[
https://issues.apache.org/jira/browse/IGNITE-389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14491089#comment-14491089
]
jay vyas commented on IGNITE-389:
---------------------------------
linking to corresponding bigtop puppet recipes update which we should do .
> Integration with Spark: IgniteRDD
> ---------------------------------
>
> Key: IGNITE-389
> URL: https://issues.apache.org/jira/browse/IGNITE-389
> Project: Ignite
> Issue Type: New Feature
> Components: hadoop
> Reporter: Dmitriy Setrakyan
> Assignee: Ivan Veselovsky
> Priority: Blocker
> Fix For: sprint-4
>
>
> I think we should create an implementation of RDD for Ignite caches (either
> REPLICATED or PARTITIONED).
> Please create Spark project from GIT:
> https://github.com/apache/spark
> In core module for Scala you can find {{org.apache.spark.rdd.RDD}} class
> which is extensible. We should provide our own implementation of this class.
> This package has plenty of other examples on how to create RDD, e.g.
> HadoopRDD, JdbcRDD, etc.
> This integration should be done in ignite-spark module.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)