More docs

api/src/adapters/search/opensearch_client.py

@@ -112,6 +112,12 @@ def bulk_upsert(
         self._client.bulk(index=index_name, body=bulk_operations, refresh=refresh)
 
     def bulk_delete(self, index_name: str, ids: Iterable[Any], *, refresh: bool = True) -> None:
+        """
+        Bulk delete records from an index
+
+        See: https://opensearch.org/docs/latest/api-reference/document-apis/bulk/ for details.
+        In this method, we delete records based on the IDs passed in.
+        """
         bulk_operations = []
 
         for _id in ids:
@@ -130,11 +136,15 @@ def bulk_delete(self, index_name: str, ids: Iterable[Any], *, refresh: bool = Tr
         self._client.bulk(index=index_name, body=bulk_operations, refresh=refresh)
 
     def index_exists(self, index_name: str) -> bool:
-        # Check if an index OR alias exists by a given name
+        """
+        Check if an index OR alias exists by a given name
+        """
         return self._client.indices.exists(index_name)
 
     def alias_exists(self, alias_name: str) -> bool:
-        # Check if an alias exists
+        """
+        Check if an alias exists
+        """
         existing_index_mapping = self._client.cat.aliases(alias_name, format="json")
         return len(existing_index_mapping) > 0
 
@@ -194,6 +204,24 @@ def scroll(
         include_scores: bool = True,
         duration: str = "10m",
     ) -> Generator[SearchResponse, None, None]:
+        """
+        Scroll (iterate) over a large result set a given search query.
+
+        This query uses additional resources to keep the response open, but
+        keeps a consistent set of results and is useful for backend processes
+        that need to fetch a large amount of search data. After processing the results,
+        the scroll lock is closed for you.
+
+        This method is setup as a generator method and the results can be iterated over::
+
+            for response in search_client.scroll("my_index", {"size": 10000}):
+                for record in response.records:
+                    process_record(record)
+
+
+        See: https://opensearch.org/docs/latest/api-reference/scroll/
+        """
+
         # start scroll
         response = self.search(
             index_name=index_name,
@@ -209,6 +237,9 @@ def scroll(
         while True:
             raw_response = self._client.scroll({"scroll_id": scroll_id, "scroll": duration})
             response = SearchResponse.from_opensearch_response(raw_response, include_scores)
+
+            # The scroll ID can change between queries according to the docs, so we
+            # keep updating the value while iterating in case they change.
             scroll_id = response.scroll_id
 
             if len(response.records) == 0: