使用canal获取mysql的binlog传输给kafka，并交由logstash获取实验步骤

1. 实验环境

CPU:4
内存：8G
ip:192.168.0.187

开启iptables防火墙
关闭selinux
java >=1.5
使用yum方式安装的java,提前配置好JAVA_HOME环境变量

vim /etc/profile.d/java.sh
	#!/bin/bash

	export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk # 路径根据实际情况而定
	export PATH=$PATH:$JAVA_HOME/bin
source /etc/profile.d/java.sh

2. MySQL信息

mysql账号
root
MySQL密码
liykpntuu9?C

操作

vim /etc/my.cnf
[mysqld]
log-bin=mysql-bin # 开启 binlog
binlog-format=ROW # 选择 ROW 模式
server_id=1 # 配置 MySQL replaction 需要定义，不要和 canal 的 slaveId 重复

service mysqld restart

登陆数据库后操作

CREATE USER canal IDENTIFIED BY 'canal!%123AD';  
GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'canal'@'%';
FLUSH PRIVILEGES;

# 查询MySQL数据库中某一个用户授予的权限
mysql> show grants for canal;
+---------------------------------------------------------------------------+
| Grants for canal@%                                                        |
+---------------------------------------------------------------------------+
| GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'canal'@'%' |
+---------------------------------------------------------------------------+

3. canal操作

# 下载
wget https://github.com/alibaba/canal/releases/download/canal-1.1.4/canal.deployer-1.1.4.tar.gz
mkdir -p /usr/local/canal
tar -zxv -f canal.deployer-1.1.4.tar.gz -C /usr/local/canal

# 修改连接数据库的配置文件
cd /usr/local/canal
vim conf/example/instance.properties
	## mysql serverId
	canal.instance.mysql.slaveId = 123
	#position info，需要改成自己的数据库信息
	canal.instance.master.address = 127.0.0.1:3306 
	canal.instance.master.journal.name = 
	canal.instance.master.position = 
	canal.instance.master.timestamp = 
	#canal.instance.standby.address = 
	#canal.instance.standby.journal.name =
	#canal.instance.standby.position = 
	#canal.instance.standby.timestamp = 
	#username/password，需要改成自己的数据库信息
	canal.instance.dbUsername = canal  
	canal.instance.dbPassword = canal!%123AD
	canal.instance.defaultDatabaseName =
	canal.instance.connectionCharset = UTF-8
	#table regex
	canal.instance.filter.regex = .*\\..*

# 启动
bash bin/startup.sh

# 查看 server 日志
tail -n 30 logs/canal/canal.log
	2019-09-20 09:48:46.987 [main] INFO  com.alibaba.otter.canal.deployer.CanalLauncher - ## set default uncaught exception handler
	2019-09-20 09:48:47.019 [main] INFO  com.alibaba.otter.canal.deployer.CanalLauncher - ## load canal configurations
	2019-09-20 09:48:47.028 [main] INFO  com.alibaba.otter.canal.deployer.CanalStarter - ## start the canal server.
	2019-09-20 09:48:47.059 [main] INFO  com.alibaba.otter.canal.deployer.CanalController - ## start the canal server[192.168.0.187(192.168.0.187):11111]
	2019-09-20 09:48:48.228 [main] INFO  com.alibaba.otter.canal.deployer.CanalStarter - ## the canal server is running now ......

