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https://issues.apache.org/jira/browse/SPARK-5385?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pedro Rodriguez closed SPARK-5385.
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    Resolution: Fixed

Indeed, not a bug, fixed by calling textFiles, then passing partitions.size as 
parameter to parallelize for number of slices.

> Calling textFile, parallelize, zip, then partitions causes failure on some 
> local[*]
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-5385
>                 URL: https://issues.apache.org/jira/browse/SPARK-5385
>             Project: Spark
>          Issue Type: Bug
>            Reporter: Pedro Rodriguez
>
> There is a bug in Spark core which produces the exception: "Can't zip RDDs 
> with unequal numbers of partitions"
> General Steps to reproduce:
> 1. Run sc.textFiles
> 2. Run sc.parallelize
> 3. Zip results of top two
> 4. Call partitions on result of zip
> 5. Run for local, local[2], local[3],...
> 6. My machine (macbook air) fails on local[3].
> Github repository with code example: https://github.com/EntilZha/spark-zip-bug
> Steps to run: execute "sbt run", wait for failure
> Stack trace:
> java.lang.IllegalArgumentException: Can't zip RDDs with unequal numbers of 
> partitions
>       at 
> org.apache.spark.rdd.ZippedPartitionsBaseRDD.getPartitions(ZippedPartitionsRDD.scala:57)
>       at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
>       at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
>       at scala.Option.getOrElse(Option.scala:120)
>       at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
>       at App$.main(App.scala:33)
>       at App.main(App.scala)
>       at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>       at 
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>       at 
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>       at java.lang.reflect.Method.invoke(Method.java:483)
> I am looking into the relevant classes, but insight would be appreciated. 
> This ticket may also be related to 
> https://issues.apache.org/jira/browse/SPARK-2823 and 
> https://issues.apache.org/jira/browse/SPARK-5351



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