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https://issues.apache.org/jira/browse/KYLIN-745?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14519401#comment-14519401
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Seshu Adunuthula edited comment on KYLIN-745 at 4/29/15 2:19 PM:
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By extending the Read Module to read from Oracle, would it automatically 
execute in parallel to transfer large amounts of data? Also what about the 
metadata, Do you have to create the Fact/Dimension table schema in Hive 
MetaStore for Kylin to understand the Source Star Schema


was (Author: seshuad):
By extending the Read Module to read from Oracle, would it be automatically 
execute in parallel? Also what about the metadata, Do you have to create the 
Fact/Dimension table schema in Hive MetaStore for Kylin to understand the 
Source Star Schema

> Generic Data Reader
> -------------------
>
>                 Key: KYLIN-745
>                 URL: https://issues.apache.org/jira/browse/KYLIN-745
>             Project: Kylin
>          Issue Type: New Feature
>          Components: Job Engine, Spark Engine
>            Reporter: Luke Han
>            Assignee: ZhouQianhao
>
> When data be stored on existing DW like Oracle, it's not be able to read 
> directly through Kylin to build cube. 
> There are many requirements coming from different teams like Candor about 
> this.
> There are two options:
> #1, copy your data to Hive and then build cube through Kylin. There are some 
> cases are running this model to bring data into Hive from DW and leveraging 
> Kylin very well. 
> #2, rewrite  data read module to pull data from Oracle directly. Actually, 
> the first step of cube build is generate Hive Query to read data and generate 
> one temp table in Hive, so it should be not too complicated to do this (but 
> it depends network and others, otherwise, #1 will be more efficient one). 
> Then process cube build as normal. Using generical reader to read data from 
> any SQL rdbms through JDBC or other protocol will be perfect solution since 
> cube could be built without ETL process
> Scope:
> Only ready data directly from existing RDBMs and store jointed result in Hive 
> (temp table) for further processing, no any other transfomation. 
> By design, Kylin is OLAP system not ETL one.



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