To connect Databricks to Memorystore Redis from a non-GCP hosted environment, you will need to use a VPN or other tunneling mechanism to create a secure connection between Databricks and the GCP network. Once you have established a connection, you can then use the standard Redis client libraries to connect to Memorystore Redis.
To connect Databricks to Memorystore Redis from a non-GCP hosted environment using a VPN, follow these steps:
-
Set up a Cloud VPN on GCP: This will securely connect your external network (where Databricks is hosted) to your VPC network in GCP.
-
Configure Databricks to use the VPN: Once the VPN connection is established, this step will allow Databricks to access resources on the GCP network.
-
Install the Redis client library: Depending on your programming language, install the appropriate Redis client library on Databricks.
-
Configure Memorystore Redis: Allow connections from the VPN subnet to your Memorystore Redis instance.
-
Connect to Memorystore Redis: Utilize the Redis client library and connect using the private IP address of the Memorystore Redis instance.
Additional notes:
- Consider using a managed Redis service like Redis Cloud for direct connectivity to Databricks. Be aware of potential costs or other considerations.
- If VPN setup isn't feasible, consider using a bastion host to connect to Memorystore Redis. This method has security implications, so use it as a last resort.
- Ensure the VPC network firewall rules are configured to allow traffic from the VPN's IP range to the Memorystore Redis instance.
Python code example:
import redis
# Replace `<private-ip-address>` with the actual private IP address of your Memorystore Redis instance.
conn = redis.StrictRedis(host='<private-ip-address>', port=6379)
# Set a value in Redis
conn.set('my_key', 'my_value')
# Get a value from Redis
value = conn.get('my_key')
# Print the value
print(value.decode('utf-8'))
LinkedIn
Twitter
