mirror of
https://github.com/meilisearch/MeiliSearch
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Merge #4717
4717: Implement intersection at end on the search pipeline r=Kerollmops a=Kerollmops This PR is akin to #4713 and #4682 because it uses the new RoaringBitmap method to do the intersections directly on the serialized bytes for the bytes LMDB/heed returns. More work related to this issue can be done, and I listed that in #4780. Running the following command shows where we use bitand/intersection operations and where we can potentially apply this optimization. ```sh rg --type rust --vimgrep '\s&[=\s]' milli/src/search ``` Co-authored-by: Clément Renault <clement@meilisearch.com>
This commit is contained in:
commit
f36f34c2f7
@ -46,36 +46,70 @@ pub struct DatabaseCache<'ctx> {
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pub word_prefix_fids: FxHashMap<Interned<String>, Vec<u16>>,
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}
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impl<'ctx> DatabaseCache<'ctx> {
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fn get_value<'v, K1, KC, DC>(
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fn get_value<'v, K1, KC>(
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txn: &'ctx RoTxn<'_>,
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cache_key: K1,
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db_key: &'v KC::EItem,
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cache: &mut FxHashMap<K1, Option<Cow<'ctx, [u8]>>>,
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universe: Option<&RoaringBitmap>,
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db: Database<KC, Bytes>,
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) -> Result<Option<DC::DItem>>
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) -> Result<Option<RoaringBitmap>>
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where
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K1: Copy + Eq + Hash,
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KC: BytesEncode<'v>,
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DC: BytesDecodeOwned,
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{
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if let Entry::Vacant(entry) = cache.entry(cache_key) {
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let bitmap_ptr = db.get(txn, db_key)?.map(Cow::Borrowed);
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entry.insert(bitmap_ptr);
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}
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match cache.get(&cache_key).unwrap() {
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Some(Cow::Borrowed(bytes)) => DC::bytes_decode_owned(bytes)
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let bitmap_bytes = match cache.get(&cache_key).unwrap() {
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Some(Cow::Borrowed(bytes)) => bytes,
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Some(Cow::Owned(bytes)) => bytes.as_slice(),
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None => return Ok(None),
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};
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match (bitmap_bytes, universe) {
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(bytes, Some(universe)) => {
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CboRoaringBitmapCodec::intersection_with_serialized(bytes, universe)
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.map(Some)
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.map_err(Into::into)
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}
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(bytes, None) => CboRoaringBitmapCodec::bytes_decode_owned(bytes)
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.map(Some)
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.map_err(heed::Error::Decoding)
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.map_err(Into::into),
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Some(Cow::Owned(bytes)) => DC::bytes_decode_owned(bytes)
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.map(Some)
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.map_err(heed::Error::Decoding)
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.map_err(Into::into),
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None => Ok(None),
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}
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}
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fn get_value_length<'v, K1, KC>(
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txn: &'ctx RoTxn<'_>,
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cache_key: K1,
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db_key: &'v KC::EItem,
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cache: &mut FxHashMap<K1, Option<Cow<'ctx, [u8]>>>,
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db: Database<KC, Bytes>,
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) -> Result<Option<u64>>
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where
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K1: Copy + Eq + Hash,
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KC: BytesEncode<'v>,
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{
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if let Entry::Vacant(entry) = cache.entry(cache_key) {
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let bitmap_ptr = db.get(txn, db_key)?.map(Cow::Borrowed);
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entry.insert(bitmap_ptr);
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}
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let bitmap_bytes = match cache.get(&cache_key).unwrap() {
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Some(Cow::Borrowed(bytes)) => bytes,
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Some(Cow::Owned(bytes)) => bytes.as_slice(),
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None => return Ok(None),
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};
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CboRoaringBitmapLenCodec::bytes_decode_owned(bitmap_bytes)
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.map(Some)
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.map_err(heed::Error::Decoding)
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.map_err(Into::into)
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}
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fn get_value_from_keys<'v, K1, KC, DC>(
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txn: &'ctx RoTxn<'_>,
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cache_key: K1,
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@ -137,11 +171,15 @@ 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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pub fn word_docids(
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&mut self,
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universe: Option<&RoaringBitmap>,
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word: Word,
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) -> 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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let exact = self.get_db_exact_word_docids(universe, word)?;
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let tolerant = self.get_db_word_docids(universe, 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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@ -153,12 +191,16 @@ impl<'ctx> SearchContext<'ctx> {
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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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Word::Derived(word) => self.get_db_word_docids(universe, 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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fn get_db_word_docids(&mut self, word: Interned<String>) -> Result<Option<RoaringBitmap>> {
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fn get_db_word_docids(
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&mut self,
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universe: Option<&RoaringBitmap>,
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word: Interned<String>,
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) -> Result<Option<RoaringBitmap>> {
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match &self.restricted_fids {
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Some(restricted_fids) => {
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let interned = self.word_interner.get(word).as_str();
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@ -174,11 +216,12 @@ impl<'ctx> SearchContext<'ctx> {
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merge_cbo_roaring_bitmaps,
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)
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}
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None => DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
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None => 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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universe,
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self.index.word_docids.remap_data_type::<Bytes>(),
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),
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}
