MeiliSearch/milli/src/search/new/bucket_sort.rs

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8.6 KiB
Rust
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use roaring::RoaringBitmap;
use super::logger::SearchLogger;
use super::ranking_rules::{BoxRankingRule, RankingRuleQueryTrait};
use super::SearchContext;
use crate::search::new::distinct::{apply_distinct_rule, distinct_single_docid, DistinctOutput};
use crate::Result;
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pub struct BucketSortOutput {
pub docids: Vec<u32>,
pub all_candidates: RoaringBitmap,
}
pub fn bucket_sort<'ctx, Q: RankingRuleQueryTrait>(
ctx: &mut SearchContext<'ctx>,
mut ranking_rules: Vec<BoxRankingRule<'ctx, Q>>,
query: &Q,
universe: &RoaringBitmap,
from: usize,
length: usize,
logger: &mut dyn SearchLogger<Q>,
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) -> Result<BucketSortOutput> {
logger.initial_query(query);
logger.ranking_rules(&ranking_rules);
logger.initial_universe(universe);
let distinct_fid = if let Some(field) = ctx.index.distinct_field(ctx.txn)? {
ctx.index.fields_ids_map(ctx.txn)?.id(field)
} else {
None
};
if universe.len() < from as u64 {
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return Ok(BucketSortOutput { docids: vec![], all_candidates: universe.clone() });
}
if ranking_rules.is_empty() {
if let Some(distinct_fid) = distinct_fid {
let mut excluded = RoaringBitmap::new();
let mut results = vec![];
for docid in universe.iter() {
if results.len() >= from + length {
break;
}
if excluded.contains(docid) {
continue;
}
distinct_single_docid(ctx.index, ctx.txn, distinct_fid, docid, &mut excluded)?;
results.push(docid);
}
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let mut all_candidates = universe - excluded;
all_candidates.extend(results.iter().copied());
return Ok(BucketSortOutput { docids: results, all_candidates });
} else {
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let docids = universe.iter().skip(from).take(length).collect();
return Ok(BucketSortOutput { docids, all_candidates: universe.clone() });
};
}
let ranking_rules_len = ranking_rules.len();
logger.start_iteration_ranking_rule(0, ranking_rules[0].as_ref(), query, universe);
ranking_rules[0].start_iteration(ctx, logger, universe, query)?;
let mut ranking_rule_universes: Vec<RoaringBitmap> =
vec![RoaringBitmap::default(); ranking_rules_len];
ranking_rule_universes[0] = universe.clone();
let mut cur_ranking_rule_index = 0;
/// Finish iterating over the current ranking rule, yielding
/// control to the parent (or finishing the search if not possible).
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/// Update the universes accordingly and inform the logger.
macro_rules! back {
() => {
assert!(ranking_rule_universes[cur_ranking_rule_index].is_empty());
logger.end_iteration_ranking_rule(
cur_ranking_rule_index,
ranking_rules[cur_ranking_rule_index].as_ref(),
&ranking_rule_universes[cur_ranking_rule_index],
);
ranking_rule_universes[cur_ranking_rule_index].clear();
ranking_rules[cur_ranking_rule_index].end_iteration(ctx, logger);
if cur_ranking_rule_index == 0 {
break;
} else {
cur_ranking_rule_index -= 1;
}
};
}
let mut all_candidates = universe.clone();
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let mut valid_docids = vec![];
let mut cur_offset = 0usize;
macro_rules! maybe_add_to_results {
($candidates:expr) => {
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maybe_add_to_results(
ctx,
from,
length,
logger,
&mut valid_docids,
&mut all_candidates,
&mut ranking_rule_universes,
&mut ranking_rules,
cur_ranking_rule_index,
&mut cur_offset,
distinct_fid,
$candidates,
)?;
};
}
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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 {
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let bucket = std::mem::take(&mut ranking_rule_universes[cur_ranking_rule_index]);
