使用Canal监听数据库配置时所报的异常记录

使用docker容器来安装canal和mysql

待解决的问题：监听mysql以后对数据据库所做的操作canal监听不到

怀疑canal没有配置好，检查canal的日志后发现异常：

2020-02-15 10:58:24.506 [destination = example , address = /192.168.0.105:3306 , EventParser] ERROR com.alibaba.otter.canal.common.alarm.LogAlarmHandler - destination:example[com.alibaba.otter.canal.parse.exception.CanalParseException: command : ‘show master status’ has an error! pls check. you need (at least one of) the SUPER,REPLICATION CLIENT privilege(s) for this operation
]

在这之前已经配置好了mysql和canal的两个配置文件：

这个问题解决不了，就在网上查看了好多篇文档，都说时canal中用户名和密码在MySQL中没有配置好，创建的用户名和密码都是canal

*************************** 5. row ***************************
host: %
user: canal
select_priv: Y
insert_priv: Y
update_priv: Y
delete_priv: Y
5 rows in set (0.00 sec)

还把MySQL的配置文件也给改了一下，打开了mysql的日志

[mysqld]
skip-grant-tables
[mysqld]
log-bin=mysql-bin #开启日志监控
binlog-format=ROW #监控模式为ROW
server_id=1 #配置mysql replaction需要定义，不能和canal的slaveId重复

切记：配置完成后重启mysql——>docker restart mysql

查看canal的配置：

canal.properties

[root@f3ff70f9ae8d canal-server]# vi conf/canal.properties 

#################################################
#########               common argument         #############
#################################################
#canal.manager.jdbc.url=jdbc:mysql://127.0.0.1:3306/canal_manager?useUnicode=true&characterEncoding=UTF-8
#canal.manager.jdbc.username=root
#canal.manager.jdbc.password=121212
canal.id = 1001
canal.ip =
canal.port = 11111
canal.metrics.pull.port = 11112
canal.zkServers =
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, RocketMQ
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)
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
canal.instance.filter.query.dml = false
canal.instance.filter.query.ddl = false
canal.instance.filter.table.error = false
canal.instance.filter.rows = false
canal.instance.filter.transaction.entry = 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

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

#################################################
#########               destinations            #############
#################################################
#################################################
#########               common argument         #############
#################################################
#canal.manager.jdbc.url=jdbc:mysql://127.0.0.1:3306/canal_manager?useUnicode=true&characterEncoding=UTF-8
#canal.manager.jdbc.username=root
#canal.manager.jdbc.password=121212
canal.id = 1001
canal.ip =
canal.port = 11111
canal.metrics.pull.port = 11112
canal.zkServers =
# flush data to zk
canal.zookeeper.flush.period = 1000
canal.withoutNetty = false
# tcp, kafka, RocketMQ
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)
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
canal.instance.filter.query.dml = false
canal.instance.filter.query.ddl = false
canal.instance.filter.table.error = false
canal.instance.filter.rows = false
canal.instance.filter.transaction.entry = 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

instance.properties 文件的配置

canal.instance.dbUsername=root
canal.instance.dbPassword=123456
上边的用户名密码刚开始是canal最后改成自己最初创建的用户名和密码了。

[root@f3ff70f9ae8d canal-server]# vi conf/example/instance.properties 

#################################################
## mysql serverId , v1.0.26+ will autoGen
 canal.instance.mysql.slaveId=0

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

# position info
canal.instance.master.address=192.168.0.105:3306
canal.instance.master.journal.name=
canal.instance.master.position=
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://192.168.0.105:3306/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=root
canal.instance.dbPassword=123456
canal.instance.connectionCharset = UTF-8
# enable druid Decrypt database password
canal.instance.enableDruid=false
#canal.instance.pwdPublicKey=MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBALK4BUxdDltRRE5/zXpVEVPUgunvscYFtEip3pmLlhrWpacX7y7GCMo2/JM6LeHmiiNdH1FWgGCpUfircSwlWKUCAwEAAQ==

# table regex .*表示所有数据库\\..*所有表
# 所有数据库的所有表都进行监听
canal.instance.filter.regex=.*\\..*
# table black regex
canal.instance.filter.black.regex=

# mq config 外部监听，需要指定实例的名字
canal.mq.topic=example
# dynamic topic route by schema or table regex
#canal.mq.dynamicTopic=mytest1.user,mytest2\\..*,.*\\..*
canal.mq.partition=0
# hash partition config
#canal.mq.partitionsNum=3
#canal.mq.partitionHash=test.table:id^name,.*\\..*
#################################################

最后重新启动canal

先停止: bin/stop.sh
在启动： bin/startup.sh
查看日志： bin/startup.sh

2020-02-15 10:58:34.901 [destination = example , address = /192.168.0.105:3306 , 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
2020-02-15 10:58:34.901 [destination = example , address = /192.168.0.105:3306 , EventParser] WARN  c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - prepare to find start position by switch ::1567052687000
2020-02-15 10:58:34.903 [destination = example , address = /192.168.0.105:3306 , EventParser] ERROR c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - dump address /192.168.0.105:3306 has an error, retrying. caused by

发现好像又报错了：
这是因为刚才断了一下网。

现在在数据库中添加一条记录查看控制台打印：

顺便看一眼代码：

/**
 * @Author MH
 * @Date 2020/2/14 21:25
 * 实现MySql数据监听
 */
@CanalEventListener
public class CanalDataEventListener {
    /**
     * @param:发生变更的一行数据 只有增加后对的数据
     *                                     rowData.getAfterColumnsList(); 增加后对的数据
     * @InsertListenPoint 增加数据监听
     * CanalEntry.EventType:当前操作的类型；例如：增加数据
     */
    @InsertListenPoint
    public void onEventInsert(CanalEntry.EventType eventType, CanalEntry.RowData rowData) {
        System.out.println("-------------canal---------------");
        List afterColumnsList = rowData.getAfterColumnsList();
        afterColumnsList.forEach(System.out::println);
    }
}