carbondata test join question

[geda]

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

[杰]

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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[Liang Chen]

Hi geda

As we know, CarbonData's key feature is index.  
About tuning SQL, you can refer to  : https://cwiki.apache.org/confluence/display/CARBONDATA/FAQ

Regards
Liang