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3 Commits

Author SHA1 Message Date
4a2b8be428 fmt 2025-07-07 12:18:59 +02:00
bea11a1353 update arroy to the latest working version 2025-07-07 12:18:57 +02:00
5a7948bfab Use unstable arroy version containing incremental indexing 2025-07-07 12:12:11 +02:00
89 changed files with 1621 additions and 5724 deletions

8
.gitignore vendored
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@ -11,18 +11,12 @@
/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

20
Cargo.lock generated
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@ -444,12 +444,12 @@ checksum = "7c02d123df017efcdfbd739ef81735b36c5ba83ec3c59c80a9d7ecc718f92e50"
[[package]]
name = "arroy"
version = "0.6.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "08e6111f351d004bd13e95ab540721272136fd3218b39d3ec95a2ea1c4e6a0a6"
version = "0.7.0"
source = "git+https://github.com/meilisearch/arroy.git?rev=a63f0979b216dde10d50fdfa4fadcb2b1dea73c7#a63f0979b216dde10d50fdfa4fadcb2b1dea73c7"
dependencies = [
"bytemuck",
"byteorder",
"crossbeam",
"enum-iterator",
"heed",
"memmap2",
@ -461,6 +461,7 @@ dependencies = [
"roaring",
"tempfile",
"thiserror 2.0.12",
"thread_local",
"tracing",
]
@ -1367,6 +1368,19 @@ dependencies = [
"itertools 0.10.5",
]
[[package]]
name = "crossbeam"
version = "0.8.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1137cd7e7fc0fb5d3c5a8678be38ec56e819125d8d7907411fe24ccb943faca8"
dependencies = [
"crossbeam-channel",
"crossbeam-deque",
"crossbeam-epoch",
"crossbeam-queue",
"crossbeam-utils",
]
[[package]]
name = "crossbeam-channel"
version = "0.5.15"

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@ -51,8 +51,3 @@ harness = false
[[bench]]
name = "indexing"
harness = false
[[bench]]
name = "sort"
harness = false

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@ -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);

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@ -9,7 +9,6 @@ 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;
@ -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,
};
@ -155,79 +145,25 @@ 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();

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@ -238,7 +238,7 @@ impl IndexScheduler {
#[cfg(test)]
self.breakpoint(crate::test_utils::Breakpoint::ProcessBatchSucceeded);
let (task_progress, task_progress_obj) = AtomicTaskStep::new(tasks.len() as u32);
let (task_progress, task_progress_obj) = AtomicTaskStep::new(tasks.len() as u64);
progress.update_progress(task_progress_obj);
process_batch_info = info;
let mut success = 0;
@ -317,7 +317,7 @@ impl IndexScheduler {
Err(err) => {
#[cfg(test)]
self.breakpoint(crate::test_utils::Breakpoint::ProcessBatchFailed);
let (task_progress, task_progress_obj) = AtomicTaskStep::new(ids.len() as u32);
let (task_progress, task_progress_obj) = AtomicTaskStep::new(ids.len() as u64);
progress.update_progress(task_progress_obj);
if matches!(err, Error::DatabaseUpgrade(_)) {

View File

@ -353,8 +353,8 @@ impl IndexScheduler {
for (step, swap) in swaps.iter().enumerate() {
progress.update_progress(VariableNameStep::<SwappingTheIndexes>::new(
format!("swapping index {} and {}", swap.indexes.0, swap.indexes.1),
step as u32,
swaps.len() as u32,
step as u64,
swaps.len() as u64,
));
self.apply_index_swap(
&mut wtxn,
@ -472,7 +472,7 @@ impl IndexScheduler {
// 3. before_name -> new_name in the task's KindWithContent
progress.update_progress(InnerSwappingTwoIndexes::UpdateTheTasks);
let tasks_to_update = &index_lhs_task_ids | &index_rhs_task_ids;
let (atomic, task_progress) = AtomicTaskStep::new(tasks_to_update.len() as u32);
let (atomic, task_progress) = AtomicTaskStep::new(tasks_to_update.len() as u64);
progress.update_progress(task_progress);
for task_id in tasks_to_update {
@ -529,7 +529,7 @@ impl IndexScheduler {
// The tasks that have been removed *per batches*.
let mut affected_batches: HashMap<BatchId, RoaringBitmap> = HashMap::new();
let (atomic_progress, task_progress) = AtomicTaskStep::new(to_delete_tasks.len() as u32);
let (atomic_progress, task_progress) = AtomicTaskStep::new(to_delete_tasks.len() as u64);
progress.update_progress(task_progress);
for task_id in to_delete_tasks.iter() {
let task =
@ -575,7 +575,7 @@ impl IndexScheduler {
progress.update_progress(TaskDeletionProgress::DeletingTasksMetadata);
let (atomic_progress, task_progress) = AtomicTaskStep::new(
(affected_indexes.len() + affected_statuses.len() + affected_kinds.len()) as u32,
(affected_indexes.len() + affected_statuses.len() + affected_kinds.len()) as u64,
);
progress.update_progress(task_progress);
for index in affected_indexes.iter() {
@ -594,7 +594,7 @@ impl IndexScheduler {
}
progress.update_progress(TaskDeletionProgress::DeletingTasks);
let (atomic_progress, task_progress) = AtomicTaskStep::new(to_delete_tasks.len() as u32);
let (atomic_progress, task_progress) = AtomicTaskStep::new(to_delete_tasks.len() as u64);
progress.update_progress(task_progress);
for task in to_delete_tasks.iter() {
self.queue.tasks.all_tasks.delete(wtxn, &task)?;
@ -611,7 +611,7 @@ impl IndexScheduler {
}
}
progress.update_progress(TaskDeletionProgress::DeletingBatches);
let (atomic_progress, batch_progress) = AtomicBatchStep::new(affected_batches.len() as u32);
let (atomic_progress, batch_progress) = AtomicBatchStep::new(affected_batches.len() as u64);
progress.update_progress(batch_progress);
for (batch_id, to_delete_tasks) in affected_batches {
if let Some(mut tasks) = self.queue.batch_to_tasks_mapping.get(wtxn, &batch_id)? {
@ -786,7 +786,7 @@ impl IndexScheduler {
}
// 3. We now have a list of tasks to cancel, cancel them
let (task_progress, progress_obj) = AtomicTaskStep::new(tasks_to_cancel.len() as u32);
let (task_progress, progress_obj) = AtomicTaskStep::new(tasks_to_cancel.len() as u64);
progress.update_progress(progress_obj);
let mut tasks = self.queue.tasks.get_existing_tasks(
@ -797,7 +797,7 @@ impl IndexScheduler {
)?;
progress.update_progress(TaskCancelationProgress::UpdatingTasks);
let (task_progress, progress_obj) = AtomicTaskStep::new(tasks_to_cancel.len() as u32);
let (task_progress, progress_obj) = AtomicTaskStep::new(tasks_to_cancel.len() as u64);
progress.update_progress(progress_obj);
for task in tasks.iter_mut() {
task.status = Status::Canceled;

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@ -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};
@ -58,7 +57,7 @@ impl IndexScheduler {
let mut dump_tasks = dump.create_tasks_queue()?;
let (atomic, update_task_progress) =
AtomicTaskStep::new(self.queue.tasks.all_tasks.len(&rtxn)? as u32);
AtomicTaskStep::new(self.queue.tasks.all_tasks.len(&rtxn)? as u64);
progress.update_progress(update_task_progress);
for ret in self.queue.tasks.all_tasks.iter(&rtxn)? {
@ -120,7 +119,7 @@ impl IndexScheduler {
let mut dump_batches = dump.create_batches_queue()?;
let (atomic_batch_progress, update_batch_progress) =
AtomicBatchStep::new(self.queue.batches.all_batches.len(&rtxn)? as u32);
AtomicBatchStep::new(self.queue.batches.all_batches.len(&rtxn)? as u64);
progress.update_progress(update_batch_progress);
for ret in self.queue.batches.all_batches.iter(&rtxn)? {
@ -150,7 +149,7 @@ impl IndexScheduler {
// 5. Dump the indexes
progress.update_progress(DumpCreationProgress::DumpTheIndexes);
let nb_indexes = self.index_mapper.index_mapping.len(&rtxn)? as u32;
let nb_indexes = self.index_mapper.index_mapping.len(&rtxn)? as u64;
let mut count = 0;
let () = self.index_mapper.try_for_each_index(&rtxn, |uid, index| -> Result<()> {
progress.update_progress(VariableNameStep::<DumpCreationProgress>::new(
@ -179,7 +178,7 @@ impl IndexScheduler {
let nb_documents = index
.number_of_documents(&rtxn)
.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?
as u32;
as u64;
let (atomic, update_document_progress) = AtomicDocumentStep::new(nb_documents);
progress.update_progress(update_document_progress);
let documents = index
@ -228,21 +227,12 @@ 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, regenerate)) 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,
regenerate,
};
vectors.insert(embedder_name, serde_json::to_value(embeddings).unwrap());
}

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@ -9,7 +9,6 @@ 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};
@ -56,21 +55,20 @@ impl IndexScheduler {
progress.update_progress(VariableNameStep::<ExportIndex>::new(
format!("Exporting index `{uid}`"),
i as u32,
indexes.len() as u32,
i as u64,
indexes.len() as u64,
));
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);
if let Some(api_key) = api_key {
request = request.set("Authorization", &format!("Bearer {api_key}"));
}
request.send_bytes(Default::default()).map_err(into_backoff_error)
@ -92,8 +90,8 @@ impl IndexScheduler {
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);
if let Some(api_key) = api_key {
request = request.set("Authorization", &format!("Bearer {api_key}"));
}
let index_param = json!({ "uid": uid, "primaryKey": primary_key });
request.send_json(&index_param).map_err(into_backoff_error)
@ -105,8 +103,8 @@ impl IndexScheduler {
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);
if let Some(api_key) = api_key {
request = request.set("Authorization", &format!("Bearer {api_key}"));
}
let index_param = json!({ "primaryKey": primary_key });
request.send_json(&index_param).map_err(into_backoff_error)
@ -124,6 +122,7 @@ impl IndexScheduler {
}
// Retry logic for sending settings
let url = format!("{base_url}/indexes/{uid}/settings");
let bearer = api_key.map(|api_key| format!("Bearer {api_key}"));
retry(&must_stop_processing, || {
let mut request = agent.patch(&url);
if let Some(bearer) = bearer.as_ref() {
@ -156,7 +155,7 @@ impl IndexScheduler {
// spawn many threads to process the documents
drop(index_rtxn);
let total_documents = universe.len() as u32;
let total_documents = universe.len();
let (step, progress_step) = AtomicDocumentStep::new(total_documents);
progress.update_progress(progress_step);
@ -164,14 +163,14 @@ impl IndexScheduler {
IndexUidPattern::new_unchecked(uid.clone()),
DetailsExportIndexSettings {
settings: (*export_settings).clone(),
matched_documents: Some(total_documents as u64),
matched_documents: Some(total_documents),
},
);
let limit = payload_size.map(|ps| ps.as_u64() as usize).unwrap_or(20 * 1024 * 1024); // defaults to 20 MiB
let limit = payload_size.map(|ps| ps.as_u64() as usize).unwrap_or(50 * 1024 * 1024); // defaults to 50 MiB
let documents_url = format!("{base_url}/indexes/{uid}/documents");
let results = request_threads()
request_threads()
.broadcast(|ctx| {
let index_rtxn = index
.read_txn()
@ -230,21 +229,12 @@ impl IndexScheduler {
));
};
for (
embedder_name,
EmbeddingsWithMetadata { embeddings, regenerate, has_fragments },
) in embeddings
{
for (embedder_name, (embeddings, regenerate)) 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,
regenerate,
};
vectors.insert(
embedder_name,
@ -275,8 +265,9 @@ impl IndexScheduler {
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);
if let Some(api_key) = api_key {
request = request
.set("Authorization", &(format!("Bearer {api_key}")));
}
request.send_bytes(&compressed_buffer).map_err(into_backoff_error)
})?;
@ -285,7 +276,7 @@ impl IndexScheduler {
}
buffer.extend_from_slice(&tmp_buffer);
if i > 0 && i % 100 == 0 {
if i % 100 == 0 {
step.fetch_add(100, atomic::Ordering::Relaxed);
}
}
@ -293,8 +284,8 @@ impl IndexScheduler {
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);
if let Some(api_key) = api_key {
request = request.set("Authorization", &(format!("Bearer {api_key}")));
}
request.send_bytes(&buffer).map_err(into_backoff_error)
})?;
@ -307,9 +298,6 @@ impl IndexScheduler {
Some(uid.to_string()),
)
})?;
for result in results {
result?;
}
step.store(total_documents, atomic::Ordering::Relaxed);
}

View File

@ -58,7 +58,7 @@ impl IndexScheduler {
// 2.4 Only copy the update files of the enqueued tasks
progress.update_progress(SnapshotCreationProgress::SnapshotTheUpdateFiles);
let enqueued = self.queue.tasks.get_status(&rtxn, Status::Enqueued)?;
let (atomic, update_file_progress) = AtomicUpdateFileStep::new(enqueued.len() as u32);
let (atomic, update_file_progress) = AtomicUpdateFileStep::new(enqueued.len() as u64);
progress.update_progress(update_file_progress);
for task_id in enqueued {
let task =
@ -74,12 +74,12 @@ impl IndexScheduler {
// 3. Snapshot every indexes
progress.update_progress(SnapshotCreationProgress::SnapshotTheIndexes);
let index_mapping = self.index_mapper.index_mapping;
let nb_indexes = index_mapping.len(&rtxn)? as u32;
let nb_indexes = index_mapping.len(&rtxn)? as u64;
for (i, result) in index_mapping.iter(&rtxn)?.enumerate() {
let (name, uuid) = result?;
progress.update_progress(VariableNameStep::<SnapshotCreationProgress>::new(
name, i as u32, nb_indexes,
name, i as u64, nb_indexes,
));
let index = self.index_mapper.index(&rtxn, name)?;
let dst = temp_snapshot_dir.path().join("indexes").join(uuid.to_string());

View File

@ -22,8 +22,8 @@ impl IndexScheduler {
}
progress.update_progress(VariableNameStep::<UpgradeIndex>::new(
format!("Upgrading index `{uid}`"),
i as u32,
indexes.len() as u32,
i as u64,
indexes.len() as u64,
));
let index = self.index(uid)?;
let mut index_wtxn = index.write_txn()?;
@ -65,8 +65,8 @@ impl IndexScheduler {
for (i, uid) in indexes.iter().enumerate() {
progress.update_progress(VariableNameStep::<UpgradeIndex>::new(
format!("Rollbacking index `{uid}`"),
i as u32,
indexes.len() as u32,
i as u64,
indexes.len() as u64,
));
let index_schd_rtxn = self.env.read_txn()?;

View File

@ -3,7 +3,6 @@ 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::update::Setting;
use meilisearch_types::milli::vector::settings::EmbeddingSettings;
use meilisearch_types::milli::vector::SearchQuery;
@ -221,8 +220,8 @@ fn import_vectors() {
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[0] == lab_embed, @"true");
assert_json_snapshot!(embeddings[&fakerest_name].0[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();
@ -312,9 +311,9 @@ fn import_vectors() {
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[0] == patou_embed, @"true");
// remained beagle
assert_json_snapshot!(embeddings[&fakerest_name].embeddings[0] == beagle_embed, @"true");
assert_json_snapshot!(embeddings[&fakerest_name].0[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();
@ -498,13 +497,13 @@ fn import_vectors_first_and_embedder_later() {
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 +558,7 @@ 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 +566,7 @@ 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());
}
@ -697,7 +696,7 @@ fn delete_document_containing_vector() {
"###);
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

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

@ -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 ;
@ -416,7 +415,6 @@ 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
}
@ -478,8 +476,7 @@ 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 +492,7 @@ 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)]
@ -162,31 +161,18 @@ 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

@ -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();
@ -233,9 +218,6 @@ pub enum Action {
#[serde(rename = "*")]
#[deserr(rename = "*")]
All = 0,
#[serde(rename = "*.get")]
#[deserr(rename = "*.get")]
AllGet,
#[serde(rename = "search")]
#[deserr(rename = "search")]
Search,
@ -417,52 +399,6 @@ impl Action {
}
}
/// 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
}
@ -472,7 +408,6 @@ 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();

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

@ -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()

View File

@ -27,10 +27,9 @@ 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;
@ -170,7 +169,6 @@ 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 +180,16 @@ 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 +203,9 @@ 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 +247,11 @@ 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,
@ -300,23 +280,14 @@ 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_SEARCH_REQUESTS.with_label_values(&["internal"]).inc();
@ -424,19 +395,16 @@ 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()),
};
@ -751,14 +719,13 @@ 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 +801,4 @@ 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)
}

View File

@ -8,8 +8,8 @@ use meilisearch_types::error::{Code, ResponseError};
use meilisearch_types::features::{
ChatCompletionPrompts as DbChatCompletionPrompts, ChatCompletionSettings,
ChatCompletionSource as DbChatCompletionSource, DEFAULT_CHAT_SEARCH_DESCRIPTION_PROMPT,
DEFAULT_CHAT_SEARCH_FILTER_PARAM_PROMPT, DEFAULT_CHAT_SEARCH_INDEX_UID_PARAM_PROMPT,
DEFAULT_CHAT_SEARCH_Q_PARAM_PROMPT, DEFAULT_CHAT_SYSTEM_PROMPT,
DEFAULT_CHAT_SEARCH_INDEX_UID_PARAM_PROMPT, DEFAULT_CHAT_SEARCH_Q_PARAM_PROMPT,
DEFAULT_CHAT_SYSTEM_PROMPT,
};
use meilisearch_types::keys::actions;
use meilisearch_types::milli::update::Setting;
@ -84,11 +84,6 @@ async fn patch_settings(
Setting::Reset => DEFAULT_CHAT_SEARCH_Q_PARAM_PROMPT.to_string(),
Setting::NotSet => old_settings.prompts.search_q_param,
},
search_filter_param: match new_prompts.search_filter_param {
Setting::Set(new_description) => new_description,
Setting::Reset => DEFAULT_CHAT_SEARCH_FILTER_PARAM_PROMPT.to_string(),
Setting::NotSet => old_settings.prompts.search_filter_param,
},
search_index_uid_param: match new_prompts.search_index_uid_param {
Setting::Set(new_description) => new_description,
Setting::Reset => DEFAULT_CHAT_SEARCH_INDEX_UID_PARAM_PROMPT.to_string(),
@ -257,10 +252,6 @@ pub struct ChatPrompts {
#[schema(value_type = Option<String>, example = json!("This is query parameter..."))]
pub search_q_param: Setting<String>,
#[serde(default)]
#[deserr(default, error = DeserrJsonError<InvalidChatCompletionSearchFilterParamPrompt>)]
#[schema(value_type = Option<String>, example = json!("This is filter parameter..."))]
pub search_filter_param: Setting<String>,
#[serde(default)]
#[deserr(default, error = DeserrJsonError<InvalidChatCompletionSearchIndexUidParamPrompt>)]
#[schema(value_type = Option<String>, example = json!("This is index you want to search in..."))]
pub search_index_uid_param: Setting<String>,

