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15 Commits

Author SHA1 Message Date
Louis Dureuil
8f65605845 TMP: remove optimization where later ranking rules are not applied on buckets of a single document 2023-05-30 11:12:28 +02:00
meili-bors[bot]
0a7817a002 Merge #3786
3786: Consistently use wrapping add to avoid overflow in debug when query s… r=dureuill a=dureuill

# Pull Request

## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/3785

## What does this PR do?
- Some of the code paths would erroneously use the default addition operator that has the semantics that "overflow is an error, checked at runtime in debug" instead of the intended "overflow is expected" semantics that this code use (this code is using `u16::MAX` as a sentinel). This PR makes it so the wrapping add operator is used everywhere.

Co-authored-by: Louis Dureuil <louis@meilisearch.com>
2023-05-29 12:39:54 +00:00
Louis Dureuil
1dfc4038ab Add test that fails before PR and passes now 2023-05-29 11:58:26 +02:00
Louis Dureuil
73198179f1 Consistently use wrapping add to avoid overflow in debug when query starts with a separator 2023-05-29 11:54:12 +02:00
meili-bors[bot]
087866d59f Merge #3775
3775: Last error code changes on the new get/delete documents routes r=dureuill a=irevoire

# Pull Request

## Related issue
Fixes #3774

## What does this PR do?
Following the specification: https://github.com/meilisearch/specifications/pull/236

1. Get rid of the `invalid_document_delete_filter` and always use the `invalid_document_filter`
2. Introduce a new `missing_document_filter` instead of returning `invalid_document_delete_filter` (that’s consistent with all the other routes that have a mandatory parameter)
3. Always return the `original_filter` in the details (potentially set to `null`) instead of hiding it if it wasn’t used


Co-authored-by: Tamo <tamo@meilisearch.com>
2023-05-24 10:07:41 +00:00
Tamo
9111f5176f get rid of the invalid document delete filter in favor of the invalid document filter 2023-05-24 11:53:16 +02:00
Tamo
b9dd092a62 make the details return null in the originalFilter field if no filter was provided + add a big test on the details 2023-05-24 11:48:22 +02:00
Tamo
ca99bc3188 implement the missing document filter error code when deleting documents 2023-05-24 11:29:20 +02:00
meili-bors[bot]
2e49d6aec1 Merge #3768
3768: Fix bugs in graph-based ranking rules + make `words` a graph-based ranking rule r=dureuill a=loiclec

This PR contains three changes:

## 1. Don't call the `words` ranking rule if the term matching strategy is `All`

This is because the purpose of `words` is only to remove nodes from the query graph. It would never do any useful work when the matching strategy was `All`. Remember that the universe was already computed before by computing all the docids corresponding to the "maximally reduced" query graph, which, in the case of `All`, is equal to the original graph.

## 2. The `words` ranking rule is replaced by a graph-based ranking rule. 

This is for three reasons:

1. **performance**: graph-based ranking rules benefit from a lot of optimisations by default, which ensures that they are never too slow. The previous implementation of `words` could call `compute_query_graph_docids` many times if some words had to be removed from the query, which would be quite expensive. I was especially worried about its performance in cases where it is placed right after the `sort` ranking rule. Furthermore, `compute_query_graph_docids` would clone a lot of bitmaps many times unnecessarily.

2. **consistency**: every other ranking rule (except `sort`) is graph-based. It makes sense to implement `words` like that as well. It will automatically benefit from all the features, optimisations, and bug fixes that all the other ranking rules get.

3. **surfacing bugs**: as the first ranking rule to be called (most of the time), I'd like `words` to behave the same as the other ranking rules so that we can quickly detect bugs in our graph algorithms. This actually already happened, which is why this PR also contains a bug fix.

## 3. Fix the `update_all_costs_before_nodes` function

It is a bit difficult to explain what was wrong, but I'll try. The bug happened when we had graphs like:
<img width="730" alt="Screenshot 2023-05-16 at 10 58 57" src="https://github.com/meilisearch/meilisearch/assets/6040237/40db1a68-d852-4e89-99d5-0d65757242a7">
and we gave the node `is` as argument.

Then, we'd walk backwards from the node breadth-first. We'd update the costs of:
1. `sun`
2. `thesun`
3. `start`
4. `the`

which is an incorrect order. The correct order is:

1. `sun`
2. `thesun`
3. `the`
4. `start`

That is, we can only update the cost of a node when all of its successors have either already been visited or were not affected by the update to the node passed as argument. To solve this bug, I factored out the graph-traversal logic into a `traverse_breadth_first_backward` function.


Co-authored-by: Loïc Lecrenier <loic.lecrenier@me.com>
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
2023-05-23 13:28:08 +00:00
Louis Dureuil
51043f78f0 Remove trailing whitespace 2023-05-23 15:27:25 +02:00
Louis Dureuil
a490a11325 Add explanatory comment on the way we're recomputing costs 2023-05-23 15:24:24 +02:00
Loïc Lecrenier
ec8f685d84 Fix bug in cheapest path algorithm 2023-05-16 17:01:30 +02:00
Loïc Lecrenier
5758268866 Don't compute split_words for phrases 2023-05-16 17:01:18 +02:00
Loïc Lecrenier
a37da36766 Implement words as a graph-based ranking rule and fix some bugs 2023-05-16 10:42:11 +02:00
Loïc Lecrenier
85d96d35a8 Highlight ngram matches as well 2023-05-16 10:39:36 +02:00
19 changed files with 363 additions and 191 deletions

