{"action":"created","comment":{"url":"https://api.github.com/repos/GoogleCloudPlatform/python-docs-samples/pulls/comments/75555642","id":75555642,"diff_hunk":"@@ -0,0 +1,172 @@\n+#!/usr/bin/env python\n+\n+# Copyright 2016 Google Inc. All Rights Reserved.\n+#\n+# Licensed under the Apache License, Version 2.0 (the \"License\");\n+# you may not use this file except in compliance with the License.\n+# You may obtain a copy of the License at\n+#\n+#     http://www.apache.org/licenses/LICENSE-2.0\n+#\n+# Unless required by applicable law or agreed to in writing, software\n+# distributed under the License is distributed on an \"AS IS\" BASIS,\n+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n+# See the License for the specific language governing permissions and\n+# limitations under the License.\n+\n+\"\"\"Samples that demonstrate basic operations in the BigQuery API.\n+\n+For more information, see the README.md under /bigquery.\n+\n+Example invocation:\n+    $ python snippets.py list-datasets\n+\n+The dataset and table should already exist.\n+\"\"\"\n+\n+import argparse\n+\n+from gcloud import bigquery\n+\n+\n+def list_projects():\n+    raise NotImplementedError(\n+        'https://github.com/GoogleCloudPlatform/gcloud-python/issues/2143')\n+\n+\n+def list_datasets(project=None):\n+    \"\"\"Lists all datasets in a given project.\n+\n+    If no project is specified, then the currently active project is used\n+    \"\"\"\n+    bigquery_client = bigquery.Client(project=project)\n+\n+    datasets = []\n+    page_token = None\n+\n+    while True:\n+        results, page_token = bigquery_client.list_datasets(\n+            page_token=page_token)\n+        datasets.extend(results)\n+\n+        if not page_token:\n+            break\n+\n+    for dataset in datasets:\n+        print(dataset.name)\n+\n+\n+def list_tables(dataset_name, project=None):\n+    \"\"\"Lists all of the tables in a given dataset.\n+\n+    If no project is specified, then the currently active project is used.\n+    \"\"\"\n+    bigquery_client = bigquery.Client(project=project)\n+    dataset = bigquery_client.dataset(dataset_name)\n+\n+    if not dataset.exists():\n+        print('Dataset {} does not exist.'.format(dataset_name))\n+\n+    tables = []\n+    page_token = None\n+\n+    while True:\n+        results, page_token = dataset.list_tables(page_token=page_token)\n+        tables.extend(results)\n+\n+        if not page_token:\n+            break\n+\n+    for table in tables:\n+        print(table.name)\n+\n+\n+def list_rows(dataset_name, table_name, project=None):\n+    \"\"\"Prints rows in the given table.\n+\n+    Will print 25 rows at most for brevity as tables can contain large amounts\n+    of rows.\n+\n+    If no project is specified, then the currently active project is used.\n+    \"\"\"\n+    bigquery_client = bigquery.Client(project=project)\n+    dataset = bigquery_client.dataset(dataset_name)\n+    table = dataset.table(table_name)\n+\n+    if not table.exists():\n+        print('Table {}:{} does not exist.'.format(dataset_name, 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