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stream_data.py
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#!/usr/bin/env python
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Loads a single row of data directly into BigQuery.
For more information, see the README.rst.
Example invocation:
$ python stream_data.py example_dataset example_table \\
'["Gandalf", 2000]'
The dataset and table should already exist.
"""
import argparse
import json
from pprint import pprint
from google.cloud import bigquery
def stream_data(dataset_id, table_id, json_data):
bigquery_client = bigquery.Client()
dataset_ref = bigquery_client.dataset(dataset_id)
table_ref = dataset_ref.table(table_id)
data = json.loads(json_data)
# Get the table from the API so that the schema is available.
table = bigquery_client.get_table(table_ref)
rows = [data]
errors = bigquery_client.create_rows(table, rows)
if not errors:
print('Loaded 1 row into {}:{}'.format(dataset_id, table_id))
else:
print('Errors:')
pprint(errors)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('dataset_id')
parser.add_argument('table_id')
parser.add_argument(
'json_data',
help='The row to load into BigQuery as an array in JSON format.')
args = parser.parse_args()
stream_data(
args.dataset_id,
args.table_id,
args.json_data)