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URL: https://www.cdata.com/kb/tech/databricks-sync-csv.rst

⇱ Automated Continuous Databricks Replication to Local Delimited Files

Automated Continuous Databricks Replication to Local Delimited Files

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Sync for automated, continuous, customizable Databricks replication to delimited files (CSV/TSV).

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Databricks data into local delimited files (CSV/TSV), 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 CSV/TSV as a Replication Destination

Using CData Sync, you can replicate Databricks data to delimited files, like CSV or TSV. To add a replication destination, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select CSV as a destination. 👁 Configure a Destination connection to CSV.
  3. Enter the necessary connection properties. To connect to a directory for storing delimited files, set the following:
    • Destination Folder: Set this location on the disk for the delimited files.
    • Include Column Headers: Set this to True for the first row in each file to represent the column names.
  4. Click Test Connection to ensure that the connection is configured properly. 👁 Configure a Destination connection.
  5. Click Save Changes.

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.

  1. Click Add Connection.
  2. Select a source (Databricks).
  3. 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).
    👁 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 Databricks data to delimited files.