Docker实现Canal MySQL增量日志订阅&消费环境搭建

其他 2019-05-07 12:21:00 阅读次数: 0
版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/boonya/article/details/89406067

https://github.com/alibaba/canal 

Canal：阿里巴巴mysql数据库binlog的增量订阅&消费组件 。阿里云DRDS( https://www.aliyun.com/product/drds )、阿里巴巴TDDL 二级索引、小表复制powerd by canal. Aliyun Data Lake Analytics https://www.aliyun.com/product/datalakeanalytics

目录

开启Canal之旅

Docker快速开始

MySQL要求

运行Canal容器

错误运行方式

正确运行方式一

正确运行方式二

开启服务器端口访问

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Java测试客户端

错误运行容器测试结果

正常运行容器测试结果

数据库异常问题

开启Canal之旅

Docker快速开始

https://github.com/alibaba/canal/wiki/Docker-QuickStart

MySQL要求

https://github.com/alibaba/canal/wiki/AdminGuide

a. 当前的canal开源版本支持5.7及以下的版本(阿里内部mysql 5.7.13, 5.6.10, mysql 5.5.18和5.1.40/48)，ps. mysql4.x版本没有经过严格测试，理论上是可以兼容

   b. canal的原理是基于mysql binlog技术，所以这里一定需要开启mysql的binlog写入功能，并且配置binlog模式为row.

[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

    数据库重启后, 简单测试 my.cnf 配置是否生效:

mysql> show variables like 'binlog_format';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| binlog_format | ROW   |
+---------------+-------+

mysql> show variables like 'log_bin';
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| log_bin       | ON    |
+---------------+-------+

   

 如果 my.cnf 设置不起作用,请参考:
    https://stackoverflow.com/questions/38288646/changes-to-my-cnf-dont-take-effect-ubuntu-16-04-mysql-5-6
    https://stackoverflow.com/questions/52736162/set-binlog-for-mysql-5-6-ubuntu16-4

   c.  canal的原理是模拟自己为mysql slave，所以这里一定需要做为mysql slave的相关权限 

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

     针对已有的账户可通过grants查询权限：

show grants for 'canal'

运行Canal容器

注意：需要明确端口号和配置文件路径。

错误运行方式

错误运行是什么意思？即缺少一些基本的配置参数，虽然有修改跟我们理解上还是有一定区别

#运行canal容器

docker run -p 11111:11111 --name canal -d canal/canal-server

#带配置映射
docker run -p 11111:11111 --name canal -v /usr/local/canal/canal.properties:/home/admin/canal-server/conf/canal.properties -d canal/canal-server

 canal.properties配置：需要注意id和instance配置（真实情况Docker支持单个instance不需要修改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
#id不能重复(默认id=1)
canal.id = 10002
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		############# 
#################################################
canal.destinations = example
# 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 = spring
canal.instance.global.lazy = false
#canal.instance.global.manager.address = 127.0.0.1:1099
#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
# use transaction for kafka flatMessage batch produce
canal.mq.transaction = false
#canal.mq.properties. =

正确运行方式一

#带配置映射
docker run -p 11111:11111 --name canal -v  /usr/local/canal/example/instance.properties:/home/admin/canal-server/conf/example/instance.properties  -d canal/canal-server

instance.properties配置，只需要设置MySQL容器实例的地址： canal.instance.master.address=172.17.0.4:3306 

#################################################
## 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=172.17.0.4:3306
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
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=

# mq config
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,.*\\..*
#################################################

正确运行方式二

参考文章地址：https://my.oschina.net/amhuman/blog/1941540

采用如下方式可以直接运行canal实现binlog的增量消费：

docker run --name canal -e canal.instance.master.address=192.168.1.111:3365 -e canal.instance.dbUsername=canal -e canal.instance.dbPassword=canal -p 11111:11111 -d canal/canal-server