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@ -186,6 +229,7 @@ impl<'ctx> SearchContext<'ctx> {
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fn get_db_exact_word_docids(
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&mut self,
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universe: Option<&RoaringBitmap>,
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word: Interned<String>,
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) -> Result<Option<RoaringBitmap>> {
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match &self.restricted_fids {
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@ -203,21 +247,26 @@ impl<'ctx> SearchContext<'ctx> {
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merge_cbo_roaring_bitmaps,
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)
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}
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None => DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
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None => 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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universe,
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self.index.exact_word_docids.remap_data_type::<Bytes>(),
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),
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}
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}
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pub fn word_prefix_docids(&mut self, prefix: Word) -> Result<Option<RoaringBitmap>> {
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pub fn word_prefix_docids(
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&mut self,
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universe: Option<&RoaringBitmap>,
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prefix: Word,
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) -> 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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let exact = self.get_db_exact_word_prefix_docids(universe, prefix)?;
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let tolerant = self.get_db_word_prefix_docids(universe, 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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@ -229,13 +278,14 @@ impl<'ctx> SearchContext<'ctx> {
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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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Word::Derived(prefix) => self.get_db_word_prefix_docids(universe, 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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fn get_db_word_prefix_docids(
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&mut self,
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universe: Option<&RoaringBitmap>,
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prefix: Interned<String>,
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) -> Result<Option<RoaringBitmap>> {
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match &self.restricted_fids {
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@ -253,11 +303,12 @@ impl<'ctx> SearchContext<'ctx> {
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merge_cbo_roaring_bitmaps,
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)
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}
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None => DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
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None => 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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universe,
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self.index.word_prefix_docids.remap_data_type::<Bytes>(),
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),
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}
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@ -265,6 +316,7 @@ impl<'ctx> SearchContext<'ctx> {
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fn get_db_exact_word_prefix_docids(
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&mut self,
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universe: Option<&RoaringBitmap>,
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prefix: Interned<String>,
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) -> Result<Option<RoaringBitmap>> {
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match &self.restricted_fids {
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@ -282,11 +334,12 @@ impl<'ctx> SearchContext<'ctx> {
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merge_cbo_roaring_bitmaps,
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)
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}
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None => DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
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None => 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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universe,
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self.index.exact_word_prefix_docids.remap_data_type::<Bytes>(),
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),
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}
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@ -294,6 +347,7 @@ impl<'ctx> SearchContext<'ctx> {
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pub fn get_db_word_pair_proximity_docids(
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&mut self,
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universe: Option<&RoaringBitmap>,
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word1: Interned<String>,
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word2: Interned<String>,
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proximity: u8,
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@ -320,8 +374,8 @@ impl<'ctx> SearchContext<'ctx> {
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for fid in fids {
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// for each field, intersect left word bitmap and right word bitmap,
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// then merge the result in a global bitmap before storing it in the cache.
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let word1_docids = self.get_db_word_fid_docids(word1, fid)?;
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let word2_docids = self.get_db_word_fid_docids(word2, fid)?;
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let word1_docids = self.get_db_word_fid_docids(universe, word1, fid)?;
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let word2_docids = self.get_db_word_fid_docids(universe, word2, fid)?;
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if let (Some(word1_docids), Some(word2_docids)) =
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(word1_docids, word2_docids)
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{
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@ -341,7 +395,33 @@ impl<'ctx> SearchContext<'ctx> {
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Ok(docids)
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}
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ProximityPrecision::ByWord => DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
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ProximityPrecision::ByWord => 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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universe,
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self.index.word_pair_proximity_docids.remap_data_type::<Bytes>(),
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),
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}
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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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universe: Option<&RoaringBitmap>,
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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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match self.index.proximity_precision(self.txn)?.unwrap_or_default() {
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ProximityPrecision::ByAttribute => Ok(self
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.get_db_word_pair_proximity_docids(universe, word1, word2, proximity)?
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.map(|d| d.len())),
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ProximityPrecision::ByWord => DatabaseCache::get_value_length::<_, _>(
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self.txn,
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(proximity, word1, word2),
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&(
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@ -355,34 +435,9 @@ impl<'ctx> SearchContext<'ctx> {
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}
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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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match self.index.proximity_precision(self.txn)?.unwrap_or_default() {
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ProximityPrecision::ByAttribute => Ok(self
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.get_db_word_pair_proximity_docids(word1, word2, proximity)?
