lmdb_writer_sx.clone(),
extract_fid_word_count_docids,
merge_deladd_cbo_roaring_bitmaps,
TypedChunk::FieldIdWordCountDocids,
"field-id-wordcount-docids",
);
spawn_extraction_task::<
_,
_,
Vec<(
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
)>,
>(
docid_word_positions_chunks.clone(),
indexer,
lmdb_writer_sx.clone(),
move |doc_word_pos, indexer| extract_word_docids(doc_word_pos, indexer, &exact_attributes),
merge_deladd_cbo_roaring_bitmaps,
|(word_docids_reader, exact_word_docids_reader, word_fid_docids_reader)| {
TypedChunk::WordDocids {
word_docids_reader,
exact_word_docids_reader,
word_fid_docids_reader,
}
let (original_pipeline_result, flattened_pipeline_result): (Result<_>, Result<_>) = rayon::join(
|| {
original_obkv_chunks
.par_bridge()
.map(|original_documents_chunk| {
send_original_documents_data(
original_documents_chunk,
indexer,
lmdb_writer_sx.clone(),
field_id_map.clone(),
embedders.clone(),
)
})
.collect::<Result<()>>()
},
|| {
flattened_obkv_chunks
.par_bridge()
.map(|flattened_obkv_chunks| {
send_and_extract_flattened_documents_data(
flattened_obkv_chunks,
indexer,
lmdb_writer_sx.clone(),
&searchable_fields,
&faceted_fields,
primary_key_id,
geo_fields_ids,
&stop_words,
&allowed_separators,
&dictionary,
max_positions_per_attributes,
)
})
.inspect(|result| {
if proximity_precision == ProximityPrecision::ByWord {
if let Ok((docid_word_positions_chunk, _)) = result {
run_extraction_task::<_, _, grenad::Reader<BufReader<File>>>(
docid_word_positions_chunk.clone(),
indexer,
lmdb_writer_sx.clone(),
extract_word_pair_proximity_docids,
TypedChunk::WordPairProximityDocids,
"word-pair-proximity-docids",
);
}
}
})
.inspect(|result| {
if let Ok((docid_word_positions_chunk, _)) = result {
run_extraction_task::<_, _, grenad::Reader<BufReader<File>>>(
docid_word_positions_chunk.clone(),
indexer,
lmdb_writer_sx.clone(),
extract_fid_word_count_docids,
TypedChunk::FieldIdWordCountDocids,
"field-id-wordcount-docids",
);
}
})
.inspect(|result| {
if let Ok((docid_word_positions_chunk, _)) = result {
let exact_attributes = exact_attributes.clone();
run_extraction_task::<
_,
_,
(
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
),
>(
docid_word_positions_chunk.clone(),
indexer,
lmdb_writer_sx.clone(),
move |doc_word_pos, indexer| {
extract_word_docids(doc_word_pos, indexer, &exact_attributes)
},
|(
word_docids_reader,
exact_word_docids_reader,
word_fid_docids_reader,
)| {
TypedChunk::WordDocids {
word_docids_reader,
exact_word_docids_reader,
word_fid_docids_reader,
}
},
"word-docids",
);
}
})
.inspect(|result| {
if let Ok((docid_word_positions_chunk, _)) = result {
run_extraction_task::<_, _, grenad::Reader<BufReader<File>>>(
docid_word_positions_chunk.clone(),
indexer,
lmdb_writer_sx.clone(),
extract_word_position_docids,
TypedChunk::WordPositionDocids,
"word-position-docids",
);
}
})
.inspect(|result| {
if let Ok((_, (_, fid_docid_facet_strings_chunk))) = result {
run_extraction_task::<_, _, grenad::Reader<BufReader<File>>>(
fid_docid_facet_strings_chunk.clone(),
indexer,
