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Code Issues Releases Wiki Activity

Reintroduce the distinct search system

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This commit is contained in:
Clément Renault 2020-01-16 15:55:55 +01:00
parent 74fa9ee4df
commit 96139da0d2
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GPG Key ID: 92ADA4E935E71FA4
6 changed files with 275 additions and 565 deletions
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5
meilisearch-core/src/automaton/mod.rs
View File

@ -1,13 +1,8 @@
mod dfa;
mod query_enhancer;
use meilisearch_tokenizer::is_cjk;
pub use self::dfa::{build_dfa, build_prefix_dfa, build_exact_dfa};
pub use self::query_enhancer::QueryEnhancer;
pub use self::query_enhancer::QueryEnhancerBuilder;
pub const NGRAMS: usize = 3;
pub fn normalize_str(string: &str) -> String {
let mut string = string.to_lowercase();

437
meilisearch-core/src/automaton/query_enhancer.rs
View File

@ -1,437 +0,0 @@
use std::cmp::Ordering::{Equal, Greater, Less};
use std::ops::Range;
/// Return `true` if the specified range can accept the given replacements words.
/// Returns `false` if the replacements words are already present in the original query
/// or if there is fewer replacement words than the range to replace.
//
//
// ## Ignored because already present in original
//
// new york city subway
// -------- ^^^^
// / \
// [new york city]
//
//
// ## Ignored because smaller than the original
//
// new york city subway
// -------------
// \ /
// [new york]
//
//
// ## Accepted because bigger than the original
//
// NYC subway
// ---
// / \
// / \
// / \
// / \
// / \
// [new york city]
//
fn rewrite_range_with<S, T>(query: &[S], range: Range<usize>, words: &[T]) -> bool
where
S: AsRef<str>,
T: AsRef<str>,
{
if words.len() <= range.len() {
// there is fewer or equal replacement words
// than there is already in the replaced range
return false;
}
// retrieve the part to rewrite but with the length
// of the replacement part
let original = query.iter().skip(range.start).take(words.len());
// check if the original query doesn't already contain
// the replacement words
!original
.map(AsRef::as_ref)
.eq(words.iter().map(AsRef::as_ref))
}
type Origin = usize;
type RealLength = usize;
#[derive(Debug)]
struct FakeIntervalTree {
intervals: Vec<(Range<usize>, (Origin, RealLength))>,
}
impl FakeIntervalTree {
fn new(mut intervals: Vec<(Range<usize>, (Origin, RealLength))>) -> FakeIntervalTree {
intervals.sort_unstable_by_key(|(r, _)| (r.start, r.end));
FakeIntervalTree { intervals }
}
fn query(&self, point: usize) -> Option<(Range<usize>, (Origin, RealLength))> {
let element = self.intervals.binary_search_by(|(r, _)| {
if point >= r.start {
if point < r.end {
Equal
} else {
Less
}
} else {
Greater
}
});
let n = match element {
Ok(n) => n,
Err(n) => n,
};
match self.intervals.get(n) {
Some((range, value)) if range.contains(&point) => Some((range.clone(), *value)),
_otherwise => None,
}
}
}
pub struct QueryEnhancerBuilder<'a, S> {
query: &'a [S],
origins: Vec<usize>,
real_to_origin: Vec<(Range<usize>, (Origin, RealLength))>,
}
impl<S: AsRef<str>> QueryEnhancerBuilder<'_, S> {
pub fn new(query: &[S]) -> QueryEnhancerBuilder<S> {
// we initialize origins query indices based on their positions
let origins: Vec<_> = (0..=query.len()).collect();
let real_to_origin = origins.iter().map(|&o| (o..o + 1, (o, 1))).collect();
QueryEnhancerBuilder {
query,
origins,
real_to_origin,
}
}
/// Update the final real to origin query indices mapping.
