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load_data_by_post.py
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#!/usr/bin/env python
# Copyright 2015, Google, Inc.
# 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.
"""Command-line application that loads data into BigQuery via HTTP POST.
This sample is used on this page:
https://cloud.google.com/bigquery/loading-data-into-bigquery
For more information, see the README.rst.
"""
import argparse
import json
import time
import googleapiclient.discovery
import googleapiclient.http
# [START make_post]
def load_data(schema_path, data_path, project_id, dataset_id, table_id):
"""Loads the given data file into BigQuery.
Args:
schema_path: the path to a file containing a valid bigquery schema.
see https://cloud.google.com/bigquery/docs/reference/v2/tables
data_path: the name of the file to insert into the table.
project_id: The project id that the table exists under. This is also
assumed to be the project id this request is to be made under.
dataset_id: The dataset id of the destination table.
table_id: The table id to load data into.
"""
# Create a bigquery service object.
bigquery = googleapiclient.discovery.build('bigquery', 'v2')
# Infer the data format from the name of the data file.
source_format = 'CSV'
if data_path[-5:].lower() == '.json':
source_format = 'NEWLINE_DELIMITED_JSON'
# Post to the jobs resource using the client's media upload interface. See:
# http://developers.google.com/api-client-library/python/guide/media_upload
insert_request = bigquery.jobs().insert(
projectId=project_id,
# Provide a configuration object. See:
# https://cloud.google.com/bigquery/docs/reference/v2/jobs#resource
body={
'configuration': {
'load': {
'schema': {
'fields': json.load(open(schema_path, 'r'))
},
'destinationTable': {
'projectId': project_id,
'datasetId': dataset_id,
'tableId': table_id
},
'sourceFormat': source_format,
}
}
},
media_body=googleapiclient.http.MediaFileUpload(
data_path,
mimetype='application/octet-stream'))
job = insert_request.execute()
print('Waiting for job to finish...')
status_request = bigquery.jobs().get(
projectId=job['jobReference']['projectId'],
jobId=job['jobReference']['jobId'])
# Poll the job until it finishes.
while True:
result = status_request.execute(num_retries=2)
if result['status']['state'] == 'DONE':
if result['status'].get('errors'):
raise RuntimeError('\n'.join(
e['message'] for e in result['status']['errors']))
print('Job complete.')
return
time.sleep(1)
# [END make_post]
# [START main]
def main(project_id, dataset_id, table_name, schema_path, data_path):
load_data(
schema_path,
data_path,
project_id,
dataset_id,
table_name)
# [END main]
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('project_id', help='Your Google Cloud project ID.')
parser.add_argument('dataset_id', help='A BigQuery dataset ID.')
parser.add_argument(
'table_name', help='Name of the table to load data into.')
parser.add_argument(
'schema_file',
help='Path to a schema file describing the table schema.')
parser.add_argument(
'data_file',
help='Path to the data file.')
args = parser.parse_args()
main(
args.project_id,
args.dataset_id,
args.table_name,
args.schema_file,
args.data_file)