filter_datasets -> filter_tables

meltano.yml

@@ -22,7 +22,7 @@ plugins:
     - name: google_storage_bucket
     - name: filter_schemas
       kind: array
-    - name: filter_datasets
+    - name: filter_tables
       kind: array
   loaders:
   - name: target-jsonl

tap_bigquery/connector.py

@@ -272,7 +272,7 @@ def get_object_names(
                 schema_name,
             )
         ]
-        if table_patterns := self.config.get("filter_datasets"):
+        if table_patterns := self.config.get("filter_tables"):
             return [
                 o
                 for o in objects

tap_bigquery/tap.py

@@ -44,19 +44,19 @@ class TapBigQuery(SQLTap):
             required=False,
             description=(
                 "If an array of schema names is provided, the tap will only process "
-                "the specified BigQuery schemas and ignore others. If left blank, the "
-                "tap automatically determines ALL available BigQuery schemas."
+                "the specified BigQuery schemas (datasets) and ignore others. If left "
+                " blank, the tap automatically determines ALL available schemas."
             ),
         ),
         th.Property(
-            "filter_datasets",
+            "filter_tables",
             th.ArrayType(th.StringType),
             required=False,
             description=(
-                "If an array of dataset names is provided, the tap will only process "
-                "the specified BigQuery datasets and ignore others. If left blank, the "
-                "tap automatically determines ALL available BigQuery datasets. Shell "
-                "patterns are supported."
+                "If an array of table names is provided, the tap will only process "
+                "the specified BigQuery tables and ignore others. If left blank, the "
+                "tap automatically determines ALL available tables. Shell patterns are "
+                "supported."
             ),
         ),
     ).to_dict()

tests/test_core.py

@@ -11,8 +11,8 @@
 SAMPLE_CONFIG = {
     "project_id": "",
     "filter_schemas": [],
-    "filter_datasets": [],
-    "google_application_credentials": "MOCK"
+    "filter_tables": [],
+    "google_application_credentials": "MOCK",
 }
 
 def dump(sql, *multiparams, **params):