///
/// `range` is the original words range that this `replacement` words replace
/// and `real` is the first real query index of these replacement words.
pub fn declare<T>(&mut self, range: Range<usize>, real: usize, replacement: &[T])
where
T: AsRef<str>,
{
// check if the range of original words
// can be rewritten with the replacement words
if rewrite_range_with(self.query, range.clone(), replacement) {
// this range can be replaced so we need to
// modify the origins accordingly
let offset = replacement.len() - range.len();
let previous_padding = self.origins[range.end - 1];
let current_offset = (self.origins[range.end] - 1) - previous_padding;
let diff = offset.saturating_sub(current_offset);
self.origins[range.end] += diff;
for r in &mut self.origins[range.end + 1..] {
*r += diff;
}
}
// we need to store the real number and origins relations
// this way it will be possible to know by how many
// we need to pad real query indices
let real_range = real..real + replacement.len().max(range.len());
let real_length = replacement.len();
self.real_to_origin.push((real_range, (range.start, real_length)));
}
pub fn build(self) -> QueryEnhancer {
let interval_tree = FakeIntervalTree::new(self.real_to_origin);
let mut table = Vec::new();
for real in 0.. {
match replacement(&self.origins, &interval_tree, real) {
Some(range) => table.push(range),
None => break,
}
}
QueryEnhancer { table }
}
}
/// Returns the query indices that represent this real query index.
fn replacement(
origins: &[usize],
real_to_origin: &FakeIntervalTree,
real: u32,
) -> Option<Range<u32>>
{
let real = real as usize;
// query the fake interval tree with the real query index
let (range, (origin, real_length)) = real_to_origin.query(real)?;
// if `real` is the end bound of the range
if (range.start + real_length - 1) == real {
let mut count = range.len();
let mut new_origin = origin;
for (i, slice) in origins[new_origin..].windows(2).enumerate() {
let len = slice[1] - slice[0];
count = count.saturating_sub(len);
if count == 0 {
new_origin = origin + i;
break;
}
}
let n = real - range.start;
let start = origins[origin];
let end = origins.get(new_origin + 1)?;
let remaining = (end - start) - n;
Some(Range {
start: (start + n) as u32,
end: (start + n + remaining) as u32,
})
} else {
// just return the origin along with
// the real position of the word
let n = real as usize - range.start;
let origin = origins[origin];
Some(Range {
start: (origin + n) as u32,
end: (origin + n + 1) as u32,
})
}
}
#[derive(Debug)]
pub struct QueryEnhancer {
table: Vec<Range<u32>>,
}
impl QueryEnhancer {
/// Returns the query indices that represent this real query index.
pub fn replacement(&self, real: u32) -> Range<u32> {
self.table[real as usize].clone()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn original_unmodified() {
let query = ["new", "york", "city", "subway"];
// 0 1 2 3
let mut builder = QueryEnhancerBuilder::new(&query);
// new york = new york city
builder.declare(0..2, 4, &["new", "york", "city"]);
// ^ 4 5 6
let enhancer = builder.build();
assert_eq!(enhancer.replacement(0), 0..1); // new
assert_eq!(enhancer.replacement(1), 1..2); // york
assert_eq!(enhancer.replacement(2), 2..3); // city
assert_eq!(enhancer.replacement(3), 3..4); // subway
assert_eq!(enhancer.replacement(4), 0..1); // new
assert_eq!(enhancer.replacement(5), 1..2); // york
assert_eq!(enhancer.replacement(6), 2..3); // city
}
