这里写目录标题

简介
- 工作原理
- - MySQL主备复制原理
  - canal 工作原理
  - canal 使用流程
环境搭建
- 环境使用版本
- mysql配置
- - 修改配置
  - 创建从库权限账号
  - 创建测试数据库
  - 创建测试数据表
- elasticsearch配置
- - 创建索引
  - 建立映射
- canal的下载部署
- - 下载canal
  - 配置服务端 canal-deployer
  - 配置客户端canal-adapter
  - canal-adapter启动报错问题
同步测试
- 建立es索引和mysql表的映射
- 插入mysql数据验证同步
数据同步
- canal开启前的数据如何同步
- binlog未开启前的历史数据如何同步？
- es数组类型同步
- 多张表数据同步到一个索引中

简介

在这里插入图片描述
canal基于MySQL数据库增量日志解析，提供增量数据订阅和消费，是阿里开源CDC工具，它可以获取MySQL binlog数据并解析，然后将数据变动传输给下游。基于canal，可以实现从MySQL到其他数据库的实时同步

工作原理

MySQL主备复制原理

MySQL master 将数据变更写入二进制日志( binary log, 其中记录叫做二进制日志事件binary log events，可以通过 show binlog events 进行查看)
MySQL slave 将 master 的 binary log events 拷贝到它的中继日志(relay log)
MySQL slave 重放 relay log 中事件，将数据变更反映它自己的数据

canal 工作原理

canal 模拟 MySQL slave 的交互协议，伪装自己为 MySQL slave ，向 MySQL master 发送dump 协议
MySQL master 收到 dump 请求，开始推送 binary log 给 slave (即 canal )
canal 解析 binary log 对象(原始为 byte 流)

以上来自canal的github介绍，链接：https://github.com/alibaba/canal

canal 使用流程

在这里插入图片描述

部署Deployer服务，该服务负责从上游拉取binlog数据、记录位点等
部署Client-Adapter服务，该服务负责对接Deployer解析过的数据，并将数据传输到目标库中。
部署完成后，canal默认会自动同步MySQL增量数据。
如果需要同步MySQL全量数据，请手动调用Client-Adapter服务的方法触发同步任务。
待全量数据同步完成后，canal会自动开始增量同步。

环境搭建

环境使用版本

需要注意版本对应，canal1.1.6版本需要jdk11，canal1.1.5版本支持jdk8

应用	版本
mysql	8.0.28
elasticsearch	7.9.2
canal	1.1.5
jdk	8

mysql配置

修改配置

配置数据库my.cnf文件，如果是windows则配置my.ini文件

#设置serveri_id
server_id=101
#开启二进制日志功能
log-bin=mall-mysql-bin
#设置使用的二进制日志格式（mixed,statement,row）
binlog_format=row

配置完成重启mysql,使用 show variables like ‘%log_bin%’; 命令查看是否开启

mysql> show variables like '%log_bin%';
+---------------------------------+-------------------------------------+
| Variable_name                   | Value                               |
+---------------------------------+-------------------------------------+
| log_bin                         | ON                                  |
| log_bin_basename                | /var/lib/mysql/mall-mysql-bin       |
| log_bin_index                   | /var/lib/mysql/mall-mysql-bin.index |
| log_bin_trust_function_creators | OFF                                 |
| log_bin_use_v1_row_events       | OFF                                 |
| sql_log_bin                     | ON                                  |
+---------------------------------+-------------------------------------+
6 rows in set (0.12 sec)

查看是否为row模式

mysql> show variables like '%binlog_format%';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| binlog_format | ROW   |
+---------------+-------+
1 row in set (0.02 sec)

创建从库权限账号

创建从库权限账号canal，用于订阅binlog

mysql> create user canal identified by 'Password@123';
mysql> grant select, replication slave, replication client on *.* to 'canal'@'%';
mysql> flush privileges;

