File path error in pipeline for spark notebook in azure synapse

Question

I have a spark notebook which I am running with the help of pipeline. The notebook is running fine manually but in the pipeline it is giving error for file location. In the code I am loading the file in a data frame. The file location in the code is abfss://storage_name/folder_name/* and in pipeline it is taking abfss://storage_name/filename.parquet\n

This is the error { "errorCode": "6002", "message": "org.apache.spark.sql.AnalysisException: Path does not exist: abfss://storage_name/filename.parquet\n at org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$checkAndGlobPathIfNecessary$4(DataSource.scala:806)\n\n at org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$checkAndGlobPathIfNecessary$4$adapted(DataSource.scala:803)\n\n at org.apache.spark.util.ThreadUtils$.$anonfun$parmap$2(ThreadUtils.scala:372)\n\n at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)\n\n at scala.util.Success.$anonfun$map$1(Try.scala:255)\n\n at scala.util.Success.map(Try.scala:213)\n\n at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)\n\n at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)\n\n at scala.c oncurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)\n\n at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)\n\n at java.util.concurrent.ForkJoinTask$RunnableExecuteAction.exec(ForkJoinTask.java:1402)\n\n at java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)\n\n at java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)\n\n at java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1692)\n\n at java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:175)\n", "failureType": "UserError", "target": "notebook_name", "details": [] }

Answer 1

The above error mainly happens because of permission issue, the synapse workspace required lack of permissions to access storage account, so you need to grant storage blob contributor role.

To add storage account contributor role to your workspace, refer this Microsoft documentation

And also, make sure to check whether you are following ADLS gen2 proper syntax or not.

abfss://<container_name>@<storage_account_name>.dfs.core.windows.net/<path>

Sample code

df = spark.read.load('abfss://<container_name>@<storage_account_name>.dfs.core.windows.net/samplefile.parquet>', format='parquet')

For more detail information refer this link .

Answer 2

Added my synapse workspace under the required access. Hence, worked.