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.map(|d| d.len())),
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ProximityPrecision::ByWord => {
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DatabaseCache::get_value::<_, _, CboRoaringBitmapLenCodec>(
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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::<Bytes>(),
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)
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}
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}
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}
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pub fn get_db_word_prefix_pair_proximity_docids(
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&mut self,
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universe: Option<&RoaringBitmap>,
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word1: Interned<String>,
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prefix2: Interned<String>,
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mut proximity: u8,
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@ -409,8 +464,9 @@ impl<'ctx> SearchContext<'ctx> {
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// for each field, intersect left word bitmap and right word bitmap,
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// then merge the result in a global bitmap before storing it in the cache.
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for fid in fids {
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let word1_docids = self.get_db_word_fid_docids(word1, fid)?;
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let prefix2_docids = self.get_db_word_prefix_fid_docids(prefix2, fid)?;
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let word1_docids = self.get_db_word_fid_docids(universe, word1, fid)?;
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let prefix2_docids =
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self.get_db_word_prefix_fid_docids(universe, prefix2, fid)?;
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if let (Some(word1_docids), Some(prefix2_docids)) =
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(word1_docids, prefix2_docids)
|
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{
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@ -452,16 +508,18 @@ impl<'ctx> SearchContext<'ctx> {
|
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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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universe: Option<&RoaringBitmap>,
|
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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<RoaringBitmap>> {
|
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// only accept exact matches on reverted positions
|
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self.get_db_word_pair_proximity_docids(left_prefix, right, proximity)
|
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self.get_db_word_pair_proximity_docids(universe, left_prefix, right, proximity)
|
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}
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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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universe: Option<&RoaringBitmap>,
|
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word: Interned<String>,
|
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fid: u16,
|
||||
) -> Result<Option<RoaringBitmap>> {
|
||||
@ -470,17 +528,19 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
return Ok(None);
|
||||
}
|
||||
|
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DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
|
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DatabaseCache::get_value::<_, _>(
|
||||
self.txn,
|
||||
(word, fid),
|
||||
&(self.word_interner.get(word).as_str(), fid),
|
||||
&mut self.db_cache.word_fid_docids,
|
||||
universe,
|
||||
self.index.word_fid_docids.remap_data_type::<Bytes>(),
|
||||
)
|
||||
}
|
||||
|
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pub fn get_db_word_prefix_fid_docids(
|
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&mut self,
|
||||
universe: Option<&RoaringBitmap>,
|
||||
word_prefix: Interned<String>,
|
||||
fid: u16,
|
||||
) -> Result<Option<RoaringBitmap>> {
|
||||
@ -489,11 +549,12 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
return Ok(None);
|
||||
}
|
||||
|
||||
DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
|
||||
DatabaseCache::get_value::<_, _>(
|
||||
self.txn,
|
||||
(word_prefix, fid),
|
||||
&(self.word_interner.get(word_prefix).as_str(), fid),
|
||||
&mut self.db_cache.word_prefix_fid_docids,
|
||||
universe,
|
||||
self.index.word_prefix_fid_docids.remap_data_type::<Bytes>(),
|
||||
)
|
||||
}
|
||||
@ -554,28 +615,32 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
|
||||
pub fn get_db_word_position_docids(
|
||||
&mut self,
|
||||
universe: Option<&RoaringBitmap>,
|
||||
word: Interned<String>,
|
||||
position: u16,
|
||||
) -> Result<Option<RoaringBitmap>> {
|
||||
DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
|
||||
DatabaseCache::get_value::<_, _>(
|
||||
self.txn,
|
||||
(word, position),
|
||||
&(self.word_interner.get(word).as_str(), position),
|
||||
&mut self.db_cache.word_position_docids,
|
||||
universe,
|
||||
self.index.word_position_docids.remap_data_type::<Bytes>(),
|
||||
)
|
||||
}
|
||||
|
||||
pub fn get_db_word_prefix_position_docids(
|
||||
&mut self,
|
||||
universe: Option<&RoaringBitmap>,
|
||||
word_prefix: Interned<String>,
|
||||
position: u16,
|
||||
) -> Result<Option<RoaringBitmap>> {
|
||||
DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
|
||||
DatabaseCache::get_value::<_, _>(
|
||||
self.txn,
|
||||
(word_prefix, position),
|
||||
&(self.word_interner.get(word_prefix).as_str(), position),
|
||||
&mut self.db_cache.word_prefix_position_docids,
|
||||
universe,
|
||||
self.index.word_prefix_position_docids.remap_data_type::<Bytes>(),
|
||||
)
|
||||
}
|
||||
|
@ -1,3 +1,4 @@
|
||||
use heed::types::Bytes;
|
||||
use roaring::{MultiOps, RoaringBitmap};
|
||||
|
||||
use super::query_graph::QueryGraph;
|
||||
@ -5,7 +6,7 @@ use super::ranking_rules::{RankingRule, RankingRuleOutput};
|
||||
use crate::score_details::{self, ScoreDetails};
|
||||
use crate::search::new::query_graph::QueryNodeData;
|
||||
use crate::search::new::query_term::ExactTerm;
|
||||
use crate::{Result, SearchContext, SearchLogger};
|
||||
use crate::{CboRoaringBitmapCodec, Result, SearchContext, SearchLogger};
|
||||
|
||||
/// A ranking rule that produces 3 disjoint buckets:
|
||||
///
|
||||
@ -171,9 +172,9 @@ impl State {
|
||||
// Note: Since the position is stored bucketed in word_position_docids, for queries with a lot of
|
||||
// longer phrases we'll be losing on precision here.
