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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/06/16 19:35:00 UTC
[jira] [Commented] (SPARK-8398) Consistently expose Hadoop
Configuration/JobConf parameters for Hadoop input/output formats
[ https://issues.apache.org/jira/browse/SPARK-8398?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14588424#comment-14588424 ]
Apache Spark commented on SPARK-8398:
-------------------------------------
User 'koertkuipers' has created a pull request for this issue:
https://github.com/apache/spark/pull/6848
> Consistently expose Hadoop Configuration/JobConf parameters for Hadoop input/output formats
> -------------------------------------------------------------------------------------------
>
> Key: SPARK-8398
> URL: https://issues.apache.org/jira/browse/SPARK-8398
> Project: Spark
> Issue Type: Task
> Components: Spark Core
> Affects Versions: 1.4.0
> Reporter: koert kuipers
> Priority: Trivial
>
> Currently a custom Hadoop Configuration or JobConf can be passed into quite a few functions that use Hadoop input formats to read or Hadoop output formats to write data. The goal of this JIRA is to make this consistent and expose Configuration/JobConf for all these methods, which facilitates re-use and discourages many additional parameters (that end up changing the Configuration/JobConf internally).
> See also:
> http://apache-spark-developers-list.1001551.n3.nabble.com/Fwd-hadoop-input-output-format-advanced-control-td11168.html
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