# 查看 instance 的日志
	2019-09-20 09:48:47.395 [main] INFO  c.a.o.c.i.spring.support.PropertyPlaceholderConfigurer - Loading properties file from class path resource [canal.properties]
	2019-09-20 09:48:47.399 [main] INFO  c.a.o.c.i.spring.support.PropertyPlaceholderConfigurer - Loading properties file from class path resource [example/instance.properties]
	2019-09-20 09:48:47.580 [main] WARN  o.s.beans.GenericTypeAwarePropertyDescriptor - Invalid JavaBean property 'connectionCharset' being accessed! Ambiguous write methods found next to actually used [public void com.alibaba.otter.canal.parse.inbound.mysql.AbstractMysqlEventParser.setConnectionCharset(java.lang.String)]: [public void com.alibaba.otter.canal.parse.inbound.mysql.AbstractMysqlEventParser.setConnectionCharset(java.nio.charset.Charset)]
	2019-09-20 09:48:47.626 [main] INFO  c.a.o.c.i.spring.support.PropertyPlaceholderConfigurer - Loading properties file from class path resource [canal.properties]
	2019-09-20 09:48:47.626 [main] INFO  c.a.o.c.i.spring.support.PropertyPlaceholderConfigurer - Loading properties file from class path resource [example/instance.properties]
	2019-09-20 09:48:48.140 [main] INFO  c.a.otter.canal.instance.spring.CanalInstanceWithSpring - start CannalInstance for 1-example 
	2019-09-20 09:48:48.147 [main] WARN  c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table filter : ^.*..*$
	2019-09-20 09:48:48.147 [main] WARN  c.a.o.canal.parse.inbound.mysql.dbsync.LogEventConvert - --> init table black filter : 
	2019-09-20 09:48:48.165 [main] INFO  c.a.otter.canal.instance.core.AbstractCanalInstance - start successful....
	2019-09-20 09:48:48.288 [destination = example , address = /127.0.0.1:3306 , 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
	2019-09-20 09:48:48.288 [destination = example , address = /127.0.0.1:3306 , EventParser] WARN  c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - prepare to find start position just show master status
	2019-09-20 09:48:49.288 [destination = example , address = /127.0.0.1:3306 , EventParser] WARN  c.a.o.c.p.inbound.mysql.rds.RdsBinlogEventParserProxy - ---> find start position successfully, EntryPosition[included=false,journalName=mysql-bin.000004,position=4,serverId=1,gtid=<null>,timestamp=1568943354000] cost : 989ms , the next step is binlog dump

# 关闭
bash bin/stop.sh

# 端口使用情况
ss -tlnp
State       Recv-Q Send-Q            Local Address:Port      Peer Address:Port              
LISTEN      0      50                   *:11110                  *:*                   users:(("java",pid=2078,fd=109))
LISTEN      0      50                   *:11111                  *:*                   users:(("java",pid=2078,fd=105))
LISTEN      0      3                    *:11112                  *:*                   users:(("java",pid=2078,fd=87))

# 端口号说明
# admin端口：11110
# tcp端口：11111
# metric端口：11112

# 端口号所在配置文件
# canal/conf/canal.properties
# canal.port = 11111
# canal.metrics.pull.port = 11112

# canal/conf/canal_local.properties
# canal.admin.port = 11110

组建HA集群
地址：https://github.com/alibaba/canal/wiki/AdminGuide

# 重新获得一份解压缩的目录，比如canal_2
# 修改原有的canal数据
vim canal.properties
	canal.zkServers=localhost:2181,localhost:2182,localhost:2183,
	canal.instance.global.spring.xml = classpath:spring/default-instance.xml
# 然后把这个文件复制到canal_2对应目录下，在canal_2对应目录下再次修改
vim canal.properties
	canal.port = 11114
	canal.metrics.pull.port = 11115
vim canal_local.properties
	canal.admin.port = 11113

# 把canal example目录下的instance.properties复制到canal_2对应目录下，并在canal_2对应目录下再次修改
vim instance.properties
	canal.instance.mysql.slaveId = 124 ##另外一台机器改成1235，保证slaveId不重复即可

# 注意： 两台机器上的instance目录的名字需要保证完全一致，HA模式是依赖于instance name进行管理，同时必须都选择default-instance.xml配置

# 然后分别启动

# 总结一下：
# 1. 俩配置文件中使用的三个端口号需要不一样
# 2. 使用default-instance.xml文件
# 3. MySQL的slaveId不一样
# 4. 两台机器上的instance目录的名字需要保证完全一致

# 启动后，可以查看logs/example/example.log，只会看到一台机器上出现了启动成功的日志。
# 或者通过查看一下zookeeper中的节点信息，可以知道当前工作的节点为localhost:11111
# get /otter/canal/destinations/example/running

