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https://issues.apache.org/jira/browse/SPARK-17521?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-17521.
-------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull request 15077
[https://github.com/apache/spark/pull/15077]
> 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: Jianfei Wang
> Priority: Trivial
> Labels: easyfix
> Fix For: 2.0.1, 2.1.0
>
>
> 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)
> }
> ```
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