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
