Reputation: 525
Recently we changed the format of one of our tables from using a single entry in a column to having a JSONB column in the format of ["key1","key2","key3"] etc. Although we built a GIN index on the JSONB field the queries that we use on it are EXTREMELY slow (in the range of 50 minutes in explain plan). I am trying to find out a way to optimize the query and to correctly utilize the index. I pasted the query below as well as the explain plan for it. The indexed fields are visit.visitor, launch.campaign_key, launch.launch_key, visit.store_key and visits.stop JSONB field as GIN index. We are using PostgresQL 9.4
explain (analyze on) select count(subselect.visitors) as visitors,
subselect.campaign as campaign
from (
select distinct visit.visitor as visitors,
launch.campaign_key as campaign
from visit
join launch on (jsonb_exists(visit.stops, launch.launch_key)) where
visit.store_key = 'ahBzfmdlYXJsYXVuY2gtaHVi'
and launch.state = 'PRODUCTION') as subselect group by subselect.campaign
Explain results:
HashAggregate (cost=63873548.47..63873550.47 rows=200 width=88) (actual time=248617.348..248617.365 rows=58 loops=1)
Group Key: launch.campaign_key
-> HashAggregate (cost=63519670.22..63661221.52 rows=14155130 width=88) (actual time=248587.320..248616.558 rows=1938 loops=1)
Group Key: visit.visitor, launch.campaign_key
-> HashAggregate (cost=63307343.27..63448894.57 rows=14155130 width=88) (actual time=248553.278..248584.868 rows=1938 loops=1)
Group Key: visit.visitor, launch.campaign_key
-> Nested Loop (cost=4903.09..56997885.96 rows=1261891461 width=88) (actual time=180648.410..248550.249 rows=2085 loops=1)
Join Filter: jsonb_exists(visit.stops, (launch.launch_key)::text)
Rows Removed by Join Filter: 624114512
-> Bitmap Heap Scan on launch (cost=3213.19..126084.38 rows=169389 width=123) (actual time=32.082..317.561 rows=166121 loops=1)
Recheck Cond: ((state)::text = 'PRODUCTION'::text)
Heap Blocks: exact=56635
-> Bitmap Index Scan on launch_state_idx (cost=0.00..3170.85 rows=169389 width=0) (actual time=21.172..21.172 rows=166121 loops=1)
Index Cond: ((state)::text = 'PRODUCTION'::text)
-> Materialize (cost=1689.89..86736.04 rows=22349 width=117) (actual time=0.000..0.487 rows=3757 loops=166121)
-> Bitmap Heap Scan on visit (cost=1689.89..86624.29 rows=22349 width=117) (actual time=1.324..14.381 rows=3757 loops=1)
Recheck Cond: ((store_key)::text = 'ahBzfmdlYXJsYXVuY2gtaHVicg8LEgVTdG9yZRinzbKcDQw'::text)
Heap Blocks: exact=3672
-> Bitmap Index Scan on visit_store_key_idx (cost=0.00..1684.31 rows=22349 width=0) (actual time=0.780..0.780 rows=3757 loops=1)
Index Cond: ((store_key)::text = 'ahBzfmdlYXJsYXVuY2gtaHVicg8LEgVTdG9yZRinzbKcDQw'::text)
Planning time: 0.232 ms
Execution time: 248708.088 ms
I should mention the index on stops is built CREATE INDEX ON visit USING GIN (stops)
I'm wondering if switching to building it to CREATE INDEX ON visit USING GIN (stops->’value')
Will resolve the issue?
Upvotes: 0
Views: 284
Reputation: 121604
The wrapper function jsonb_exists()
prevents the use of the gin index on visits.stops
. Instead of
from visit
join launch on (jsonb_exists(visit.stops, launch.launch_key))
try
from visit
join launch on visit.stops ? launch.launch_key::text
Upvotes: 1