#[test]
fn simple_growing() {
let query = ["new", "york", "subway"];
// 0 1 2
let mut builder = QueryEnhancerBuilder::new(&query);
// new york = new york city
builder.declare(0..2, 3, &["new", "york", "city"]);
// ^ 3 4 5
let enhancer = builder.build();
assert_eq!(enhancer.replacement(0), 0..1); // new
assert_eq!(enhancer.replacement(1), 1..3); // york
assert_eq!(enhancer.replacement(2), 3..4); // subway
assert_eq!(enhancer.replacement(3), 0..1); // new
assert_eq!(enhancer.replacement(4), 1..2); // york
assert_eq!(enhancer.replacement(5), 2..3); // city
}
#[test]
fn same_place_growings() {
let query = ["NY", "subway"];
// 0 1
let mut builder = QueryEnhancerBuilder::new(&query);
// NY = new york
builder.declare(0..1, 2, &["new", "york"]);
// ^ 2 3
// NY = new york city
builder.declare(0..1, 4, &["new", "york", "city"]);
// ^ 4 5 6
// NY = NYC
builder.declare(0..1, 7, &["NYC"]);
// ^ 7
// NY = new york city
builder.declare(0..1, 8, &["new", "york", "city"]);
// ^ 8 9 10
// subway = underground train
builder.declare(1..2, 11, &["underground", "train"]);
// ^ 11 12
let enhancer = builder.build();
assert_eq!(enhancer.replacement(0), 0..3); // NY
assert_eq!(enhancer.replacement(1), 3..5); // subway
assert_eq!(enhancer.replacement(2), 0..1); // new
assert_eq!(enhancer.replacement(3), 1..3); // york
assert_eq!(enhancer.replacement(4), 0..1); // new
assert_eq!(enhancer.replacement(5), 1..2); // york
assert_eq!(enhancer.replacement(6), 2..3); // city
assert_eq!(enhancer.replacement(7), 0..3); // NYC
assert_eq!(enhancer.replacement(8), 0..1); // new
assert_eq!(enhancer.replacement(9), 1..2); // york
assert_eq!(enhancer.replacement(10), 2..3); // city
assert_eq!(enhancer.replacement(11), 3..4); // underground
assert_eq!(enhancer.replacement(12), 4..5); // train
}
#[test]
fn bigger_growing() {
let query = ["NYC", "subway"];
// 0 1
let mut builder = QueryEnhancerBuilder::new(&query);
// NYC = new york city
builder.declare(0..1, 2, &["new", "york", "city"]);
// ^ 2 3 4
let enhancer = builder.build();
assert_eq!(enhancer.replacement(0), 0..3); // NYC
assert_eq!(enhancer.replacement(1), 3..4); // subway
assert_eq!(enhancer.replacement(2), 0..1); // new
assert_eq!(enhancer.replacement(3), 1..2); // york
assert_eq!(enhancer.replacement(4), 2..3); // city
}
#[test]
fn middle_query_growing() {
let query = ["great", "awesome", "NYC", "subway"];
// 0 1 2 3
let mut builder = QueryEnhancerBuilder::new(&query);
// NYC = new york city
builder.declare(2..3, 4, &["new", "york", "city"]);
// ^ 4 5 6
let enhancer = builder.build();
assert_eq!(enhancer.replacement(0), 0..1); // great
assert_eq!(enhancer.replacement(1), 1..2); // awesome
assert_eq!(enhancer.replacement(2), 2..5); // NYC
assert_eq!(enhancer.replacement(3), 5..6); // subway
assert_eq!(enhancer.replacement(4), 2..3); // new
assert_eq!(enhancer.replacement(5), 3..4); // york
assert_eq!(enhancer.replacement(6), 4..5); // city
}
#[test]
fn end_query_growing() {
let query = ["NYC", "subway"];
// 0 1
let mut builder = QueryEnhancerBuilder::new(&query);
// NYC = new york city
builder.declare(1..2, 2, &["underground", "train"]);
// ^ 2 3
let enhancer = builder.build();
assert_eq!(enhancer.replacement(0), 0..1); // NYC
assert_eq!(enhancer.replacement(1), 1..3); // subway
assert_eq!(enhancer.replacement(2), 1..2); // underground
assert_eq!(enhancer.replacement(3), 2..3); // train
}
#[test]
fn multiple_growings() {
