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Code Issues Releases Wiki Activity

Fix code visibility issue + unimplemented detail in proximity rule

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This commit is contained in:
Loïc Lecrenier 2023-03-05 20:07:37 +01:00
parent 23931f8a4f
commit c4979a2fda
9 changed files with 99 additions and 70 deletions
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8
milli/src/search/new/db_cache.rs
View File

@ -121,18 +121,18 @@ impl<'transaction> DatabaseCache<'transaction> {
&mut self,
index: &Index,
txn: &'transaction RoTxn,
word1: &str,
prefix2: &str,
left_prefix: &str,
right: &str,
proximity: u8,
) -> Result<Option<&'transaction [u8]>> {
let key = (proximity, prefix2.to_owned(), word1.to_owned());
let key = (proximity, left_prefix.to_owned(), right.to_owned());
match self.prefix_word_pair_proximity_docids.entry(key) {
Entry::Occupied(bitmap_ptr) => Ok(*bitmap_ptr.get()),
Entry::Vacant(entry) => {
let bitmap_ptr = index
.prefix_word_pair_proximity_docids
.remap_data_type::<ByteSlice>()
.get(txn, &(proximity, prefix2, word1))?;
.get(txn, &(proximity, left_prefix, right))?;
entry.insert(bitmap_ptr);
Ok(bitmap_ptr)
}

10
milli/src/search/new/logger/detailed.rs
View File

@ -194,7 +194,7 @@ impl DetailedSearchLogger {
for event in self.events.iter() {
match event {
SearchEvents::RankingRuleStartIteration { ranking_rule_idx, time, .. } => {
let elapsed = time.duration_since(prev_time);
let _elapsed = time.duration_since(prev_time);
prev_time = *time;
let parent_activated_id = activated_id(&timestamp);
timestamp.push(0);
@ -216,7 +216,7 @@ impl DetailedSearchLogger {
}}").unwrap();
}
SearchEvents::RankingRuleNextBucket { ranking_rule_idx, time, universe, candidates } => {
let elapsed = time.duration_since(prev_time);
let _elapsed = time.duration_since(prev_time);
prev_time = *time;
let old_activated_id = activated_id(&timestamp);
// writeln!(&mut file, "time.{old_activated_id}: {:.2}", elapsed.as_micros() as f64 / 1000.0).unwrap();
@ -227,7 +227,7 @@ impl DetailedSearchLogger {
.unwrap();
}
SearchEvents::RankingRuleSkipBucket { ranking_rule_idx, candidates, time } => {
let elapsed = time.duration_since(prev_time);
let _elapsed = time.duration_since(prev_time);
prev_time = *time;
let old_activated_id = activated_id(&timestamp);
// writeln!(&mut file, "time.{old_activated_id}: {:.2}", elapsed.as_micros() as f64 / 1000.0).unwrap();
@ -239,7 +239,7 @@ impl DetailedSearchLogger {
.unwrap();
}
SearchEvents::RankingRuleEndIteration { ranking_rule_idx, time, .. } => {
let elapsed = time.duration_since(prev_time);
let _elapsed = time.duration_since(prev_time);
prev_time = *time;
let cur_activated_id = activated_id(&timestamp);
// writeln!(&mut file, "time.{cur_activated_id}: {:.2}", elapsed.as_micros() as f64 / 1000.0).unwrap();
@ -332,7 +332,7 @@ results.{random} {{
writeln!(&mut file, "}}").unwrap();
}
fn query_node_d2_desc(node_idx: usize, node: &QueryNode, distances: &[u64], file: &mut File) {
fn query_node_d2_desc(node_idx: usize, node: &QueryNode, _distances: &[u64], file: &mut File) {
match &node {
QueryNode::Term(LocatedQueryTerm { value, .. }) => {
match value {

28
milli/src/search/new/mod.rs
View File

@ -1,18 +1,22 @@
pub mod db_cache;
pub mod graph_based_ranking_rule;
pub mod logger;
pub mod query_graph;
pub mod query_term;
pub mod ranking_rule_graph;
pub mod ranking_rules;
pub mod resolve_query_graph;
pub mod sort;
pub mod words;
mod db_cache;
mod graph_based_ranking_rule;
mod logger;
mod query_graph;
mod query_term;
mod ranking_rule_graph;
mod ranking_rules;
mod resolve_query_graph;
mod sort;
mod words;
use charabia::Tokenize;
use heed::RoTxn;
pub use query_graph::*;
pub use ranking_rules::*;
use query_graph::{QueryGraph, QueryNode};
pub use ranking_rules::{
execute_search, RankingRule, RankingRuleOutput, RankingRuleOutputIter,
RankingRuleOutputIterWrapper, RankingRuleQueryTrait,
};
use roaring::RoaringBitmap;
use self::db_cache::DatabaseCache;