开启服务器端口访问
 

#开启端口访问
firewall-cmd --zone=public --add-port=11111/tcp --permanent

#重载防火墙
firewall-cmd --reload

Java测试客户端

请使用canal提供的示例进行测试，https://github.com/alibaba/canal/wiki/ClientExample

package com.alibaba.otter;

import java.net.InetSocketAddress;
import java.util.List;
import com.alibaba.otter.canal.client.CanalConnector;
import com.alibaba.otter.canal.client.CanalConnectors;
import com.alibaba.otter.canal.common.utils.AddressUtils;
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.protocol.Message;
/**
 * 
 * @author PJL
 *
 * @note     功能描述:TODO增删改查--事件捕捉
 * @package  com.alibaba.otter
 * @filename SimpleCanalClientExample.java
 * @date     2019年4月16日 上午9:16:24
 */
public class SimpleCanalClientExample {
	
	public static void main(String args[]) {
	    // 创建链接
	    CanalConnector connector = CanalConnectors.newSingleConnector(new InetSocketAddress("192.168.1.111"/*AddressUtils.getHostIp()*/,
	                                                                                        11111), "example", "canal", "canal");
	    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();
	        // 可以获取到数据库实例名称、日志文件、当前操作的表以及执行的增删改查的操作
	        String logFileName= entry.getHeader().getLogfileName();
	        long logFileOffset= entry.getHeader().getLogfileOffset();
	        String dbName=entry.getHeader().getSchemaName();
	        String tableName=entry.getHeader().getTableName();
	        System.out.println(String.format("=======&gt; binlog[%s:%s] , name[%s,%s] , eventType : %s",
	                                         logFileName, logFileOffset,
	                                         dbName, tableName,
	                                         eventType));

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

}

错误运行容器测试结果

此处测试捕获数据库插入删除事件，不过未捕获到，有待进一步研究！超时关闭机制：

empty count : 1
empty count : 2
empty count : 3
empty count : 4
empty count : 5
empty count : 6
empty count : 7
empty count : 8
empty count : 9
empty count : 10
empty count : 11
empty count : 12
empty count : 13
empty count : 14
empty count : 15
empty count : 16
empty count : 17
empty count : 18
empty count : 19
empty count : 20
empty count : 21
empty count : 22
empty count : 23
empty count : 24
empty count : 25
empty count : 26
empty count : 27
empty count : 28
empty count : 29
empty count : 30
empty count : 31
empty count : 32
empty count : 33
empty count : 34
empty count : 35
empty count : 36
empty count : 37
empty count : 38
empty count : 39
empty count : 40
empty count : 41
empty count : 42
empty count : 43
empty count : 44
empty count : 45
empty count : 46
empty count : 47
empty count : 48
empty count : 49
empty count : 50
empty count : 51
empty count : 52
empty count : 53
empty count : 54
empty count : 55
empty count : 56
empty count : 57
empty count : 58
empty count : 59
empty count : 60
empty count : 61
empty count : 62
empty count : 63
empty count : 64
empty count : 65
empty count : 66
empty count : 67
empty count : 68
empty count : 69
empty count : 70
empty count : 71
empty count : 72
empty count : 73
empty count : 74
empty count : 75
empty count : 76
empty count : 77
empty count : 78
empty count : 79
empty count : 80
empty count : 81
empty count : 82
empty count : 83
empty count : 84
empty count : 85
empty count : 86
empty count : 87
empty count : 88
empty count : 89
empty count : 90
empty count : 91
empty count : 92
empty count : 93
empty count : 94
empty count : 95
empty count : 96
empty count : 97
empty count : 98
empty count : 99
empty count : 100
empty count : 101
empty count : 102
empty count : 103
empty count : 104
empty count : 105
empty count : 106
empty count : 107
empty count : 108
empty count : 109
empty count : 110
empty count : 111
empty count : 112
empty count : 113
empty count : 114
empty count : 115
empty count : 116
empty count : 117
empty count : 118
empty count : 119
empty count : 120
empty too many times, exit