lmdb_writer_sx.clone(),
extract_facet_string_docids,
TypedChunk::FieldIdFacetStringDocids,
"field-id-facet-string-docids",
);
}
})
.inspect(|result| {
if let Ok((_, (fid_docid_facet_numbers_chunk, _))) = result {
run_extraction_task::<_, _, grenad::Reader<BufReader<File>>>(
fid_docid_facet_numbers_chunk.clone(),
indexer,
lmdb_writer_sx.clone(),
extract_facet_number_docids,
TypedChunk::FieldIdFacetNumberDocids,
"field-id-facet-number-docids",
);
}
})
.map(|r| r.map(|_| ()))
.collect::<Result<()>>()
},
"word-docids",
);
spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
docid_word_positions_chunks.clone(),
indexer,
lmdb_writer_sx.clone(),
extract_word_position_docids,
merge_deladd_cbo_roaring_bitmaps,
TypedChunk::WordPositionDocids,
"word-position-docids",
);
spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
fid_docid_facet_strings_chunks,
indexer,
lmdb_writer_sx.clone(),
extract_facet_string_docids,
merge_deladd_cbo_roaring_bitmaps,
TypedChunk::FieldIdFacetStringDocids,
"field-id-facet-string-docids",
);
spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
fid_docid_facet_numbers_chunks,
indexer,
lmdb_writer_sx,
extract_facet_number_docids,
merge_deladd_cbo_roaring_bitmaps,
TypedChunk::FieldIdFacetNumberDocids,
"field-id-facet-number-docids",
);
Ok(())
original_pipeline_result.and(flattened_pipeline_result)
}
/// Spawn a new task to extract data for a specific DB using extract_fn.
/// Generated grenad chunks are merged using the merge_fn.
/// The result of merged chunks is serialized as TypedChunk using the serialize_fn
/// and sent into lmdb_writer_sx.
fn spawn_extraction_task<FE, FS, M>(
chunks: Vec<grenad::Reader<CursorClonableMmap>>,
fn run_extraction_task<FE, FS, M>(
chunk: grenad::Reader<CursorClonableMmap>,
indexer: GrenadParameters,
lmdb_writer_sx: Sender<Result<TypedChunk>>,
extract_fn: FE,
merge_fn: MergeFn,
serialize_fn: FS,
name: &'static str,
) where
FE: Fn(grenad::Reader<CursorClonableMmap>, GrenadParameters) -> Result<M::Output>
FE: Fn(grenad::Reader<CursorClonableMmap>, GrenadParameters) -> Result<M>
+ Sync
+ Send
+ 'static,
FS: Fn(M::Output) -> TypedChunk + Sync + Send + 'static,
M: MergeableReader + FromParallelIterator<M::Output> + Send + 'static,
M::Output: Send,
FS: Fn(M) -> TypedChunk + Sync + Send + 'static,
M: Send,
{
rayon::spawn(move || {
puffin::profile_scope!("extract_multiple_chunks", name);
let chunks: Result<M> =
chunks.into_par_iter().map(|chunk| extract_fn(chunk, indexer)).collect();
rayon::spawn(move || match chunks {
Ok(chunks) => {
debug!("merge {} database", name);
puffin::profile_scope!("merge_multiple_chunks", name);
let reader = chunks.merge(merge_fn, &indexer);
let _ = lmdb_writer_sx.send(reader.map(serialize_fn));
}
Err(e) => {
let _ = lmdb_writer_sx.send(Err(e));
}
})
});
puffin::profile_scope!("extract_chunk", name);
match extract_fn(chunk, indexer) {
Ok(chunk) => {
let _ = lmdb_writer_sx.send(Ok(serialize_fn(chunk)));
}
Err(e) => {
let _ = lmdb_writer_sx.send(Err(e));
}
}
}
/// Extract chunked data and send it into lmdb_writer_sx sender:
