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Postgresql分布式插件plproxy的使用详解

Simple remote function call

节点61/62(datanode)

CREATE TABLE users (username text, email text);
insert into users values ('user0', 'user0@gmail.com');
insert into users values ('user1', 'user1@gmail.com');
insert into users values ('user2', 'user2@gmail.com');

节点60(proxy)

create or replace extension plproxy;
CREATE FUNCTION get_user_email(i_username text)
RETURNS SETOF text AS $$
 CONNECT 'host=localhost port=9461 dbname=postgres connect_timeout=10';
 SELECT email FROM users WHERE username = $1;
$$ LANGUAGE plproxy;
SELECT * from get_user_email('user0');

Configuring Pl/Proxy clusters with SQL/MED

节点60(proxy)

CREATE FOREIGN DATA WRAPPER plproxy;
CREATE SERVER usercluster FOREIGN DATA WRAPPER plproxy
OPTIONS (connection_lifetime '1800',
   p0 'host=localhost port=9461 dbname=postgres connect_timeout=10',
   p1 'host=localhost port=9462 dbname=postgres connect_timeout=10' );
CREATE USER MAPPING FOR PUBLIC SERVER usercluster;

Partitioned remote call

节点60(proxy)

CREATE OR REPLACE FUNCTION insert_user(i_username text, i_emailaddress text)
RETURNS integer AS $$
 CLUSTER 'usercluster';
 RUN ON hashtext(i_username);
$$ LANGUAGE plproxy;

节点61/62(datanode)

CREATE OR REPLACE FUNCTION insert_user(i_username text, i_emailaddress text)
RETURNS integer AS $$
  INSERT INTO users (username, email) VALUES ($1,$2);
  SELECT 1;
$$ LANGUAGE SQL;

Putting it all together

节点60(proxy)

SELECT insert_user('Sven','sven@somewhere.com');
SELECT insert_user('Marko', 'marko@somewhere.com');
SELECT insert_user('Steve','steve@somewhere.cm');

plproxy–2.7.0.sql

-- handler function
CREATE FUNCTION plproxy_call_handler ()
RETURNS language_handler AS 'plproxy' LANGUAGE C;
-- validator function
CREATE FUNCTION plproxy_validator (oid)
RETURNS void AS 'plproxy' LANGUAGE C;
-- language
CREATE LANGUAGE plproxy HANDLER plproxy_call_handler VALIDATOR plproxy_validator;
-- validator function
CREATE FUNCTION plproxy_fdw_validator (text[], oid)
RETURNS boolean AS 'plproxy' LANGUAGE C;
-- foreign data wrapper
CREATE FOREIGN DATA WRAPPER plproxy VALIDATOR plproxy_fdw_validator;

补充：PostgreSQL 水平分库——plproxy

1、PL/Proxy安装

1、1 编译安装

tar -zxvf plproxy-2.7.tar.gz
cd plproxy-2.7
source /home/postgres/.bashrc
make
make install

1、2 创建pl/proxy扩展

itm_pg@pgs-> psql
psql (10.3)
Type "help" for help.
postgres=# create database proxy;
CREATE DATABASE
postgres=# \c proxy 
You are now connected to database "proxy" as user "postgres".
proxy=# create extension plproxy;
CREATE EXTENSION
proxy=# \dx
                List of installed extensions
 Name  | Version |  Schema  |            Description       
      
---------+---------+------------+-----------------------------------------------
-----------
 plpgsql | 1.0   | pg_catalog | PL/pgSQL procedural language
 plproxy | 2.8.0  | public   | Database partitioning implemented as procedura
l language
(2 rows)

2、pl/proxy配置

修改数据库节点pg_hba.conf:

修改两个数据节点的pg_hba.conf，保证代理节点可以访问。

# TYPE DATABASE    USER      ADDRESS         METHOD
 host all       all       192.168.7.177/32     trust

在SQL/MED方法在pl/proxy节点进行集群配置：

proxy=# create schema plproxy; --下面的函数都是创建在plproxy这个schema下面
CREATE SCHEMA
proxy=# create user bill superuser;
CREATE ROLE
--创建一个使用plproxy FDW的服务器
proxy=# CREATE SERVER cluster_srv1 FOREIGN DATA WRAPPER plproxy
proxy-#     OPTIONS (
proxy(#         connection_lifetime '1800',
proxy(#         disable_binary '1',
proxy(#         p0 'dbname=pl_db0 host=192.168.7.166',
proxy(#         p1 'dbname=pl_db1 host=192.168.17.190'
proxy(#         );
CREATE SERVER  
proxy=# \des
      List of foreign servers
   Name   | Owner | Foreign-data wrapper 
--------------+-------+----------------------
 cluster_srv1 | bill | plproxy
(1 row)
proxy=# grant usage on FOREIGN server cluster_srv1 to bill; 
GRANT
--创建用户映射
proxy=# create user mapping for bill server cluster_srv1 options (user 'bill');
CREATE USER MAPPING
proxy=# \deu
 List of user mappings
  Server  | User name 
--------------+-----------
 cluster_srv1 | bill
(1 row)

配置完成！在"CLUSTER"模式中；才需要上述配置；在"CONNECT"模式中是不需要的。

3、pl/proxy测试

在两个数据节点创建测试表：

postgres=# create database pl_db1;
CREATE DATABASE
postgres=# create user bill superuser;
CREATE ROLE
postgres=# \c pl_db1 bill 
You are now connected to database "pl_db1" as user "bill".
pl_db1=# create table users(userid int, name text);
CREATE TABLE

