--对于分区表constraint_exclusion 这个参数需要配置为partition或on
postgres=# show constraint_exclusion ;
constraint_exclusion
----------------------
partition
--创建父子表, 用于存储分区数据
create table t(id int primary key);
create table t1(like t including all) inherits(t);
create table t2(like t including all) inherits(t);
create table t3(like t including all) inherits(t);
create table t4(like t including all) inherits(t);
--PostgreSQL的子表和子表之间的约束是没有任何关系的, 所以也可以有重叠, 即非全局约束.
alter table t1 add constraint ck_t1_1 check(id<0);
alter table t2 add constraint ck_t2_1 check(id>=0 and id<100);
alter table t3 add constraint ck_t3_1 check(id>=100 and id<200);
alter table t4 add constraint ck_t4_1 check(id>=200);
--分区字段传入常量, 执行时扫描的是父表和约束对应的子表 :
postgres=# explain select * from t where id=10;
QUERY PLAN
-----------------------------------------------------------------------------
Append (cost=0.00..8.17 rows=2 width=4)
-> Seq Scan on t (cost=0.00..0.00 rows=1 width=4)
Filter: (id = 10)
-> Index Only Scan using t2_pkey on t2 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = 10)
(5 rows)
--分区字段传入常量, 执行时扫描的是父表和约束对应的子表;
postgres=# prepare p_test as select * from t where id=$1;
PREPARE
postgres=# explain execute p_test(1);
QUERY PLAN
-----------------------------------------------------------------------------
Append (cost=0.00..8.17 rows=2 width=4)
-> Seq Scan on t (cost=0.00..0.00 rows=1 width=4)
Filter: (id = 1)
-> Index Only Scan using t2_pkey on t2 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = 1)
(5 rows)
--子句查询, 执行时扫描的是父表和所有子表, 注意这里使用的子查询是子表的查询, 理论上应该是扫描父表和该子表
postgres=# explain select * from t where id=(select id from t1 limit 1);
QUERY PLAN
-----------------------------------------------------------------------------
Append (cost=0.01..32.70 rows=5 width=4)
InitPlan 1 (returns $0)
-> Limit (cost=0.00..0.01 rows=1 width=4)
-> Seq Scan on t1 t1_1 (cost=0.00..34.00 rows=2400 width=4)
-> Seq Scan on t (cost=0.00..0.00 rows=1 width=4)
Filter: (id = $0)
-> Index Only Scan using t1_pkey on t1 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = $0)
-> Index Only Scan using t2_pkey on t2 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = $0)
-> Index Only Scan using t3_pkey on t3 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = $0)
-> Index Only Scan using t4_pkey on t4 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = $0)
(14 rows)
--综上可知在对分区表进行查询时最好使用字面常量，而不要使用子查询之类复杂的sql
--如果子表上约束删除，则pg不得不把删除约束的子表也加入到查询中(即使子表可以忽略)
alter table t4 drop constraint ck_t4_1;
postgres=# explain select * from t where id=10;
QUERY PLAN
-----------------------------------------------------------------------------
Append (cost=0.00..16.34 rows=3 width=4)
-> Seq Scan on t (cost=0.00..0.00 rows=1 width=4)
Filter: (id = 10)
-> Index Only Scan using t2_pkey on t2 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = 10)
-> Index Only Scan using t4_pkey on t4 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = 10)
(7 rows)
--如果constraint_exclusion设置为off，pg不得不进行全表扫描
postgres=# set constraint_exclusion=off;
SET
postgres=# explain select * from t where id=10;
QUERY PLAN
-----------------------------------------------------------------------------
Append (cost=0.00..32.69 rows=5 width=4)
-> Seq Scan on t (cost=0.00..0.00 rows=1 width=4)
Filter: (id = 10)
-> Index Only Scan using t1_pkey on t1 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = 10)
-> Index Only Scan using t2_pkey on t2 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = 10)
-> Index Only Scan using t3_pkey on t3 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = 10)
-> Index Only Scan using t4_pkey on t4 (cost=0.15..8.17 rows=1 width=4)
Index Cond: (id = 10)
(11 rows)
--分区表上一般针对分区建立相对应的分区索引
--建在父表的索引为全局索引，但如果你表没有数据要查询子表时，则分区表要进行全表扫描
--父表建立的全局索引
postgres=# \d+ p
Table "public.p"
Column | Type | Modifiers | Storage | Stats target | Description
-----------+--------------------------------+-----------+---------+--------------+-------------
city_id | integer | not null | plain | |
logtime | timestamp(0) without time zone | not null | plain | |
peaktemp | integer | | plain | |
unitsales | integer | | plain | |
Indexes:
"idx_city_id" btree (city_id)
"idx_p_logtime" btree (logtime)
Triggers:
delete_p_trigger BEFORE DELETE ON p FOR EACH ROW EXECUTE PROCEDURE p_delete_trigger()
