From 8926872132f8e664d3a886e19814e8cc014f8250 Mon Sep 17 00:00:00 2001
From: Junqiu Lei <junqiu@amazon.com>
Date: Wed, 17 Apr 2024 13:25:42 -0700
Subject: [PATCH] Update name with default

Signed-off-by: Junqiu Lei <junqiu@amazon.com>
---
 .../opensearch/knn/common/KNNConstants.java   |  2 +-
 .../knn/index/query/RNNQueryFactory.java      | 22 +++++++++----------
 .../knn/index/query/KNNQueryBuilderTests.java |  4 ++--
 3 files changed, 14 insertions(+), 14 deletions(-)

diff --git a/src/main/java/org/opensearch/knn/common/KNNConstants.java b/src/main/java/org/opensearch/knn/common/KNNConstants.java
index ef5b5abc2..594f7d63a 100644
--- a/src/main/java/org/opensearch/knn/common/KNNConstants.java
+++ b/src/main/java/org/opensearch/knn/common/KNNConstants.java
@@ -134,5 +134,5 @@ public class KNNConstants {
     // https://github.com/opensearch-project/k-NN/issues/1049#issuecomment-1694741092
     public static int MAX_DISTANCE_COMPUTATIONS = 2048000;
 
-    public static float LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO = 0.95f;
+    public static float DEFAULT_LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO = 0.95f;
 }
diff --git a/src/main/java/org/opensearch/knn/index/query/RNNQueryFactory.java b/src/main/java/org/opensearch/knn/index/query/RNNQueryFactory.java
index eca370b52..2818f5d6a 100644
--- a/src/main/java/org/opensearch/knn/index/query/RNNQueryFactory.java
+++ b/src/main/java/org/opensearch/knn/index/query/RNNQueryFactory.java
@@ -5,7 +5,7 @@
 
 package org.opensearch.knn.index.query;
 
-import static org.opensearch.knn.common.KNNConstants.LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO;
+import static org.opensearch.knn.common.KNNConstants.DEFAULT_LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO;
 import static org.opensearch.knn.common.KNNConstants.VECTOR_DATA_TYPE_FIELD;
 import static org.opensearch.knn.index.VectorDataType.SUPPORTED_VECTOR_DATA_TYPES;
 
@@ -120,11 +120,11 @@ private static Query getFloatVectorSimilarityQuery(
         final Query filterQuery
     ) {
         return new FloatVectorSimilarityQuery(
-            fieldName,
-            floatVector,
-            LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO * resultSimilarity,
-            resultSimilarity,
-            filterQuery
+                fieldName,
+                floatVector,
+                DEFAULT_LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO * resultSimilarity,
+                resultSimilarity,
+                filterQuery
         );
     }
 
@@ -139,11 +139,11 @@ private static Query getByteVectorSimilarityQuery(
         final Query filterQuery
     ) {
         return new ByteVectorSimilarityQuery(
-            fieldName,
-            byteVector,
-            LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO * resultSimilarity,
-            resultSimilarity,
-            filterQuery
+                fieldName,
+                byteVector,
+                DEFAULT_LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO * resultSimilarity,
+                resultSimilarity,
+                filterQuery
         );
     }
 }
diff --git a/src/test/java/org/opensearch/knn/index/query/KNNQueryBuilderTests.java b/src/test/java/org/opensearch/knn/index/query/KNNQueryBuilderTests.java
index 76aa9158a..a0784d73a 100644
--- a/src/test/java/org/opensearch/knn/index/query/KNNQueryBuilderTests.java
+++ b/src/test/java/org/opensearch/knn/index/query/KNNQueryBuilderTests.java
@@ -52,7 +52,7 @@
 import static org.mockito.Mockito.anyString;
 import static org.mockito.Mockito.mock;
 import static org.mockito.Mockito.when;
-import static org.opensearch.knn.common.KNNConstants.LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO;
+import static org.opensearch.knn.common.KNNConstants.DEFAULT_LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO;
 import static org.opensearch.knn.common.KNNConstants.METHOD_HNSW;
 import static org.opensearch.knn.index.KNNClusterTestUtils.mockClusterService;
 import static org.opensearch.knn.index.util.KNNEngine.ENGINES_SUPPORTING_RADIAL_SEARCH;
@@ -398,7 +398,7 @@ public void testDoToQuery_whenNormal_whenDoRadiusSearch_whenDistanceThreshold_th
         float resultSimilarity = KNNEngine.LUCENE.distanceToRadialThreshold(MAX_DISTANCE, SpaceType.L2);
 
         assertTrue(query.toString().contains("resultSimilarity=" + resultSimilarity));
-        assertTrue(query.toString().contains("traversalSimilarity=" + LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO * resultSimilarity));
+        assertTrue(query.toString().contains("traversalSimilarity=" + DEFAULT_LUCENE_RADIAL_SEARCH_TRAVERSAL_SIMILARITY_RATIO * resultSimilarity));
     }
 
     public void testDoToQuery_whenNormal_whenDoRadiusSearch_whenScoreThreshold_thenSucceed() {