You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@chukwa.apache.org by "Eric Yang (JIRA)" <ji...@apache.org> on 2016/05/02 02:13:12 UTC
[jira] [Commented] (CHUKWA-792) Implement Chukwa Spark HBase Load
and store function
[ https://issues.apache.org/jira/browse/CHUKWA-792?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15266015#comment-15266015 ]
Eric Yang commented on CHUKWA-792:
----------------------------------
Move this issue to future release because dependency on HBase 2.x release to support Spark and HBase integration.
> Implement Chukwa Spark HBase Load and store function
> ----------------------------------------------------
>
> Key: CHUKWA-792
> URL: https://issues.apache.org/jira/browse/CHUKWA-792
> Project: Chukwa
> Issue Type: New Feature
> Components: Data Processors
> Reporter: Eric Yang
>
> For developer to use Chukwa framework for data processing, it would be nice to have Chukwa HBase Load/Save function to enable user to work with Chukwa HBase tables in Spark.
> The proposed function have the following parameters:
> {code}
> def chukwaHBaseLoad(timeRange:Array[Long], metrics:Array[String], source:Array[String], tags:Array[String])
> def chukwaHBaseSave(metrics: (String, Double, Long, String))
> {code}
> The tuple defines:
> Metrics name: String
> Metrics value: Double
> Timestamp: Long
> Tags: String
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)