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配置ES索引同步环境v1.0

1 配置Canal+MQ数据同步环境

1.1 配置Mysql主从同步

根据Canal的工作原理，首先需要开启MySQL主从同步。

1.在MySQL中需要创建一个用户，并授权

进入mysql容器：

docker exec -it mysql /bin/bash

-- 使用命令登录：

mysql -u root -p

-- 创建用户用户名：canal 密码：canal

Java

create user 'canal'@'%' identified WITH mysql_native_password by 'canal';

-- 授权 *.*表示所有库

Java

GRANT SELECT,REPLICATION SLAVE,REPLICATION CLIENT ON *.* TO 'canal'@'%';
FLUSH PRIVILEGES;

SELECT： 允许用户查询（读取）数据库中的数据。
REPLICATION SLAVE： 允许用户作为 MySQL 复制从库，用于同步主库的数据。
REPLICATION CLIENT： 允许用户连接到主库并获取关于主库状态的信息。

在MySQL配置文件my.cnf设置如下信息，开启 Binlog 写入功能，配置 binlog-format 为 ROW 模式

ROW 模式表示以行为单位记录每个被修改的行的变更

修改如下：

vi /usr/mysql/conf/my.cnf

Java

[mysqld]
#打开binlog
log-bin=mysql-bin
#选择ROW(行)模式
binlog-format=ROW
#配置MySQL replaction需要定义，不要和canal的slaveId重复
server_id=1

expire_logs_days=3
max_binlog_size = 100m
max_binlog_cache_size = 512m

说明：在学习阶段为了保证足够的服务器存储空间，binlog日志最大保存100m，mysql会定时清理binlog

2、重启MySQL，查看配置信息

使用命令查看是否打开binlog模式：

SHOW VARIABLES LIKE 'log_bin';

ON表示开启binlog模式。

show variables like 'binlog_format';

当 binlog_format 的值为 row 时，表示 MySQL 服务器当前配置为使用行级别的二进制日志记录，这对于数据库复制和数据同步来说更为安全，因为它记录了对数据行的确切更改。

查看binlog日志文件列表：

SHOW BINARY LOGS;

查看当前正在写入的binlog文件：

SHOW MASTER STATUS;

1.2 安装Canal（使用下发虚拟机无需安装）

获取canal镜像

docker pull canal/canal-server:latest

创建/data/soft/canal目录:

mkdir -p /data/soft/canal

在/data/soft/canal下创建 canal.properties，内容如下，注意修改mq的配置信息：

Java

#################################################
#########               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 = rabbitMQ
# 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)
canal.instance.memory.buffer.size = 16384
## memory store RingBuffer used memory unit size , default 1kb
canal.instance.memory.buffer.memunit = 1024 
## meory store gets mode used MEMSIZE or ITEMSIZE
canal.instance.memory.batch.mode = MEMSIZE
canal.instance.memory.rawEntry = true

## detecing config
canal.instance.detecting.enable = false
#canal.instance.detecting.sql = insert into retl.xdual values(1,now()) on duplicate key update x=now()
canal.instance.detecting.sql = select 1
canal.instance.detecting.interval.time = 3
canal.instance.detecting.retry.threshold = 3
canal.instance.detecting.heartbeatHaEnable = false

# support maximum transaction size, more than the size of the transaction will be cut into multiple transactions delivery
canal.instance.transaction.size =  1024
# mysql fallback connected to new master should fallback times
canal.instance.fallbackIntervalInSeconds = 60

# network config
canal.instance.network.receiveBufferSize = 16384
canal.instance.network.sendBufferSize = 16384
canal.instance.network.soTimeout = 30

# binlog filter config
canal.instance.filter.druid.ddl = true
canal.instance.filter.query.dcl = false
# 这个配置一定要修改
canal.instance.filter.query.dml = true
canal.instance.filter.query.ddl = false
canal.instance.filter.table.error = false
canal.instance.filter.rows = false
canal.instance.filter.transaction.entry = false
canal.instance.filter.dml.insert = false
canal.instance.filter.dml.update = false
canal.instance.filter.dml.delete = false

