在pg里表分区是通过表继承来实现的,一般都是建立一个主表,里面是空,然后每个分区都去继承它。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RULECREATE RULE users_insert_0 ASON INSERT TO users WHERE(uid >= 0 and uid < 100)DO INSTEADINSERT INTO users_0 VALUES (NEW.uid,NEW.name);CREATE RULE users_insert_1 ASON INSERT TO users WHERE(uid >= 100)DO INSTEADINSERT 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 0postgres=# INSERT INTO users VALUES (20,'aaaaa');INSERT 0 0postgres=# select * from users;uid | name-----+-----------20 | aaaaa100 | 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 uid<100;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;SETpostgres=# EXPLAIN SELECT count(*) FROM users where uid<100;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!