MeiliSearch/src/lib.rs

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Rust
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mod best_proximity;
mod query_tokens;
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use std::borrow::Cow;
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use std::collections::HashMap;
use std::hash::BuildHasherDefault;
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use std::time::Instant;
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use cow_utils::CowUtils;
use fst::{IntoStreamer, Streamer};
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use fxhash::FxHasher32;
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use heed::types::*;
use heed::{PolyDatabase, Database};
use levenshtein_automata::LevenshteinAutomatonBuilder as LevBuilder;
use once_cell::sync::Lazy;
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use roaring::RoaringBitmap;
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use self::query_tokens::{QueryTokens, QueryToken};
use self::best_proximity::BestProximity;
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// Building these factories is not free.
static LEVDIST0: Lazy<LevBuilder> = Lazy::new(|| LevBuilder::new(0, true));
static LEVDIST1: Lazy<LevBuilder> = Lazy::new(|| LevBuilder::new(1, true));
static LEVDIST2: Lazy<LevBuilder> = Lazy::new(|| LevBuilder::new(2, true));
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pub type FastMap4<K, V> = HashMap<K, V, BuildHasherDefault<FxHasher32>>;
pub type SmallString32 = smallstr::SmallString<[u8; 32]>;
pub type SmallVec32 = smallvec::SmallVec<[u8; 32]>;
pub type BEU32 = heed::zerocopy::U32<heed::byteorder::BE>;
pub type DocumentId = u32;
pub type AttributeId = u32;
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#[derive(Clone)]
pub struct Index {
pub main: PolyDatabase,
pub postings_attrs: Database<Str, ByteSlice>,
pub prefix_postings_attrs: Database<ByteSlice, ByteSlice>,
pub postings_ids: Database<ByteSlice, ByteSlice>,
pub prefix_postings_ids: Database<ByteSlice, ByteSlice>,
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pub documents: Database<OwnedType<BEU32>, ByteSlice>,
}
impl Index {
pub fn new(env: &heed::Env) -> heed::Result<Index> {
let main = env.create_poly_database(None)?;
let postings_attrs = env.create_database(Some("postings-attrs"))?;
let prefix_postings_attrs = env.create_database(Some("prefix-postings-attrs"))?;
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let postings_ids = env.create_database(Some("postings-ids"))?;
let prefix_postings_ids = env.create_database(Some("prefix-postings-ids"))?;
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let documents = env.create_database(Some("documents"))?;
Ok(Index { main, postings_attrs, prefix_postings_attrs, postings_ids, prefix_postings_ids, documents })
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}
pub fn headers<'t>(&self, rtxn: &'t heed::RoTxn) -> heed::Result<Option<&'t [u8]>> {
self.main.get::<_, Str, ByteSlice>(rtxn, "headers")
}
pub fn search(&self, rtxn: &heed::RoTxn, query: &str) -> anyhow::Result<Vec<DocumentId>> {
let fst = match self.main.get::<_, Str, ByteSlice>(rtxn, "words-fst")? {
Some(bytes) => fst::Set::new(bytes)?,
None => return Ok(Vec::new()),
};
let (lev0, lev1, lev2) = (&LEVDIST0, &LEVDIST1, &LEVDIST2);
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let words: Vec<_> = QueryTokens::new(query).collect();
let ends_with_whitespace = query.chars().last().map_or(false, char::is_whitespace);
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let number_of_words = words.len();
let dfas = words.into_iter().enumerate().map(|(i, word)| {
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let (word, quoted) = match word {
QueryToken::Free(word) => (word.cow_to_lowercase(), false),
QueryToken::Quoted(word) => (Cow::Borrowed(word), true),
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};
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let is_last = i + 1 == number_of_words;
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let is_prefix = is_last && !ends_with_whitespace && !quoted;
let lev = match word.len() {
0..=4 => if quoted { lev0 } else { lev0 },
5..=8 => if quoted { lev0 } else { lev1 },
_ => if quoted { lev0 } else { lev2 },
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};
let dfa = if is_prefix {
lev.build_prefix_dfa(&word)
} else {
lev.build_dfa(&word)
};
(word, is_prefix, dfa)
});
let mut words_positions = Vec::new();
let mut positions = Vec::new();
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let before = Instant::now();
for (word, is_prefix, dfa) in dfas {
let mut count = 0;
let mut union_positions = RoaringBitmap::default();
if false && word.len() <= 4 && is_prefix {
if let Some(ids) = self.prefix_postings_attrs.get(rtxn, word.as_bytes())? {
let right = RoaringBitmap::deserialize_from(ids)?;
union_positions.union_with(&right);
count = 1;
}
} else {
let mut stream = fst.search(&dfa).into_stream();
while let Some(word) = stream.next() {
let word = std::str::from_utf8(word)?;
if let Some(attrs) = self.postings_attrs.get(rtxn, word)? {
let right = RoaringBitmap::deserialize_from(attrs)?;
union_positions.union_with(&right);
count += 1;
}
}
}
eprintln!("{} words for {:?} we have found positions {:?}", count, word, union_positions);
words_positions.push((word, is_prefix, dfa));
positions.push(union_positions.iter().collect());
}
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eprintln!("Retrieving words positions took {:.02?}", before.elapsed());
// TODO re-enable the prefixes system
let mut words = Vec::new();
for (_word, _is_prefix, dfa) in words_positions {
let mut stream = fst.search(dfa).into_stream();
let mut derived_words = Vec::new();
while let Some(word) = stream.next() {
derived_words.push(word.to_vec());
}
words.push(derived_words);
}
let mut documents = Vec::new();
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'outer: for (proximity, positions) in BestProximity::new(positions) {
let same_prox_before = Instant::now();
let mut same_proximity_union = RoaringBitmap::default();
for positions in positions {
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let before = Instant::now();
let mut intersect_docids: Option<RoaringBitmap> = None;
for (derived_words, pos) in words.iter().zip(positions.clone()) {
let mut count = 0;
let mut union_docids = RoaringBitmap::default();
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let before = Instant::now();
// TODO re-enable the prefixes system
for word in derived_words.iter() {
let mut key = word.clone();
key.extend_from_slice(&pos.to_be_bytes());
if let Some(attrs) = self.postings_ids.get(rtxn, &key)? {
let right = RoaringBitmap::deserialize_from(attrs)?;
union_docids.union_with(&right);
count += 1;
}
}
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let before_intersect = Instant::now();
match &mut intersect_docids {
Some(left) => left.intersect_with(&union_docids),
None => intersect_docids = Some(union_docids),
}
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eprintln!("retrieving {} word took {:.02?} and took {:.02?} to intersect",
count, before.elapsed(), before_intersect.elapsed());
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}
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eprintln!("for proximity {:?} {:?} we took {:.02?} to find {} documents",
proximity, positions, before.elapsed(),
intersect_docids.as_ref().map_or(0, |rb| rb.len()));
if let Some(intersect_docids) = intersect_docids {
same_proximity_union.union_with(&intersect_docids);
}
}
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eprintln!("proximity {} took a total of {:.02?}", proximity, same_prox_before.elapsed());
documents.push(same_proximity_union);
// We found enough documents we can stop here
if documents.iter().map(RoaringBitmap::len).sum::<u64>() >= 20 {
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break 'outer;
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}
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}
eprintln!("{} candidates", documents.iter().map(RoaringBitmap::len).sum::<u64>());
Ok(documents.iter().flatten().take(20).collect())
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}
}