mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-24 05:30:16 +01:00
Merge branch 'search-refactor-typo-attributes' into search-refactor
This commit is contained in:
commit
644e136aee
@ -4,10 +4,14 @@ use std::hash::Hash;
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use fxhash::FxHashMap;
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use heed::types::ByteSlice;
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use heed::{BytesEncode, Database, RoTxn};
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use heed::{BytesDecode, BytesEncode, Database, RoTxn};
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use roaring::RoaringBitmap;
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use super::interner::Interned;
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use crate::{Result, SearchContext};
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use super::Word;
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use crate::{
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CboRoaringBitmapCodec, CboRoaringBitmapLenCodec, Result, RoaringBitmapCodec, SearchContext,
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};
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/// A cache storing pointers to values in the LMDB databases.
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///
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@ -25,6 +29,7 @@ pub struct DatabaseCache<'ctx> {
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pub word_docids: FxHashMap<Interned<String>, Option<&'ctx [u8]>>,
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pub exact_word_docids: FxHashMap<Interned<String>, Option<&'ctx [u8]>>,
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pub word_prefix_docids: FxHashMap<Interned<String>, Option<&'ctx [u8]>>,
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pub exact_word_prefix_docids: FxHashMap<Interned<String>, Option<&'ctx [u8]>>,
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pub words_fst: Option<fst::Set<Cow<'ctx, [u8]>>>,
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pub word_position_docids: FxHashMap<(Interned<String>, u16), Option<&'ctx [u8]>>,
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@ -64,28 +69,103 @@ impl<'ctx> SearchContext<'ctx> {
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}
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}
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pub fn word_docids(&mut self, word: Word) -> Result<Option<RoaringBitmap>> {
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match word {
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Word::Original(word) => {
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let exact = self.get_db_exact_word_docids(word)?;
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let tolerant = self.get_db_word_docids(word)?;
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Ok(match (exact, tolerant) {
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(None, None) => None,
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(None, Some(tolerant)) => Some(tolerant),
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(Some(exact), None) => Some(exact),
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(Some(exact), Some(tolerant)) => {
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let mut both = exact;
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both |= tolerant;
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Some(both)
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}
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})
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}
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Word::Derived(word) => self.get_db_word_docids(word),
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}
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}
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/// Retrieve or insert the given value in the `word_docids` database.
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pub fn get_db_word_docids(&mut self, word: Interned<String>) -> Result<Option<&'ctx [u8]>> {
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fn get_db_word_docids(&mut self, word: Interned<String>) -> Result<Option<RoaringBitmap>> {
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DatabaseCache::get_value(
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self.txn,
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word,
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self.word_interner.get(word).as_str(),
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&mut self.db_cache.word_docids,
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self.index.word_docids.remap_data_type::<ByteSlice>(),
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)
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)?
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.map(|bytes| RoaringBitmapCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into()))
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.transpose()
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}
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fn get_db_exact_word_docids(
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&mut self,
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word: Interned<String>,
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) -> Result<Option<RoaringBitmap>> {
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DatabaseCache::get_value(
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self.txn,
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word,
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self.word_interner.get(word).as_str(),
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&mut self.db_cache.exact_word_docids,
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self.index.exact_word_docids.remap_data_type::<ByteSlice>(),
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)?
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.map(|bytes| RoaringBitmapCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into()))
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.transpose()
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}
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pub fn word_prefix_docids(&mut self, prefix: Word) -> Result<Option<RoaringBitmap>> {
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match prefix {
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Word::Original(prefix) => {
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let exact = self.get_db_exact_word_prefix_docids(prefix)?;
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let tolerant = self.get_db_word_prefix_docids(prefix)?;
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Ok(match (exact, tolerant) {
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(None, None) => None,
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(None, Some(tolerant)) => Some(tolerant),
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(Some(exact), None) => Some(exact),
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(Some(exact), Some(tolerant)) => {
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let mut both = exact;
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both |= tolerant;
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Some(both)
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}
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})
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}
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Word::Derived(prefix) => self.get_db_word_prefix_docids(prefix),
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}
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}
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/// Retrieve or insert the given value in the `word_prefix_docids` database.
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pub fn get_db_word_prefix_docids(
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fn get_db_word_prefix_docids(
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&mut self,
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prefix: Interned<String>,
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) -> Result<Option<&'ctx [u8]>> {
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) -> Result<Option<RoaringBitmap>> {
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DatabaseCache::get_value(
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self.txn,
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prefix,
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self.word_interner.get(prefix).as_str(),
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&mut self.db_cache.word_prefix_docids,
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self.index.word_prefix_docids.remap_data_type::<ByteSlice>(),
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)
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)?
