主要实现思路
- 1、在clickhouse中创建MySQL引擎表。
- 2、根据MySQL引擎表的信息创建目标表。
- 3、实现canal实时增量同步MySQL数据到clickhouse。
MySQL 的准备
修改配置文件开启 Binlog
[root@hadoop100 module]$ sudo vim /etc/my.cnf
server-id=1
log-bin=mysql-bin
binlog_format=row
binlog-do-db=test
- 注意：binlog-do-db 根据自己的情况进行修改，指定具体要同步的数据库，如果不配置则表示所有数据库均开启 Binlog。
MySQL中需要同步的库表
MySQL [testck]> show databases;
+--------------------+
| Database |
+--------------------+
| information_schema |
| innodb |
| mysql |
| performance_schema |
| sys |
| testck |
| tmp |
+--------------------+
11 rows in set (0.00 sec)
MySQL [testck]> use testck;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed
MySQL [testck]> show tables;
+------------------+
| Tables_in_testck |
+------------------+
| t_organization |
| t_user |
+------------------+
2 rows in set (0.00 sec)
MySQL [testck]>
clickhouse 的准备
- canal实时同步MySQL的数据需要在clickhouse中提前建好库表
在clickhouse建MySQL引擎的库
- 把MySQL某个库中的所有表结构信息映射到clickhouse中，这样在clickhouse中就可以远程操作MySQL。
cnnxpredn02 :) CREATE DATABASE t_tmp ENGINE = MySQL('ip:3306', 'testck', 'user', 'pass');
CREATE DATABASE t_tmp
ENGINE = MySQL('ip:3306', 'testck', 'user', 'pass')
Query id: 9f6d7179-3c97-47c2-93ea-abc0c6ca873b
Ok.
0 rows in set. Elapsed: 0.013 sec.
cnnxpredn02 :) show databases;
SHOW DATABASES
Query id: 5b5baaf5-86f5-46c1-ac34-2618c34462f1
┌─name────┐
│ default │
│ system │
│ t_tmp │
└─────────┘
3 rows in set. Elapsed: 0.009 sec.
cnnxpredn02 :)
创建clickhouse中的库
cnnxpredn02 :) create database testck;
CREATE DATABASE testck
Query id: 397261c0-a8f0-48c6-b4f6-71d121b975b8
Ok.
0 rows in set. Elapsed: 0.004 sec.
cnnxvopredn02 :) show databases;
SHOW DATABASES
Query id: f467f4bb-99fa-4322-a3c1-e33be74b6e81
┌─name────┐
│ default │
│ system │
│ t_tmp │
│ testck │
└─────────┘
4 rows in set. Elapsed: 0.002 sec.
cnnxvpredn02 :)
根据创建的MySQL引擎表创建clickhouse目标表结构
cnnxvpredn02 :) create table testck.t_organization as t_tmp.t_organization;
:-] create table testck.t_user as t_tmp.t_user;
CREATE TABLE testck.t_organization AS t_tmp.t_organization
Query id: f942cf5d-701f-4dbd-9ffd-de2206eec851
Ok.
0 rows in set. Elapsed: 0.006 sec.
CREATE TABLE testck.t_user AS t_tmp.t_user
Query id: ef7dddd7-64b2-4dbc-88be-a105b49aff57
Ok.
0 rows in set. Elapsed: 0.004 sec.
cnnxvopredn02 :)
Canal 的下载和安
下载并解压 Jar 包
mkdir /opt/module/canal
tar -zxvf canal.deployer-1.1.2.tar.gz -C /opt/module/canal
修改 canal.properties 的配置
#################################################
######### common argument #############
#################################################
# tcp bind ip
canal.ip =
# register ip to zookeeper
canal.register.ip =
canal.port = 11111
canal.metrics.pull.port = 11112
# canal instance user/passwd
# canal.user = canal
# canal.passwd = E3619321C1A937C46A0D8BD1DAC39F93B27D4458
# canal admin config
#canal.admin.manager = 127.0.0.1:8089
canal.admin.port = 11110
canal.admin.user = admin
canal.admin.passwd = 4ACFE3202A5FF5CF467898FC58AAB1D615029441
# admin auto register
#canal.admin.register.auto = true
#canal.admin.register.cluster =
#canal.admin.register.name =
canal.zkServers =
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, rocketMQ, rabbitMQ
canal.serverMode = tcp
# flush meta cursor/parse position to file
canal.file.data.dir = ${canal.conf.dir}
canal.file.flush.period = 1000
## memory store RingBuffer size, should be Math.pow(2,n)
......
