Fixed the Search Field mapping in ElasticSearch DocumentStore

haystack/document_stores/elasticsearch.py

@@ -281,7 +281,7 @@ def _create_document_index(self, index_name: str, headers: Optional[Dict[str, st
                 "mappings": {
                     "properties": {
                         self.name_field: {"type": "keyword"},
-                        self.content_field: {"type": "text"},
+                        self.content_field: {"type": "text"}
                     },
                     "dynamic_templates": [
                         {
@@ -301,13 +301,21 @@ def _create_document_index(self, index_name: str, headers: Optional[Dict[str, st
                     }
                 }
             }
+
             if self.synonyms:
+                for field in self.search_fields:
+                    mapping["mappings"]["properties"].update({field: {"type": "text", "analyzer": "synonym"}})
                 mapping["mappings"]["properties"][self.content_field] = {"type": "text", "analyzer": "synonym"}
+
                 mapping["settings"]["analysis"]["analyzer"]["synonym"] = {"tokenizer": "whitespace",
                                                                           "filter": ["lowercase",
                                                                                      "synonym"]}
                 mapping["settings"]["analysis"]["filter"] = {"synonym": {"type": self.synonym_type, "synonyms": self.synonyms}}
 
+            else:
+                for field in self.search_fields:
+                    mapping["mappings"]["properties"].update({field: {"type": "text"}})
+
             if self.embedding_field:
                 mapping["mappings"]["properties"][self.embedding_field] = {"type": "dense_vector", "dims": self.embedding_dim}
 
@@ -1353,7 +1361,7 @@ def _create_document_index(self, index_name: str, headers: Optional[Dict[str, st
                 "mappings": {
                     "properties": {
                         self.name_field: {"type": "keyword"},
-                        self.content_field: {"type": "text"},
+                        self.content_field: {"type": "text"}
                     },
                     "dynamic_templates": [
                         {
@@ -1373,6 +1381,21 @@ def _create_document_index(self, index_name: str, headers: Optional[Dict[str, st
                     }
                 }
             }
+
+            if self.synonyms:
+                for field in self.search_fields:
+                    mapping["mappings"]["properties"].update({field: {"type": "text", "analyzer": "synonym"}})
+                mapping["mappings"]["properties"][self.content_field] = {"type": "text", "analyzer": "synonym"}
+
+                mapping["settings"]["analysis"]["analyzer"]["synonym"] = {"tokenizer": "whitespace",
+                                                                          "filter": ["lowercase",
+                                                                                     "synonym"]}
+                mapping["settings"]["analysis"]["filter"] = {"synonym": {"type": self.synonym_type, "synonyms": self.synonyms}}
+
+            else:
+                for field in self.search_fields:
+                    mapping["mappings"]["properties"].update({field: {"type": "text"}})
+
             if self.embedding_field:
 
                 if self.similarity == "cosine":

test/test_document_store.py

@@ -1190,4 +1190,30 @@ def test_DeepsetCloudDocumentStore_query_by_embedding(deepset_cloud_document_sto
         )
 
     emb_docs = deepset_cloud_document_store.query_by_embedding(query_emb)
-    assert len(emb_docs) == 0
+    assert len(emb_docs) == 0
+
+
+@pytest.mark.elasticsearch
+def test_elasticsearch_search_field_mapping():
+
+    client = Elasticsearch()
+    client.indices.delete(index='haystack_search_field_mapping', ignore=[404])
+
+    index_data = [
+            {"title": "Green tea components",
+             "meta": {"content": "The green tea plant contains a range of healthy compounds that make it into the final drink","sub_content":"Drink tip"},"id": "1"},
+            {"title": "Green tea catechin",
+             "meta": {"content": "Green tea contains a catechin called epigallocatechin-3-gallate (EGCG).","sub_content":"Ingredients tip"}, "id": "2"},
+            {"title": "Minerals in Green tea",
+             "meta": {"content": "Green tea also has small amounts of minerals that can benefit your health.","sub_content":"Minerals tip"}, "id": "3"},
+            {"title": "Green tea Benefits",
+             "meta": {"content": "Green tea does more than just keep you alert, it may also help boost brain function.","sub_content":"Health tip"},"id": "4"}
+        ]
+
+    document_store = ElasticsearchDocumentStore(index="haystack_search_field_mapping",search_fields=["content", "sub_content"],content_field= "title")
+    document_store.write_documents(index_data)
+
+    indexed_settings = client.indices.get_mapping(index="haystack_search_field_mapping")
+
+    assert indexed_settings["haystack_search_field_mapping"]["mappings"]["properties"]["content"]["type"] == 'text'
+    assert indexed_settings["haystack_search_field_mapping"]["mappings"]["properties"]["sub_content"]["type"] == 'text'