# canal-admin 使用WEB UI界面查看管理canal

# canal-admin的限定依赖：
#    MySQL，用于存储配置和节点等相关数据
#    canal版本，要求>=1.1.4 (需要依赖canal-server提供面向admin的动态运维管理接口)
wget https://github.com/alibaba/canal/releases/download/canal-1.1.4/canal.admin-1.1.4.tar.gz
tar -zxv -f canal-1.1.4/canal.admin-1.1.4.tar.gz -C /usr/local/src/canal_admin
vim conf/application.yml
	server:
	  port: 8089 # 端口号,防火墙放行该端口号
	spring:
	  jackson:
	    date-format: yyyy-MM-dd HH:mm:ss
	    time-zone: GMT+8

	spring.datasource:
	  address: 127.0.0.1:3306 # 数据库地址和端口
	  database: canal_manager # 数据库名
	  username: canal_admin   # 数据库账号 ，注意跟一开始创建的canal账号区分开，需要修改一下
	  password: ABC123,.abc@#11  # 数据库密码
	  driver-class-name: com.mysql.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   # 平台账号
	  adminPasswd: admin # 平台密码

# 注意，数据库名，账号和密码需要提前创建好
# 若修改默认的数据库名，则示例sql文件中也需要修改
# 这里只修改默认的数据库账号和密码，其余保持默认

# 初始化元数据库
# 初始化SQL脚本里会默认创建canal_manager的数据库，建议使用root等有超级权限的账号进行初始化 b. canal_manager.sql默认会在conf目录下
mysql -hlocalhost -uroot -p
mysql> source /usr/local/canal_admin/conf/canal_manager.sql;

# 启动
bash bin/startup.sh

# 查看 admin 日志
tail -n 30 logs/admin.log
	2019-09-20 14:50:54.595 [main] INFO  org.apache.coyote.http11.Http11NioProtocol - Starting ProtocolHandler ["http-nio-8089"]
	2019-09-20 14:50:54.624 [main] INFO  org.apache.tomcat.util.net.NioSelectorPool - Using a shared selector for servlet write/read
	2019-09-20 14:50:54.812 [main] INFO  o.s.boot.web.embedded.tomcat.TomcatWebServer - Tomcat started on port(s): 8089 (http) with context path ''
	2019-09-20 14:50:54.818 [main] INFO  com.alibaba.otter.canal.admin.CanalAdminApplication - Started CanalAdminApplication in 11.057 seconds (JVM running for 12.731)

# 浏览器访问，防火墙放行8089端口号
# 地址：http://192.168.0.187:8089/ 访问，默认密码：admin/123456 
# 登陆后可以修改密码

# 用户登陆密码是使用mysql5方式加密的，直接保存到数据库中的，canal_manager.sql文件中最后一条就是登陆账号密码

# 使用
# 创建一个集群，添加已有的canal
# 可以通过修改端口号的方式在一台主机上启动多个canal组建集群
# 地址：https://github.com/alibaba/canal/wiki/AdminGuide

# 停止
bash bin/stop.sh

4. zookeeper

# 设置zookeeper集群
cd /usr/local/src
wget http://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.5.5/apache-zookeeper-3.5.5-bin.tar.gz
tar -zxvf apache-zookeeper-3.5.5-bin.tar.gz -C /usr/local
cd /usr/local/apache-zookeeper-3.5.5-bin

mkdir -p /zkdata/{zookeeper-1,zookeeper-2,zookeeper-3}

cp conf/zoo_sample.cfg conf/zoo-1.cfg
# vim conf/zoo-1.cfg
	dataDir=/zkdata/zookeeper-1
	clientPort=2181

	server.1=127.0.0.1:2888:3888
	server.2=127.0.0.1:2889:3889
	server.3=127.0.0.1:2890:3890

cp conf/zoo-1.cfg conf/zoo-2.cfg
cp conf/zoo-1.cfg conf/zoo-3.cfg

vim conf/zoo-2.cfg
	dataDir=/zkdata/zookeeper-2
	clientPort=2182

	server.1=127.0.0.1:2888:3888
	server.2=127.0.0.1:2889:3889
	server.3=127.0.0.1:2890:3890

vim conf/zoo-3.cfg
	dataDir=/zkdata/zookeeper-3
	clientPort=2183

	server.1=127.0.0.1:2888:3888
	server.2=127.0.0.1:2889:3889
	server.3=127.0.0.1:2890:3890

echo '1' > /zkdata/zookeeper-1/myid
echo '2' > /zkdata/zookeeper-2/myid 
echo '3' > /zkdata/zookeeper-3/myid 

# 修改启动文件，避免后续出现如下错误
# stat is not executed because it is not in the whitelist.
# envi is not executed because it is not in the whitelist.

