• canal简单使用

    安装java环境

    安装Zookeeper

    1. zookeeper-3.4.11.tar.gz
    2. 解压tar -xzvf zookeeper-3.4.11.tar.gz
    3. 放到opt目录
    4. 进入zookeeper目录
    5. 创建数据存储目录midkr myZkData
    6. 进入conf目录，mv zoo_sample.cfg zoo.cfg
    7. vi zoo.cfg修改数据存储目录为自定义目录
    8. 启动zkServer.sh start
    9. 测试zkCli.sh

    安装canal.admin-1.1.4

    1. 下载canal.admin-1.1.4.tar.gz:https://github.com/alibaba/canal/releases

    2. 下载完上传服务器opt目录

    3. 解压,需要制定目录:tar -xzvf canal.admin-1.1.4.tar.gz -C canal.admin-1.1.4

    4. 创建数据库,在自己数据库执行sql脚本/opt/canal.admin-1.1.4/conf/canal_manager.sql

      新建集群遇到了 Error[Column ‘modified_time’ cannot be null] 这个报错

      解决办法:

      ALTER TABLE canal_manager.canal_node_server
MODIFY modified_time timestamp DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP;
ALTER TABLE canal_manager.canal_adapter_config
MODIFY modified_time timestamp DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP;
ALTER TABLE canal_manager.canal_cluster
MODIFY modified_time timestamp DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP;
ALTER TABLE canal_manager.canal_config
MODIFY modified_time timestamp DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP;
ALTER TABLE canal_manager.canal_instance_config
MODIFY modified_time timestamp DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP;
ALTER TABLE canal_manager.canal_user
MODIFY creation_date timestamp DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP;

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    5. 修改配置/opt/canal.admin-1.1.4/conf/application.yml

      mysql驱动使用的是mysql8驱动

      需要替换/opt/canal.admin-1.1.4/lib里面mysql驱动，把mysql-connector-java-5.1.40.jar改成mysql-connector-java-8.0.18.jar

      server:
  port: 8089
spring:
  jackson:
    date-format: yyyy-MM-dd HH:mm:ss
    time-zone: GMT+8

spring.datasource:
  address: 127.0.0.1:3306
  database: canal_manager
  username: root
  password: 123456
  driver-class-name: com.mysql.cj.jdbc.Driver
  url: jdbc:mysql://${spring.datasource.address}/${spring.datasource.database}?useUnicode=true&characterEncoding=UTF-8&useSSL=false
  hikari:
    maximum-pool-size: 30
    minimum-idle: 1
canal:
  adminUser: admin
  adminPasswd: admin

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    6. 启动startup.sh,访问:http://127.0.0.1:8089/ admin/123456

    安装canal.deployer-1.1.4

    1. 下载canal.deployer-1.1.4.tar.gz:https://github.com/alibaba/canal/releases

    2. 下载完上传服务器opt目录

    3. 解压,需要制定目录:tar -xzvf canal.deployer-1.1.4.tar.gz -C canal.deployer-1.1.4

    4. 修改配置/opt/canal.admin-1.1.4/conf

      使用canal_local.properties替换canal.properties

      # register ip
canal.register.ip =

# 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 = test

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      cluster配置成了test，后面再ui上配一个集群叫test

    5. mysql驱动使用的是mysql8驱动

    6. 启动startup.sh

    7. 被监控的数据库开启binlog

    8. 创建cannal用户,在ui中创建instance时需要用到

      grant SELECT, REPLICATION SLAVE, REPLICATION CLIENT on *.* to 'canal'@'%' identified by 'Canal@123456';

      会报错

      com.alibaba.otter.canal.common.CanalException: load manager config failed.
Caused by: com.alibaba.otter.canal.common.CanalException: requestGet for canal config error: canal.properties config is empty

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      需要现在ui中创建集群，在集群中配置主文件

      需要注释,并配置canal.zkServers

      # canal.user = canal
# canal.passwd = E3619321C1A937C46A0D8BD1DAC39F93B27D4458

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      #################################################
######### 		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

canal.zkServers = 127.0.0.1:2181
# 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		#############
#################################################
canal.destinations =
# 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

