Change the naming of attributeScale and wordScale into byAttribute and byWord

meilisearch-types/src/settings.rs

@@ -703,23 +703,23 @@ impl From<RankingRuleView> for Criterion {
 #[serde(deny_unknown_fields, rename_all = "camelCase")]
 #[deserr(error = DeserrJsonError<InvalidSettingsProximityPrecision>, rename_all = camelCase, deny_unknown_fields)]
 pub enum ProximityPrecisionView {
-    WordScale,
-    AttributeScale,
+    ByWord,
+    ByAttribute,
 }
 
 impl From<ProximityPrecision> for ProximityPrecisionView {
     fn from(value: ProximityPrecision) -> Self {
         match value {
-            ProximityPrecision::WordScale => ProximityPrecisionView::WordScale,
-            ProximityPrecision::AttributeScale => ProximityPrecisionView::AttributeScale,
+            ProximityPrecision::ByWord => ProximityPrecisionView::ByWord,
+            ProximityPrecision::ByAttribute => ProximityPrecisionView::ByAttribute,
         }
     }
 }
 impl From<ProximityPrecisionView> for ProximityPrecision {
     fn from(value: ProximityPrecisionView) -> Self {
         match value {
-            ProximityPrecisionView::WordScale => ProximityPrecision::WordScale,
-            ProximityPrecisionView::AttributeScale => ProximityPrecision::AttributeScale,
+            ProximityPrecisionView::ByWord => ProximityPrecision::ByWord,
+            ProximityPrecisionView::ByAttribute => ProximityPrecision::ByAttribute,
         }
     }
 }

meilisearch/tests/dumps/mod.rs

@@ -1877,7 +1877,7 @@ async fn import_dump_v6_containing_experimental_features() {
       "dictionary": [],
       "synonyms": {},
       "distinctAttribute": null,
-      "proximityPrecision": "attributeScale",
+      "proximityPrecision": "byAttribute",
       "typoTolerance": {
         "enabled": true,
         "minWordSizeForTypos": {

meilisearch/tests/settings/proximity_settings.rs

@@ -34,7 +34,7 @@ async fn attribute_scale_search() {
 
     let (response, code) = index
         .update_settings(json!({
-            "proximityPrecision": "attributeScale",
+            "proximityPrecision": "byAttribute",
             "rankingRules": ["words", "typo", "proximity"],
         }))
         .await;
@@ -107,7 +107,7 @@ async fn attribute_scale_phrase_search() {
 
     let (_response, _code) = index
         .update_settings(json!({
-            "proximityPrecision": "attributeScale",
+            "proximityPrecision": "byAttribute",
             "rankingRules": ["words", "typo", "proximity"],
         }))
         .await;
@@ -176,7 +176,7 @@ async fn word_scale_set_and_reset() {
     // Set and reset the setting ensuring the swap between the 2 settings is applied.
     let (_response, _code) = index
         .update_settings(json!({
-            "proximityPrecision": "attributeScale",
+            "proximityPrecision": "byAttribute",
             "rankingRules": ["words", "typo", "proximity"],
         }))
         .await;
@@ -184,7 +184,7 @@ async fn word_scale_set_and_reset() {
 
     let (_response, _code) = index
         .update_settings(json!({
-            "proximityPrecision": "wordScale",
+            "proximityPrecision": "byWord",
             "rankingRules": ["words", "typo", "proximity"],
         }))
         .await;
@@ -290,7 +290,7 @@ async fn attribute_scale_default_ranking_rules() {
 
     let (response, code) = index
         .update_settings(json!({
-            "proximityPrecision": "attributeScale"
+            "proximityPrecision": "byAttribute"
         }))
         .await;
     assert_eq!("202", code.as_str(), "{:?}", response);

milli/src/proximity.rs

@@ -32,6 +32,6 @@ pub fn path_proximity(path: &[Position]) -> u32 {
 #[serde(rename_all = "camelCase")]
 pub enum ProximityPrecision {
     #[default]
-    WordScale,
-    AttributeScale,
+    ByWord,
+    ByAttribute,
 }