View File

@@ -150,6 +150,7 @@ make_missing_field_convenience_builder!(MissingApiKeyActions, missing_api_key_ac
make_missing_field_convenience_builder!(MissingApiKeyExpiresAt, missing_api_key_expires_at);
make_missing_field_convenience_builder!(MissingApiKeyIndexes, missing_api_key_indexes);
make_missing_field_convenience_builder!(MissingSwapIndexes, missing_swap_indexes);
make_missing_field_convenience_builder!(MissingDocumentFilter, missing_document_filter);
// Integrate a sub-error into a [`DeserrError`] by taking its error message but using
// the default error code (C) from `Self`

View File

@@ -214,12 +214,12 @@ InvalidApiKeyUid , InvalidRequest , BAD_REQUEST ;
InvalidContentType , InvalidRequest , UNSUPPORTED_MEDIA_TYPE ;
InvalidDocumentCsvDelimiter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFields , InvalidRequest , BAD_REQUEST ;
MissingDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentFilter , InvalidRequest , BAD_REQUEST ;
InvalidDocumentGeoField , InvalidRequest , BAD_REQUEST ;
InvalidDocumentId , InvalidRequest , BAD_REQUEST ;
InvalidDocumentLimit , InvalidRequest , BAD_REQUEST ;
InvalidDocumentOffset , InvalidRequest , BAD_REQUEST ;
InvalidDocumentDeleteFilter , InvalidRequest , BAD_REQUEST ;
InvalidIndexLimit , InvalidRequest , BAD_REQUEST ;
InvalidIndexOffset , InvalidRequest , BAD_REQUEST ;
InvalidIndexPrimaryKey , InvalidRequest , BAD_REQUEST ;

View File

@@ -61,7 +61,7 @@ impl ErrorCode for MeilisearchHttpError {
MeilisearchHttpError::MissingPayload(_) => Code::MissingPayload,
MeilisearchHttpError::InvalidContentType(_, _) => Code::InvalidContentType,
MeilisearchHttpError::DocumentNotFound(_) => Code::DocumentNotFound,
MeilisearchHttpError::EmptyFilter => Code::InvalidDocumentDeleteFilter,
MeilisearchHttpError::EmptyFilter => Code::InvalidDocumentFilter,
MeilisearchHttpError::InvalidExpression(_, _) => Code::InvalidSearchFilter,
MeilisearchHttpError::PayloadTooLarge(_) => Code::PayloadTooLarge,
MeilisearchHttpError::SwapIndexPayloadWrongLength(_) => Code::InvalidSwapIndexes,

View File

@@ -486,7 +486,7 @@ pub async fn delete_documents_batch(
#[derive(Debug, Deserr)]
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
pub struct DocumentDeletionByFilter {
#[deserr(error = DeserrJsonError<InvalidDocumentDeleteFilter>)]
#[deserr(error = DeserrJsonError<InvalidDocumentFilter>, missing_field_error = DeserrJsonError::missing_document_filter)]
filter: Value,
}
@@ -508,8 +508,8 @@ pub async fn delete_documents_by_filter(
|| -> Result<_, ResponseError> {
Ok(crate::search::parse_filter(&filter)?.ok_or(MeilisearchHttpError::EmptyFilter)?)
}()
// and whatever was the error, the error code should always be an InvalidDocumentDeleteFilter
.map_err(|err| ResponseError::from_msg(err.message, Code::InvalidDocumentDeleteFilter))?;
// and whatever was the error, the error code should always be an InvalidDocumentFilter
.map_err(|err| ResponseError::from_msg(err.message, Code::InvalidDocumentFilter))?;
let task = KindWithContent::DocumentDeletionByFilter { index_uid, filter_expr: filter };
let task: SummarizedTaskView =

View File

@@ -99,7 +99,7 @@ pub struct DetailsView {
#[serde(skip_serializing_if = "Option::is_none")]
pub deleted_tasks: Option<Option<u64>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub original_filter: Option<String>,
pub original_filter: Option<Option<String>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub dump_uid: Option<Option<String>>,
#[serde(skip_serializing_if = "Option::is_none")]
@@ -131,12 +131,13 @@ impl From<Details> for DetailsView {
} => DetailsView {
provided_ids: Some(received_document_ids),
deleted_documents: Some(deleted_documents),
original_filter: Some(None),
..DetailsView::default()
},
Details::DocumentDeletionByFilter { original_filter, deleted_documents } => {
DetailsView {
provided_ids: Some(0),
original_filter: Some(original_filter),
original_filter: Some(Some(original_filter)),
deleted_documents: Some(deleted_documents),
..DetailsView::default()
}
@@ -148,7 +149,7 @@ impl From<Details> for DetailsView {
DetailsView {
matched_tasks: Some(matched_tasks),
canceled_tasks: Some(canceled_tasks),
original_filter: Some(original_filter),
original_filter: Some(Some(original_filter)),
..DetailsView::default()
}
}
@@ -156,7 +157,7 @@ impl From<Details> for DetailsView {
DetailsView {
matched_tasks: Some(matched_tasks),
deleted_tasks: Some(deleted_tasks),
original_filter: Some(original_filter),
original_filter: Some(Some(original_filter)),
..DetailsView::default()
}
}