|
||||
let bucketed_position = crate::bucketed_position(position + offset);
|
||||
let word_position_docids =
|
||||
ctx.get_db_word_position_docids(*word, bucketed_position)?.unwrap_or_default()
|
||||
& universe;
|
||||
let word_position_docids = ctx
|
||||
.get_db_word_position_docids(Some(universe), *word, bucketed_position)?
|
||||
.unwrap_or_default();
|
||||
candidates &= word_position_docids;
|
||||
if candidates.is_empty() {
|
||||
return Ok(State::Empty(query_graph.clone()));
|
||||
@ -192,26 +193,34 @@ impl State {
|
||||
let mut candidates_per_attribute = Vec::with_capacity(searchable_fields_ids.len());
|
||||
// then check that there exists at least one attribute that has all of the terms
|
||||
for fid in searchable_fields_ids {
|
||||
let mut intersection = MultiOps::intersection(
|
||||
let intersection = MultiOps::intersection(
|
||||
words_positions
|
||||
.iter()
|
||||
.flat_map(|(words, ..)| words.iter())
|
||||
// ignore stop words words in phrases
|
||||
.flatten()
|
||||
.map(|word| -> Result<_> {
|
||||
Ok(ctx.get_db_word_fid_docids(*word, fid)?.unwrap_or_default())
|
||||
Ok(ctx
|
||||
.get_db_word_fid_docids(Some(&candidates), *word, fid)?
|
||||
.unwrap_or_default())
|
||||
}),
|
||||
)?;
|
||||
intersection &= &candidates;
|
||||
if !intersection.is_empty() {
|
||||
// Although not really worth it in terms of performance,
|
||||
// if would be good to put this in cache for the sake of consistency
|
||||
let candidates_with_exact_word_count = if count_all_positions < u8::MAX as usize {
|
||||
ctx.index
|
||||
let bitmap_bytes = ctx
|
||||
.index
|
||||
.field_id_word_count_docids
|
||||
.get(ctx.txn, &(fid, count_all_positions as u8))?
|
||||
.unwrap_or_default()
|
||||
& universe
|
||||
.remap_data_type::<Bytes>()
|
||||
.get(ctx.txn, &(fid, count_all_positions as u8))?;
|
||||
|
||||
match bitmap_bytes {
|
||||
Some(bytes) => {
|
||||
CboRoaringBitmapCodec::intersection_with_serialized(bytes, universe)?
|
||||
}
|
||||
None => RoaringBitmap::default(),
|
||||
}
|
||||
} else {
|
||||
RoaringBitmap::default()
|
||||
};
|
||||
@ -234,6 +243,8 @@ impl State {
|
||||
let (state, output) = match state {
|
||||
State::Uninitialized => (state, None),
|
||||
State::ExactAttribute(query_graph, candidates_per_attribute) => {
|
||||
// TODO it can be much faster to do the intersections before the unions...
|
||||
// or maybe the candidates_per_attribute are not containing anything outside universe
|
||||
let mut candidates = MultiOps::union(candidates_per_attribute.iter().map(
|
||||
|FieldCandidates { start_with_exact, exact_word_count }| {
|
||||
start_with_exact & exact_word_count
|
||||
@ -252,6 +263,8 @@ impl State {
|
||||
)
|
||||
}
|
||||
State::AttributeStarts(query_graph, candidates_per_attribute) => {
|
||||
// TODO it can be much faster to do the intersections before the unions...