创建测试数据库

mysql> CREATE DATABASE canal;
mysql> CREATE DATABASE IF NOT EXISTS canal default charset utf8 COLLATE utf8_general_ci;

创建测试数据表

CREATE TABLE `test_book` (
  `id` bigint unsigned NOT NULL AUTO_INCREMENT,
  `title` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci DEFAULT NULL COMMENT '题名',
  `isbn` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci DEFAULT NULL COMMENT 'isbn',
  `author` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci DEFAULT NULL COMMENT '作者',
  `publisher_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci DEFAULT NULL COMMENT '出版社名',
  PRIMARY KEY (`id`) USING BTREE
) ENGINE=InnoDB  DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci ROW_FORMAT=DYNAMIC

elasticsearch配置

创建索引

在这里插入图片描述

建立映射

{
  "properties": {
    "id": {
      "type": "long"
    },
    "title": {
      "type": "text"
    },
    "isbn": {
      "type": "text"
    },
    "author": {
      "type": "text"
    },
    "publisherName": {
      "type": "text"
    }
  }
}

在这里插入图片描述

canal的下载部署

下载canal

下载地址：https://github.com/alibaba/canal/releases
在这里插入图片描述
下载解压到服务器指定目录

配置服务端 canal-deployer

canal-deployer伪装成mysql的从库，监听binlog接收数据，目录结构如下：
在这里插入图片描述
修改配置/conf/canal.properties,除了ip和port外，其他配置可不改动

#canal的server地址：127.0.0.1
canal.ip =127.0.0.1
#canal端口，用于客户端监听
canal.port = 11111

修改配置/conf/example/instance.properties

#被同步的mysql地址
canal.instance.master.address=127.0.0.1:3306
#数据库从库权限账号
canal.instance.dbUsername=canal
#数据库从库权限账号的密码
canal.instance.dbPassword=Password@123
#数据库连接编码 
canal.instance.connectionCharset = UTF-8 
#需要订阅binlog的表过滤正则表达式
canal.instance.filter.regex=.*\\..*

启动canal-deployer，进入bin目录，执行启动命令：

./startup.sh

查看日志：/logs/canal/canal.log

2023-02-02 15:28:16.016 [main] INFO  com.alibaba.otter.canal.deployer.CanalLauncher - ## set default uncaught exception handler
2023-02-02 15:28:16.043 [main] INFO  com.alibaba.otter.canal.deployer.CanalLauncher - ## load canal configurations
2023-02-02 15:28:16.054 [main] INFO  com.alibaba.otter.canal.deployer.CanalStarter - ## start the canal server.
2023-02-02 15:28:16.112 [main] INFO  com.alibaba.otter.canal.deployer.CanalController - ## start the canal server[127.0.0.1(127.0.0.1):11111]
2023-02-02 15:28:17.824 [main] INFO  com.alibaba.otter.canal.deployer.CanalStarter - ## the canal server is running now ......

查看日志：/logs/canal/canal.log

2023-02-02 15:28:17.590 [main] INFO  c.a.otter.canal.instance.spring.CanalInstanceWithSpring - start CannalInstance for 1-example 
2023-02-02 15:28:17.619 [main] WARN  c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table filter : ^.*\..*$
2023-02-02 15:28:17.619 [main] WARN  c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table black filter : ^mysql\.slave_.*$
2023-02-02 15:28:17.757 [destination = example , address = /127.0.0.1:3306 , EventParser] WARN  c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> begin to find start position, it will be long time for reset or first position
2023-02-02 15:28:17.776 [main] INFO  c.a.otter.canal.instance.core.AbstractCanalInstance - start successful....
2023-02-02 15:28:17.776 [destination = example , address = /127.0.0.1:3306 , EventParser] WARN  c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - prepare to find start position just show master status
2023-02-02 15:28:18.382 [destination = example , address = /127.0.0.1:3306 , EventParser] WARN  c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> find start position successfully, EntryPosition[included=false,journalName=mall-mysql-bin.000008,position=12380,serverId=101,gtid=,timestamp=1675309792000] cost : 610ms , the next step is binlog dump

