Use name and type comparising when appending a dataframe into table

docs/source/changelog.rst

@@ -1,9 +1,11 @@
 Changelog
 =========
 
-0.2.0 / 2017-?
+0.2.0 / 2017-02-26
 --------------
 
+Fixed an issue with appending to a BigQuery table where fields have modes (NULLABLE,REQUIRED,REPEATED). The changes concern solely the comparision of the local (DataFrame) and remote (BQ) schema in GbqConnector.verify_schema function. The fix is to omit other field attributes than name and type.
+
 0.1.2 / 2017-02-23
 ------------------
 

pandas_gbq/gbq.py

@@ -563,8 +563,12 @@ def verify_schema(self, dataset_id, table_id, schema):
                 datasetId=dataset_id,
                 tableId=table_id).execute()['schema']
 
+            remote_fields = [{'name': field_remote['name'],
+                              'type': field_remote['type']}
+                             for field_remote in remote_schema['fields']]
+
             fields_remote = set([json.dumps(field_remote)
-                                 for field_remote in remote_schema['fields']])
+                                 for field_remote in remote_fields])
             fields_local = set(json.dumps(field_local)
                                for field_local in schema['fields'])
 

pandas_gbq/tests/test_gbq.py

@@ -1161,6 +1161,34 @@ def test_upload_data_flexible_column_order(self):
                    _get_project_id(), if_exists='append',
                    private_key=_get_private_key_path())
 
+    def test_verify_schema_ignores_field_mode(self):
+        test_id = "14"
+        test_schema_1 = {'fields': [{'name': 'A',
+                                     'type': 'FLOAT',
+                                     'mode': 'NULLABLE'},
+                                    {'name': 'B',
+                                     'type': 'FLOAT',
+                                     'mode': 'NULLABLE'},
+                                    {'name': 'C',
+                                     'type': 'STRING',
+                                     'mode': 'NULLABLE'},
+                                    {'name': 'D',
+                                     'type': 'TIMESTAMP',
+                                     'mode': 'REQUIRED'}]}
+        test_schema_2 = {'fields': [{'name': 'A',
+                                     'type': 'FLOAT'},
+                                    {'name': 'B',
+                                     'type': 'FLOAT'},
+                                    {'name': 'C',
+                                     'type': 'STRING'},
+                                    {'name': 'D',
+                                     'type': 'TIMESTAMP'}]}
+
+        self.table.create(TABLE_ID + test_id, test_schema_1)
+        self.assertTrue(self.sut.verify_schema(
+            self.dataset_prefix + "1", TABLE_ID + test_id, test_schema_2),
+            'Expected schema to match')
+
     def test_list_dataset(self):
         dataset_id = self.dataset_prefix + "1"
         self.assertTrue(dataset_id in self.dataset.datasets(),