@@ -350,22 +298,13 @@ fn send_and_extract_flattened_documents_data(
faceted_fields: &HashSet<FieldId>,
primary_key_id: FieldId,
geo_fields_ids: Option<(FieldId, FieldId)>,
stop_words: &Option<fst::Set<&[u8]>>,
stop_words: &Option<fst::Set<Vec<u8>>>,
allowed_separators: &Option<&[&str]>,
dictionary: &Option<&[&str]>,
max_positions_per_attributes: Option<u32>,
) -> Result<(
grenad::Reader<CursorClonableMmap>,
(
grenad::Reader<CursorClonableMmap>,
(
grenad::Reader<CursorClonableMmap>,
(
grenad::Reader<BufReader<File>>,
(grenad::Reader<BufReader<File>>, grenad::Reader<BufReader<File>>),
),
),
),
(grenad::Reader<CursorClonableMmap>, grenad::Reader<CursorClonableMmap>),
)> {
let flattened_documents_chunk =
flattened_documents_chunk.and_then(|c| unsafe { as_cloneable_grenad(&c) })?;
@@ -436,16 +375,17 @@ fn send_and_extract_flattened_documents_data(
fid_docid_facet_strings_chunk.clone(),
)));
Ok((
fid_docid_facet_numbers_chunk,
(
fid_docid_facet_strings_chunk,
(
fid_facet_is_null_docids_chunk,
(fid_facet_is_empty_docids_chunk, fid_facet_exists_docids_chunk),
),
),
))
let _ = lmdb_writer_sx
.send(Ok(TypedChunk::FieldIdFacetIsNullDocids(fid_facet_is_null_docids_chunk)));
let _ = lmdb_writer_sx.send(Ok(TypedChunk::FieldIdFacetIsEmptyDocids(
fid_facet_is_empty_docids_chunk,
)));
let _ = lmdb_writer_sx
.send(Ok(TypedChunk::FieldIdFacetExistsDocids(fid_facet_exists_docids_chunk)));
Ok((fid_docid_facet_numbers_chunk, fid_docid_facet_strings_chunk))
},
);

View File

@@ -82,90 +82,6 @@ pub unsafe fn as_cloneable_grenad(
Ok(reader)
}
pub trait MergeableReader
where
Self: Sized,
{
type Output;
fn merge(self, merge_fn: MergeFn, indexer: &GrenadParameters) -> Result<Self::Output>;
}
impl MergeableReader for Vec<grenad::Reader<BufReader<File>>> {
type Output = grenad::Reader<BufReader<File>>;
fn merge(self, merge_fn: MergeFn, params: &GrenadParameters) -> Result<Self::Output> {
let mut merger = MergerBuilder::new(merge_fn);
self.into_iter().try_for_each(|r| merger.push(r))?;
merger.finish(params)
}
}
impl MergeableReader for Vec<(grenad::Reader<BufReader<File>>, grenad::Reader<BufReader<File>>)> {
type Output = (grenad::Reader<BufReader<File>>, grenad::Reader<BufReader<File>>);
fn merge(self, merge_fn: MergeFn, params: &GrenadParameters) -> Result<Self::Output> {
let mut m1 = MergerBuilder::new(merge_fn);
let mut m2 = MergerBuilder::new(merge_fn);
for (r1, r2) in self.into_iter() {
m1.push(r1)?;
m2.push(r2)?;
}
Ok((m1.finish(params)?, m2.finish(params)?))
}
}
impl MergeableReader
for Vec<(
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
)>
{
type Output = (
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
grenad::Reader<BufReader<File>>,
);
fn merge(self, merge_fn: MergeFn, params: &GrenadParameters) -> Result<Self::Output> {
let mut m1 = MergerBuilder::new(merge_fn);
let mut m2 = MergerBuilder::new(merge_fn);
let mut m3 = MergerBuilder::new(merge_fn);
for (r1, r2, r3) in self.into_iter() {
m1.push(r1)?;
m2.push(r2)?;
m3.push(r3)?;
}
Ok((m1.finish(params)?, m2.finish(params)?, m3.finish(params)?))