4
milli/src/search/new/ranking_rule_graph/paths_map.rs
View File

@ -6,6 +6,10 @@ use roaring::RoaringBitmap;
use super::cheapest_paths::Path;
// What is PathsMap used for?
// For the empty_prefixes field in the EmptyPathsCache only :/
// but it could be used for more, like efficient computing of a set of paths
#[derive(Debug, Clone)]
pub struct PathsMap<V> {

88
milli/src/search/new/ranking_rule_graph/proximity/build.rs
View File

@ -13,16 +13,14 @@ use crate::{Index, Result};
pub fn visit_from_node(from_node: &QueryNode) -> Result<Option<(WordDerivations, i8)>> {
Ok(Some(match from_node {
QueryNode::Term(LocatedQueryTerm { value: value1, positions: pos1 }) => {
match value1 {
QueryTerm::Word { derivations } => (derivations.clone(), *pos1.end()),
QueryTerm::Phrase { phrase: phrase1 } => {
// TODO: remove second unwrap
let original = phrase1.words.last().unwrap().as_ref().unwrap().clone();
QueryNode::Term(LocatedQueryTerm { value: value1, positions: pos1 }) => match value1 {
QueryTerm::Word { derivations } => (derivations.clone(), *pos1.end()),
QueryTerm::Phrase { phrase: phrase1 } => {
if let Some(original) = phrase1.words.last().unwrap().as_ref() {
(
WordDerivations {
original: original.clone(),
zero_typo: vec![original],
zero_typo: vec![original.to_owned()],
one_typo: vec![],
two_typos: vec![],
use_prefix_db: false,
@ -31,9 +29,12 @@ pub fn visit_from_node(from_node: &QueryNode) -> Result<Option<(WordDerivations,
},
*pos1.end(),
)
} else {
// No word pairs if the phrase does not have a regular word as its last term
return Ok(None);
}
}
}
},
QueryNode::Start => (
WordDerivations {
original: String::new(),
@ -68,26 +69,27 @@ pub fn visit_to_node<'transaction, 'from_data>(
let (derivations2, pos2, ngram_len2) = match value2 {
QueryTerm::Word { derivations } => (derivations.clone(), *pos2.start(), pos2.len()),
QueryTerm::Phrase { phrase: phrase2 } => {
// TODO: remove second unwrap
let original = phrase2.words.last().unwrap().as_ref().unwrap().clone();
(
WordDerivations {
original: original.clone(),
zero_typo: vec![original],
one_typo: vec![],
two_typos: vec![],
use_prefix_db: false,
synonyms: vec![],
split_words: None,
},
*pos2.start(),
1,
)
if let Some(original) = phrase2.words.first().unwrap().as_ref() {
(
WordDerivations {
original: original.clone(),
zero_typo: vec![original.to_owned()],
one_typo: vec![],
two_typos: vec![],
use_prefix_db: false,
synonyms: vec![],
split_words: None,
},
*pos2.start(),
1,
)
} else {
// No word pairs if the phrase does not have a regular word as its first term
return Ok(vec![]);
}
}
};
// TODO: here we would actually do it for each combination of word1 and word2
// and take the union of them
if pos1 + 1 != pos2 {
// TODO: how should this actually be handled?
// We want to effectively ignore this pair of terms
@ -130,19 +132,37 @@ pub fn visit_to_node<'transaction, 'from_data>(
right_prefix: original_word_2.to_owned(),
});
}
if db_cache
.get_prefix_word_pair_proximity_docids(
index,
txn,
original_word_2.as_str(),
word1.as_str(),
proximity as u8 - 1,
)?
.is_some()
{
cost_proximity_word_pairs
.entry(cost)
.or_default()
.entry(proximity as u8)
.or_default()
.push(WordPair::WordPrefixSwapped {
left_prefix: original_word_2.to_owned(),
right: word1.to_owned(),
});
}
}
}
}
let derivations2 = derivations2.all_derivations_except_prefix_db();
// TODO: safeguard in case the cartesian product is too large?
// TODO: add safeguard in case the cartesian product is too large?
let product_derivations = derivations1.cartesian_product(derivations2);
for (word1, word2) in product_derivations {
for proximity in 1..=(8 - ngram_len2) {
let cost = (proximity + ngram_len2 - 1) as u8;
// TODO: do the opposite way with a proximity penalty as well!
// search for (word2, word1, proximity-1), I guess?
if db_cache
.get_word_pair_proximity_docids(index, txn, word1, word2, proximity as u8)?
.is_some()
@ -154,6 +174,18 @@ pub fn visit_to_node<'transaction, 'from_data>(
.or_default()
.push(WordPair::Words { left: word1.to_owned(), right: word2.to_owned() });
}
if proximity > 1
&& db_cache
.get_word_pair_proximity_docids(index, txn, word2, word1, proximity as u8 - 1)?
.is_some()
{
cost_proximity_word_pairs
.entry(cost)
.or_default()
.entry(proximity as u8 - 1)
.or_default()
.push(WordPair::Words { left: word2.to_owned(), right: word1.to_owned() });
}
}
}
let mut new_edges = cost_proximity_word_pairs