日志如上就已经成功启动

可能的问题： caching_sha2_password Auth failed
原因：
使用mysql版本为8.0,而创建用户时默认的密码加密方式为caching_sha2_password，所以修改为mysql_native_password

ALTER USER 'canal'@'%' IDENTIFIED WITH mysql_native_password BY '密码'; #更新一下用户密码
FLUSH PRIVILEGES; #刷新权限

配置客户端canal-adapter

canal-adapter：作为canal的客户端，会从canal-server中获取数据，然后同步数据到MySQL、Elasticsearch等存储中去。目录结构如下：
在这里插入图片描述
修改配置/conf/application.yml

server:
  port: 8081
spring:
  jackson:
    date-format: yyyy-MM-dd HH:mm:ss
    time-zone: GMT+8
    default-property-inclusion: non_null
    
canal.conf:
  mode: tcp # 客户端的模式，可选tcp kafka rocketMQ
  flatMessage: true # 扁平message开关, 是否以json字符串形式投递数据, 仅在kafka/rocketMQ模式下有效
  zookeeperHosts:    # 对应集群模式下的zk地址
  syncBatchSize: 1000 # 每次同步的批数量
  retries: 0 # 重试次数, -1为无限重试
  timeout: # 同步超时时间, 单位毫秒
  accessKey:
  secretKey:
  consumerProperties:
    # canal tcp consumer
    canal.tcp.server.host: 127.0.0.1:11111 #设置canal-server的地址
    canal.tcp.zookeeper.hosts:
    canal.tcp.batch.size: 500
    canal.tcp.username:
    canal.tcp.password:
 
  srcDataSources: # 源数据库配置
    defaultDS:
      url: jdbc:mysql://127.0.0.1:3306/canal?useUnicode=true&useSSL=true #测试数据库连接
      username: root #数据库账号
      password: Cxstar@2014 #数据库密码
  canalAdapters: # 适配器列表
  - instance: example # canal实例名或者MQ topic名
    groups: # 分组列表
    - groupId: g1 # 分组id, 如果是MQ模式将用到该值
      outerAdapters:
      - name: logger # 日志打印适配器
      - name: es7 # ES同步适配器
        hosts: 192.168.0.182:9200 # ES连接地址
        properties:
          mode: rest # 模式可选transport(9300) 或者 rest(9200)
          #security.auth: elastic:123456 #  连接es的用户和密码，仅rest模式使用
          cluster.name: elasticsearch # ES集群名称, 与es目录下 elasticsearch.yml文件cluster.name对应

进入/conf/es7目录下，复制mytest_user.yml命名为test_book.yml，同时修改：

dataSourceKey: defaultDS # 源数据源的key, 对应上面配置的srcDataSources中的值
destination: example  # canal的instance或者MQ的topic
groupId: g1 # 对应MQ模式下的groupId, 只会同步对应groupId的数据
esMapping:
  _index: test_book # es 的索引名称
  _id: _id  # es 的_id, 如果不配置该项必须配置下面的pk项_id则会由es自动分配
  sql: "SELECT
         tb.id AS _id,
         tb.title,
         tb.isbn,
         tb.author,
         tb.publisher_name as publisherName
        FROM
         test_book tb"        # sql映射
  etlCondition: "where p.id>={}"   #etl的条件参数
  commitBatch: 3000   # 提交批大小

启动canal-adapter，进入bin目录，执行启动命令：

./startup.sh

canal-adapter启动报错问题

1.com.mysql.jdbc.exceptions.jdbc4.CommunicationsException: Communications link failure

[main] ERROR com.alibaba.druid.pool.DruidDataSource - init datasource error, url: jdbc:mysql://127.0.0.1:3306/canal?useUnicode=true&useSSL=true
com.mysql.jdbc.exceptions.jdbc4.CommunicationsException: Communications link failure
The last packet successfully received from the server was 216 milliseconds ago.  The last packet sent successfully to the server was 210 milliseconds ago.