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 = manager
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 		     #############
##################################################
canal.mq.servers = 127.0.0.1:6667
canal.mq.retries = 0
canal.mq.batchSize = 16384
canal.mq.maxRequestSize = 1048576
canal.mq.lingerMs = 100
canal.mq.bufferMemory = 33554432
canal.mq.canalBatchSize = 50
canal.mq.canalGetTimeout = 100
canal.mq.flatMessage = true
canal.mq.compressionType = none
canal.mq.acks = all
#canal.mq.properties. =
canal.mq.producerGroup = test
# Set this value to "cloud", if you want open message trace feature in aliyun.
canal.mq.accessChannel = local
# aliyun mq namespace
#canal.mq.namespace =

##################################################
#########     Kafka Kerberos Info    #############
##################################################
canal.mq.kafka.kerberos.enable = false
canal.mq.kafka.kerberos.krb5FilePath = "../conf/kerberos/krb5.conf"
canal.mq.kafka.kerberos.jaasFilePath = "../conf/kerberos/jaas.conf"


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    在这里插入图片描述
    在这里插入图片描述
    在这里插入图片描述
    在这里插入图片描述

    #################################################
## 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=127.0.0.1:3306
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://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@123456
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=.*\\..*
# table black regex
canal.instance.filter.black.regex=
# 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=
# 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,.*\\..*
#################################################


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    集群搭建

    1. 创建zookeeper集群
    2. 创建多个canal.deployer
    3. 在ui中配置

    客户端代码示例

    <dependency>
    <groupId>com.alibaba.ottergroupId>
    <artifactId>canal.clientartifactId>
    <version>1.1.4version>
dependency>

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    public class SimpleCanalClientExample {


public static void main(String args[]) {
    // 创建链接
    CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress(AddressUtils.getHostIp(),
                                                                                        11111), "example", "", "");
    int batchSize = 1000;
    int emptyCount = 0;
    try {
        connector.connect();
        connector.subscribe(".*\\..*");
        connector.rollback();
        int totalEmptyCount = 120;
        while (emptyCount < totalEmptyCount) {
            Message message = connector.getWithoutAck(batchSize); // 获取指定数量的数据
            long batchId = message.getId();
            int size = message.getEntries().size();
            if (batchId == -1 || size == 0) {
                emptyCount++;
                System.out.println("empty count : " + emptyCount);
                try {
                    Thread.sleep(1000);
                } catch (InterruptedException e) {
                }
            } else {
                emptyCount = 0;
                // System.out.printf("message[batchId=%s,size=%s] \n", batchId, size);
                printEntry(message.getEntries());
            }

            connector.ack(batchId); // 提交确认
            // connector.rollback(batchId); // 处理失败, 回滚数据
        }

        System.out.println("empty too many times, exit");
    } finally {
        connector.disconnect();
    }
}

private static void printEntry(List<Entry> entrys) {
    for (Entry entry : entrys) {
        if (entry.getEntryType() == EntryType.TRANSACTIONBEGIN || entry.getEntryType() == EntryType.TRANSACTIONEND) {
            continue;
        }

        RowChange rowChage = null;
        try {
            rowChage = RowChange.parseFrom(entry.getStoreValue());
        } catch (Exception e) {
            throw new RuntimeException("ERROR ## parser of eromanga-event has an error , data:" + entry.toString(),
                                       e);
        }

        EventType eventType = rowChage.getEventType();
        System.out.println(String.format("================> binlog[%s:%s] , name[%s,%s] , eventType : %s",
                                         entry.getHeader().getLogfileName(), entry.getHeader().getLogfileOffset(),
                                         entry.getHeader().getSchemaName(), entry.getHeader().getTableName(),
                                         eventType));

        for (RowData rowData : rowChage.getRowDatasList()) {
            if (eventType == EventType.DELETE) {
                printColumn(rowData.getBeforeColumnsList());
            } else if (eventType == EventType.INSERT) {
                printColumn(rowData.getAfterColumnsList());
            } else {
                System.out.println("-------> before");
                printColumn(rowData.getBeforeColumnsList());
                System.out.println("-------> after");
                printColumn(rowData.getAfterColumnsList());
            }
        }
    }
}

private static void printColumn(List<Column> columns) {
    for (Column column : columns) {
        System.out.println(column.getName() + " : " + column.getValue() + "    update=" + column.getUpdated());
    }
}

}

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  • 原文地址：https://blog.csdn.net/u011244410/article/details/126255395