}
}
struct MergerBuilder<R>(grenad::MergerBuilder<R, MergeFn>);
impl<R: io::Read + io::Seek> MergerBuilder<R> {
fn new(merge_fn: MergeFn) -> Self {
Self(grenad::MergerBuilder::new(merge_fn))
}
fn push(&mut self, reader: grenad::Reader<R>) -> Result<()> {
self.0.push(reader.into_cursor()?);
Ok(())
}
fn finish(self, params: &GrenadParameters) -> Result<grenad::Reader<BufReader<File>>> {
let merger = self.0.build();
let mut writer = create_writer(
params.chunk_compression_type,
params.chunk_compression_level,
tempfile::tempfile()?,
);
merger.write_into_stream_writer(&mut writer)?;
writer_into_reader(writer)
}
}
#[derive(Debug, Clone, Copy)]
pub struct GrenadParameters {
pub chunk_compression_type: CompressionType,

View File

@@ -10,7 +10,7 @@ use fst::{IntoStreamer, Streamer};
pub use grenad_helpers::{
as_cloneable_grenad, create_sorter, create_writer, grenad_obkv_into_chunks,
merge_ignore_values, sorter_into_reader, write_sorter_into_database, writer_into_reader,
GrenadParameters, MergeableReader,
GrenadParameters,
};
pub use merge_functions::{
keep_first, keep_latest_obkv, merge_btreeset_string, merge_cbo_roaring_bitmaps,

View File

@@ -5,12 +5,13 @@ mod transform;
mod typed_chunk;
use std::collections::{HashMap, HashSet};
use std::io::{Cursor, Read, Seek};
use std::io::{Read, Seek};
use std::iter::FromIterator;
use std::num::NonZeroU32;
use std::result::Result as StdResult;
use crossbeam_channel::{Receiver, Sender};
use grenad::{Merger, MergerBuilder};
use heed::types::Str;
use heed::Database;
use log::debug;
@@ -313,9 +314,6 @@ where
}
};
let original_documents = grenad::Reader::new(original_documents)?;
let flattened_documents = grenad::Reader::new(flattened_documents)?;
// create LMDB writer channel
let (lmdb_writer_sx, lmdb_writer_rx): (
Sender<Result<TypedChunk>>,
@@ -354,11 +352,7 @@ where
let stop_words = self.index.stop_words(self.wtxn)?;
let separators = self.index.allowed_separators(self.wtxn)?;
let separators: Option<Vec<_>> =
separators.as_ref().map(|x| x.iter().map(String::as_str).collect());
let dictionary = self.index.dictionary(self.wtxn)?;
let dictionary: Option<Vec<_>> =
dictionary.as_ref().map(|x| x.iter().map(String::as_str).collect());
let exact_attributes = self.index.exact_attributes_ids(self.wtxn)?;
let proximity_precision = self.index.proximity_precision(self.wtxn)?.unwrap_or_default();
@@ -368,55 +362,77 @@ where
max_memory: self.indexer_config.max_memory,
max_nb_chunks: self.indexer_config.max_nb_chunks, // default value, may be chosen.
};
let documents_chunk_size =
self.indexer_config.documents_chunk_size.unwrap_or(1024 * 1024 * 4); // 4MiB
let documents_chunk_size = match self.indexer_config.documents_chunk_size {
Some(chunk_size) => chunk_size,
None => {
let default_chunk_size = 1024 * 1024 * 4; // 4MiB
let min_chunk_size = 1024 * 512; // 512KiB
// compute the chunk size from the number of available threads and the inputed data size.
let total_size = flattened_documents.metadata().map(|m| m.len());
let current_num_threads = pool.current_num_threads();
total_size
.map_or(default_chunk_size, |size| (size as usize) / current_num_threads)
.max(min_chunk_size)
}
};
let original_documents = grenad::Reader::new(original_documents)?;
let flattened_documents = grenad::Reader::new(flattened_documents)?;
let max_positions_per_attributes = self.indexer_config.max_positions_per_attributes;
let cloned_embedder = self.embedders.clone();
// Run extraction pipeline in parallel.