解决方法：/conf/application.yml 中的mysql连接去除&useSSL=true

2.com.alibaba.druid.pool.DruidDataSource cannot be cast to com.alibaba.druid.pool.DruidDataSource

ERROR c.a.o.canal.adapter.launcher.loader.CanalAdapterLoader - Load canal adapter: es7 failed
java.lang.RuntimeException: java.lang.RuntimeException: java.lang.ClassCastException: com.alibaba.druid.pool.DruidDataSource cannot be cast to com.alibaba.druid.pool.DruidDataSource
	at com.alibaba.otter.canal.client.adapter.es7x.ES7xAdapter.init(ES7xAdapter.java:54) ~[client-adapter.es7x-1.1.5-jar-with-dependencies.jar:na]

原因：druid 包冲突
解决方法：
方法1.下载源码包，修改client-adapter/escore/pom.xml

<dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <scope>provided</scope>
 </dependency>

打包后将client-adapter/es7x/target/client-adapter.es7x-1.1.5-jar-with-dependencies.jar上传到服务器，替换adataper/plugin下的同名jar文件

方法2.下载v1.1.5-alpha-2，
在这里插入图片描述
找到plugin目录下的client-adapter.es7x-1.1.5-SNAPSHOT-jar-with-dependencies.jar
上传到服务器 canal.adapter-1.1.5/plugin目录下，同时删除client-adapter.es7x-1.1.5-jar-with-dependencies.jar

3.Load canal adapter: es7 failed，Name or service not known

 ERROR c.a.o.canal.adapter.launcher.loader.CanalAdapterLoader - Load canal adapter: es7 failed
java.lang.RuntimeException: java.net.UnknownHostException: http: Name or service not known
	at com.alibaba.otter.canal.client.adapter.es7x.ES7xAdapter.init(ES7xAdapter.java:54) ~[client-adapter.es7x-1.1.5-SNAPSHOT-jar-with-dependencies.jar:na]

解决方案：/conf/application.yml配置中，hosts不要带http://
4.java.lang.NullPointerException: esMapping._type

ERROR c.a.o.c.client.adapter.es.core.monitor.ESConfigMonitor - esMapping._type
java.lang.NullPointerException: esMapping._type
        at com.alibaba.otter.canal.client.adapter.es.core.config.ESSyncConfig.validate(ESSyncConfig.java:35) ~[client-adapter.es7x-1.1.5-SNAPSHOT-jar-with-dependencies.jar:na]
        at com.alibaba.otter.canal.client.adapter.es.core.monitor.ESConfigMonitor$FileListener.onFileChange(ESConfigMonitor.java:102) ~[client-adapter.es7x-1.1.5-SNAPSHOT-jar-with-dependencies.jar:na]
        at org.apache.commons.io.monitor.FileAlterationObserver.doMatch(FileAlterationObserver.java:400) [commons-io-2.4.jar:2.4]
        at org.apache.commons.io.monitor.FileAlterationObserver.checkAndNotify(FileAlterationObserver.java:334) [commons-io-2.4.jar:2.4]
        at org.apache.commons.io.monitor.FileAlterationObserver.checkAndNotify(FileAlterationObserver.java:304) [commons-io-2.4.jar:2.4]
        at org.apache.commons.io.monitor.FileAlterationMonitor.run(FileAlterationMonitor.java:182) [commons-io-2.4.jar:2.4]
        at java.lang.Thread.run(Thread.java:748) [na:1.8.0_221]

