LivyHttpRequestFailure error when updating Delta Table.

[BW_RFA]

I am updating a delta table using a spark sql merge statement. 

The data I am using to merge can contain duplicates on the ID, so I am splitting the data into deduplicatged portions and running the merge statement multiple times in sequence. The merge runs ok with the majority of the data 2/3 times, then when there are only 1 or 2 records to merge I get a Failure error as below.

Advice on the error and also the process I am using to solve this problem welcome. 

Below is what I am trying to do.

1) Is the error due to capacity/memory?

2) Should I combine the update into 1 row before I merge with the existing table instead of sequential merges? 

[v-cboorla-msft]

Hi @BW_RFA 

Thanks for using Microsoft Fabric Community.

Apologies for the inconvenience.

The LivyHttpRequestFailure error you are encountering while using a spark sql merge statement indicates that there was an issue with the Livy service while processing your request. The HTTP status code 500 suggests that the server encountered an internal error during the request processing. This error can occur due to various reasons, such as network connectivity issues or resource constraints. 

Wait and Retry: Sometimes, the issue might be temporary. Consider waiting and trying the operation again later. If the problem persists, proceed to the next steps.

Check Resource Utilization: Verify that your Synapse Analytics workspace has sufficient resources available to run your job. Insufficient resources could lead to errors. You can check the resource utilization by navigating to the “Monitoring hub” section of your Synapse Analytics workspace.

Ensure that the assigned Apache Spark pool has enough capacity to handle the data you’re processing. If the pool is under-provisioned, it could result in errors.

Combine Updates into One Row: Instead of performing sequential merges for individual records, consider combining the updates into a single row before merging with the existing table. This approach can reduce the overhead of multiple merge operations and potentially improve performance.

You can refer this thread which might help you : One Large Text File Parsing 200MB Error 500.

I hope this information helps. Please do let us know if you have any further questions.

Thanks.

[BW_RFA · Accepted solution]

Thanks, I have merged the duplicate rows and have not faced the issue again. Performance is much better.

Thanks