View File

@ -1,5 +1,3 @@
use url::Url;
use crate::analytics::Aggregate;
use crate::routes::export::Export;
@ -7,7 +5,6 @@ use crate::routes::export::Export;
pub struct ExportAnalytics {
total_received: usize,
has_api_key: bool,
sum_exports_meilisearch_cloud: usize,
sum_index_patterns: usize,
sum_patterns_with_filter: usize,
sum_patterns_with_override_settings: usize,
@ -16,14 +13,8 @@ pub struct ExportAnalytics {
impl ExportAnalytics {
pub fn from_export(export: &Export) -> Self {
let Export { url, api_key, payload_size, indexes } = export;
let Export { url: _, api_key, payload_size, indexes } = export;
let url = Url::parse(url).ok();
let is_meilisearch_cloud = url.as_ref().and_then(Url::host_str).is_some_and(|host| {
host.ends_with("meilisearch.dev")
|| host.ends_with("meilisearch.com")
|| host.ends_with("meilisearch.io")
});
let has_api_key = api_key.is_some();
let index_patterns_count = indexes.as_ref().map_or(0, |indexes| indexes.len());
let patterns_with_filter_count = indexes.as_ref().map_or(0, |indexes| {
@ -42,7 +33,6 @@ impl ExportAnalytics {
Self {
total_received: 1,
has_api_key,
sum_exports_meilisearch_cloud: is_meilisearch_cloud as usize,
sum_index_patterns: index_patterns_count,
sum_patterns_with_filter: patterns_with_filter_count,
sum_patterns_with_override_settings: patterns_with_override_settings_count,
@ -59,7 +49,6 @@ impl Aggregate for ExportAnalytics {
fn aggregate(mut self: Box<Self>, other: Box<Self>) -> Box<Self> {
self.total_received += other.total_received;
self.has_api_key |= other.has_api_key;
self.sum_exports_meilisearch_cloud += other.sum_exports_meilisearch_cloud;
self.sum_index_patterns += other.sum_index_patterns;
self.sum_patterns_with_filter += other.sum_patterns_with_filter;
self.sum_patterns_with_override_settings += other.sum_patterns_with_override_settings;
@ -74,12 +63,6 @@ impl Aggregate for ExportAnalytics {
Some(self.payload_sizes.iter().sum::<u64>() / self.payload_sizes.len() as u64)
};
let avg_exports_meilisearch_cloud = if self.total_received == 0 {
None
} else {
Some(self.sum_exports_meilisearch_cloud as f64 / self.total_received as f64)
};
let avg_index_patterns = if self.total_received == 0 {
None
} else {
@ -101,7 +84,6 @@ impl Aggregate for ExportAnalytics {
serde_json::json!({
"total_received": self.total_received,
"has_api_key": self.has_api_key,
"avg_exports_meilisearch_cloud": avg_exports_meilisearch_cloud,
"avg_index_patterns": avg_index_patterns,
"avg_patterns_with_filter": avg_patterns_with_filter,
"avg_patterns_with_override_settings": avg_patterns_with_override_settings,

View File

@ -1,7 +1,6 @@
use std::collections::HashSet;
use std::io::{ErrorKind, Seek as _};
use std::marker::PhantomData;
use std::str::FromStr;
use actix_web::http::header::CONTENT_TYPE;
use actix_web::web::Data;
@ -18,11 +17,9 @@ use meilisearch_types::error::deserr_codes::*;
use meilisearch_types::error::{Code, ResponseError};
use meilisearch_types::heed::RoTxn;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::milli::documents::sort::recursive_sort;
use meilisearch_types::milli::index::EmbeddingsWithMetadata;
use meilisearch_types::milli::update::IndexDocumentsMethod;
use meilisearch_types::milli::vector::parsed_vectors::ExplicitVectors;
use meilisearch_types::milli::{AscDesc, DocumentId};
use meilisearch_types::milli::DocumentId;
use meilisearch_types::serde_cs::vec::CS;
use meilisearch_types::star_or::OptionStarOrList;
use meilisearch_types::tasks::KindWithContent;
@ -45,7 +42,6 @@ use crate::extractors::authentication::policies::*;
use crate::extractors::authentication::GuardedData;
use crate::extractors::payload::Payload;
use crate::extractors::sequential_extractor::SeqHandler;
use crate::routes::indexes::search::fix_sort_query_parameters;
use crate::routes::{
get_task_id, is_dry_run, PaginationView, SummarizedTaskView, PAGINATION_DEFAULT_LIMIT,
};
@ -139,8 +135,6 @@ pub struct DocumentsFetchAggregator<Method: AggregateMethod> {
per_document_id: bool,
// if a filter was used
per_filter: bool,
// if documents were sorted
sort: bool,
#[serde(rename = "vector.retrieve_vectors")]
retrieve_vectors: bool,
@ -157,6 +151,39 @@ pub struct DocumentsFetchAggregator<Method: AggregateMethod> {
marker: std::marker::PhantomData<Method>,
}
#[derive(Copy, Clone, Debug, PartialEq, Eq)]
pub enum DocumentFetchKind {
PerDocumentId { retrieve_vectors: bool },
Normal { with_filter: bool, limit: usize, offset: usize, retrieve_vectors: bool, ids: usize },
}
impl<Method: AggregateMethod> DocumentsFetchAggregator<Method> {
pub fn from_query(query: &DocumentFetchKind) -> Self {
let (limit, offset, retrieve_vectors) = match query {
DocumentFetchKind::PerDocumentId { retrieve_vectors } => (1, 0, *retrieve_vectors),
DocumentFetchKind::Normal { limit, offset, retrieve_vectors, .. } => {
(*limit, *offset, *retrieve_vectors)
}
};
let ids = match query {
DocumentFetchKind::Normal { ids, .. } => *ids,
DocumentFetchKind::PerDocumentId { .. } => 0,
};
Self {
per_document_id: matches!(query, DocumentFetchKind::PerDocumentId { .. }),
per_filter: matches!(query, DocumentFetchKind::Normal { with_filter, .. } if *with_filter),
max_limit: limit,
max_offset: offset,
retrieve_vectors,
max_document_ids: ids,
marker: PhantomData,
}
}
}
impl<Method: AggregateMethod> Aggregate for DocumentsFetchAggregator<Method> {
fn event_name(&self) -> &'static str {
Method::event_name()
@ -166,7 +193,6 @@ impl<Method: AggregateMethod> Aggregate for DocumentsFetchAggregator<Method> {
Box::new(Self {
per_document_id: self.per_document_id | new.per_document_id,
per_filter: self.per_filter | new.per_filter,
sort: self.sort | new.sort,
retrieve_vectors: self.retrieve_vectors | new.retrieve_vectors,
max_limit: self.max_limit.max(new.max_limit),
max_offset: self.max_offset.max(new.max_offset),
@ -250,7 +276,6 @@ pub async fn get_document(
retrieve_vectors: param_retrieve_vectors.0,
per_document_id: true,
per_filter: false,
sort: false,
max_limit: 0,
max_offset: 0,
max_document_ids: 0,
@ -381,8 +406,6 @@ pub struct BrowseQueryGet {
#[param(default, value_type = Option<String>, example = "popularity > 1000")]
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentFilter>)]
filter: Option<String>,
#[deserr(default, error = DeserrQueryParamError<InvalidDocumentSort>)]
sort: Option<String>,
}
#[derive(Debug, Deserr, ToSchema)]
@ -407,9 +430,6 @@ pub struct BrowseQuery {
#[schema(default, value_type = Option<Value>, example = "popularity > 1000")]
#[deserr(default, error = DeserrJsonError<InvalidDocumentFilter>)]
filter: Option<Value>,
#[schema(default, value_type = Option<Vec<String>>, example = json!(["title:asc", "rating:desc"]))]
#[deserr(default, error = DeserrJsonError<InvalidDocumentSort>)]
sort: Option<Vec<String>>,
}
/// Get documents with POST
@ -475,7 +495,6 @@ pub async fn documents_by_query_post(
analytics.publish(
DocumentsFetchAggregator::<DocumentsPOST> {
per_filter: body.filter.is_some(),
sort: body.sort.is_some(),
retrieve_vectors: body.retrieve_vectors,
max_limit: body.limit,
max_offset: body.offset,
@ -552,7 +571,7 @@ pub async fn get_documents(
) -> Result<HttpResponse, ResponseError> {
debug!(parameters = ?params, "Get documents GET");
let BrowseQueryGet { limit, offset, fields, retrieve_vectors, filter, ids, sort } =
let BrowseQueryGet { limit, offset, fields, retrieve_vectors, filter, ids } =
params.into_inner();
let filter = match filter {
@ -563,20 +582,20 @@ pub async fn get_documents(
None => None,
};
let ids = ids.map(|ids| ids.into_iter().map(Into::into).collect());
let query = BrowseQuery {
offset: offset.0,
limit: limit.0,
fields: fields.merge_star_and_none(),
retrieve_vectors: retrieve_vectors.0,
filter,
ids: ids.map(|ids| ids.into_iter().map(Into::into).collect()),
sort: sort.map(|attr| fix_sort_query_parameters(&attr)),
ids,
};
analytics.publish(
DocumentsFetchAggregator::<DocumentsGET> {
per_filter: query.filter.is_some(),
sort: query.sort.is_some(),
retrieve_vectors: query.retrieve_vectors,
max_limit: query.limit,
max_offset: query.offset,
@ -596,7 +615,7 @@ fn documents_by_query(
query: BrowseQuery,
) -> Result<HttpResponse, ResponseError> {
let index_uid = IndexUid::try_from(index_uid.into_inner())?;
let BrowseQuery { offset, limit, fields, retrieve_vectors, filter, ids, sort } = query;
let BrowseQuery { offset, limit, fields, retrieve_vectors, filter, ids } = query;
let retrieve_vectors = RetrieveVectors::new(retrieve_vectors);
@ -614,18 +633,6 @@ fn documents_by_query(
None
};
let sort_criteria = if let Some(sort) = &sort {
let sorts: Vec<_> = match sort.iter().map(|s| milli::AscDesc::from_str(s)).collect() {
Ok(sorts) => sorts,
Err(asc_desc_error) => {
return Err(milli::SortError::from(asc_desc_error).into_document_error().into())
}
};
Some(sorts)
} else {
None
};
let index = index_scheduler.index(&index_uid)?;
let (total, documents) = retrieve_documents(
&index,
@ -636,7 +643,6 @@ fn documents_by_query(
fields,
retrieve_vectors,
index_scheduler.features(),
sort_criteria,
)?;
let ret = PaginationView::new(offset, limit, total as usize, documents);
@ -1461,13 +1467,9 @@ fn some_documents<'a, 't: 'a>(
Some(Value::Object(map)) => map,
_ => Default::default(),
};
for (
name,
EmbeddingsWithMetadata { embeddings, regenerate, has_fragments: _ },
) in index.embeddings(rtxn, key)?
{
for (name, (vector, regenerate)) in index.embeddings(rtxn, key)? {
let embeddings =
ExplicitVectors { embeddings: Some(embeddings.into()), regenerate };
ExplicitVectors { embeddings: Some(vector.into()), regenerate };
vectors.insert(
name,
serde_json::to_value(embeddings).map_err(MeilisearchHttpError::from)?,
@ -1492,7 +1494,6 @@ fn retrieve_documents<S: AsRef<str>>(
attributes_to_retrieve: Option<Vec<S>>,
retrieve_vectors: RetrieveVectors,
features: RoFeatures,
sort_criteria: Option<Vec<AscDesc>>,
) -> Result<(u64, Vec<Document>), ResponseError> {
let rtxn = index.read_txn()?;
let filter = &filter;
@ -1525,32 +1526,15 @@ fn retrieve_documents<S: AsRef<str>>(
})?
}
let (it, number_of_documents) = if let Some(sort) = sort_criteria {
let number_of_documents = candidates.len();
let facet_sort = recursive_sort(index, &rtxn, sort, &candidates)?;
let iter = facet_sort.iter()?;
let mut documents = Vec::with_capacity(limit);
for result in iter.skip(offset).take(limit) {
documents.push(result?);
}
(
itertools::Either::Left(some_documents(
index,
&rtxn,
documents.into_iter(),
retrieve_vectors,
)?),
number_of_documents,
)
} else {
let (it, number_of_documents) = {
let number_of_documents = candidates.len();
(
itertools::Either::Right(some_documents(
some_documents(
index,
&rtxn,
candidates.into_iter().skip(offset).take(limit),
retrieve_vectors,
)?),
)?,
number_of_documents,
)
};

View File

@ -745,9 +745,10 @@ impl SearchByIndex {
match sort.iter().map(|s| milli::AscDesc::from_str(s)).collect() {
Ok(sorts) => sorts,
Err(asc_desc_error) => {
return Err(milli::SortError::from(asc_desc_error)
.into_search_error()
.into())
return Err(milli::Error::from(milli::SortError::from(
asc_desc_error,
))
.into())
}
};
Some(sorts)

View File

@ -16,7 +16,7 @@ use meilisearch_types::error::{Code, ResponseError};
use meilisearch_types::heed::RoTxn;
use meilisearch_types::index_uid::IndexUid;
use meilisearch_types::locales::Locale;
use meilisearch_types::milli::index::{self, EmbeddingsWithMetadata, SearchParameters};
use meilisearch_types::milli::index::{self, SearchParameters};
use meilisearch_types::milli::score_details::{ScoreDetails, ScoringStrategy};
use meilisearch_types::milli::vector::parsed_vectors::ExplicitVectors;
use meilisearch_types::milli::vector::Embedder;
@ -1051,7 +1051,6 @@ pub fn prepare_search<'t>(
.unwrap_or(DEFAULT_PAGINATION_MAX_TOTAL_HITS);
search.exhaustive_number_hits(is_finite_pagination);
search.max_total_hits(Some(max_total_hits));
search.scoring_strategy(
if query.show_ranking_score
|| query.show_ranking_score_details
@ -1092,7 +1091,7 @@ pub fn prepare_search<'t>(
let sort = match sort.iter().map(|s| AscDesc::from_str(s)).collect() {
Ok(sorts) => sorts,
Err(asc_desc_error) => {
return Err(SortError::from(asc_desc_error).into_search_error().into())
return Err(milli::Error::from(SortError::from(asc_desc_error)).into())
}
};
@ -1528,11 +1527,8 @@ impl<'a> HitMaker<'a> {
Some(Value::Object(map)) => map,
_ => Default::default(),
};
for (name, EmbeddingsWithMetadata { embeddings, regenerate, has_fragments: _ }) in
self.index.embeddings(self.rtxn, id)?
{
let embeddings =
ExplicitVectors { embeddings: Some(embeddings.into()), regenerate };
for (name, (vector, regenerate)) in self.index.embeddings(self.rtxn, id)? {
let embeddings = ExplicitVectors { embeddings: Some(vector.into()), regenerate };
vectors.insert(
name,
serde_json::to_value(embeddings).map_err(InternalError::SerdeJson)?,

View File

@ -419,14 +419,14 @@ async fn error_add_api_key_invalid_parameters_actions() {
let (response, code) = server.add_api_key(content).await;
meili_snap::snapshot!(code, @"400 Bad Request");
meili_snap::snapshot!(meili_snap::json_string!(response, { ".createdAt" => "[ignored]", ".updatedAt" => "[ignored]" }), @r#"
meili_snap::snapshot!(meili_snap::json_string!(response, { ".createdAt" => "[ignored]", ".updatedAt" => "[ignored]" }), @r###"
{
"message": "Unknown value `doc.add` at `.actions[0]`: expected one of `*`, `*.get`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `export`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
"message": "Unknown value `doc.add` at `.actions[0]`: expected one of `*`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `export`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
"code": "invalid_api_key_actions",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_api_key_actions"
}
"#);
"###);
}
#[actix_rt::test]
@ -790,7 +790,7 @@ async fn list_api_keys() {
meili_snap::snapshot!(code, @"201 Created");
let (response, code) = server.list_api_keys("").await;
meili_snap::snapshot!(meili_snap::json_string!(response, { ".results[].createdAt" => "[ignored]", ".results[].updatedAt" => "[ignored]", ".results[].uid" => "[ignored]", ".results[].key" => "[ignored]" }), @r#"
meili_snap::snapshot!(meili_snap::json_string!(response, { ".results[].createdAt" => "[ignored]", ".results[].updatedAt" => "[ignored]", ".results[].uid" => "[ignored]", ".results[].key" => "[ignored]" }), @r###"
{
"results": [
{
@ -850,22 +850,6 @@ async fn list_api_keys() {
"createdAt": "[ignored]",
"updatedAt": "[ignored]"
},
{
"name": "Default Read-Only Admin API Key",
"description": "Use it to read information across the whole database. Caution! Do not expose this key on a public frontend",
"key": "[ignored]",
"uid": "[ignored]",
"actions": [
"*.get",
"keys.get"
],
"indexes": [
"*"
],
"expiresAt": null,
"createdAt": "[ignored]",
"updatedAt": "[ignored]"
},
{
"name": "Default Chat API Key",
"description": "Use it to chat and search from the frontend",
@ -885,9 +869,9 @@ async fn list_api_keys() {
],
"offset": 0,
"limit": 20,
"total": 5
"total": 4
}
"#);
"###);
meili_snap::snapshot!(code, @"200 OK");
}

View File

@ -91,14 +91,14 @@ async fn create_api_key_bad_actions() {
// can't parse
let (response, code) = server.add_api_key(json!({ "actions": ["doggo"] })).await;
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
snapshot!(json_string!(response), @r###"
{
"message": "Unknown value `doggo` at `.actions[0]`: expected one of `*`, `*.get`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `export`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
"message": "Unknown value `doggo` at `.actions[0]`: expected one of `*`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `export`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
"code": "invalid_api_key_actions",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_api_key_actions"
}
"#);
"###);
}
#[actix_rt::test]

View File

@ -562,7 +562,5 @@ pub struct GetAllDocumentsOptions {
pub offset: Option<usize>,
#[serde(skip_serializing_if = "Option::is_none")]
pub fields: Option<Vec<&'static str>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub sort: Option<Vec<&'static str>>,
pub retrieve_vectors: bool,
}

View File

@ -3,12 +3,8 @@ pub mod index;
pub mod server;
pub mod service;
use std::{
collections::BTreeMap,
fmt::{self, Display},
};
use std::fmt::{self, Display};
use actix_http::StatusCode;
#[allow(unused)]
pub use index::GetAllDocumentsOptions;
use meili_snap::json_string;
@ -17,10 +13,6 @@ use serde::{Deserialize, Serialize};
#[allow(unused)]
pub use server::{default_settings, Server};
use tokio::sync::OnceCell;
use wiremock::{
matchers::{method, path},
Mock, MockServer, Request, ResponseTemplate,
};
use crate::common::index::Index;
@ -516,166 +508,3 @@ pub async fn shared_index_with_geo_documents() -> &'static Index<'static, Shared
})
.await
}
pub async fn shared_index_for_fragments() -> Index<'static, Shared> {
static INDEX: OnceCell<(Server<Shared>, String)> = OnceCell::const_new();
let (server, uid) = INDEX
.get_or_init(|| async {
let (server, uid, _) = init_fragments_index().await;
(server.into_shared(), uid)
})
.await;
server._index(uid).to_shared()
}
async fn fragment_mock_server() -> String {
let text_to_embedding: BTreeMap<_, _> = vec![
("kefir", [0.5, -0.5, 0.0]),
("intel", [1.0, 1.0, 0.0]),
("dustin", [-0.5, 0.5, 0.0]),
("bulldog", [0.0, 0.0, 1.0]),
("labrador", [0.0, 0.0, -1.0]),
("{{ doc.", [-9999.0, -9999.0, -9999.0]), // If a template didn't render
]
.into_iter()
.collect();
let mock_server = Box::leak(Box::new(MockServer::start().await));
Mock::given(method("POST"))
.and(path("/"))
.respond_with(move |req: &Request| {
let text = String::from_utf8_lossy(&req.body).to_string();
let mut data = [0.0, 0.0, 0.0];
for (inner_text, inner_data) in &text_to_embedding {
if text.contains(inner_text) {
for (i, &value) in inner_data.iter().enumerate() {
data[i] += value;
}
}
}
ResponseTemplate::new(200).set_body_json(json!({ "data": data }))
})
.mount(mock_server)
.await;
mock_server.uri()
}
pub async fn init_fragments_index() -> (Server<Owned>, String, crate::common::Value) {
let url = fragment_mock_server().await;
let server = Server::new().await;
let index = server.unique_index();
let (_response, code) = server.set_features(json!({"multimodal": true})).await;
assert_eq!(code, StatusCode::OK);
// Configure the index to use our mock embedder
let settings = json!({
"embedders": {
"rest": {
"source": "rest",
"url": url,
"dimensions": 3,
"request": "{{fragment}}",
"response": {
"data": "{{embedding}}"
},
"indexingFragments": {
"withBreed": {"value": "{{ doc.name }} is a {{ doc.breed }}"},
"basic": {"value": "{{ doc.name }} is a dog"},
},
"searchFragments": {
"justBreed": {"value": "It's a {{ media.breed }}"},
"justName": {"value": "{{ media.name }} is a dog"},
"query": {"value": "Some pre-prompt for query {{ q }}"},
}
},
},
});
let (response, code) = index.update_settings(settings.clone()).await;
assert_eq!(code, StatusCode::ACCEPTED);
server.wait_task(response.uid()).await.succeeded();
// Send documents
let documents = json!([
{"id": 0, "name": "kefir"},
{"id": 1, "name": "echo", "_vectors": { "rest": [1, 1, 1] }},
{"id": 2, "name": "intel", "breed": "labrador"},
{"id": 3, "name": "dustin", "breed": "bulldog"},
]);
let (value, code) = index.add_documents(documents, None).await;
assert_eq!(code, StatusCode::ACCEPTED);
let _task = index.wait_task(value.uid()).await.succeeded();
let uid = index.uid.clone();
(server, uid, settings)
}
pub async fn init_fragments_index_composite() -> (Server<Owned>, String, crate::common::Value) {
let url = fragment_mock_server().await;
let server = Server::new().await;
let index = server.unique_index();
let (_response, code) = server.set_features(json!({"multimodal": true})).await;
assert_eq!(code, StatusCode::OK);
let (_response, code) = server.set_features(json!({"compositeEmbedders": true})).await;
assert_eq!(code, StatusCode::OK);
// Configure the index to use our mock embedder
let settings = json!({
"embedders": {
"rest": {
"source": "composite",
"searchEmbedder": {
"source": "rest",
"url": url,
"dimensions": 3,
"request": "{{fragment}}",
"response": {
"data": "{{embedding}}"
},
"searchFragments": {
"query": {"value": "Some pre-prompt for query {{ q }}"},
}
},
"indexingEmbedder": {
"source": "rest",
"url": url,
"dimensions": 3,
"request": "{{fragment}}",
"response": {
"data": "{{embedding}}"
},
"indexingFragments": {
"withBreed": {"value": "{{ doc.name }} is a {{ doc.breed }}"},
"basic": {"value": "{{ doc.name }} is a dog"},
}
},
},
},
});
let (response, code) = index.update_settings(settings.clone()).await;
assert_eq!(code, StatusCode::ACCEPTED);
server.wait_task(response.uid()).await.succeeded();
// Send documents
let documents = json!([
{"id": 0, "name": "kefir"},
{"id": 1, "name": "echo", "_vectors": { "rest": [1, 1, 1] }},
{"id": 2, "name": "intel", "breed": "labrador"},
{"id": 3, "name": "dustin", "breed": "bulldog"},
]);
let (value, code) = index.add_documents(documents, None).await;
assert_eq!(code, StatusCode::ACCEPTED);
index.wait_task(value.uid()).await.succeeded();
let uid = index.uid.clone();
(server, uid, settings)
}

