我正在从Postgres表中汇总数据,查询大约需要2秒,我希望将其减少到不到一秒。
请在下面找到执行细节:
查询
select
a.search_keyword,
hll_cardinality( hll_union_agg(a.users) ):: int as user_count,
hll_cardinality( hll_union_agg(a.sessions) ):: int as session_count,
sum(a.total) as keyword_count
from
rollup_day a
where
a.created_date between '2018-09-01' and '2019-09-30'
and a.tenant_id = '62850a62-19ac-477d-9cd7-837f3d716885'
group by
a.search_keyword
order by
session_count desc
limit 100;
表元数据
查询计划
Custom Scan (cost=0.00..0.00 rows=0 width=0) (actual time=1722.685..1722.694 rows=100 loops=1)
Task Count: 1
Tasks Shown: All
-> Task
Node: host=localhost port=5454 dbname=postgres
-> Limit (cost=64250.24..64250.49 rows=100 width=42) (actual time=1783.087..1783.106 rows=100 loops=1)
-> Sort (cost=64250.24..64558.81 rows=123430 width=42) (actual time=1783.085..1783.093 rows=100 loops=1)
Sort Key: ((hll_cardinality(hll_union_agg(sessions)))::integer) DESC
Sort Method: top-N heapsort Memory: 33kB
-> GroupAggregate (cost=52933.89..59532.83 rows=123430 width=42) (actual time=905.502..1724.363 rows=212633 loops=1)
Group Key: search_keyword
-> Sort (cost=52933.89..53636.53 rows=281055 width=54) (actual time=905.483..1351.212 rows=280981 loops=1)
Sort Key: search_keyword
Sort Method: external merge Disk: 18496kB
-> Seq Scan on rollup_day a (cost=0.00..17890.22 rows=281055 width=54) (actual time=29.720..112.161 rows=280981 loops=1)
Filter: ((created_date >= '2018-09-01'::date) AND (created_date <= '2019-09-30'::date) AND (tenant_id = '62850a62-19ac-477d-9cd7-837f3d716885'::uuid))
Rows Removed by Filter: 225546
Planning Time: 0.129 ms
Execution Time: 1786.222 ms
Planning Time: 0.103 ms
Execution Time: 1722.718 ms
我尝试过的