# nc命令需要安装其他软件
yum install nmap-ncat

# envi命令执行报错提示：envi is not executed because it is not in the whitelist.
# 解决办法 修改启动指令 zkServer.sh ，往里面添加 ：ZOOMAIN="-Dzookeeper.4lw.commands.whitelist=* ${ZOOMAIN}"

	else
	    echo "JMX disabled by user request" >&2
	    ZOOMAIN="org.apache.zookeeper.server.quorum.QuorumPeerMain" # 注意找到这个信息
	fi

# 如果不想添加在这里，注意位置和赋值的顺序
ZOOMAIN="-Dzookeeper.4lw.commands.whitelist=* ${ZOOMAIN}"

# 然后重启zookeeper

# 集群启动脚本
vim start.sh
	bash bin/zkServer.sh start conf/zoo-1.cfg
	bash bin/zkServer.sh start conf/zoo-2.cfg
	bash bin/zkServer.sh start conf/zoo-3.cfg

# 集群关闭脚本
vim start.sh
	bash bin/zkServer.sh stop conf/zoo-1.cfg
	bash bin/zkServer.sh stop conf/zoo-2.cfg
	bash bin/zkServer.sh stop conf/zoo-3.cfg

# 检测集群状态
[root@bogon apache-zookeeper-3.5.5-bin]# bash bin/zkServer.sh status conf/zoo-1.cfg
	/usr/bin/java
	ZooKeeper JMX enabled by default
	Using config: conf/zoo-1.cfg
	Client port found: 2181. Client address: localhost.
	Mode: follower

[root@bogon apache-zookeeper-3.5.5-bin]# bash bin/zkServer.sh status conf/zoo-2.cfg
	/usr/bin/java
	ZooKeeper JMX enabled by default
	Using config: conf/zoo-2.cfg
	Client port found: 2182. Client address: localhost.
	Mode: leader

[root@bogon apache-zookeeper-3.5.5-bin]# bash bin/zkServer.sh status conf/zoo-3.cfg
	/usr/bin/java
	ZooKeeper JMX enabled by default
	Using config: conf/zoo-3.cfg
	Client port found: 2183. Client address: localhost.
	Mode: follower

# 使用WEB UI查看监控集群-zk ui安装
cd /usr/local

git clone https://github.com/DeemOpen/zkui.git

yum install -y maven

# 更换使用阿里云maven源
vim /etc/maven/settings.xml 
	<mirrors>  

	    <mirror>
	        <id>nexus-aliyun</id>
	        <mirrorOf>central</mirrorOf>
	        <name>Nexus aliyun</name>
	        <url>http://maven.aliyun.com/nexus/content/groups/public</url>
	    </mirror>

	</mirrors>

cd zkui/

mvn clean install

# 修改配置文件默认值
vim config.cfg
    serverPort=9090     #指定端口
    zkServer=localhost:2181,localhost:2182,localhost:2183 # 不使用127.0.0.1
    sessionTimeout=300

    # userSet中是登陆web界面的用户名和密码
	#管理员
	#admin:manager
	#用户
	#appconfig:appconfig

# 启动程序至后台
vim start.sh
	#!/bin/bash

	nohup java -jar target/zkui-2.0-SNAPSHOT-jar-with-dependencies.jar &

# 浏览器访问
# 防火墙放行9090端口，后期改用nginx代理
http://192.168.0.187:9090/

5. Kafka

# kafka集群，伪集群
cd /usr/local/src
wget http://mirrors.tuna.tsinghua.edu.cn/apache/kafka/2.3.0/kafka_2.12-2.3.0.tgz
tar -zxv -f kafka_2.12-2.3.0.tgz -C /usr/local/
cd /usr/local/kafka_2.12-2.3.0/config
mkdir -p /kafkadata/{kafka-1,kafka-2,kafka-3}
cp server.properties server-1.properties
vim server-1.properties
	broker.id=1
	delete.topic.enable=true
	listeners=PLAINTEXT://:9092
	advertised.listeners=PLAINTEXT://localhost:9092
	log.dirs=/kafkadata/kafka-1
	zookeeper.connect=localhost:2181,localhost:2182,localhost:2183