let query = ["great", "awesome", "NYC", "subway"];
// 0 1 2 3
let mut builder = QueryEnhancerBuilder::new(&query);
// NYC = new york city
builder.declare(2..3, 4, &["new", "york", "city"]);
// ^ 4 5 6
// subway = underground train
builder.declare(3..4, 7, &["underground", "train"]);
// ^ 7 8
let enhancer = builder.build();
assert_eq!(enhancer.replacement(0), 0..1); // great
assert_eq!(enhancer.replacement(1), 1..2); // awesome
assert_eq!(enhancer.replacement(2), 2..5); // NYC
assert_eq!(enhancer.replacement(3), 5..7); // subway
assert_eq!(enhancer.replacement(4), 2..3); // new
assert_eq!(enhancer.replacement(5), 3..4); // york
assert_eq!(enhancer.replacement(6), 4..5); // city
assert_eq!(enhancer.replacement(7), 5..6); // underground
assert_eq!(enhancer.replacement(8), 6..7); // train
}
#[test]
fn multiple_probable_growings() {
let query = ["great", "awesome", "NYC", "subway"];
// 0 1 2 3
let mut builder = QueryEnhancerBuilder::new(&query);
// NYC = new york city
builder.declare(2..3, 4, &["new", "york", "city"]);
// ^ 4 5 6
// subway = underground train
builder.declare(3..4, 7, &["underground", "train"]);
// ^ 7 8
// great awesome = good
builder.declare(0..2, 9, &["good"]);
// ^ 9
// awesome NYC = NY
builder.declare(1..3, 10, &["NY"]);
// ^^ 10
// NYC subway = metro
builder.declare(2..4, 11, &["metro"]);
// ^^ 11
let enhancer = builder.build();
assert_eq!(enhancer.replacement(0), 0..1); // great
assert_eq!(enhancer.replacement(1), 1..2); // awesome
assert_eq!(enhancer.replacement(2), 2..5); // NYC
assert_eq!(enhancer.replacement(3), 5..7); // subway
assert_eq!(enhancer.replacement(4), 2..3); // new
assert_eq!(enhancer.replacement(5), 3..4); // york
assert_eq!(enhancer.replacement(6), 4..5); // city
assert_eq!(enhancer.replacement(7), 5..6); // underground
assert_eq!(enhancer.replacement(8), 6..7); // train
assert_eq!(enhancer.replacement(9), 0..2); // good
assert_eq!(enhancer.replacement(10), 1..5); // NY
assert_eq!(enhancer.replacement(11), 2..5); // metro
}
}

392
meilisearch-core/src/bucket_sort.rs
View File

@ -1,29 +1,19 @@
use std::borrow::Cow;
use std::collections::HashMap;
use std::collections::HashSet;
use std::convert::TryFrom;
use std::mem;
use std::ops::Deref;
use std::ops::Range;
use std::rc::Rc;
use std::sync::atomic::{AtomicUsize, Ordering};
use std::time::{Duration, Instant};
use std::{cmp, fmt};
use std::time::Instant;
use std::fmt;
use compact_arena::{SmallArena, Idx32, mk_arena};
use fst::{IntoStreamer, Streamer};
use levenshtein_automata::DFA;
use log::debug;
use meilisearch_tokenizer::{is_cjk, split_query_string};
use meilisearch_types::DocIndex;
use sdset::{Set, SetBuf, exponential_search};
use slice_group_by::{GroupBy, GroupByMut};
use crate::automaton::NGRAMS;
use crate::automaton::{build_dfa, build_prefix_dfa, build_exact_dfa};
use crate::automaton::normalize_str;
use crate::automaton::{QueryEnhancer, QueryEnhancerBuilder};
use crate::criterion::{Criteria, Context, ContextMut};
use crate::distinct_map::{BufferedDistinctMap, DistinctMap};
use crate::raw_document::RawDocument;
@ -32,7 +22,6 @@ use crate::{store, Document, DocumentId, MResult};
use crate::query_tree::{create_query_tree, traverse_query_tree};
use crate::query_tree::{Operation, QueryResult, QueryKind, QueryId, PostingsKey};
use crate::query_tree::Context as QTContext;
use crate::store::Postings;
pub fn bucket_sort<'c, FI>(
reader: &heed::RoTxn<MainT>,
@ -87,8 +76,8 @@ where
};
