Add option to disable schema enforcement for pandas_to_eland.

eland/etl.py

@@ -48,6 +48,7 @@ def pandas_to_eland(
     es_refresh: bool = False,
     es_dropna: bool = False,
     es_type_overrides: Optional[Mapping[str, str]] = None,
+    es_enforce_index_schema: bool = True,
     thread_count: int = 4,
     chunksize: Optional[int] = None,
     use_pandas_index_for_es_ids: bool = True,
@@ -77,6 +78,9 @@ def pandas_to_eland(
         * False: Include missing values - may cause bulk to fail
     es_type_overrides: dict, default None
         Dict of field_name: es_data_type that overrides default es data types
+    es_enforce_index_schema: bool, default 'True'
+        * True: Verify that the dataframe schema matches the Elasticsearch index schema
+        * False: Do not verify schema
     thread_count: int
         number of the threads to use for the bulk requests
     chunksize: int, default None
@@ -177,7 +181,7 @@ def pandas_to_eland(
             es_client.indices.delete(index=es_dest_index)
             es_api_compat(es_client.indices.create, index=es_dest_index, body=mapping)
 
-        elif es_if_exists == "append":
+        elif es_if_exists == "append" and es_enforce_index_schema:
             dest_mapping = es_client.indices.get_mapping(index=es_dest_index)[
                 es_dest_index
             ]

tests/etl/test_pandas_to_eland.py

@@ -137,7 +137,7 @@ def test_es_if_exists_append(self):
         pd_df3 = pd_df.append(pd_df2)
         assert_pandas_eland_frame_equal(pd_df3, df2)
 
-    def test_es_if_exists_append_mapping_mismatch(self):
+    def test_es_if_exists_append_mapping_mismatch_schema_enforcement(self):
         df1 = pandas_to_eland(
             pd_df,
             es_client=ES_TEST_CLIENT,
@@ -162,9 +162,60 @@ def test_es_if_exists_append_mapping_mismatch(self):
             "- 'Z' is missing from ES index mapping\n"
             "- 'a' column type ('keyword') not compatible with ES index mapping type ('long')"
         )
+
         # Assert that the index isn't modified
         assert_pandas_eland_frame_equal(pd_df, df1)
 
+    def test_es_if_exists_append_mapping_mismatch_no_schema_enforcement(self):
+        pandas_to_eland(
+            pd_df,
+            es_client=ES_TEST_CLIENT,
+            es_dest_index="test-index",
+            es_if_exists="append",
+            es_refresh=True,
+        )
+
+        pd_df2 = pd.DataFrame(
+            {
+                "a": [4, 5, 6],
+                "b": [-1.0, -2.0, -3.0],
+                "d": [dt, dt - timedelta(1), dt - timedelta(2)],
+                "e": ["A", "B", "C"],
+            },
+            index=["3", "4", "5"],
+        )
+
+        pandas_to_eland(
+            pd_df2,
+            es_client=ES_TEST_CLIENT,
+            es_dest_index="test-index",
+            es_if_exists="append",
+            es_refresh=True,
+            es_enforce_index_schema=False,
+        )
+
+        final_df = pd.DataFrame(
+            {
+                "a": [1, 2, 3, 4, 5, 6],
+                "b": [1.0, 2.0, 3.0, -1.0, -2.0, -3.0],
+                "c": ["A", "B", "C", None, None, None],
+                "d": [
+                    dt,
+                    dt + timedelta(1),
+                    dt + timedelta(2),
+                    dt,
+                    dt - timedelta(1),
+                    dt - timedelta(2),
+                ],
+                "e": [None, None, None, "A", "B", "C"],
+            },
+            index=["0", "1", "2", "3", "4", "5"],
+        )
+
+        eland_df = DataFrame(ES_TEST_CLIENT, "test-index")
+        # Assert that the index isn't modified
+        assert_pandas_eland_frame_equal(final_df, eland_df)
+
     def test_es_if_exists_append_es_type_coerce_error(self):
         df1 = pandas_to_eland(
             pd_df,