MySql 数据同步（同步关系型、非关系型(hadoop)）--canal

参考博客：http://blog.csdn.net/hackerwin7/article/details/37923607

注意：本次只是实时获取到了mysql的同步日志你可以封装成json格式扔到消息队列消费这些数据对hadoop进行更新。

我用的消息队列是kafka 执行的是HBase

首先先说canal的配置：
https://github.com/alibaba/canal/releases下载最新版本的canal.deployer,解压
下载下来四个目录 bin conf lib logs

mysql的改动
先修改 mysql的my.cnf
（1）开启mysql的binlog功能，并配置binlog模式为row。
在my.cnf 加入如下：

[mysqld]  
log-bin=mysql-bin #添加这一行就ok  
binlog-format=ROW #选择row模式  
server_id=1 #配置mysql replaction需要定义，不能和canal的slaveId重复

mysql创建用户授权

CREATE USER canal IDENTIFIED BY 'canal';    
GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'canal'@'%';  
-- GRANT ALL PRIVILEGES ON *.* TO 'canal'@'%' ;  
FLUSH PRIVILEGES;

canal的改动
修改两处 1.conf下面的canal.properties

canal.id= 1
canal.ip=
canal.port= 11111
canal.zkServers=
# flush data to zk
canal.zookeeper.flush.period = 1000
# 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 = 32768
## 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

2.修改 conf/example下面的instance.properties

#################################################
## mysql serverId
canal.instance.mysql.slaveId=1234   
# position info
canal.instance.master.address=127.0.0.1:3306  //mysql数据库位置
canal.instance.master.journal.name=
canal.instance.master.position=
canal.instance.master.timestamp=


# 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.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 = 
# username/password    
/*mysql创建的用户密码  默认库 连接字符串*/
canal.instance.dbUsername=canal
canal.instance.dbPassword=canal 
canal.instance.defaultDatabaseName=e_mall
canal.instance.connectionCharset=UTF-8
# table regex
canal.instance.filter.regex=.*\\..*
# table black regex
canal.instance.filter.black.regex=

然后启动canal
查看启动日志：
vim canal/log/canal/canal.log
如果出现：

2014-07-18 10:21:08.525 [main] INFO  com.alibaba.otter.canal.deployer.CanalLauncher - ## start the canal server.  
2014-07-18 10:21:08.609 [main] INFO  com.alibaba.otter.canal.deployer.CanalController - ## start the canal server[10.12.109.201:11111]  
2014-07-18 10:21:09.037 [main] INFO  com.alibaba.otter.canal.deployer.CanalLauncher - ## the canal server is running now ......

说明启动成功

下面是测试方法：
运行下面的代码监听 mysql 更新一条数据如果有数据过来说明成功

maven:

<dependency>  
    <groupId>com.alibaba.otter</groupId>  
    <artifactId>canal.client</artifactId>  
    <version>1.0.12</version>  
</dependency>

package log.binary;

import java.net.InetSocketAddress;
import java.util.List;

import com.alibaba.otter.canal.client.CanalConnector;
import com.alibaba.otter.canal.common.utils.AddressUtils;
import com.alibaba.otter.canal.protocol.Message;
import com.alibaba.otter.canal.protocol.CanalEntry.Column;
import com.alibaba.otter.canal.protocol.CanalEntry.Entry;
import com.alibaba.otter.canal.protocol.CanalEntry.EntryType;
import com.alibaba.otter.canal.protocol.CanalEntry.EventType;
import com.alibaba.otter.canal.protocol.CanalEntry.RowChange;
import com.alibaba.otter.canal.protocol.CanalEntry.RowData;
import com.alibaba.otter.canal.client.*;
import org.jetbrains.annotations.NotNull;

public class ClientSample {

    public static void main(String args[]) {
        // 创建链接
        CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("192.168.*.*",
                11111), "example", "", "");
        int batchSize = 1000;
        int emptyCount = 0;
        try {
            connector.connect();
            connector.subscribe(".*\\..*");
            connector.rollback();
            int totalEmtryCount = 1200;
            while (emptyCount < totalEmtryCount) {
                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) {
                        e.printStackTrace();
                    }
                } 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(@NotNull 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(@NotNull List<Column> columns) {
        for (Column column : columns) {
            System.out.println(column.getName() + " : " + column.getValue() + "    update=" + column.getUpdated());
        }
    }
}

MySql 数据同步（同步关系型、非关系型(hadoop)）--canal

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