View File

@ -35,7 +35,7 @@ pub struct Server<State = Owned> {
pub static TEST_TEMP_DIR: Lazy<TempDir> = Lazy::new(|| TempDir::new().unwrap());
impl Server<Owned> {
pub(super) fn into_shared(self) -> Server<Shared> {
fn into_shared(self) -> Server<Shared> {
Server { service: self.service, _dir: self._dir, _marker: PhantomData }
}
@ -97,7 +97,6 @@ impl Server<Owned> {
self.use_api_key(master_key);
let (response, code) = self.list_api_keys("").await;
assert_eq!(200, code, "{:?}", response);
// TODO: relying on the order of keys is not ideal, we should use the name instead
let admin_key = &response["results"][1]["key"];
self.use_api_key(admin_key.as_str().unwrap());
}

View File

@ -5,8 +5,8 @@ use urlencoding::encode as urlencode;
use crate::common::encoder::Encoder;
use crate::common::{
shared_does_not_exists_index, shared_empty_index, shared_index_with_geo_documents,
shared_index_with_test_set, GetAllDocumentsOptions, Server, Value,
shared_does_not_exists_index, shared_empty_index, shared_index_with_test_set,
GetAllDocumentsOptions, Server, Value,
};
use crate::json;
@ -83,311 +83,6 @@ async fn get_document() {
);
}
#[actix_rt::test]
async fn get_document_sorted() {
let server = Server::new_shared();
let index = server.unique_index();
index.load_test_set().await;
let (task, _status_code) =
index.update_settings_sortable_attributes(json!(["age", "email", "gender", "name"])).await;
server.wait_task(task.uid()).await.succeeded();
let (response, _code) = index
.get_all_documents(GetAllDocumentsOptions {
fields: Some(vec!["id", "age", "email"]),
sort: Some(vec!["age:asc", "email:desc"]),
..Default::default()
})
.await;
let results = response["results"].as_array().unwrap();
snapshot!(json_string!(results), @r#"
[
{
"id": 5,
"age": 20,
"email": "warrenwatson@chorizon.com"
},
{
"id": 6,
"age": 20,
"email": "sheliaberry@chorizon.com"
},
{
"id": 57,
"age": 20,
"email": "kaitlinconner@chorizon.com"
},
{
"id": 45,
"age": 20,
"email": "irenebennett@chorizon.com"
},
{
"id": 40,
"age": 21,
"email": "staffordemerson@chorizon.com"
},
{
"id": 41,
"age": 21,
"email": "salinasgamble@chorizon.com"
},
{
"id": 63,
"age": 21,
"email": "knowleshebert@chorizon.com"
},
{
"id": 50,
"age": 21,
"email": "guerramcintyre@chorizon.com"
},
{
"id": 44,
"age": 22,
"email": "jonispears@chorizon.com"
},
{
"id": 56,
"age": 23,
"email": "tuckerbarry@chorizon.com"
},
{
"id": 51,
"age": 23,
"email": "keycervantes@chorizon.com"
},
{
"id": 60,
"age": 23,
"email": "jodyherrera@chorizon.com"
},
{
"id": 70,
"age": 23,
"email": "glassperkins@chorizon.com"
},
{
"id": 75,
"age": 24,
"email": "emmajacobs@chorizon.com"
},
{
"id": 68,
"age": 24,
"email": "angelinadyer@chorizon.com"
},
{
"id": 17,
"age": 25,
"email": "ortegabrennan@chorizon.com"
},
{
"id": 76,
"age": 25,
"email": "claricegardner@chorizon.com"
},
{
"id": 43,
"age": 25,
"email": "arnoldbender@chorizon.com"
},
{
"id": 12,
"age": 25,
"email": "aidakirby@chorizon.com"
},
{
"id": 9,
"age": 26,
"email": "kellimendez@chorizon.com"
}
]
"#);
let (response, _code) = index
.get_all_documents(GetAllDocumentsOptions {
fields: Some(vec!["id", "gender", "name"]),
sort: Some(vec!["gender:asc", "name:asc"]),
..Default::default()
})
.await;
let results = response["results"].as_array().unwrap();
snapshot!(json_string!(results), @r#"
[
{
"id": 3,
"name": "Adeline Flynn",
"gender": "female"
},
{
"id": 12,
"name": "Aida Kirby",
"gender": "female"
},
{
"id": 68,
"name": "Angelina Dyer",
"gender": "female"
},
{
"id": 15,
"name": "Aurelia Contreras",
"gender": "female"
},
{
"id": 36,
"name": "Barbra Valenzuela",
"gender": "female"
},
{
"id": 23,
"name": "Blanca Mcclain",
"gender": "female"
},
{
"id": 53,
"name": "Caitlin Burnett",
"gender": "female"
},
{
"id": 71,
"name": "Candace Sawyer",
"gender": "female"
},
{
"id": 65,
"name": "Carole Rowland",
"gender": "female"
},
{
"id": 33,
"name": "Cecilia Greer",
"gender": "female"
},
{
"id": 1,
"name": "Cherry Orr",
"gender": "female"
},
{
"id": 38,
"name": "Christina Short",
"gender": "female"
},
{
"id": 7,
"name": "Chrystal Boyd",
"gender": "female"
},
{
"id": 76,
"name": "Clarice Gardner",
"gender": "female"
},
{
"id": 73,
"name": "Eleanor Shepherd",
"gender": "female"
},
{
"id": 75,
"name": "Emma Jacobs",
"gender": "female"
},
{
"id": 16,
"name": "Estella Bass",
"gender": "female"
},
{
"id": 62,
"name": "Estelle Ramirez",
"gender": "female"
},
{
"id": 20,
"name": "Florence Long",
"gender": "female"
},
{
"id": 42,
"name": "Graciela Russell",
"gender": "female"
}
]
"#);
}
#[actix_rt::test]
async fn get_document_geosorted() {
let index = shared_index_with_geo_documents().await;
let (response, _code) = index
.get_all_documents(GetAllDocumentsOptions {
sort: Some(vec!["_geoPoint(45.4777599, 9.1967508):asc"]),
..Default::default()
})
.await;
let results = response["results"].as_array().unwrap();
snapshot!(json_string!(results), @r#"
[
{
"id": 2,
"name": "La Bella Italia",
"address": "456 Elm Street, Townsville",
"type": "Italian",
"rating": 9,
"_geo": {
"lat": "45.4777599",
"lng": "9.1967508"
}
},
{
"id": 1,
"name": "Taco Truck",
"address": "444 Salsa Street, Burritoville",
"type": "Mexican",
"rating": 9,
"_geo": {
"lat": 34.0522,
"lng": -118.2437
}
},
{
"id": 3,
"name": "CrĂŞpe Truck",
"address": "2 Billig Avenue, Rouenville",
"type": "French",
"rating": 10
}
]
"#);
}
#[actix_rt::test]
async fn get_document_sort_the_unsortable() {
let index = shared_index_with_test_set().await;
let (response, _code) = index
.get_all_documents(GetAllDocumentsOptions {
fields: Some(vec!["id", "name"]),
sort: Some(vec!["name:asc"]),
..Default::default()
})
.await;
snapshot!(json_string!(response), @r#"
{
"message": "Attribute `name` is not sortable. This index does not have configured sortable attributes.",
"code": "invalid_document_sort",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_document_sort"
}
"#);
}
#[actix_rt::test]
async fn error_get_unexisting_index_all_documents() {
let index = shared_does_not_exists_index().await;

View File

@ -1,4 +1,5 @@
use crate::common::{shared_does_not_exists_index, Server};
use crate::json;
#[actix_rt::test]

View File

@ -2499,7 +2499,7 @@ pub struct LocalMeiliParams {
/// A server that exploits [`MockServer`] to provide an URL for testing network and the network.
pub struct LocalMeili {
mock_server: &'static MockServer,
mock_server: MockServer,
}
impl LocalMeili {
@ -2508,7 +2508,7 @@ impl LocalMeili {
}
pub async fn with_params(server: Arc<Server>, params: LocalMeiliParams) -> Self {
let mock_server = Box::leak(Box::new(MockServer::start().await));
let mock_server = MockServer::start().await;
// tokio won't let us execute asynchronous code from a sync function inside of an async test,
// so instead we spawn another thread that will call the service on a brand new tokio runtime
@ -2572,7 +2572,7 @@ impl LocalMeili {
response.set_body_json(value)
}
})
.mount(mock_server)
.mount(&mock_server)
.await;
Self { mock_server }
}

View File

@ -1,7 +1,6 @@
use super::shared_index_with_documents;
use crate::common::Server;
use crate::json;
use meili_snap::{json_string, snapshot};
#[actix_rt::test]
async fn default_search_should_return_estimated_total_hit() {
@ -134,61 +133,3 @@ async fn ensure_placeholder_search_hit_count_valid() {
.await;
}
}
#[actix_rt::test]
async fn test_issue_5274() {
let server = Server::new_shared();
let index = server.unique_index();
let documents = json!([
{
"id": 1,
"title": "Document 1",
"content": "This is the first."
},
{
"id": 2,
"title": "Document 2",
"content": "This is the second doc."
}
]);
let (task, _code) = index.add_documents(documents, None).await;
server.wait_task(task.uid()).await.succeeded();
// Find out the lowest ranking score among the documents
let (rep, _status) = index
.search_post(json!({"q": "doc", "page": 1, "hitsPerPage": 2, "showRankingScore": true}))
.await;
let hits = rep["hits"].as_array().expect("Missing hits array");
let second_hit = hits.get(1).expect("Missing second hit");
let ranking_score = second_hit
.get("_rankingScore")
.expect("Missing _rankingScore field")
.as_f64()
.expect("Expected _rankingScore to be a f64");
// Search with a ranking score threshold just above and expect to be a single hit
let (rep, _status) = index
.search_post(json!({"q": "doc", "page": 1, "hitsPerPage": 1, "rankingScoreThreshold": ranking_score + 0.0001}))
.await;
snapshot!(json_string!(rep, {
".processingTimeMs" => "[ignored]",
}), @r#"
{
"hits": [
{
"id": 2,
"title": "Document 2",
"content": "This is the second doc."
}
],
"query": "doc",
"processingTimeMs": "[ignored]",
"hitsPerPage": 1,
"page": 1,
"totalPages": 1,
"totalHits": 1
}
"#);
}

View File

@ -692,68 +692,3 @@ async fn granular_filterable_attributes() {
]
"###);
}
#[actix_rt::test]
async fn test_searchable_attributes_order() {
let server = Server::new_shared();
let index = server.unique_index();
// 1) Create an index with settings "searchableAttributes": ["title", "overview"]
let (response, code) = index.create(None).await;
assert_eq!(code, 202, "{response}");
server.wait_task(response.uid()).await.succeeded();
let (task, code) = index
.update_settings(json!({
"searchableAttributes": ["title", "overview"]
}))
.await;
assert_eq!(code, 202, "{task}");
server.wait_task(task.uid()).await.succeeded();
// 2) Add documents in the index
let documents = json!([
{
"id": 1,
"title": "The Matrix",
"overview": "A computer hacker learns from mysterious rebels about the true nature of his reality."
},
{
"id": 2,
"title": "Inception",
"overview": "A thief who steals corporate secrets through dream-sharing technology."
}
]);
let (response, code) = index.add_documents(documents, None).await;
assert_eq!(code, 202, "{response}");
server.wait_task(response.uid()).await.succeeded();
// 3) Modify the settings "searchableAttributes": ["overview", "title"] (overview is put first)
let (task, code) = index
.update_settings(json!({
"searchableAttributes": ["overview", "title"]
}))
.await;
assert_eq!(code, 202, "{task}");
server.wait_task(task.uid()).await.succeeded();
// 4) Check if it has been applied
let (response, code) = index.settings().await;
assert_eq!(code, 200, "{response}");
assert_eq!(response["searchableAttributes"], json!(["overview", "title"]));
// 5) Re-modify the settings "searchableAttributes": ["title", "overview"] (title is put first)
let (task, code) = index
.update_settings(json!({
"searchableAttributes": ["title", "overview"]
}))
.await;
assert_eq!(code, 202, "{task}");
server.wait_task(task.uid()).await.succeeded();
// 6) Check if it has been applied
let (response, code) = index.settings().await;
assert_eq!(code, 200, "{response}");
assert_eq!(response["searchableAttributes"], json!(["title", "overview"]));
}

View File

@ -61,16 +61,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"pagination": {
"maxTotalHits": 15
},
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"pooling": "forceMean",
"documentTemplate": "{{doc.description}}",
"documentTemplateMaxBytes": 400
}
},
"embedders": {},
"searchCutoffMs": 8000,
"localizedAttributes": [
{

View File

@ -1,40 +0,0 @@
---
source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
---
[
{
"id": 1,
"name": "kefir",
"surname": [
"kef",
"kefkef",
"kefirounet",
"boubou"
],
"age": 1.4,
"description": "kefir est un petit chien blanc très mignon",
"_vectors": {
"doggo_embedder": {
"embeddings": "[vector]",
"regenerate": true
}
}
},
{
"id": 2,
"name": "intel",
"surname": [
"untel",
"tétel",
"iouiou"
],
"age": 11.5,
"description": "intel est un grand beagle très mignon",
"_vectors": {
"doggo_embedder": {
"embeddings": "[vector]",
"regenerate": false
}
}
}
]

View File

@ -4,7 +4,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
{
"results": [
{
"uid": 30,
"uid": 24,
"progress": null,
"details": {
"upgradeFrom": "v1.12.0",
@ -26,155 +26,6 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"finishedAt": "[date]",
"batchStrategy": "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type."
},
{
"uid": 29,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.067201S",
"startedAt": "2025-07-07T13:43:08.772854Z",
"finishedAt": "2025-07-07T13:43:08.840055Z",
"batchStrategy": "unspecified"
},
{
"uid": 28,
"progress": null,
"details": {
"deletedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"indexDeletion": 1
},
"indexUids": {
"mieli": 1
}
},
"duration": "PT0.012727S",
"startedAt": "2025-07-07T13:42:50.745461Z",
"finishedAt": "2025-07-07T13:42:50.758188Z",
"batchStrategy": "unspecified"
},
{
"uid": 27,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 0
},
"stats": {
"totalNbTasks": 1,
"status": {
"failed": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.059920S",
"startedAt": "2025-07-07T13:42:15.625413Z",
"finishedAt": "2025-07-07T13:42:15.685333Z",
"batchStrategy": "unspecified"
},
{
"uid": 26,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"mieli": 1
}
},
"duration": "PT0.088879S",
"startedAt": "2025-07-07T13:40:01.461741Z",
"finishedAt": "2025-07-07T13:40:01.55062Z",
"batchStrategy": "unspecified"
},
{
"uid": 25,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.312911S",
"startedAt": "2025-07-07T13:32:46.139785Z",
"finishedAt": "2025-07-07T13:32:46.452696Z",
"batchStrategy": "unspecified"
},
{
"uid": 24,
"progress": null,
"details": {
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.description}}"
}
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.247378S",
"startedAt": "2025-07-07T13:28:27.391344Z",
"finishedAt": "2025-07-07T13:28:27.638722Z",
"batchStrategy": "unspecified"
},
{
"uid": 23,
"progress": null,
@ -497,10 +348,179 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"startedAt": "2025-01-16T17:01:14.112756687Z",
"finishedAt": "2025-01-16T17:01:14.120064527Z",
"batchStrategy": "unspecified"
},
{
"uid": 10,
"progress": null,
"details": {
"faceting": {
"maxValuesPerFacet": 99
},
"pagination": {
"maxTotalHits": 15
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007391353S",
"startedAt": "2025-01-16T17:00:29.201180268Z",
"finishedAt": "2025-01-16T17:00:29.208571621Z",
"batchStrategy": "unspecified"
},
{
"uid": 9,
"progress": null,
"details": {
"faceting": {
"maxValuesPerFacet": 100
},
"pagination": {
"maxTotalHits": 1000
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007445825S",
"startedAt": "2025-01-16T17:00:15.77629445Z",
"finishedAt": "2025-01-16T17:00:15.783740275Z",
"batchStrategy": "unspecified"
},
{
"uid": 8,
"progress": null,
"details": {
"typoTolerance": {
"minWordSizeForTypos": {
"oneTypo": 4
},
"disableOnWords": [
"kefir"
],
"disableOnAttributes": [
"surname"
]
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.012020083S",
"startedAt": "2025-01-16T16:59:42.744086671Z",
"finishedAt": "2025-01-16T16:59:42.756106754Z",
"batchStrategy": "unspecified"
},
{
"uid": 7,
"progress": null,
"details": {
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View File

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View File

@ -4,7 +4,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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@ -497,10 +348,179 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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@ -4,8 +4,8 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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@ -20,118 +20,6 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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View File

@ -4,8 +4,8 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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@ -376,10 +264,134 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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View File

@ -4,8 +4,8 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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@ -20,118 +20,6 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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@ -376,10 +264,134 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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@ -4,7 +4,7 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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},
"duration": "PT0.247378S",
"startedAt": "2025-07-07T13:28:27.391344Z",
"finishedAt": "2025-07-07T13:28:27.638722Z",
"batchStrategy": "unspecified"
},
{
"uid": 23,
"progress": null,
@ -791,8 +642,8 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"batchStrategy": "unspecified"
}
],
"total": 31,
"total": 25,
"limit": 1000,
"from": 30,
"from": 24,
"next": null
}