View File

@@ -547,9 +547,9 @@ async fn delete_document_by_filter() {
snapshot!(json_string!(response), @r###"
{
"message": "Invalid syntax for the filter parameter: `expected String, Array, found: true`.",
"code": "invalid_document_delete_filter",
"code": "invalid_document_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_document_delete_filter"
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
}
"###);
@@ -559,9 +559,9 @@ async fn delete_document_by_filter() {
snapshot!(json_string!(response), @r###"
{
"message": "Was expecting an operation `=`, `!=`, `>=`, `>`, `<=`, `<`, `IN`, `NOT IN`, `TO`, `EXISTS`, `NOT EXISTS`, `IS NULL`, `IS NOT NULL`, `IS EMPTY`, `IS NOT EMPTY`, `_geoRadius`, or `_geoBoundingBox` at `hello`.\n1:6 hello",
"code": "invalid_document_delete_filter",
"code": "invalid_document_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_document_delete_filter"
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
}
"###);
@@ -571,9 +571,21 @@ async fn delete_document_by_filter() {
snapshot!(json_string!(response), @r###"
{
"message": "Sending an empty filter is forbidden.",
"code": "invalid_document_delete_filter",
"code": "invalid_document_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_document_delete_filter"
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
}
"###);
// do not send any filter
let (response, code) = index.delete_document_by_filter(json!({})).await;
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r###"
{
"message": "Missing field `filter`",
"code": "missing_document_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#missing_document_filter"
}
"###);

View File

@@ -413,7 +413,7 @@ async fn test_summarized_document_addition_or_update() {
}
#[actix_web::test]
async fn test_summarized_delete_batch() {
async fn test_summarized_delete_documents_by_batch() {
let server = Server::new().await;
let index = server.index("test");
index.delete_batch(vec![1, 2, 3]).await;
@@ -430,7 +430,8 @@ async fn test_summarized_delete_batch() {
"canceledBy": null,
"details": {
"providedIds": 3,
"deletedDocuments": 0
"deletedDocuments": 0,
"originalFilter": null
},
"error": {
"message": "Index `test` not found.",
@@ -460,7 +461,8 @@ async fn test_summarized_delete_batch() {
"canceledBy": null,
"details": {
"providedIds": 1,
"deletedDocuments": 0
"deletedDocuments": 0,
"originalFilter": null
},
"error": null,
"duration": "[duration]",
@@ -472,7 +474,100 @@ async fn test_summarized_delete_batch() {
}
#[actix_web::test]
async fn test_summarized_delete_document() {
async fn test_summarized_delete_documents_by_filter() {
let server = Server::new().await;
let index = server.index("test");
index.delete_document_by_filter(json!({ "filter": "doggo = bernese" })).await;
index.wait_task(0).await;
let (task, _) = index.get_task(0).await;
assert_json_snapshot!(task,
{ ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" },
@r###"
{
"uid": 0,
"indexUid": "test",
"status": "failed",
"type": "documentDeletion",
"canceledBy": null,
"details": {
"providedIds": 0,
"deletedDocuments": 0,
"originalFilter": "\"doggo = bernese\""
},
"error": {
"message": "Index `test` not found.",
"code": "index_not_found",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#index_not_found"
},
"duration": "[duration]",
"enqueuedAt": "[date]",
"startedAt": "[date]",
"finishedAt": "[date]"
}
"###);
index.create(None).await;
index.delete_document_by_filter(json!({ "filter": "doggo = bernese" })).await;
index.wait_task(2).await;
let (task, _) = index.get_task(2).await;
assert_json_snapshot!(task,
{ ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" },
@r###"
{
"uid": 2,
"indexUid": "test",
"status": "failed",
"type": "documentDeletion",
"canceledBy": null,
"details": {
"providedIds": 0,
"deletedDocuments": 0,
"originalFilter": "\"doggo = bernese\""
},
"error": {
"message": "Attribute `doggo` is not filterable. This index does not have configured filterable attributes.\n1:6 doggo = bernese",
"code": "invalid_document_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
},
"duration": "[duration]",
"enqueuedAt": "[date]",
"startedAt": "[date]",
"finishedAt": "[date]"
}
"###);
index.update_settings(json!({ "filterableAttributes": ["doggo"] })).await;
index.delete_document_by_filter(json!({ "filter": "doggo = bernese" })).await;
index.wait_task(4).await;
let (task, _) = index.get_task(4).await;
assert_json_snapshot!(task,
{ ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" },
@r###"
{
"uid": 4,
"indexUid": "test",
"status": "succeeded",
"type": "documentDeletion",
"canceledBy": null,
"details": {
"providedIds": 0,
"deletedDocuments": 0,
"originalFilter": "\"doggo = bernese\""
},
"error": null,
"duration": "[duration]",
"enqueuedAt": "[date]",
"startedAt": "[date]",
"finishedAt": "[date]"
}
"###);
}
#[actix_web::test]
async fn test_summarized_delete_document_by_id() {
let server = Server::new().await;
let index = server.index("test");
index.delete_document(1).await;
@@ -489,7 +584,8 @@ async fn test_summarized_delete_document() {
"canceledBy": null,
"details": {
"providedIds": 1,
"deletedDocuments": 0
"deletedDocuments": 0,
"originalFilter": null
},
"error": {
"message": "Index `test` not found.",
@@ -519,7 +615,8 @@ async fn test_summarized_delete_document() {
"canceledBy": null,
"details": {
"providedIds": 1,
"deletedDocuments": 0
"deletedDocuments": 0,
"originalFilter": null
},
"error": null,
"duration": "[duration]",

