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https://issues.apache.org/jira/browse/SPARK-17521?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15487089#comment-15487089
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Sean Owen commented on SPARK-17521:
-----------------------------------
Reaching way back to page [~pwendell] -- do you have any view on whether it's
probably right to deprecate makeRDD() at this point in favor of parallelize()?
> 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)
> }
> ```
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