MeiliSearch/milli/src/search/criteria/exactness.rs

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use std::convert::TryFrom;
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use std::mem::take;
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use std::ops::BitOr;
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use itertools::Itertools;
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use log::debug;
use roaring::RoaringBitmap;
use crate::search::criteria::{
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resolve_query_tree, Context, Criterion, CriterionParameters, CriterionResult,
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};
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use crate::search::query_tree::{Operation, PrimitiveQueryPart};
use crate::{absolute_from_relative_position, FieldId, Result};
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pub struct Exactness<'t> {
ctx: &'t dyn Context<'t>,
query_tree: Option<Operation>,
state: Option<State>,
bucket_candidates: RoaringBitmap,
parent: Box<dyn Criterion + 't>,
query: Vec<ExactQueryPart>,
}
impl<'t> Exactness<'t> {
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pub fn new(
ctx: &'t dyn Context<'t>,
parent: Box<dyn Criterion + 't>,
primitive_query: &[PrimitiveQueryPart],
) -> heed::Result<Self> {
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let mut query: Vec<_> = Vec::with_capacity(primitive_query.len());
for part in primitive_query {
query.push(ExactQueryPart::from_primitive_query_part(ctx, part)?);
}
Ok(Exactness {
ctx,
query_tree: None,
state: None,
bucket_candidates: RoaringBitmap::new(),
parent,
query,
})
}
}
impl<'t> Criterion for Exactness<'t> {
#[logging_timer::time("Exactness::{}")]
fn next(&mut self, params: &mut CriterionParameters) -> Result<Option<CriterionResult>> {
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// remove excluded candidates when next is called, instead of doing it in the loop.
if let Some(state) = self.state.as_mut() {
state.difference_with(params.excluded_candidates);
}
loop {
debug!("Exactness at state {:?}", self.state);
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match self.state.as_mut() {
Some(state) if state.is_empty() => {
// reset state
self.state = None;
self.query_tree = None;
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}
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Some(state) => {
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let (candidates, state) = resolve_state(self.ctx, take(state), &self.query)?;
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self.state = state;
return Ok(Some(CriterionResult {
query_tree: self.query_tree.clone(),
candidates: Some(candidates),
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filtered_candidates: None,
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bucket_candidates: Some(take(&mut self.bucket_candidates)),
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}));
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}
None => match self.parent.next(params)? {
Some(CriterionResult {
query_tree: Some(query_tree),
candidates,
filtered_candidates,
bucket_candidates,
}) => {
let mut candidates = match candidates {
Some(candidates) => candidates,
None => {
resolve_query_tree(self.ctx, &query_tree, params.wdcache)?
- params.excluded_candidates
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}
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};
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if let Some(filtered_candidates) = filtered_candidates {
candidates &= filtered_candidates;
}
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match bucket_candidates {
Some(bucket_candidates) => self.bucket_candidates |= bucket_candidates,
None => self.bucket_candidates |= &candidates,
}
self.state = Some(State::new(candidates));
self.query_tree = Some(query_tree);
}
Some(CriterionResult {
query_tree: None,
candidates,
filtered_candidates,
bucket_candidates,
}) => {
return Ok(Some(CriterionResult {
query_tree: None,
candidates,
filtered_candidates,
bucket_candidates,
}));
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}
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None => return Ok(None),
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},
}
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}
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}
}
#[derive(Debug)]
enum State {
/// Extract the documents that have an attribute that contains exactly the query.
ExactAttribute(RoaringBitmap),
/// Extract the documents that have an attribute that starts with exactly the query.
AttributeStartsWith(RoaringBitmap),
/// Rank the remaining documents by the number of exact words contained.
ExactWords(RoaringBitmap),
Remainings(Vec<RoaringBitmap>),
}
impl State {
fn new(candidates: RoaringBitmap) -> Self {
Self::ExactAttribute(candidates)
}
fn difference_with(&mut self, lhs: &RoaringBitmap) {
match self {
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Self::ExactAttribute(candidates)
| Self::AttributeStartsWith(candidates)
| Self::ExactWords(candidates) => *candidates -= lhs,
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Self::Remainings(candidates_array) => {
candidates_array.iter_mut().for_each(|candidates| *candidates -= lhs);
candidates_array.retain(|candidates| !candidates.is_empty());
}
}
}
fn is_empty(&self) -> bool {
match self {
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Self::ExactAttribute(candidates)
| Self::AttributeStartsWith(candidates)
| Self::ExactWords(candidates) => candidates.is_empty(),
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Self::Remainings(candidates_array) => {
candidates_array.iter().all(RoaringBitmap::is_empty)
}
}
}
}
impl Default for State {
fn default() -> Self {
Self::Remainings(vec![])
}
}
#[logging_timer::time("Exactness::{}")]
fn resolve_state(
ctx: &dyn Context,
state: State,
query: &[ExactQueryPart],
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) -> Result<(RoaringBitmap, Option<State>)> {
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use State::*;
match state {
ExactAttribute(mut allowed_candidates) => {
let mut candidates = RoaringBitmap::new();
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if let Ok(query_len) = u8::try_from(query.len()) {
let attributes_ids = ctx.searchable_fields_ids()?;
for id in attributes_ids {
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if let Some(attribute_allowed_docids) =
ctx.field_id_word_count_docids(id, query_len)?
