How To Check Databricks Version

Checking Databricks Version

To check the Databricks version, you can follow these steps:

1. Login to Databricks: Open your web browser and navigate to your Databricks workspace URL. Log in with your credentials.
2. Access the Cluster Page: Once logged in, go to the Compute page in your Databricks workspace. Click on the All-Purpose compute tab to view your existing clusters.
3. Check the Runtime Version: Look for the Databricks Runtime Version field on the cluster configuration page. This will display the current version of Databricks Runtime being used.
4. Use SQL Command: Alternatively, you can use the SQL command SELECT version(); in a Databricks notebook to retrieve the Apache Spark version. However, this does not directly provide the Databricks Runtime version.

Frequently Asked Questions

Q: What is the latest Databricks Runtime version?

A: As of the latest updates, Databricks Runtime 15.4 LTS Beta is one of the newest versions available.

Q: How do I upgrade my Databricks Runtime version?

A: To upgrade, review the release notes, create a new cluster with the desired version, test your workflows, and then migrate to production.

Q: What Apache Spark version does Databricks Runtime 15.x use?

A: Databricks Runtime versions 15.x typically use Apache Spark version 3.5.0.

Q: Can I use HTML in Databricks notebooks?

A: Yes, you can use HTML in Databricks notebooks with the displayHTML function.

Q: How do I check the Databricks SQL version?

A: Use the SQL command SELECT current_version().dbsql_version; to retrieve the Databricks SQL version.

Q: What is the difference between Databricks Runtime and Databricks SQL?

A: Databricks Runtime refers to the environment for running Spark jobs, while Databricks SQL is specifically for SQL queries and data analysis.

Q: How often are new Databricks Runtime versions released?

A: New versions of Databricks Runtime are released regularly, often with monthly updates or major releases every few months.

Bottom Line

Checking and managing your Databricks version is crucial for ensuring compatibility, performance, and security in your data analytics workflows. Regularly reviewing and updating your Databricks Runtime can help you leverage the latest features and improvements.

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