insert_p_trigger BEFORE INSERT ON p FOR EACH ROW EXECUTE PROCEDURE p_insert_trigger()
Child tables: p_201201,
p_201202,
p_201203,
p_201204,
p_201205,
p_201206,
p_201207,
p_201208,
p_201209,
p_201210,
p_201211,
p_201212,
p_default
Has OIDs: no
--分区没有索引，不能使用父表索引
postgres=# explain select * from p_201202 where city_id=2 and logtime=timestamp ‘2012-02-02 12:59:59‘;
QUERY PLAN
----------------------------------------------------------------------------------------------
Seq Scan on p_201202 (cost=0.00..214.01 rows=2 width=20)
Filter: ((city_id = 2) AND (logtime = ‘2012-02-02 12:59:59‘::timestamp without time zone))
(2 rows)
--建立分区索引，可以使用分区索引
postgres=# CREATE INDEX idx_p_201202_city_id ON p_201202 (city_id);
CREATE INDEX
postgres=# explain select * from p_201202 where city_id=2 and logtime=timestamp ‘2012-02-02 12:59:59‘;
QUERY PLAN
--------------------------------------------------------------------------------------
Index Scan using idx_p_201202_city_id on p_201202 (cost=0.29..8.33 rows=2 width=20)
Index Cond: (city_id = 2)
Filter: (logtime = ‘2012-02-02 12:59:59‘::timestamp without time zone)
--也可以指定只查询父表的数据
postgres=# select * from only p;
city_id | logtime | peaktemp | unitsales
---------+---------+----------+-----------
(0 rows)
--如果一个分区表，父子表之间不再有继承关系，则查询父表时不再过滤到子表
postgres=# alter table t3 no inherit t;
ALTER TABLE
postgres=# explain select count(*) from t;
QUERY PLAN
------------------------------------------------------------------
Aggregate (cost=73.50..73.51 rows=1 width=0)
-> Append (cost=0.00..62.80 rows=4281 width=0)
-> Seq Scan on t (cost=0.00..0.00 rows=1 width=0)
-> Seq Scan on t1 (cost=0.00..31.40 rows=2140 width=0)
-> Seq Scan on t2 (cost=0.00..31.40 rows=2140 width=0)
(5 rows)
--再次添加继承，查询父表可以过滤到子表
postgres=# alter table t3 inherit t;
ALTER TABLE
postgres=# explain select count(*) from t;
QUERY PLAN
------------------------------------------------------------------
Aggregate (cost=110.25..110.26 rows=1 width=0)
-> Append (cost=0.00..94.20 rows=6421 width=0)
-> Seq Scan on t (cost=0.00..0.00 rows=1 width=0)
-> Seq Scan on t1 (cost=0.00..31.40 rows=2140 width=0)
-> Seq Scan on t2 (cost=0.00..31.40 rows=2140 width=0)
-> Seq Scan on t3 (cost=0.00..31.40 rows=2140 width=0)
(6 rows)
--以下为p表测试数据代码
CREATE TABLE p (
city_id int not null,
logtime timestamp(0) not null,
peaktemp int,
unitsales int
);
CREATE INDEX idx_p_logtime ON p (logtime);
CREATE TABLE p_201201 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201202 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201203 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201204 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201205 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201206 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201207 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201208 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201209 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201210 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201211 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_201212 (LIKE p INCLUDING all) INHERITS (p);
CREATE TABLE p_default (LIKE p INCLUDING all) INHERITS (p);
CREATE OR REPLACE FUNCTION p_insert_trigger()
RETURNS TRIGGER AS $$
BEGIN
IF ( NEW.logtime >= DATE ‘2012-01-01‘ AND NEW.logtime < DATE ‘2012-02-01‘ ) THEN
INSERT INTO p_201201 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-02-01‘ AND NEW.logtime < DATE ‘2012-03-01‘ ) THEN
INSERT INTO p_201202 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-03-01‘ AND NEW.logtime < DATE ‘2012-04-01‘ ) THEN
INSERT INTO p_201203 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-04-01‘ AND NEW.logtime < DATE ‘2012-05-01‘ ) THEN
INSERT INTO p_201204 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-05-01‘ AND NEW.logtime < DATE ‘2012-06-01‘ ) THEN
INSERT INTO p_201205 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-06-01‘ AND NEW.logtime < DATE ‘2012-07-01‘ ) THEN
INSERT INTO p_201206 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-07-01‘ AND NEW.logtime < DATE ‘2012-08-01‘ ) THEN
INSERT INTO p_201207 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-08-01‘ AND NEW.logtime < DATE ‘2012-09-01‘ ) THEN