正常运行容器测试结果

=======&gt; binlog[mysql-bin.000004:3504] , name[service_db,sys_user] , eventType : INSERT
id : 52    update=true
name : boonya    update=true
age : 28    update=true
empty count : 1
empty count : 2
empty count : 3
empty count : 4
empty count : 5
empty count : 6
empty count : 7
empty count : 8
empty count : 9
empty count : 10
empty count : 11
empty count : 12
empty count : 13
empty count : 14
empty count : 15
=======&gt; binlog[mysql-bin.000004:3790] , name[service_db,sys_user] , eventType : INSERT
id : 53    update=true
name : boonya    update=true
age : 28    update=true
empty count : 1
empty count : 2
empty count : 3
empty count : 4
empty count : 5
empty count : 6
empty count : 7
empty count : 8
empty count : 9
empty count : 10
empty count : 11
empty count : 12
empty count : 13
empty count : 14
empty count : 15
empty count : 16
empty count : 17
empty count : 18
empty count : 19
empty count : 20
empty count : 21
empty count : 22
empty count : 23
empty count : 24
=======&gt; binlog[mysql-bin.000004:4076] , name[service_db,sys_user] , eventType : INSERT
id : 54    update=true
name : boonya    update=true
age : 28    update=true
=======&gt; binlog[mysql-bin.000004:4362] , name[service_db,sys_user] , eventType : INSERT
id : 55    update=true
name : boonya    update=true
age : 28    update=true
empty count : 1
=======&gt; binlog[mysql-bin.000004:4648] , name[service_db,sys_user] , eventType : INSERT
id : 56    update=true
name : boonya    update=true
age : 28    update=true
=======&gt; binlog[mysql-bin.000004:4934] , name[service_db,sys_user] , eventType : INSERT
id : 57    update=true
name : boonya    update=true
age : 28    update=true
empty count : 1
empty count : 2
empty count : 3
empty count : 4
empty count : 5
empty count : 6
empty count : 7
empty count : 8
empty count : 9
empty count : 10
empty count : 11
empty count : 12
empty count : 13
empty count : 14
empty count : 15
empty count : 16
empty count : 17
empty count : 18
empty count : 19
empty count : 20
empty count : 21
empty count : 22
empty count : 23
empty count : 24
empty count : 25
empty count : 26
empty count : 27
empty count : 28
empty count : 29
empty count : 30
empty count : 31
empty count : 32
empty count : 33
empty count : 34
empty count : 35
=======&gt; binlog[mysql-bin.000004:5220] , name[service_db,sys_user] , eventType : INSERT
id : 58    update=true
name : boonya    update=true
age : 28    update=true
=======&gt; binlog[mysql-bin.000004:5506] , name[service_db,sys_user] , eventType : INSERT
id : 59    update=true
name : boonya    update=true
age : 28    update=true
empty count : 1
=======&gt; binlog[mysql-bin.000004:5792] , name[service_db,sys_user] , eventType : INSERT
id : 60    update=true
name : boonya    update=true
age : 28    update=true
=======&gt; binlog[mysql-bin.000004:6078] , name[service_db,sys_user] , eventType : INSERT
id : 61    update=true
name : boonya    update=true
age : 28    update=true
empty count : 1
empty count : 2
empty count : 3
empty count : 4
empty count : 5
empty count : 6
empty count : 7
empty count : 8
empty count : 9
empty count : 10
empty count : 11
empty count : 12
empty count : 13
empty count : 14
empty count : 15
empty count : 16
empty count : 17
empty count : 18
empty count : 19
empty count : 20

数据库异常问题

mysql5.7报错：
[Err] 1055 - Expression #1 of ORDER BY clause is not in GROUP BY clause and contains nonaggregated column 'information_schema.PROFILING.SEQ' which is not functionally dependent on columns in GROUP BY clause; this is incompatible with sql_mode=only_full_group_by

解决方法：

show variables like "sql_mode";

set sql_mode='';
set sql_mode='NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES';

Canal只是一个基于增量日志的通道，如果需要数据库实现备份还需要在Canal基础上引入Otter，Otter定义了Channel、Pipleline、Node(机器节点)、数据源、目标数据源、数据库表、主备配置等等帮助实现数据库增量备份机制。

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