View File

@ -4,8 +4,8 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
{
"results": [
{
"uid": 31,
"batchUid": 30,
"uid": 25,
"batchUid": 24,
"indexUid": null,
"status": "succeeded",
"type": "upgradeDatabase",
@ -20,118 +20,6 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"startedAt": "[date]",
"finishedAt": "[date]"
},
{
"uid": 30,
"batchUid": 29,
"indexUid": "kefir",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "PT0.067201S",
"enqueuedAt": "2025-07-07T13:43:08.772432Z",
"startedAt": "2025-07-07T13:43:08.772854Z",
"finishedAt": "2025-07-07T13:43:08.840055Z"
},
{
"uid": 29,
"batchUid": 28,
"indexUid": "mieli",
"status": "succeeded",
"type": "indexDeletion",
"canceledBy": null,
"details": {
"deletedDocuments": 1
},
"error": null,
"duration": "PT0.012727S",
"enqueuedAt": "2025-07-07T13:42:50.744793Z",
"startedAt": "2025-07-07T13:42:50.745461Z",
"finishedAt": "2025-07-07T13:42:50.758188Z"
},
{
"uid": 28,
"batchUid": 27,
"indexUid": "kefir",
"status": "failed",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 0
},
"error": {
"message": "Index `kefir`: Bad embedder configuration in the document with id: `2`. Could not parse `._vectors.doggo_embedder`: trailing characters at line 1 column 13",
"code": "invalid_vectors_type",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
},
"duration": "PT0.059920S",
"enqueuedAt": "2025-07-07T13:42:15.624598Z",
"startedAt": "2025-07-07T13:42:15.625413Z",
"finishedAt": "2025-07-07T13:42:15.685333Z"
},
{
"uid": 27,
"batchUid": 26,
"indexUid": "mieli",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "PT0.088879S",
"enqueuedAt": "2025-07-07T13:40:01.46081Z",
"startedAt": "2025-07-07T13:40:01.461741Z",
"finishedAt": "2025-07-07T13:40:01.55062Z"
},
{
"uid": 26,
"batchUid": 25,
"indexUid": "kefir",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "PT0.312911S",
"enqueuedAt": "2025-07-07T13:32:46.13871Z",
"startedAt": "2025-07-07T13:32:46.139785Z",
"finishedAt": "2025-07-07T13:32:46.452696Z"
},
{
"uid": 25,
"batchUid": 24,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.description}}"
}
}
},
"error": null,
"duration": "PT0.247378S",
"enqueuedAt": "2025-07-07T13:28:27.390054Z",
"startedAt": "2025-07-07T13:28:27.391344Z",
"finishedAt": "2025-07-07T13:28:27.638722Z"
},
{
"uid": 24,
"batchUid": 23,
@ -609,8 +497,8 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"finishedAt": "2025-01-16T16:45:16.131303739Z"
}
],
"total": 32,
"total": 26,
"limit": 1000,
"from": 31,
"from": 25,
"next": null
}

View File

@ -114,13 +114,13 @@ async fn check_the_index_scheduler(server: &Server) {
// All the indexes are still present
let (indexes, _) = server.list_indexes(None, None).await;
snapshot!(indexes, @r###"
snapshot!(indexes, @r#"
{
"results": [
{
"uid": "kefir",
"createdAt": "2025-01-16T16:45:16.020663157Z",
"updatedAt": "2025-07-07T13:43:08.835381Z",
"updatedAt": "2025-01-23T11:36:22.634859166Z",
"primaryKey": "id"
}
],
@ -128,7 +128,7 @@ async fn check_the_index_scheduler(server: &Server) {
"limit": 20,
"total": 1
}
"###);
"#);
// And their metadata are still right
let (stats, _) = server.stats().await;
assert_json_snapshot!(stats, {
@ -141,21 +141,21 @@ async fn check_the_index_scheduler(server: &Server) {
{
"databaseSize": "[bytes]",
"usedDatabaseSize": "[bytes]",
"lastUpdate": "2025-07-07T13:43:08.835381Z",
"lastUpdate": "2025-01-23T11:36:22.634859166Z",
"indexes": {
"kefir": {
"numberOfDocuments": 2,
"numberOfDocuments": 1,
"rawDocumentDbSize": "[bytes]",
"avgDocumentSize": "[bytes]",
"isIndexing": false,
"numberOfEmbeddings": 2,
"numberOfEmbeddedDocuments": 2,
"numberOfEmbeddings": 0,
"numberOfEmbeddedDocuments": 0,
"fieldDistribution": {
"age": 2,
"description": 2,
"id": 2,
"name": 2,
"surname": 2
"age": 1,
"description": 1,
"id": 1,
"name": 1,
"surname": 1
}
}
}
@ -227,21 +227,21 @@ async fn check_the_index_scheduler(server: &Server) {
{
"databaseSize": "[bytes]",
"usedDatabaseSize": "[bytes]",
"lastUpdate": "2025-07-07T13:43:08.835381Z",
"lastUpdate": "2025-01-23T11:36:22.634859166Z",
"indexes": {
"kefir": {
"numberOfDocuments": 2,
"numberOfDocuments": 1,
"rawDocumentDbSize": "[bytes]",
"avgDocumentSize": "[bytes]",
"isIndexing": false,
"numberOfEmbeddings": 2,
"numberOfEmbeddedDocuments": 2,
"numberOfEmbeddings": 0,
"numberOfEmbeddedDocuments": 0,
"fieldDistribution": {
"age": 2,
"description": 2,
"id": 2,
"name": 2,
"surname": 2
"age": 1,
"description": 1,
"id": 1,
"name": 1,
"surname": 1
}
}
}
@ -254,18 +254,18 @@ async fn check_the_index_scheduler(server: &Server) {
".avgDocumentSize" => "[bytes]",
}), @r###"
{
"numberOfDocuments": 2,
"numberOfDocuments": 1,
"rawDocumentDbSize": "[bytes]",
"avgDocumentSize": "[bytes]",
"isIndexing": false,
"numberOfEmbeddings": 2,
"numberOfEmbeddedDocuments": 2,
"numberOfEmbeddings": 0,
"numberOfEmbeddedDocuments": 0,
"fieldDistribution": {
"age": 2,
"description": 2,
"id": 2,
"name": 2,
"surname": 2
"age": 1,
"description": 1,
"id": 1,
"name": 1,
"surname": 1
}
}
"###);
@ -295,8 +295,4 @@ async fn check_the_index_features(server: &Server) {
let (results, _status) =
kefir.search_post(json!({ "sort": ["age:asc"], "filter": "surname = kefirounet" })).await;
snapshot!(results, name: "search_with_sort_and_filter");
// ensuring we can get the vectors and their `regenerate` is still good.
let (results, _status) = kefir.search_post(json!({"retrieveVectors": true})).await;
snapshot!(json_string!(results["hits"], {"[]._vectors.doggo_embedder.embeddings" => "[vector]"}), name: "search_with_retrieve_vectors");
}

File diff suppressed because it is too large Load Diff

View File

@ -1,5 +1,4 @@
mod binary_quantized;
mod fragments;
#[cfg(feature = "test-ollama")]
mod ollama;
mod openai;

View File

@ -136,7 +136,7 @@ fn long_text() -> &'static str {
})
}
async fn create_mock_tokenized() -> (&'static MockServer, Value) {
async fn create_mock_tokenized() -> (MockServer, Value) {
create_mock_with_template("{{doc.text}}", ModelDimensions::Large, false, false).await
}
@ -145,8 +145,8 @@ async fn create_mock_with_template(
model_dimensions: ModelDimensions,
fallible: bool,
slow: bool,
) -> (&'static MockServer, Value) {
let mock_server = Box::leak(Box::new(MockServer::start().await));
) -> (MockServer, Value) {
let mock_server = MockServer::start().await;
const API_KEY: &str = "my-api-key";
const API_KEY_BEARER: &str = "Bearer my-api-key";
@ -299,7 +299,7 @@ async fn create_mock_with_template(
}
}))
})
.mount(mock_server)
.mount(&mock_server)
.await;
let url = mock_server.uri();
@ -321,27 +321,27 @@ const DOGGO_TEMPLATE: &str = r#"{%- if doc.gender == "F" -%}Une chienne nommée
Un chien nommé {{doc.name}}, né en {{doc.birthyear}}
{%- endif %}, de race {{doc.breed}}."#;
async fn create_mock() -> (&'static MockServer, Value) {
async fn create_mock() -> (MockServer, Value) {
create_mock_with_template(DOGGO_TEMPLATE, ModelDimensions::Large, false, false).await
}
async fn create_mock_dimensions() -> (&'static MockServer, Value) {
async fn create_mock_dimensions() -> (MockServer, Value) {
create_mock_with_template(DOGGO_TEMPLATE, ModelDimensions::Large512, false, false).await
}
async fn create_mock_small_embedding_model() -> (&'static MockServer, Value) {
async fn create_mock_small_embedding_model() -> (MockServer, Value) {
create_mock_with_template(DOGGO_TEMPLATE, ModelDimensions::Small, false, false).await
}
async fn create_mock_legacy_embedding_model() -> (&'static MockServer, Value) {
async fn create_mock_legacy_embedding_model() -> (MockServer, Value) {
create_mock_with_template(DOGGO_TEMPLATE, ModelDimensions::Ada, false, false).await
}
async fn create_fallible_mock() -> (&'static MockServer, Value) {
async fn create_fallible_mock() -> (MockServer, Value) {
create_mock_with_template(DOGGO_TEMPLATE, ModelDimensions::Large, true, false).await
}
async fn create_slow_mock() -> (&'static MockServer, Value) {
async fn create_slow_mock() -> (MockServer, Value) {
create_mock_with_template(DOGGO_TEMPLATE, ModelDimensions::Large, true, true).await
}

View File

@ -12,8 +12,8 @@ use crate::common::Value;
use crate::json;
use crate::vector::{get_server_vector, GetAllDocumentsOptions};
async fn create_mock() -> (&'static MockServer, Value) {
let mock_server = Box::leak(Box::new(MockServer::start().await));
async fn create_mock() -> (MockServer, Value) {
let mock_server = MockServer::start().await;
let text_to_embedding: BTreeMap<_, _> = vec![
// text -> embedding
@ -32,7 +32,7 @@ async fn create_mock() -> (&'static MockServer, Value) {
json!({ "data": text_to_embedding.get(text.as_str()).unwrap_or(&[99., 99., 99.]) }),
)
})
.mount(mock_server)
.mount(&mock_server)
.await;
let url = mock_server.uri();
@ -50,8 +50,8 @@ async fn create_mock() -> (&'static MockServer, Value) {
(mock_server, embedder_settings)
}
async fn create_mock_default_template() -> (&'static MockServer, Value) {
let mock_server = Box::leak(Box::new(MockServer::start().await));
async fn create_mock_default_template() -> (MockServer, Value) {
let mock_server = MockServer::start().await;
let text_to_embedding: BTreeMap<_, _> = vec![
// text -> embedding
@ -73,7 +73,7 @@ async fn create_mock_default_template() -> (&'static MockServer, Value) {
.set_body_json(json!({"error": "text not found", "text": text})),
}
})
.mount(mock_server)
.mount(&mock_server)
.await;
let url = mock_server.uri();
@ -106,8 +106,8 @@ struct SingleResponse {
embedding: Vec<f32>,
}
async fn create_mock_multiple() -> (&'static MockServer, Value) {
let mock_server = Box::leak(Box::new(MockServer::start().await));
async fn create_mock_multiple() -> (MockServer, Value) {
let mock_server = MockServer::start().await;
let text_to_embedding: BTreeMap<_, _> = vec![
// text -> embedding
@ -146,7 +146,7 @@ async fn create_mock_multiple() -> (&'static MockServer, Value) {
ResponseTemplate::new(200).set_body_json(response)
})
.mount(mock_server)
.mount(&mock_server)
.await;
let url = mock_server.uri();
@ -176,8 +176,8 @@ struct SingleRequest {
input: String,
}
async fn create_mock_single_response_in_array() -> (&'static MockServer, Value) {
let mock_server = Box::leak(Box::new(MockServer::start().await));
async fn create_mock_single_response_in_array() -> (MockServer, Value) {
let mock_server = MockServer::start().await;
let text_to_embedding: BTreeMap<_, _> = vec![
// text -> embedding
@ -212,7 +212,7 @@ async fn create_mock_single_response_in_array() -> (&'static MockServer, Value)
ResponseTemplate::new(200).set_body_json(response)
})
.mount(mock_server)
.mount(&mock_server)
.await;
let url = mock_server.uri();
@ -236,8 +236,8 @@ async fn create_mock_single_response_in_array() -> (&'static MockServer, Value)
(mock_server, embedder_settings)
}
async fn create_mock_raw_with_custom_header() -> (&'static MockServer, Value) {
let mock_server = Box::leak(Box::new(MockServer::start().await));
async fn create_mock_raw_with_custom_header() -> (MockServer, Value) {
let mock_server = MockServer::start().await;
let text_to_embedding: BTreeMap<_, _> = vec![
// text -> embedding
@ -277,7 +277,7 @@ async fn create_mock_raw_with_custom_header() -> (&'static MockServer, Value) {
ResponseTemplate::new(200).set_body_json(output)
})
.mount(mock_server)
.mount(&mock_server)
.await;
let url = mock_server.uri();
@ -293,8 +293,8 @@ async fn create_mock_raw_with_custom_header() -> (&'static MockServer, Value) {
(mock_server, embedder_settings)
}
async fn create_mock_raw() -> (&'static MockServer, Value) {
let mock_server = Box::leak(Box::new(MockServer::start().await));
async fn create_mock_raw() -> (MockServer, Value) {
let mock_server = MockServer::start().await;
let text_to_embedding: BTreeMap<_, _> = vec![
// text -> embedding
@ -321,7 +321,7 @@ async fn create_mock_raw() -> (&'static MockServer, Value) {
ResponseTemplate::new(200).set_body_json(output)
})
.mount(mock_server)
.mount(&mock_server)
.await;
let url = mock_server.uri();
@ -337,8 +337,8 @@ async fn create_mock_raw() -> (&'static MockServer, Value) {
(mock_server, embedder_settings)
}
async fn create_faulty_mock_raw(sender: mpsc::Sender<()>) -> (&'static MockServer, Value) {
let mock_server = Box::leak(Box::new(MockServer::start().await));
async fn create_faulty_mock_raw(sender: mpsc::Sender<()>) -> (MockServer, Value) {
let mock_server = MockServer::start().await;
let count = AtomicUsize::new(0);
Mock::given(method("POST"))
@ -355,7 +355,7 @@ async fn create_faulty_mock_raw(sender: mpsc::Sender<()>) -> (&'static MockServe
ResponseTemplate::new(500).set_body_string("Service Unavailable")
}
})
.mount(mock_server)
.mount(&mock_server)
.await;
let url = mock_server.uri();

View File

@ -101,7 +101,14 @@ async fn reset_embedder_documents() {
server.wait_task(response.uid()).await;
// Make sure the documents are still present
let (documents, _code) = index.get_all_documents(GetAllDocumentsOptions::default()).await;
let (documents, _code) = index
.get_all_documents(GetAllDocumentsOptions {
limit: None,
offset: None,
retrieve_vectors: false,
fields: None,
})
.await;
snapshot!(json_string!(documents), @r###"
{
"results": [

View File

@ -15,7 +15,6 @@ use meilisearch_types::heed::{
};
use meilisearch_types::milli::constants::RESERVED_VECTORS_FIELD_NAME;
use meilisearch_types::milli::documents::{obkv_to_object, DocumentsBatchReader};
use meilisearch_types::milli::index::EmbeddingsWithMetadata;
use meilisearch_types::milli::vector::parsed_vectors::{ExplicitVectors, VectorOrArrayOfVectors};
use meilisearch_types::milli::{obkv_to_json, BEU32};
use meilisearch_types::tasks::{Status, Task};
@ -592,21 +591,12 @@ fn export_documents(
.into());
};
for (
embedder_name,
EmbeddingsWithMetadata { embeddings, regenerate, has_fragments },
) in embeddings
{
for (embedder_name, (embeddings, regenerate)) 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,
regenerate,
};
vectors
.insert(embedder_name, serde_json::to_value(embeddings).unwrap());

View File

@ -162,8 +162,8 @@ fn rebuild_field_distribution(db_path: &Path) -> anyhow::Result<()> {
let (uid, uuid) = result?;
progress.update_progress(VariableNameStep::new(
&uid,
index_index as u32,
index_count as u32,
index_index as u64,
index_count as u64,
));
let index_path = db_path.join("indexes").join(uuid.to_string());
@ -220,12 +220,12 @@ fn rebuild_field_distribution(db_path: &Path) -> anyhow::Result<()> {
pub struct VariableNameStep {
name: String,
current: u32,
total: u32,
current: u64,
total: u64,
}
impl VariableNameStep {
pub fn new(name: impl Into<String>, current: u32, total: u32) -> Self {
pub fn new(name: impl Into<String>, current: u64, total: u64) -> Self {
Self { name: name.into(), current, total }
}
}
@ -235,11 +235,11 @@ impl Step for VariableNameStep {
self.name.clone().into()
}
fn current(&self) -> u32 {
fn current(&self) -> u64 {
self.current
}
fn total(&self) -> u32 {
fn total(&self) -> u64 {
self.total
}
}

View File

@ -87,7 +87,8 @@ rhai = { version = "1.22.2", features = [
"no_time",
"sync",
] }
arroy = "0.6.1"
# arroy = "0.6.1"
arroy = { git = "https://github.com/meilisearch/arroy.git", rev = "a63f0979b216dde10d50fdfa4fadcb2b1dea73c7" } # incremental update
rand = "0.8.5"
tracing = "0.1.41"
ureq = { version = "2.12.1", features = ["json"] }

View File

@ -168,16 +168,6 @@ pub enum SortError {
ReservedNameForFilter { name: String },
}
impl SortError {
pub fn into_search_error(self) -> Error {
Error::UserError(UserError::SortError { error: self, search: true })
}
pub fn into_document_error(self) -> Error {
Error::UserError(UserError::SortError { error: self, search: false })
}
}
impl From<AscDescError> for SortError {
fn from(error: AscDescError) -> Self {
match error {
@ -200,6 +190,12 @@ impl From<AscDescError> for SortError {
}
}
impl From<SortError> for Error {
fn from(error: SortError) -> Self {
Self::UserError(UserError::SortError(error))
}
}
#[cfg(test)]
mod tests {
use big_s::S;

