PostgreSQL 創(chuàng)建表分區(qū)
更新時(shí)間:2009年09月06日 01:22:24 作者:
在pg里表分區(qū)是通過(guò)表繼承來(lái)實(shí)現(xiàn)的,一般都是建立一個(gè)主表,里面是空,然后每個(gè)分區(qū)都去繼承它。
創(chuàng)建表分區(qū)步驟如下:
1. 創(chuàng)建主表
CREATE TABLE users ( uid int not null primary key, name varchar(20));
2. 創(chuàng)建分區(qū)表(必須繼承上面的主表)
CREATE TABLE users_0 ( check (uid >= 0 and uid< 100) ) INHERITS (users);
CREATE TABLE users_1 ( check (uid >= 100)) INHERITS (users);
3. 在分區(qū)表上建立索引,其實(shí)這步可以省略的哦
CREATE INDEX users_0_uidindex on users_0(uid);
CREATE INDEX users_1_uidindex on users_1(uid);
4. 創(chuàng)建規(guī)則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);
下面就可以測(cè)試寫入數(shù)據(jù)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 筆資料列)
postgres=# select * from users_0;
uid | name
-----+-------
20 | aaaaa
(1 筆資料列)
postgres=# select * from users_1;
uid | name
-----+-----------
100 | smallfish
(1 筆資料列)
到這里表分區(qū)已經(jīng)可以算完了,不過(guò)還有個(gè)地方需要修改下,先看count查詢把。
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 筆資料列)
按照本來(lái)想法,uid小于100,理論上應(yīng)該只是查詢users_0表,通過(guò)EXPLAIN可以看到其他他掃描了所有分區(qū)的表。
postgres=# SET constraint_exclusion = on;
SET
postgres=# 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 筆資料列)
到這里整個(gè)過(guò)程都OK啦!
1. 創(chuàng)建主表
CREATE TABLE users ( uid int not null primary key, name varchar(20));
2. 創(chuàng)建分區(qū)表(必須繼承上面的主表)
CREATE TABLE users_0 ( check (uid >= 0 and uid< 100) ) INHERITS (users);
CREATE TABLE users_1 ( check (uid >= 100)) INHERITS (users);
3. 在分區(qū)表上建立索引,其實(shí)這步可以省略的哦
CREATE INDEX users_0_uidindex on users_0(uid);
CREATE INDEX users_1_uidindex on users_1(uid);
4. 創(chuàng)建規(guī)則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);
下面就可以測(cè)試寫入數(shù)據(jù)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 筆資料列)
postgres=# select * from users_0;
uid | name
-----+-------
20 | aaaaa
(1 筆資料列)
postgres=# select * from users_1;
uid | name
-----+-----------
100 | smallfish
(1 筆資料列)
到這里表分區(qū)已經(jīng)可以算完了,不過(guò)還有個(gè)地方需要修改下,先看count查詢把。
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 筆資料列)
按照本來(lái)想法,uid小于100,理論上應(yīng)該只是查詢users_0表,通過(guò)EXPLAIN可以看到其他他掃描了所有分區(qū)的表。
postgres=# SET constraint_exclusion = on;
SET
postgres=# 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 筆資料列)
到這里整個(gè)過(guò)程都OK啦!
相關(guān)文章
postgresql 循環(huán)函數(shù)的簡(jiǎn)單實(shí)現(xiàn)操作
這篇文章主要介紹了postgresql 循環(huán)函數(shù)的簡(jiǎn)單實(shí)現(xiàn)操作,具有很好的參考價(jià)值,希望對(duì)大家有所幫助。一起跟隨小編過(guò)來(lái)看看吧2021-01-01
關(guān)于PostgreSQL突然無(wú)法啟動(dòng)的排查過(guò)程及解決方法
SQL數(shù)據(jù)庫(kù)服務(wù)器無(wú)法啟動(dòng)的原因可能有多種,這篇文章主要介紹了關(guān)于PostgreSQL突然無(wú)法啟動(dòng)的排查過(guò)程及解決方法,文中通過(guò)代碼介紹的非常詳細(xì),需要的朋友可以參考下2025-07-07
關(guān)于PostgreSQL截取某個(gè)字段中的部分內(nèi)容進(jìn)行排序的問(wèn)題
這篇文章主要介紹了PostgreSQL截取某個(gè)字段中的部分內(nèi)容進(jìn)行排序,本文通過(guò)實(shí)例代碼給大家介紹的非常詳細(xì),對(duì)大家的學(xué)習(xí)或工作具有一定的參考借鑒價(jià)值,需要的朋友可以參考下2023-06-06
PostgreSQL中關(guān)閉死鎖進(jìn)程的方法
這篇文章主要介紹了PostgreSQL中關(guān)閉死鎖進(jìn)程的方法,本文給出兩種解決這問(wèn)題的方法,需要的朋友可以參考下2015-02-02
PostgreSQL運(yùn)維案例之遞歸查詢死循環(huán)解決方案
PostgreSQL提供的遞歸語(yǔ)法是很棒的,例如可用來(lái)解決樹(shù)形查詢的問(wèn)題,解決Oracle用戶connect by的語(yǔ)法兼容性,下面這篇文章主要給大家介紹了關(guān)于PostgreSQL運(yùn)維案例之遞歸查詢死循環(huán)解決方案的相關(guān)資料,需要的朋友可以參考下2024-02-02
postgres 使用存儲(chǔ)過(guò)程批量插入數(shù)據(jù)的操作
這篇文章主要介紹了postgres 使用存儲(chǔ)過(guò)程批量插入數(shù)據(jù)的操作,具有很好的參考價(jià)值,希望對(duì)大家有所幫助。一起跟隨小編過(guò)來(lái)看看吧2021-02-02
psql 執(zhí)行文件 permission denied的解決
這篇文章主要介紹了psql 執(zhí)行文件 permission denied的解決,具有很好的參考價(jià)值,希望對(duì)大家有所幫助。一起跟隨小編過(guò)來(lái)看看吧2021-01-01
PostgreSQL創(chuàng)建觸發(fā)器的實(shí)現(xiàn)示例
PostgreSQL的觸發(fā)器Trigger是一類特殊的數(shù)據(jù)庫(kù)對(duì)象,本文主要介紹了PostgreSQL創(chuàng)建觸發(fā)器的實(shí)現(xiàn)示例,文中通過(guò)示例代碼介紹的非常詳細(xì),對(duì)大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價(jià)值,需要的朋友們下面隨著小編來(lái)一起學(xué)習(xí)學(xué)習(xí)吧2025-06-06

