Re: Sql Query :: Any advice ? - Mailing list pgsql-performance

From vinny
Subject Re: Sql Query :: Any advice ?
Date
Msg-id 7cecad43ac720668a96cb2fc112cac9b@xs4all.nl
Whole thread Raw
In response to Sql Query :: Any advice ?  (Henrik Ekenberg <henrik@ekenberg.pw>)
Responses Re: Sql Query :: Any advice ?
List pgsql-performance
On 2016-11-15 14:27, Henrik Ekenberg wrote:
> Hi,
>
> I have some data to join and I want to get som advice from you.
>
> Any tips ? Any comments are apreciated
>
> //H
>
> select trade_no
> from
> forecast_trades.hist_account_balance
> left join trades using (trade_no)
> where  trade_date > current_date - 120
>    and    trade_date < current_date - 30
>    and    forex = 'f'
>    and    options = 'f'
>    group by trade_no
>    having max(account_size) > 0
> ;
>
> ( Query Plan : https://explain.depesz.com/s/4lOD )
>
> QUERY PLAN
>
>
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>  HashAggregate  (cost=34760605.76..34773866.26 rows=1060840 width=15)
> (actual time=1142816.632..1150194.076 rows=2550634 loops=1)
>    Group Key: hist_account_balance.trade_no
>    Filter: (max(hist_account_balance.account_size) > 0::numeric)
>    Rows Removed by Filter: 18240023
>    ->  Hash Join  (cost=3407585.35..34530512.29 rows=46018694
> width=15) (actual time=60321.201..1108647.151 rows=44188963 loops=1)
>          Hash Cond: (hist_account_balance.trade_no = trades.trade_no)
>          ->  Seq Scan on hist_account_balance  (cost=0.00..14986455.20
> rows=570046720 width=15) (actual time=0.016..524427.140 rows=549165594
> loops=1)
>          ->  Hash  (cost=3159184.13..3159184.13 rows=19872098
> width=12) (actual time=60307.001..60307.001 rows=20790658 loops=1)
>                Buckets: 2097152  Batches: 1  Memory Usage: 913651kB
>                ->  Index Scan using trades_trade_date_index on trades
> (cost=0.58..3159184.13 rows=19872098 width=12) (actual
> time=0.078..52213.976 rows=20790658 loops=1)
>                      Index Cond: ((trade_date >
> (('now'::cstring)::date - 120)) AND (trade_date <
> (('now'::cstring)::date - 30)))
>                      Filter: ((NOT forex) AND (NOT options))
>                      Rows Removed by Filter: 2387523
>  Planning time: 2.157 ms
>  Execution time: 1151234.290 ms
> (15 rows)


What kind of indexes have you created for those tables?


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