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Posted to dev@kylin.apache.org by wangfeng <wa...@gmail.com> on 2016/07/15 08:29:11 UTC
Can kylin build cube based on spark instead of hadoop ?
Hello, when I am used kylin1.5.0 to build the cube, I see than MR Jobs took a
lot of time, as I think the result of MapReduce Job in hadoop are saved in
HDFS, thus Job should read and write HDFS with increasing frequency. However
, Spark save the result in internal memory which could save time.
I want to konw whether I can use Spark to replace Hadoop when I use kylin?
If it is possible to do than Please tell me how to do this, Thanks....
--
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Re: Can kylin build cube based on spark instead of hadoop ?
Posted by Luke Han <lu...@gmail.com>.
Actually we have done a Spark Cubing POC in last year.
The performance is not showing so good yet with same algorithm, especially
when you have huge datasets.
Do not expect Spark cubing will fast than MR cubing so far, but I think we
should look into Spark2.0 which maybe bring some benefits for it.
Thanks.
Luke
Best Regards!
---------------------
Luke Han
On Fri, Jul 15, 2016 at 4:29 PM, wangfeng <wa...@gmail.com>
wrote:
> Hello, when I am used kylin1.5.0 to build the cube, I see than MR Jobs
> took a
> lot of time, as I think the result of MapReduce Job in hadoop are saved
> in
> HDFS, thus Job should read and write HDFS with increasing frequency.
> However
> , Spark save the result in internal memory which could save time.
> I want to konw whether I can use Spark to replace Hadoop when I use kylin?
> If it is possible to do than Please tell me how to do this, Thanks....
>
> --
> View this message in context:
> http://apache-kylin.74782.x6.nabble.com/Can-kylin-build-cube-based-on-spark-instead-of-hadoop-tp5330.html
> Sent from the Apache Kylin mailing list archive at Nabble.com.
>