pool.install(|| {
puffin::profile_scope!("extract_and_send_grenad_chunks");
// split obkv file into several chunks
let original_chunk_iter =
grenad_obkv_into_chunks(original_documents, pool_params, documents_chunk_size);
let stop_words = stop_words.map(|sw| sw.map_data(Vec::from).unwrap());
rayon::spawn(move || {
puffin::profile_scope!("extract_and_send_grenad_chunks");
// split obkv file into several chunks
let original_chunk_iter =
grenad_obkv_into_chunks(original_documents, pool_params, documents_chunk_size);
// split obkv file into several chunks
let flattened_chunk_iter =
grenad_obkv_into_chunks(flattened_documents, pool_params, documents_chunk_size);
// split obkv file into several chunks
let flattened_chunk_iter =
grenad_obkv_into_chunks(flattened_documents, pool_params, documents_chunk_size);
let result = original_chunk_iter.and_then(|original_chunk| {
let flattened_chunk = flattened_chunk_iter?;
// extract all databases from the chunked obkv douments
extract::data_from_obkv_documents(
original_chunk,
flattened_chunk,
pool_params,
lmdb_writer_sx.clone(),
searchable_fields,
faceted_fields,
primary_key_id,
geo_fields_ids,
field_id_map,
stop_words,
separators.as_deref(),
dictionary.as_deref(),
max_positions_per_attributes,
exact_attributes,
proximity_precision,
cloned_embedder,
)
let separators: Option<Vec<_>> =
separators.as_ref().map(|x| x.iter().map(String::as_str).collect());
let dictionary: Option<Vec<_>> =
dictionary.as_ref().map(|x| x.iter().map(String::as_str).collect());
let result = original_chunk_iter.and_then(|original_chunk| {
let flattened_chunk = flattened_chunk_iter?;
// extract all databases from the chunked obkv douments
extract::data_from_obkv_documents(
original_chunk,
flattened_chunk,
pool_params,
lmdb_writer_sx.clone(),
searchable_fields,
faceted_fields,
primary_key_id,
geo_fields_ids,
field_id_map,
stop_words,
separators.as_deref(),
dictionary.as_deref(),
max_positions_per_attributes,
exact_attributes,
proximity_precision,
cloned_embedder,
)
});
if let Err(e) = result {
let _ = lmdb_writer_sx.send(Err(e));
}
// needs to be dropped to avoid channel waiting lock.
drop(lmdb_writer_sx);
});
if let Err(e) = result {
let _ = lmdb_writer_sx.send(Err(e));
}
// needs to be dropped to avoid channel waiting lock.
drop(lmdb_writer_sx);
});
let index_is_empty = self.index.number_of_documents(self.wtxn)? == 0;
let mut final_documents_ids = RoaringBitmap::new();
let mut databases_seen = 0;
@@ -444,12 +460,21 @@ where
word_fid_docids_reader,
} => {
let cloneable_chunk = unsafe { as_cloneable_grenad(&word_docids_reader)? };
word_docids = Some(cloneable_chunk);
let word_docids = word_docids.get_or_insert_with(|| {
MergerBuilder::new(merge_deladd_cbo_roaring_bitmaps as MergeFn)
});
word_docids.push(cloneable_chunk.into_cursor()?);
let cloneable_chunk =
unsafe { as_cloneable_grenad(&exact_word_docids_reader)? };
exact_word_docids = Some(cloneable_chunk);
let exact_word_docids = exact_word_docids.get_or_insert_with(|| {
MergerBuilder::new(merge_deladd_cbo_roaring_bitmaps as MergeFn)
});
exact_word_docids.push(cloneable_chunk.into_cursor()?);
let cloneable_chunk = unsafe { as_cloneable_grenad(&word_fid_docids_reader)? };
word_fid_docids = Some(cloneable_chunk);
let word_fid_docids = word_fid_docids.get_or_insert_with(|| {
MergerBuilder::new(merge_deladd_cbo_roaring_bitmaps as MergeFn)
});
word_fid_docids.push(cloneable_chunk.into_cursor()?);
TypedChunk::WordDocids {
word_docids_reader,
exact_word_docids_reader,
