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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/09/01 12:04:45 UTC
[jira] [Resolved] (SPARK-9878) ReduceByKey + FullOuterJoin return
0 element if using an empty RDD
[ https://issues.apache.org/jira/browse/SPARK-9878?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-9878.
------------------------------
Resolution: Cannot Reproduce
Agree, I also can't reproduce this.
> ReduceByKey + FullOuterJoin return 0 element if using an empty RDD
> -------------------------------------------------------------------
>
> Key: SPARK-9878
> URL: https://issues.apache.org/jira/browse/SPARK-9878
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.4.0
> Environment: linux ubuntu 64b spark-hadoop
> launched with Local[2]
> Reporter: durand remi
> Priority: Minor
>
> code to reproduce:
> println("ok :"+sc.parallelize(List((3,4),(4,5))).fullOuterJoin(sc.emptyRDD[(Int,Seq[Int])]).count)
> println("ko: "+sc.parallelize(List((3,4),(4,5))).fullOuterJoin(sc.emptyRDD[(Int,Seq[Int])].reduceByKey((e1, e2) => e1 ++ e2)).count)
> what i expect:
> ok: 2
> ko: 2
> but what i have:
> ok: 2
> ko: 0
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