[jira] [Assigned] (SPARK-17521) Error when I use sparkContext.makeRDD(Seq())

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17521?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-17521:
------------------------------------

    Assignee:     (was: Apache Spark)

> Error when I use sparkContext.makeRDD(Seq())
> --------------------------------------------
>
>                 Key: SPARK-17521
>                 URL: https://issues.apache.org/jira/browse/SPARK-17521
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.0.0
>            Reporter: WangJianfei
>            Priority: Trivial
>              Labels: easyfix
>
> when i use sc.makeRDD below
> ```
>     val data3 = sc.makeRDD(Seq())
>     println(data3.partitions.length)
> ```
> I got an error:
> Exception in thread "main" java.lang.IllegalArgumentException: Positive number of slices required
> We can fix this bug just modify the last line ,do a check of seq.size
> ````
>   def makeRDD[T: ClassTag](seq: Seq[(T, Seq[String])]): RDD[T] = withScope {
>     assertNotStopped()
>     val indexToPrefs = seq.zipWithIndex.map(t => (t._2, t._1._2)).toMap
>     new ParallelCollectionRDD[T](this, seq.map(_._1), seq.size, indexToPrefs)
>   }
> ```



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org