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探索ClickHouse——使用MaterializedPostgreSQL同步PostgreSQL数据库

news 2025/7/10 20:17:31

安装PostgreSQL

sudo apt install postgresql

修改配置

sudo vim /etc/postgresql/14/main/postgresql.conf

解开并修改wal_level 的配置项

wal_level = logical

重启服务

/etc/init.d/postgresql restart

Restarting postgresql (via systemctl): postgresql.service==== AUTHENTICATING FOR org.freedesktop.systemd1.manage-units ===
Authentication is required to restart ‘postgresql.service’.
Multiple identities can be used for authentication:

fangliang
, (kafka)

Choose identity to authenticate as (1-2): 1
Password:
==== AUTHENTICATION COMPLETE ===
.

设置密码

切换用户

sudo su - postgres

使用下面命令进入PostgreSQL命令行交互页面

psql

输入下面命令设置密码为postgres_pwd

\password postgres

Enter new password for user “postgres”:
Enter it again:

创建数据库和表

使用下面命令创建数据库

CREATE DATABASE test_db;
\c test_db
CREATE TABLE accounts(user_id INT PRIMARY KEY, username VARCHAR(50) UNIQUE NOT NULL, password VARCHAR(50) NOT NULL, email VARCHAR(255) UNIQUE NOT NULL);

数据同步

开启一个新的窗口，使用下面指令进入交互页面

clickhouse-client

创建表

CREATE TABLE postgresql_replica(user_id UInt64, username String, password String, email String) ENGINE = MaterializedPostgreSQL('127.0.0.1:5432', 'test_db', 'accounts', 'postgres', 'postgres_pwd') PRIMARY KEY user_id;

CREATE TABLE postgresql_replica
(
user_id UInt64,
username String,
password String,
email String
)
ENGINE = MaterializedPostgreSQL(‘127.0.0.1:5432’, ‘test_db’, ‘accounts’, ‘postgres’, ‘postgres_pwd’)
PRIMARY KEY user_id
Query id: 16f796bc-e979-47b4-8f1c-33471cfd7b12
0 rows in set. Elapsed: 0.013 sec.
Received exception from server (version 23.7.5):
Code: 1001. DB::Exception: Received from localhost:9000. DB::Exception: pqxx::sql_error: ERROR: logical decoding requires wal_level >= logical
. (STD_EXCEPTION)

数据库写入数据

在psql的交互页面输入

INSERT INTO accounts(user_id, username, password, email) VALUES(0, 'fangliang', 'pwd', 'fangliang@123.com');

检查数据

select * from accounts;

user_id | username | password | email
---------±----------±---------±------------------
0 | fangliang | pwd | fangliang@123.com
(1 row)

ClickHouse同步数据

在clickhouse-client交互页面输入

select * from postgresql_replica;

SELECT *
FROM postgresql_replica
Query id: eef3fc8e-82ce-4e69-bf0b-0c2afe047daf
┌─user_id─┬─username──┬─password─┬─email─────────────┐
│ 0 │ fangliang │ pwd │ fangliang@123.com │
└─────────┴───────────┴──────────┴───────────────────┘
1 row in set. Elapsed: 0.012 sec.