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.map(|bytes| RoaringBitmapCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into()))
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.transpose()
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}
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fn get_db_exact_word_prefix_docids(
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&mut self,
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prefix: Interned<String>,
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) -> Result<Option<RoaringBitmap>> {
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DatabaseCache::get_value(
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self.txn,
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prefix,
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self.word_interner.get(prefix).as_str(),
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&mut self.db_cache.exact_word_prefix_docids,
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self.index.exact_word_prefix_docids.remap_data_type::<ByteSlice>(),
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)?
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.map(|bytes| RoaringBitmapCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into()))
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.transpose()
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}
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pub fn get_db_word_pair_proximity_docids(
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@ -93,7 +173,7 @@ impl<'ctx> SearchContext<'ctx> {
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word1: Interned<String>,
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word2: Interned<String>,
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proximity: u8,
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) -> Result<Option<&'ctx [u8]>> {
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) -> Result<Option<RoaringBitmap>> {
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DatabaseCache::get_value(
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self.txn,
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(proximity, word1, word2),
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@ -104,7 +184,32 @@ impl<'ctx> SearchContext<'ctx> {
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),
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&mut self.db_cache.word_pair_proximity_docids,
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self.index.word_pair_proximity_docids.remap_data_type::<ByteSlice>(),
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)
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)?
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.map(|bytes| CboRoaringBitmapCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into()))
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.transpose()
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}
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pub fn get_db_word_pair_proximity_docids_len(
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&mut self,
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word1: Interned<String>,
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word2: Interned<String>,
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proximity: u8,
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) -> Result<Option<u64>> {
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DatabaseCache::get_value(
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self.txn,
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(proximity, word1, word2),
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&(
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proximity,
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self.word_interner.get(word1).as_str(),
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self.word_interner.get(word2).as_str(),
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),
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&mut self.db_cache.word_pair_proximity_docids,
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self.index.word_pair_proximity_docids.remap_data_type::<ByteSlice>(),
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)?
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.map(|bytes| {
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CboRoaringBitmapLenCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into())
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})
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.transpose()
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}
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pub fn get_db_word_prefix_pair_proximity_docids(
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@ -112,7 +217,7 @@ impl<'ctx> SearchContext<'ctx> {
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word1: Interned<String>,
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prefix2: Interned<String>,
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proximity: u8,
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) -> Result<Option<&'ctx [u8]>> {
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) -> Result<Option<RoaringBitmap>> {
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DatabaseCache::get_value(
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self.txn,
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(proximity, word1, prefix2),
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@ -123,14 +228,16 @@ impl<'ctx> SearchContext<'ctx> {
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),
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&mut self.db_cache.word_prefix_pair_proximity_docids,
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self.index.word_prefix_pair_proximity_docids.remap_data_type::<ByteSlice>(),
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)
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)?
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.map(|bytes| CboRoaringBitmapCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into()))
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.transpose()
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}
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pub fn get_db_prefix_word_pair_proximity_docids(
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&mut self,
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left_prefix: Interned<String>,
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right: Interned<String>,
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proximity: u8,
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) -> Result<Option<&'ctx [u8]>> {
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) -> Result<Option<RoaringBitmap>> {
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DatabaseCache::get_value(
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self.txn,
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(proximity, left_prefix, right),
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@ -141,34 +248,40 @@ impl<'ctx> SearchContext<'ctx> {
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),
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&mut self.db_cache.prefix_word_pair_proximity_docids,
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self.index.prefix_word_pair_proximity_docids.remap_data_type::<ByteSlice>(),
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)
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)?
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.map(|bytes| CboRoaringBitmapCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into()))
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.transpose()
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}
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pub fn get_db_word_position_docids(
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&mut self,
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word: Interned<String>,
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position: u16,
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) -> Result<Option<&'ctx [u8]>> {
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) -> Result<Option<RoaringBitmap>> {
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DatabaseCache::get_value(
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self.txn,
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(word, position),
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&(self.word_interner.get(word).as_str(), position),
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&mut self.db_cache.word_position_docids,
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self.index.word_position_docids.remap_data_type::<ByteSlice>(),
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)
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)?
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.map(|bytes| CboRoaringBitmapCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into()))
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.transpose()
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}
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pub fn get_db_word_fid_docids(
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&mut self,
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word: Interned<String>,
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fid: u16,
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) -> Result<Option<&'ctx [u8]>> {
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) -> Result<Option<RoaringBitmap>> {
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DatabaseCache::get_value(
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self.txn,
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(word, fid),
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&(self.word_interner.get(word).as_str(), fid),
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&mut self.db_cache.word_fid_docids,
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self.index.word_fid_docids.remap_data_type::<ByteSlice>(),
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)
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)?
