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Copy pathundelete_table.py
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66 lines (52 loc) · 2.38 KB
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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.
from google.api_core import datetime_helpers
def undelete_table(table_id: str, recovered_table_id: str) -> None:
# [START bigquery_undelete_table]
import time
from google.cloud import bigquery
# Construct a BigQuery client object.
client = bigquery.Client()
# TODO(developer): Choose a table to recover.
# table_id = "your-project.your_dataset.your_table"
# TODO(developer): Choose a new table ID for the recovered table data.
# recovered_table_id = "your-project.your_dataset.your_table_recovered"
# TODO(developer): Choose an appropriate snapshot point as epoch
# milliseconds. For this example, we choose the current time as we're about
# to delete the table immediately afterwards.
snapshot_epoch = int(time.time() * 1000)
# [START_EXCLUDE]
# Due to very short lifecycle of the table, ensure we're not picking a time
# prior to the table creation due to time drift between backend and client.
table = client.get_table(table_id)
created_epoch: int = datetime_helpers.to_milliseconds(table.created) # type: ignore
if created_epoch > snapshot_epoch:
snapshot_epoch = created_epoch
# [END_EXCLUDE]
# "Accidentally" delete the table.
client.delete_table(table_id) # Make an API request.
# Construct the restore-from table ID using a snapshot decorator.
snapshot_table_id = "{}@{}".format(table_id, snapshot_epoch)
# Construct and run a copy job.
job = client.copy_table(
snapshot_table_id,
recovered_table_id,
# Must match the source and destination tables location.
location="US",
) # Make an API request.
job.result() # Wait for the job to complete.
print(
"Copied data from deleted table {} to {}".format(table_id, recovered_table_id)
)
# [END bigquery_undelete_table]