@@ -458,7 +483,10 @@ where
}
TypedChunk::WordPositionDocids(chunk) => {
let cloneable_chunk = unsafe { as_cloneable_grenad(&chunk)? };
word_position_docids = Some(cloneable_chunk);
let word_position_docids = word_position_docids.get_or_insert_with(|| {
MergerBuilder::new(merge_deladd_cbo_roaring_bitmaps as MergeFn)
});
word_position_docids.push(cloneable_chunk.into_cursor()?);
TypedChunk::WordPositionDocids(chunk)
}
TypedChunk::VectorPoints {
@@ -481,7 +509,7 @@ where
};
let (docids, is_merged_database) =
write_typed_chunk_into_index(typed_chunk, self.index, self.wtxn, index_is_empty)?;
write_typed_chunk_into_index(typed_chunk, self.index, self.wtxn)?;
if !docids.is_empty() {
final_documents_ids |= docids;
let documents_seen_count = final_documents_ids.len();
@@ -538,10 +566,10 @@ where
}
self.execute_prefix_databases(
word_docids,
exact_word_docids,
word_position_docids,
word_fid_docids,
word_docids.map(MergerBuilder::build),
exact_word_docids.map(MergerBuilder::build),
word_position_docids.map(MergerBuilder::build),
word_fid_docids.map(MergerBuilder::build),
)?;
Ok(number_of_documents)
@@ -550,10 +578,10 @@ where
#[logging_timer::time("IndexDocuments::{}")]
pub fn execute_prefix_databases(
self,
word_docids: Option<grenad::Reader<CursorClonableMmap>>,
exact_word_docids: Option<grenad::Reader<CursorClonableMmap>>,
word_position_docids: Option<grenad::Reader<CursorClonableMmap>>,
word_fid_docids: Option<grenad::Reader<CursorClonableMmap>>,
word_docids: Option<Merger<CursorClonableMmap, MergeFn>>,
exact_word_docids: Option<Merger<CursorClonableMmap, MergeFn>>,
word_position_docids: Option<Merger<CursorClonableMmap, MergeFn>>,
word_fid_docids: Option<Merger<CursorClonableMmap, MergeFn>>,
) -> Result<()>
where
FP: Fn(UpdateIndexingStep) + Sync,
@@ -728,7 +756,7 @@ where
#[allow(clippy::too_many_arguments)]
fn execute_word_prefix_docids(
txn: &mut heed::RwTxn,
reader: grenad::Reader<Cursor<ClonableMmap>>,
merger: Merger<CursorClonableMmap, MergeFn>,
word_docids_db: Database<Str, CboRoaringBitmapCodec>,
word_prefix_docids_db: Database<Str, CboRoaringBitmapCodec>,
indexer_config: &IndexerConfig,
@@ -738,13 +766,12 @@ fn execute_word_prefix_docids(
) -> Result<()> {
puffin::profile_function!();
let cursor = reader.into_cursor()?;
let mut builder = WordPrefixDocids::new(txn, word_docids_db, word_prefix_docids_db);
builder.chunk_compression_type = indexer_config.chunk_compression_type;
builder.chunk_compression_level = indexer_config.chunk_compression_level;
builder.max_nb_chunks = indexer_config.max_nb_chunks;
builder.max_memory = indexer_config.max_memory;
builder.execute(cursor, new_prefix_fst_words, common_prefix_fst_words, del_prefix_fst_words)?;
builder.execute(merger, new_prefix_fst_words, common_prefix_fst_words, del_prefix_fst_words)?;
Ok(())
}

View File

@@ -7,7 +7,7 @@ use bytemuck::allocation::pod_collect_to_vec;
use charabia::{Language, Script};
use grenad::MergerBuilder;
use heed::types::Bytes;
use heed::{PutFlags, RwTxn};
use heed::RwTxn;
use obkv::{KvReader, KvWriter};
use roaring::RoaringBitmap;
@@ -119,7 +119,6 @@ pub(crate) fn write_typed_chunk_into_index(
typed_chunk: TypedChunk,
index: &Index,
wtxn: &mut RwTxn,
index_is_empty: bool,
) -> Result<(RoaringBitmap, bool)> {
puffin::profile_function!(typed_chunk.to_debug_string());
@@ -172,11 +171,10 @@ pub(crate) fn write_typed_chunk_into_index(
index.put_documents_ids(wtxn, &docids)?;
}
TypedChunk::FieldIdWordCountDocids(fid_word_count_docids_iter) => {
append_entries_into_database(