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.map(|bytes| CboRoaringBitmapCodec::bytes_decode(bytes).ok_or(heed::Error::Decoding.into()))
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.transpose()
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}
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}
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|
@ -1,11 +1,10 @@
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use heed::BytesDecode;
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use roaring::{MultiOps, RoaringBitmap};
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use super::query_graph::QueryGraph;
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use super::ranking_rules::{RankingRule, RankingRuleOutput};
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use crate::search::new::query_graph::QueryNodeData;
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use crate::search::new::query_term::ExactTerm;
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use crate::{CboRoaringBitmapCodec, Result, SearchContext, SearchLogger};
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use crate::{Result, SearchContext, SearchLogger};
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/// A ranking rule that produces 3 disjoint buckets:
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///
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@ -161,10 +160,8 @@ impl State {
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// Note: Since the position is stored bucketed in word_position_docids, for queries with a lot of
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// longer phrases we'll be losing on precision here.
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let bucketed_position = crate::bucketed_position(position + offset);
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let word_position_docids = CboRoaringBitmapCodec::bytes_decode(
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ctx.get_db_word_position_docids(*word, bucketed_position)?.unwrap_or_default(),
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)
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.unwrap_or_default();
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let word_position_docids =
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ctx.get_db_word_position_docids(*word, bucketed_position)?.unwrap_or_default();
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candidates &= word_position_docids;
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if candidates.is_empty() {
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return Ok(State::Empty(query_graph.clone()));
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@ -191,11 +188,7 @@ impl State {
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// ignore stop words words in phrases
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.flatten()
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.map(|word| -> Result<_> {
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Ok(ctx
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.get_db_word_fid_docids(*word, fid)?
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.map(CboRoaringBitmapCodec::bytes_decode)
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.unwrap_or_default()
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.unwrap_or_default())
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Ok(ctx.get_db_word_fid_docids(*word, fid)?.unwrap_or_default())
|
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}),
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)?;
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intersection &= &candidates;
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|
@ -427,14 +427,14 @@ fill: \"#B6E2D3\"
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)?;
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for w in term_subset.all_single_words_except_prefix_db(ctx)? {
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let w = ctx.word_interner.get(w);
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let w = ctx.word_interner.get(w.interned());
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writeln!(file, "{w}: word")?;
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}
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for p in term_subset.all_phrases(ctx)? {
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writeln!(file, "{}: phrase", p.description(ctx))?;
|
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}
|
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if let Some(w) = term_subset.use_prefix_db(ctx) {
|
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let w = ctx.word_interner.get(w);
|
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let w = ctx.word_interner.get(w.interned());
|
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writeln!(file, "{w}: prefix db")?;
|
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}
|
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|
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|
@ -50,6 +50,8 @@ use ranking_rules::{BoxRankingRule, RankingRule};
|
||||
use resolve_query_graph::compute_query_graph_docids;
|
||||
use sort::Sort;
|
||||
|
||||
use self::interner::Interned;
|
||||
|
||||
/// A structure used throughout the execution of a search query.
|
||||
pub struct SearchContext<'ctx> {
|
||||
pub index: &'ctx Index,
|
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@ -75,6 +77,21 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Clone, Copy, PartialEq, PartialOrd, Ord, Eq)]
|
||||
pub enum Word {
|
||||
Original(Interned<String>),
|
||||
Derived(Interned<String>),
|
||||
}
|
||||
|
||||
impl Word {
|
||||
pub fn interned(&self) -> Interned<String> {
|
||||
match self {
|
||||
Word::Original(word) => *word,
|
||||
Word::Derived(word) => *word,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Apply the [`TermsMatchingStrategy`] to the query graph and resolve it.
