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https://github.com/meilisearch/MeiliSearch
synced 2024-11-11 23:48:56 +01:00
Change the naming of attributeScale and wordScale into byAttribute and byWord
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35e1981488
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6425996e36
@ -703,23 +703,23 @@ impl From<RankingRuleView> for Criterion {
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#[serde(deny_unknown_fields, rename_all = "camelCase")]
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#[deserr(error = DeserrJsonError<InvalidSettingsProximityPrecision>, rename_all = camelCase, deny_unknown_fields)]
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pub enum ProximityPrecisionView {
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WordScale,
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AttributeScale,
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ByWord,
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ByAttribute,
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}
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impl From<ProximityPrecision> for ProximityPrecisionView {
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fn from(value: ProximityPrecision) -> Self {
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match value {
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ProximityPrecision::WordScale => ProximityPrecisionView::WordScale,
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ProximityPrecision::AttributeScale => ProximityPrecisionView::AttributeScale,
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ProximityPrecision::ByWord => ProximityPrecisionView::ByWord,
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ProximityPrecision::ByAttribute => ProximityPrecisionView::ByAttribute,
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}
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}
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}
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impl From<ProximityPrecisionView> for ProximityPrecision {
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fn from(value: ProximityPrecisionView) -> Self {
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match value {
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ProximityPrecisionView::WordScale => ProximityPrecision::WordScale,
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ProximityPrecisionView::AttributeScale => ProximityPrecision::AttributeScale,
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ProximityPrecisionView::ByWord => ProximityPrecision::ByWord,
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ProximityPrecisionView::ByAttribute => ProximityPrecision::ByAttribute,
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}
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}
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}
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Binary file not shown.
@ -1877,7 +1877,7 @@ async fn import_dump_v6_containing_experimental_features() {
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"dictionary": [],
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"synonyms": {},
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"distinctAttribute": null,
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"proximityPrecision": "attributeScale",
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"proximityPrecision": "byAttribute",
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"typoTolerance": {
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"enabled": true,
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"minWordSizeForTypos": {
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@ -34,7 +34,7 @@ async fn attribute_scale_search() {
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let (response, code) = index
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.update_settings(json!({
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"proximityPrecision": "attributeScale",
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"proximityPrecision": "byAttribute",
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"rankingRules": ["words", "typo", "proximity"],
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}))
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.await;
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@ -107,7 +107,7 @@ async fn attribute_scale_phrase_search() {
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let (_response, _code) = index
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.update_settings(json!({
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"proximityPrecision": "attributeScale",
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"proximityPrecision": "byAttribute",
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"rankingRules": ["words", "typo", "proximity"],
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}))
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.await;
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@ -176,7 +176,7 @@ async fn word_scale_set_and_reset() {
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// Set and reset the setting ensuring the swap between the 2 settings is applied.
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let (_response, _code) = index
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.update_settings(json!({
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"proximityPrecision": "attributeScale",
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"proximityPrecision": "byAttribute",
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"rankingRules": ["words", "typo", "proximity"],
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}))
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.await;
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@ -184,7 +184,7 @@ async fn word_scale_set_and_reset() {
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let (_response, _code) = index
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.update_settings(json!({
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"proximityPrecision": "wordScale",
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"proximityPrecision": "byWord",
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"rankingRules": ["words", "typo", "proximity"],
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}))
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.await;
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@ -290,7 +290,7 @@ async fn attribute_scale_default_ranking_rules() {
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let (response, code) = index
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.update_settings(json!({
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"proximityPrecision": "attributeScale"
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"proximityPrecision": "byAttribute"
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}))
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.await;
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assert_eq!("202", code.as_str(), "{:?}", response);
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@ -32,6 +32,6 @@ pub fn path_proximity(path: &[Position]) -> u32 {
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#[serde(rename_all = "camelCase")]
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pub enum ProximityPrecision {
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#[default]
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WordScale,
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AttributeScale,
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ByWord,
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ByAttribute,
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}
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@ -299,9 +299,9 @@ impl<'ctx> SearchContext<'ctx> {
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proximity: u8,
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) -> Result<Option<RoaringBitmap>> {
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match self.index.proximity_precision(self.txn)?.unwrap_or_default() {
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ProximityPrecision::AttributeScale => {
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ProximityPrecision::ByAttribute => {
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// Force proximity to 0 because:
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// in AttributeScale, there are only 2 possible distances:
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// in ByAttribute, there are only 2 possible distances:
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// 1. words in same attribute: in that the DB contains (0, word1, word2)
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// 2. words in different attributes: no DB entry for these two words.
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let proximity = 0;
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@ -345,19 +345,17 @@ impl<'ctx> SearchContext<'ctx> {
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Ok(docids)
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}
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ProximityPrecision::WordScale => {
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DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
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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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ProximityPrecision::ByWord => DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
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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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@ -368,10 +366,10 @@ impl<'ctx> SearchContext<'ctx> {
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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::AttributeScale => Ok(self
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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::WordScale => {
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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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@ -394,9 +392,9 @@ impl<'ctx> SearchContext<'ctx> {
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mut proximity: u8,
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) -> Result<Option<RoaringBitmap>> {
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let proximity_precision = self.index.proximity_precision(self.txn)?.unwrap_or_default();
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if proximity_precision == ProximityPrecision::AttributeScale {
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if proximity_precision == ProximityPrecision::ByAttribute {
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// Force proximity to 0 because:
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// in AttributeScale, there are only 2 possible distances:
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// in ByAttribute, there are only 2 possible distances:
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// 1. words in same attribute: in that the DB contains (0, word1, word2)
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// 2. words in different attributes: no DB entry for these two words.
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proximity = 0;
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@ -408,7 +406,7 @@ impl<'ctx> SearchContext<'ctx> {
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docids.clone()
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} else {
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let prefix_docids = match proximity_precision {
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ProximityPrecision::AttributeScale => {
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ProximityPrecision::ByAttribute => {
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// Compute the distance at the attribute level and store it in the cache.
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let fids = if let Some(fids) = self.index.searchable_fields_ids(self.txn)? {
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fids
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@ -429,7 +427,7 @@ impl<'ctx> SearchContext<'ctx> {
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}
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prefix_docids
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}
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ProximityPrecision::WordScale => {
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ProximityPrecision::ByWord => {
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// compute docids using prefix iter and store the result in the cache.
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let key = U8StrStrCodec::bytes_encode(&(
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proximity,
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@ -152,7 +152,7 @@ pub(crate) fn data_from_obkv_documents(
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});
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}
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if proximity_precision == ProximityPrecision::WordScale {
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if proximity_precision == ProximityPrecision::ByWord {
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spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
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docid_word_positions_chunks.clone(),
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indexer,
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