Hi:
       Thank you for your suggestion!
I checked source code. The ‘kylin.engine.spark.rdd-partition-cut-mb’ parameter 
is only used for spark cubing job, not fact table distinct count job.
Maybe it’s worth adding this parameter to fact table distinct count job!

--
Best regards,

Xi Chen


From: Support DrakosData <supp...@drakosdata.com>
Sent: Monday, November 5, 2018 4:01 PM
To: dev@kylin.apache.org; 陈熹(chenxi07)-技术产品中心 <chenx...@qiyi.com>
Subject: Re: How to increase split number for Fact distinct columns when using 
spark engine?(picture added)


Hi Xi Chen



I think your refer to 'kylin.engine.spark.rdd-partition-cut-mb' parameter

(howto_optimize_build.html was written for 2.1-2.2 version I don't remember, 
but these concepts are very important yet, I recommended read it)


On 5/11/18 8:52, 陈熹(chenxi07)-技术产品中心 wrote:

Hi, shaofeng:

  Thank you for your reply.

  I've checked the doc, it does not contain tuning for spark engine.



--

Best regards,



Xi Chen



-----Original Message-----

From: ShaoFeng Shi <shaofeng...@apache.org><mailto:shaofeng...@apache.org>

Sent: Monday, November 5, 2018 3:30 PM

To: dev <dev@kylin.apache.org><mailto:dev@kylin.apache.org>

Subject: Re: How to increase split number for Fact distinct columns when using 
spark engine?(picture added)



Please check this doc:

https://kylin.apache.org/docs/howto/howto_optimize_build.html



陈熹(chenxi07)-技术产品中心 <chenx...@qiyi.com><mailto:chenx...@qiyi.com> 于2018年11月5日周一 
下午3:25写道:



Hi:



       I’m sorry the picture is dead again.



       I upload it as attachment this time







--



Best regards,







Xi Chen











*From:* 陈熹(chenxi07)-技术产品中心 <chenx...@qiyi.com><mailto:chenx...@qiyi.com>

*Sent:* Monday, November 5, 2018 3:04 PM

*To:* dev@kylin.apache.org<mailto:dev@kylin.apache.org>

*Subject:* How to increase split number for Fact distinct columns when

using spark engine?(picture added)







Hi, ALL:



       I’m using spark engine to build cube.



Now I found the bottleneck of build time lies in the #3 Step Name:

Extract Fact Table Distinct Columns.



When I look into the spark application, I found there is only two

splits regardless of how large the input sequence file is.



I wonder how to increase the number of split for this step?



I’m new to spark and any help will be great thanks!







P.S. Spark job of #3 Step Name: Extract Fact Table Distinct Columns.



--



Best regards,







Xi Chen















--

Best regards,



Shaofeng Shi 史少锋

--



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