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connect_connector.py
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# Copyright 2022 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
#
# 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.
# [START cloud_sql_sqlserver_sqlalchemy_connect_connector]
import os
from google.cloud.sql.connector import Connector, IPTypes
import pytds
import sqlalchemy
def connect_with_connector() -> sqlalchemy.engine.base.Engine:
"""
Initializes a connection pool for a Cloud SQL instance of SQL Server.
Uses the Cloud SQL Python Connector package.
"""
# Note: Saving credentials in environment variables is convenient, but not
# secure - consider a more secure solution such as
# Cloud Secret Manager (https://cloud.google.com/secret-manager) to help
# keep secrets safe.
instance_connection_name = os.environ[
"INSTANCE_CONNECTION_NAME"
] # e.g. 'project:region:instance'
db_user = os.environ.get("DB_USER", "") # e.g. 'my-db-user'
db_pass = os.environ["DB_PASS"] # e.g. 'my-db-password'
db_name = os.environ["DB_NAME"] # e.g. 'my-database'
ip_type = IPTypes.PRIVATE if os.environ.get("PRIVATE_IP") else IPTypes.PUBLIC
# initialize Cloud SQL Python Connector object
connector = Connector(ip_type=ip_type, refresh_strategy="LAZY")
connect_args = {}
# If your SQL Server instance requires SSL, you need to download the CA
# certificate for your instance and include cafile={path to downloaded
# certificate} and validate_host=False. This is a workaround for a known issue.
if os.environ.get("DB_ROOT_CERT"): # e.g. '/path/to/my/server-ca.pem'
connect_args = {
"cafile": os.environ["DB_ROOT_CERT"],
"validate_host": False,
}
def getconn() -> pytds.Connection:
conn = connector.connect(
instance_connection_name,
"pytds",
user=db_user,
password=db_pass,
db=db_name,
**connect_args
)
return conn
pool = sqlalchemy.create_engine(
"mssql+pytds://",
creator=getconn,
# [START_EXCLUDE]
# Pool size is the maximum number of permanent connections to keep.
pool_size=5,
# Temporarily exceeds the set pool_size if no connections are available.
max_overflow=2,
# The total number of concurrent connections for your application will be
# a total of pool_size and max_overflow.
# 'pool_timeout' is the maximum number of seconds to wait when retrieving a
# new connection from the pool. After the specified amount of time, an
# exception will be thrown.
pool_timeout=30, # 30 seconds
# 'pool_recycle' is the maximum number of seconds a connection can persist.
# Connections that live longer than the specified amount of time will be
# re-established
pool_recycle=1800, # 30 minutes
# [END_EXCLUDE]
)
return pool
# [END cloud_sql_sqlserver_sqlalchemy_connect_connector]