Dataflow no longer working due to memory issue

[Anonymous]

I have a dataflow that last worked on 9/17.  According to the refresh history it processed 8M rows.  Yesterday I tried to run the same dataflow and received this error.  Nothing has changed with the dataflow.

Append: Error Code: Mashup Exception Data Format Error, Error Details: Couldn't refresh the entity because of an issue with the mashup document MashupException.Error: DataFormat.Error: Failed to insert a table., Underlying error: Parquet: class parquet::ParquetStatusException (message: 'Out of memory: malloc of size 1610612736 failed') Details: Reason = DataFormat.Error;Message = Parquet: class parquet::ParquetStatusException (message: 'Out of memory: malloc of size 1610612736 failed');Message.Format = Parquet: class parquet::ParquetStatusException (message: 'Out of memory: malloc of size 1610612736 failed');Microsoft.Data.Mashup.Error.Context = System (Request ID: 127d0336-cc7a-406c-9256-160c05fe40b6).

The dataflow is taking one column from two tables, appending them together, removing duplicates, and then adding an index.  How come I'm getting this error when I changed nothing with my dataflow?

[Anonymous]

Hi @Anonymous ,

For the memory issue, Lakehouse requires Parquet if the configured destination is lakehouse, so the dataflow engine buffers all this data and converts it to Parquet, which is quite memory intensive.

Monitor the CPU, memory, and network usage of the dataflow job to identify any potential bottlenecks. This can help you understand if the dataflow is running out of memory due to resource constraints.

In addition, proper use of staging can optimize the performance of processing, refer to the following documentation.

Dataflow Gen2 data destinations and managed settings - Microsoft Fabric | Microsoft Learn

An overview of refresh history and monitoring for dataflows. - Microsoft Fabric | Microsoft Learn

Best Regards,
Adamk Kong

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[Anonymous]

Hi, the data destination is not lakehouse.  I do not have a data destination configured.

How can I monitor the CPU, memory, and network usage of the dataflow job?  The monitoring Hub provides none of these details