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Posted to issues@spark.apache.org by "Josh Rosen (JIRA)" <ji...@apache.org> on 2014/10/28 04:31:34 UTC

[jira] [Updated] (SPARK-4107) Incorrect handling of Channel.read()'s return value may lead to data truncation

     [ https://issues.apache.org/jira/browse/SPARK-4107?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Rosen updated SPARK-4107:
------------------------------
    Priority: Blocker  (was: Major)

> Incorrect handling of Channel.read()'s return value may lead to data truncation
> -------------------------------------------------------------------------------
>
>                 Key: SPARK-4107
>                 URL: https://issues.apache.org/jira/browse/SPARK-4107
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.1.0, 1.1.1, 1.2.0
>            Reporter: Josh Rosen
>            Assignee: Josh Rosen
>            Priority: Blocker
>
> When using {{Channel.read()}}, we need to properly handle the return value and account for the case where we've read fewer bytes than expected.  There are a few places where we don't do this properly, which may lead to incorrect data truncation in rare circumstances.  I've opened a PR to fix this.



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