I configured Cloud SQL instance with privateIP and the VM with service account credentials configured.
I could successfully connect to SQL server from VM instance to SQL instance(privateIP) using cloud proxy as follows,
./cloud_sql_proxy -instances=proj:us-central1:test-sql=tcp:5353 -credential_file=service.json
and from VM,
sqlcmd -S tcp:127.0.0.1,5353 -U sqlserver
All these working from VM and inside Google cloud.
How to archive the same connectivity from Local SSMS studio, and i have tried downloading cloud-sql-proxy for windows system, and calling with same,
cloud_sql_proxy.exe -instances=proj:us-central1:test-sql=tcp:5353 -credential_file=service.json
using credential file for authentication; email=test#proj.iam.gserviceaccount.com
Listening on 127.0.0.1:5353 for proj:us-central1:test-sql
Ready for new connections
And i try to connect the SSMS using below connection params,
Error from cloud_sql_proxy CMD:
couldn't connect to "proj:us-central1:test-sql": dial tcp <PRIVATE_IP>:3307: connectex: A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond.
Any idea whats the problem and why am not able to connect from local machine with proper credentials file using SSMS? or do i missing any configurations?
As this documentation says, "When you configure a Cloud SQL instance to use private IP, you use private services access. Private services access is implemented as a VPC peering connection between your VPC network and the underlying Google services VPC network where your Cloud SQL instance resides". That means that only the Google network can access to the Private IP. However, you can use private services access to connect to Cloud SQL resources from external sources over a VPN tunnel or Cloud Interconnect to your VPC network. The topology should be like this
ON-PREMISE ----- VPN ----- Your GCP Project
So, have you checked if your VPN tunnel or your Cloud interconnect settings are right?
I would recommend you to take a look at here and be sure you have followed this:
1.- Ensure your VPC network is connected to the external network using a Cloud VPN tunnel or a VLAN attachment for Dedicated Interconnect or Partner Interconnect.
2.- Identify the peering connections produced by the private services connection:
* cloudsql-mysql-googleapis-com
* cloudsql-postgres-googleapis-com
* servicenetworking-googleapis-com
3.- Update all of the peering connections to enable Export custom routes.
4.- Identify the allocated range used by the private services connection.
5.- Create a Cloud Router custom route advertisement for the allocated range on the Cloud Routers managing BGP sessions for your Cloud VPN tunnels or Cloud Interconnect attachments (VLANs).
Related
Is there a way to proxy/ port forward GCP Cloud SQL so that we can connect to it via the internet?
I don't want to do an SSH port forward via a Virtual Machine. Instead, I'm looking for a way such that we could connect to CloudSQL from a public IP of either a Virtual Machine or a Kubernetes service.
I don't want to connect directly from the public IP of the CloudSQL instance as it requires us to whitelist the user's IP address. We have also tried the Cloud SQL proxy but faced speed and performance issues.
Hence, now I'm looking for a solution to proxy the CloudSQL connection from a VM or Kubernetes service
I have tried using Stunnel to proxy the connection as described in this documentation.
output=/tmp/stunnel.log
CAfile=/tmp/mysql-server-ca.pem
client=yes
pid=/var/run/stunnel.pid
verifyChain=yes
sslVersion=TLSv1.2
[mysqls]
accept=0.0.0.0:3307
connect=private-ip:3306
But, I get an error while connecting to the MySQL server:
ERROR 2013 (HY000): Lost connection to MySQL server at 'reading initial communication packet', system error: 104
Edit:
Stunnel runs on a Virtual Machine on Google Cloud
Stunnel connects to CloudSQL via Private IP (Both VM and CloudSQL share the same subnet)
MySQL can be connected from the VM using the private IP
Stunnel Logs:
2022.09.22 10:53:17 LOG5[2]: Service [mysqls] accepted connection from 127.0.0.1:37014
2022.09.22 10:53:17 LOG5[2]: s_connect: connected <mysql-private-ip>:3306
2022.09.22 10:53:17 LOG5[2]: Service [mysqls] connected remote server from 10.128.0.53:53302
2022.09.22 10:53:17 LOG3[2]: SSL_connect: ../ssl/record/ssl3_record.c:331: error:1408F10B:SSL routines:ssl3_get_record:wrong version number
2022.09.22 10:53:17 LOG5[2]: Connection reset: 0 byte(s) sent to TLS, 0 byte(s) sent to socket
To access a Cloud SQL from a Compute Engine VM try the following, you can use either the Cloud SQL Auth proxy (with public or private IP), or connect directly using a private IP address
From the client machine or Compute Engine VM instance, use What's my
IP to see the IP address of the client machine.
Copy that IP address. In the Google Cloud console, go to the Cloud
SQL Instances page.
Go to Cloud SQL Instances
To open the Overview page of an instance, click the instance name.
Select Connections from the SQL navigation menu.
In the Authorized networks section, click Add network and enter the
IP address of the machine where the client is installed. Note: The IP
address of the instance and the MySQL client IP address you authorize
must be the same IP version: either IPv4 or IPv6
Click Done. Then click Save at the bottom of the page to save your
changes. Connect to your instance, either with SSL or without SSL.
To access a Cloud SQL instance from an application running in Google Kubernetes Engine, you can use either the Cloud SQL Auth proxy (with public or private IP), or connect directly using a private IP address. To connect to Cloud SQL you must have:
A GKE cluster, with the kubectl command-line tool installed and
configured to communicate with the cluster. For help getting started
with GKE, see the Quickstart.
