remove sparse vector tests as these break the existing tests

Samiul-TheSoccerFan · Sep 20, 2024 · d18cdf5 · d18cdf5
1 parent a9a3c21
commit d18cdf5
Showing 1 changed file with 0 additions and 161 deletions.
diff --git a/rest-api-spec/src/yamlRestTest/resources/rest-api-spec/test/search/10_source_filtering.yml b/rest-api-spec/src/yamlRestTest/resources/rest-api-spec/test/search/10_source_filtering.yml
@@ -9,7 +9,6 @@ setup:
                 bigint:
                   type: keyword
 
-
   - do:
       index:
         index:  test_1
@@ -187,163 +186,3 @@ setup:
   # When this test is run during runtime-field's tests we *don't* get floating point errors. Thus the funny assertion here that matches both.
   - lt: { hits.hits.0.fields.d.0: 3.141 }
   - gte: { hits.hits.0.fields.d.0: 3.14 }
-
----
-"Include sparse embeddings in _source by default":
-  - requires:
-      cluster_features: "gte_v8.16.0"
-      reason: _source filtering for sparse vector added in 8.16.0
-  - do:
-      indices.create:
-        index: test
-        body:
-          mappings:
-            properties:
-              text:
-                type: text
-              ml.tokens:
-                type: sparse_vector
-
-  - do:
-      index:
-        index: test
-        id: "1"
-        body:
-          text: "running is good for you"
-          ml:
-            tokens:
-              - running: 2.4097164
-                good: 2.170997
-                run: 2.052153
-                race: 0.1
-                for: 1.1908325
-                runner: 1.1803857
-                exercise: 0.1
-                you: 0.9654308
-                training: 0.94999343
-                sports: 0.93650943
-                fitness: 0.83129317
-                best: 0.820365
-                bad: 0.1
-                health: 0.1
-                marathon: 0.61555296
-                gym: 0.5652374
-
-  - do:
-      search:
-        index: test
-        body:
-          query:
-            sparse_vector:
-              field: "ml.tokens"
-              query_vector: {"exercise": 0.1 }
-
-  - exists: { hits.hits.0._source.ml.tokens }
-
----
-"Exclude sparse embeddings from _source":
-  - requires:
-      cluster_features: "gte_v8.16.0"
-      reason: _source filtering for sparse vector added in 8.16.0
-  - do:
-      indices.create:
-        index: test
-        body:
-          mappings:
-            properties:
-              text:
-                type: text
-              ml.tokens:
-                type: sparse_vector
-
-  - do:
-      index:
-        index: test
-        id: "1"
-        body:
-          text: "running is good for you"
-          ml:
-            tokens:
-              - running: 2.4097164
-                good: 2.170997
-                run: 2.052153
-                race: 0.1
-                for: 1.1908325
-                runner: 1.1803857
-                exercise: 0.1
-                you: 0.9654308
-                training: 0.94999343
-                sports: 0.93650943
-                fitness: 0.83129317
-                best: 0.820365
-                bad: 0.1
-                health: 0.1
-                marathon: 0.61555296
-                gym: 0.5652374
-
-  - do:
-      search:
-        index: test
-        body:
-          _source:
-            include_vectors: false
-          query:
-            sparse_vector:
-              field: "ml.tokens"
-              query_vector: {"exercise": 0.1 }
-
-  - not_exists: { hits.hits.0._source.ml.tokens }
-
----
-"Exclude sparse embeddings from _source":
-  - requires:
-      cluster_features: "gte_v8.16.0"
-      reason: _source filtering for sparse vector added in 8.16.0
-  - do:
-      indices.create:
-        index: test
-        body:
-          mappings:
-            properties:
-              text:
-                type: text
-              ml.tokens:
-                type: sparse_vector
-
-  - do:
-      index:
-        index: test
-        id: "1"
-        body:
-          text: "running is good for you"
-          ml:
-            tokens:
-              - running: 2.4097164
-                good: 2.170997
-                run: 2.052153
-                race: 0.1
-                for: 1.1908325
-                runner: 1.1803857
-                exercise: 0.1
-                you: 0.9654308
-                training: 0.94999343
-                sports: 0.93650943
-                fitness: 0.83129317
-                best: 0.820365
-                bad: 0.1
-                health: 0.1
-                marathon: 0.61555296
-                gym: 0.5652374
-
-  - do:
-      search:
-        index: test
-        body:
-          _source:
-            include_vectors: true
-          query:
-            sparse_vector:
-              field: "ml.tokens"
-              query_vector: {"exercise": 0.1 }
-
-  - exists: { hits.hits.0._source.ml.tokens }