When I ran a notebook with below code
%%pyspark
df = spark.read.load('abfss://edssqltables2@sasyoccutableaudev.dfs.core.windows.net/Report.ACCOUNT.parquet', format='parquet')
display(df.limit(10))
I got Py4JJavaError: An error occurred while calling o1659.load. : Status code: -1 error code: null error message: InvalidAbfsRestOperationExceptionjava.net.UnknownHostException: sasyoccutableaudev.dfs.core.windows.net
This error message is indicating that there is a problem with the hostname specified in the Azure Data Factory pipeline. The hostname "sasyoccutableaudev.dfs.core.windows.net" is not resolving, resulting in a "java.net.UnknownHostException" error. This could be caused by a number of issues, such as a typo in the hostname, a DNS resolution issue, or an issue with the network connection. It would be helpful to check the configuration of the pipeline and ensure that the hostname is spelled correctly and that the necessary DNS and network configurations are in place.
This error message is indicating that there is a problem with the hostname specified in the Azure Data Factory pipeline. The hostname "sasyoccutableaudev.dfs.core.windows.net" is not resolving, resulting in a "java.net.UnknownHostException" error. This could be caused by a number of issues, such as a typo in the hostname, a DNS resolution issue, or an issue with the network connection. It would be helpful to check the configuration of the pipeline and ensure that the hostname is spelled correctly and that the necessary DNS and network configurations are in place.