Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Enhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends September 15. Request your voucher.

Reply
NimaiAhluwalia
Continued Contributor
Continued Contributor

DataBricks error

OLE DB or ODBC error: [DataSource.Error] ODBC: ERROR [HY000] [Microsoft][Hardy] (35) Error from server: error code: '0' error message: 'Error running query: org.apache.spark.SparkException: Job aborted due to stage failure: Total size of serialized results of 142 tasks (20.1 GB) is bigger than spark.driver.maxResultSize (20.0 GB)

 

Regards

1 ACCEPTED SOLUTION
v-angzheng-msft
Community Support
Community Support

Hi,   @NimaiAhluwalia 

You need to change this parameter in the cluster configuration. Go into the cluster settings, under Advanced select spark and paste spark.driver.maxResultSize 0 (for unlimited) or whatever the value suits you. Using 0 is not recommended. You should optimize the job by re partitioning.

vangzhengmsft_0-1628670051497.png

 

See the links below for more information:

https://docs.microsoft.com/en-us/azure/databricks/kb/jobs/job-fails-maxresultsize-exception#solution

https://stackoverflow.com/questions/53067556/databricks-exception-total-size-of-serialized-results-i...

https://stackoverflow.com/questions/31058504/spark-1-4-increase-maxresultsize-memory

https://stackoverflow.com/questions/47996396/total-size-of-serialized-results-of-16-tasks-1048-5-mb-...

https://stackoverflow.com/questions/46763214/total-size-of-serialized-results-of-tasks-is-bigger-tha...

https://issues.apache.org/jira/browse/SPARK-12837

 

Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

View solution in original post

1 REPLY 1
v-angzheng-msft
Community Support
Community Support

Hi,   @NimaiAhluwalia 

You need to change this parameter in the cluster configuration. Go into the cluster settings, under Advanced select spark and paste spark.driver.maxResultSize 0 (for unlimited) or whatever the value suits you. Using 0 is not recommended. You should optimize the job by re partitioning.

vangzhengmsft_0-1628670051497.png

 

See the links below for more information:

https://docs.microsoft.com/en-us/azure/databricks/kb/jobs/job-fails-maxresultsize-exception#solution

https://stackoverflow.com/questions/53067556/databricks-exception-total-size-of-serialized-results-i...

https://stackoverflow.com/questions/31058504/spark-1-4-increase-maxresultsize-memory

https://stackoverflow.com/questions/47996396/total-size-of-serialized-results-of-16-tasks-1048-5-mb-...

https://stackoverflow.com/questions/46763214/total-size-of-serialized-results-of-tasks-is-bigger-tha...

https://issues.apache.org/jira/browse/SPARK-12837

 

Best Regards,
Community Support Team _ Zeon Zheng
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

Helpful resources

Announcements
August Power BI Update Carousel

Power BI Monthly Update - August 2025

Check out the August 2025 Power BI update to learn about new features.

August 2025 community update carousel

Fabric Community Update - August 2025

Find out what's new and trending in the Fabric community.

Top Solution Authors
Top Kudoed Authors