# binlog format/image check
canal.instance.binlog.format = ROW,STATEMENT,MIXED 
canal.instance.binlog.image = FULL,MINIMAL,NOBLOB

# binlog ddl isolation
canal.instance.get.ddl.isolation = false

# parallel parser config
canal.instance.parser.parallel = true
## concurrent thread number, default 60% available processors, suggest not to exceed Runtime.getRuntime().availableProcessors()
#canal.instance.parser.parallelThreadSize = 16
## disruptor ringbuffer size, must be power of 2
canal.instance.parser.parallelBufferSize = 256

# table meta tsdb info
canal.instance.tsdb.enable = true
canal.instance.tsdb.dir = ${canal.file.data.dir:../conf}/${canal.instance.destination:}
canal.instance.tsdb.url = jdbc:h2:${canal.instance.tsdb.dir}/h2;CACHE_SIZE=1000;MODE=MYSQL;
canal.instance.tsdb.dbUsername = canal
canal.instance.tsdb.dbPassword = canal
# dump snapshot interval, default 24 hour
canal.instance.tsdb.snapshot.interval = 24
# purge snapshot expire , default 360 hour(15 days)
canal.instance.tsdb.snapshot.expire = 360

#################################################
#########               destinations            #############
#################################################
canal.destinations = xzb-canal
# conf root dir
canal.conf.dir = ../conf
# auto scan instance dir add/remove and start/stop instance
canal.auto.scan = true
canal.auto.scan.interval = 5
# set this value to 'true' means that when binlog pos not found, skip to latest.
# WARN: pls keep 'false' in production env, or if you know what you want.
canal.auto.reset.latest.pos.mode = false

canal.instance.tsdb.spring.xml = classpath:spring/tsdb/h2-tsdb.xml
#canal.instance.tsdb.spring.xml = classpath:spring/tsdb/mysql-tsdb.xml

canal.instance.global.mode = spring
canal.instance.global.lazy = false
canal.instance.global.manager.address = ${canal.admin.manager}
#canal.instance.global.spring.xml = classpath:spring/memory-instance.xml
canal.instance.global.spring.xml = classpath:spring/file-instance.xml
#canal.instance.global.spring.xml = classpath:spring/default-instance.xml

##################################################
#########             MQ Properties      #############
##################################################
# aliyun ak/sk , support rds/mq
canal.aliyun.accessKey =
canal.aliyun.secretKey =
canal.aliyun.uid=

canal.mq.flatMessage = true
canal.mq.canalBatchSize = 50
canal.mq.canalGetTimeout = 100
# Set this value to "cloud", if you want open message trace feature in aliyun.
canal.mq.accessChannel = local

canal.mq.database.hash = true
canal.mq.send.thread.size = 30
canal.mq.build.thread.size = 8

##################################################
#########                    Kafka                   #############
##################################################
kafka.bootstrap.servers = 127.0.0.1:9092
kafka.acks = all
kafka.compression.type = none
kafka.batch.size = 16384
kafka.linger.ms = 1
kafka.max.request.size = 1048576
kafka.buffer.memory = 33554432
kafka.max.in.flight.requests.per.connection = 1
kafka.retries = 0

kafka.kerberos.enable = false
kafka.kerberos.krb5.file = "../conf/kerberos/krb5.conf"
kafka.kerberos.jaas.file = "../conf/kerberos/jaas.conf"

##################################################
#########                   RocketMQ         #############
##################################################
rocketmq.producer.group = test
rocketmq.enable.message.trace = false
rocketmq.customized.trace.topic =
rocketmq.namespace =
rocketmq.namesrv.addr = 127.0.0.1:9876
rocketmq.retry.times.when.send.failed = 0
rocketmq.vip.channel.enabled = false
rocketmq.tag = 

##################################################
#########                   RabbitMQ         #############
##################################################
rabbitmq.host = 192.168.101.68
rabbitmq.virtual.host = /xzb
rabbitmq.exchange = exchange.canal-jzo2o
rabbitmq.username = xzb
rabbitmq.password = xzb
rabbitmq.deliveryMode = 2

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创建instance.properties，内容如下：

canal.instance.master.journal.name 用于指定主库正在写入的 binlog 文件的名称。

如果不配置 canal.instance.master.journal.name，Canal 会尝试自动检测 MySQL 主库的 binlog 文件，并从最新位置开始进行复制。