View File

@ -1,294 +0,0 @@
use crate::{
distance_between_two_points,
heed_codec::facet::{FieldDocIdFacetCodec, OrderedF64Codec},
lat_lng_to_xyz,
search::new::{facet_string_values, facet_values_prefix_key},
GeoPoint, Index,
};
use heed::{
types::{Bytes, Unit},
RoPrefix, RoTxn,
};
use roaring::RoaringBitmap;
use rstar::RTree;
use std::collections::VecDeque;
#[derive(Debug, Clone, Copy)]
pub struct GeoSortParameter {
// Define the strategy used by the geo sort
pub strategy: GeoSortStrategy,
// Limit the number of docs in a single bucket to avoid unexpectedly large overhead
pub max_bucket_size: u64,
// Considering the errors of GPS and geographical calculations, distances less than distance_error_margin will be treated as equal
pub distance_error_margin: f64,
}
impl Default for GeoSortParameter {
fn default() -> Self {
Self {
strategy: GeoSortStrategy::default(),
max_bucket_size: 1000,
distance_error_margin: 1.0,
}
}
}
/// Define the strategy used by the geo sort.
/// The parameter represents the cache size, and, in the case of the Dynamic strategy,
/// the point where we move from using the iterative strategy to the rtree.
#[derive(Debug, Clone, Copy)]
pub enum GeoSortStrategy {
AlwaysIterative(usize),
AlwaysRtree(usize),
Dynamic(usize),
}
impl Default for GeoSortStrategy {
fn default() -> Self {
GeoSortStrategy::Dynamic(1000)
}
}
impl GeoSortStrategy {
pub fn use_rtree(&self, candidates: usize) -> bool {
match self {
GeoSortStrategy::AlwaysIterative(_) => false,
GeoSortStrategy::AlwaysRtree(_) => true,
GeoSortStrategy::Dynamic(i) => candidates >= *i,
}
}
pub fn cache_size(&self) -> usize {
match self {
GeoSortStrategy::AlwaysIterative(i)
| GeoSortStrategy::AlwaysRtree(i)
| GeoSortStrategy::Dynamic(i) => *i,
}
}
}
#[allow(clippy::too_many_arguments)]
pub fn fill_cache(
index: &Index,
txn: &RoTxn<heed::AnyTls>,
strategy: GeoSortStrategy,
ascending: bool,
target_point: [f64; 2],
field_ids: &Option<[u16; 2]>,
rtree: &mut Option<RTree<GeoPoint>>,
geo_candidates: &RoaringBitmap,
cached_sorted_docids: &mut VecDeque<(u32, [f64; 2])>,
) -> crate::Result<()> {
debug_assert!(cached_sorted_docids.is_empty());
// lazily initialize the rtree if needed by the strategy, and cache it in `self.rtree`
let rtree = if strategy.use_rtree(geo_candidates.len() as usize) {
if let Some(rtree) = rtree.as_ref() {
// get rtree from cache
Some(rtree)
} else {
let rtree2 = index.geo_rtree(txn)?.expect("geo candidates but no rtree");
// insert rtree in cache and returns it.
// Can't use `get_or_insert_with` because getting the rtree from the DB is a fallible operation.
Some(&*rtree.insert(rtree2))
}
} else {
None
};
let cache_size = strategy.cache_size();
if let Some(rtree) = rtree {
if ascending {
let point = lat_lng_to_xyz(&target_point);
for point in rtree.nearest_neighbor_iter(&point) {
if geo_candidates.contains(point.data.0) {
cached_sorted_docids.push_back(point.data);
if cached_sorted_docids.len() >= cache_size {
break;
}
}
}
} else {
// in the case of the desc geo sort we look for the closest point to the opposite of the queried point
// and we insert the points in reverse order they get reversed when emptying the cache later on
let point = lat_lng_to_xyz(&opposite_of(target_point));
for point in rtree.nearest_neighbor_iter(&point) {
if geo_candidates.contains(point.data.0) {
cached_sorted_docids.push_front(point.data);
if cached_sorted_docids.len() >= cache_size {
break;
}
}
}
}
} else {
// the iterative version
let [lat, lng] = field_ids.expect("fill_buffer can't be called without the lat&lng");
let mut documents = geo_candidates
.iter()
.map(|id| -> crate::Result<_> { Ok((id, geo_value(id, lat, lng, index, txn)?)) })
.collect::<crate::Result<Vec<(u32, [f64; 2])>>>()?;
// computing the distance between two points is expensive thus we cache the result
documents
.sort_by_cached_key(|(_, p)| distance_between_two_points(&target_point, p) as usize);
cached_sorted_docids.extend(documents);
};
Ok(())
}
#[allow(clippy::too_many_arguments)]
pub fn next_bucket(
index: &Index,
txn: &RoTxn<heed::AnyTls>,
universe: &RoaringBitmap,
ascending: bool,
target_point: [f64; 2],
field_ids: &Option<[u16; 2]>,
rtree: &mut Option<RTree<GeoPoint>>,
cached_sorted_docids: &mut VecDeque<(u32, [f64; 2])>,
geo_candidates: &RoaringBitmap,
parameter: GeoSortParameter,
) -> crate::Result<Option<(RoaringBitmap, Option<[f64; 2]>)>> {
let mut geo_candidates = geo_candidates & universe;
if geo_candidates.is_empty() {
return Ok(Some((universe.clone(), None)));
}
let next = |cache: &mut VecDeque<_>| {
if ascending {
cache.pop_front()
} else {
cache.pop_back()
}
};
let put_back = |cache: &mut VecDeque<_>, x: _| {
if ascending {
cache.push_front(x)
} else {
cache.push_back(x)
}
};
let mut current_bucket = RoaringBitmap::new();
// current_distance stores the first point and distance in current bucket
let mut current_distance: Option<([f64; 2], f64)> = None;
loop {
// The loop will only exit when we have found all points with equal distance or have exhausted the candidates.
if let Some((id, point)) = next(cached_sorted_docids) {
if geo_candidates.contains(id) {
let distance = distance_between_two_points(&target_point, &point);
if let Some((point0, bucket_distance)) = current_distance.as_ref() {
if (bucket_distance - distance).abs() > parameter.distance_error_margin {
// different distance, point belongs to next bucket
put_back(cached_sorted_docids, (id, point));
return Ok(Some((current_bucket, Some(point0.to_owned()))));
} else {
// same distance, point belongs to current bucket
current_bucket.insert(id);
// remove from candidates to prevent it from being added to the cache again
geo_candidates.remove(id);
// current bucket size reaches limit, force return
if current_bucket.len() == parameter.max_bucket_size {
return Ok(Some((current_bucket, Some(point0.to_owned()))));
}
}
} else {
// first doc in current bucket
current_distance = Some((point, distance));
current_bucket.insert(id);
geo_candidates.remove(id);
// current bucket size reaches limit, force return
if current_bucket.len() == parameter.max_bucket_size {
return Ok(Some((current_bucket, Some(point.to_owned()))));
}
}
}
} else {
// cache exhausted, we need to refill it
fill_cache(
index,
txn,
parameter.strategy,
ascending,
target_point,
field_ids,
rtree,
&geo_candidates,
cached_sorted_docids,
)?;
if cached_sorted_docids.is_empty() {
// candidates exhausted, exit
if let Some((point0, _)) = current_distance.as_ref() {
return Ok(Some((current_bucket, Some(point0.to_owned()))));
} else {
return Ok(Some((universe.clone(), None)));
}
}
}
}
}
/// Return an iterator over each number value in the given field of the given document.
fn facet_number_values<'a>(
docid: u32,
field_id: u16,
index: &Index,
txn: &'a RoTxn<'a>,
) -> crate::Result<RoPrefix<'a, FieldDocIdFacetCodec<OrderedF64Codec>, Unit>> {
let key = facet_values_prefix_key(field_id, docid);
let iter = index
.field_id_docid_facet_f64s
.remap_key_type::<Bytes>()
.prefix_iter(txn, &key)?
.remap_key_type();
Ok(iter)
}
/// Extracts the lat and long values from a single document.
///
/// If it is not able to find it in the facet number index it will extract it
/// from the facet string index and parse it as f64 (as the geo extraction behaves).
pub(crate) fn geo_value(
docid: u32,
field_lat: u16,
field_lng: u16,
index: &Index,
rtxn: &RoTxn<'_>,
) -> crate::Result<[f64; 2]> {
let extract_geo = |geo_field: u16| -> crate::Result<f64> {
match facet_number_values(docid, geo_field, index, rtxn)?.next() {
Some(Ok(((_, _, geo), ()))) => Ok(geo),
Some(Err(e)) => Err(e.into()),
None => match facet_string_values(docid, geo_field, index, rtxn)?.next() {
Some(Ok((_, geo))) => {
Ok(geo.parse::<f64>().expect("cannot parse geo field as f64"))
}
Some(Err(e)) => Err(e.into()),
None => panic!("A geo faceted document doesn't contain any lat or lng"),
},
}
};
let lat = extract_geo(field_lat)?;
let lng = extract_geo(field_lng)?;
Ok([lat, lng])
}
/// Compute the antipodal coordinate of `coord`
pub(crate) fn opposite_of(mut coord: [f64; 2]) -> [f64; 2] {
coord[0] *= -1.;
// in the case of x,0 we want to return x,180
if coord[1] > 0. {
coord[1] -= 180.;
} else {
coord[1] += 180.;
}
coord
}

View File

@ -1,10 +1,8 @@
mod builder;
mod enriched;
pub mod geo_sort;
mod primary_key;
mod reader;
mod serde_impl;
pub mod sort;
use std::fmt::Debug;
use std::io;
@ -21,7 +19,6 @@ pub use primary_key::{
pub use reader::{DocumentsBatchCursor, DocumentsBatchCursorError, DocumentsBatchReader};
use serde::{Deserialize, Serialize};
pub use self::geo_sort::{GeoSortParameter, GeoSortStrategy};
use crate::error::{FieldIdMapMissingEntry, InternalError};
use crate::{FieldId, Object, Result};

View File

@ -1,444 +0,0 @@
use std::collections::{BTreeSet, VecDeque};
use crate::{
constants::RESERVED_GEO_FIELD_NAME,
documents::{geo_sort::next_bucket, GeoSortParameter},
heed_codec::{
facet::{FacetGroupKeyCodec, FacetGroupValueCodec},
BytesRefCodec,
},
is_faceted,
search::facet::{ascending_facet_sort, descending_facet_sort},
AscDesc, DocumentId, Member, UserError,
};
use heed::Database;
use roaring::RoaringBitmap;
#[derive(Debug, Clone, Copy)]
enum AscDescId {
Facet { field_id: u16, ascending: bool },
Geo { field_ids: [u16; 2], target_point: [f64; 2], ascending: bool },
}
/// A [`SortedDocumentsIterator`] allows efficient access to a continuous range of sorted documents.
/// This is ideal in the context of paginated queries in which only a small number of documents are needed at a time.
/// Search operations will only be performed upon access.
pub enum SortedDocumentsIterator<'ctx> {
Leaf {
/// The exact number of documents remaining
size: usize,
values: Box<dyn Iterator<Item = DocumentId> + 'ctx>,
},
Branch {
/// The current child, got from the children iterator
current_child: Option<Box<SortedDocumentsIterator<'ctx>>>,
/// The exact number of documents remaining, excluding documents in the current child
next_children_size: usize,
/// Iterators to become the current child once it is exhausted
next_children:
Box<dyn Iterator<Item = crate::Result<SortedDocumentsIteratorBuilder<'ctx>>> + 'ctx>,
},
}
impl SortedDocumentsIterator<'_> {
/// Takes care of updating the current child if it is `None`, and also updates the size
fn update_current<'ctx>(
current_child: &mut Option<Box<SortedDocumentsIterator<'ctx>>>,
next_children_size: &mut usize,
next_children: &mut Box<
dyn Iterator<Item = crate::Result<SortedDocumentsIteratorBuilder<'ctx>>> + 'ctx,
>,
) -> crate::Result<()> {
if current_child.is_none() {
*current_child = match next_children.next() {
Some(Ok(builder)) => {
let next_child = Box::new(builder.build()?);
*next_children_size -= next_child.size_hint().0;
Some(next_child)
}
Some(Err(e)) => return Err(e),
None => return Ok(()),
};
}
Ok(())
}
}
impl Iterator for SortedDocumentsIterator<'_> {
type Item = crate::Result<DocumentId>;
/// Implementing the `nth` method allows for efficient access to the nth document in the sorted order.
/// It's used by `skip` internally.
/// The default implementation of `nth` would iterate over all children, which is inefficient for large datasets.
/// This implementation will jump over whole chunks of children until it gets close.
fn nth(&mut self, n: usize) -> Option<Self::Item> {
if n == 0 {
return self.next();
}
// If it's at the leaf level, just forward the call to the values iterator
let (current_child, next_children, next_children_size) = match self {
SortedDocumentsIterator::Leaf { values, size } => {
*size = size.saturating_sub(n);
return values.nth(n).map(Ok);
}
SortedDocumentsIterator::Branch {
current_child,
next_children,
next_children_size,
} => (current_child, next_children, next_children_size),
};
// Otherwise don't directly iterate over children, skip them if we know we will go further
let mut to_skip = n - 1;
while to_skip > 0 {
if let Err(e) = SortedDocumentsIterator::update_current(
current_child,
next_children_size,
next_children,
) {
return Some(Err(e));
}
let Some(inner) = current_child else {
return None; // No more inner iterators, everything has been consumed.
};
if to_skip >= inner.size_hint().0 {
// The current child isn't large enough to contain the nth element.
// Skip it and continue with the next one.
to_skip -= inner.size_hint().0;
*current_child = None;
continue;
} else {
// The current iterator is large enough, so we can forward the call to it.
return inner.nth(to_skip + 1);
}
}
self.next()
}
/// Iterators need to keep track of their size so that they can be skipped efficiently by the `nth` method.
fn size_hint(&self) -> (usize, Option<usize>) {
let size = match self {
SortedDocumentsIterator::Leaf { size, .. } => *size,
SortedDocumentsIterator::Branch {
next_children_size,
current_child: Some(current_child),
..
} => current_child.size_hint().0 + next_children_size,
SortedDocumentsIterator::Branch { next_children_size, current_child: None, .. } => {
*next_children_size
}
};
(size, Some(size))
}
fn next(&mut self) -> Option<Self::Item> {
match self {
SortedDocumentsIterator::Leaf { values, size } => {
let result = values.next().map(Ok);
if result.is_some() {
*size -= 1;
}
result
}
SortedDocumentsIterator::Branch {
current_child,
next_children_size,
next_children,
} => {
let mut result = None;
while result.is_none() {
// Ensure we have selected an iterator to work with
if let Err(e) = SortedDocumentsIterator::update_current(
current_child,
next_children_size,
next_children,
) {
return Some(Err(e));
}
let Some(inner) = current_child else {
return None;
};
result = inner.next();
// If the current iterator is exhausted, we need to try the next one
if result.is_none() {
*current_child = None;
}
}
result
}
}
}
}
/// Builder for a [`SortedDocumentsIterator`].
/// Most builders won't ever be built, because pagination will skip them.
pub struct SortedDocumentsIteratorBuilder<'ctx> {
index: &'ctx crate::Index,
rtxn: &'ctx heed::RoTxn<'ctx>,
number_db: Database<FacetGroupKeyCodec<BytesRefCodec>, FacetGroupValueCodec>,
string_db: Database<FacetGroupKeyCodec<BytesRefCodec>, FacetGroupValueCodec>,
fields: &'ctx [AscDescId],
candidates: RoaringBitmap,
geo_candidates: &'ctx RoaringBitmap,
}
impl<'ctx> SortedDocumentsIteratorBuilder<'ctx> {
/// Performs the sort and builds a [`SortedDocumentsIterator`].
fn build(self) -> crate::Result<SortedDocumentsIterator<'ctx>> {
let size = self.candidates.len() as usize;
match self.fields {
[] => Ok(SortedDocumentsIterator::Leaf {
size,
values: Box::new(self.candidates.into_iter()),
}),
[AscDescId::Facet { field_id, ascending }, next_fields @ ..] => {
SortedDocumentsIteratorBuilder::build_facet(
self.index,
self.rtxn,
self.number_db,
self.string_db,
next_fields,
self.candidates,
self.geo_candidates,
*field_id,
*ascending,
)
}
[AscDescId::Geo { field_ids, target_point, ascending }, next_fields @ ..] => {
SortedDocumentsIteratorBuilder::build_geo(
self.index,
self.rtxn,
self.number_db,
self.string_db,
next_fields,
self.candidates,
self.geo_candidates,
*field_ids,
*target_point,
*ascending,
)
}
}
}
/// Builds a [`SortedDocumentsIterator`] based on the results of a facet sort.
#[allow(clippy::too_many_arguments)]
fn build_facet(
index: &'ctx crate::Index,
rtxn: &'ctx heed::RoTxn<'ctx>,
number_db: Database<FacetGroupKeyCodec<BytesRefCodec>, FacetGroupValueCodec>,
string_db: Database<FacetGroupKeyCodec<BytesRefCodec>, FacetGroupValueCodec>,
next_fields: &'ctx [AscDescId],
candidates: RoaringBitmap,
geo_candidates: &'ctx RoaringBitmap,
field_id: u16,
ascending: bool,
) -> crate::Result<SortedDocumentsIterator<'ctx>> {
let size = candidates.len() as usize;
// Perform the sort on the first field
let (number_iter, string_iter) = if ascending {
let number_iter = ascending_facet_sort(rtxn, number_db, field_id, candidates.clone())?;
let string_iter = ascending_facet_sort(rtxn, string_db, field_id, candidates)?;
(itertools::Either::Left(number_iter), itertools::Either::Left(string_iter))
} else {
let number_iter = descending_facet_sort(rtxn, number_db, field_id, candidates.clone())?;
let string_iter = descending_facet_sort(rtxn, string_db, field_id, candidates)?;
(itertools::Either::Right(number_iter), itertools::Either::Right(string_iter))
};
// Create builders for the next level of the tree
let number_iter = number_iter.map(|r| r.map(|(d, _)| d));
let string_iter = string_iter.map(|r| r.map(|(d, _)| d));
let next_children = number_iter.chain(string_iter).map(move |r| {
Ok(SortedDocumentsIteratorBuilder {
index,
rtxn,
number_db,
string_db,
fields: next_fields,
candidates: r?,
geo_candidates,
})
});
Ok(SortedDocumentsIterator::Branch {
current_child: None,
next_children_size: size,
next_children: Box::new(next_children),
})
}
/// Builds a [`SortedDocumentsIterator`] based on the (lazy) results of a geo sort.
#[allow(clippy::too_many_arguments)]
fn build_geo(
index: &'ctx crate::Index,
rtxn: &'ctx heed::RoTxn<'ctx>,
number_db: Database<FacetGroupKeyCodec<BytesRefCodec>, FacetGroupValueCodec>,
string_db: Database<FacetGroupKeyCodec<BytesRefCodec>, FacetGroupValueCodec>,
next_fields: &'ctx [AscDescId],
candidates: RoaringBitmap,
geo_candidates: &'ctx RoaringBitmap,
field_ids: [u16; 2],
target_point: [f64; 2],
ascending: bool,
) -> crate::Result<SortedDocumentsIterator<'ctx>> {
let mut cache = VecDeque::new();
let mut rtree = None;
let size = candidates.len() as usize;
let not_geo_candidates = candidates.clone() - geo_candidates;
let mut geo_remaining = size - not_geo_candidates.len() as usize;
let mut not_geo_candidates = Some(not_geo_candidates);
let next_children = std::iter::from_fn(move || {
// Find the next bucket of geo-sorted documents.
// next_bucket loops and will go back to the beginning so we use a variable to track how many are left.
if geo_remaining > 0 {
if let Ok(Some((docids, _point))) = next_bucket(
index,
rtxn,
&candidates,
ascending,
target_point,
&Some(field_ids),
&mut rtree,
&mut cache,
geo_candidates,
GeoSortParameter::default(),
) {
geo_remaining -= docids.len() as usize;
return Some(Ok(SortedDocumentsIteratorBuilder {
index,
rtxn,
number_db,
string_db,
fields: next_fields,
candidates: docids,
geo_candidates,
}));
}
}
// Once all geo candidates have been processed, we can return the others
if let Some(not_geo_candidates) = not_geo_candidates.take() {
if !not_geo_candidates.is_empty() {
return Some(Ok(SortedDocumentsIteratorBuilder {
index,
rtxn,
number_db,
string_db,
fields: next_fields,
candidates: not_geo_candidates,
geo_candidates,
}));
}
}
None
});
Ok(SortedDocumentsIterator::Branch {
current_child: None,
next_children_size: size,
next_children: Box::new(next_children),
})
}
}
/// A structure owning the data needed during the lifetime of a [`SortedDocumentsIterator`].
pub struct SortedDocuments<'ctx> {
index: &'ctx crate::Index,
rtxn: &'ctx heed::RoTxn<'ctx>,
fields: Vec<AscDescId>,
number_db: Database<FacetGroupKeyCodec<BytesRefCodec>, FacetGroupValueCodec>,
string_db: Database<FacetGroupKeyCodec<BytesRefCodec>, FacetGroupValueCodec>,
candidates: &'ctx RoaringBitmap,
geo_candidates: RoaringBitmap,
}
impl<'ctx> SortedDocuments<'ctx> {
pub fn iter(&'ctx self) -> crate::Result<SortedDocumentsIterator<'ctx>> {
let builder = SortedDocumentsIteratorBuilder {
index: self.index,
rtxn: self.rtxn,
number_db: self.number_db,
string_db: self.string_db,
fields: &self.fields,
candidates: self.candidates.clone(),
geo_candidates: &self.geo_candidates,
};
builder.build()
}
}
pub fn recursive_sort<'ctx>(
index: &'ctx crate::Index,
rtxn: &'ctx heed::RoTxn<'ctx>,
sort: Vec<AscDesc>,
candidates: &'ctx RoaringBitmap,
) -> crate::Result<SortedDocuments<'ctx>> {
let sortable_fields: BTreeSet<_> = index.sortable_fields(rtxn)?.into_iter().collect();
let fields_ids_map = index.fields_ids_map(rtxn)?;
// Retrieve the field ids that are used for sorting
let mut fields = Vec::new();
let mut need_geo_candidates = false;
for asc_desc in sort {
let (field, geofield) = match asc_desc {
AscDesc::Asc(Member::Field(field)) => (Some((field, true)), None),
AscDesc::Desc(Member::Field(field)) => (Some((field, false)), None),
AscDesc::Asc(Member::Geo(target_point)) => (None, Some((target_point, true))),
AscDesc::Desc(Member::Geo(target_point)) => (None, Some((target_point, false))),
};
if let Some((field, ascending)) = field {
if is_faceted(&field, &sortable_fields) {
if let Some(field_id) = fields_ids_map.id(&field) {
fields.push(AscDescId::Facet { field_id, ascending });
continue;
}
}
return Err(UserError::InvalidDocumentSortableAttribute {
field: field.to_string(),
sortable_fields: sortable_fields.clone(),
}
.into());
}
if let Some((target_point, ascending)) = geofield {
if sortable_fields.contains(RESERVED_GEO_FIELD_NAME) {
if let (Some(lat), Some(lng)) =
(fields_ids_map.id("_geo.lat"), fields_ids_map.id("_geo.lng"))
{
need_geo_candidates = true;
fields.push(AscDescId::Geo { field_ids: [lat, lng], target_point, ascending });
continue;
}
}
return Err(UserError::InvalidDocumentSortableAttribute {
field: RESERVED_GEO_FIELD_NAME.to_string(),
sortable_fields: sortable_fields.clone(),
}
.into());
}
}
let geo_candidates = if need_geo_candidates {
index.geo_faceted_documents_ids(rtxn)?
} else {
RoaringBitmap::new()
};
let number_db = index.facet_id_f64_docids.remap_key_type::<FacetGroupKeyCodec<BytesRefCodec>>();
let string_db =
index.facet_id_string_docids.remap_key_type::<FacetGroupKeyCodec<BytesRefCodec>>();
Ok(SortedDocuments { index, rtxn, fields, number_db, string_db, candidates, geo_candidates })
}