cp server-1.properties server-2.properties
vim server-2.properties
	broker.id=2
	delete.topic.enable=true
	listeners=PLAINTEXT://:9093
	log.dirs=/kafkadata/kafka-2
	zookeeper.connect=localhost:2181,localhost:2182,localhost:2183

cp server-1.properties server-3.properties
vim server-3.properties
	broker.id=3
	delete.topic.enable=true
	listeners=PLAINTEXT://:9094
	log.dirs=/kafkadata/kafka-3
	zookeeper.connect=localhost:2181,localhost:2182,localhost:2183

# 启动集群
vim start.sh
	#!/bin/bash

	bash bin/kafka-server-start.sh -daemon config/server-1.properties
	bash bin/kafka-server-start.sh -daemon config/server-2.properties
	bash bin/kafka-server-start.sh -daemon config/server-3.properties

# 停止集群
vim stop.sh 
	#!/bin/bash

	bash bin/kafka-server-stop.sh -daemon config/server-1.properties
	bash bin/kafka-server-stop.sh -daemon config/server-2.properties
	bash bin/kafka-server-stop.sh -daemon config/server-3.properties

# 监控kafka集群，开启监控趋势图使用
# 有一个问题，需要在kafka-server-start.sh文件中配置端口，有如下三种办法
# 第一种：复制并修改kafka目录，比如kafka-1,kafka-2,kafka-3,然后再每个目录下修改kafka-server-start.sh文件
# 第二种：在启动脚本start.sh中添加指定端口
# 第三种：多复制几个kafka-server-start.sh文件，然后进行修改，最后在start.sh中修改一下

# 以下三种方法任选其一即可

# 第一种方式办法，相应行修改成如下形式，注意端口号不同
# 使用的是不同目录下的不同kafka-server-start.sh文件
# start.sh文件也需要做相应的修改
# kafka-1/bin/kafka-server-start.sh
if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
   # export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
    export KAFKA_HEAP_OPTS="-server -Xms2G -Xmx2G -XX:PermSize=128m -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:ParallelGCThreads=8 -XX:ConcGCThreads=5 -XX:InitiatingHeapOccupancyPercent=70"
    export JMX_PORT="9997"
fi
# kafka-2/bin/kafka-server-start.sh
if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
   # export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
    export KAFKA_HEAP_OPTS="-server -Xms2G -Xmx2G -XX:PermSize=128m -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:ParallelGCThreads=8 -XX:ConcGCThreads=5 -XX:InitiatingHeapOccupancyPercent=70"
    export JMX_PORT="9998"
fi
# kafka-3/bin/kafka-server-start.sh
if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
   # export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
    export KAFKA_HEAP_OPTS="-server -Xms2G -Xmx2G -XX:PermSize=128m -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:ParallelGCThreads=8 -XX:ConcGCThreads=5 -XX:InitiatingHeapOccupancyPercent=70"
    export JMX_PORT="9999"
fi

# start.sh
	#!/bin/bash
	bash kafka-1/bin/kafka-server-start.sh -daemon config/server-1.properties
	bash kafka-2/bin/kafka-server-start.sh -daemon config/server-2.properties
	bash kafka-3/bin/kafka-server-start.sh -daemon config/server-3.properties

# 第二种方法
# 使用的用一个目录下的同一个文件，只是在每个命令前指定端口号
vim start.sh
	#!/bin/bash

	JMX_PORT=9997 bash bin/kafka-server-start.sh -daemon config/server-1.properties
	JMX_PORT=9998 bash bin/kafka-server-start.sh -daemon config/server-2.properties
	JMX_PORT=9999 bash bin/kafka-server-start.sh -daemon config/server-3.properties