let (operation, mapping) = create_query_tree(reader, &context, query).unwrap();
println!("{:?}", operation);
println!("{:?}", mapping);
debug!("operation:\n{:?}", operation);
debug!("mapping:\n{:?}", mapping);
fn recurs_operation<'o>(map: &mut HashMap<QueryId, &'o QueryKind>, operation: &'o Operation) {
match operation {
@ -106,12 +95,278 @@ where
println!("number of postings {:?}", queries.len());
let before = Instant::now();
mk_arena!(arena);
let mut bare_matches = cleanup_bare_matches(&mut arena, &docids, queries);
println!("matches cleaned in {:.02?}", before.elapsed());
let before_bucket_sort = Instant::now();
let before_raw_documents_building = Instant::now();
let mut raw_documents = Vec::new();
for bare_matches in bare_matches.linear_group_by_key_mut(|sm| sm.document_id) {
let raw_document = RawDocument::new(bare_matches, &mut arena, searchable_attrs.as_ref());
raw_documents.push(raw_document);
}
debug!("creating {} candidates documents took {:.02?}",
raw_documents.len(),
before_raw_documents_building.elapsed(),
);
let before_criterion_loop = Instant::now();
let proximity_count = AtomicUsize::new(0);
let mut groups = vec![raw_documents.as_mut_slice()];
'criteria: for criterion in criteria.as_ref() {
let tmp_groups = mem::replace(&mut groups, Vec::new());
let mut documents_seen = 0;
for mut group in tmp_groups {
let before_criterion_preparation = Instant::now();
let ctx = ContextMut {
reader,
postings_lists: &mut arena,
query_mapping: &mapping,
documents_fields_counts_store,
};
criterion.prepare(ctx, &mut group)?;
debug!("{:?} preparation took {:.02?}", criterion.name(), before_criterion_preparation.elapsed());
let ctx = Context {
postings_lists: &arena,
query_mapping: &mapping,
};
let before_criterion_sort = Instant::now();
group.sort_unstable_by(|a, b| criterion.evaluate(&ctx, a, b));
debug!("{:?} evaluation took {:.02?}", criterion.name(), before_criterion_sort.elapsed());
for group in group.binary_group_by_mut(|a, b| criterion.eq(&ctx, a, b)) {
debug!("{:?} produced a group of size {}", criterion.name(), group.len());
documents_seen += group.len();
groups.push(group);
// we have sort enough documents if the last document sorted is after
// the end of the requested range, we can continue to the next criterion
if documents_seen >= range.end {
continue 'criteria;
}
}
}
}
debug!("criterion loop took {:.02?}", before_criterion_loop.elapsed());
debug!("proximity evaluation called {} times", proximity_count.load(Ordering::Relaxed));
let iter = raw_documents.into_iter().skip(range.start).take(range.len());
let iter = iter.map(|rd| Document::from_raw(rd, &queries_kinds, &arena, searchable_attrs.as_ref()));
let documents = iter.collect();
debug!("bucket sort took {:.02?}", before_bucket_sort.elapsed());
Ok(documents)
}
pub fn bucket_sort_with_distinct<'c, FI, FD>(
reader: &heed::RoTxn<MainT>,
query: &str,
range: Range<usize>,
filter: Option<FI>,
distinct: FD,
distinct_size: usize,
criteria: Criteria<'c>,
searchable_attrs: Option<ReorderedAttrs>,
main_store: store::Main,
postings_lists_store: store::PostingsLists,
documents_fields_counts_store: store::DocumentsFieldsCounts,
synonyms_store: store::Synonyms,
_prefix_documents_cache_store: store::PrefixDocumentsCache,
prefix_postings_lists_cache_store: store::PrefixPostingsListsCache,
) -> MResult<Vec<Document>>
where
FI: Fn(DocumentId) -> bool,
FD: Fn(DocumentId) -> Option<u64>,
{
