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Posted to dev@phoenix.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2015/04/01 00:07:53 UTC
[jira] [Commented] (PHOENIX-1071) Provide integration for exposing
Phoenix tables as Spark RDDs
[ https://issues.apache.org/jira/browse/PHOENIX-1071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14389504#comment-14389504 ]
ASF GitHub Bot commented on PHOENIX-1071:
-----------------------------------------
Github user robdaemon commented on the pull request:
https://github.com/apache/phoenix/pull/59#issuecomment-88267669
So happy to see this go in. I'll push on my former colleagues at Simply Measured about the copyrights!!
> Provide integration for exposing Phoenix tables as Spark RDDs
> -------------------------------------------------------------
>
> Key: PHOENIX-1071
> URL: https://issues.apache.org/jira/browse/PHOENIX-1071
> Project: Phoenix
> Issue Type: New Feature
> Reporter: Andrew Purtell
>
> A core concept of Apache Spark is the resilient distributed dataset (RDD), a "fault-tolerant collection of elements that can be operated on in parallel". One can create a RDDs referencing a dataset in any external storage system offering a Hadoop InputFormat, like PhoenixInputFormat and PhoenixOutputFormat. There could be opportunities for additional interesting and deep integration.
> Add the ability to save RDDs back to Phoenix with a {{saveAsPhoenixTable}} action, implicitly creating necessary schema on demand.
> Add support for {{filter}} transformations that push predicates to the server.
> Add a new {{select}} transformation supporting a LINQ-like DSL, for example:
> {code}
> // Count the number of different coffee varieties offered by each
> // supplier from Guatemala
> phoenixTable("coffees")
> .select(c =>
> where(c.origin == "GT"))
> .countByKey()
> .foreach(r => println(r._1 + "=" + r._2))
> {code}
> Support conversions between Scala and Java types and Phoenix table data.
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