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From "Henry Saputra (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (KYLIN-679) Adding Spark Support to Apache Kylin
Date Sun, 31 May 2015 18:04:17 GMT

    [ https://issues.apache.org/jira/browse/KYLIN-679?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14566629#comment-14566629
] 

Henry Saputra commented on KYLIN-679:
-------------------------------------

Integration should be done via abstraction to support different runtime engine, including
native one from Kylin.

Tight couple with Spark will make the project unable to leverage other runtime engines.

> Adding Spark Support to Apache Kylin
> ------------------------------------
>
>                 Key: KYLIN-679
>                 URL: https://issues.apache.org/jira/browse/KYLIN-679
>             Project: Kylin
>          Issue Type: New Feature
>          Components: General
>            Reporter: Luke Han
>             Fix For: Future
>
>
> Challenges in current architecture:
> High latency when reading data from Hive 
> --Several hours to fetch data when join big tables
> --Route to SQL-on-Hadoop turned off due to performance issue
> Time-to-Market of data latency
> --Huge IO & Network traffic with MR jobs
> Streaming
> --Streaming process and pre-calculate cubes
> Where Spark could bring benefits to Kylin:
> Integrating with Spark SQL: 
> --Option I: Read data from SparkSQL instead of Hive
> --Option II: Route unsupported queries to SparkSQL
> --Option III: Kylin to be OLAP source of SparkSQL
> Spark Cube Build Engine
> --Efficiency cube generate engine with Spark
> Spark Streaming
> --Leverage SparkStreaming for StreamingOLAP
> HBase?
> --Any idea?



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