Automated Continuous CData Connect AI Replication to Google Cloud SQL

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live CData Connect AI 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 CData Connect AI 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. 👁 Configure a Destination connection to MySQL.
   
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. 👁 Configure a Destination connection.
   
5. Click Save Changes.

Jump to configuring the CData Connect AI connection.

PostgreSQL

1. Click Add Connection.
2. Select PostgreSQL as a destination. 👁 Configure a Destination connection to PostgreSQL.
   
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. 👁 Configure a Destination connection.
   
5. Click Save Changes.

Jump to configuring the CData Connect AI connection.

SQL Server

1. Click Add Connection.
2. Select SQL Server as a destination. 👁 Configure a Destination connection to SQL Server.
   
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. 👁 Configure a Destination connection.
   
5. Click Save Changes.

Jump to configuring the CData Connect AI connection.

Configure the CData Connect AI Connection

You can configure a connection to CData Connect AI from the Connections tab. To add a connection to your CData Connect AI account, navigate to the Connections tab.

1. Click Add Connection.
2. Select a source (CData Connect AI).
3. Configure the connection properties.
   
   

   There are two ways to connect to Connect AI: OAuth authentication and Basic authentication.

   To connect to Connect AI using OAuth, set Auth Scheme to "OAuth." When the OAuth login page appears in your default web browser, log in to Connect AI to proceed.

   If you are unable to use browser-based OAuth authentication to connect to Connect AI, you can use Basic authentication. In this case, set Auth Scheme to "Basic,"" and then set the User and Personal Access Token for Connect AI.

   Connect to a Workspace

   To connect the JDBC client to a specific workspace, you specify the workspace name in the Advanced tab of the JDBC driver for Connect AI.

   👁 Configuring a Source connection (Salesforce is shown).
   
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.

👁 Select Source and Destination connections for the 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.

👁 Choose entire tables to replicate (Salesforce is shown).

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. 👁 Configure a replication Transform.

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.

👁 Schedule your job to run automatically.

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