我正在运行类似的查询
select id from students where school_id='67153fb1-8f79-441d-a747-ca3778cf6d3d';
在看起来像的桌子上
Table "public.students"
Column | Type | Modifiers
-------------------+-----------------------------+------------------------------------
id | uuid | not null default gen_random_uuid()
school_id | uuid |
Indexes:
"students_pkey" PRIMARY KEY, btree (id)
"students_school_id_idx" btree (school_id)
带有 where 的 select 语句的查询计划如下所示 -
explain select id from students where school_id='67153fb1-8f79-441d-a747-ca3778cf6d3d';
QUERY PLAN
--------------------------------------------------------------------------------------------------
Bitmap Heap Scan on students (cost=581.83..83357.10 rows=24954 width=16)
Recheck Cond: (school_id = '67153fb1-8f79-441d-a747-ca3778cf6d3d'::uuid)
-> Bitmap Index Scan on students_school_id_idx (cost=0.00..575.59 rows=24954 width=0)
Index Cond: (school_id = '67153fb1-8f79-441d-a747-ca3778cf6d3d'::uuid)
这是相当快的。
现在我们将 order by 添加到带有 id 的查询中,这会降低查询的性能。(这样的查询是由 Rails 生成的,比如 student.first 有一些条件)
explain select id from students where school_id='67153fb1-8f79-441d-a747-ca3778cf6d3d' order by id asc limit 1;
QUERY PLAN
------------------------------------------------------------------------------------------------------------
Limit (cost=0.43..488.51 rows=1 width=16)
-> Index Scan using students_pkey on students (cost=0.43..12179370.22 rows=24954 width=16)
Filter: (school_id = '67153fb1-8f79-441d-a747-ca3778cf6d3d'::uuid)
如何提高返回此查询结果的速度?目前表中大约有 4990731 条记录,耗时超过 2 分钟!它在带有 db.t2.medium 实例的 RDS 上运行。
更新
运行后Analyze students;
explain select id from students where school_id='67153fb1-8f79-441d-a747-ca3778cf6d3d' order by id asc limit 1;
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------
Limit (cost=8.46..8.46 rows=1 width=16)
-> Sort (cost=8.46..8.46 rows=1 width=16)
Sort Key: id
-> Index Scan using students_school_id_idx on students (cost=0.43..8.45 rows=1 width=16)
Index Cond: (school_id = '67153fb1-8f79-441d-a747-ca3778cf6d3d'::uuid)
explain analyze select id from students where school_id='67153fb1-8f79-441d-a747-ca3778cf6d3d' order by id asc limit 1;
QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=8.46..8.46 rows=1 width=16) (actual time=1.853..1.855 rows=1 loops=1)
-> Sort (cost=8.46..8.46 rows=1 width=16) (actual time=1.851..1.852 rows=1 loops=1)
Sort Key: id
Sort Method: quicksort Memory: 25kB
-> Index Scan using students_school_id_idx on students (cost=0.43..8.45 rows=1 width=16) (actual time=1.841..1.843 rows=1 loops=1)
Index Cond: (school_id = '67153fb1-8f79-441d-a747-ca3778cf6d3d'::uuid)
Planning time: 0.145 ms
Execution time: 1.874 ms