/
get_dataset.py
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/
get_dataset.py
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# Copyright 2019 Google LLC
#
# 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
#
# https://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.
def get_dataset(dataset_id):
# [START bigquery_get_dataset]
from google.cloud import bigquery
# Construct a BigQuery client object.
client = bigquery.Client()
# TODO(developer): Set dataset_id to the ID of the dataset to fetch.
# dataset_id = 'your-project.your_dataset'
dataset = client.get_dataset(dataset_id) # Make an API request.
full_dataset_id = "{}.{}".format(dataset.project, dataset.dataset_id)
friendly_name = dataset.friendly_name
print(
"Got dataset '{}' with friendly_name '{}'.".format(
full_dataset_id, friendly_name
)
)
# View dataset properties.
print("Description: {}".format(dataset.description))
print("Labels:")
labels = dataset.labels
if labels:
for label, value in labels.items():
print("\t{}: {}".format(label, value))
else:
print("\tDataset has no labels defined.")
# View tables in dataset.
print("Tables:")
tables = list(client.list_tables(dataset)) # Make an API request(s).
if tables:
for table in tables:
print("\t{}".format(table.table_id))
else:
print("\tThis dataset does not contain any tables.")
# [END bigquery_get_dataset]