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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/07/20 16:49:20 UTC
[jira] [Resolved] (SPARK-16613) RDD.pipe returns values for empty
partitions
[ https://issues.apache.org/jira/browse/SPARK-16613?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin resolved SPARK-16613.
---------------------------------
Resolution: Fixed
Assignee: Sean Owen
Fix Version/s: 2.1.0
2.0.1
> RDD.pipe returns values for empty partitions
> --------------------------------------------
>
> Key: SPARK-16613
> URL: https://issues.apache.org/jira/browse/SPARK-16613
> Project: Spark
> Issue Type: Bug
> Reporter: Alex Krasnyansky
> Assignee: Sean Owen
> Fix For: 2.0.1, 2.1.0
>
>
> Suppose we have such Spark code
> {code}
> object PipeExample {
> def main(args: Array[String]) {
> val fstRdd = sc.parallelize(List("hi", "hello", "how", "are", "you"))
> val pipeRdd = fstRdd.pipe("/Users/finkel/spark-pipe-example/src/main/resources/len.sh")
> pipeRdd.collect.foreach(println)
> }
> }
> {code}
> It uses a bash script to convert a string to its length.
> {code}
> #!/bin/sh
> read input
> len=${#input}
> echo $len
> {code}
> So far so good, but when I run the code, it prints incorrect output. For example:
> {code}
> 0
> 2
> 0
> 5
> 3
> 0
> 3
> 3
> {code}
> I expect to see
> {code}
> 2
> 5
> 3
> 3
> 3
> {code}
> which is correct output for the app. I think it's a bug. It's expected to see only positive integers and avoid zeros.
> Environment:
> 1. Spark version is 1.6.2
> 2. Scala version is 2.11.6
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