let words_set = match unsafe { main_store.static_words_fst(reader)? } {
Some(words) => words,
None => return Ok(Vec::new()),
};
let context = QTContext {
words_set,
synonyms: synonyms_store,
postings_lists: postings_lists_store,
prefix_postings_lists: prefix_postings_lists_cache_store,
};
let (operation, mapping) = create_query_tree(reader, &context, query).unwrap();
debug!("operation:\n{:?}", operation);
debug!("mapping:\n{:?}", mapping);
fn recurs_operation<'o>(map: &mut HashMap<QueryId, &'o QueryKind>, operation: &'o Operation) {
match operation {
Operation::And(ops) => ops.iter().for_each(|op| recurs_operation(map, op)),
Operation::Or(ops) => ops.iter().for_each(|op| recurs_operation(map, op)),
Operation::Query(query) => { map.insert(query.id, &query.kind); },
}
}
let mut queries_kinds = HashMap::new();
recurs_operation(&mut queries_kinds, &operation);
let QueryResult { docids, queries } = traverse_query_tree(reader, &context, &operation).unwrap();
println!("found {} documents", docids.len());
println!("number of postings {:?}", queries.len());
let before = Instant::now();
mk_arena!(arena);
let mut bare_matches = cleanup_bare_matches(&mut arena, &docids, queries);
println!("matches cleaned in {:.02?}", before.elapsed());
let before_raw_documents_building = Instant::now();
let mut raw_documents = Vec::new();
for bare_matches in bare_matches.linear_group_by_key_mut(|sm| sm.document_id) {
let raw_document = RawDocument::new(bare_matches, &mut arena, searchable_attrs.as_ref());
raw_documents.push(raw_document);
}
debug!("creating {} candidates documents took {:.02?}",
raw_documents.len(),
before_raw_documents_building.elapsed(),
);
let mut groups = vec![raw_documents.as_mut_slice()];
let mut key_cache = HashMap::new();
let mut filter_map = HashMap::new();
// these two variables informs on the current distinct map and
// on the raw offset of the start of the group where the
// range.start bound is located according to the distinct function
let mut distinct_map = DistinctMap::new(distinct_size);
let mut distinct_raw_offset = 0;
'criteria: for criterion in criteria.as_ref() {
let tmp_groups = mem::replace(&mut groups, Vec::new());
let mut buf_distinct = BufferedDistinctMap::new(&mut distinct_map);
let mut documents_seen = 0;
for mut group in tmp_groups {
// if this group does not overlap with the requested range,
// push it without sorting and splitting it
if documents_seen + group.len() < distinct_raw_offset {
documents_seen += group.len();
groups.push(group);
continue;
}
let ctx = ContextMut {
reader,
postings_lists: &mut arena,
query_mapping: &mapping,
documents_fields_counts_store,
};
let before_criterion_preparation = Instant::now();
criterion.prepare(ctx, &mut group)?;
debug!("{:?} preparation took {:.02?}", criterion.name(), before_criterion_preparation.elapsed());
let ctx = Context {
postings_lists: &arena,
query_mapping: &mapping,
};
let before_criterion_sort = Instant::now();
group.sort_unstable_by(|a, b| criterion.evaluate(&ctx, a, b));
debug!("{:?} evaluation took {:.02?}", criterion.name(), before_criterion_sort.elapsed());
for group in group.binary_group_by_mut(|a, b| criterion.eq(&ctx, a, b)) {
// we must compute the real distinguished len of this sub-group
for document in group.iter() {
let filter_accepted = match &filter {
Some(filter) => {
let entry = filter_map.entry(document.id);
*entry.or_insert_with(|| (filter)(document.id))
}
None => true,
};
if filter_accepted {
