Forum Discussion
Trouble querying data in ADLS Gen2 from Fabric using a shortcut
Quick update on this: -
I raised a support ticket with Microsoft Fabric Support, and they’ve conducted an in-depth investigation. They were able to replicate the issue when uploading a single Parquet file via the shortcut method above. For this test, I used NYC data from yellow_tripdata_2024-01.parquet.
Interestingly, the issue disappears when multiple files are present in storage or when using other file formats. This confirms that the problem is specific to single Parquet files accessed via shortcuts.
I've now shared this blog with the team, and they have escalated it as a potential bug. Once a solution is found, they will provide an update here.
In the meantime, as a workaround for Parquet files, I'm using: -
df = spark.read.parquet("abfss://container@storage_account.dfs.core.windows.net/*")
display(df)
Hope this helps anyone facing a similar issue!
SukiB
Solution SageI found a similar post here with some errors while reading multiple CSV files: https://community.fabric.microsoft.com/t5/Fabric-platform/Read-multiple-files-in-Fabric-Notebook/td-p/3744395. Can you try to only include the folder which contains the files, like this:
df = spark.read.format("parquet").load("Files/landing-zone")
Thanks FabianSchut.
Tried both the following...
df = spark.read.format("parquet").load("Files/landing-zone")
as well as
df = spark.read.format("parquet").option("header","true").load("Files/landing-zone")
again - same error...
Spark_System_ABFS_OperationFailed
An operation with ADLS Gen2 has failed. This is typically due to a permissions issue. 1. Please ensure that for all ADLS Gen2 resources referenced in the Spark job, that the user running the code has RBAC roles "Storage Blob Data Contributor" on storage accounts the job is expected to read and write from. 2. Check the logs for this Spark application. Inspect the logs for the ADLS Gen2 storage account name that is experiencing this issue.