View File

@ -191,21 +191,7 @@ and can not be more than 511 bytes.", .document_id.to_string()
),
}
)]
InvalidSearchSortableAttribute {
field: String,
valid_fields: BTreeSet<String>,
hidden_fields: bool,
},
#[error("Attribute `{}` is not sortable. {}",
.field,
match .sortable_fields.is_empty() {
true => "This index does not have configured sortable attributes.".to_string(),
false => format!("Available sortable attributes are: `{}`.",
sortable_fields.iter().map(AsRef::as_ref).collect::<Vec<&str>>().join(", ")
),
}
)]
InvalidDocumentSortableAttribute { field: String, sortable_fields: BTreeSet<String> },
InvalidSortableAttribute { field: String, valid_fields: BTreeSet<String>, hidden_fields: bool },
#[error("Attribute `{}` is not filterable and thus, cannot be used as distinct attribute. {}",
.field,
match (.valid_patterns.is_empty(), .matching_rule_index) {
@ -286,8 +272,8 @@ and can not be more than 511 bytes.", .document_id.to_string()
PrimaryKeyCannotBeChanged(String),
#[error(transparent)]
SerdeJson(serde_json::Error),
#[error("{error}")]
SortError { error: SortError, search: bool },
#[error(transparent)]
SortError(#[from] SortError),
#[error("An unknown internal document id have been used: `{document_id}`.")]
UnknownInternalDocumentId { document_id: DocumentId },
#[error("`minWordSizeForTypos` setting is invalid. `oneTypo` and `twoTypos` fields should be between `0` and `255`, and `twoTypos` should be greater or equals to `oneTypo` but found `oneTypo: {0}` and twoTypos: {1}`.")]
@ -434,7 +420,8 @@ impl From<arroy::Error> for Error {
| arroy::Error::NeedBuild(_)
| arroy::Error::MissingKey { .. }
| arroy::Error::MissingMetadata(_)
| arroy::Error::CannotDecodeKeyMode { .. } => {
| arroy::Error::CannotDecodeKeyMode { .. }
| arroy::Error::UnknownVersion { .. } => {
Error::InternalError(InternalError::ArroyError(value))
}
}
@ -630,7 +617,7 @@ fn conditionally_lookup_for_error_message() {
];
for (list, suffix) in messages {
let err = UserError::InvalidSearchSortableAttribute {
let err = UserError::InvalidSortableAttribute {
field: "name".to_string(),
valid_fields: list,
hidden_fields: false,

View File

@ -1766,22 +1766,20 @@ impl Index {
&self,
rtxn: &RoTxn<'_>,
docid: DocumentId,
) -> Result<BTreeMap<String, EmbeddingsWithMetadata>> {
) -> Result<BTreeMap<String, (Vec<Embedding>, bool)>> {
let mut res = BTreeMap::new();
let embedders = self.embedding_configs();
for config in embedders.embedding_configs(rtxn)? {
let embedder_info = embedders.embedder_info(rtxn, &config.name)?.unwrap();
let has_fragments = config.config.embedder_options.has_fragments();
let reader = ArroyWrapper::new(
self.vector_arroy,
embedder_info.embedder_id,
config.config.quantized(),
);
let embeddings = reader.item_vectors(rtxn, docid)?;
let regenerate = embedder_info.embedding_status.must_regenerate(docid);
res.insert(
config.name.to_owned(),
EmbeddingsWithMetadata { embeddings, regenerate, has_fragments },
(embeddings, embedder_info.embedding_status.must_regenerate(docid)),
);
}
Ok(res)
@ -1921,12 +1919,6 @@ impl Index {
}
}
pub struct EmbeddingsWithMetadata {
pub embeddings: Vec<Embedding>,
pub regenerate: bool,
pub has_fragments: bool,
}
#[derive(Debug, Default, Deserialize, Serialize)]
pub struct ChatConfig {
pub description: String,

View File

@ -43,13 +43,12 @@ use std::fmt;
use std::hash::BuildHasherDefault;
use charabia::normalizer::{CharNormalizer, CompatibilityDecompositionNormalizer};
pub use documents::GeoSortStrategy;
pub use filter_parser::{Condition, FilterCondition, Span, Token};
use fxhash::{FxHasher32, FxHasher64};
pub use grenad::CompressionType;
pub use search::new::{
execute_search, filtered_universe, DefaultSearchLogger, SearchContext, SearchLogger,
VisualSearchLogger,
execute_search, filtered_universe, DefaultSearchLogger, GeoSortStrategy, SearchContext,
SearchLogger, VisualSearchLogger,
};
use serde_json::Value;
pub use thread_pool_no_abort::{PanicCatched, ThreadPoolNoAbort, ThreadPoolNoAbortBuilder};

View File

@ -1,7 +1,7 @@
use std::any::TypeId;
use std::borrow::Cow;
use std::marker::PhantomData;
use std::sync::atomic::{AtomicU32, AtomicUsize, Ordering};
use std::sync::atomic::{AtomicU64, AtomicUsize, Ordering};
use std::sync::{Arc, RwLock};
use std::time::{Duration, Instant};
@ -13,8 +13,8 @@ use utoipa::ToSchema;
pub trait Step: 'static + Send + Sync {
fn name(&self) -> Cow<'static, str>;
fn current(&self) -> u32;
fn total(&self) -> u32;
fn current(&self) -> u64;
fn total(&self) -> u64;
}
#[derive(Clone, Default)]
@ -132,13 +132,13 @@ pub trait NamedStep: 'static + Send + Sync + Default {
/// - The total number of steps doesn't change
pub struct AtomicSubStep<Name: NamedStep> {
unit_name: Name,
current: Arc<AtomicU32>,
total: u32,
current: Arc<AtomicU64>,
total: u64,
}
impl<Name: NamedStep> AtomicSubStep<Name> {
pub fn new(total: u32) -> (Arc<AtomicU32>, Self) {
let current = Arc::new(AtomicU32::new(0));
pub fn new(total: u64) -> (Arc<AtomicU64>, Self) {
let current = Arc::new(AtomicU64::new(0));
(current.clone(), Self { current, total, unit_name: Name::default() })
}
}
@ -148,11 +148,11 @@ impl<Name: NamedStep> Step for AtomicSubStep<Name> {
self.unit_name.name().into()
}
fn current(&self) -> u32 {
fn current(&self) -> u64 {
self.current.load(Ordering::Relaxed)
}
fn total(&self) -> u32 {
fn total(&self) -> u64 {
self.total
}
}
@ -183,13 +183,13 @@ macro_rules! make_enum_progress {
}
}
fn current(&self) -> u32 {
*self as u32
fn current(&self) -> u64 {
*self as u64
}
fn total(&self) -> u32 {
fn total(&self) -> u64 {
use $crate::progress::_private_enum_iterator::Sequence;
Self::CARDINALITY as u32
Self::CARDINALITY as u64
}
}
};
@ -235,8 +235,8 @@ pub struct ProgressView {
#[schema(rename_all = "camelCase")]
pub struct ProgressStepView {
pub current_step: Cow<'static, str>,
pub finished: u32,
pub total: u32,
pub finished: u64,
pub total: u64,
}
/// Used when the name can change but it's still the same step.
@ -252,13 +252,13 @@ pub struct ProgressStepView {
/// ```
pub struct VariableNameStep<U: Send + Sync + 'static> {
name: String,
current: u32,
total: u32,
current: u64,
total: u64,
phantom: PhantomData<U>,
}
impl<U: Send + Sync + 'static> VariableNameStep<U> {
pub fn new(name: impl Into<String>, current: u32, total: u32) -> Self {
pub fn new(name: impl Into<String>, current: u64, total: u64) -> Self {
Self { name: name.into(), current, total, phantom: PhantomData }
}
}
@ -268,11 +268,11 @@ impl<U: Send + Sync + 'static> Step for VariableNameStep<U> {
self.name.clone().into()
}
fn current(&self) -> u32 {
fn current(&self) -> u64 {
self.current
}
fn total(&self) -> u32 {
fn total(&self) -> u64 {
self.total
}
}
@ -285,22 +285,26 @@ impl Step for arroy::MainStep {
"writing the descendants and metadata"
}
arroy::MainStep::RetrieveTheUpdatedItems => "retrieve the updated items",
arroy::MainStep::RetrievingTheTreeAndItemNodes => "retrieving the tree and item nodes",
arroy::MainStep::UpdatingTheTrees => "updating the trees",
arroy::MainStep::CreateNewTrees => "create new trees",
arroy::MainStep::WritingNodesToDatabase => "writing nodes to database",
arroy::MainStep::DeleteExtraneousTrees => "delete extraneous trees",
arroy::MainStep::WriteTheMetadata => "write the metadata",
arroy::MainStep::RetrievingTheItemsIds => "retrieving the items ids",
arroy::MainStep::RetrievingTheUsedTreeNodes => "retrieving the used tree nodes",
arroy::MainStep::DeletingExtraTrees => "deleting extra trees",
arroy::MainStep::RemoveItemsFromExistingTrees => "remove items from existing trees",
arroy::MainStep::InsertItemsInCurrentTrees => "insert items in current trees",
arroy::MainStep::RetrievingTheItems => "retrieving the items",
arroy::MainStep::RetrievingTheTreeNodes => "retrieving the tree nodes",
arroy::MainStep::RetrieveTheLargeDescendants => "retrieve the large descendants",
arroy::MainStep::CreateTreesForItems => "create trees for items",
}
.into()
}
fn current(&self) -> u32 {
*self as u32
fn current(&self) -> u64 {
*self as u64
}
fn total(&self) -> u32 {
Self::CARDINALITY as u32
fn total(&self) -> u64 {
Self::CARDINALITY as u64
}
}
@ -309,11 +313,11 @@ impl Step for arroy::SubStep {
self.unit.into()
}
fn current(&self) -> u32 {
fn current(&self) -> u64 {
self.current.load(Ordering::Relaxed)
}
fn total(&self) -> u32 {
fn total(&self) -> u64 {
self.max
}
}

View File

@ -210,7 +210,6 @@ impl Search<'_> {
scoring_strategy: ScoringStrategy::Detailed,
words_limit: self.words_limit,
exhaustive_number_hits: self.exhaustive_number_hits,
max_total_hits: self.max_total_hits,
rtxn: self.rtxn,
index: self.index,
semantic: self.semantic.clone(),

View File

@ -9,7 +9,6 @@ use roaring::bitmap::RoaringBitmap;
pub use self::facet::{FacetDistribution, Filter, OrderBy, DEFAULT_VALUES_PER_FACET};
pub use self::new::matches::{FormatOptions, MatchBounds, MatcherBuilder, MatchingWords};
use self::new::{execute_vector_search, PartialSearchResult, VectorStoreStats};
use crate::documents::GeoSortParameter;
use crate::filterable_attributes_rules::{filtered_matching_patterns, matching_features};
use crate::index::MatchingStrategy;
use crate::score_details::{ScoreDetails, ScoringStrategy};
@ -48,12 +47,11 @@ pub struct Search<'a> {
sort_criteria: Option<Vec<AscDesc>>,
distinct: Option<String>,
searchable_attributes: Option<&'a [String]>,
geo_param: GeoSortParameter,
geo_param: new::GeoSortParameter,
terms_matching_strategy: TermsMatchingStrategy,
scoring_strategy: ScoringStrategy,
words_limit: usize,
exhaustive_number_hits: bool,
max_total_hits: Option<usize>,
rtxn: &'a heed::RoTxn<'a>,
index: &'a Index,
semantic: Option<SemanticSearch>,
@ -72,11 +70,10 @@ impl<'a> Search<'a> {
sort_criteria: None,
distinct: None,
searchable_attributes: None,
geo_param: GeoSortParameter::default(),
geo_param: new::GeoSortParameter::default(),
terms_matching_strategy: TermsMatchingStrategy::default(),
scoring_strategy: Default::default(),
exhaustive_number_hits: false,
max_total_hits: None,
words_limit: 10,
rtxn,
index,
@ -150,7 +147,7 @@ impl<'a> Search<'a> {
}
#[cfg(test)]
pub fn geo_sort_strategy(&mut self, strategy: crate::GeoSortStrategy) -> &mut Search<'a> {
pub fn geo_sort_strategy(&mut self, strategy: new::GeoSortStrategy) -> &mut Search<'a> {
self.geo_param.strategy = strategy;
self
}
@ -168,11 +165,6 @@ impl<'a> Search<'a> {
self
}
pub fn max_total_hits(&mut self, max_total_hits: Option<usize>) -> &mut Search<'a> {
self.max_total_hits = max_total_hits;
self
}
pub fn time_budget(&mut self, time_budget: TimeBudget) -> &mut Search<'a> {
self.time_budget = time_budget;
self
@ -251,8 +243,6 @@ impl<'a> Search<'a> {
&mut ctx,
vector,
self.scoring_strategy,
self.exhaustive_number_hits,
self.max_total_hits,
universe,
&self.sort_criteria,
&self.distinct,
@ -271,7 +261,6 @@ impl<'a> Search<'a> {
self.terms_matching_strategy,
self.scoring_strategy,
self.exhaustive_number_hits,
self.max_total_hits,
universe,
&self.sort_criteria,
&self.distinct,
@ -325,7 +314,6 @@ impl fmt::Debug for Search<'_> {
scoring_strategy,
words_limit,
exhaustive_number_hits,
max_total_hits,
rtxn: _,
index: _,
semantic,
@ -345,7 +333,6 @@ impl fmt::Debug for Search<'_> {
.field("terms_matching_strategy", terms_matching_strategy)
.field("scoring_strategy", scoring_strategy)
.field("exhaustive_number_hits", exhaustive_number_hits)
.field("max_total_hits", max_total_hits)
.field("words_limit", words_limit)
.field(
"semantic.embedder_name",

View File

@ -32,8 +32,6 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
logger: &mut dyn SearchLogger<Q>,
time_budget: TimeBudget,
ranking_score_threshold: Option<f64>,
exhaustive_number_hits: bool,
max_total_hits: Option<usize>,
) -> Result<BucketSortOutput> {
logger.initial_query(query);
logger.ranking_rules(&ranking_rules);
@ -161,13 +159,7 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
};
}
let max_len_to_evaluate =
match (max_total_hits, exhaustive_number_hits && ranking_score_threshold.is_some()) {
(Some(max_total_hits), true) => max_total_hits,
_ => length,
};
while valid_docids.len() < max_len_to_evaluate {
while valid_docids.len() < length {
if time_budget.exceeded() {
loop {
let bucket = std::mem::take(&mut ranking_rule_universes[cur_ranking_rule_index]);

View File

@ -82,7 +82,7 @@ fn facet_value_docids(
}
/// Return an iterator over each number value in the given field of the given document.
pub(crate) fn facet_number_values<'a>(
fn facet_number_values<'a>(
docid: u32,
field_id: u16,
index: &Index,
@ -118,7 +118,7 @@ pub fn facet_string_values<'a>(
}
#[allow(clippy::drop_non_drop)]
pub(crate) fn facet_values_prefix_key(distinct: u16, id: u32) -> [u8; FID_SIZE + DOCID_SIZE] {
fn facet_values_prefix_key(distinct: u16, id: u32) -> [u8; FID_SIZE + DOCID_SIZE] {
concat_arrays::concat_arrays!(distinct.to_be_bytes(), id.to_be_bytes())
}

