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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.md under /bigquery.

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_name, table_name, json_data):

bigquery_client = bigquery.Client()

dataset = bigquery_client.dataset(dataset_name)

table = dataset.table(table_name)

data = json.loads(json_data)

# Reload the table to get the schema.

table.reload()

rows = [data]

errors = table.insert_data(rows)

if not errors:

print('Loaded 1 row into {}:{}'.format(dataset_name, table_name))

else:

print('Errors:')

pprint(errors)

if __name__ == '__main__':

parser = argparse.ArgumentParser(

description=__doc__,

formatter_class=argparse.RawDescriptionHelpFormatter)

parser.add_argument('dataset_name')

parser.add_argument('table_name')

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_name,

args.table_name,

args.json_data)