|
||||
// or maybe the candidates_per_attribute are not containing anything outside universe
|
||||
let mut candidates = MultiOps::union(candidates_per_attribute.into_iter().map(
|
||||
|FieldCandidates { mut start_with_exact, exact_word_count }| {
|
||||
start_with_exact -= exact_word_count;
|
||||
|
@ -232,11 +232,12 @@ fn resolve_universe(
|
||||
#[tracing::instrument(level = "trace", skip_all, target = "search::query")]
|
||||
fn resolve_negative_words(
|
||||
ctx: &mut SearchContext<'_>,
|
||||
universe: Option<&RoaringBitmap>,
|
||||
negative_words: &[Word],
|
||||
) -> Result<RoaringBitmap> {
|
||||
let mut negative_bitmap = RoaringBitmap::new();
|
||||
for &word in negative_words {
|
||||
if let Some(bitmap) = ctx.word_docids(word)? {
|
||||
if let Some(bitmap) = ctx.word_docids(universe, word)? {
|
||||
negative_bitmap |= bitmap;
|
||||
}
|
||||
}
|
||||
@ -686,7 +687,7 @@ pub fn execute_search(
|
||||
located_query_terms_from_tokens(ctx, tokens, words_limit)?;
|
||||
used_negative_operator = !negative_words.is_empty() || !negative_phrases.is_empty();
|
||||
|
||||
let ignored_documents = resolve_negative_words(ctx, &negative_words)?;
|
||||
let ignored_documents = resolve_negative_words(ctx, Some(&universe), &negative_words)?;
|
||||
let ignored_phrases = resolve_negative_phrases(ctx, &negative_phrases)?;
|
||||
|
||||
universe -= ignored_documents;
|
||||
|
@ -302,7 +302,7 @@ impl QueryGraph {
|
||||
for (_, node) in self.nodes.iter() {
|
||||
match &node.data {
|
||||
QueryNodeData::Term(t) => {
|
||||
let docids = compute_query_term_subset_docids(ctx, &t.term_subset)?;
|
||||
let docids = compute_query_term_subset_docids(ctx, None, &t.term_subset)?;
|
||||
for id in t.term_ids.clone() {
|
||||
term_docids
|
||||
.entry(id)
|
||||
|
@ -417,7 +417,7 @@ 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(frequency) = ctx.get_db_word_pair_proximity_docids_len(left, right, 1)? {
|
||||
if let Some(frequency) = ctx.get_db_word_pair_proximity_docids_len(None, left, right, 1)? {
|
||||
if best.map_or(true, |(old, _, _)| frequency > old) {
|
||||
best = Some((frequency, left, right));
|
||||
}
|
||||
|
@ -26,18 +26,15 @@ fn compute_docids(
|
||||
} else {
|
||||
return Ok(Default::default());
|
||||
};
|
||||
let mut candidates = match exact_term {
|
||||
ExactTerm::Phrase(phrase) => ctx.get_phrase_docids(phrase)?.clone(),
|
||||
|
||||
let candidates = match exact_term {
|
||||
// TODO I move the intersection here
|
||||
ExactTerm::Phrase(phrase) => ctx.get_phrase_docids(phrase)? & universe,
|
||||
ExactTerm::Word(word) => {
|
||||
if let Some(word_candidates) = ctx.word_docids(Word::Original(word))? {
|
||||
word_candidates
|
||||
} else {
|
||||
return Ok(Default::default());
|
||||
}
|
||||
ctx.word_docids(Some(universe), Word::Original(word))?.unwrap_or_default()
|
||||
}
|
||||
};
|
||||
|
||||
candidates &= universe;
|
||||
Ok(candidates)
|
||||
}
|
||||
|
||||
@ -59,7 +56,7 @@ impl RankingRuleGraphTrait for ExactnessGraph {
|
||||
}
|
||||
ExactnessCondition::Any(dest_node) => {
|
||||
let docids =
|
||||
universe & compute_query_term_subset_docids(ctx, &dest_node.term_subset)?;
|
||||
compute_query_term_subset_docids(ctx, Some(universe), &dest_node.term_subset)?;
|
||||
(docids, dest_node.clone())
|
||||
}
|
||||
};
|
||||
|
@ -29,10 +29,12 @@ impl RankingRuleGraphTrait for FidGraph {
|
||||
let FidCondition { term, .. } = condition;
|
||||
|
||||
let docids = if let Some(fid) = condition.fid {
|
||||
// maybe compute_query_term_subset_docids_within_field_id should accept a universe as argument
|
||||
let docids =
|
||||
compute_query_term_subset_docids_within_field_id(ctx, &term.term_subset, fid)?;
|
||||
docids & universe
|
||||
compute_query_term_subset_docids_within_field_id(
|
||||
ctx,
|
||||
Some(universe),
|
||||
&term.term_subset,
|
||||
fid,
|
||||
)?