Check the document for steps on how to configure without SSL
For Public IP-configured instances, a public-facing IPv4 address may
be enabled, allowing users outside the GCP project and VPC network to
connect to the instance.
Check the similar example here.
I have created a private Cloud SQL instance in an app project. The network used is a shared VPC and it is hosted in a network project.
In the shared VPC:
The private access connection is enabled
An automatic internal IP range has been allocated for private connection
A private connection has been created
If I go to the VPC Network > VPC Network Peering page, I don't see a peering connection named cloudsql-mysql-googleapis-com. Therefore, I cannot connect to my cloud SQL instance using its private IP address. I can only reach the cloud SQL instance using its public IP address.
The same infrastructure works for the development environment, I use terraform to generate the GCP resources. The two environments have exactly the same configuration.
Source code: https://gitlab.com/Chabane87/cloudsql-issue
Does anyone know when this problem can happen?
Thanks
Based on the discussion about this issue on our another support channel, it seems connectivity tests were run to zero in on the problem. While the connection from one of your instances to Cloud SQL succeeded using public IP, it failed when using private IP but that is the intended behaviour.
The Telnet test was conducted later using live traffic from the instance to Cloud SQL and found that a port is missing in the production environment while it is defined correctly in the development environment and hence it is confirmed there is no issue with the Networking. So, please try to connect to the Cloud SQL after adding the missing port to the prod project.
I connect to a Google Cloud MySQL DB from my laptop, however my IP address not only changes at home, but also when I travel. I have to specify the allowed public ip address in Google Cloud, but every time I reconnect I have to log in & update google cloud with my new IP address.
What is the best solution to not have to do that?
To solve this issue you should use Cloud SQL Auth proxy:
The Cloud SQL Auth proxy provides secure access to your instances without the need for Authorized networks or for configuring SSL.
You can find more details how it works at the documentation:
The Cloud SQL Auth proxy works by having a local client running in the
local environment. Your application communicates with the Cloud SQL
Auth proxy with the standard database protocol used by your database.
The Cloud SQL Auth proxy uses a secure tunnel to communicate with its
companion process running on the server.
While the Cloud SQL Auth proxy can listen on any port, it only creates
outgoing connections to your Cloud SQL instance on port 3307. If your
client machine has an outbound firewall policy, make sure it allows
outgoing connections to port 3307 on your Cloud SQL instance's IP.
I have a .net core app installed as a docker on google cloud run, this app that needs to be connected to cloud sql (mysql).
When using the private ip address it, it's not working.
When using public IP, it's working, but It's not a good solution for production.
this is my connection string:
"ConnectionString": "server=10.4.16.6;database=mydb;user=root;pwd=mypwd"
When I create the app, Im able to select the database i need to connect to:
But this is not helping to connect.
The relevant docs are explaining how to do it for python and java explictly.
If you do not want to use public IP then you would need to rely on service account to connect to Cloud SQL. However, .net MySQL driver has no understanding of GCP IAM and Service accounts. So you will need to use a proxy called Cloud SQL Proxy. Cloud SQL Proxy understands IAM and Service accounts.
The flow will basically look like this:
Your app -> Regular MySQL Port -> Cloud SQL Proxy(Installed in the
app's network or locally) -> CloudSQL
You will need to do the following:
Create a service account
Assign the role of Cloud SQL Client to the created service account
Download the service account key in the json format
Set env variable GOOGLE_APPLICATION_CREDENTIALS=C:\Downloaded.json
Download Cloud SQL Proxy
Run it `cloud_sql_proxy -instances=projectname:regioname:instanceid=tcp:3306
At this point you MySQL proxy ready to accept connections at 3306, modify the connection string to take localhost or wherever you installed the Cloud SQL Proxy.
Learn more at About the Cloud SQL Proxy
You can create the Cloud Run app from the console (and select the Cloud SQL Connection) or from the gcloud command line and specify
--add-cloudsql-instances <INSTANCE-NAME> --set-env-vars INSTANCE-CONNECTION-NAME="INSTANCE_CONNECTION_NAME"
These settings automatically enable and configures the Cloud SQL proxy. You can connect to the proxy, from your asp.net Core app, using the unix domain socket using the format: /cloudsql/INSTANCE_CONNECTION_NAME.
I used the following connection string in my appsettings.json and it worked for me:
"Server=/cloudsql/INSTANCE_CONNECTION_NAME;Database=DB_NAME;Uid=USER_NAME;Pwd=PASSWORD;Protocol=unix"
NB. Make sure you have given the service account that your Cloud Run app is running under Cloud SQL Client role in IAM
The new Google Cloud SQL Engine creates its own VM instance to run a MySQL database, with an exposed public IP address. I was hoping that it would be possible to VPN into the Google Compute Cloud, then connect to the MySQL VM instance internally. Is this possible? The computer I am trying to connect from is a physical machine located outside of the cloud.
If it's not possible, what if I connect via VPN and use the public IP address to connect to the MySQL instance? Would it resolve to the internal network quickly and mimic the behavior of a local connection (no delay)? Or would it have the same performance as connected to the external IP address with no VPN in place?
Sorry, there's currently no VPN/private IP support for Cloud SQL. At the moment, you can use instance settings to control which IPs are allowed to connect. By default, the mysql server is locked down from all external connectivity.
Connecting through a VPN should not improve latency and may in fact hurt it depending on how things are setup. I would recommend doing your own test if that's something you wish to verify.
You can also use the Cloud SQL Proxy to connect externally which uses SSL certs to establish an SSL tunnel to MySQL.