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https://issues.apache.org/jira/browse/HIVE-18148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16319959#comment-16319959
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Rui Li commented on HIVE-18148:
-------------------------------
Hi [~stakiar],
bq. Is there any way to move the code changes into SplitOpTreeForDPP?
The added code runs during OP tree optimization, which is before
SplitOpTreeForDPP. So we won't generate the malformed tree.
bq. I don't think this is an issue with map-joins correct?
The issue is not related to map join. And we won't remove nested DPP sink if
it's with map join, because SplitOpTreeForDPP doesn't split the tree in this
case.
> 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,
> HIVE-18148.3.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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