View File

@@ -116,16 +116,15 @@ pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
}
while valid_docids.len() < length {
// The universe for this bucket is zero or one element, so we don't need to sort
// anything, just extend the results and go back to the parent ranking rule.
if ranking_rule_universes[cur_ranking_rule_index].len() <= 1 {
let bucket = std::mem::take(&mut ranking_rule_universes[cur_ranking_rule_index]);
maybe_add_to_results!(bucket);
// The universe for this bucket is zero element, so we don't need to sort
// anything, just go back to the parent ranking rule.
if ranking_rule_universes[cur_ranking_rule_index].is_empty() {
back!();
continue;
}
let Some(next_bucket) = ranking_rules[cur_ranking_rule_index].next_bucket(ctx, logger, &ranking_rule_universes[cur_ranking_rule_index])? else {
let Some(next_bucket) = ranking_rules[cur_ranking_rule_index].next_bucket(ctx, logger, &ranking_rule_universes[cur_ranking_rule_index])?
else {
back!();
continue;
};

View File

@@ -46,7 +46,7 @@ use super::logger::SearchLogger;
use super::query_graph::QueryNode;
use super::ranking_rule_graph::{
ConditionDocIdsCache, DeadEndsCache, ExactnessGraph, FidGraph, PositionGraph, ProximityGraph,
RankingRuleGraph, RankingRuleGraphTrait, TypoGraph,
RankingRuleGraph, RankingRuleGraphTrait, TypoGraph, WordsGraph,
};
use super::small_bitmap::SmallBitmap;
use super::{QueryGraph, RankingRule, RankingRuleOutput, SearchContext};
@@ -54,6 +54,12 @@ use crate::search::new::query_term::LocatedQueryTermSubset;
use crate::search::new::ranking_rule_graph::PathVisitor;
use crate::{Result, TermsMatchingStrategy};
pub type Words = GraphBasedRankingRule<WordsGraph>;
impl GraphBasedRankingRule<WordsGraph> {
pub fn new(terms_matching_strategy: TermsMatchingStrategy) -> Self {
Self::new_with_id("words".to_owned(), Some(terms_matching_strategy))
}
}
pub type Proximity = GraphBasedRankingRule<ProximityGraph>;
impl GraphBasedRankingRule<ProximityGraph> {
pub fn new(terms_matching_strategy: Option<TermsMatchingStrategy>) -> Self {
@@ -175,9 +181,6 @@ impl<'ctx, G: RankingRuleGraphTrait> RankingRule<'ctx, QueryGraph> for GraphBase
logger: &mut dyn SearchLogger<QueryGraph>,
universe: &RoaringBitmap,
) -> Result<Option<RankingRuleOutput<QueryGraph>>> {
// If universe.len() <= 1, the bucket sort algorithm
// should not have called this function.
assert!(universe.len() > 1);
// Will crash if `next_bucket` is called before `start_iteration` or after `end_iteration`,
// should never happen
let mut state = self.state.take().unwrap();

View File

@@ -4,7 +4,6 @@ use std::io::{BufWriter, Write};
use std::path::{Path, PathBuf};
use std::time::Instant;
// use rand::random;
use roaring::RoaringBitmap;
use crate::search::new::interner::Interned;
@@ -13,6 +12,7 @@ use crate::search::new::query_term::LocatedQueryTermSubset;
use crate::search::new::ranking_rule_graph::{
Edge, FidCondition, FidGraph, PositionCondition, PositionGraph, ProximityCondition,
ProximityGraph, RankingRuleGraph, RankingRuleGraphTrait, TypoCondition, TypoGraph,
WordsCondition, WordsGraph,
};
use crate::search::new::ranking_rules::BoxRankingRule;
use crate::search::new::{QueryGraph, QueryNode, RankingRule, SearchContext, SearchLogger};
@@ -24,11 +24,12 @@ pub enum SearchEvents {
RankingRuleSkipBucket { ranking_rule_idx: usize, bucket_len: u64 },
RankingRuleEndIteration { ranking_rule_idx: usize, universe_len: u64 },
ExtendResults { new: Vec<u32> },
WordsGraph { query_graph: QueryGraph },
ProximityGraph { graph: RankingRuleGraph<ProximityGraph> },
ProximityPaths { paths: Vec<Vec<Interned<ProximityCondition>>> },
TypoGraph { graph: RankingRuleGraph<TypoGraph> },
TypoPaths { paths: Vec<Vec<Interned<TypoCondition>>> },
WordsGraph { graph: RankingRuleGraph<WordsGraph> },
WordsPaths { paths: Vec<Vec<Interned<WordsCondition>>> },
FidGraph { graph: RankingRuleGraph<FidGraph> },
FidPaths { paths: Vec<Vec<Interned<FidCondition>>> },
PositionGraph { graph: RankingRuleGraph<PositionGraph> },
@@ -139,8 +140,11 @@ impl SearchLogger<QueryGraph> for VisualSearchLogger {
let Some(location) = self.location.last() else { return };
match location {
Location::Words => {
if let Some(query_graph) = state.downcast_ref::<QueryGraph>() {
self.events.push(SearchEvents::WordsGraph { query_graph: query_graph.clone() });
if let Some(graph) = state.downcast_ref::<RankingRuleGraph<WordsGraph>>() {
self.events.push(SearchEvents::WordsGraph { graph: graph.clone() });
}
if let Some(paths) = state.downcast_ref::<Vec<Vec<Interned<WordsCondition>>>>() {
self.events.push(SearchEvents::WordsPaths { paths: paths.clone() });
}
}
Location::Typo => {
@@ -329,7 +333,6 @@ impl<'ctx> DetailedLoggerFinish<'ctx> {
SearchEvents::ExtendResults { new } => {
self.write_extend_results(new)?;
}
SearchEvents::WordsGraph { query_graph } => self.write_words_graph(query_graph)?,
SearchEvents::ProximityGraph { graph } => self.write_rr_graph(&graph)?,
SearchEvents::ProximityPaths { paths } => {
self.write_rr_graph_paths::<ProximityGraph>(paths)?;
@@ -338,6 +341,10 @@ impl<'ctx> DetailedLoggerFinish<'ctx> {
SearchEvents::TypoPaths { paths } => {
self.write_rr_graph_paths::<TypoGraph>(paths)?;
}
SearchEvents::WordsGraph { graph } => self.write_rr_graph(&graph)?,
SearchEvents::WordsPaths { paths } => {
self.write_rr_graph_paths::<WordsGraph>(paths)?;
}
SearchEvents::FidGraph { graph } => self.write_rr_graph(&graph)?,
SearchEvents::FidPaths { paths } => {
self.write_rr_graph_paths::<FidGraph>(paths)?;
@@ -455,7 +462,7 @@ fill: \"#B6E2D3\"
shape: class
max_nbr_typo: {}",
term_subset.description(ctx),
term_subset.max_nbr_typos(ctx)
term_subset.max_typo_cost(ctx)
)?;
for w in term_subset.all_single_words_except_prefix_db(ctx)? {
@@ -482,13 +489,6 @@ fill: \"#B6E2D3\"
}
Ok(())
}
fn write_words_graph(&mut self, qg: QueryGraph) -> Result<()> {
self.make_new_file_for_internal_state_if_needed()?;
self.write_query_graph(&qg)?;
Ok(())
}
fn write_rr_graph<R: RankingRuleGraphTrait>(
&mut self,
graph: &RankingRuleGraph<R>,