|
||||
#[allow(clippy::too_many_arguments)]
|
||||
fn resolve_maximally_reduced_query_graph(
|
||||
|
@ -1,17 +1,17 @@
|
||||
use fst::automaton::Str;
|
||||
use fst::{Automaton, IntoStreamer, Streamer};
|
||||
use heed::types::DecodeIgnore;
|
||||
use heed::BytesDecode;
|
||||
use std::borrow::Cow;
|
||||
use std::collections::BTreeSet;
|
||||
use std::ops::ControlFlow;
|
||||
|
||||
use fst::automaton::Str;
|
||||
use fst::{Automaton, IntoStreamer, Streamer};
|
||||
use heed::types::DecodeIgnore;
|
||||
|
||||
use super::*;
|
||||
use crate::search::fst_utils::{Complement, Intersection, StartsWith, Union};
|
||||
use crate::search::new::query_term::TwoTypoTerm;
|
||||
use crate::search::new::{limits, SearchContext};
|
||||
use crate::search::{build_dfa, get_first};
|
||||
use crate::{CboRoaringBitmapLenCodec, Result, MAX_WORD_LENGTH};
|
||||
use crate::{Result, MAX_WORD_LENGTH};
|
||||
|
||||
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
|
||||
pub enum NumberOfTypos {
|
||||
@ -177,6 +177,7 @@ pub fn partially_initialized_term_from_word(
|
||||
word: &str,
|
||||
max_typo: u8,
|
||||
is_prefix: bool,
|
||||
is_ngram: bool,
|
||||
) -> Result<QueryTerm> {
|
||||
let word_interned = ctx.word_interner.insert(word.to_owned());
|
||||
|
||||
@ -197,12 +198,19 @@ pub fn partially_initialized_term_from_word(
|
||||
let fst = ctx.index.words_fst(ctx.txn)?;
|
||||
|
||||
let use_prefix_db = is_prefix
|
||||
&& ctx
|
||||
&& (ctx
|
||||
.index
|
||||
.word_prefix_docids
|
||||
.remap_data_type::<DecodeIgnore>()
|
||||
.get(ctx.txn, word)?
|
||||
.is_some();
|
||||
.is_some()
|
||||
|| (!is_ngram
|
||||
&& ctx
|
||||
.index
|
||||
.exact_word_prefix_docids
|
||||
.remap_data_type::<DecodeIgnore>()
|
||||
.get(ctx.txn, word)?
|
||||
.is_some()));
|
||||
let use_prefix_db = if use_prefix_db { Some(word_interned) } else { None };
|
||||
|
||||
let mut zero_typo = None;
|
||||
@ -385,9 +393,7 @@ fn split_best_frequency(
|
||||
let left = ctx.word_interner.insert(left.to_owned());
|
||||
let right = ctx.word_interner.insert(right.to_owned());
|
||||
|
||||
if let Some(docid_bytes) = ctx.get_db_word_pair_proximity_docids(left, right, 1)? {
|
||||
let frequency =
|
||||
CboRoaringBitmapLenCodec::bytes_decode(docid_bytes).ok_or(heed::Error::Decoding)?;
|
||||
if let Some(frequency) = ctx.get_db_word_pair_proximity_docids_len(left, right, 1)? {
|
||||
if best.map_or(true, |(old, _, _)| frequency > old) {
|
||||
best = Some((frequency, left, right));
|
||||
}
|
||||
|
@ -3,18 +3,18 @@ mod ntypo_subset;
|
||||
mod parse_query;
|
||||
mod phrase;
|
||||
|
||||
use super::interner::{DedupInterner, Interned};
|
||||
use super::{limits, SearchContext};
|
||||
use crate::Result;
|
||||
use std::collections::BTreeSet;
|
||||
use std::ops::RangeInclusive;
|
||||
|
||||
use compute_derivations::partially_initialized_term_from_word;
|
||||
use either::Either;
|
||||
pub use ntypo_subset::NTypoTermSubset;
|
||||
pub use parse_query::{located_query_terms_from_string, make_ngram, number_of_typos_allowed};
|
||||
pub use phrase::Phrase;
|
||||
|
||||
use compute_derivations::partially_initialized_term_from_word;
|
||||
use super::interner::{DedupInterner, Interned};
|
||||
use super::{limits, SearchContext, Word};
|
||||
use crate::Result;
|
||||
|
||||
/// A set of word derivations attached to a location in the search query.
