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Hello Folks, We are using Snowflake as source and sink in ADF dataflow, with some transformation steps in between. Dataflow is throwing below error during execution.
Job failed due to reason: Job aborted due to stage failure: Task 1 in stage 14.0 failed 1 times, most recent failure: Lost task 1.0 in stage 14.0 (TID 71) (vm-dce45400 executor 1): java.lang.NullPointerException
at net.snowflake.client.jdbc.telemetryOOB.TelemetryService$TELEMETRY_SERVER_DEPLOYMENT.access$000(TelemetryService.java:217)
at net.snowflake.client.jdbc.telemetryOOB.TelemetryService.getServerDeploymentName(TelemetryService.java:256)
at net.snowflake.client.jdbc.telemetryOOB.TelemetryEvent$Builder.<init>(TelemetryEvent.java:126)
at net.snowflake.client.jdbc.telemetryOOB.TelemetryEvent$LogBuilder.<init>(TelemetryEvent.java:61)
at net.snowflake.client.jdbc.SnowflakeSQLLoggedException.sendOutOfBandTelemetryMessage(SnowflakeSQLLoggedException.java:53)
at net.snowflake.client.jdbc.SnowflakeSQLLoggedException.sendTelemetryData(SnowflakeSQLLoggedException.java:220)
at net.snowflake.client.jdbc.SnowflakeSQLLoggedException.<init>(SnowflakeSQLLoggedException.java:245)
at net.snowflake.client.jdbc.Snowf
Has anyone experienced this issue? Insights or recommendations are greatly appreciated.
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Hello Jatinder Luthra,
Can you please check your JDBC version.
Snowflake requires minimum JDBC version to be supported as 3.13.25
https://community.snowflake.com/s/article/faq-2023-client-driver-deprecation-for-GCP-customers
Please check if you can upgrade to either of the following versions to meet the requirements
https://mvnrepository.com/artifact/net.snowflake/spark-snowflake_2.12/2.11.2-spark_3.1
https://mvnrepository.com/artifact/net.snowflake/spark-snowflake_2.13/2.11.3-spark_3.3
https://mvnrepository.com/artifact/net.snowflake/spark-snowflake_2.13/2.11.2-spark_3.3
@Bhargava-MSFT This is all done through ADF, and this error is part of ADF data flow execution. I dont have any control on which jdbc version ADF uses? Please clarify what you mean by JDBC version, in context of ADF.
Sorry for the confusion.
As per recent changes by Google to the signing process, Snowflake requires minimum JDBC version to be supported as 3.13.25
https://community.snowflake.com/s/article/faq-2023-client-driver-deprecation-for-GCP-customers
You are correct. ADF needs to Upgrade spark snowflake connector to use minimum JDBC version as 3.13.25.
I would suggest opening a support case so that support engineer can assist you further in upgrading your datafactory driver version. In case if you don't have a support plan, please let me know. so that I can enable a one time free support request to work on this case.
Thanks @Bhargava-MSFT for sharing this information. We are not using GCP in any way.
We have ADF pipelines trying to read & transform data in Snowflake, which also resides in Azure, in same region. All our infrastructure is in Azure.
Jatinder Luthra, Thanks for the additonal details. My internal team suggested to open a support case so that support egnineer can collect the required details and engage the PG team. In case if you don't have a support plan, please let me know so I can enable a one time free support request to work on this case. I am looking forward to hearing from you.