milli/src/search/new/db_cache.rs

@@ -299,9 +299,9 @@ impl<'ctx> SearchContext<'ctx> {
         proximity: u8,
     ) -> Result<Option<RoaringBitmap>> {
         match self.index.proximity_precision(self.txn)?.unwrap_or_default() {
-            ProximityPrecision::AttributeScale => {
+            ProximityPrecision::ByAttribute => {
                 // Force proximity to 0 because:
-                // in AttributeScale, there are only 2 possible distances:
+                // in ByAttribute, there are only 2 possible distances:
                 // 1. words in same attribute: in that the DB contains (0, word1, word2)
                 // 2. words in different attributes: no DB entry for these two words.
                 let proximity = 0;
@@ -345,8 +345,7 @@ impl<'ctx> SearchContext<'ctx> {
 
                 Ok(docids)
             }
-            ProximityPrecision::WordScale => {
-                DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
+            ProximityPrecision::ByWord => DatabaseCache::get_value::<_, _, CboRoaringBitmapCodec>(
                 self.txn,
                 (proximity, word1, word2),
                 &(
@@ -356,8 +355,7 @@ impl<'ctx> SearchContext<'ctx> {
                 ),
                 &mut self.db_cache.word_pair_proximity_docids,
                 self.index.word_pair_proximity_docids.remap_data_type::<Bytes>(),
-                )
-            }
+            ),
         }
     }
 
@@ -368,10 +366,10 @@ impl<'ctx> SearchContext<'ctx> {
         proximity: u8,
     ) -> Result<Option<u64>> {
         match self.index.proximity_precision(self.txn)?.unwrap_or_default() {
-            ProximityPrecision::AttributeScale => Ok(self
+            ProximityPrecision::ByAttribute => Ok(self
                 .get_db_word_pair_proximity_docids(word1, word2, proximity)?
                 .map(|d| d.len())),
-            ProximityPrecision::WordScale => {
+            ProximityPrecision::ByWord => {
                 DatabaseCache::get_value::<_, _, CboRoaringBitmapLenCodec>(
                     self.txn,
                     (proximity, word1, word2),
@@ -394,9 +392,9 @@ impl<'ctx> SearchContext<'ctx> {
         mut proximity: u8,
     ) -> Result<Option<RoaringBitmap>> {
         let proximity_precision = self.index.proximity_precision(self.txn)?.unwrap_or_default();
-        if proximity_precision == ProximityPrecision::AttributeScale {
+        if proximity_precision == ProximityPrecision::ByAttribute {
             // Force proximity to 0 because:
-            // in AttributeScale, there are only 2 possible distances:
+            // in ByAttribute, there are only 2 possible distances:
             // 1. words in same attribute: in that the DB contains (0, word1, word2)
             // 2. words in different attributes: no DB entry for these two words.
             proximity = 0;
@@ -408,7 +406,7 @@ impl<'ctx> SearchContext<'ctx> {
             docids.clone()
         } else {
             let prefix_docids = match proximity_precision {
-                ProximityPrecision::AttributeScale => {
+                ProximityPrecision::ByAttribute => {
                     // Compute the distance at the attribute level and store it in the cache.
                     let fids = if let Some(fids) = self.index.searchable_fields_ids(self.txn)? {
                         fids
@@ -429,7 +427,7 @@ impl<'ctx> SearchContext<'ctx> {
                     }
                     prefix_docids
                 }
-                ProximityPrecision::WordScale => {
+                ProximityPrecision::ByWord => {
                     // compute docids using prefix iter and store the result in the cache.
                     let key = U8StrStrCodec::bytes_encode(&(
                         proximity,

milli/src/update/index_documents/extract/mod.rs

@@ -152,7 +152,7 @@ pub(crate) fn data_from_obkv_documents(
         });
     }
 
-    if proximity_precision == ProximityPrecision::WordScale {
+    if proximity_precision == ProximityPrecision::ByWord {
         spawn_extraction_task::<_, _, Vec<grenad::Reader<BufReader<File>>>>(
             docid_word_positions_chunks.clone(),
             indexer,