解决方案：canal.adapter-1.1.5/conf/es7目录下的yml中增加一个官方配置的属性
在这里插入图片描述

hosts: 192.168.0.182:9200 # ES连接地址

验证canal-adapter是否启动成功
查看日志 canal.adapter-1.1.5/logs/adapter/adapter.log

[org.springframework.cloud.context.properties:name=configurationPropertiesRebinder,context=2b76ff4e,type=ConfigurationPropertiesRebinder]
2023-02-03 09:34:13.373 [main] INFO  c.a.o.canal.adapter.launcher.loader.CanalAdapterService - ## syncSwitch refreshed.
2023-02-03 09:34:13.374 [main] INFO  c.a.o.canal.adapter.launcher.loader.CanalAdapterService - ## start the canal client adapters.
2023-02-03 09:34:13.375 [main] INFO  c.a.otter.canal.client.adapter.support.ExtensionLoader - extension classpath dir: /home/canal/canal-test/canal.adapter-1.1.5/plugin
2023-02-03 09:34:13.418 [main] INFO  c.a.o.canal.adapter.launcher.loader.CanalAdapterLoader - Load canal adapter: logger succeed
2023-02-03 09:34:13.643 [main] INFO  c.a.o.c.client.adapter.es.core.config.ESSyncConfigLoader - ## Start loading es mapping config ... 
2023-02-03 09:34:13.726 [main] INFO  c.a.o.c.client.adapter.es.core.config.ESSyncConfigLoader - ## ES mapping config loaded
2023-02-03 09:34:13.995 [main] INFO  c.a.o.canal.adapter.launcher.loader.CanalAdapterLoader - Load canal adapter: es7 succeed
2023-02-03 09:34:14.005 [main] INFO  c.alibaba.otter.canal.connector.core.spi.ExtensionLoader - extension classpath dir: /home/canal/canal-test/canal.adapter-1.1.5/plugin
2023-02-03 09:34:14.029 [main] INFO  c.a.o.canal.adapter.launcher.loader.CanalAdapterLoader - Start adapter for canal-client mq topic: example-g1 succeed
2023-02-03 09:34:14.029 [Thread-4] INFO  c.a.otter.canal.adapter.launcher.loader.AdapterProcessor - =============> Start to connect destination: example <=============
2023-02-03 09:34:14.029 [main] INFO  c.a.o.canal.adapter.launcher.loader.CanalAdapterService - ## the canal client adapters are running now ......
2023-02-03 09:34:14.037 [main] INFO  org.apache.coyote.http11.Http11NioProtocol - Starting ProtocolHandler ["http-nio-8081"]
2023-02-03 09:34:14.039 [main] INFO  org.apache.tomcat.util.net.NioSelectorPool - Using a shared selector for servlet write/read
2023-02-03 09:34:14.067 [main] INFO  o.s.boot.web.embedded.tomcat.TomcatWebServer - Tomcat started on port(s): 8081 (http) with context path ''
2023-02-03 09:34:14.080 [main] INFO  c.a.otter.canal.adapter.launcher.CanalAdapterApplication - Started CanalAdapterApplication in 5.221 seconds (JVM running for 5.807)
2023-02-03 09:34:14.169 [Thread-4] INFO  c.a.otter.canal.adapter.launcher.loader.AdapterProcessor - =============> Subscribe destination: example succeed <=============

同步测试

建立es索引和mysql表的映射

在客户端目录canal.adapter-1.1.5/conf/es7下配置字段的映射，adapter默认会加载es路径下的所有yml文件。一个配置文件表示一张表的mapping。
建立es和mysql的映射文件test_book.yml

dataSourceKey: defaultDS # 源数据源的key, 对应上面配置的srcDataSources中的值
destination: example  # canal的instance或者MQ的topic
groupId: g1 # 对应MQ模式下的groupId, 只会同步对应groupId的数据
esVersion: es7
esMapping:
  _index: test_book # es 的索引名称
  _id: _id  # es 的_id, 如果不配置该项必须配置下面的pk项_id则会由es自动分配
  sql: "SELECT
         b.id AS _id, 
         b.title,
         b.author,
         b.isbn,
         b.publisher_name as publisherName
        FROM
         test_book b"        # sql映射
  etlCondition: "where p.id>={}"   #etl的条件参数
  commitBatch: 5000   # 提交批大小

