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update_with_dml.py
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update_with_dml.py
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# Copyright 2021 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.
# [START bigquery_update_with_dml]
import pathlib
from google.cloud import bigquery
from google.cloud.bigquery import enums
def load_from_newline_delimited_json(
client: bigquery.Client,
filepath: pathlib.Path,
project_id: str,
dataset_id: str,
table_id: str,
):
full_table_id = f"{project_id}.{dataset_id}.{table_id}"
job_config = bigquery.LoadJobConfig()
job_config.source_format = enums.SourceFormat.NEWLINE_DELIMITED_JSON
job_config.schema = [
bigquery.SchemaField("id", enums.SqlTypeNames.STRING),
bigquery.SchemaField("user_id", enums.SqlTypeNames.INTEGER),
bigquery.SchemaField("login_time", enums.SqlTypeNames.TIMESTAMP),
bigquery.SchemaField("logout_time", enums.SqlTypeNames.TIMESTAMP),
bigquery.SchemaField("ip_address", enums.SqlTypeNames.STRING),
]
with open(filepath, "rb") as json_file:
load_job = client.load_table_from_file(
json_file, full_table_id, job_config=job_config
)
# Wait for load job to finish.
load_job.result()
def update_with_dml(
client: bigquery.Client, project_id: str, dataset_id: str, table_id: str
):
query_text = f"""
UPDATE `{project_id}.{dataset_id}.{table_id}`
SET ip_address = REGEXP_REPLACE(ip_address, r"(\\.[0-9]+)$", ".0")
WHERE TRUE
"""
query_job = client.query(query_text)
# Wait for query job to finish.
query_job.result()
print(f"DML query modified {query_job.num_dml_affected_rows} rows.")
return query_job.num_dml_affected_rows
def run_sample(override_values={}):
client = bigquery.Client()
filepath = pathlib.Path(__file__).parent / "user_sessions_data.json"
project_id = client.project
dataset_id = "sample_db"
table_id = "UserSessions"
# [END bigquery_update_with_dml]
# To facilitate testing, we replace values with alternatives
# provided by the testing harness.
dataset_id = override_values.get("dataset_id", dataset_id)
table_id = override_values.get("table_id", table_id)
# [START bigquery_update_with_dml]
load_from_newline_delimited_json(client, filepath, project_id, dataset_id, table_id)
return update_with_dml(client, project_id, dataset_id, table_id)
# [END bigquery_update_with_dml]