|
||||
} else {
|
||||
RoaringBitmap::new()
|
||||
};
|
||||
|
@ -28,14 +28,15 @@ impl RankingRuleGraphTrait for PositionGraph {
|
||||
) -> Result<ComputedCondition> {
|
||||
let PositionCondition { term, positions } = condition;
|
||||
let mut docids = RoaringBitmap::new();
|
||||
// TODO use MultiOps to do the big union
|
||||
for position in positions {
|
||||
// maybe compute_query_term_subset_docids_within_position should accept a universe as argument
|
||||
docids |= universe
|
||||
& compute_query_term_subset_docids_within_position(
|
||||
ctx,
|
||||
&term.term_subset,
|
||||
*position,
|
||||
)?;
|
||||
docids |= compute_query_term_subset_docids_within_position(
|
||||
ctx,
|
||||
Some(universe),
|
||||
&term.term_subset,
|
||||
*position,
|
||||
)?;
|
||||
}
|
||||
Ok(ComputedCondition {
|
||||
docids,
|
||||
|
@ -22,10 +22,8 @@ pub fn compute_docids(
|
||||
(left_term, right_term, *cost)
|
||||
}
|
||||
ProximityCondition::Term { term } => {
|
||||
let mut docids = compute_query_term_subset_docids(ctx, &term.term_subset)?;
|
||||
docids &= universe;
|
||||
return Ok(ComputedCondition {
|
||||
docids,
|
||||
docids: compute_query_term_subset_docids(ctx, Some(universe), &term.term_subset)?,
|
||||
universe_len: universe.len(),
|
||||
start_term_subset: None,
|
||||
end_term_subset: term.clone(),
|
||||
@ -79,8 +77,8 @@ pub fn compute_docids(
|
||||
if universe.is_disjoint(ctx.get_phrase_docids(left_phrase)?) {
|
||||
continue;
|
||||
}
|
||||
} else if let Some(left_word_docids) = ctx.word_docids(left_word)? {
|
||||
if universe.is_disjoint(&left_word_docids) {
|
||||
} else if let Some(left_word_docids) = ctx.word_docids(Some(universe), left_word)? {
|
||||
if left_word_docids.is_empty() {
|
||||
continue;
|
||||
}
|
||||
}
|
||||
@ -125,6 +123,9 @@ fn compute_prefix_edges(
|
||||
|
||||
let mut universe = universe.clone();
|
||||
if let Some(phrase) = left_phrase {
|
||||
// TODO we can clearly give the universe to this method
|
||||
// Unfortunately, it is deserializing/computing stuff and
|
||||
// keeping the result as a materialized bitmap.
|
||||
let phrase_docids = ctx.get_phrase_docids(phrase)?;
|
||||
if !phrase_docids.is_empty() {
|
||||
used_left_phrases.insert(phrase);
|
||||
@ -135,10 +136,12 @@ 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 & new_docids;
|
||||
if let Some(new_docids) = ctx.get_db_word_prefix_pair_proximity_docids(
|
||||
Some(&universe),
|
||||
left_word,
|
||||
right_prefix,
|
||||
forward_proximity,
|
||||
)? {
|
||||
if !new_docids.is_empty() {
|
||||
used_left_words.insert(left_word);
|
||||
used_right_prefix.insert(right_prefix);
|
||||
@ -149,11 +152,11 @@ fn compute_prefix_edges(
|
||||
// No swapping when computing the proximity between a phrase and a word
|
||||
if left_phrase.is_none() {
|
||||
if let Some(new_docids) = ctx.get_db_prefix_word_pair_proximity_docids(
|
||||
Some(&universe),
|
||||
right_prefix,
|
||||
left_word,
|
||||
backward_proximity,
|
||||
)? {
|
||||
let new_docids = &universe & new_docids;
|
||||
if !new_docids.is_empty() {
|
||||
used_left_words.insert(left_word);
|
||||
used_right_prefix.insert(right_prefix);
|
||||
@ -179,26 +182,26 @@ fn compute_non_prefix_edges(
|
||||
let mut universe = universe.clone();
|
||||
|
||||
for phrase in left_phrase.iter().chain(right_phrase.iter()).copied() {
|
||||
let phrase_docids = ctx.get_phrase_docids(phrase)?;
|
||||
universe &= phrase_docids;
|
||||
universe &= ctx.get_phrase_docids(phrase)?;
|
||||
if universe.is_empty() {
|
||||
return Ok(());
|
||||
}
|
||||
}
|
||||
|
||||
if let Some(new_docids) =
|
||||
ctx.get_db_word_pair_proximity_docids(word1, word2, forward_proximity)?
|
||||
ctx.get_db_word_pair_proximity_docids(Some(&universe), word1, word2, forward_proximity)?
|
||||
{
|
||||
let new_docids = &universe & new_docids;
|
||||
if !new_docids.is_empty() {
|
||||
*docids |= new_docids;
|
||||
}
|
||||
}
|
||||
if backward_proximity >= 1 && left_phrase.is_none() && right_phrase.is_none() {
|
||||
if let Some(new_docids) =
|
||||
ctx.get_db_word_pair_proximity_docids(word2, word1, backward_proximity)?
