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Sahil Takiar commented on HIVE-18831: ------------------------------------- Hey [~lirui], I agree a {{Throwable}} is the most natural thing to expect when something goes wrong, and ideally the exact {{Throwable}} thrown by the Spark job would be propagated to the HS2 Job Monitor. I tried to implement what SPARK-8625 was doing. Attempt to serialize the exception, and fallback to old behavior if that fails. However, that seemed to be quite tricky given how the RPC layer works. I would have to make some invasive changes to {{Rpc#call}} as right now it closes the connection whenever it fails to send a given object. I didn't think making all the necessary changes to the {{Rpc}} class was worth it, which is why I went down the "wrapper" approach. And I believe there are some exceptions that will fail to get serialized, e.g. Scala's {{MatchError}} includes the objects that couldn't get matched. One middle ground would be to make {{SparkJobExceptionWrapper}} extend {{Exception}}, and the {{getMessage()}} call would return the {{rootCause}}. The class would then mainly be present to wrap the String representation of the full stack-trace (accessible via {{getFullStackTrace()}}). > Differentiate errors that are thrown by Spark tasks > --------------------------------------------------- > > Key: HIVE-18831 > URL: https://issues.apache.org/jira/browse/HIVE-18831 > Project: Hive > Issue Type: Sub-task > Components: Spark > Reporter: Sahil Takiar > Assignee: Sahil Takiar > Priority: Major > Attachments: HIVE-18831.1.patch, HIVE-18831.2.patch, > HIVE-18831.3.patch, HIVE-18831.4.patch, HIVE-18831.6.patch, HIVE-18831.7.patch > > > We propagate exceptions from Spark task failures to the client well, but we > don't differentiate between errors from HS2 / RSC vs. errors thrown by > individual tasks. > Main motivation is that when the client sees a propagated Spark exception its > difficult to know what part of the excution threw the exception. -- This message was sent by Atlassian JIRA (v7.6.3#76005)