I have a requirement to migrate existing on-prem SQL Server to Google cloud sql and along with this i also wanted to migrate existing jobs(internally executes ssis package) and this jobs are running with windows authentication account.
Is there any way that we can create same windows authentication on cloud sql instance
Related
Connecting to Cloud SQL using Python is not always straightforward.
Depending on the context, sometimes you have to connect to a Unix domain socket, allow-list IP addresses for TCP connections, run the Cloud SQL Auth proxy locally. Making these connections secure is yet another challenge: you might have to manage SSL certificates, firewalls rules, IP addresses, etc.
Is there a recommended way to Connect to Cloud SQL in a secure and easy way using Python?
Yes there indeed is, the Cloud SQL Python Connector, a Python package that makes connecting to Cloud SQL both easy and secure for all three supported database engines (Postgres, MySQL, and SQL Server), from anywhere (local machine, Cloud Run, App Engine, Cloud Functions, etc.)
The Python Connector is one of the Cloud SQL connector libraries (also available in Java and Go).
How is a connector different from the other methods?
The Cloud SQL connector libraries provide the following benefits:
IAM Authorization: the connectors use IAM permissions to control who and what can connect to your Cloud SQL instances.
Improved Security: the connectors use robust, updated TLS 1.3 encryption and identity verification between the client connector and the server-side proxy, independent of the database protocol.
Convenience: the connectors remove the requirement to use and distribute SSL certificates, manage firewalls or source/destination IP addresses.
IAM Database Authentication (optional): the connectors provide support for Cloud SQL’s automatic IAM database authentication feature.
How do I use the Python Connector ... what does the code look like?
Basic Usage (using SQLAlchemy)
from google.cloud.sql.connector import Connector, IPTypes
import sqlalchemy
# Python Connector database creator function
def getconn():
with Connector() as connector:
conn = connector.connect(
"project:region:instance-name", # Cloud SQL Instance Connection Name
"pg8000",
user="my-user",
password="my-password",
db="my-db-name",
ip_type=IPTypes.PUBLIC # IPTypes.PRIVATE for private IP
)
return conn
# create SQLAlchemy connection pool
pool = sqlalchemy.create_engine(
"postgresql+pg8000://",
creator=getconn,
)
# interact with Cloud SQL database using connection pool
with pool.connect() as db_conn:
# query database
result = db_conn.execute("SELECT * from my_table").fetchall()
# Do something with the results
for row in result:
print(row)
There are interactive "Getting Started" Colab notebooks that show you how to use the Cloud SQL Python Connector – all without needing to write a single line of code yourself! The notebooks will automatically use a supported database driver based on the database engine you are using with Cloud SQL.
PostgreSQL Notebook, using pg8000
MySQL Notebook, using pymysql
SQL Server Notebook, using pytds
Does it work with popular web frameworks?
Yes, the Python Connector can easily be used in web frameworks such as Flask-SQLAlchemy (and Flask), FastAPI, etc.
Flask-SQLAlchemy code
FastAPI code
I would like to connect to a Cloud SQL instance from Cloud Run, using a service account. The connection used to be created within the VPC and we would just provide a connection string with a user and a password to our PostgreSQL client. But now we want the authentication to be managed by Google Cloud IAM, with the service account associated with the Cloud Run service.
On my machine, I can use the enable_iam_login argument to use my own service account. The command to run the Cloud SQL proxy would look like this:
./cloud_sql_proxy -dir=/cloudsql -instances=[PROJECT-ID]:[REGION]:[INSTANCE] \
-enable_iam_login -credential_file=${HOME}/.config/gcloud/application_default_credentials.json
The problem is that I can't seem to find a way to use the IAM authentication method to run the Cloud SQL Proxy from Cloud Run, I can just provide an instance name. Has anyone face this problem before?
Unfortunately, there isn't a way to configure Cloud Run's use of the Cloud SQL proxy to do this for you.
If you are using Java, Python, or Go, there are language specific connectors you can use from Cloud Run. These all have the option to use IAM DB AuthN as part of them.
For anyone using NodeJS on Cloud Run :
you can't enable the -enable_iam_login option in Cloud Run (cf accepted answer), which means you have to use a connector.
AFAIK, there is no NodeJS connector right now.
Which means you have 2 options :
write a connector yourself (good luck) or wait for Google to do it
use built-in database authentication for now.
