创建表分区步骤如下：
1. 创建主表
CREATE TABLE users ( uid int not null primary key, name varchar(20));
2. 创建分区表(必须继承上面的主表)
CREATE TABLE users_0 ( check (uid >= 0 and uid 100) ) INHERITS (users);
CREATE TABLE users_1 ( check (uid >= 100)) INHERITS (users);
3. 在分区表上建立索引，其实这步可以省略的哦
CREATE INDEX users_0_uidindex on users_0(uid);
CREATE INDEX users_1_uidindex on users_1(uid);
4. 创建规则RULE
CREATE RULE users_insert_0 AS
ON INSERT TO users WHERE
(uid >= 0 and uid 100)
DO INSTEAD
INSERT INTO users_0 VALUES (NEW.uid,NEW.name);
CREATE RULE users_insert_1 AS
ON INSERT TO users WHERE
(uid >= 100)
DO INSTEAD
INSERT INTO users_1 VALUES (NEW.uid,NEW.name);
下面就可以测试写入数据啦：
postgres=# INSERT INTO users VALUES (100,'smallfish');
INSERT 0 0
postgres=# INSERT INTO users VALUES (20,'aaaaa');
INSERT 0 0
postgres=# select * from users;
uid | name
-----+-----------
20 | aaaaa
100 | smallfish
(2 笔资料列)
postgres=# select * from users_0;
uid | name
-----+-------
20 | aaaaa
(1 笔资料列)
postgres=# select * from users_1;
uid | name
-----+-----------
100 | smallfish
(1 笔资料列)
到这里表分区已经可以算完了，不过还有个地方需要修改下，先看count查询把。
postgres=# EXPLAIN SELECT count(*) FROM users where uid100;
QUERY PLAN
---------------------------------------------------------------------------------------------
Aggregate (cost=62.75..62.76 rows=1 width=0)
-> Append (cost=6.52..60.55 rows=879 width=0)
-> Bitmap Heap Scan on users (cost=6.52..20.18 rows=293 width=0)
Recheck Cond: (uid 100)
-> Bitmap Index Scan on users_pkey (cost=0.00..6.45 rows=293 width=0)
Index Cond: (uid 100)
-> Bitmap Heap Scan on users_0 users (cost=6.52..20.18 rows=293 width=0)
Recheck Cond: (uid 100)
-> Bitmap Index Scan on users_0_uidindex (cost=0.00..6.45 rows=293 width=0)
Index Cond: (uid 100)
-> Bitmap Heap Scan on users_1 users (cost=6.52..20.18 rows=293 width=0)
Recheck Cond: (uid 100)
-> Bitmap Index Scan on users_1_uidindex (cost=0.00..6.45 rows=293 width=0)
Index Cond: (uid 100)
(14 笔资料列)
按照本来想法，uid小于100，理论上应该只是查询users_0表，通过EXPLAIN可以看到其他他扫描了所有分区的表。
postgres=# SET constraint_exclusion = on;
SET
postgres=# EXPLAIN SELECT count(*) FROM users where uid100;
QUERY PLAN
---------------------------------------------------------------------------------------------
Aggregate (cost=41.83..41.84 rows=1 width=0)
-> Append (cost=6.52..40.37 rows=586 width=0)
-> Bitmap Heap Scan on users (cost=6.52..20.18 rows=293 width=0)
Recheck Cond: (uid 100)
-> Bitmap Index Scan on users_pkey (cost=0.00..6.45 rows=293 width=0)
Index Cond: (uid 100)
-> Bitmap Heap Scan on users_0 users (cost=6.52..20.18 rows=293 width=0)
Recheck Cond: (uid 100)
-> Bitmap Index Scan on users_0_uidindex (cost=0.00..6.45 rows=293 width=0)
Index Cond: (uid 100)
(10 笔资料列)
到这里整个过程都OK啦！