write_entries_into_database(
fid_word_count_docids_iter,
&index.field_id_word_count_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
@@ -188,31 +186,28 @@ pub(crate) fn write_typed_chunk_into_index(
word_fid_docids_reader,
} => {
let word_docids_iter = unsafe { as_cloneable_grenad(&word_docids_reader) }?;
append_entries_into_database(
write_entries_into_database(
word_docids_iter.clone(),
&index.word_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
let exact_word_docids_iter = unsafe { as_cloneable_grenad(&exact_word_docids_reader) }?;
append_entries_into_database(
write_entries_into_database(
exact_word_docids_iter.clone(),
&index.exact_word_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
let word_fid_docids_iter = unsafe { as_cloneable_grenad(&word_fid_docids_reader) }?;
append_entries_into_database(
write_entries_into_database(
word_fid_docids_iter,
&index.word_fid_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
@@ -230,11 +225,10 @@ pub(crate) fn write_typed_chunk_into_index(
is_merged_database = true;
}
TypedChunk::WordPositionDocids(word_position_docids_iter) => {
append_entries_into_database(
write_entries_into_database(
word_position_docids_iter,
&index.word_position_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
@@ -251,44 +245,40 @@ pub(crate) fn write_typed_chunk_into_index(
is_merged_database = true;
}
TypedChunk::FieldIdFacetExistsDocids(facet_id_exists_docids) => {
append_entries_into_database(
write_entries_into_database(
facet_id_exists_docids,
&index.facet_id_exists_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
is_merged_database = true;
}
TypedChunk::FieldIdFacetIsNullDocids(facet_id_is_null_docids) => {
append_entries_into_database(
write_entries_into_database(
facet_id_is_null_docids,
&index.facet_id_is_null_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
is_merged_database = true;
}
TypedChunk::FieldIdFacetIsEmptyDocids(facet_id_is_empty_docids) => {
append_entries_into_database(
write_entries_into_database(
facet_id_is_empty_docids,
&index.facet_id_is_empty_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
is_merged_database = true;
}
TypedChunk::WordPairProximityDocids(word_pair_proximity_docids_iter) => {
append_entries_into_database(
write_entries_into_database(
word_pair_proximity_docids_iter,
&index.word_pair_proximity_docids,
wtxn,
index_is_empty,
deladd_serialize_add_side,
merge_deladd_cbo_roaring_bitmaps_into_cbo_roaring_bitmap,
)?;
@@ -541,7 +531,6 @@ fn write_entries_into_database<R, K, V, FS, FM>(
data: grenad::Reader<R>,
database: &heed::Database<K, V>,
wtxn: &mut RwTxn,
index_is_empty: bool,
serialize_value: FS,
merge_values: FM,
) -> Result<()>
@@ -559,13 +548,9 @@ where
while let Some((key, value)) = cursor.move_on_next()? {
if valid_lmdb_key(key) {
buffer.clear();
let value = if index_is_empty {
Some(serialize_value(value, &mut buffer)?)
} else {
match database.get(wtxn, key)? {
Some(prev_value) => merge_values(value, prev_value, &mut buffer)?,
None => Some(serialize_value(value, &mut buffer)?),
}
let value = match database.get(wtxn, key)? {
Some(prev_value) => merge_values(value, prev_value, &mut buffer)?,
None => Some(serialize_value(value, &mut buffer)?),
};
match value {
Some(value) => database.put(wtxn, key, value)?,
@@ -578,58 +563,3 @@ where
Ok(())
}
/// Write provided entries in database using serialize_value function.
/// merge_values function is used if an entry already exist in the database.
/// All provided entries must be ordered.