{
let mut attribute_candidates_array =
attribute_start_with_docids(ctx, id, query)?;
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attribute_candidates_array.push(attribute_allowed_docids);
candidates |= intersection_of(attribute_candidates_array.iter().collect());
}
}
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// only keep allowed candidates
candidates &= &allowed_candidates;
// remove current candidates from allowed candidates
allowed_candidates -= &candidates;
}
Ok((candidates, Some(AttributeStartsWith(allowed_candidates))))
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}
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AttributeStartsWith(mut allowed_candidates) => {
let mut candidates = RoaringBitmap::new();
let attributes_ids = ctx.searchable_fields_ids()?;
for id in attributes_ids {
let attribute_candidates_array = attribute_start_with_docids(ctx, id, query)?;
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candidates |= intersection_of(attribute_candidates_array.iter().collect());
}
// only keep allowed candidates
candidates &= &allowed_candidates;
// remove current candidates from allowed candidates
allowed_candidates -= &candidates;
Ok((candidates, Some(ExactWords(allowed_candidates))))
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}
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ExactWords(mut allowed_candidates) => {
let number_of_part = query.len();
let mut parts_candidates_array = Vec::with_capacity(number_of_part);
for part in query {
let mut candidates = RoaringBitmap::new();
use ExactQueryPart::*;
match part {
Synonyms(synonyms) => {
for synonym in synonyms {
if let Some(synonym_candidates) = ctx.word_docids(synonym)? {
candidates |= synonym_candidates;
}
}
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}
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// compute intersection on pair of words with a proximity of 0.
Phrase(phrase) => {
// TODO: use resolve_phrase here
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let mut bitmaps = Vec::with_capacity(phrase.len().saturating_sub(1));
for words in phrase.windows(2) {
if let [left, right] = words {
match ctx.word_pair_proximity_docids(left, right, 0)? {
Some(docids) => bitmaps.push(docids),
None => {
bitmaps.clear();
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break;
}
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}
}
}
candidates |= intersection_of(bitmaps.iter().collect());
}
}
parts_candidates_array.push(candidates);
}
let mut candidates_array = Vec::new();
// compute documents that contain all exact words.
let mut all_exact_candidates = intersection_of(parts_candidates_array.iter().collect());
all_exact_candidates &= &allowed_candidates;
allowed_candidates -= &all_exact_candidates;
// push the result of combinations of exact words grouped by the number of exact words contained by documents.
for c_count in (1..number_of_part).rev() {
let mut combinations_candidates = parts_candidates_array
.iter()
// create all `c_count` combinations of exact words
.combinations(c_count)
// intersect each word candidates in combinations
.map(intersection_of)
// union combinations of `c_count` exact words
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.fold(RoaringBitmap::new(), RoaringBitmap::bitor);
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// only keep allowed candidates
combinations_candidates &= &allowed_candidates;
// remove current candidates from allowed candidates
allowed_candidates -= &combinations_candidates;
candidates_array.push(combinations_candidates);
}
// push remainings allowed candidates as the worst valid candidates
candidates_array.push(allowed_candidates);
// reverse the array to be able to pop candidates from the best to the worst.
candidates_array.reverse();
Ok((all_exact_candidates, Some(Remainings(candidates_array))))
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}
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// pop remainings candidates until the emptiness
Remainings(mut candidates_array) => {
let candidates = candidates_array.pop().unwrap_or_default();
if !candidates_array.is_empty() {
Ok((candidates, Some(Remainings(candidates_array))))
} else {
Ok((candidates, None))
}
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}
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}
}
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fn attribute_start_with_docids(
ctx: &dyn Context,
attribute_id: FieldId,
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query: &[ExactQueryPart],
) -> heed::Result<Vec<RoaringBitmap>> {
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let mut attribute_candidates_array = Vec::new();
// start from attribute first position
let mut pos = absolute_from_relative_position(attribute_id, 0);
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for part in query {
use ExactQueryPart::*;
match part {
Synonyms(synonyms) => {
let mut synonyms_candidates = RoaringBitmap::new();
for word in synonyms {
let wc = ctx.word_position_docids(word, pos)?;
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if let Some(word_candidates) = wc {
synonyms_candidates |= word_candidates;
}
}
attribute_candidates_array.push(synonyms_candidates);
pos += 1;
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}
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Phrase(phrase) => {
for word in phrase {
let wc = ctx.word_position_docids(word, pos)?;
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if let Some(word_candidates) = wc {
attribute_candidates_array.push(word_candidates);
}
pos += 1;
}
}
}
}
Ok(attribute_candidates_array)
}
fn intersection_of(mut rbs: Vec<&RoaringBitmap>) -> RoaringBitmap {
rbs.sort_unstable_by_key(|rb| rb.len());
let mut iter = rbs.into_iter();
match iter.next() {
Some(first) => iter.fold(first.clone(), |acc, rb| acc & rb),
None => RoaringBitmap::new(),
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}
}
#[derive(Debug, Clone)]
pub enum ExactQueryPart {
Phrase(Vec<String>),
Synonyms(Vec<String>),
}
impl ExactQueryPart {
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fn from_primitive_query_part(
ctx: &dyn Context,
part: &PrimitiveQueryPart,
) -> heed::Result<Self> {
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let part = match part {
PrimitiveQueryPart::Word(word, _) => {
match ctx.synonyms(word)? {
Some(synonyms) => {
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let mut synonyms: Vec<_> = synonyms
.into_iter()
.filter_map(|mut array| {
// keep 1 word synonyms only.
match array.pop() {
Some(word) if array.is_empty() => Some(word),
_ => None,
}
})
.collect();
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synonyms.push(word.clone());
ExactQueryPart::Synonyms(synonyms)
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}
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None => ExactQueryPart::Synonyms(vec![word.clone()]),
}
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}
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PrimitiveQueryPart::Phrase(phrase) => ExactQueryPart::Phrase(phrase.clone()),
};
Ok(part)
}
}