Java

#################################################
## mysql serverId , v1.0.26+ will autoGen
canal.instance.mysql.slaveId=1000

# enable gtid use true/false
canal.instance.gtidon=false

# position info
canal.instance.master.address=192.168.101.68:3306
canal.instance.master.journal.name=mysql-bin.000001
canal.instance.master.position=0
canal.instance.master.timestamp=
canal.instance.master.gtid=

# rds oss binlog
canal.instance.rds.accesskey=
canal.instance.rds.secretkey=
canal.instance.rds.instanceId=

# table meta tsdb info
canal.instance.tsdb.enable=true
#canal.instance.tsdb.url=jdbc:mysql://127.0.0.1:3306/canal_tsdb
#canal.instance.tsdb.dbUsername=canal
#canal.instance.tsdb.dbPassword=canal

#canal.instance.standby.address =
#canal.instance.standby.journal.name =
#canal.instance.standby.position =
#canal.instance.standby.timestamp =
#canal.instance.standby.gtid=

# username/password
canal.instance.dbUsername=canal
canal.instance.dbPassword=canal
canal.instance.connectionCharset = UTF-8
# enable druid Decrypt database password
canal.instance.enableDruid=false
#canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiNdH1FWgGCpUfircSwlWKUCAwEAAQ==

# table regex
# canal.instance.filter.regex=test01\\..*,test02\\..*
#canal.instance.filter.regex=test01\\..*,test02\\.t1
#canal.instance.filter.regex=jzo2o-foundations\\.serve_sync,jzo2o-orders-0\\.orders_seize,jzo2o-orders-0\\.orders_dispatch,jzo2o-orders-0\\.serve_provider_sync,jzo2o-customer\\.serve_provider_sync
canal.instance.filter.regex=jzo2o-orders-1\\.orders_dispatch,jzo2o-orders-1\\.orders_seize,jzo2o-foundations\\.serve_sync,jzo2o-customer\\.serve_provider_sync,jzo2o-orders-1\\.serve_provider_sync,jzo2o-orders-1\\.history_orders_sync,jzo2o-orders-1\\.history_orders_serve_sync,jzo2o-market\\.activity
# table black regex
canal.instance.filter.black.regex=mysql\\.slave_.*
# table field filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.field=test1.t_product:id/subject/keywords,test2.t_company:id/name/contact/ch
# table field black filter(format: schema1.tableName1:field1/field2,schema2.tableName2:field1/field2)
#canal.instance.filter.black.field=test1.t_product:subject/product_image,test2.t_company:id/name/contact/ch

# mq config
#canal.mq.topic=topic_test01
# dynamic topic route by schema or table regex
#canal.mq.dynamicTopic=mytest1.user,mytest2\\..*,.*\\..*
#canal.mq.dynamicTopic=topic_test01:test01\\..*,topic_test02:test02\\..*
#canal.mq.dynamicTopic=canal-mq-jzo2o-orders-dispatch:jzo2o-orders-0\\.orders_dispatch,canal-mq-jzo2o-orders-seize:jzo2o-orders-0\\.orders_seize,canal-mq-jzo2o-foundations:jzo2o-foundations\\.serve_sync,canal-mq-jzo2o-customer-provider:jzo2o-customer\\.serve_provider_sync,canal-mq-jzo2o-orders-provider:jzo2o-orders-0\\.serve_provider_sync
canal.mq.dynamicTopic=canal-mq-jzo2o-orders-dispatch:jzo2o-orders-1\\.orders_dispatch,canal-mq-jzo2o-orders-seize:jzo2o-orders-1\\.orders_seize,canal-mq-jzo2o-foundations:jzo2o-foundations\\.serve_sync,canal-mq-jzo2o-customer-provider:jzo2o-customer\\.serve_provider_sync,canal-mq-jzo2o-orders-provider:jzo2o-orders-1\\.serve_provider_sync,canal-mq-jzo2o-orders-serve-history:jzo2o-orders-1\\.history_orders_serve_sync,canal-mq-jzo2o-orders-history:jzo2o-orders-1\\.history_orders_sync,canal-mq-jzo2o-market-resource:jzo2o-market\\.activity
canal.mq.partition=0
# hash partition config
#canal.mq.partitionsNum=3
#canal.mq.partitionHash=test.table:id^name,.*\\..*
#canal.mq.dynamicTopicPartitionNum=test.*:4,mycanal:6
#################################################

