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Automated Continuous Databricks Replication to SQL Server
Use CData Sync for automated, continuous, customizable Databricks replication to SQL Server.
Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Databricks data into your SQL Server instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.
About Databricks Data Integration
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
- Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
- Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
- Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
- Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
Getting Started
Configure SQL Server as a Replication Destination
Using CData Sync, you can replicate Databricks data to SQL Server. To add a replication destination, navigate to the Connections tab.
- Click Add Connection.
- Select the Destinations tab and locate the SQL Server connector.
- Click the Configure Connection icon at the end of that row to open the New Connection page. If the Configure Connection icon is not available, click the Download Connector icon to install the SQL Server connector. For more information about installing new connectors, see Connections in the Help documentation.
- To connect to SQL Server, set the following connection properties:
- Connection Name: Enter a connection name of your choice for the SQL Server connection.
- Server: Enter the name or network address of the computer running SQL Server.
- Port: Enter the port used to connect to the server hosting the SQL Server database.
- Database: Enter the name of the SQL Server database.
- User: Enter the username provided for authentication with SQL Server, if using forms authentication.
- Password: Enter the password provided for authentication with SQL Server, if using forms authentication.
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.
- Once connected, click Create & Test to create, test and save the connection.
You are now connected to SQL Server and can use it as both a source and a destination.
NOTE: You can use the Label feature to add a label for a source or a destination.
In this article, we will demonstrate how to load Databricks data into SQL Server and utilize it as a destination.
Configure the Databricks Connection
You can configure a connection to Databricks from the Connections tab. To add a connection to your Databricks account, navigate to the Connections tab.
- Click Add Connection.
- Select a source (Databricks).
- Configure the connection properties.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
- Server: Set to the Server Hostname of your Databricks cluster.
- HTTPPath: Set to the HTTP Path of your Databricks cluster.
- Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
- Click Connect to Databricks to ensure that the connection is configured properly.
- Click Save & Test to save the 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, navigate to the Task tab in the Job, click Add Tasks, choose the table(s) from the list of Databricks tables you wish to replicate into SQL Server, and click Add Tasks again.
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 with the help of SQL queries.
Schedule Your Replication
Select the Overview tab in the Job, and click Configure under Schedule. You can schedule a job to run automatically by configuring it to run at 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 Databricks data to SQL Server.
Run the Replication Job
Once all the required configurations are made for the job, select the Databricks table you wish to replicate and click Run. After the replication completes successfully, a notification appears, showing the time taken to run the job and the number of rows replicated.
Free Trial & More Information
Now that you have seen how to replicate Databricks data into SQL Server, visit our CData Sync page to explore more about CData Sync and download a free 30-day trial. Start consolidating your enterprise data today!
As always, our world-class Support Team is ready to answer any questions you may have.