/// If the index is not empty, write_entries_into_database is called instead.
fn append_entries_into_database<R, K, V, FS, FM>(
data: grenad::Reader<R>,
database: &heed::Database<K, V>,
wtxn: &mut RwTxn,
index_is_empty: bool,
serialize_value: FS,
merge_values: FM,
) -> Result<()>
where
R: io::Read + io::Seek,
FS: for<'a> Fn(&'a [u8], &'a mut Vec<u8>) -> Result<&'a [u8]>,
FM: for<'a> Fn(&[u8], &[u8], &'a mut Vec<u8>) -> Result<Option<&'a [u8]>>,
K: for<'a> heed::BytesDecode<'a>,
{
puffin::profile_function!(format!("number of entries: {}", data.len()));
if !index_is_empty {
return write_entries_into_database(
data,
database,
wtxn,
false,
serialize_value,
merge_values,
);
}
let mut buffer = Vec::new();
let mut database = database.iter_mut(wtxn)?.remap_types::<Bytes, Bytes>();
let mut cursor = data.into_cursor()?;
while let Some((key, value)) = cursor.move_on_next()? {
if valid_lmdb_key(key) {
debug_assert!(
K::bytes_decode(key).is_ok(),
"Couldn't decode key with the database decoder, key length: {} - key bytes: {:x?}",
key.len(),
&key
);
buffer.clear();
let value = serialize_value(value, &mut buffer)?;
unsafe {
// safety: We do not keep a reference to anything that lives inside the database
database.put_current_with_options::<Bytes>(PutFlags::APPEND, key, value)?
};
}
}
Ok(())
}

View File

@@ -42,7 +42,7 @@ impl<'t, 'i> WordPrefixDocids<'t, 'i> {
#[logging_timer::time("WordPrefixDocids::{}")]
pub fn execute(
self,
mut new_word_docids_iter: grenad::ReaderCursor<CursorClonableMmap>,
new_word_docids: grenad::Merger<CursorClonableMmap, MergeFn>,
new_prefix_fst_words: &[String],
common_prefix_fst_words: &[&[String]],
del_prefix_fst_words: &HashSet<Vec<u8>>,
@@ -63,7 +63,8 @@ impl<'t, 'i> WordPrefixDocids<'t, 'i> {
if !common_prefix_fst_words.is_empty() {
let mut current_prefixes: Option<&&[String]> = None;
let mut prefixes_cache = HashMap::new();
while let Some((word, data)) = new_word_docids_iter.move_on_next()? {
let mut new_word_docids_iter = new_word_docids.into_stream_merger_iter()?;
while let Some((word, data)) = new_word_docids_iter.next()? {
current_prefixes = match current_prefixes.take() {
Some(prefixes) if word.starts_with(prefixes[0].as_bytes()) => Some(prefixes),
_otherwise => {

View File

@@ -47,7 +47,7 @@ impl<'t, 'i> WordPrefixIntegerDocids<'t, 'i> {
#[logging_timer::time("WordPrefixIntegerDocids::{}")]
pub fn execute(
self,
new_word_integer_docids: grenad::Reader<CursorClonableMmap>,
new_word_integer_docids: grenad::Merger<CursorClonableMmap, MergeFn>,
new_prefix_fst_words: &[String],
common_prefix_fst_words: &[&[String]],
del_prefix_fst_words: &HashSet<Vec<u8>>,
@@ -64,14 +64,14 @@ impl<'t, 'i> WordPrefixIntegerDocids<'t, 'i> {
self.max_memory,
);
let mut new_word_integer_docids_iter = new_word_integer_docids.into_cursor()?;
if !common_prefix_fst_words.is_empty() {
// We fetch all the new common prefixes between the previous and new prefix fst.
let mut buffer = Vec::new();
let mut current_prefixes: Option<&&[String]> = None;
let mut prefixes_cache = HashMap::new();
while let Some((key, data)) = new_word_integer_docids_iter.move_on_next()? {
let mut new_word_integer_docids_iter =
new_word_integer_docids.into_stream_merger_iter()?;
while let Some((key, data)) = new_word_integer_docids_iter.next()? {
let (word, pos) =
StrBEU16Codec::bytes_decode(key).map_err(heed::Error::Decoding)?;