View File

@@ -15,11 +15,7 @@ mod resolve_query_graph;
mod small_bitmap;
mod exact_attribute;
// TODO: documentation + comments
// implementation is currently an adaptation of the previous implementation to fit with the new model
mod sort;
// TODO: documentation + comments
mod words;
#[cfg(test)]
mod tests;
@@ -43,10 +39,10 @@ use ranking_rules::{
use resolve_query_graph::{compute_query_graph_docids, PhraseDocIdsCache};
use roaring::RoaringBitmap;
use sort::Sort;
use words::Words;
use self::geo_sort::GeoSort;
pub use self::geo_sort::Strategy as GeoSortStrategy;
use self::graph_based_ranking_rule::Words;
use self::interner::Interned;
use crate::search::new::distinct::apply_distinct_rule;
use crate::{AscDesc, DocumentId, Filter, Index, Member, Result, TermsMatchingStrategy, UserError};
@@ -202,6 +198,11 @@ fn get_ranking_rules_for_query_graph_search<'ctx>(
let mut sorted_fields = HashSet::new();
let mut geo_sorted = false;
// Don't add the `words` ranking rule if the term matching strategy is `All`
if matches!(terms_matching_strategy, TermsMatchingStrategy::All) {
words = true;
}
let mut ranking_rules: Vec<BoxRankingRule<QueryGraph>> = vec![];
let settings_ranking_rules = ctx.index.criteria(ctx.txn)?;
for rr in settings_ranking_rules {

View File

@@ -28,14 +28,14 @@ pub enum ZeroOrOneTypo {
impl Interned<QueryTerm> {
pub fn compute_fully_if_needed(self, ctx: &mut SearchContext) -> Result<()> {
let s = ctx.term_interner.get_mut(self);
if s.max_nbr_typos <= 1 && s.one_typo.is_uninit() {
if s.max_levenshtein_distance <= 1 && s.one_typo.is_uninit() {
assert!(s.two_typo.is_uninit());
// Initialize one_typo subterm even if max_nbr_typo is 0 because of split words
self.initialize_one_typo_subterm(ctx)?;
let s = ctx.term_interner.get_mut(self);
assert!(s.one_typo.is_init());
s.two_typo = Lazy::Init(TwoTypoTerm::default());
} else if s.max_nbr_typos > 1 && s.two_typo.is_uninit() {
} else if s.max_levenshtein_distance > 1 && s.two_typo.is_uninit() {
assert!(s.two_typo.is_uninit());
self.initialize_one_and_two_typo_subterm(ctx)?;
let s = ctx.term_interner.get_mut(self);
@@ -185,7 +185,7 @@ pub fn partially_initialized_term_from_word(
original: ctx.word_interner.insert(word.to_owned()),
ngram_words: None,
is_prefix: false,
max_nbr_typos: 0,
max_levenshtein_distance: 0,
zero_typo: <_>::default(),
one_typo: Lazy::Init(<_>::default()),
two_typo: Lazy::Init(<_>::default()),
@@ -256,7 +256,7 @@ pub fn partially_initialized_term_from_word(
Ok(QueryTerm {
original: word_interned,
ngram_words: None,
max_nbr_typos: max_typo,
max_levenshtein_distance: max_typo,
is_prefix,
zero_typo,
one_typo: Lazy::Uninit,
@@ -275,7 +275,16 @@ fn find_split_words(ctx: &mut SearchContext, word: &str) -> Result<Option<Intern
impl Interned<QueryTerm> {
fn initialize_one_typo_subterm(self, ctx: &mut SearchContext) -> Result<()> {
let self_mut = ctx.term_interner.get_mut(self);
let QueryTerm { original, is_prefix, one_typo, max_nbr_typos, .. } = self_mut;
let allows_split_words = self_mut.allows_split_words();
let QueryTerm {
original,
is_prefix,
one_typo,
max_levenshtein_distance: max_nbr_typos,
..
} = self_mut;
let original = *original;
let is_prefix = *is_prefix;
// let original_str = ctx.word_interner.get(*original).to_owned();
@@ -300,13 +309,17 @@ impl Interned<QueryTerm> {
})?;
}
let original_str = ctx.word_interner.get(original).to_owned();
let split_words = find_split_words(ctx, original_str.as_str())?;
let split_words = if allows_split_words {
let original_str = ctx.word_interner.get(original).to_owned();
find_split_words(ctx, original_str.as_str())?
} else {
None
};
let self_mut = ctx.term_interner.get_mut(self);
// Only add the split words to the derivations if:
// 1. the term is not an ngram; OR
// 1. the term is neither an ngram nor a phrase; OR
// 2. the term is an ngram, but the split words are different from the ngram's component words
let split_words = if let Some((ngram_words, split_words)) =
self_mut.ngram_words.as_ref().zip(split_words.as_ref())
@@ -328,7 +341,13 @@ impl Interned<QueryTerm> {
}
fn initialize_one_and_two_typo_subterm(self, ctx: &mut SearchContext) -> Result<()> {
let self_mut = ctx.term_interner.get_mut(self);
let QueryTerm { original, is_prefix, two_typo, max_nbr_typos, .. } = self_mut;
let QueryTerm {
original,
is_prefix,
two_typo,
max_levenshtein_distance: max_nbr_typos,
..
} = self_mut;
let original_str = ctx.word_interner.get(*original).to_owned();
if two_typo.is_init() {
return Ok(());