|
||||
#[derive(Clone, PartialEq, Eq, Hash)]
|
||||
@ -159,12 +159,12 @@ impl QueryTermSubset {
|
||||
self.two_typo_subset.intersect(&other.two_typo_subset);
|
||||
}
|
||||
|
||||
pub fn use_prefix_db(&self, ctx: &SearchContext) -> Option<Interned<String>> {
|
||||
pub fn use_prefix_db(&self, ctx: &SearchContext) -> Option<Word> {
|
||||
let original = ctx.term_interner.get(self.original);
|
||||
let Some(use_prefix_db) = original.zero_typo.use_prefix_db else {
|
||||
return None
|
||||
};
|
||||
match &self.zero_typo_subset {
|
||||
let word = match &self.zero_typo_subset {
|
||||
NTypoTermSubset::All => Some(use_prefix_db),
|
||||
NTypoTermSubset::Subset { words, phrases: _ } => {
|
||||
// TODO: use a subset of prefix words instead
|
||||
@ -175,12 +175,19 @@ impl QueryTermSubset {
|
||||
}
|
||||
}
|
||||
NTypoTermSubset::Nothing => None,
|
||||
};
|
||||
word.map(|word| {
|
||||
if original.ngram_words.is_some() {
|
||||
Word::Derived(word)
|
||||
} else {
|
||||
Word::Original(word)
|
||||
}
|
||||
})
|
||||
}
|
||||
pub fn all_single_words_except_prefix_db(
|
||||
&self,
|
||||
ctx: &mut SearchContext,
|
||||
) -> Result<BTreeSet<Interned<String>>> {
|
||||
) -> Result<BTreeSet<Word>> {
|
||||
let mut result = BTreeSet::default();
|
||||
// TODO: a compute_partially funtion
|
||||
if !self.one_typo_subset.is_empty() || !self.two_typo_subset.is_empty() {
|
||||
@ -197,8 +204,20 @@ impl QueryTermSubset {
|
||||
synonyms: _,
|
||||
use_prefix_db: _,
|
||||
} = &original.zero_typo;
|
||||
result.extend(zero_typo.iter().copied());
|
||||
result.extend(prefix_of.iter().copied());
|
||||
result.extend(zero_typo.iter().copied().map(|w| {
|
||||
if original.ngram_words.is_some() {
|
||||
Word::Derived(w)
|
||||
} else {
|
||||
Word::Original(w)
|
||||
}
|
||||
}));
|
||||
result.extend(prefix_of.iter().copied().map(|w| {
|
||||
if original.ngram_words.is_some() {
|
||||
Word::Derived(w)
|
||||
} else {
|
||||
Word::Original(w)
|
||||
}
|
||||
}));
|
||||
}
|
||||
NTypoTermSubset::Subset { words, phrases: _ } => {
|
||||
let ZeroTypoTerm {
|
||||
@ -210,10 +229,20 @@ impl QueryTermSubset {
|
||||
} = &original.zero_typo;
|
||||
if let Some(zero_typo) = zero_typo {
|
||||
if words.contains(zero_typo) {
|
||||
result.insert(*zero_typo);
|
||||
if original.ngram_words.is_some() {
|
||||
result.insert(Word::Derived(*zero_typo));
|
||||
} else {
|
||||
result.insert(Word::Original(*zero_typo));
|
||||
}
|
||||
}
|
||||
result.extend(prefix_of.intersection(words).copied());
|
||||
}
|
||||
result.extend(prefix_of.intersection(words).copied().map(|w| {
|
||||
if original.ngram_words.is_some() {
|
||||
Word::Derived(w)
|
||||
} else {
|
||||
Word::Original(w)
|
||||
}
|
||||
}));
|
||||
}
|
||||
NTypoTermSubset::Nothing => {}
|
||||
}
|
||||
@ -223,13 +252,13 @@ impl QueryTermSubset {
|
||||
let Lazy::Init(OneTypoTerm { split_words: _, one_typo }) = &original.one_typo else {
|
||||
panic!()
|
||||
};
|
||||
result.extend(one_typo.iter().copied())
|
||||
result.extend(one_typo.iter().copied().map(Word::Derived))
|
||||
}
|
||||
NTypoTermSubset::Subset { words, phrases: _ } => {
|
||||
let Lazy::Init(OneTypoTerm { split_words: _, one_typo }) = &original.one_typo else {
|
||||
panic!()
|
||||
};
|
||||
result.extend(one_typo.intersection(words));
|
||||
result.extend(one_typo.intersection(words).copied().map(Word::Derived));
|
||||
}
|
||||
NTypoTermSubset::Nothing => {}
|
||||
};
|
||||
@ -239,13 +268,13 @@ impl QueryTermSubset {
|
||||
let Lazy::Init(TwoTypoTerm { two_typos }) = &original.two_typo else {
|
||||
panic!()
|
||||
};
|
||||
result.extend(two_typos.iter().copied());
|
||||
result.extend(two_typos.iter().copied().map(Word::Derived));
|
||||
}
|
||||
NTypoTermSubset::Subset { words, phrases: _ } => {
|
||||
let Lazy::Init(TwoTypoTerm { two_typos }) = &original.two_typo else {
|
||||
panic!()
|
||||
};
|
||||
result.extend(two_typos.intersection(words));
|
||||
result.extend(two_typos.intersection(words).copied().map(Word::Derived));
|
||||
}
|
||||
NTypoTermSubset::Nothing => {}
|
||||
};
|
||||
|
@ -1,8 +1,8 @@
|
||||
use charabia::{normalizer::NormalizedTokenIter, SeparatorKind, TokenKind};
|
||||
|
||||
use crate::{Result, SearchContext, MAX_WORD_LENGTH};
|
||||
use charabia::normalizer::NormalizedTokenIter;
|
||||
use charabia::{SeparatorKind, TokenKind};
|
||||
|
||||
use super::*;
|
||||
use crate::{Result, SearchContext, MAX_WORD_LENGTH};
|
||||
|
||||
/// Convert the tokenised search query into a list of located query terms.