let entry = key_cache.entry(document.id);
let key = entry.or_insert_with(|| (distinct)(document.id).map(Rc::new));
match key.clone() {
Some(key) => buf_distinct.register(key),
None => buf_distinct.register_without_key(),
};
}
// the requested range end is reached: stop computing distinct
if buf_distinct.len() >= range.end {
break;
}
}
documents_seen += group.len();
groups.push(group);
// if this sub-group does not overlap with the requested range
// we must update the distinct map and its start index
if buf_distinct.len() < range.start {
buf_distinct.transfert_to_internal();
distinct_raw_offset = documents_seen;
}
// we have sort enough documents if the last document sorted is after
// the end of the requested range, we can continue to the next criterion
if buf_distinct.len() >= range.end {
continue 'criteria;
}
}
}
}
// once we classified the documents related to the current
// automatons we save that as the next valid result
let mut seen = BufferedDistinctMap::new(&mut distinct_map);
let mut documents = Vec::with_capacity(range.len());
for raw_document in raw_documents.into_iter().skip(distinct_raw_offset) {
let filter_accepted = match &filter {
Some(_) => filter_map.remove(&raw_document.id).unwrap(),
None => true,
};
if filter_accepted {
let key = key_cache.remove(&raw_document.id).unwrap();
let distinct_accepted = match key {
Some(key) => seen.register(key),
None => seen.register_without_key(),
};
if distinct_accepted && seen.len() > range.start {
documents.push(Document::from_raw(raw_document, &queries_kinds, &arena, searchable_attrs.as_ref()));
if documents.len() == range.len() {
break;
}
}
}
}
Ok(documents)
}
fn cleanup_bare_matches<'tag, 'txn>(
arena: &mut SmallArena<'tag, PostingsListView<'txn>>,
docids: &Set<DocumentId>,
queries: HashMap<PostingsKey, Cow<'txn, Set<DocIndex>>>,
) -> Vec<BareMatch<'tag>>
{
let docidslen = docids.len() as f32;
let mut bare_matches = Vec::new();
mk_arena!(arena);
for (PostingsKey{ query, input, distance, is_exact }, matches) in queries {
for (PostingsKey { query, input, distance, is_exact }, matches) in queries {
let postings_list_view = PostingsListView::original(Rc::from(input), Rc::new(matches));
let pllen = postings_list_view.len() as f32;
@ -168,112 +423,11 @@ where
}
}
println!("matches cleaned in {:.02?}", before.elapsed());
let before_bucket_sort = Instant::now();
let before_raw_documents_presort = Instant::now();
bare_matches.sort_unstable_by_key(|sm| sm.document_id);
debug!("sort by documents ids took {:.02?}", before_raw_documents_presort.elapsed());
let before_raw_documents_building = Instant::now();
let mut raw_documents = Vec::new();
for bare_matches in bare_matches.linear_group_by_key_mut(|sm| sm.document_id) {
let raw_document = RawDocument::new(bare_matches, &mut arena, searchable_attrs.as_ref());
raw_documents.push(raw_document);
}
debug!("creating {} candidates documents took {:.02?}",
raw_documents.len(),
before_raw_documents_building.elapsed(),
);
let before_criterion_loop = Instant::now();
let proximity_count = AtomicUsize::new(0);
let mut groups = vec![raw_documents.as_mut_slice()];
'criteria: for criterion in criteria.as_ref() {
let tmp_groups = mem::replace(&mut groups, Vec::new());
let mut documents_seen = 0;
for mut group in tmp_groups {
let before_criterion_preparation = Instant::now();
let ctx = ContextMut {
reader,
postings_lists: &mut arena,
query_mapping: &mapping,
documents_fields_counts_store,