View File

@@ -43,7 +43,7 @@ pub struct QueryTermSubset {
pub struct QueryTerm {
original: Interned<String>,
ngram_words: Option<Vec<Interned<String>>>,
max_nbr_typos: u8,
max_levenshtein_distance: u8,
is_prefix: bool,
zero_typo: ZeroTypoTerm,
// May not be computed yet
@@ -342,10 +342,16 @@ impl QueryTermSubset {
}
None
}
pub fn max_nbr_typos(&self, ctx: &SearchContext) -> u8 {
pub fn max_typo_cost(&self, ctx: &SearchContext) -> u8 {
let t = ctx.term_interner.get(self.original);
match t.max_nbr_typos {
0 => 0,
match t.max_levenshtein_distance {
0 => {
if t.allows_split_words() {
1
} else {
0
}
}
1 => {
if self.one_typo_subset.is_empty() {
0
@@ -438,6 +444,9 @@ impl QueryTerm {
self.zero_typo.is_empty() && one_typo.is_empty() && two_typo.is_empty()
}
fn allows_split_words(&self) -> bool {
self.zero_typo.phrase.is_none()
}
}
impl Interned<QueryTerm> {

View File

@@ -77,13 +77,9 @@ pub fn located_query_terms_from_tokens(
}
}
TokenKind::Separator(separator_kind) => {
match separator_kind {
SeparatorKind::Hard => {
position += 1;
}
SeparatorKind::Soft => {
position += 0;
}
// add penalty for hard separators
if let SeparatorKind::Hard = separator_kind {
position = position.wrapping_add(1);
}
phrase = 'phrase: {
@@ -217,7 +213,7 @@ pub fn make_ngram(
original: ngram_str_interned,
ngram_words: Some(words_interned),
is_prefix,
max_nbr_typos,
max_levenshtein_distance: max_nbr_typos,
zero_typo: term.zero_typo,
one_typo: Lazy::Uninit,
two_typo: Lazy::Uninit,
@@ -271,7 +267,7 @@ impl PhraseBuilder {
QueryTerm {
original: ctx.word_interner.insert(phrase_desc),
ngram_words: None,
max_nbr_typos: 0,
max_levenshtein_distance: 0,
is_prefix: false,
zero_typo: ZeroTypoTerm {
phrase: Some(phrase),
@@ -288,3 +284,36 @@ impl PhraseBuilder {
})
}
}
#[cfg(test)]
mod tests {
use charabia::TokenizerBuilder;
use super::*;
use crate::index::tests::TempIndex;
fn temp_index_with_documents() -> TempIndex {
let temp_index = TempIndex::new();
temp_index
.add_documents(documents!([
{ "id": 1, "name": "split this world westfali westfalia the Ŵôřlḑôle" },
{ "id": 2, "name": "Westfália" },
{ "id": 3, "name": "Ŵôřlḑôle" },
]))
.unwrap();
temp_index
}
#[test]
fn start_with_hard_separator() -> Result<()> {
let tokenizer = TokenizerBuilder::new().build();
let tokens = tokenizer.tokenize(".");
let index = temp_index_with_documents();
let rtxn = index.read_txn()?;
let mut ctx = SearchContext::new(&index, &rtxn);
// panics with `attempt to add with overflow` before <https://github.com/meilisearch/meilisearch/issues/3785>
let located_query_terms = located_query_terms_from_tokens(&mut ctx, tokens, None)?;
assert!(located_query_terms.is_empty());
Ok(())
}
}