|
||||
{
|
||||
let new_docids = &universe & new_docids;
|
||||
if let Some(new_docids) = ctx.get_db_word_pair_proximity_docids(
|
||||
Some(&universe),
|
||||
word2,
|
||||
word1,
|
||||
backward_proximity,
|
||||
)? {
|
||||
if !new_docids.is_empty() {
|
||||
*docids |= new_docids;
|
||||
}
|
||||
|
@ -27,8 +27,7 @@ impl RankingRuleGraphTrait for TypoGraph {
|
||||
) -> Result<ComputedCondition> {
|
||||
let TypoCondition { term, .. } = condition;
|
||||
// maybe compute_query_term_subset_docids should accept a universe as argument
|
||||
let mut docids = compute_query_term_subset_docids(ctx, &term.term_subset)?;
|
||||
docids &= universe;
|
||||
let docids = compute_query_term_subset_docids(ctx, Some(universe), &term.term_subset)?;
|
||||
|
||||
Ok(ComputedCondition {
|
||||
docids,
|
||||
|
@ -26,8 +26,7 @@ impl RankingRuleGraphTrait for WordsGraph {
|
||||
) -> Result<ComputedCondition> {
|
||||
let WordsCondition { term, .. } = condition;
|
||||
// maybe compute_query_term_subset_docids should accept a universe as argument
|
||||
let mut docids = compute_query_term_subset_docids(ctx, &term.term_subset)?;
|
||||
docids &= universe;
|
||||
let docids = compute_query_term_subset_docids(ctx, Some(universe), &term.term_subset)?;
|
||||
|
||||
Ok(ComputedCondition {
|
||||
docids,
|
||||
|
@ -24,6 +24,7 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
return Ok(&self.phrase_docids.cache[&phrase]);
|
||||
};
|
||||
let docids = compute_phrase_docids(self, phrase)?;
|
||||
// TODO can we improve that? Because there is an issue, we keep that in cache...
|
||||
let _ = self.phrase_docids.cache.insert(phrase, docids);
|
||||
let docids = &self.phrase_docids.cache[&phrase];
|
||||
Ok(docids)
|
||||
@ -31,11 +32,13 @@ impl<'ctx> SearchContext<'ctx> {
|
||||
}
|
||||
pub fn compute_query_term_subset_docids(
|
||||
ctx: &mut SearchContext<'_>,
|
||||
universe: Option<&RoaringBitmap>,
|
||||
term: &QueryTermSubset,
|
||||
) -> Result<RoaringBitmap> {
|
||||
let mut docids = RoaringBitmap::new();
|
||||
// TODO use the MultiOps trait to do large intersections
|
||||
for word in term.all_single_words_except_prefix_db(ctx)? {
|
||||
if let Some(word_docids) = ctx.word_docids(word)? {
|
||||
if let Some(word_docids) = ctx.word_docids(universe, word)? {
|
||||
docids |= word_docids;
|
||||
}
|
||||
}
|
||||
@ -44,22 +47,26 @@ pub fn compute_query_term_subset_docids(
|
||||
}
|
||||
|
||||
if let Some(prefix) = term.use_prefix_db(ctx) {
|
||||
if let Some(prefix_docids) = ctx.word_prefix_docids(prefix)? {
|
||||
if let Some(prefix_docids) = ctx.word_prefix_docids(universe, prefix)? {
|
||||
docids |= prefix_docids;
|
||||
}
|
||||
}
|
||||
|
||||
Ok(docids)
|
||||
match universe {
|
||||
Some(universe) => Ok(docids & universe),
|
||||
None => Ok(docids),
|
||||
}
|
||||
}
|
||||
|
||||
pub fn compute_query_term_subset_docids_within_field_id(
|
||||
ctx: &mut SearchContext<'_>,
|
||||
universe: Option<&RoaringBitmap>,
|
||||
term: &QueryTermSubset,
|
||||
fid: u16,
|
||||
) -> Result<RoaringBitmap> {
|
||||
let mut docids = RoaringBitmap::new();
|
||||
for word in term.all_single_words_except_prefix_db(ctx)? {
|
||||
if let Some(word_fid_docids) = ctx.get_db_word_fid_docids(word.interned(), fid)? {
|
||||
if let Some(word_fid_docids) = ctx.get_db_word_fid_docids(universe, word.interned(), fid)? {
|
||||
docids |= word_fid_docids;
|
||||
}
|
||||
}
|
||||
@ -68,7 +75,7 @@ pub fn compute_query_term_subset_docids_within_field_id(
|
||||
// There may be false positives when resolving a phrase, so we're not
|
||||
// guaranteed that all of its words are within a single fid.
|
||||
if let Some(word) = phrase.words(ctx).iter().flatten().next() {
|
||||
if let Some(word_fid_docids) = ctx.get_db_word_fid_docids(*word, fid)? {
|
||||
if let Some(word_fid_docids) = ctx.get_db_word_fid_docids(universe, *word, fid)? {
|
||||
docids |= ctx.get_phrase_docids(phrase)? & word_fid_docids;
|
||||
}
|
||||
}
|
||||
@ -76,7 +83,7 @@ pub fn compute_query_term_subset_docids_within_field_id(
|
||||
|
||||
if let Some(word_prefix) = term.use_prefix_db(ctx) {
|
||||
if let Some(word_fid_docids) =
|
||||
ctx.get_db_word_prefix_fid_docids(word_prefix.interned(), fid)?