INSERT INTO p_201208 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-09-01‘ AND NEW.logtime < DATE ‘2012-10-01‘ ) THEN
INSERT INTO p_201209 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-10-01‘ AND NEW.logtime < DATE ‘2012-11-01‘ ) THEN
INSERT INTO p_201210 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-11-01‘ AND NEW.logtime < DATE ‘2012-12-01‘ ) THEN
INSERT INTO p_201211 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2012-12-01‘ AND NEW.logtime < DATE ‘2013-01-01‘ ) THEN
INSERT INTO p_201212 VALUES (NEW.*);
ELSIF ( NEW.logtime >= DATE ‘2013-01-01‘ OR NEW.logtime < DATE ‘2012-01-01‘ ) THEN
INSERT INTO p_default VALUES (NEW.*);
ELSE
RAISE EXCEPTION ‘Date out of range. Fix the p_insert_trigger() function!‘;
END IF;
RETURN NULL;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION p_delete_trigger()
RETURNS TRIGGER AS $$
BEGIN
IF ( OLD.logtime >= DATE ‘2012-01-01‘ AND OLD.logtime < DATE ‘2012-02-01‘ ) THEN
DELETE FROM p_201201 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-02-01‘ AND OLD.logtime < DATE ‘2012-03-01‘ ) THEN
DELETE FROM p_201202 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-03-01‘ AND OLD.logtime < DATE ‘2012-04-01‘ ) THEN
DELETE FROM p_201203 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-04-01‘ AND OLD.logtime < DATE ‘2012-05-01‘ ) THEN
DELETE FROM p_201204 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-05-01‘ AND OLD.logtime < DATE ‘2012-06-01‘ ) THEN
DELETE FROM p_201205 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-06-01‘ AND OLD.logtime < DATE ‘2012-07-01‘ ) THEN
DELETE FROM p_201206 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-07-01‘ AND OLD.logtime < DATE ‘2012-08-01‘ ) THEN
DELETE FROM p_201207 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-08-01‘ AND OLD.logtime < DATE ‘2012-09-01‘ ) THEN
DELETE FROM p_201208 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-09-01‘ AND OLD.logtime < DATE ‘2012-10-01‘ ) THEN
DELETE FROM p_201209 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-10-01‘ AND OLD.logtime < DATE ‘2012-11-01‘ ) THEN
DELETE FROM p_201210 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-11-01‘ AND OLD.logtime < DATE ‘2012-12-01‘ ) THEN
DELETE FROM p_201211 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2012-12-01‘ AND OLD.logtime < DATE ‘2013-01-01‘ ) THEN
DELETE FROM p_201212 WHERE logtime=OLD.logtime;
ELSIF ( OLD.logtime >= DATE ‘2013-01-01‘ OR OLD.logtime < DATE ‘2012-01-01‘ ) THEN
DELETE FROM p_default WHERE logtime=OLD.logtime;
ELSE
RAISE EXCEPTION ‘Date out of range. Fix the p_insert_trigger() function!‘;
END IF;
RETURN NULL;
END;
$$ LANGUAGE plpgsql;
CREATE TRIGGER insert_p_trigger
BEFORE INSERT ON p
FOR EACH ROW EXECUTE PROCEDURE p_insert_trigger();
CREATE TRIGGER delete_p_trigger
BEFORE DELETE ON p
FOR EACH ROW EXECUTE PROCEDURE p_delete_trigger();
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (1, timestamp ‘2012-01-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (2, timestamp ‘2012-02-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (3, timestamp ‘2012-03-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (4, timestamp ‘2012-04-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (5, timestamp ‘2012-05-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (6, timestamp ‘2012-06-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (7, timestamp ‘2012-07-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (8, timestamp ‘2012-08-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (9, timestamp ‘2012-09-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (10, timestamp ‘2012-10-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (11, timestamp ‘2012-11-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (12, timestamp ‘2012-12-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (13, timestamp ‘2013-01-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) VALUES (14, timestamp ‘2011-12-02 12:59:59‘, 20, 10);
INSERT INTO p (city_id, logtime, peaktemp, unitsales) select m, timestamp ‘2012-02-02 12:59:59‘, 20, 10 from generate_series(1,10000) m;
explain select * from p_201202 where city_id=2 and logtime=timestamp ‘2012-02-02 12:59:59‘;
转载：https://yq.aliyun.com/articles/2637?spm=5176.100240.searchblog.12.59Jibq#
时间： 2024-10-10 13:17:02