View File

@@ -205,18 +205,12 @@ impl<G: RankingRuleGraphTrait> VisitorState<G> {
impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
pub fn find_all_costs_to_end(&self) -> MappedInterner<QueryNode, Vec<u64>> {
let mut costs_to_end = self.query_graph.nodes.map(|_| vec![]);
let mut enqueued = SmallBitmap::new(self.query_graph.nodes.len());
let mut node_stack = VecDeque::new();
*costs_to_end.get_mut(self.query_graph.end_node) = vec![0];
for prev_node in self.query_graph.nodes.get(self.query_graph.end_node).predecessors.iter() {
node_stack.push_back(prev_node);
enqueued.insert(prev_node);
}
while let Some(cur_node) = node_stack.pop_front() {
self.traverse_breadth_first_backward(self.query_graph.end_node, |cur_node| {
if cur_node == self.query_graph.end_node {
*costs_to_end.get_mut(self.query_graph.end_node) = vec![0];
return;
}
let mut self_costs = Vec::<u64>::new();
let cur_node_edges = &self.edges_of_node.get(cur_node);
@@ -232,13 +226,7 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
self_costs.dedup();
*costs_to_end.get_mut(cur_node) = self_costs;
for prev_node in self.query_graph.nodes.get(cur_node).predecessors.iter() {
if !enqueued.contains(prev_node) {
node_stack.push_back(prev_node);
enqueued.insert(prev_node);
}
}
}
});
costs_to_end
}
@@ -247,17 +235,12 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
node_with_removed_outgoing_conditions: Interned<QueryNode>,
costs: &mut MappedInterner<QueryNode, Vec<u64>>,
) {
let mut enqueued = SmallBitmap::new(self.query_graph.nodes.len());
let mut node_stack = VecDeque::new();
enqueued.insert(node_with_removed_outgoing_conditions);
node_stack.push_back(node_with_removed_outgoing_conditions);
'main_loop: while let Some(cur_node) = node_stack.pop_front() {
// Traverse the graph backward from the target node, recomputing the cost for each of its predecessors.
// We first check that no other node is contributing the same total cost to a predecessor before removing
// the cost from the predecessor.
self.traverse_breadth_first_backward(node_with_removed_outgoing_conditions, |cur_node| {
let mut costs_to_remove = FxHashSet::default();
for c in costs.get(cur_node) {
costs_to_remove.insert(*c);
}
costs_to_remove.extend(costs.get(cur_node).iter().copied());
let cur_node_edges = &self.edges_of_node.get(cur_node);
for edge_idx in cur_node_edges.iter() {
@@ -265,22 +248,75 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
for cost in costs.get(edge.dest_node).iter() {
costs_to_remove.remove(&(*cost + edge.cost as u64));
if costs_to_remove.is_empty() {
continue 'main_loop;
return;
}
}
}
if costs_to_remove.is_empty() {
continue 'main_loop;
return;
}
let mut new_costs = BTreeSet::from_iter(costs.get(cur_node).iter().copied());
for c in costs_to_remove {
new_costs.remove(&c);
}
*costs.get_mut(cur_node) = new_costs.into_iter().collect();
});
}
/// Traverse the graph backwards from the given node such that every time
/// a node is visited, we are guaranteed that all its successors either:
/// 1. have already been visited; OR
/// 2. were not reachable from the given node
pub fn traverse_breadth_first_backward(
&self,
from: Interned<QueryNode>,
mut visit: impl FnMut(Interned<QueryNode>),
) {
let mut reachable = SmallBitmap::for_interned_values_in(&self.query_graph.nodes);
{
// go backward to get the set of all reachable nodes from the given node
// the nodes that are not reachable will be set as `visited`
let mut stack = VecDeque::new();
let mut enqueued = SmallBitmap::for_interned_values_in(&self.query_graph.nodes);
enqueued.insert(from);
stack.push_back(from);
while let Some(n) = stack.pop_front() {
if reachable.contains(n) {
continue;
}
reachable.insert(n);
for prev_node in self.query_graph.nodes.get(n).predecessors.iter() {
if !enqueued.contains(prev_node) && !reachable.contains(prev_node) {
stack.push_back(prev_node);
enqueued.insert(prev_node);
}
}
}
};
let mut unreachable_or_visited =
SmallBitmap::for_interned_values_in(&self.query_graph.nodes);
for (n, _) in self.query_graph.nodes.iter() {
if !reachable.contains(n) {
unreachable_or_visited.insert(n);
}
}
let mut enqueued = SmallBitmap::for_interned_values_in(&self.query_graph.nodes);
let mut stack = VecDeque::new();
enqueued.insert(from);
stack.push_back(from);
while let Some(cur_node) = stack.pop_front() {
if !self.query_graph.nodes.get(cur_node).successors.is_subset(&unreachable_or_visited) {
stack.push_back(cur_node);
continue;
}
unreachable_or_visited.insert(cur_node);
visit(cur_node);
for prev_node in self.query_graph.nodes.get(cur_node).predecessors.iter() {
if !enqueued.contains(prev_node) {
node_stack.push_back(prev_node);
if !enqueued.contains(prev_node) && !unreachable_or_visited.contains(prev_node) {
stack.push_back(prev_node);
enqueued.insert(prev_node);
}
}

