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https://issues.apache.org/jira/browse/HIVE-18148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16290243#comment-16290243
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liyunzhang commented on HIVE-18148:
-----------------------------------
[~lirui]: If this is found in common join please add comments to describe and
modify some comments, I see following in the patch
{code}
// If a branch is of pattern "RS - MAPJOIN", it means we're on the "small
table" side of a
// map join. Since there will be a job boundary, we shouldn't look for DPPs
beyond this.
private boolean stopAtMJ(Operator<?> op) {
}
{code}
I guess there is no possiblity to see MAPJOIN in this situation.
> 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
>
>
> 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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