Docker实现Canal MySQL增量日志订阅&消费环境搭建
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
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-servercanal.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-serverinstance.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 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("=======> 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("-------> before");
printColumn(rowData.getBeforeColumnsList());
System.out.println("-------> after");
printColumn(rowData.getAfterColumnsList());
}
}
}
}
private static void printColumn(List 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
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empty count : 120
empty too many times, exit
正常运行容器测试结果
=======> 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
=======> 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
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empty count : 15
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empty count : 23
empty count : 24
=======> binlog[mysql-bin.000004:4076] , name[service_db,sys_user] , eventType : INSERT
id : 54 update=true
name : boonya update=true
age : 28 update=true
=======> 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
=======> binlog[mysql-bin.000004:4648] , name[service_db,sys_user] , eventType : INSERT
id : 56 update=true
name : boonya update=true
age : 28 update=true
=======> 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
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=======> binlog[mysql-bin.000004:5220] , name[service_db,sys_user] , eventType : INSERT
id : 58 update=true
name : boonya update=true
age : 28 update=true
=======> 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
=======> binlog[mysql-bin.000004:5792] , name[service_db,sys_user] , eventType : INSERT
id : 60 update=true
name : boonya update=true
age : 28 update=true
=======> 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
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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。