|
||||
// TODO: checking if the positions are correct for phrases, separators, ngrams
|
||||
@ -51,6 +51,7 @@ pub fn located_query_terms_from_string(
|
||||
word,
|
||||
nbr_typos(word),
|
||||
false,
|
||||
false,
|
||||
)?;
|
||||
let located_term = LocatedQueryTerm {
|
||||
value: ctx.term_interner.push(term),
|
||||
@ -62,8 +63,13 @@ pub fn located_query_terms_from_string(
|
||||
}
|
||||
} else {
|
||||
let word = token.lemma();
|
||||
let term =
|
||||
partially_initialized_term_from_word(ctx, word, nbr_typos(word), true)?;
|
||||
let term = partially_initialized_term_from_word(
|
||||
ctx,
|
||||
word,
|
||||
nbr_typos(word),
|
||||
true,
|
||||
false,
|
||||
)?;
|
||||
let located_term = LocatedQueryTerm {
|
||||
value: ctx.term_interner.push(term),
|
||||
positions: position..=position,
|
||||
@ -195,7 +201,8 @@ pub fn make_ngram(
|
||||
let max_nbr_typos =
|
||||
number_of_typos_allowed(ngram_str.as_str()).saturating_sub(terms.len() as u8 - 1);
|
||||
|
||||
let mut term = partially_initialized_term_from_word(ctx, &ngram_str, max_nbr_typos, is_prefix)?;
|
||||
let mut term =
|
||||
partially_initialized_term_from_word(ctx, &ngram_str, max_nbr_typos, is_prefix, true)?;
|
||||
|
||||
// Now add the synonyms
|
||||
let index_synonyms = ctx.index.synonyms(ctx.txn)?;
|
||||
|
@ -1,10 +1,10 @@
|
||||
use heed::BytesDecode;
|
||||
use roaring::RoaringBitmap;
|
||||
|
||||
use super::{ComputedCondition, RankingRuleGraphTrait};
|
||||
use crate::search::new::interner::{DedupInterner, Interned};
|
||||
use crate::search::new::query_term::{ExactTerm, LocatedQueryTermSubset};
|
||||
use crate::{Result, RoaringBitmapCodec, SearchContext};
|
||||
use crate::search::new::Word;
|
||||
use crate::{Result, SearchContext};
|
||||
|
||||
#[derive(Clone, PartialEq, Eq, Hash)]
|
||||
pub enum ExactnessCondition {
|
||||
@ -27,8 +27,8 @@ fn compute_docids(
|
||||
let mut candidates = match exact_term {
|
||||
ExactTerm::Phrase(phrase) => ctx.get_phrase_docids(phrase)?.clone(),
|
||||
ExactTerm::Word(word) => {
|
||||
if let Some(word_candidates) = ctx.get_db_word_docids(word)? {
|
||||
RoaringBitmapCodec::bytes_decode(word_candidates).ok_or(heed::Error::Decoding)?
