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Hi Experts ,
Am trying to insert Data from Azure datalake gen2 to delta table (delta table in azure data lake gen2) via Copy Data Activity in Azure dataFactory.
At times i get this error 'ErrorCode=AzureDatabricksCommandError,Hit an error when running the command in Azure Databricks. Error details: shaded.databricks.org.apache.hadoop.fs.azure.AzureException: java.io.IOException: Blob operation is not supported'
The data which i am loading ~8k records and its small data
i checked the spark UI but don't see any failed jobs .
My source Dataset is created on Top of AzureDatalakeGen2 -->ParquetFormat
My Destination Dataset is created on Top of AzureDatabricks Deltalake --> Tablename
did anyone face anything like this anytime?
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Hi @n k ,
Thanks for using Microsoft Q&A !!
It looks like you have not mounted the storage account on you databricks correctly as for ADLS gen2 account, you need to use abfss://<account>.dfs.core.windows.net to mount storage account as ADLS gen2 storage.
Can you please follow unmount your current storage by dbutils.fs.unmount(＜path＞) and mount ADLS Gen2 storage by using the steps mentioned in Mount ADLS Gen2 storage documentation.
Please let me know if you have any questions.
Thanks
Saurabh
Hi Saurabh,
Thank You for the response !!.
But as i said this issue does not happen always but once in a while . Lets say if i run the job 10 times in a day then 9 time i don't get any error and data gets inserted. Do you still feel its mounting issue ?
The reason i posted this query was due to fact that we had put the solution in production and at times it fails resulting in displeasure of user . i don't see any info in spark UI as well which can be taken for reference and corrected.
@n k It looks like a weird behavior. I suggest you to please open a Support ticket so that someone could look into your environment. please let me know, in case you have any limitations opening a support case.
Thanks
Saurabh
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I am facing the same issue . my copy and move command worked fine yesterday and today it gives me this error . Please update here once you find a solution .