[
https://issues.apache.org/jira/browse/HIVE-7372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14057936#comment-14057936
]
Xuefu Zhang commented on HIVE-7372:
-----------------------------------
[~chengxiang li] In my original POC code, I had the following way of cloning,
which somehow got lost during refactoring/rebasing.
{code}
@Override
public void collect(BytesWritable key, BytesWritable value) throws
IOException {
result.add(new Tuple2<BytesWritable, BytesWritable>(new
BytesWritable(key.copyBytes()),
new BytesWritable(value.copyBytes())));
}
{code}
Could you evaluate this and your approach?
> Select query gives unpredictable incorrect result when parallelism is greater
> than 1 [Spark Branch]
> ---------------------------------------------------------------------------------------------------
>
> Key: HIVE-7372
> URL: https://issues.apache.org/jira/browse/HIVE-7372
> Project: Hive
> Issue Type: Bug
> Components: Spark
> Reporter: Xuefu Zhang
> Assignee: Chengxiang Li
> Attachments: HIVE-7372.patch
>
>
> In SparkClient.java, if the following property is set, unpredictable,
> incorrect result may be observed.
> {code}
> sparkConf.set("spark.default.parallelism", "1");
> {code}
> It's suspected that there are some concurrency issues, as Spark may process
> multiple datasets in a single JVM when parallelism is greater than 1 in order
> to use multiple cores.
> NO PRECOMMIT TESTS. This is for spark branch only.
--
This message was sent by Atlassian JIRA
(v6.2#6252)