canal.instance.filter.regex和canal.mq.dynamicTopic的配置稍后解释。

创建日志目录：

mkdir -p /data/soft/canal/logs /data/soft/canal/conf

启动容器：

Java

docker run --name canal -p 11111:11111 -d -v /data/soft/canal/instance.properties:/home/admin/canal-server/conf/xzb-canal/instance.properties  -v /data/soft/canal/canal.properties:/home/admin/canal-server/conf/canal.properties -v /data/soft/canal/logs:/home/admin/canal-server/logs/xzb-canal -v /data/soft/canal/conf:/home/admin/canal-server/conf/xzb-canal canal/canal-server:latest

1.3 安装RabbitMQ（使用下发虚拟机无需安装）

拉取镜像（如果未拉取过镜像）

docker pull registry.cn-hangzhou.aliyuncs.com/itheima/rabbitmq:3.9.17-management-delayed

创建文件夹和文件

mkdir -p /data/soft/rabbitmq/config /data/soft/rabbitmq/data /data/soft/rabbitmq/plugins

启动容器

PowerShell

docker run \
--privileged \
 -e RABBITMQ_DEFAULT_USER=czri \
 -e RABBITMQ_DEFAULT_PASS=czri1234 \
 --restart=always \
 --name rabbitmq \
 --hostname rabbitmq \
 -v /data/soft/rabbitmq/config:/etc/rabbitmq \
 -v /data/soft/rabbitmq/data:/var/lib/rabbitmq \
 -p 15672:15672 \
 -p 5672:5672 \
 -d \
 registry.cn-hangzhou.aliyuncs.com/itheima/rabbitmq:3.9.17-management-delayed

启动rabbitmq管理端

进入rabbitmq容器:docker exec -it rabbitmq /bin/bash

运行下边的命令：

Shell

# 启动rabbitmq管理端
rabbitmq-plugins enable rabbitmq_management
# 启动延迟队列插件
rabbitmq-plugins enable rabbitmq_delayed_message_exchange

5、进入rabbitmq管理界面

http://192.168.101.68:15672/

账号：czri

密码：czri1234

6、创建虚拟主机 /xzb

7、创建账号和密码

xzb/xzb

设置权限可以访问/ /xzb

设置成功：

1.4 配置Canal+RabbitMQ

下边通过配置Canal与RabbitMQ，保证Canal收到binlog消息将数据发送至MQ。

最终我们要实现的是：

修改jzo2o-foundations数据库下的serve_sync表的数据后通过canal将修改信息发送到MQ。

1、在Canal中配置RabbitMQ的连接信息

修改/data/soft/canal/canal.properties

Java

# tcp, kafka, rocketMQ, rabbitMQ
canal.serverMode = rabbitMQ

##################################################
#########                     RabbitMQ             #############
##################################################
rabbitmq.host = 192.168.101.68
rabbitmq.virtual.host = /xzb
rabbitmq.exchange = exchange.canal-jzo2o
rabbitmq.username = xzb
rabbitmq.password = xzb
rabbitmq.deliveryMode = 2

本项目用于数据同步的MQ交换机：exchange.canal-jzo2o

虚拟主机地址：/xzb

账号和密码：xzb/xzb

rabbitmq.deliveryMode = 2 设置消息持久化

2、设置需要监听的mysql库和表

修改/data/soft/canal/instance.properties

canal.instance.filter.regex 需要监听的mysql库和表
- 全库： .*\\..*
- 指定库下的所有表： canal\\..*
- 指定库下的指定表： canal\\.canal,test\\.test
  - 库名\\.表名：转义需要用\\，使用逗号分隔多个库