# 第三种方法
# 使用的是同一个目录下的不同kafka-server-start文件
# start.sh文件也需要做相应的修改
cp kafka-server-start.sh kafka-server-start-1.sh
cp kafka-server-start.sh kafka-server-start-2.sh
cp kafka-server-start.sh kafka-server-start-3.sh

vim kafka-server-start-1.sh
	if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
	   # export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
	    export KAFKA_HEAP_OPTS="-server -Xms2G -Xmx2G -XX:PermSize=128m -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:ParallelGCThreads=8 -XX:ConcGCThreads=5 -XX:InitiatingHeapOccupancyPercent=70"
	    export JMX_PORT="9997"
	fi
vim kafka-server-start-2.sh
	if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
	   # export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
	    export KAFKA_HEAP_OPTS="-server -Xms2G -Xmx2G -XX:PermSize=128m -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:ParallelGCThreads=8 -XX:ConcGCThreads=5 -XX:InitiatingHeapOccupancyPercent=70"
	    export JMX_PORT="9998"
	fi
vim kafka-server-start-3.sh
	if [ "x$KAFKA_HEAP_OPTS" = "x" ]; then
	   # export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
	    export KAFKA_HEAP_OPTS="-server -Xms2G -Xmx2G -XX:PermSize=128m -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:ParallelGCThreads=8 -XX:ConcGCThreads=5 -XX:InitiatingHeapOccupancyPercent=70"
	    export JMX_PORT="9999"
	fi

vim start.sh 
	#!/bin/bash

	bash bin/kafka-server-start-1.sh -daemon config/server-1.properties
	bash bin/kafka-server-start-2.sh -daemon config/server-2.properties
	bash bin/kafka-server-start-3.sh -daemon config/server-3.properties

vim stop.sh
	#!/bin/bash

	bash bin/kafka-server-stop.sh

cd /usr/local/src
wget https://github.com/smartloli/kafka-eagle-bin/archive/v1.3.9.tar.gz

# 多次解压缩后得到kafka-eagle-web-1.3.9目录，然后把该目录复制到/usr/local目录下

cd /usr/local/kafka-eagle-web-1.3.9/conf
vim system-config.properties
	kafka.eagle.zk.cluster.alias=cluster1
	cluster1.zk.list=localhost:2181,localhost:2182,localhost:2183
	kafka.eagle.metrics.charts=true # 开启监控趋势图，需要开启Kafka系统的JMX端口，设置该端口在$KAFKA_HOME/bin/kafka-server-start.sh脚本中
	kafka.eagle.sql.fix.error=true # 开启错误日志信息
	# 其余保持默认，数据库使用sqlite，注意路径需要事先创建好或修改成当前目录
	# 数据库也可以更换成MySQL
	kafka.eagle.url=jdbc:sqlite:/usr/local/kafka-eagle-web-1.3.9/db/ke.db

# 注意
# kafka.eagle.zk.cluster.alias的值需要跟下面的这个cluster1.zk.list小数点第一个保持一致，比如都是cluster1，否则获取不到数据

# 添加环境变量
vim /etc/profile.d/kafka_eagle.sh
	#!/bin/bash

	export KE_HOME=/usr/local/kafka-eagle-web-1.3.9
	export PATH=$PATH:$KE_HOME/bin
source /etc/profile.d/kafka_eagle.sh


# 命令相关
bash bin/ke.sh start|stop|status|stats|restart

# 启动
bash bin/ke.sh start
	*******************************************************************
	* Kafka Eagle system monitor port successful... 
	*******************************************************************
	[2019-09-20 12:10:32] INFO: Status Code[0]
	[2019-09-20 12:10:32] INFO: [Job done!]
	Welcome to
	    __ __    ___     ____    __ __    ___            ______    ___    ______    __     ______
	   / //_/   /   |   / __/   / //_/   /   |          / ____/   /   |  / ____/   / /    / ____/
	  / ,<     / /| |  / /_    / ,<     / /| |         / __/     / /| | / / __    / /    / __/   
	 / /| |   / ___ | / __/   / /| |   / ___ |        / /___    / ___ |/ /_/ /   / /___ / /___   
	/_/ |_|  /_/  |_|/_/     /_/ |_|  /_/  |_|       /_____/   /_/  |_|\____/   /_____//_____/   
	                                                                                             