|
||||
ctx.get_db_word_prefix_fid_docids(universe, word_prefix.interned(), fid)?
|
||||
{
|
||||
docids |= word_fid_docids;
|
||||
}
|
||||
@ -87,13 +94,14 @@ pub fn compute_query_term_subset_docids_within_field_id(
|
||||
|
||||
pub fn compute_query_term_subset_docids_within_position(
|
||||
ctx: &mut SearchContext<'_>,
|
||||
universe: Option<&RoaringBitmap>,
|
||||
term: &QueryTermSubset,
|
||||
position: u16,
|
||||
) -> Result<RoaringBitmap> {
|
||||
let mut docids = RoaringBitmap::new();
|
||||
for word in term.all_single_words_except_prefix_db(ctx)? {
|
||||
if let Some(word_position_docids) =
|
||||
ctx.get_db_word_position_docids(word.interned(), position)?
|
||||
ctx.get_db_word_position_docids(universe, word.interned(), position)?
|
||||
{
|
||||
docids |= word_position_docids;
|
||||
}
|
||||
@ -103,15 +111,17 @@ pub fn compute_query_term_subset_docids_within_position(
|
||||
// It's difficult to know the expected position of the words in the phrase,
|
||||
// so instead we just check the first one.
|
||||
if let Some(word) = phrase.words(ctx).iter().flatten().next() {
|
||||
if let Some(word_position_docids) = ctx.get_db_word_position_docids(*word, position)? {
|
||||
docids |= ctx.get_phrase_docids(phrase)? & word_position_docids
|
||||
if let Some(word_position_docids) =
|
||||
ctx.get_db_word_position_docids(universe, *word, position)?
|
||||
{
|
||||
docids |= ctx.get_phrase_docids(phrase)? & word_position_docids;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if let Some(word_prefix) = term.use_prefix_db(ctx) {
|
||||
if let Some(word_position_docids) =
|
||||
ctx.get_db_word_prefix_position_docids(word_prefix.interned(), position)?
|
||||
ctx.get_db_word_prefix_position_docids(universe, word_prefix.interned(), position)?
|
||||
{
|
||||
docids |= word_position_docids;
|
||||
}
|
||||
@ -147,10 +157,7 @@ pub fn compute_query_graph_docids(
|
||||
term_subset,
|
||||
positions: _,
|
||||
term_ids: _,
|
||||
}) => {
|
||||
let node_docids = compute_query_term_subset_docids(ctx, term_subset)?;
|
||||
predecessors_docids & node_docids
|
||||
}
|
||||
}) => compute_query_term_subset_docids(ctx, Some(&predecessors_docids), term_subset)?,
|
||||
QueryNodeData::Deleted => {
|
||||
panic!()
|
||||
}
|
||||
@ -188,7 +195,7 @@ pub fn compute_phrase_docids(
|
||||
}
|
||||
let mut candidates = RoaringBitmap::new();
|
||||
for word in words.iter().flatten().copied() {
|
||||
if let Some(word_docids) = ctx.word_docids(Word::Original(word))? {
|
||||
if let Some(word_docids) = ctx.word_docids(None, Word::Original(word))? {
|
||||
candidates |= word_docids;
|
||||
} else {
|
||||
return Ok(RoaringBitmap::new());
|
||||
@ -212,7 +219,7 @@ pub fn compute_phrase_docids(
|
||||
.filter_map(|(index, word)| word.as_ref().map(|word| (index, word)))
|
||||
{
|
||||
if dist == 0 {
|
||||
match ctx.get_db_word_pair_proximity_docids(s1, s2, 1)? {
|
||||
match ctx.get_db_word_pair_proximity_docids(None, s1, s2, 1)? {
|
||||
Some(m) => bitmaps.push(m),
|
||||
// If there are no documents for this pair, there will be no
|
||||
// results for the phrase query.
|
||||
@ -222,7 +229,7 @@ pub fn compute_phrase_docids(
|
||||
let mut bitmap = RoaringBitmap::new();
|
||||
for dist in 0..=dist {
|
||||
if let Some(m) =
|
||||
ctx.get_db_word_pair_proximity_docids(s1, s2, dist as u8 + 1)?
|
||||
ctx.get_db_word_pair_proximity_docids(None, s1, s2, dist as u8 + 1)?
|
||||
{
|
||||
bitmap |= m;
|
||||
}
|
||||
@ -239,6 +246,7 @@ pub fn compute_phrase_docids(
|
||||
// We sort the bitmaps so that we perform the small intersections first, which is faster.
|
||||
bitmaps.sort_unstable_by_key(|a| a.len());
|
||||
|
||||
// TODO use MultiOps intersection which and remove the above sort
|
||||
for bitmap in bitmaps {
|
||||
candidates &= bitmap;
|
||||
|
||||
|
Loading…
x
Reference in New Issue
Block a user