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https://issues.apache.org/jira/browse/HIVE-18148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16297915#comment-16297915
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Rui Li commented on HIVE-18148:
-------------------------------
[~kellyzly], we can remove either DPP1 or DPP2 to fix the NPE. I keep the upper
most DPP sink mainly for simplicity. Another rationale is the deeper the DPP
sink, the more operators get re-computed.
We can implement more complicated rules based on statistics, which can be done
as follow ups.
> NPE in SparkDynamicPartitionPruningResolver
> -------------------------------------------
>
> Key: HIVE-18148
> URL: https://issues.apache.org/jira/browse/HIVE-18148
> Project: Hive
> Issue Type: Bug
> Components: Spark
> Reporter: Rui Li
> Assignee: Rui Li
> Attachments: HIVE-18148.1.patch, HIVE-18148.2.patch
>
>
> The stack trace is:
> {noformat}
> 2017-11-27T10:32:38,752 ERROR [e6c8aab5-ddd2-461d-b185-a7597c3e7519 main]
> ql.Driver: FAILED: NullPointerException null
> java.lang.NullPointerException
> at
> org.apache.hadoop.hive.ql.optimizer.physical.SparkDynamicPartitionPruningResolver$SparkDynamicPartitionPruningDispatcher.dispatch(SparkDynamicPartitionPruningResolver.java:100)
> at
> org.apache.hadoop.hive.ql.lib.TaskGraphWalker.dispatch(TaskGraphWalker.java:111)
> at
> org.apache.hadoop.hive.ql.lib.TaskGraphWalker.walk(TaskGraphWalker.java:180)
> at
> org.apache.hadoop.hive.ql.lib.TaskGraphWalker.startWalking(TaskGraphWalker.java:125)
> at
> org.apache.hadoop.hive.ql.optimizer.physical.SparkDynamicPartitionPruningResolver.resolve(SparkDynamicPartitionPruningResolver.java:74)
> at
> org.apache.hadoop.hive.ql.parse.spark.SparkCompiler.optimizeTaskPlan(SparkCompiler.java:568)
> {noformat}
> At this stage, there shouldn't be a DPP sink whose target map work is null.
> The root cause seems to be a malformed operator tree generated by
> SplitOpTreeForDPP.
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