【发布时间】:2014-12-11 11:54:11
【问题描述】:
您好,我在一个运行得非常快的单个表上有一个简单的查询,但我想分页我的结果,而 LIMIT 会令人难以置信地减慢选择速度。该表包含大约 8000 万行。我在 postgres 9.2 上。
没有 LIMIT 需要 330 毫秒并返回 2100 行
EXPLAIN SELECT * from interval where username='1228321f131084766f3b0c6e40bc5edc41d4677e' order by time desc
Sort (cost=156599.71..156622.43 rows=45438 width=108)"
Sort Key: "time""
-> Bitmap Heap Scan on "interval" (cost=1608.05..155896.71 rows=45438 width=108)"
Recheck Cond: ((username)::text = '1228321f131084766f3b0c6e40bc5edc41d4677e'::text)"
-> Bitmap Index Scan on interval_username (cost=0.00..1605.77 rows=45438 width=0)"
Index Cond: ((username)::text = '1228321f131084766f3b0c6e40bc5edc41d4677e'::text)
EXPLAIN ANALYZE SELECT * from interval where
username='1228321f131084766f3b0c6e40bc5edc41d4677e' order by time desc
Sort (cost=156599.71..156622.43 rows=45438 width=108) (actual time=1.734..1.887 rows=2131 loops=1)
Sort Key: id
Sort Method: quicksort Memory: 396kB
-> Bitmap Heap Scan on "interval" (cost=1608.05..155896.71 rows=45438 width=108) (actual time=0.425..0.934 rows=2131 loops=1)
Recheck Cond: ((username)::text = '1228321f131084766f3b0c6e40bc5edc41d4677e'::text)
-> Bitmap Index Scan on interval_username (cost=0.00..1605.77 rows=45438 width=0) (actual time=0.402..0.402 rows=2131 loops=1)
Index Cond: ((username)::text = '1228321f131084766f3b0c6e40bc5edc41d4677e'::text)
Total runtime: 2.065 ms
使用 LIMIT 需要几分钟(我从不等它结束)
EXPLAIN SELECT * from interval where username='1228321f131084766f3b0c6e40bc5edc41d4677e' order by time desc LIMIT 10
Limit (cost=0.00..6693.99 rows=10 width=108)
-> Index Scan Backward using interval_time on "interval" (cost=0.00..30416156.03 rows=45438 width=108)
Filter: ((username)::text = '1228321f131084766f3b0c6e40bc5edc41d4677e'::text)
表定义
-- Table: "interval"
-- DROP TABLE "interval";
CREATE TABLE "interval"
(
uuid character varying(255) NOT NULL,
deleted boolean NOT NULL,
id bigint NOT NULL,
"interval" bigint NOT NULL,
"time" timestamp without time zone,
trackerversion character varying(255),
username character varying(255),
CONSTRAINT interval_pkey PRIMARY KEY (uuid),
CONSTRAINT fk_272h71b2gfyov9fwnksyditdd FOREIGN KEY (username)
REFERENCES appuser (panelistcode) MATCH SIMPLE
ON UPDATE NO ACTION ON DELETE CASCADE,
CONSTRAINT uk_hyi5iws50qif6jwky9xcch3of UNIQUE (id)
)
WITH (
OIDS=FALSE
);
ALTER TABLE "interval"
OWNER TO postgres;
-- Index: interval_time
-- DROP INDEX interval_time;
CREATE INDEX interval_time
ON "interval"
USING btree
("time");
-- Index: interval_username
-- DROP INDEX interval_username;
CREATE INDEX interval_username
ON "interval"
USING btree
(username COLLATE pg_catalog."default");
-- Index: interval_uuid
-- DROP INDEX interval_uuid;
CREATE INDEX interval_uuid
ON "interval"
USING btree
(uuid COLLATE pg_catalog."default");
更多结果
SELECT n_distinct FROM pg_stats WHERE tablename='interval' AND attname='username';
n_distinct=1460
SELECT AVG(length) FROM (SELECT username, COUNT(*) AS length FROM interval GROUP BY username) as freq;
45786.022605591910
SELECT COUNT(*) FROM interval WHERE username='1228321f131084766f3b0c6e40bc5edc41d4677e';
2131
【问题讨论】:
-
你能给我们看看 EXPLAIN ANALYZE 的结果吗?
-
该列的
n_distinct值是多少?SELECT n_distinct FROM pg_stats WHERE tablename='interval' AND attname='username'; -
@kouber n_distinct=1460
-
@frank 我已经为没有限制的查询添加了分析,其他仍在运行
-
和它相比如何:
SELECT AVG(length) FROM (SELECT username, COUNT(*) AS length FROM interval GROUP BY username) as freq;
标签: postgresql limit