这里配置监听 jzo2o-foundations数据库下serve_sync表，如下：

Java

canal.instance.filter.regex=jzo2o-foundations\\.serve_sync

3、在Canal配置MQ的topic

这里使用动态topic，格式为：topic:schema.table,topic:schema.table,topic:schema.table

配置如下：

Java

canal.mq.dynamicTopic=canal-mq-jzo2o-foundations:jzo2o-foundations\\.serve_sync

上边的配置表示：对jzo2o-foundations数据库的serve_sync表的修改消息发到topic为canal-mq-jzo2o-foundations关联的队列

4、进入rabbitMQ配置交换机和队列

创建exchange.canal-jzo2o交换机：

创建队列：canal-mq-jzo2o-foundations

绑定交换机：

绑定成功：

1.5 测试数据同步

重启canal

修改jzo2o-foundations数据库的serve_sync表的数据，稍等片刻查看canal-mq-jzo2o-foundations队列，如果队列中有的消息说明同步成功，如下图：

如果没有同步到 MQ参考常见问题中“数据不同步”进行解决。

我们可以查询队列中的消息内容发现它一条type为"UPDATE"的消息，如下所示：

JSON

{
   "data" : [
      {
         "city_code" : "010",
         "detail_img" : "https://yjy-xzbjzfw-oss.oss-cn-hangzhou.aliyuncs.com/be1449d6-1c2d-4cca-9f8a-4b562b79998d.jpg",
         "hot_time_stamp" : "1692256062300",
         "id" : "1686352662791016449",
         "is_hot" : "1",
         "price" : "5.0",
         "serve_item_icon" : "https://yjy-xzbjzfw-oss.oss-cn-hangzhou.aliyuncs.com/8179d29c-6b85-4c08-aa13-08429a91d86a.png",
         "serve_item_id" : "1678727478181957634",
         "serve_item_img" : "https://yjy-xzbjzfw-oss.oss-cn-hangzhou.aliyuncs.com/9b87ab7c-9592-4090-9299-5bcf97409fb9.png",
         "serve_item_name" : "日常维修ab",
         "serve_item_sort_num" : "6",
         "serve_type_icon" : "https://yjy-xzbjzfw-oss.oss-cn-hangzhou.aliyuncs.com/c8725882-1fa7-49a6-94ab-cac2530b3b7b.png",
         "serve_type_id" : "1678654490336124929",
         "serve_type_img" : "https://yjy-xzbjzfw-oss.oss-cn-hangzhou.aliyuncs.com/00ba6d8a-fd7e-4691-8415-8ada95004b33.png",
         "serve_type_name" : "日常维修12",
         "serve_type_sort_num" : "2",
         "unit" : "1"
      }
   ],
   "database" : "jzo2o-foundations",
   "es" : 1697443035000.0,
   "id" : 1,
   "isDdl" : false,
   "mysqlType" : {
      "city_code" : "varchar(20)",
      "detail_img" : "varchar(255)",
      "hot_time_stamp" : "bigint",
      "id" : "bigint",
      "is_hot" : "int",
      "price" : "decimal(10,2)",
      "serve_item_icon" : "varchar(255)",
      "serve_item_id" : "bigint",
      "serve_item_img" : "varchar(255)",
      "serve_item_name" : "varchar(100)",
      "serve_item_sort_num" : "int",
      "serve_type_icon" : "varchar(255)",
      "serve_type_id" : "bigint",
      "serve_type_img" : "varchar(255)",
      "serve_type_name" : "varchar(255)",
      "serve_type_sort_num" : "int",
      "unit" : "int"
   },
   "old" : [
      {
         "serve_item_name" : "日常维修a"
      }
   ],
   "pkNames" : [ "id" ],
   "sql" : "",
   "sqlType" : {
      "city_code" : 12,
      "detail_img" : 12,
      "hot_time_stamp" : -5,
      "id" : -5,
      "is_hot" : 4,
      "price" : 3,
      "serve_item_icon" : 12,
      "serve_item_id" : -5,
      "serve_item_img" : 12,
      "serve_item_name" : 12,
      "serve_item_sort_num" : 4,
      "serve_type_icon" : 12,
      "serve_type_id" : -5,
      "serve_type_img" : 12,
      "serve_type_name" : 12,
      "serve_type_sort_num" : 4,
      "unit" : 4
   },
   "table" : "serve_sync",
   "ts" : 1697443782457.0,
   "type" : "UPDATE"
}

