Failure happened on 'destination' side. ErrorCode=LakehouseTimeoutError

Hi KerenLopez 

LakehouseTimeoutError is often caused by poor network performance between the Data Factory runtime and the Lakehouse storage account. Ensure that your network connection is stable and has sufficient bandwidth to handle the data transfer.

LakehouseOperationFailed indicates that the stream does not support concurrent IO read or write operations. This can happen when multiple pipelines try to access the same resource simultaneously.

You can configure the concurrency settings in your pipeline to limit the number of parallel executions. This can help prevent conflicts and reduce the load on your network and Lakehouse storage.

Adjusting the batch size per pipeline can help manage the volume of data being transferred at any given time. Smaller batch sizes can reduce the likelihood of timeouts and improve overall stability.

Instead of running all four pipelines simultaneously, consider staggering their execution times. This can help distribute the load more evenly and reduce the chances of network congestion and concurrent access issues.

Use the most efficient data transfer methods available in Microsoft Fabric. For example, using the Copy tool in pipelines can help optimize the data transfer process.

Regards,

Nono Chen

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