Is there a way to access Google cloud SQL instance from Google cloud function using a service account without coding database username and password on cloud function?
Thanks
You can manage Cloud SQL using service account credentials. You cannot login and authenticate to the database (MySQL / PostreSQL) using a service account. You must use username and password.
Google Cloud SQL is a managed database service. This means all the infrastructure required to run MySQL or PostreSQL in the cloud plus management. To login to the database software itself that runs inside Cloud SQL, you must use the authentication method that the database requires. This is username and password.
I have Cloud SQL and Instance in same project of Google Cloud.
I want to connect to Mysql (from Google Cloud SQL) from Instance using command line.
I am connecting using command:
gcloud sql connect cloud-sql-name --user=username
its giving:
ERROR: (gcloud.sql.connect) There was no instance found or you are not authorized to connect to it.
How do I make connection.
You probably missed the authorization of your instance's IP to be able to connect to the Cloud SQL database. This is done for e.g. through the Cloud Console in the Cloud SQL Instances page.
To see the step-by-step guide for connecting from Compute Engine instance to Cloud SQL (with the mysql client) check this docs page.
Are you trying to connect to your Cloud SQL instance from your Compute Engine VM instance?
If this is the case, I can suggest to first grant your service account (the Compute Engine default service account or a new one) the corresponding IAM role/permission for Cloud SQL [1].
Then, authenticate/activate [2] your service account within your VM instance command line (it is recommended to generate a JSON key File instead of a P12 key File for your service account):
~$ gcloud auth activate-service-account [ACCOUNT] --key-file=KEY_FILE
To generate a key File for your service account, you can go to your Products and Services menu > IAM & admin > Service accounts. Click on the three-dotted button at the right of the corresponding service account and select "Create key".
Your key File should be stored/uploaded to your VM instance, so that it can use it to activate the service account.
It is possible that you would also need to grant your VM instance access for Cloud SQL within its Cloud API access scopes panel. Go to your Products and Services menu > Compute Engine > VM instances. Select your VM instance and edit it.
Be aware that you will need to stop your VM instance before editing Cloud API access scopes. Go to "Access scopes" > "Set access for each API". Enable and Save.
You will also have to enable the Cloud SQL Admin API. Go to your Products and Services menu > API and services. Search for SQL Admin and Enable it (wait a few minutes)
Start the VM instance and try your Cloud SQL tests (re-activate your service account if necessary).
Your Cloud SQL instance for MySQL creates the "root" user. Just make sure to use this as the username, or any other you have created (if any).
Take into account that since you would be connecting from a Compute Engine VM instance, it is possible that yo will be asked for a MySQL Client.
[1] https://cloud.google.com/sql/docs/mysql/project-access-control
[2] https://cloud.google.com/sdk/gcloud/reference/auth/activate-service-account
I'm trying to connect a GCE instance to a Cloud SQL instance (2nd gen) with Cloud SQL Proxy. When i ssh to the GCE instance and
sudo ./cloud_sql_proxy -dir=/cloudsql
I get
2016/07/13 18:59:28 Using gcloud's active project: xxxx-0000
2016/07/13 18:59:29 Error listing instances in xxxx-0000:
googleapi: Error 403: Access Not Configured.
Cloud SQL Administration API has not been used in project 000000000000
before or it is disabled. Enable it by visiting
https://console.developers.google.com/apis/api/sqladmin/overview?project=000000000000
then retry.
If you enabled this API recently, wait a few minutes for the action to
propagate to our systems and retry., accessNotConfigured
2016/07/13 18:59:29 no Cloud SQL Instances found in these projects: [xxxx-0000]
I have followed the documentations at
https://cloud.google.com/sql/docs/compute-engine-access#gce-connect-proxy and
https://cloud.google.com/sql/docs/sql-proxy
Both instances are within the same project and Cloud SQL API is enabled on the GCE instance (plus the default ones.) By my understanding, the default GCE service account should be able to authenticate the proxy.
Using cloud_sql_proxy with -instances seems to work but errors with accessNotConfigured too while trying to connect.
As per the error message, you need make sure that the "Cloud SQL Admin" API is enabled by visiting the provided link.
There's also a GUI way to connect your Compute Engine instance if you're using a 2nd gen GCloud SQL instance. You first get the external IP of your compute engine and include it in the Authorizations tab of your GCloud SQL dashboard. Here's a quick video
Enabling Cloud SQL Admin API will solve your problem: