Here are the indexes I have for those queries
Indexes:
hist_account_balance :: "hist_account_balance_ix1" btree (trade_no)
trades :: "trades_pkey" PRIMARY KEY, btree (trade_no)
"trades_trade_date_index" btree (trade_date)
//H
Quoting vinny <vi...@xs4all.nl>:
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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