maybe_add_to_results!(bucket);
back!();
continue;
}
let Some(next_bucket) = ranking_rules[cur_ranking_rule_index].next_bucket(ctx, logger, &ranking_rule_universes[cur_ranking_rule_index])? else {
back!();
continue;
};
logger.next_bucket_ranking_rule(
cur_ranking_rule_index,
ranking_rules[cur_ranking_rule_index].as_ref(),
&ranking_rule_universes[cur_ranking_rule_index],
&next_bucket.candidates,
);
debug_assert!(
ranking_rule_universes[cur_ranking_rule_index].is_superset(&next_bucket.candidates)
);
ranking_rule_universes[cur_ranking_rule_index] -= &next_bucket.candidates;
if cur_ranking_rule_index == ranking_rules_len - 1
|| next_bucket.candidates.len() <= 1
|| cur_offset + (next_bucket.candidates.len() as usize) < from
{
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maybe_add_to_results!(next_bucket.candidates);
continue;
}
cur_ranking_rule_index += 1;
ranking_rule_universes[cur_ranking_rule_index] = next_bucket.candidates.clone();
logger.start_iteration_ranking_rule(
cur_ranking_rule_index,
ranking_rules[cur_ranking_rule_index].as_ref(),
&next_bucket.query,
&ranking_rule_universes[cur_ranking_rule_index],
);
ranking_rules[cur_ranking_rule_index].start_iteration(
ctx,
logger,
&next_bucket.candidates,
&next_bucket.query,
)?;
}
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Ok(BucketSortOutput { docids: valid_docids, all_candidates })
}
/// Add the candidates to the results. Take `distinct`, `from`, `length`, and `cur_offset`
/// into account and inform the logger.
#[allow(clippy::too_many_arguments)]
fn maybe_add_to_results<'ctx, Q: RankingRuleQueryTrait>(
ctx: &mut SearchContext<'ctx>,
from: usize,
length: usize,
logger: &mut dyn SearchLogger<Q>,
valid_docids: &mut Vec<u32>,
all_candidates: &mut RoaringBitmap,
ranking_rule_universes: &mut [RoaringBitmap],
ranking_rules: &mut [BoxRankingRule<'ctx, Q>],
cur_ranking_rule_index: usize,
cur_offset: &mut usize,
distinct_fid: Option<u16>,
candidates: RoaringBitmap,
) -> Result<()> {
// First apply the distinct rule on the candidates, reducing the universes if necessary
let candidates = if let Some(distinct_fid) = distinct_fid {
let DistinctOutput { remaining, excluded } =
apply_distinct_rule(ctx, distinct_fid, &candidates)?;
for universe in ranking_rule_universes.iter_mut() {
*universe -= &excluded;
*all_candidates -= &excluded;
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}
remaining
} else {
candidates.clone()
};
*all_candidates |= &candidates;
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// if the candidates are empty, there is nothing to do;
if candidates.is_empty() {
return Ok(());
}
// if we still haven't reached the first document to return
if *cur_offset < from {
// and if no document from this bucket can be returned
if *cur_offset + (candidates.len() as usize) < from {
// then just skip the bucket
logger.skip_bucket_ranking_rule(
cur_ranking_rule_index,
ranking_rules[cur_ranking_rule_index].as_ref(),
&candidates,
);
} else {
// otherwise, skip some of the documents and add some of the rest, in order of ids
let candidates_vec = candidates.iter().collect::<Vec<_>>();
let (skipped_candidates, candidates) = candidates_vec.split_at(from - *cur_offset);
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logger.skip_bucket_ranking_rule(
cur_ranking_rule_index,
ranking_rules[cur_ranking_rule_index].as_ref(),
&skipped_candidates.iter().collect(),
);
let candidates =
candidates.iter().take(length - valid_docids.len()).copied().collect::<Vec<_>>();
logger.add_to_results(&candidates);
valid_docids.extend(&candidates);
}
} else {
// if we have passed the offset already, add some of the documents (up to the limit)
let candidates = candidates.iter().take(length - valid_docids.len()).collect::<Vec<u32>>();
logger.add_to_results(&candidates);
valid_docids.extend(&candidates);
}
*cur_offset += candidates.len() as usize;
Ok(())
}