Skip to main content

Google Cloud SQL (MySQL)

Nexla's bi-directional connectors can both send data to and receive data from any data system. This means that once a user has created or gained access to a credential for any data system, building any data flow to ingest data from or send data to a location within that data system requires only a few simple steps.

Three Google Cloud SQL connectors are available in Nexla, allowing users to connect to any Cloud SQL instance. This page provides instructions for using the Google Cloud SQL MySQL connector for instances of Cloud SQL used with MySQL databases.

To connect to a different type of Google Cloud SQL instance, see Google Cloud SQL (PostgreSQL) or Google Cloud SQL (SQLServer).

1. Credentials​

This section provides information about and step-by-step instructions for creating a new Google Cloud SQL SQLServer credential in Nexla.

1.1 Add a New Google Cloud SQL MySQL Credential​

  1. After selecting the data source/destination type, in the Authenticate.png screen, click AddANewCredential.png. This will open the Add New Credential window.

      AddNewCredential.png

  2. Enter a name for the credential in the Credential Name field.

      CredName.png

  3. Optional: Enter a description for the credential in the Credential Description field.

      CredDescription.png

  4. Enter the hostname of the database in the Host field.

    The hostname should be an IP Address or text in the format company.domain.com.

    Do not include the connection protocol.

      Host.png

  5. Enter the port that Nexla should use to connect to Cloud SQL in the Port field.

      Port.png

  6. Enter the username associated with the Cloud SQL account in the Username field.

      Username.png

  7. Enter the password for the username entered in Step 5 in the Password field.

      Password.png

  8. Enter the name of the database in the Database Name field.

      DatabaseName.png

  9. Section 1.2 provides information about advanced settings available for Google Cloud SQL MySQL credentials along with step-by-step instructions for configuring each setting.

    • To configure any desired additional advanced settings for this credential, continue to Section 1.2, and complete the relevant steps.

    • To create this credential without configuring any advanced settings, continue to Section 1.3.

1.2 Advanced Settings​

This section covers optional advanced credential settings. To create the Cloud SQL credential without configuring advanced settings, skip to Section 1.3.

  1. Click AdvSettings.png at the bottom of the Add New Credential window to access additional available settings for the Google Cloud SQL MySQL credential.

      AdvSettings2.png

  • Access Google Cloud SQL via an SSH Tunnel

    1. If the database from which data should be read with this credential is not publicly accessible, check the box next to RequiresSSH.png. This will append additional related fields to be populated in the Add New Credential window.

      Selecting this option allows Nexla to connect to a bastion host via SSH, and the database connection will then be provided through the SSH host.

        SSH_Fields.png

    2. Enter the SSH tunnel hostname or IP address of the bastion host running the SSH tunnel server that has access to the database in the SSH Tunnel Host field.

        SSH_TunnelHost.png

    3. Enter the port of the tunnel bastion host to which Nexla will connect in the SSH Tunnel Port field.

        SSH_TunnelPort.png

    4. Create an SSH username for Nexla in the bastion host, and enter that username in the Username for Tunnel field.

      Usually, the username is set as "nexla".

        TunnelUsername.png

1.3 Save and Create the Google Cloud SQL MySQL Credential​

  1. Once all of the relevant steps in the above sections have been completed, click Save.png at the bottom of the Add New Credential screen to save the credential and all entered information.

      Save2.png

  2. The newly added credential will now appear in a tile on the Authenticate.png screen and can be selected for use with a new data source or destination.

2. Data Source​

To ingest data from a Google Cloud SQL location, follow the instructions in Section 2 of Common Setup for Databases & Data Warehouses.

3. Data Destination​

To send data to a Google Cloud SQL location, follow the instructions in Section 3 of Common Setup for Databases & Data Warehouses.