|
||||
if let Some(word_candidates) = ctx.word_docids(Word::Original(word))? {
|
||||
word_candidates
|
||||
} else {
|
||||
return Ok(Default::default());
|
||||
}
|
||||
|
@ -2,7 +2,6 @@
|
||||
|
||||
use std::collections::BTreeSet;
|
||||
|
||||
use heed::BytesDecode;
|
||||
use roaring::RoaringBitmap;
|
||||
|
||||
use super::ProximityCondition;
|
||||
@ -10,8 +9,8 @@ use crate::search::new::interner::Interned;
|
||||
use crate::search::new::query_term::{Phrase, QueryTermSubset};
|
||||
use crate::search::new::ranking_rule_graph::ComputedCondition;
|
||||
use crate::search::new::resolve_query_graph::compute_query_term_subset_docids;
|
||||
use crate::search::new::SearchContext;
|
||||
use crate::{CboRoaringBitmapCodec, Result, RoaringBitmapCodec};
|
||||
use crate::search::new::{SearchContext, Word};
|
||||
use crate::Result;
|
||||
|
||||
pub fn compute_docids(
|
||||
ctx: &mut SearchContext,
|
||||
@ -55,8 +54,8 @@ pub fn compute_docids(
|
||||
{
|
||||
compute_prefix_edges(
|
||||
ctx,
|
||||
left_word,
|
||||
right_prefix,
|
||||
left_word.interned(),
|
||||
right_prefix.interned(),
|
||||
left_phrase,
|
||||
forward_proximity,
|
||||
backward_proximity,
|
||||
@ -92,9 +91,7 @@ pub fn compute_docids(
|
||||
if universe.is_disjoint(ctx.get_phrase_docids(left_phrase)?) {
|
||||
continue;
|
||||
}
|
||||
} else if let Some(lw_bytes) = ctx.get_db_word_docids(left_word)? {
|
||||
let left_word_docids =
|
||||
RoaringBitmapCodec::bytes_decode(lw_bytes).ok_or(heed::Error::Decoding)?;
|
||||
} else if let Some(left_word_docids) = ctx.word_docids(left_word)? {
|
||||
if universe.is_disjoint(&left_word_docids) {
|
||||
continue;
|
||||
}
|
||||
@ -104,7 +101,7 @@ pub fn compute_docids(
|
||||
for (right_word, right_phrase) in right_derivs {
|
||||
compute_non_prefix_edges(
|
||||
ctx,
|
||||
left_word,
|
||||
left_word.interned(),
|
||||
right_word,
|
||||
left_phrase,
|
||||
right_phrase,
|
||||
@ -155,7 +152,7 @@ fn compute_prefix_edges(
|
||||
if let Some(new_docids) =
|
||||
ctx.get_db_word_prefix_pair_proximity_docids(left_word, right_prefix, forward_proximity)?
|
||||
{
|
||||
let new_docids = &universe & CboRoaringBitmapCodec::deserialize_from(new_docids)?;
|
||||
let new_docids = &universe & new_docids;
|
||||
if !new_docids.is_empty() {
|
||||
used_left_words.insert(left_word);
|
||||
used_right_prefix.insert(right_prefix);
|
||||
@ -170,7 +167,7 @@ fn compute_prefix_edges(
|
||||
left_word,
|
||||
backward_proximity,
|
||||
)? {
|
||||
let new_docids = &universe & CboRoaringBitmapCodec::deserialize_from(new_docids)?;
|
||||
let new_docids = &universe & new_docids;
|
||||
if !new_docids.is_empty() {
|
||||
used_left_words.insert(left_word);
|
||||
used_right_prefix.insert(right_prefix);
|
||||
@ -217,7 +214,7 @@ fn compute_non_prefix_edges(
|
||||
if let Some(new_docids) =
|
||||
ctx.get_db_word_pair_proximity_docids(word1, word2, forward_proximity)?
|
||||
{
|
||||
let new_docids = &universe & CboRoaringBitmapCodec::deserialize_from(new_docids)?;
|
||||
let new_docids = &universe & new_docids;
|
||||
if !new_docids.is_empty() {
|
||||
used_left_words.insert(word1);
|
||||
used_right_words.insert(word2);
|
||||
@ -231,7 +228,7 @@ fn compute_non_prefix_edges(
|
||||
if let Some(new_docids) =
|
||||
ctx.get_db_word_pair_proximity_docids(word2, word1, backward_proximity)?
