[jira] [Commented] (KYLIN-3462) "dfs.replication=2" and compression not work in Spark cube engine

["Shaofeng SHI (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/KYLIN-3462?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16552355#comment-16552355 ] 

Shaofeng SHI commented on KYLIN-3462:
-------------------------------------

Adding the following configurations in kylin.properties will solve it, you can use it as a temp solution:

 
{code:java}
kylin.engine.spark-conf.spark.hadoop.dfs.replication=2
kylin.engine.spark-conf.spark.hadoop.mapreduce.output.fileoutputformat.compress=true
kylin.engine.spark-conf.spark.hadoop.mapreduce.output.fileoutputformat.compress.codec=org.apache.hadoop.io.compress.DefaultCodec
{code}

> "dfs.replication=2" and compression not work in Spark cube engine
> -----------------------------------------------------------------
>
>                 Key: KYLIN-3462
>                 URL: https://issues.apache.org/jira/browse/KYLIN-3462
>             Project: Kylin
>          Issue Type: Bug
>          Components: Spark Engine
>    Affects Versions: v2.3.0, v2.3.1, v2.4.0
>            Reporter: Shaofeng SHI
>            Priority: Major
>         Attachments: cuboid_generated_by_mr.png, cuboid_generated_by_spark.png
>
>
> In a comparison between Spark and MR cubing, I noticed the cuboid files that Spark engine generated is 3x lager than MR, and took 4x larger more disk on HDFS than MR.
>  
> The reason is, the "dfs.replication=2" didn't work when Spark save to HDFS. And by default no compression for spark.
>  
> The converted HFiles are in the same size, the query results are the same. So this difference may easily be overlooked.   



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