Automated Continuous Google Translate Replication to Google Cloud SQL

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Google Translate data into your Google Cloud SQL instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.

Configure Google Cloud SQL as a Replication Destination

Using CData Sync, you can replicate Google Translate data to Google Cloud SQL. To add a replication destination, navigate to the Connections tab. Then select the appropriate destination based on your Google Cloud SQL service (MySQL, PostgreSQL, or SQL Server).

MySQL

1. Click Add Connection.
2. Select MySQL as a destination.
3. Enter the necessary connection properties. To connect to MySQL, set the following:
   • Server: The IP address or domain name of the server you want to connect to.
   • Port: The port where the server is running.
   • User: The username of a user with read/write access to the database.
   • Password: The password of a user with read/write access to the database.
   • Database: The name of the database.
4. Click Test Connection to ensure that the connection is configured properly.
5. Click Save Changes.

Jump to configuring the Google Translate connection.

PostgreSQL

1. Click Add Connection.
2. Select PostgreSQL as a destination.
3. Enter the necessary connection properties. To connect to PostgreSQL, set the following connection properties (CData Sync ships with the Npgsql ADO.NET Provider for PostgreSQL):
   • Server: The address of the server hosting the PostgreSQL database.
   • Port: The port used to connect to the server hosting the PostgreSQL database.
   • User: The user ID provided for authentication with the PostgreSQL database.
   • Password: The password provided for authentication with the PostgreSQL database.
   • Database: The name of the database.
4. Click Test Connection to ensure that the connection is configured properly.
5. Click Save Changes.

Jump to configuring the Google Translate connection.

SQL Server

1. Click Add Connection.
2. Select SQL Server as a destination.
3. Enter the necessary connection properties. To connect to SQL Server, set the following:
   • Server: The name or network address of the computer running SQL Server.
   • User: The username provided for authentication with SQL Server, if using forms authentication.
   • Password: The password provided for authentication with SQL Server, if using forms authentication.
   • Database: The name of the SQL Server database.

   Java Edition

   The Java version requires the Microsoft SQL Server JDBC driver, which can be downloaded from the Microsoft Download Center. Copy the JDBC driver to the lib folder of your Java Web server to make a connection.

4. Click Test Connection to ensure that the connection is configured properly.
5. Click Save Changes.

Jump to configuring the Google Translate connection.

Configure the Google Translate Connection

You can configure a connection to Google Translate from the Connections tab. To add a connection to your Google Translate account, navigate to the Connections tab.

1. Click Add Connection.
2. Select a source (Google Translate).
3. Configure the connection properties.
   
   

   Authentication

   Google Cloud Translation API requires OAuth 2.0 authentication to ensure secure access to translation services, datasets, glossaries, and adaptive MT resources. This authentication method allows you to securely connect to your Google Cloud project and manage translation resources with proper authorization.

   OAuth 2.0 Setup and Configuration

   Step 1: Create Google Cloud Project and Enable API

   To set up OAuth authentication:

   1. Visit the Google Cloud Console
   2. Create a new project or select an existing project
   3. Note down your Project ID (required for all API calls)
   4. Navigate to "APIs & Services" > "Library"
   5. Search for and enable the "Cloud Translation API"
   6. Go to "APIs & Services" > "Credentials"
   7. Click "Create Credentials" and select "OAuth Client ID"
   8. Configure the OAuth consent screen if prompted
   9. Select "Desktop application" or "Web application" as appropriate
   10. Set the authorized redirect URI (CallbackURL)
   11. Copy the Client ID and Client Secret for use in your connection

   Required Connection Properties

   • AuthScheme: Set this to OAuth (required)
   • OAuthClientId: Client ID from Google Cloud Console (required)
   • OAuthClientSecret: Client secret from Google Cloud Console (required)
   • CallbackURL: Redirect URI specified in your OAuth application (required)
   • InitiateOAuth: Set to GETANDREFRESH for automatic token management (recommended)
   • ProjectId: Your Google Cloud project ID or project number (required for queries)

   Required OAuth Scopes

   The Google Cloud Translation API Profile requires the following OAuth scope:

   • https://www.googleapis.com/auth/cloud-translation - Full access to Cloud Translation API resources including translation, datasets, glossaries, and adaptive MT
   
4. Click Connect to ensure that the connection is configured properly.
5. Click Save Changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

Replicate Entire Tables

To replicate an entire table, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.

Customize Your Replication

You can use the Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to the replication.

Schedule Your Replication

In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals ranging from once every 10 minutes to once every month.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Google Translate data to Google Cloud SQL.