Am 20.09.2018 um 13:11 schrieb Durgamahesh Manne:
> Query was executed at less time without distinct
>
> As well as query was taking around 7 minutes to complete execution
> with distinct
>
> select distinct sub_head."vchSubmittersCode" ,rec."vchFileName" ,
> rec."vchCusipFundIDSubFundID" , rec."vchFundUnitPrice" ,
> sub_head."vchValuationDate" ,rec."vchAdvisorLabel" from table1 rec
> join table2 sub_head on
> rec."vchSubmittersCode"=sub_head."vchSubmittersCode" where
> rec."bFetch"=false and sub_head."bFetch"=false ;
>
> I need to execute above distinct query at less time as distinct query
> was taking more time to execute even i have created indexes on
> required columns of the tables
>
> Unique (cost=5871873.64..6580630.73 rows=7400074 width=89) (actual
time=326397.551..389515.863 rows=3700000
loops=1) |
> | -> Sort (cost=5871873.64..5973124.65 rows=40500405 width=89)
(actual time=326397.550..372470.846 rows=40500000
loops=1) |
> | Sort Key: sub_head."vchSubmittersCode", rec."vchFileName",
rec."vchCusipFundIDSubFundID", rec."vchFundUnitPrice",
sub_head."vchValuationDate", rec."vchAdvisorLabel" |
> | Sort Method: external merge Disk:
3923224kB |
as you can see: there are 40.500.000 rows to sort to filter out
duplicate rows, the result contains 'only' 3.700.000 rows. But for this
step the database needs nearly 4TB on-disk. This will, of course, need
some time.
If you have enough ram you can try to set work_mem to 5 or 6 GB to
change the plan to a in-memory - sort. But keep in mind, this is
dangerous! If the machine don't have enough free ram the kernal can
decide to Out-Of-Memory - killing processes.
What kind of disks do you have? Maybe you can use a separate fast SSD as
temp_tablespaces?
Regards, Andreas
--
2ndQuadrant - The PostgreSQL Support Company.
www.2ndQuadrant.com
