Postgres SQL slow query aggregation - sql

Question

I have an aggregation query which is ends up to be slow, I am looking for any improvements in "query" or "index".
I indexed all the fieldsI use, maybe i missed something, or maybe you can suggest any ways I can execute this query
query:
EXPLAIN ANALYZE
SELECT HE.fs_perm_sec_id,
HE.TICKER_EXCHANGE,
HE.proper_name,
OP.shares_outstanding,
(SELECT factset_industry_desc
FROM factset_industry_map AS fim
WHERE fim.factset_industry_code = HES.industry_code) AS industry,
// slow aggregation
(SELECT SUM(OIH.current_holdings)
FROM own_inst_holdings OIH
WHERE OIH.fs_perm_sec_id = HE.fs_perm_sec_id) AS inst_holdings
FROM own_prices OP
JOIN h_security_ticker_exchange HE ON OP.fs_perm_sec_id = HE.fs_perm_sec_id
JOIN h_entity_sector HES ON HES.factset_entity_id = HE.factset_entity_id
WHERE HE.ticker_exchange = 'BUD-NYS'
ORDER BY OP.price_date DESC LIMIT 1
Where this piece slows down the query:
(SELECT SUM(OIH.current_holdings)
FROM own_inst_holdings OIH
WHERE OIH.fs_perm_sec_id = HE.fs_perm_sec_id) AS inst_holdings
EXPLAIN ANALYZE
Limit (cost=360.41..360.41 rows=1 width=100) (actual time=920.592..920.592 rows=1 loops=1)
-> Sort (cost=360.41..360.41 rows=1 width=100) (actual time=920.592..920.592 rows=1 loops=1)
Sort Key: op.price_date
Sort Method: top-N heapsort Memory: 25kB
-> Nested Loop (cost=0.26..360.41 rows=1 width=100) (actual time=867.898..920.493 rows=35 loops=1)
-> Nested Loop (cost=0.17..6.43 rows=1 width=104) (actual time=4.882..4.940 rows=35 loops=1)
-> Index Scan using h_sec_exch_factset_entity_id_idx on h_security_ticker_exchange he (cost=0.09..4.09 rows=1 width=92) (actual time=3.611..3.612 rows=1 loops=1)
Index Cond: ((ticker_exchange)::text = 'BUD-NYS'::text)
-> Index Only Scan using own_prices_multiple_idx_1 on own_prices op (cost=0.09..2.25 rows=32 width=23) (actual time=1.258..1.301 rows=35 loops=1)
Index Cond: (fs_perm_sec_id = (he.fs_perm_sec_id)::text)
Heap Fetches: 0
-> Index Scan using h_entity_sector_multiple_idx_3 on h_entity_sector hes (cost=0.09..4.09 rows=1 width=14) (actual time=0.083..0.085 rows=1 loops=35)
Index Cond: (factset_entity_id = he.factset_entity_id)
SubPlan 1
-> Seq Scan on factset_industry_map fim (cost=0.00..2.48 rows=1 width=20) (actual time=0.014..0.031 rows=1 loops=35)
Filter: (factset_industry_code = hes.industry_code)
Rows Removed by Filter: 137
SubPlan 2
-> Aggregate (cost=347.40..347.40 rows=1 width=6) (actual time=26.035..26.035 rows=1 loops=35)
-> Bitmap Heap Scan on own_inst_holdings oih (cost=4.36..347.31 rows=177 width=6) (actual time=0.326..25.658 rows=622 loops=35)
Recheck Cond: ((fs_perm_sec_id)::text = (he.fs_perm_sec_id)::text)
Heap Blocks: exact=22750
-> Bitmap Index Scan on own_inst_holdings_fs_perm_sec_id_idx (cost=0.00..4.35 rows=177 width=0) (actual time=0.232..0.232 rows=662 loops=35)
Index Cond: ((fs_perm_sec_id)::text = (he.fs_perm_sec_id)::text)
Planning time: 5.806 ms
Execution time: 920.778 ms

Answer 1

For this query:
SELECT HE.fs_perm_sec_id, HE.TICKER_EXCHANGE, HE.proper_name, OP.shares_outstanding,
(SELECT factset_industry_desc
FROM factset_industry_map AS fim
WHERE fim.factset_industry_code = HES.industry_code
) AS industry,
(SELECT SUM(OIH.current_holdings)
FROM own_inst_holdings OIH
WHERE OIH.fs_perm_sec_id = HE.fs_perm_sec_id
) AS inst_holdings
FROM own_prices OP JOIN
h_security_ticker_exchange HE
ON OP.fs_perm_sec_id = HE.fs_perm_sec_id JOIN
h_entity_sector HES
ON HES.factset_entity_id = HE.factset_entity_id
WHERE HE.ticker_exchange = 'BUD-NYS'
ORDER BY OP.price_date DESC
LIMIT 1;
You want the following indexes:
h_security_ticker_exchange(ticker_exchange, factset_entity_id, fs_perm_sec_id)
own_prices(fs_perm_sec_id)
h_entity_sector(factset_entity_id)
factset_industry_map(factset_industry_code, factset_industry_desc)
own_inst_holdings(fs_perm_sec_id, current_holdings)