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SyedAli
Frequent Visitor

Spark error when trying to refresh dataset

Hi,

 

I am getting below error when trying to refresh data from Spark (Azure Databricks)

 

Earlier the model and dataset worked fine, when we pushed some more data in Spark and I tried refreshing I am getting this error. 

 

Any suggestion would be highly appreciated. Thanks.

 

ODBC: ERROR [HY000] [Microsoft][Hardy] (35) Error from server: error code: '0' error message: 'org.apache.spark.SparkException: Job aborted due to stage failure: Total size of serialized results of 85 tasks (4.0 GB) is bigger than spark.driver.maxResultSize (4.0 GB)'. Table: 

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

@SyedAli ,

 

Could you check if the database driver has limited the refresh data size? Please also refer to the similar case below:
https://community.powerbi.com/t5/Service/Azure-Data-Bricks-Data-Refresh/m-p/643085

 

Community Support Team _ Jimmy Tao

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-yuta-msft
Community Support
Community Support

@SyedAli ,

 

Could you check if the database driver has limited the refresh data size? Please also refer to the similar case below:
https://community.powerbi.com/t5/Service/Azure-Data-Bricks-Data-Refresh/m-p/643085

 

Community Support Team _ Jimmy Tao

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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