	Version 1.3.9
	*******************************************************************
	* Kafka Eagle Service has started success.
	* Welcome, Now you can visit 'http://127.0.0.1:8048/ke'
	* Account:admin ,Password:123456
	*******************************************************************
	* <Usage> ke.sh [start|status|stop|restart|stats] </Usage>
	* <Usage> https://www.kafka-eagle.org/ </Usage>
	*******************************************************************

# 浏览器访问,防火墙放行该端口，后期改用Nginx代理
地址：192.168.0.187:8048/ke
账号:admin，密码：123456


# 在kafka eagle平台使用KSQL查询数据

# 左侧导航

# 1.先在Topic-List中查看到Topic Name和Partition Indexes的值
# ID	Topic Name	Partition Indexes	Partition Numbers	Created	Modify	Operate
# 1	canal_manager	[0]	1	2019-09-20 17:27:15	2019-09-20 17:27:15	

# 2. 在Topic-KSQL中输入查询语句
# select * from "canal_manager" where "partition" in (0) limit 1
# 下方会显示查询所用时间和查询后的结果

# 在如下目录的文件中可以查看具体的异常信息，一般都会提示具体的错误
# tail -n 30 kafka-eagle-web-1.3.9/logs/ke_console.out

# 配置文件详细说明
######################################
# 配置多个Kafka集群所对应的Zookeeper
######################################
kafka.eagle.zk.cluster.alias=cluster1,cluster2
cluster1.zk.list=dn1:2181,dn2:2181,dn3:2181
cluster2.zk.list=tdn1:2181,tdn2:2181,tdn3:2181

######################################
# 设置Zookeeper线程数
######################################
kafka.zk.limit.size=25

######################################
# 设置Kafka Eagle浏览器访问端口
######################################
kafka.eagle.webui.port=8048

######################################
# 如果你的offsets存储在Kafka中，这里就配置
# 属性值为kafka，如果是在Zookeeper中，可以
# 注释该属性。一般情况下，Offsets的也和你消
# 费者API有关系，如果你使用的Kafka版本为0.10.x
# 以后的版本，但是，你的消费API使用的是0.8.2.x
# 时的API，此时消费者依然是在Zookeeper中
######################################
cluster1.kafka.eagle.offset.storage=kafka
######################################
# 如果你的集群一个是新版本（0.10.x以上），
# 一个是老版本（0.8或0.9），可以这样设置，
# 如果都是新版本，那么可以将值都设置成kafka
######################################
cluster2.kafka.eagle.offset.storage=zookeeper

######################################
# 是否启动监控图表，默认是不启动的
######################################
kafka.eagle.metrics.charts=false

######################################
# 在使用Kafka SQL查询主题时，如果遇到错误，
# 可以尝试开启这个属性，默认情况下，不开启
######################################
kafka.eagle.sql.fix.error=false

######################################
# 邮件服务器设置，用来告警
######################################
kafka.eagle.mail.enable=false
kafka.eagle.mail.sa=
kafka.eagle.mail.username=
kafka.eagle.mail.password=
kafka.eagle.mail.server.host=
kafka.eagle.mail.server.port=

######################################
# 设置告警用户，多个用户以英文逗号分隔
######################################
kafka.eagle.alert.users=smartloli.org@gmail.com


######################################
# 超级管理员删除主题的Token
######################################
kafka.eagle.topic.token=keadmin

######################################
# 如果启动Kafka SASL协议，开启该属性
######################################
kafka.eagle.sasl.enable=false
kafka.eagle.sasl.protocol=SASL_PLAINTEXT
kafka.eagle.sasl.mechanism=PLAIN

######################################
# Kafka Eagle默认存储在Sqlite中，如果要使用
# MySQL可以替换驱动、用户名、密码、连接地址
######################################
#kafka.eagle.driver=com.mysql.jdbc.Driver
#kafka.eagle.url=jdbc:mysql://127.0.0.1:3306/ke?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
#kafka.eagle.username=root
#kafka.eagle.password=123456

kafka.eagle.driver=org.sqlite.JDBC
kafka.eagle.url=jdbc:sqlite:/Users/dengjie/workspace/kafka-egale/db/ke.db
kafka.eagle.username=root
kafka.eagle.password=root