插入mysql数据验证同步

INSERT INTO `canal`.`test_book`( `title`, `isbn`, `author`, `publisher_name`) VALUES (  '三体', '98741254125', '刘慈欣', '工业出版社');

查看日志 canal.adapter-1.1.5/logs/adapter/adapter.log

2023-02-03 10:18:21.988 [pool-2-thread-1] INFO  c.a.o.canal.client.adapter.logger.LoggerAdapterExample - DML: {"data":[{"id":3,"title":"三体","isbn":"98741254125","author":"刘慈欣","publisher_name":"工业出版社"}],"database":"canal","destination":"example","es":1675390701000,"groupId":"g1","isDdl":false,"old":null,"pkNames":["id"],"sql":"","table":"test_book","ts":1675390701977,"type":"INSERT"}
2023-02-03 10:18:22.225 [pool-2-thread-1] DEBUG c.a.o.canal.client.adapter.es.core.service.ESSyncService - DML: {"data":[{"id":3,"title":"三体","isbn":"98741254125","author":"刘慈欣","publisher_name":"工业出版社"}],"database":"canal","destination":"example","es":1675390701000,"groupId":"g1","isDdl":false,"old":null,"pkNames":["id"],"sql":"","table":"test_book","ts":1675390701977,"type":"INSERT"} 
Affected indexes: test_book

查看es数据，已经成功同步
在这里插入图片描述

数据同步

canal开启前的数据如何同步

canal-adapter提供一个REST接口可全量同步数据到ES，调用Client-Adapter服务的方法触发同步任务。此时，canal会先中止增量数据传输，然后同步全量数据。待全量数据同步完成后，canal会自动进行增量数据同步。
注意：如果数据是binlog开启前存在，则不可以使用此种方式

curl http://127.0.0.1:8081/etl/es7/test_book.yml -X POST

同步日志：

2023-02-03 10:41:35.043 [http-nio-8081-exec-1] INFO  c.a.otter.canal.client.adapter.es7x.etl.ESEtlService - start etl to import data to index: test_book
2023-02-03 10:41:35.130 [http-nio-8081-exec-1] INFO  c.a.otter.canal.client.adapter.es7x.etl.ESEtlService - 数据全量导入完成, 一共导入 3 条数据, 耗时: 85

binlog未开启前的历史数据如何同步？

因为canal是基于binlog实现全量同步的，那么未开启binlog之前的历史数据就无法被同步，将数据库中的数据导出再重新导入一遍，这样就可以生成binlog

es数组类型同步

adapter配置文件中添加配置

  objFields:
    author: array:, #代表字段以,分割

配置更新后会监听到配置改变，无需重启

2023-02-03 11:33:24.098 [Thread-3] INFO  c.a.o.c.client.adapter.es.core.monitor.ESConfigMonitor - Change a es mapping config: test_book.yml of canal adapter

更新数据，author字段

UPDATE `canal`.`test_book` SET `title` = '三体', `isbn` = '98741254125', `author` = '刘慈欣,刘电工', `publisher_name` = '工业出版社' WHERE `id` = 1;

es中的数据已改变
在这里插入图片描述

多张表数据同步到一个索引中

yml映射文件中，主表一定要在最左侧，从表的数据改变也会自动同步到es中！
示例：journal_volume 表中的数据改变，也会自动同步到journal_paper 表对应的es索引中

SELECT  
    jp.id AS _id, 
    jp.sid AS sid, 
    jp.import_id AS importId, 
    jp.journal_id AS journalId, 
    jp.journal_volume_id AS journalVolumeId, 
    jv.`year` as year,
    jv.volume as volume,
    jv.issue as issue,
    j.publisher_name as publisherName
FROM journal_paper jp 
left join journal_volume jv on jp.journal_volume_id=jv.id
left join journal j on j.id=jp.journal_id