1.5 配置其它同步队列

按上边的方法配置以下同步队列并与交换机绑定：

canal-mq-jzo2o-customer-provider

canal-mq-jzo2o-foundations

canal-mq-jzo2o-market-resource

canal-mq-jzo2o-orders-dispatch

canal-mq-jzo2o-orders-history

canal-mq-jzo2o-orders-provider

canal-mq-jzo2o-orders-seize

canal-mq-jzo2o-orders-serve-history

先创建队列，再将队列绑定到交换机。

配置完成如下：

查询队列如下：

常见问题

数据不同步

当发现修改了数据库后修改的数据并没有发送到MQ，通过查看Canal的日志发现下边的错误。

进入Canal目录，查看日志：

Java

cd /data/soft/canal/logs
tail -f logs/xzb-canal.log

Canal报错如下：

Java

2023-09-22 08:34:40.802 [destination = xzb-canal , address = /192.168.101.68:3306 , EventParser] WARN  c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> find start position successfully, EntryPosition[included=false,journalName=mysql-bin.000055,position=486221,serverId=1,gtid=,timestamp=1695341830000] cost : 13ms , the next step is binlog dump
2023-09-22 08:34:40.811 [destination = xzb-canal , address = /192.168.101.68:3306 , EventParser] ERROR c.a.o.canal.parse.inbound.mysql.dbsync.DirectLogFetcher - I/O error while reading from client socket
java.io.IOException: Received error packet: errno = 1236, sqlstate = HY000 errmsg = Could not find first log file name in binary log index file
        at com.alibaba.otter.canal.parse.inbound.mysql.dbsync.DirectLogFetcher.fetch(DirectLogFetcher.java:102) ~[canal.parse-1.1.5.jar:na]
        at com.alibaba.otter.canal.parse.inbound.mysql.MysqlConnection.dump(MysqlConnection.java:238) [canal.parse-1.1.5.jar:na]
        at com.alibaba.otter.canal.parse.inbound.AbstractEventParser$1.run(AbstractEventParser.java:262) [canal.parse-1.1.5.jar:na]
        at java.lang.Thread.run(Thread.java:748) [na:1.8.0_181]

找到关键的位置：Could not find first log file name in binary log index file

根据日志分析是Canal找不到mysql-bin.000055 的486221位置，原因是mysql-bin.000055文件不存在，这是由于为了节省磁盘空间将binlog日志清理了。

解决方法：

把canal复位从最开始开始同步的位置。

1）首先重置mysql的bin log：

连接mysql执行：reset master

执行后所有的binlog删除，从000001号开始

通过show master status;查看，结果显示 mysql-bin.000001

2）先停止canal

docker stop canal

3）删除meta.dat

rm -rf /data/soft/canal/conf/meta.dat

再启动canal

docker start canal

MQ同步消息无法消费

这里以Es和MySQL之间的同步举例：

当出现ES和MySQL数据不同步时可能会出现MQ的同步消息无法被消费，比如：从MySQL删除一条记录通过同步程序将ES中对应的记录进行删除，此时由于ES中没有该记录导致删除ES中的记录失败。出现此问题的原因是因为测试数据混乱导致，可以手动将MQ中的消息删除。

进入MQ的管理控制台，进入要清理消息的队列，通过purge功能清理消息：

1 配置Canal+MQ数据同步环境 ​

1.1 配置Mysql主从同步 ​

1.2 安装Canal（使用下发虚拟机无需安装） ​

1.3 安装RabbitMQ（使用下发虚拟机无需安装） ​

1.4 配置Canal+RabbitMQ ​

1.5 测试数据同步 ​

1.5 配置其它同步队列 ​

常见问题 ​

数据不同步 ​

MQ同步消息无法消费 ​

1 配置Canal+MQ数据同步环境

1.1 配置Mysql主从同步

1.2 安装Canal（使用下发虚拟机无需安装）

1.3 安装RabbitMQ（使用下发虚拟机无需安装）

1.4 配置Canal+RabbitMQ

1.5 测试数据同步

1.5 配置其它同步队列

常见问题

数据不同步

MQ同步消息无法消费