7
milli/src/search/new/ranking_rule_graph/proximity/compute_docids.rs
View File

@ -20,11 +20,8 @@ pub fn compute_docids<'transaction>(
}
WordPair::WordPrefix { left, right_prefix } => db_cache
.get_word_prefix_pair_proximity_docids(index, txn, left, right_prefix, *proximity),
WordPair::WordsSwapped { left, right } => {
db_cache.get_word_pair_proximity_docids(index, txn, left, right, *proximity)
}
WordPair::WordPrefixSwapped { left, right_prefix } => db_cache
.get_prefix_word_pair_proximity_docids(index, txn, left, right_prefix, *proximity),
WordPair::WordPrefixSwapped { left_prefix, right } => db_cache
.get_prefix_word_pair_proximity_docids(index, txn, left_prefix, right, *proximity),
}?;
let bitmap =
bytes.map(CboRoaringBitmapCodec::deserialize_from).transpose()?.unwrap_or_default();

3
milli/src/search/new/ranking_rule_graph/proximity/mod.rs
View File

@ -18,9 +18,8 @@ use crate::{Index, Result};
#[derive(Debug, Clone)]
pub enum WordPair {
Words { left: String, right: String },
WordsSwapped { left: String, right: String },
WordPrefix { left: String, right_prefix: String },
WordPrefixSwapped { left: String, right_prefix: String },
WordPrefixSwapped { left_prefix: String, right: String },
}
#[derive(Clone)]

7
milli/src/search/new/ranking_rule_graph/resolve_paths.rs
View File

@ -24,9 +24,13 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
mut paths: Vec<Vec<u32>>,
) -> Result<RoaringBitmap> {
paths.sort_unstable();
// let mut needs_filtering_empty_edges = false;
// let mut needs_filtering_empty_prefix = false;
// let mut needs_filtering_empty_couple_edges = false;
let mut needs_filtering = false;
let mut path_bitmaps = vec![];
'path_loop: loop {
// TODO: distinguish between empty_edges, empty_prefix, and empty_couple_edges filtering
if needs_filtering {
for path in paths.iter_mut() {
if empty_paths_cache.path_is_empty(path) {
@ -61,11 +65,13 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
self.remove_edge(edge_index);
edge_docids_cache.cache.remove(&edge_index);
needs_filtering = true;
// needs_filtering_empty_edges = true;
// 3. continue executing this function again on the remaining paths
continue 'path_loop;
} else {
path_bitmap &= edge_docids;
if path_bitmap.is_disjoint(universe) {
// needs_filtering_empty_prefix = true;
needs_filtering = true;
empty_paths_cache.forbid_prefix(&visited_edges);
// if the intersection between this edge and any
@ -76,6 +82,7 @@ impl<G: RankingRuleGraphTrait> RankingRuleGraph<G> {
{
let intersection = edge_docids & edge_docids2;
if intersection.is_disjoint(universe) {
// needs_filtering_empty_couple_edges = true;
empty_paths_cache
.forbid_couple_edges(*edge_index2, edge_index);
}

14
milli/src/search/new/ranking_rules.rs
View File

@ -98,20 +98,6 @@ pub struct RankingRuleOutput<Q> {
pub candidates: RoaringBitmap,
}
#[allow(unused)]
pub fn get_start_universe<'transaction>(
index: &Index,
txn: &'transaction RoTxn,
db_cache: &mut DatabaseCache<'transaction>,
query_graph: &QueryGraph,
term_matching_strategy: TermsMatchingStrategy,
// filters: Filters,
) -> Result<RoaringBitmap> {
// TODO: actually compute the universe from the query graph
let universe = index.documents_ids(txn).unwrap();
Ok(universe)
}
// TODO: can make it generic over the query type (either query graph or placeholder) fairly easily
#[allow(clippy::too_many_arguments)]
pub fn execute_search<'transaction>(