};
criterion.prepare(ctx, &mut group)?;
debug!("{:?} preparation took {:.02?}", criterion.name(), before_criterion_preparation.elapsed());
let ctx = Context {
postings_lists: &arena,
query_mapping: &mapping,
};
let must_count = criterion.name() == "proximity";
let before_criterion_sort = Instant::now();
group.sort_unstable_by(|a, b| {
if must_count {
proximity_count.fetch_add(1, Ordering::SeqCst);
}
criterion.evaluate(&ctx, a, b)
});
debug!("{:?} evaluation took {:.02?}", criterion.name(), before_criterion_sort.elapsed());
for group in group.binary_group_by_mut(|a, b| criterion.eq(&ctx, a, b)) {
debug!("{:?} produced a group of size {}", criterion.name(), group.len());
documents_seen += group.len();
groups.push(group);
// we have sort enough documents if the last document sorted is after
// the end of the requested range, we can continue to the next criterion
if documents_seen >= range.end {
continue 'criteria;
}
}
}
}
debug!("criterion loop took {:.02?}", before_criterion_loop.elapsed());
debug!("proximity evaluation called {} times", proximity_count.load(Ordering::Relaxed));
let iter = raw_documents.into_iter().skip(range.start).take(range.len());
let iter = iter.map(|rd| Document::from_raw(rd, &queries_kinds, &arena, searchable_attrs.as_ref()));
let documents = iter.collect();
debug!("bucket sort took {:.02?}", before_bucket_sort.elapsed());
Ok(documents)
}
pub fn bucket_sort_with_distinct<'c, FI, FD>(
reader: &heed::RoTxn<MainT>,
query: &str,
range: Range<usize>,
filter: Option<FI>,
distinct: FD,
distinct_size: usize,
criteria: Criteria<'c>,
searchable_attrs: Option<ReorderedAttrs>,
main_store: store::Main,
postings_lists_store: store::PostingsLists,
documents_fields_counts_store: store::DocumentsFieldsCounts,
synonyms_store: store::Synonyms,
prefix_documents_cache_store: store::PrefixDocumentsCache,
prefix_postings_lists_cache_store: store::PrefixPostingsListsCache,
) -> MResult<Vec<Document>>
where
FI: Fn(DocumentId) -> bool,
FD: Fn(DocumentId) -> Option<u64>,
{
unimplemented!()
bare_matches
}
pub struct BareMatch<'tag> {

1
meilisearch-core/src/criterion/mod.rs
View File

@ -6,7 +6,6 @@ use compact_arena::SmallArena;
use sdset::SetBuf;
use slice_group_by::GroupBy;
use crate::automaton::QueryEnhancer;
use crate::bucket_sort::{SimpleMatch, PostingsListView};
use crate::database::MainT;
use crate::query_tree::QueryId;

3
meilisearch-core/src/query_tree.rs
View File

@ -9,7 +9,6 @@ use fst::{IntoStreamer, Streamer};
use itertools::{EitherOrBoth, merge_join_by};
use meilisearch_tokenizer::split_query_string;
use sdset::{Set, SetBuf, SetOperation};
use slice_group_by::StrGroupBy;
use crate::database::MainT;
use crate::{store, DocumentId, DocIndex, MResult};
@ -387,7 +386,7 @@ pub fn traverse_query_tree<'o, 'txn>(
{
let before = Instant::now();
let Query { id, prefix, kind } = query;
let Query { prefix, kind, .. } = query;
let docids: Cow<Set<_>> = match kind {
QueryKind::Tolerant(word) => {
if *prefix && word.len() <= 2 {

2
meilisearch-core/src/update/documents_addition.rs
View File

@ -429,7 +429,7 @@ pub fn write_documents_addition_index(
main_store: store::Main,
postings_lists_store: store::PostingsLists,
docs_words_store: store::DocsWords,
prefix_documents_cache_store: store::PrefixDocumentsCache,
_prefix_documents_cache_store: store::PrefixDocumentsCache,
ranked_map: &RankedMap,
number_of_inserted_documents: usize,
indexer: RawIndexer,