|
||||
{
|
||||
let new_docids = &universe & CboRoaringBitmapCodec::deserialize_from(new_docids)?;
|
||||
let new_docids = &universe & new_docids;
|
||||
if !new_docids.is_empty() {
|
||||
used_left_words.insert(word2);
|
||||
used_right_words.insert(word1);
|
||||
@ -246,7 +243,7 @@ fn compute_non_prefix_edges(
|
||||
fn last_words_of_term_derivations(
|
||||
ctx: &mut SearchContext,
|
||||
t: &QueryTermSubset,
|
||||
) -> Result<BTreeSet<(Option<Interned<Phrase>>, Interned<String>)>> {
|
||||
) -> Result<BTreeSet<(Option<Interned<Phrase>>, Word)>> {
|
||||
let mut result = BTreeSet::new();
|
||||
|
||||
for w in t.all_single_words_except_prefix_db(ctx)? {
|
||||
@ -256,7 +253,7 @@ fn last_words_of_term_derivations(
|
||||
let phrase = ctx.phrase_interner.get(p);
|
||||
let last_term_of_phrase = phrase.words.last().unwrap();
|
||||
if let Some(last_word) = last_term_of_phrase {
|
||||
result.insert((Some(p), *last_word));
|
||||
result.insert((Some(p), Word::Original(*last_word)));
|
||||
}
|
||||
}
|
||||
|
||||
@ -269,7 +266,7 @@ fn first_word_of_term_iter(
|
||||
let mut result = BTreeSet::new();
|
||||
let all_words = t.all_single_words_except_prefix_db(ctx)?;
|
||||
for w in all_words {
|
||||
result.insert((w, None));
|
||||
result.insert((w.interned(), None));
|
||||
}
|
||||
for p in t.all_phrases(ctx)? {
|
||||
let phrase = ctx.phrase_interner.get(p);
|
||||
|
@ -3,16 +3,15 @@
|
||||
use std::collections::VecDeque;
|
||||
|
||||
use fxhash::FxHashMap;
|
||||
use heed::BytesDecode;
|
||||
use roaring::RoaringBitmap;
|
||||
|
||||
use super::interner::Interned;
|
||||
use super::query_graph::QueryNodeData;
|
||||
use super::query_term::{Phrase, QueryTermSubset};
|
||||
use super::small_bitmap::SmallBitmap;
|
||||
use super::{QueryGraph, SearchContext};
|
||||
use super::{QueryGraph, SearchContext, Word};
|
||||
use crate::search::new::query_term::LocatedQueryTermSubset;
|
||||
use crate::{CboRoaringBitmapCodec, Result, RoaringBitmapCodec};
|
||||
use crate::Result;
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct PhraseDocIdsCache {
|
||||
@ -36,8 +35,8 @@ pub fn compute_query_term_subset_docids(
|
||||
) -> Result<RoaringBitmap> {
|
||||
let mut docids = RoaringBitmap::new();
|
||||
for word in term.all_single_words_except_prefix_db(ctx)? {
|
||||
if let Some(word_docids) = ctx.get_db_word_docids(word)? {
|
||||
docids |= RoaringBitmapCodec::bytes_decode(word_docids).ok_or(heed::Error::Decoding)?;
|
||||
if let Some(word_docids) = ctx.word_docids(word)? {
|
||||
docids |= word_docids;
|
||||
}
|
||||
}
|
||||
for phrase in term.all_phrases(ctx)? {
|
||||
@ -45,9 +44,8 @@ pub fn compute_query_term_subset_docids(
|
||||
}
|
||||
|
||||
if let Some(prefix) = term.use_prefix_db(ctx) {
|
||||
if let Some(prefix_docids) = ctx.get_db_word_prefix_docids(prefix)? {
|
||||
docids |=
|
||||
RoaringBitmapCodec::bytes_decode(prefix_docids).ok_or(heed::Error::Decoding)?;
|
||||
if let Some(prefix_docids) = ctx.word_prefix_docids(prefix)? {
|
||||
docids |= prefix_docids;
|
||||
}
|
||||
}
|
||||
|
||||
@ -127,9 +125,8 @@ pub fn compute_phrase_docids(
|
||||
}
|
||||
if words.len() == 1 {
|
||||
if let Some(word) = &words[0] {
|
||||
if let Some(word_docids) = ctx.get_db_word_docids(*word)? {
|
||||
return RoaringBitmapCodec::bytes_decode(word_docids)
|
||||
.ok_or(heed::Error::Decoding.into());
|
||||
if let Some(word_docids) = ctx.word_docids(Word::Original(*word))? {
|
||||
return Ok(word_docids);
|
||||
} else {
|
||||
return Ok(RoaringBitmap::new());
|
||||
}
|
||||
@ -158,7 +155,7 @@ pub fn compute_phrase_docids(
|
||||
{
|
||||
if dist == 0 {
|
||||
match ctx.get_db_word_pair_proximity_docids(s1, s2, 1)? {
|
||||
Some(m) => bitmaps.push(CboRoaringBitmapCodec::deserialize_from(m)?),
|
||||
Some(m) => bitmaps.push(m),
|
||||
// If there are no documents for this pair, there will be no
|
||||
// results for the phrase query.
|
||||
None => return Ok(RoaringBitmap::new()),
|
||||
@ -169,7 +166,7 @@ pub fn compute_phrase_docids(
|
||||
if let Some(m) =
|
||||
ctx.get_db_word_pair_proximity_docids(s1, s2, dist as u8 + 1)?
|
||||
{
|
||||
bitmap |= CboRoaringBitmapCodec::deserialize_from(m)?;
|
||||
bitmap |= m;
|
||||
}
|
||||
}
|
||||
if bitmap.is_empty() {
|
||||
|
Loading…
x
Reference in New Issue
Block a user