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Cloud Functions “Connection Refused” when connecting to Cloud SQL

由 匆匆过客 提交于 2019-12-04 16:29:06
Zou Dino

Very important information:

Before you can get started, you need to go the GCP IAM to add the cloud SQL admin role to the cloud function service account. The service account information can be found in the general tab of the cloud function. After you complete this action, you should be good to go. If not, try to add more roles to your cloud function service account like project editor.

For code reference,( only part to change)

# TODO(developer): specify SQL connection details  
CONNECTION_NAME = getenv(
'INSTANCE_CONNECTION_NAME',
'proj-chatbot-og:us-central1:your connection name')
# Please don't change the name on the left like MYSQL_USER
DB_USER = getenv('MYSQL_USER', 'your user name')
DB_PASSWORD = getenv('MYSQL_PASSWORD', 'your password')
DB_NAME = getenv('MYSQL_DATABASE', 'your sql database')


mysql_config = {
'user': DB_USER,
'password': DB_PASSWORD,
'db': DB_NAME,
'charset': 'utf8mb4',
'cursorclass': pymysql.cursors.DictCursor,
'autocommit': True
}

The full documentation can be found in here https://cloud.google.com/functions/docs/sql

Please vote the solution if you found the solution solved your issue.

I was having the same issue and after much back and forth with Google, this finally solved it for me.

The sample shows the following try clause:

if not mysql_conn:
    try:
        mysql_conn = pymysql.connect(**mysql_config)
    except OperationalError:
        # If production settings fail, use local development ones
        mysql_config['unix_socket'] = f'/cloudsql/{CONNECTION_NAME}'
        mysql_conn = pymysql.connect(**mysql_config)

I changed it to:

if not mysql_conn:
    mysql_config['unix_socket'] = f'/cloudsql/{CONNECTION_NAME}'
    mysql_conn = pymysql.connect(**mysql_config)

And used (data, context) as function arguments rather than (request)

This is what I ultimately ended up with as a test function:

from os import getenv

import pymysql
from pymysql.err import OperationalError

CONNECTION_NAME = getenv(
  'INSTANCE_CONNECTION_NAME',
  'connection_name')
DB_USER = getenv('MYSQL_USER', 'username')
DB_PASSWORD = getenv('MYSQL_PASSWORD', 'password')
DB_NAME = getenv('MYSQL_DATABASE', 'database')

mysql_config = {
  'user': DB_USER,
  'password': DB_PASSWORD,
  'db': DB_NAME,
  'charset': 'utf8mb4',
  'cursorclass': pymysql.cursors.DictCursor,
  'autocommit': True
}

if getenv('NODE_ENV', '') == 'production':
    mysql_config['unix_socket'] = f'/cloudsql/{CONNECTION_NAME}'

# Create SQL connection globally to enable reuse
# PyMySQL does not include support for connection pooling
mysql_conn = None


def __get_cursor():
    """
    Helper function to get a cursor
    PyMySQL does NOT automatically reconnect,
    so we must reconnect explicitly using ping()
    """
    try:
        return mysql_conn.cursor()
    except OperationalError:
        mysql_conn.ping(reconnect=True)
        return mysql_conn.cursor()


def mysql_demo(data, context):
    global mysql_conn

    # Initialize connections lazily, in case SQL access isn't needed for this
    # GCF instance. Doing so minimizes the number of active SQL connections,
    # which helps keep your GCF instances under SQL connection limits.
    if not mysql_conn:
        mysql_conn = pymysql.connect(**mysql_config)

    # Remember to close SQL resources declared while running this function.
    # Keep any declared in global scope (e.g. mysql_conn) for later reuse.
    with __get_cursor() as cursor:
        cursor.execute('SELECT NOW() as now')
        results = cursor.fetchone()
        return str(results['now'])
标签
python
google-cloud-platform
google-cloud-functions
google-cloud-sql
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