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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-19646) binaryRecords replicates records in scala API
Date Fri, 17 Feb 2017 08:36:41 GMT

     [ https://issues.apache.org/jira/browse/SPARK-19646?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-19646.
-------------------------------
    Resolution: Not A Problem

I have a good guess that this is not a bug, and it's because you're reusing the objects you
get from the API, and not cloning them. The objects are reused by the InputFormat, so you
have to.

> binaryRecords replicates records in scala API
> ---------------------------------------------
>
>                 Key: SPARK-19646
>                 URL: https://issues.apache.org/jira/browse/SPARK-19646
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.0.0, 2.1.0
>            Reporter: BahaaEddin AlAila
>            Priority: Minor
>
> The scala sc.binaryRecords replicates one record for the entire set.
> for example, I am trying to load the cifar binary data where in a big binary file, each
3073 represents a 32x32x3 bytes image with 1 byte for the label label. The file resides on
my local filesystem.
> .take(5) returns 5 records all the same, .collect() returns 10,000 records all the same.
> What is puzzling is that the pyspark one works perfectly even though underneath it is
calling the scala implementation.
> I have tested this on 2.1.0 and 2.0.0



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