View File

@ -1,18 +1,96 @@
use std::collections::VecDeque;
use heed::types::{Bytes, Unit};
use heed::{RoPrefix, RoTxn};
use roaring::RoaringBitmap;
use rstar::RTree;
use super::facet_string_values;
use super::ranking_rules::{RankingRule, RankingRuleOutput, RankingRuleQueryTrait};
use crate::documents::geo_sort::{fill_cache, next_bucket};
use crate::documents::{GeoSortParameter, GeoSortStrategy};
use crate::heed_codec::facet::{FieldDocIdFacetCodec, OrderedF64Codec};
use crate::score_details::{self, ScoreDetails};
use crate::{GeoPoint, Result, SearchContext, SearchLogger};
use crate::{
distance_between_two_points, lat_lng_to_xyz, GeoPoint, Index, Result, SearchContext,
SearchLogger,
};
const FID_SIZE: usize = 2;
const DOCID_SIZE: usize = 4;
#[allow(clippy::drop_non_drop)]
fn facet_values_prefix_key(distinct: u16, id: u32) -> [u8; FID_SIZE + DOCID_SIZE] {
concat_arrays::concat_arrays!(distinct.to_be_bytes(), id.to_be_bytes())
}
/// Return an iterator over each number value in the given field of the given document.
fn facet_number_values<'a>(
docid: u32,
field_id: u16,
index: &Index,
txn: &'a RoTxn<'a>,
) -> Result<RoPrefix<'a, FieldDocIdFacetCodec<OrderedF64Codec>, Unit>> {
let key = facet_values_prefix_key(field_id, docid);
let iter = index
.field_id_docid_facet_f64s
.remap_key_type::<Bytes>()
.prefix_iter(txn, &key)?
.remap_key_type();
Ok(iter)
}
#[derive(Debug, Clone, Copy)]
pub struct Parameter {
// Define the strategy used by the geo sort
pub strategy: Strategy,
// Limit the number of docs in a single bucket to avoid unexpectedly large overhead
pub max_bucket_size: u64,
// Considering the errors of GPS and geographical calculations, distances less than distance_error_margin will be treated as equal
pub distance_error_margin: f64,
}
impl Default for Parameter {
fn default() -> Self {
Self { strategy: Strategy::default(), max_bucket_size: 1000, distance_error_margin: 1.0 }
}
}
/// Define the strategy used by the geo sort.
/// The parameter represents the cache size, and, in the case of the Dynamic strategy,
/// the point where we move from using the iterative strategy to the rtree.
#[derive(Debug, Clone, Copy)]
pub enum Strategy {
AlwaysIterative(usize),
AlwaysRtree(usize),
Dynamic(usize),
}
impl Default for Strategy {
fn default() -> Self {
Strategy::Dynamic(1000)
}
}
impl Strategy {
pub fn use_rtree(&self, candidates: usize) -> bool {
match self {
Strategy::AlwaysIterative(_) => false,
Strategy::AlwaysRtree(_) => true,
Strategy::Dynamic(i) => candidates >= *i,
}
}
pub fn cache_size(&self) -> usize {
match self {
Strategy::AlwaysIterative(i) | Strategy::AlwaysRtree(i) | Strategy::Dynamic(i) => *i,
}
}
}
pub struct GeoSort<Q: RankingRuleQueryTrait> {
query: Option<Q>,
strategy: GeoSortStrategy,
strategy: Strategy,
ascending: bool,
point: [f64; 2],
field_ids: Option<[u16; 2]>,
@ -29,12 +107,12 @@ pub struct GeoSort<Q: RankingRuleQueryTrait> {
impl<Q: RankingRuleQueryTrait> GeoSort<Q> {
pub fn new(
parameter: GeoSortParameter,
parameter: Parameter,
geo_faceted_docids: RoaringBitmap,
point: [f64; 2],
ascending: bool,
) -> Result<Self> {
let GeoSortParameter { strategy, max_bucket_size, distance_error_margin } = parameter;
let Parameter { strategy, max_bucket_size, distance_error_margin } = parameter;
Ok(Self {
query: None,
strategy,
@ -56,22 +134,98 @@ impl<Q: RankingRuleQueryTrait> GeoSort<Q> {
ctx: &mut SearchContext<'_>,
geo_candidates: &RoaringBitmap,
) -> Result<()> {
fill_cache(
ctx.index,
ctx.txn,
self.strategy,
self.ascending,
self.point,
&self.field_ids,
&mut self.rtree,
geo_candidates,
&mut self.cached_sorted_docids,
)?;
debug_assert!(self.field_ids.is_some(), "fill_buffer can't be called without the lat&lng");
debug_assert!(self.cached_sorted_docids.is_empty());
// lazily initialize the rtree if needed by the strategy, and cache it in `self.rtree`
let rtree = if self.strategy.use_rtree(geo_candidates.len() as usize) {
if let Some(rtree) = self.rtree.as_ref() {
// get rtree from cache
Some(rtree)
} else {
let rtree = ctx.index.geo_rtree(ctx.txn)?.expect("geo candidates but no rtree");
// insert rtree in cache and returns it.
// Can't use `get_or_insert_with` because getting the rtree from the DB is a fallible operation.
Some(&*self.rtree.insert(rtree))
}
} else {
None
};
let cache_size = self.strategy.cache_size();
if let Some(rtree) = rtree {
if self.ascending {
let point = lat_lng_to_xyz(&self.point);
for point in rtree.nearest_neighbor_iter(&point) {
if geo_candidates.contains(point.data.0) {
self.cached_sorted_docids.push_back(point.data);
if self.cached_sorted_docids.len() >= cache_size {
break;
}
}
}
} else {
// in the case of the desc geo sort we look for the closest point to the opposite of the queried point
// and we insert the points in reverse order they get reversed when emptying the cache later on
let point = lat_lng_to_xyz(&opposite_of(self.point));
for point in rtree.nearest_neighbor_iter(&point) {
if geo_candidates.contains(point.data.0) {
self.cached_sorted_docids.push_front(point.data);
if self.cached_sorted_docids.len() >= cache_size {
break;
}
}
}
}
} else {
// the iterative version
let [lat, lng] = self.field_ids.unwrap();
let mut documents = geo_candidates
.iter()
.map(|id| -> Result<_> { Ok((id, geo_value(id, lat, lng, ctx.index, ctx.txn)?)) })
.collect::<Result<Vec<(u32, [f64; 2])>>>()?;
// computing the distance between two points is expensive thus we cache the result
documents
.sort_by_cached_key(|(_, p)| distance_between_two_points(&self.point, p) as usize);
self.cached_sorted_docids.extend(documents);
};
Ok(())
}
}
/// Extracts the lat and long values from a single document.
///
/// If it is not able to find it in the facet number index it will extract it
/// from the facet string index and parse it as f64 (as the geo extraction behaves).
fn geo_value(
docid: u32,
field_lat: u16,
field_lng: u16,
index: &Index,
rtxn: &RoTxn<'_>,
) -> Result<[f64; 2]> {
let extract_geo = |geo_field: u16| -> Result<f64> {
match facet_number_values(docid, geo_field, index, rtxn)?.next() {
Some(Ok(((_, _, geo), ()))) => Ok(geo),
Some(Err(e)) => Err(e.into()),
None => match facet_string_values(docid, geo_field, index, rtxn)?.next() {
Some(Ok((_, geo))) => {
Ok(geo.parse::<f64>().expect("cannot parse geo field as f64"))
}
Some(Err(e)) => Err(e.into()),
None => panic!("A geo faceted document doesn't contain any lat or lng"),
},
}
};
let lat = extract_geo(field_lat)?;
let lng = extract_geo(field_lng)?;
Ok([lat, lng])
}
impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
fn id(&self) -> String {
"geo_sort".to_owned()
@ -113,33 +267,124 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
) -> Result<Option<RankingRuleOutput<Q>>> {
let query = self.query.as_ref().unwrap().clone();
next_bucket(
ctx.index,
ctx.txn,
universe,
self.ascending,
self.point,
&self.field_ids,
&mut self.rtree,
&mut self.cached_sorted_docids,
&self.geo_candidates,
GeoSortParameter {
strategy: self.strategy,
max_bucket_size: self.max_bucket_size,
distance_error_margin: self.distance_error_margin,
},
)
.map(|o| {
o.map(|(candidates, point)| RankingRuleOutput {
let mut geo_candidates = &self.geo_candidates & universe;
if geo_candidates.is_empty() {
return Ok(Some(RankingRuleOutput {
query,
candidates,
candidates: universe.clone(),
score: ScoreDetails::GeoSort(score_details::GeoSort {
target_point: self.point,
ascending: self.ascending,
value: point,
value: None,
}),
})
})
}));
}
let ascending = self.ascending;
let next = |cache: &mut VecDeque<_>| {
if ascending {
cache.pop_front()
} else {
cache.pop_back()
}
};
let put_back = |cache: &mut VecDeque<_>, x: _| {
if ascending {
cache.push_front(x)
} else {
cache.push_back(x)
}
};
let mut current_bucket = RoaringBitmap::new();
// current_distance stores the first point and distance in current bucket
let mut current_distance: Option<([f64; 2], f64)> = None;
loop {
// The loop will only exit when we have found all points with equal distance or have exhausted the candidates.
if let Some((id, point)) = next(&mut self.cached_sorted_docids) {
if geo_candidates.contains(id) {
let distance = distance_between_two_points(&self.point, &point);
if let Some((point0, bucket_distance)) = current_distance.as_ref() {
if (bucket_distance - distance).abs() > self.distance_error_margin {
// different distance, point belongs to next bucket
put_back(&mut self.cached_sorted_docids, (id, point));
return Ok(Some(RankingRuleOutput {
query,
candidates: current_bucket,
score: ScoreDetails::GeoSort(score_details::GeoSort {
target_point: self.point,
ascending: self.ascending,
value: Some(point0.to_owned()),
}),
}));
} else {
// same distance, point belongs to current bucket
current_bucket.insert(id);
// remove from cadidates to prevent it from being added to the cache again
geo_candidates.remove(id);
// current bucket size reaches limit, force return
if current_bucket.len() == self.max_bucket_size {
return Ok(Some(RankingRuleOutput {
query,
candidates: current_bucket,
score: ScoreDetails::GeoSort(score_details::GeoSort {
target_point: self.point,
ascending: self.ascending,
value: Some(point0.to_owned()),
}),
}));
}
}
} else {
// first doc in current bucket
current_distance = Some((point, distance));
current_bucket.insert(id);
geo_candidates.remove(id);
// current bucket size reaches limit, force return
if current_bucket.len() == self.max_bucket_size {
return Ok(Some(RankingRuleOutput {
query,
candidates: current_bucket,
score: ScoreDetails::GeoSort(score_details::GeoSort {
target_point: self.point,
ascending: self.ascending,
value: Some(point.to_owned()),
}),
}));
}
}
}
} else {
// cache exhausted, we need to refill it
self.fill_buffer(ctx, &geo_candidates)?;
if self.cached_sorted_docids.is_empty() {
// candidates exhausted, exit
if let Some((point0, _)) = current_distance.as_ref() {
return Ok(Some(RankingRuleOutput {
query,
candidates: current_bucket,
score: ScoreDetails::GeoSort(score_details::GeoSort {
target_point: self.point,
ascending: self.ascending,
value: Some(point0.to_owned()),
}),
}));
} else {
return Ok(Some(RankingRuleOutput {
query,
candidates: universe.clone(),
score: ScoreDetails::GeoSort(score_details::GeoSort {
target_point: self.point,
ascending: self.ascending,
value: None,
}),
}));
}
}
}
}
}
#[tracing::instrument(level = "trace", skip_all, target = "search::geo_sort")]
@ -149,3 +394,16 @@ impl<'ctx, Q: RankingRuleQueryTrait> RankingRule<'ctx, Q> for GeoSort<Q> {
self.cached_sorted_docids.clear();
}
}
/// Compute the antipodal coordinate of `coord`
fn opposite_of(mut coord: [f64; 2]) -> [f64; 2] {
coord[0] *= -1.;
// in the case of x,0 we want to return x,180
if coord[1] > 0. {
coord[1] -= 180.;
} else {
coord[1] += 180.;
}
coord
}

View File

@ -510,7 +510,6 @@ mod tests {
crate::TermsMatchingStrategy::default(),
crate::score_details::ScoringStrategy::Skip,
false,
None,
universe,
&None,
&None,

View File

@ -1,7 +1,7 @@
mod bucket_sort;
mod db_cache;
mod distinct;
pub(crate) mod geo_sort;
mod geo_sort;
mod graph_based_ranking_rule;
mod interner;
mod limits;
@ -46,14 +46,14 @@ use resolve_query_graph::{compute_query_graph_docids, PhraseDocIdsCache};
use roaring::RoaringBitmap;
use sort::Sort;
pub(crate) use self::distinct::{facet_string_values, facet_values_prefix_key};
use self::distinct::facet_string_values;
use self::geo_sort::GeoSort;
pub use self::geo_sort::{Parameter as GeoSortParameter, Strategy as GeoSortStrategy};
use self::graph_based_ranking_rule::Words;
use self::interner::Interned;
use self::vector_sort::VectorSort;
use crate::attribute_patterns::{match_pattern, PatternMatch};
use crate::constants::RESERVED_GEO_FIELD_NAME;
use crate::documents::GeoSortParameter;
use crate::index::PrefixSearch;
use crate::localized_attributes_rules::LocalizedFieldIds;
use crate::score_details::{ScoreDetails, ScoringStrategy};
@ -319,7 +319,7 @@ fn resolve_negative_phrases(
fn get_ranking_rules_for_placeholder_search<'ctx>(
ctx: &SearchContext<'ctx>,
sort_criteria: &Option<Vec<AscDesc>>,
geo_param: GeoSortParameter,
geo_param: geo_sort::Parameter,
) -> Result<Vec<BoxRankingRule<'ctx, PlaceholderQuery>>> {
let mut sort = false;
let mut sorted_fields = HashSet::new();
@ -371,7 +371,7 @@ fn get_ranking_rules_for_placeholder_search<'ctx>(
fn get_ranking_rules_for_vector<'ctx>(
ctx: &SearchContext<'ctx>,
sort_criteria: &Option<Vec<AscDesc>>,
geo_param: GeoSortParameter,
geo_param: geo_sort::Parameter,
limit_plus_offset: usize,
target: &[f32],
embedder_name: &str,
@ -448,7 +448,7 @@ fn get_ranking_rules_for_vector<'ctx>(
fn get_ranking_rules_for_query_graph_search<'ctx>(
ctx: &SearchContext<'ctx>,
sort_criteria: &Option<Vec<AscDesc>>,
geo_param: GeoSortParameter,
geo_param: geo_sort::Parameter,
terms_matching_strategy: TermsMatchingStrategy,
) -> Result<Vec<BoxRankingRule<'ctx, QueryGraph>>> {
// query graph search
@ -559,7 +559,7 @@ fn resolve_sort_criteria<'ctx, Query: RankingRuleQueryTrait>(
ranking_rules: &mut Vec<BoxRankingRule<'ctx, Query>>,
sorted_fields: &mut HashSet<String>,
geo_sorted: &mut bool,
geo_param: GeoSortParameter,
geo_param: geo_sort::Parameter,
) -> Result<()> {
let sort_criteria = sort_criteria.clone().unwrap_or_default();
ranking_rules.reserve(sort_criteria.len());
@ -626,12 +626,10 @@ pub fn execute_vector_search(
ctx: &mut SearchContext<'_>,
vector: &[f32],
scoring_strategy: ScoringStrategy,
exhaustive_number_hits: bool,
max_total_hits: Option<usize>,
universe: RoaringBitmap,
sort_criteria: &Option<Vec<AscDesc>>,
distinct: &Option<String>,
geo_param: GeoSortParameter,
geo_param: geo_sort::Parameter,
from: usize,
length: usize,
embedder_name: &str,
@ -671,8 +669,6 @@ pub fn execute_vector_search(
placeholder_search_logger,
time_budget,
ranking_score_threshold,
exhaustive_number_hits,
max_total_hits,
)?;
Ok(PartialSearchResult {
@ -693,11 +689,10 @@ pub fn execute_search(
terms_matching_strategy: TermsMatchingStrategy,
scoring_strategy: ScoringStrategy,
exhaustive_number_hits: bool,
max_total_hits: Option<usize>,
mut universe: RoaringBitmap,
sort_criteria: &Option<Vec<AscDesc>>,
distinct: &Option<String>,
geo_param: GeoSortParameter,
geo_param: geo_sort::Parameter,
from: usize,
length: usize,
words_limit: Option<usize>,
@ -830,8 +825,6 @@ pub fn execute_search(
query_graph_logger,
time_budget,
ranking_score_threshold,
exhaustive_number_hits,
max_total_hits,
)?
} else {
let ranking_rules =
@ -848,8 +841,6 @@ pub fn execute_search(
placeholder_search_logger,
time_budget,
ranking_score_threshold,
exhaustive_number_hits,
max_total_hits,
)?
};
@ -881,7 +872,7 @@ pub fn execute_search(
})
}
pub(crate) fn check_sort_criteria(
fn check_sort_criteria(
ctx: &SearchContext<'_>,
sort_criteria: Option<&Vec<AscDesc>>,
) -> Result<()> {
@ -911,7 +902,7 @@ pub(crate) fn check_sort_criteria(
let (valid_fields, hidden_fields) =
ctx.index.remove_hidden_fields(ctx.txn, sortable_fields)?;
return Err(UserError::InvalidSearchSortableAttribute {
return Err(UserError::InvalidSortableAttribute {
field: field.to_string(),
valid_fields,
hidden_fields,
@ -922,7 +913,7 @@ pub(crate) fn check_sort_criteria(
let (valid_fields, hidden_fields) =
ctx.index.remove_hidden_fields(ctx.txn, sortable_fields)?;
return Err(UserError::InvalidSearchSortableAttribute {
return Err(UserError::InvalidSortableAttribute {
field: RESERVED_GEO_FIELD_NAME.to_string(),
valid_fields,
hidden_fields,

View File

@ -2,7 +2,7 @@ use heed::RwTxn;
use roaring::RoaringBitmap;
use time::OffsetDateTime;
use crate::{database_stats::DatabaseStats, FieldDistribution, Index, Result};
use crate::{FieldDistribution, Index, Result};
pub struct ClearDocuments<'t, 'i> {
wtxn: &'t mut RwTxn<'i>,
@ -92,10 +92,6 @@ impl<'t, 'i> ClearDocuments<'t, 'i> {
documents.clear(self.wtxn)?;
// Update the stats of the documents database after clearing all documents.
let stats = DatabaseStats::new(self.index.documents.remap_data_type(), self.wtxn)?;
self.index.put_documents_stats(self.wtxn, stats)?;
Ok(number_of_documents)
}
}
@ -126,9 +122,6 @@ mod tests {
let rtxn = index.read_txn().unwrap();
// Variables for statistics verification
let stats = index.documents_stats(&rtxn).unwrap().unwrap();
// the value is 7 because there is `[id, name, age, country, _geo, _geo.lng, _geo.lat]`
assert_eq!(index.fields_ids_map(&rtxn).unwrap().len(), 7);
@ -149,9 +142,5 @@ mod tests {
assert!(index.field_id_docid_facet_f64s.is_empty(&rtxn).unwrap());
assert!(index.field_id_docid_facet_strings.is_empty(&rtxn).unwrap());
assert!(index.documents.is_empty(&rtxn).unwrap());
// Verify that the statistics are correctly updated after clearing documents
assert_eq!(index.number_of_documents(&rtxn).unwrap(), 0);
assert_eq!(stats.number_of_entries(), 0);
}
}

View File

@ -23,7 +23,7 @@ use crate::progress::EmbedderStats;
use crate::prompt::Prompt;
use crate::update::del_add::{DelAdd, KvReaderDelAdd, KvWriterDelAdd};
use crate::update::settings::InnerIndexSettingsDiff;
use crate::vector::db::{EmbedderInfo, EmbeddingStatusDelta};
use crate::vector::db::{EmbedderInfo, EmbeddingStatus, EmbeddingStatusDelta};
use crate::vector::error::{EmbedErrorKind, PossibleEmbeddingMistakes, UnusedVectorsDistribution};
use crate::vector::extractor::{Extractor, ExtractorDiff, RequestFragmentExtractor};
use crate::vector::parsed_vectors::{ParsedVectorsDiff, VectorState};
@ -441,8 +441,6 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
{
let embedder_is_manual = matches!(*runtime.embedder, Embedder::UserProvided(_));
let (old_is_user_provided, old_must_regenerate) =
embedder_info.embedding_status.is_user_provided_must_regenerate(docid);
let (old, new) = parsed_vectors.remove(embedder_name);
let new_must_regenerate = new.must_regenerate();
let delta = match action {
@ -501,19 +499,16 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
let is_adding_fragments = has_fragments && !old_has_fragments;
if !has_fragments {
// removing fragments
regenerate_prompt(obkv, &runtime.document_template, new_fields_ids_map)?
} else if is_adding_fragments ||
// regenerate all fragments when going from user provided to ! user provided
old_is_user_provided
{
if is_adding_fragments {
regenerate_all_fragments(
runtime.fragments(),
&doc_alloc,
new_fields_ids_map,
obkv,
)
} else if !has_fragments {
// removing fragments
regenerate_prompt(obkv, &runtime.document_template, new_fields_ids_map)?
} else {
let mut fragment_diff = Vec::new();
let new_fields_ids_map = new_fields_ids_map.as_fields_ids_map();
@ -605,8 +600,7 @@ pub fn extract_vector_points<R: io::Read + io::Seek>(
docid,
&delta,
new_must_regenerate,
old_is_user_provided,
old_must_regenerate,
&embedder_info.embedding_status,
);
// and we finally push the unique vectors into the writer
@ -663,9 +657,10 @@ fn push_embedding_status_delta(
docid: DocumentId,
delta: &VectorStateDelta,
new_must_regenerate: bool,
old_is_user_provided: bool,
old_must_regenerate: bool,
embedding_status: &EmbeddingStatus,
) {
let (old_is_user_provided, old_must_regenerate) =
embedding_status.is_user_provided_must_regenerate(docid);
let new_is_user_provided = match delta {
VectorStateDelta::NoChange => old_is_user_provided,
VectorStateDelta::NowRemoved => {

