cancel
Showing results forย 
Search instead forย 
Did you mean:ย 
Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
cancel
Showing results forย 
Search instead forย 
Did you mean:ย 

How to enable spark.shuffle.compress in spark 3.3.0 or above versions?

Ankith
New Contributor

when I try to set that I got a following error, appreciate your comments, thanks you in advance.

image.png

1 ACCEPTED SOLUTION

Accepted Solutions

Anonymous
Not applicable

@Ankith Patlollaโ€‹ :

The reason you're getting the error "cannot modify the value of a spark config - spark.shuffle.compress" is because you're trying to modify a Spark configuration property that is marked as final and can't be changed after the Spark application has started.

In Databricks, the recommended way to set Spark configuration properties is through the spark.conf.set() method in a notebook or job. However, some Spark configuration properties, like spark.shuffle.compress, cannot be modified after Spark has started. If you need to set spark.shuffle.compress

in Databricks, you can set it in the Spark configuration of the cluster. Here's how you can do it:

  1. Go to your Databricks workspace.
  2. Click on the "Clusters" tab.
  3. Select the cluster for which you want to set the spark.shuffle.compress property.
  4. Click on the "Edit" button.
  5. Scroll down to the "Spark" section and expand it.
  6. Click on the "Advanced Options" tab.
  7. In the "Spark Config" field, add the following line: spark.shuffle.compress true
  8. Click on the "Save" button.

This will set the spark.shuffle.compress property for the selected cluster.

View solution in original post

2 REPLIES 2

Anonymous
Not applicable

@Ankith Patlollaโ€‹ :

The reason you're getting the error "cannot modify the value of a spark config - spark.shuffle.compress" is because you're trying to modify a Spark configuration property that is marked as final and can't be changed after the Spark application has started.

In Databricks, the recommended way to set Spark configuration properties is through the spark.conf.set() method in a notebook or job. However, some Spark configuration properties, like spark.shuffle.compress, cannot be modified after Spark has started. If you need to set spark.shuffle.compress

in Databricks, you can set it in the Spark configuration of the cluster. Here's how you can do it:

  1. Go to your Databricks workspace.
  2. Click on the "Clusters" tab.
  3. Select the cluster for which you want to set the spark.shuffle.compress property.
  4. Click on the "Edit" button.
  5. Scroll down to the "Spark" section and expand it.
  6. Click on the "Advanced Options" tab.
  7. In the "Spark Config" field, add the following line: spark.shuffle.compress true
  8. Click on the "Save" button.

This will set the spark.shuffle.compress property for the selected cluster.

Anonymous
Not applicable

Hi @Ankith Patlollaโ€‹ 

Thank you for posting your question in our community! We are happy to assist you.

To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers your question?

This will also help other community members who may have similar questions in the future. Thank you for your participation and let us know if you need any further assistance! 

Connect with Databricks Users in Your Area

Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโ€™t want to miss the chance to attend and share knowledge.

If there isnโ€™t a group near you, start one and help create a community that brings people together.

Request a New Group