3、1数据水平拆分测试

在每个数据节点创建insert函数接口

pl_db1=# CREATE OR REPLACE FUNCTION insert_user(i_id int, i_name text)
pl_db1-# RETURNS integer AS $$
pl_db1$#    INSERT INTO users (userid, name) VALUES ($1,$2);
pl_db1$#    SELECT 1;
pl_db1$# $$ LANGUAGE SQL;
CREATE FUNCTION

–pl_db0节点一样

2、在PL/Proxy数据库创建同名的insert函数接口

proxy=# CREATE OR REPLACE FUNCTION insert_user(i_id int, i_name text)
proxy-# RETURNS integer AS $$
proxy$#   CLUSTER 'cluster_srv1';
proxy$#   RUN ON ANY;
proxy$# $$ LANGUAGE plproxy;
CREATE FUNCTION

3、在PL/Proxy数据库创建读的函数get_user_name()

proxy=# CREATE OR REPLACE FUNCTION get_user_name()
proxy-# RETURNS TABLE(userid int, name text) AS $$
proxy$#   CLUSTER 'cluster_srv1';
proxy$#   RUN ON ALL ;
proxy$# SELECT userid,name FROM users;
proxy$# $$ LANGUAGE plproxy;
CREATE FUNCTION

4、在pl/proxy节点插入数据进行测试

SELECT insert_user(1001, 'Sven');
SELECT insert_user(1002, 'Marko');
SELECT insert_user(1003, 'Steve');
SELECT insert_user(1004, 'bill');
SELECT insert_user(1005, 'rax');
SELECT insert_user(1006, 'ak');
SELECT insert_user(1007, 'jack');
SELECT insert_user(1008, 'molica');
SELECT insert_user(1009, 'pg');
SELECT insert_user(1010, 'oracle');

5、在节点数据库查看数据分布情况

pl_db1=# select * from users;
 userid | name 
--------+-------
  1001 | Sven
  1003 | Steve
  1004 | bill
(3 rows)

我们在proxy节点查询下：

proxy=# SELECT USERID,NAME FROM GET_USER_NAME();
 userid | name 
--------+--------
  1005 | rax
  1006 | ak
  1008 | molica
  1009 | pg
  1002 | Marko
  1004 | bill
  1007 | jack
  1010 | oracle
  1001 | Sven
  1003 | Steve
(10 rows)

因为创建insert_user函数时使用的是ROW ON ANY，表示随机再一台机器上进行执行，因此实现了数据在不同节点的随机分布，接下来改成ROW ON ALL，实验在不同节点进行数据的复制。

run on , 是数字常量, 范围是0 到 nodes-1; 例如有4个节点 run on 0; (run on 4则报错).

run on ANY,

run on function(…), 这里用到的函数返回结果必须是int2, int4 或 int8.

run on ALL, 这种的plproxy函数必须是returns setof…, 实体函数没有setof的要求.

3、2数据复制测试

选择users表作为实验对象；我们先清理表users数据;在数据节点创建truncatet函数接口

pl_db1=# CREATE OR REPLACE FUNCTION trunc_user()
pl_db1-# RETURNS integer AS $$
pl_db1$#    truncate table users;
pl_db1$#    SELECT 1;
pl_db1$# $$ LANGUAGE SQL;
CREATE FUNCTION

2、在PL/Proxy数据库创建同名的truncate函数接口

proxy=# CREATE OR REPLACE FUNCTION trunc_user()
proxy-# RETURNS SETOF integer AS $$
proxy$#    CLUSTER 'cluster_srv1';
proxy$#    RUN ON ALL;
proxy$#  $$ LANGUAGE plproxy;
CREATE FUNCTION

–检查发现数据已经清理掉了

proxy=# SELECT TRUNC_USER();
 trunc_user 
------------
     1
     1
(2 rows)

3、在PL/Proxy数据库创建函数接口 insert_user_2

proxy=# CREATE OR REPLACE FUNCTION insert_user_2(i_id int, i_name text)
proxy-#  RETURNS SETOF integer AS $$
proxy$#    CLUSTER 'cluster_srv1';
proxy$#    RUN ON ALL;
proxy$#  TARGET insert_user;
proxy$#  $$ LANGUAGE plproxy;
CREATE FUNCTION

4、插入几条数据

proxy=# SELECT insert_user_2(1004, 'bill');
 insert_user_2 
---------------
       1
       1
(2 rows)
proxy=# SELECT insert_user_2(1005, 'rax');
 insert_user_2 
---------------
       1
       1
(2 rows)
proxy=# SELECT insert_user_2(1006, 'ak');
 insert_user_2 
---------------
       1
       1
(2 rows)
proxy=# SELECT insert_user_2(1007, 'jack');
 insert_user_2 
---------------
       1
       1
(2 rows)

5、查看每个节点数据情况

pl_db1=# select * from users;
 userid | name 
--------+-------
  1004 | bill
  1005 | rax
  1006 | ak
  1007 | jack
(4 rows)
pl_db0=# select * from users;
 userid | name 
--------+-------
  1004 | bill
  1005 | rax
  1006 | ak
  1007 | jack
(4 rows)

两个数据节点的数据一样，实现了数据的复制。

以上为个人经验，希望能给大家一个参考，也希望大家多多支持脚本之家。如有错误或未考虑完全的地方，望不吝赐教。

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