6. 投递数据到Kafka

# 先进行canal配置，改动配置文件canal.properties
# serverMode改为kafka
vim conf/canal.properties
	canal.serverMode = kafka
	canal.mq.servers = localhost:9092,localhost:9093,localhost:9094

vim conf/example/instance.propties
	# mq config
	canal.mq.topic=canal_manager # 填写数据库库名，表示这个数据库的所有表的操作都在这个topic下
	# dynamic topic route by schema or table regex
	# canal.mq.dynamicTopic=.*\..*
	canal.mq.partition=0
	# hash partition config
	# canal.mq.partitionsNum=10
	# canal.mq.partitionHash=.*\..*

# 以上具体规则详看官方文档

# kafka开启消息队列的自动创建topic模式，相关配置在kafka的server.properties
echo 'auto.create.topics.enable=true' >> config/server-1.properties 
echo 'auto.create.topics.enable=true' >> config/server-2.properties 
echo 'auto.create.topics.enable=true' >> config/server-3.properties 

# 相关改动完成后重启canal和kafka

# 使用canal_admin平台查看canal的状态
# Server管理，操作，日志

# 使用zu ui平台查看kafka的topic情况
# 左侧导航Topic-List查看生成的topic，这里显示的是canal_manager，上面设置的那个数据库库名
# 点开Topic Name可以查看具体的数据个数

# 使用命令行kafka-console-consumer.sh --topic canal_manager --bootstrap-server localhost:9092 --from-beginning查看canal传递给kafka的数据
# 插入一条数据
	{"data":[{"id":"13","username":"13","password":"6BB4837EB74329105EE4568DDA7DC67ED2CA2AD9","name":"Canal Manager","roles":"admin","introduction":null,"avatar":null,"creation_date":"2019-07-14 00:05:28"}],"database":"canal_manager","es":1568972329000,"id":10,"isDdl":false,"mysqlType":{"id":"bigint(20)","username":"varchar(31)","password":"varchar(128)","name":"varchar(31)","roles":"varchar(31)","introduction":"varchar(255)","avatar":"varchar(255)","creation_date":"timestamp"},"old":null,"pkNames":["id"],"sql":"","sqlType":{"id":-5,"username":12,"password":12,"name":12,"roles":12,"introduction":12,"avatar":12,"creation_date":93},"table":"canal_user","ts":1568972329456,"type":"INSERT"}
# 删除一条数据
	{"data":[{"id":"13","username":"13","password":"6BB4837EB74329105EE4568DDA7DC67ED2CA2AD9","name":"Canal Manager","roles":"admin","introduction":null,"avatar":null,"creation_date":"2019-07-14 00:05:28"}],"database":"canal_manager","es":1568972368000,"id":11,"isDdl":false,"mysqlType":{"id":"bigint(20)","username":"varchar(31)","password":"varchar(128)","name":"varchar(31)","roles":"varchar(31)","introduction":"varchar(255)","avatar":"varchar(255)","creation_date":"timestamp"},"old":null,"pkNames":["id"],"sql":"","sqlType":{"id":-5,"username":12,"password":12,"name":12,"roles":12,"introduction":12,"avatar":12,"creation_date":93},"table":"canal_user","ts":1568972369005,"type":"DELETE"}
# 更新一条数据
	{"data":[{"id":"13","username":"13","password":"6BB4837EB74329105EE4568DDA7DC67ED2CA2AD9","name":"Canal Manager","roles":"1111","introduction":null,"avatar":null,"creation_date":"2019-09-20 23:52:09"}],"database":"canal_manager","es":1568994729000,"id":4,"isDdl":false,"mysqlType":{"id":"bigint(20)","username":"varchar(31)","password":"varchar(128)","name":"varchar(31)","roles":"varchar(31)","introduction":"varchar(255)","avatar":"varchar(255)","creation_date":"timestamp"},"old":[{"roles":"admin","creation_date":"2019-07-14 00:05:28"}],"pkNames":["id"],"sql":"","sqlType":{"id":-5,"username":12,"password":12,"name":12,"roles":12,"introduction":12,"avatar":12,"creation_date":93},"table":"canal_user","ts":1568994729999,"type":"UPDATE"}

# 或者在kafka eagle平台使用KSQL查询数据，上述文档已经说过了