View File

@@ -20,6 +20,8 @@ mod position;
mod proximity;
/// Implementation of the `typo` ranking rule
mod typo;
/// Implementation of the `words` ranking rule
mod words;
use std::collections::BTreeSet;
use std::hash::Hash;
@@ -33,6 +35,7 @@ pub use position::{PositionCondition, PositionGraph};
pub use proximity::{ProximityCondition, ProximityGraph};
use roaring::RoaringBitmap;
pub use typo::{TypoCondition, TypoGraph};
pub use words::{WordsCondition, WordsGraph};
use super::interner::{DedupInterner, FixedSizeInterner, Interned, MappedInterner};
use super::query_term::LocatedQueryTermSubset;

View File

@@ -50,7 +50,7 @@ impl RankingRuleGraphTrait for TypoGraph {
// 3-gram -> equivalent to 2 typos
let base_cost = if term.term_ids.len() == 1 { 0 } else { term.term_ids.len() as u32 };
for nbr_typos in 0..=term.term_subset.max_nbr_typos(ctx) {
for nbr_typos in 0..=term.term_subset.max_typo_cost(ctx) {
let mut term = term.clone();
match nbr_typos {
0 => {

View File

@@ -0,0 +1,49 @@
use roaring::RoaringBitmap;
use super::{ComputedCondition, RankingRuleGraphTrait};
use crate::search::new::interner::{DedupInterner, Interned};
use crate::search::new::query_term::LocatedQueryTermSubset;
use crate::search::new::resolve_query_graph::compute_query_term_subset_docids;
use crate::search::new::SearchContext;
use crate::Result;
#[derive(Clone, PartialEq, Eq, Hash)]
pub struct WordsCondition {
term: LocatedQueryTermSubset,
}
pub enum WordsGraph {}
impl RankingRuleGraphTrait for WordsGraph {
type Condition = WordsCondition;
fn resolve_condition(
ctx: &mut SearchContext,
condition: &Self::Condition,
universe: &RoaringBitmap,
) -> Result<ComputedCondition> {
let WordsCondition { term, .. } = condition;
// maybe compute_query_term_subset_docids should accept a universe as argument
let mut docids = compute_query_term_subset_docids(ctx, &term.term_subset)?;
docids &= universe;
Ok(ComputedCondition {
docids,
universe_len: universe.len(),
start_term_subset: None,
end_term_subset: term.clone(),
})
}
fn build_edges(
_ctx: &mut SearchContext,
conditions_interner: &mut DedupInterner<Self::Condition>,
_from: Option<&LocatedQueryTermSubset>,
to_term: &LocatedQueryTermSubset,
) -> Result<Vec<(u32, Interned<Self::Condition>)>> {
Ok(vec![(
to_term.term_ids.len() as u32,
conditions_interner.insert(WordsCondition { term: to_term.clone() }),
)])
}
}

View File

@@ -1,87 +0,0 @@
use roaring::RoaringBitmap;
use super::logger::SearchLogger;
use super::query_graph::QueryNode;
use super::resolve_query_graph::compute_query_graph_docids;
use super::small_bitmap::SmallBitmap;
use super::{QueryGraph, RankingRule, RankingRuleOutput, SearchContext};
use crate::{Result, TermsMatchingStrategy};
pub struct Words {
exhausted: bool, // TODO: remove
query_graph: Option<QueryGraph>,
nodes_to_remove: Vec<SmallBitmap<QueryNode>>,
terms_matching_strategy: TermsMatchingStrategy,
}
impl Words {
pub fn new(terms_matching_strategy: TermsMatchingStrategy) -> Self {
Self {
exhausted: true,
query_graph: None,
nodes_to_remove: vec![],
terms_matching_strategy,
}
}
}
impl<'ctx> RankingRule<'ctx, QueryGraph> for Words {
fn id(&self) -> String {
"words".to_owned()
}
fn start_iteration(
&mut self,
ctx: &mut SearchContext<'ctx>,
_logger: &mut dyn SearchLogger<QueryGraph>,
_universe: &RoaringBitmap,
parent_query_graph: &QueryGraph,
) -> Result<()> {
self.exhausted = false;
self.query_graph = Some(parent_query_graph.clone());
self.nodes_to_remove = match self.terms_matching_strategy {
TermsMatchingStrategy::Last => {
let mut ns = parent_query_graph.removal_order_for_terms_matching_strategy_last(ctx);
ns.reverse();
ns
}
TermsMatchingStrategy::All => {
vec![]
}
};
Ok(())
}
fn next_bucket(
&mut self,
ctx: &mut SearchContext<'ctx>,
logger: &mut dyn SearchLogger<QueryGraph>,
universe: &RoaringBitmap,
) -> Result<Option<RankingRuleOutput<QueryGraph>>> {
if self.exhausted {
return Ok(None);
}
let Some(query_graph) = &mut self.query_graph else { panic!() };
logger.log_internal_state(query_graph);
let this_bucket = compute_query_graph_docids(ctx, query_graph, universe)?;
let child_query_graph = query_graph.clone();
if self.nodes_to_remove.is_empty() {
self.exhausted = true;
} else {
let nodes_to_remove = self.nodes_to_remove.pop().unwrap();
query_graph.remove_nodes_keep_edges(&nodes_to_remove.iter().collect::<Vec<_>>());
}
Ok(Some(RankingRuleOutput { query: child_query_graph, candidates: this_bucket }))
}
fn end_iteration(
&mut self,
_ctx: &mut SearchContext<'ctx>,
_logger: &mut dyn SearchLogger<QueryGraph>,
) {
self.exhausted = true;
self.nodes_to_remove = vec![];
self.query_graph = None;
}
}