View File

@ -620,35 +620,12 @@ impl<'a, 'b, 'extractor> Chunks<'a, 'b, 'extractor> {
where
'a: 'doc,
{
self.set_status(docid, old_is_user_provided, true, false, true);
match &mut self.kind {
ChunkType::Fragments { fragments, session } => {
ChunkType::Fragments { fragments: _, session } => {
let doc_alloc = session.doc_alloc();
let reindex_all_fragments =
// when the vectors were user-provided, Meilisearch cannot know if they come from a particular fragment,
// and so Meilisearch needs to clear all embeddings in that case.
// Fortunately, as dump export fragment vector with `regenerate` set to `false`,
// this case should be rare and opt-in.
old_is_user_provided ||
// full-reindex case
full_reindex;
if reindex_all_fragments {
if old_is_user_provided | full_reindex {
session.on_embed_mut().clear_vectors(docid);
let extractors = fragments.iter().map(|fragment| {
RequestFragmentExtractor::new(fragment, doc_alloc).ignore_errors()
});
insert_autogenerated(
docid,
external_docid,
extractors,
document,
&(),
session,
unused_vectors_distribution,
)?;
return Ok(());
}
settings_delta.try_for_each_fragment_diff(
@ -692,6 +669,7 @@ impl<'a, 'b, 'extractor> Chunks<'a, 'b, 'extractor> {
Result::Ok(())
},
)?;
self.set_status(docid, old_is_user_provided, true, false, true);
}
ChunkType::DocumentTemplate { document_template, session } => {
let doc_alloc = session.doc_alloc();
@ -712,18 +690,12 @@ impl<'a, 'b, 'extractor> Chunks<'a, 'b, 'extractor> {
match extractor.diff_settings(document, &external_docid, old_extractor.as_ref())? {
ExtractorDiff::Removed => {
if old_is_user_provided || full_reindex {
session.on_embed_mut().clear_vectors(docid);
}
OnEmbed::process_embedding_response(
session.on_embed_mut(),
crate::vector::session::EmbeddingResponse { metadata, embedding: None },
);
}
ExtractorDiff::Added(input) | ExtractorDiff::Updated(input) => {
if old_is_user_provided || full_reindex {
session.on_embed_mut().clear_vectors(docid);
}
session.request_embedding(metadata, input, unused_vectors_distribution)?;
}
ExtractorDiff::Unchanged => { /* do nothing */ }
@ -750,13 +722,6 @@ impl<'a, 'b, 'extractor> Chunks<'a, 'b, 'extractor> {
where
'a: 'doc,
{
self.set_status(
docid,
old_is_user_provided,
old_must_regenerate,
false,
new_must_regenerate,
);
match &mut self.kind {
ChunkType::DocumentTemplate { document_template, session } => {
let doc_alloc = session.doc_alloc();
@ -766,6 +731,10 @@ impl<'a, 'b, 'extractor> Chunks<'a, 'b, 'extractor> {
new_fields_ids_map,
);
if old_is_user_provided {
session.on_embed_mut().clear_vectors(docid);
}
update_autogenerated(
docid,
external_docid,
@ -774,7 +743,6 @@ impl<'a, 'b, 'extractor> Chunks<'a, 'b, 'extractor> {
new_document,
&external_docid,
old_must_regenerate,
old_is_user_provided,
session,
unused_vectors_distribution,
)?
@ -786,21 +754,7 @@ impl<'a, 'b, 'extractor> Chunks<'a, 'b, 'extractor> {
});
if old_is_user_provided {
// when the document was `userProvided`, Meilisearch cannot know whose fragments a particular
// vector was referring to.
// So as a result Meilisearch will regenerate all fragments on this case.
// Fortunately, since dumps for fragments set regenerate to false, this case should be rare.
session.on_embed_mut().clear_vectors(docid);
insert_autogenerated(
docid,
external_docid,
extractors,
new_document,
&(),
session,
unused_vectors_distribution,
)?;
return Ok(());
}
update_autogenerated(
@ -811,18 +765,25 @@ impl<'a, 'b, 'extractor> Chunks<'a, 'b, 'extractor> {
new_document,
&(),
old_must_regenerate,
false,
session,
unused_vectors_distribution,
)?
}
};
self.set_status(
docid,
old_is_user_provided,
old_must_regenerate,
false,
new_must_regenerate,
);
Ok(())
}
#[allow(clippy::too_many_arguments)]
pub fn insert_autogenerated<'doc, D: Document<'doc> + Debug>(
pub fn insert_autogenerated<D: Document<'a> + Debug>(
&mut self,
docid: DocumentId,
external_docid: &'a str,
@ -830,10 +791,7 @@ impl<'a, 'b, 'extractor> Chunks<'a, 'b, 'extractor> {
new_fields_ids_map: &'a RefCell<crate::GlobalFieldsIdsMap>,
unused_vectors_distribution: &UnusedVectorsDistributionBump<'a>,
new_must_regenerate: bool,
) -> Result<()>
where
'a: 'doc,
{
) -> Result<()> {
let (default_is_user_provided, default_must_regenerate) = (false, true);
self.set_status(
docid,
@ -998,7 +956,6 @@ fn update_autogenerated<'doc, 'a: 'doc, 'b, E, OD, ND>(
new_document: ND,
meta: &E::DocumentMetadata,
old_must_regenerate: bool,
mut must_clear_on_generation: bool,
session: &mut EmbedSession<'a, OnEmbeddingDocumentUpdates<'a, 'b>, E::Input>,
unused_vectors_distribution: &UnusedVectorsDistributionBump<'a>,
) -> Result<()>
@ -1027,11 +984,6 @@ where
};
if must_regenerate {
if must_clear_on_generation {
must_clear_on_generation = false;
session.on_embed_mut().clear_vectors(docid);
}
let metadata =
Metadata { docid, external_docid, extractor_id: extractor.extractor_id() };
@ -1050,7 +1002,7 @@ where
Ok(())
}
fn insert_autogenerated<'doc, 'a: 'doc, 'b, E, D: Document<'doc> + Debug>(
fn insert_autogenerated<'a, 'b, E, D: Document<'a> + Debug>(
docid: DocumentId,
external_docid: &'a str,
extractors: impl IntoIterator<Item = E>,

View File

@ -135,7 +135,7 @@ where
extractor_alloc.0.reset();
}
let total_documents = document_changes.len() as u32;
let total_documents = document_changes.len() as u64;
let (step, progress_step) = AtomicDocumentStep::new(total_documents);
progress.update_progress(progress_step);
@ -167,7 +167,7 @@ where
});
let res = extractor.process(changes, context).map_err(Arc::new);
step.fetch_add(items.as_ref().len() as u32, Ordering::Relaxed);
step.fetch_add(items.as_ref().len() as u64, Ordering::Relaxed);
// send back the doc_alloc in the pool
context.doc_allocs.get_or_default().0.set(std::mem::take(&mut context.doc_alloc));

View File

@ -85,14 +85,14 @@ impl<'pl> DocumentOperation<'pl> {
let mut primary_key = None;
let payload_count = operations.len();
let (step, progress_step) = AtomicPayloadStep::new(payload_count as u32);
let (step, progress_step) = AtomicPayloadStep::new(payload_count as u64);
progress.update_progress(progress_step);
for (payload_index, operation) in operations.into_iter().enumerate() {
if must_stop_processing() {
return Err(InternalError::AbortedIndexation.into());
}
step.store(payload_index as u32, Ordering::Relaxed);
step.store(payload_index as u64, Ordering::Relaxed);
let mut bytes = 0;
let result = match operation {
@ -145,7 +145,7 @@ impl<'pl> DocumentOperation<'pl> {
};
operations_stats.push(PayloadStats { document_count, bytes, error });
}
step.store(payload_count as u32, Ordering::Relaxed);
step.store(payload_count as u64, Ordering::Relaxed);
// TODO We must drain the HashMap into a Vec because rayon::hash_map::IntoIter: !Clone
let mut docids_version_offsets: bumpalo::collections::vec::Vec<_> =

View File

@ -101,7 +101,7 @@ pub fn settings_change_extract<
extractor_alloc.0.reset();
}
let total_documents = documents.len() as u32;
let total_documents = documents.len() as u64;
let (step, progress_step) = AtomicDocumentStep::new(total_documents);
progress.update_progress(progress_step);
@ -132,7 +132,7 @@ pub fn settings_change_extract<
.filter_map(|item| documents.item_to_database_document(context, item).transpose());
let res = extractor.process(documents, context).map_err(Arc::new);
step.fetch_add(items.as_ref().len() as u32, Ordering::Relaxed);
step.fetch_add(items.as_ref().len() as u64, Ordering::Relaxed);
// send back the doc_alloc in the pool
context.doc_allocs.get_or_default().0.set(std::mem::take(&mut context.doc_alloc));

View File

@ -11,7 +11,7 @@ pub fn field_distribution(index: &Index, wtxn: &mut RwTxn<'_>, progress: &Progre
let field_id_map = index.fields_ids_map(wtxn)?;
let (update_document_count, sub_step) =
AtomicSubStep::<progress::Document>::new(document_count as u32);
AtomicSubStep::<progress::Document>::new(document_count as u64);
progress.update_progress(sub_step);
let docids = index.documents_ids(wtxn)?;

View File

@ -101,10 +101,6 @@ impl<T> Setting<T> {
matches!(self, Self::NotSet)
}
pub const fn is_reset(&self) -> bool {
matches!(self, Self::Reset)
}
/// If `Self` is `Reset`, then map self to `Set` with the provided `val`.
pub fn or_reset(self, val: T) -> Self {
match self {
@ -558,10 +554,10 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
match self.searchable_fields {
Setting::Set(ref fields) => {
// Check to see if the searchable fields changed before doing anything else
let old_fields = self.index.user_defined_searchable_fields(self.wtxn)?;
let old_fields = self.index.searchable_fields(self.wtxn)?;
let did_change = {
let new_fields = fields.iter().map(String::as_str).collect::<Vec<_>>();
old_fields.is_none_or(|old| new_fields != old)
new_fields != old_fields
};
if !did_change {
return Ok(false);
@ -1217,10 +1213,6 @@ impl<'a, 't, 'i> Settings<'a, 't, 'i> {
// new config
EitherOrBoth::Right((name, mut setting)) => {
tracing::debug!(embedder = name, "new embedder");
// if we are asked to reset an embedder that doesn't exist, just ignore it
if setting.is_reset() {
continue;
}
// apply the default source in case the source was not set so that it gets validated
crate::vector::settings::EmbeddingSettings::apply_default_source(&mut setting);
crate::vector::settings::EmbeddingSettings::apply_default_openai_model(

View File

@ -2,7 +2,6 @@ mod v1_12;
mod v1_13;
mod v1_14;
mod v1_15;
mod v1_16;
use heed::RwTxn;
use v1_12::{V1_12_3_To_V1_13_0, V1_12_To_V1_12_3};
use v1_13::{V1_13_0_To_V1_13_1, V1_13_1_To_Latest_V1_13};
@ -11,7 +10,6 @@ use v1_15::Latest_V1_14_To_Latest_V1_15;
use crate::constants::{VERSION_MAJOR, VERSION_MINOR, VERSION_PATCH};
use crate::progress::{Progress, VariableNameStep};
use crate::update::upgrade::v1_16::Latest_V1_15_To_V1_16_0;
use crate::{Index, InternalError, Result};
trait UpgradeIndex {
@ -26,59 +24,6 @@ trait UpgradeIndex {
fn target_version(&self) -> (u32, u32, u32);
}
const UPGRADE_FUNCTIONS: &[&dyn UpgradeIndex] = &[
&V1_12_To_V1_12_3 {},
&V1_12_3_To_V1_13_0 {},
&V1_13_0_To_V1_13_1 {},
&V1_13_1_To_Latest_V1_13 {},
&Latest_V1_13_To_Latest_V1_14 {},
&Latest_V1_14_To_Latest_V1_15 {},
&Latest_V1_15_To_V1_16_0 {},
// This is the last upgrade function, it will be called when the index is up to date.
// any other upgrade function should be added before this one.
&ToCurrentNoOp {},
];
/// Causes a compile-time error if the argument is not in range of `0..UPGRADE_FUNCTIONS.len()`
macro_rules! function_index {
($start:expr) => {{
const _CHECK_INDEX: () = {
if $start >= $crate::update::upgrade::UPGRADE_FUNCTIONS.len() {
panic!("upgrade functions out of range")
}
};
$start
}};
}
const fn start(from: (u32, u32, u32)) -> Option<usize> {
let start = match from {
(1, 12, 0..=2) => function_index!(0),
(1, 12, 3..) => function_index!(1),
(1, 13, 0) => function_index!(2),
(1, 13, _) => function_index!(4),
(1, 14, _) => function_index!(5),
// We must handle the current version in the match because in case of a failure some index may have been upgraded but not other.
(1, 15, _) => function_index!(6),
(1, 16, _) => function_index!(7),
// We deliberately don't add a placeholder with (VERSION_MAJOR, VERSION_MINOR, VERSION_PATCH) here to force manually
// considering dumpless upgrade.
(_major, _minor, _patch) => return None,
};
Some(start)
}
/// Causes a compile-time error if the latest package cannot be upgraded.
///
/// This serves as a reminder to consider the proper dumpless upgrade implementation when changing the package version.
const _CHECK_PACKAGE_CAN_UPGRADE: () = {
if start((VERSION_MAJOR, VERSION_MINOR, VERSION_PATCH)).is_none() {
panic!("cannot upgrade from latest package version")
}
};
/// Return true if the cached stats of the index must be regenerated
pub fn upgrade<MSP>(
wtxn: &mut RwTxn,
@ -91,12 +36,33 @@ where
MSP: Fn() -> bool + Sync,
{
let from = index.get_version(wtxn)?.unwrap_or(db_version);
let upgrade_functions: &[&dyn UpgradeIndex] = &[
&V1_12_To_V1_12_3 {},
&V1_12_3_To_V1_13_0 {},
&V1_13_0_To_V1_13_1 {},
&V1_13_1_To_Latest_V1_13 {},
&Latest_V1_13_To_Latest_V1_14 {},
&Latest_V1_14_To_Latest_V1_15 {},
// This is the last upgrade function, it will be called when the index is up to date.
// any other upgrade function should be added before this one.
&ToCurrentNoOp {},
];
let start =
start(from).ok_or_else(|| InternalError::CannotUpgradeToVersion(from.0, from.1, from.2))?;
let start = match from {
(1, 12, 0..=2) => 0,
(1, 12, 3..) => 1,
(1, 13, 0) => 2,
(1, 13, _) => 4,
(1, 14, _) => 5,
// We must handle the current version in the match because in case of a failure some index may have been upgraded but not other.
(1, 15, _) => 6,
(major, minor, patch) => {
return Err(InternalError::CannotUpgradeToVersion(major, minor, patch).into())
}
};
enum UpgradeVersion {}
let upgrade_path = &UPGRADE_FUNCTIONS[start..];
let upgrade_path = &upgrade_functions[start..];
let mut current_version = from;
let mut regenerate_stats = false;
@ -115,8 +81,8 @@ where
target.1,
target.2
),
i as u32,
upgrade_path.len() as u32,
i as u64,
upgrade_path.len() as u64,
));
regenerate_stats |= upgrade.upgrade(wtxn, index, from, progress.clone())?;
index.put_version(wtxn, target)?;

View File

@ -1,6 +1,4 @@
use heed::RwTxn;
use roaring::RoaringBitmap;
use serde::Deserialize;
use super::UpgradeIndex;
use crate::progress::Progress;
@ -28,14 +26,3 @@ impl UpgradeIndex for Latest_V1_14_To_Latest_V1_15 {
(1, 15, 0)
}
}
/// Parts of v1.15 `IndexingEmbeddingConfig` that are relevant for upgrade to v1.16
///
/// # Warning
///
/// This object should not be rewritten to the DB, only read to get the name and `user_provided` roaring.
#[derive(Debug, Deserialize)]
pub struct IndexEmbeddingConfig {
pub name: String,
pub user_provided: RoaringBitmap,
}

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@ -1,48 +0,0 @@
use heed::types::{SerdeJson, Str};
use heed::RwTxn;
use super::UpgradeIndex;
use crate::progress::Progress;
use crate::vector::db::{EmbedderInfo, EmbeddingStatus};
use crate::{Index, InternalError, Result};
#[allow(non_camel_case_types)]
pub(super) struct Latest_V1_15_To_V1_16_0();
impl UpgradeIndex for Latest_V1_15_To_V1_16_0 {
fn upgrade(
&self,
wtxn: &mut RwTxn,
index: &Index,
_original: (u32, u32, u32),
_progress: Progress,
) -> Result<bool> {
let v1_15_indexing_configs = index
.main
.remap_types::<Str, SerdeJson<Vec<super::v1_15::IndexEmbeddingConfig>>>()
.get(wtxn, crate::index::main_key::EMBEDDING_CONFIGS)?
.unwrap_or_default();
let embedders = index.embedding_configs();
for config in v1_15_indexing_configs {
let embedder_id = embedders.embedder_id(wtxn, &config.name)?.ok_or(
InternalError::DatabaseMissingEntry {
db_name: crate::index::db_name::VECTOR_EMBEDDER_CATEGORY_ID,
key: None,
},
)?;
let info = EmbedderInfo {
embedder_id,
// v1.15 used not to make a difference between `user_provided` and `! regenerate`.
embedding_status: EmbeddingStatus::from_user_provided(config.user_provided),
};
embedders.put_embedder_info(wtxn, &config.name, &info)?;
}
Ok(false)
}
fn target_version(&self) -> (u32, u32, u32) {
(1, 16, 0)
}
}

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@ -59,24 +59,12 @@ pub struct EmbedderOptions {
impl Embedder {
pub fn new(
EmbedderOptions { search: search_options, index: index_options }: EmbedderOptions,
EmbedderOptions { search, index }: EmbedderOptions,
cache_cap: usize,
) -> Result<Self, NewEmbedderError> {
// don't check similarity if one child is a rest embedder with fragments
// FIXME: skipping the check isn't ideal but we are unsure how to handle fragments in this context
let mut skip_similarity_check = false;
for options in [&search_options, &index_options] {
if let SubEmbedderOptions::Rest(options) = &options {
if !options.search_fragments.is_empty() || !options.indexing_fragments.is_empty() {
skip_similarity_check = true;
break;
}
}
}
let search = SubEmbedder::new(search_options, cache_cap)?;
let search = SubEmbedder::new(search, cache_cap)?;
// cache is only used at search
let index = SubEmbedder::new(index_options, 0)?;
let index = SubEmbedder::new(index, 0)?;
// check dimensions
if search.dimensions() != index.dimensions() {
@ -85,12 +73,7 @@ impl Embedder {
index.dimensions(),
));
}
// check similarity
if skip_similarity_check {
return Ok(Self { search, index });
}
let search_embeddings = search
.embed(
vec![

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@ -117,13 +117,6 @@ impl EmbeddingStatus {
Default::default()
}
/// Create a new `EmbeddingStatus` that assumes that any `user_provided` docid is also skipping regenerate.
///
/// Used for migration from v1.15 and earlier DBs.
pub(crate) fn from_user_provided(user_provided: RoaringBitmap) -> Self {
Self { user_provided, skip_regenerate_different_from_user_provided: Default::default() }
}
/// Whether the document contains user-provided vectors for that embedder.
pub fn is_user_provided(&self, docid: DocumentId) -> bool {
self.user_provided.contains(docid)

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@ -133,7 +133,7 @@ impl ArroyWrapper {
}
#[allow(clippy::too_many_arguments)]
pub fn build_and_quantize<R: rand::Rng + rand::SeedableRng>(
pub fn build_and_quantize<R: rand::Rng + rand::SeedableRng + Send + Sync>(
&mut self,
wtxn: &mut RwTxn,
progress: &Progress,
@ -841,25 +841,6 @@ impl EmbedderOptions {
}
}
}
pub fn has_fragments(&self) -> bool {
match &self {
EmbedderOptions::HuggingFace(_)
| EmbedderOptions::OpenAi(_)
| EmbedderOptions::Ollama(_)
| EmbedderOptions::UserProvided(_) => false,
EmbedderOptions::Rest(embedder_options) => {
!embedder_options.indexing_fragments.is_empty()
}
EmbedderOptions::Composite(embedder_options) => {
if let SubEmbedderOptions::Rest(embedder_options) = &embedder_options.index {
!embedder_options.indexing_fragments.is_empty()
} else {
false
}
}
}
}
}
impl Default for EmbedderOptions {