- 说明：这个文件是canal的基本通用配置，canal端口号默认就是 11111，修改canal的输出model，默认tcp，改为输出到 kafka多实例配置如果创建多个实例，通过前面canal架构，我们可以知道，一个canal服务中可以有多个instance，conf/下的每一个example即是一个实例，每个实例下面都有独立的配置文件。默认只有一个实例example，如果需要多个实例处理不同的 MySQL 数据的话，直接拷贝出多个 example，并对其重新命名，命名和配置文件中指定的名称一致，然后修改
canal.properties 中的 canal.destinations=实例 1，实例 2，实例 3。
#################################################
######### destinations #############
#################################################
canal.destinations = example
修改 instance.properties
配置 MySQL 服务器地址
#################################################
## mysql serverId , v1.0.26+ will autoGen
canal.instance.mysql.slaveId=20
# enable gtid use true/false
canal.instance.gtidon=false
# position info
canal.instance.master.address=hadoop100:3306
配置连接 MySQL 的用户名和密码，默认就是我们前面授权的 canal
# username/password
canal.instance.dbUsername=canal
canal.instance.dbPassword=canal
canal.instance.connectionCharset = UTF-8
canal.instance.defaultDatabaseName =test
# enable druid Decrypt database password
canal.instance.enableDruid=false
启动服务
bin/startup.sh
[root@cnnxpredn02 canal]# cat canal.log
2022-03-07 08:47:21.349 [main] INFO com.alibaba.otter.canal.deployer.CanalLauncher - ## set default uncaught exception handler
2022-03-07 08:47:21.398 [main] INFO com.alibaba.otter.canal.deployer.CanalLauncher - ## load canal configurations
2022-03-07 08:47:21.415 [main] INFO com.alibaba.otter.canal.deployer.CanalStarter - ## start the canal server.
2022-03-07 08:47:21.475 [main] INFO com.alibaba.otter.canal.deployer.CanalController - ## start the canal server):11111]
2022-03-07 08:47:23.137 [main] INFO com.alibaba.otter.canal.deployer.CanalStarter - ## the canal server is running now ......
canal-adapter 的下载和安装
下载并解
在application.yml中配置MySQL和clickhouse的连接信息
...
# srcDataSources:
defaultDS:
url: jdbc:mysql://ip:3306/database?useUnicode=true
username: user
password: pass
canalAdapters:
- instance: test # canal instance Name or mq topic name
groups:
- groupId: g1
outerAdapters:
- name: logger
- name: rdb
key: mysql1
properties:
jdbc.driverClassName: ru.yandex.clickhouse.ClickHouseDriver
jdbc.url: jdbc:clickhouse://ip:port/database
jdbc.username: user
jdbc.password: pass
# - name: rdb
...
在/opt/soft/canal-adapter/conf/rdb/mytest_user.yml中配置需要同步的库表信息
- canal可以同步整个库的所有表和单表的表，配置都在这里进行配置，如果需要同步多张表的数据，就在rdb下创建多个类似的配置文件，文件名可以用表名来命名。
Mirror schema synchronize config
dataSourceKey: defaultDS
destination: test
groupId: g1
outerAdapterKey: mysql1
concurrent: true
dbMapping:
mirrorDb: true
database: testck
启动canal-adapter服务
bin/startup.sh
- 在/.../canal-adapter/logs/adapter下查看日志
