Re: carbondata test join question

[geda]

hi,thanks

like table a has 200+filelds , this sql use id ,v_id are is positin  3,4,should i put it in the first or second 

id  or v_id cardinality id 3w~7w ,

2016-12-15 9:29 GMT+08:00 杰 [via Apache CarbonData Mailing List archive] <[hidden email]>:

hi, geda
 can u share ur create ddl?
 some suggestion: for that filter field (like id), u can try to put in left column and use dictionary_include or exclude to make it dimension. if  cardinality more than 100 thousand, u can try to make it no dictionary.
 as for ur question, if all the dimensions make no dictionary, there will be no decode part.


thanks
Jay





------------------ Original ------------------
From:  "geda";<[hidden email]>;
Date:  Wed, Dec 14, 2016 11:10 PM
To:  "dev"<[hidden email]>;

Subject:  carbondata test join  question

hello
i  want to test orc ,carbon , which is faster
test on yarn with 8 executors, each executor 4G,each 2 core
spark1.6 ,carbon2.0
sql : join  3 table
A :300W row,5GB
B:13W row,30MB
C:7W row,10MB
like this:
select b.id ,b.d_name ,a.v_no,count(*) o_count  from    a left join  b on
a.d_id=b.id left join    c on  c.v_no=a.v_no  where  date(a.create_time)>=
'2016-07-01' and  date(a.create_time)<= '2016-09-02' group by  b.id ,
b.d_name, a.v_no  having  o_count> 30 order by b.id desc
use context
cc.sql($SQL).show() : carbondata :run 5times  avg time :7.3s
hiveContext.sql($SQL).show() : ORC : run 5times  avg time:5.3s
i find from DAG ,carbon has a more job ,do carbon decode ,finish this job
cause 2-3s spend
if strip this job ,carbon and orc  use time more or less the same
i want to know how to strip  the last stage or how to tune sql like this
.Thanks
<http://apache-carbondata-mailing-list-archive.1130556.n5.nabble.com/file/n4440/jobtrace.png>
<http://apache-carbondata-mailing-list-archive.1130556.n5.nabble.com/file/n4440/laststage-carbon.png>
<http://apache-carbondata-mailing-list-archive.1130556.n5.nabble.com/file/n4440/laststage-orc.png>






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[杰]

hi, genda


 yes. suggest to move to the first or second.
the basic principle is,   should from left to right with cardinality increasing,
 at the same time, if it is a commonly used filter field, u should make it dimension and put left .


thanks
Jay




------------------ 原始邮件 ------------------
发件人: "geda";<[hidden email]>;
发送时间: 2016年12月15日(星期四) 上午10:23
收件人: "dev"<[hidden email]>;

主题: Re: carbondata test join question



hi,thanks
like table a has 200+filelds , this sql use id ,v_id are is positin
 3,4,should i put it in the first or second
id  or v_id cardinality id 3w~7w ,

2016-12-15 9:29 GMT+08:00 杰 [via Apache CarbonData Mailing List archive] <
[hidden email]>:

> hi, geda
>  can u share ur create ddl?
>  some suggestion: for that filter field (like id), u can try to put in
> left column and use dictionary_include or exclude to make it dimension. if
>  cardinality more than 100 thousand, u can try to make it no dictionary.
>  as for ur question, if all the dimensions make no dictionary, there will
> be no decode part.
>
>
> thanks
> Jay
>
>
>
>
>
> ------------------ Original ------------------
> From:  "geda";<[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=4442&i=0>>;
> Date:  Wed, Dec 14, 2016 11:10 PM
> To:  "dev"<[hidden email]
> <http:///user/SendEmail.jtp?type=node&node=4442&i=1>>;
>
> Subject:  carbondata test join  question
>
>
>
> hello
> i  want to test orc ,carbon , which is faster
> test on yarn with 8 executors, each executor 4G,each 2 core
> spark1.6 ,carbon2.0
> sql : join  3 table
> A :300W row,5GB
> B:13W row,30MB
> C:7W row,10MB
> like this:
> select b.id ,b.d_name ,a.v_no,count(*) o_count  from    a left join  b on
> a.d_id=b.id left join    c on  c.v_no=a.v_no  where
>  date(a.create_time)>=
> '2016-07-01' and  date(a.create_time)<= '2016-09-02' group by  b.id ,
> b.d_name, a.v_no  having  o_count> 30 order by b.id desc
> use context
> cc.sql($SQL).show() : carbondata :run 5times  avg time :7.3s
> hiveContext.sql($SQL).show() : ORC : run 5times  avg time:5.3s
> i find from DAG ,carbon has a more job ,do carbon decode ,finish this job
> cause 2-3s spend
> if strip this job ,carbon and orc  use time more or less the same
> i want to know how to strip  the last stage or how to tune sql like this
> .Thanks
> <http://apache-carbondata-mailing-list-archive.1130556.
> n5.nabble.com/file/n4440/jobtrace.png>
> <http://apache-carbondata-mailing-list-archive.1130556.
> n5.nabble.com/file/n4440/laststage-carbon.png>
> <http://apache-carbondata-mailing-list-archive.1130556.
> n5.nabble.com/file/n4440/laststage-orc.png>
>
>
>
>
>
>
> --
> View this message in context: http://apache-carbondata-
> mailing-list-archive.1130556.n5.nabble.com/carbondata-test-
> join-question-tp4440.html
> Sent from the Apache CarbonData Mailing List archive mailing list archive
> at Nabble.com.
>
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> If you reply to this email, your message will be added to the discussion
> below:
> http://apache-carbondata-mailing-list-archive.1130556.
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