1. 實驗環境
CPU:4
內存：8G
ip:192.168.0.187
開啟iptables防火牆
關閉selinux
java >=1.5
使用yum方式安裝的java,提前配置好JAVA_HOME環境變量
vim /etc/profile.d/java.sh
#!/bin/bash
export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk # 路徑根據實際情況而定
export PATH=$PATH:$JAVA_HOME/bin
source /etc/profile.d/java.sh
2. MySQL信息
mysql賬號
root
MySQL密碼
liykpntuu9?C
操作
vim /etc/my.cnf
[mysqld]
log-bin=mysql-bin # 開啟 binlog
binlog-format=ROW # 選擇 ROW 模式
server_id=1 # 配置 MySQL replaction 需要定義，不要和 canal 的 slaveId 重復
service mysqld restart
登陸數據庫后操作
CREATE USER canal IDENTIFIED BY 'canal!%123AD';
GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'canal'@'%';
FLUSH PRIVILEGES;
# 查詢MySQL數據庫中某一個用戶授予的權限
mysql> show grants for canal;
+---------------------------------------------------------------------------+
| Grants for canal@% |
+---------------------------------------------------------------------------+
| GRANT SELECT, REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'canal'@'%' |
+---------------------------------------------------------------------------+
3. canal操作
# 下載
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
# 修改連接數據庫的配置文件
cd /usr/local/canal
vim conf/example/instance.properties
## mysql serverId
canal.instance.mysql.slaveId = 123
#position info，需要改成自己的數據庫信息
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，需要改成自己的數據庫信息
canal.instance.dbUsername = canal
canal.instance.dbPassword = canal!%123AD
canal.instance.defaultDatabaseName =
canal.instance.connectionCharset = UTF-8
#table regex
canal.instance.filter.regex = .\*\\\\..\*
# 啟動
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
# 關閉
bash bin/stop.sh
# 端口使用情況
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))
# 端口號說明
# admin端口：11110
# tcp端口：11111
# metric端口：11112
# 端口號所在配置文件
# canal/conf/canal.properties
# canal.port = 11111
# canal.metrics.pull.port = 11112
# canal/conf/canal_local.properties
# canal.admin.port = 11110
組建HA集群
地址：https://github.com/alibaba/canal/wiki/AdminGuide
# 重新獲得一份解壓縮的目錄，比如canal_2
# 修改原有的canal數據
vim canal.properties
canal.zkServers=localhost:2181,localhost:2182,localhost:2183,
canal.instance.global.spring.xml = classpath:spring/default-instance.xml
# 然后把這個文件復制到canal_2對應目錄下，在canal_2對應目錄下再次修改
vim canal.properties
canal.port = 11114
canal.metrics.pull.port = 11115
vim canal_local.properties
canal.admin.port = 11113
# 把canal example目錄下的instance.properties復制到canal_2對應目錄下，並在canal_2對應目錄下再次修改
vim instance.properties
canal.instance.mysql.slaveId = 124 ##另外一台機器改成1235，保證slaveId不重復即可
# 注意： 兩台機器上的instance目錄的名字需要保證完全一致，HA模式是依賴於instance name進行管理，同時必須都選擇default-instance.xml配置
# 然后分別啟動
# 總結一下：
# 1. 倆配置文件中使用的三個端口號需要不一樣
# 2. 使用default-instance.xml文件
# 3. MySQL的slaveId不一樣
# 4. 兩台機器上的instance目錄的名字需要保證完全一致
# 啟動后，可以查看logs/example/example.log，只會看到一台機器上出現了啟動成功的日志。
# 或者通過查看一下zookeeper中的節點信息，可以知道當前工作的節點為localhost:11111
# get /otter/canal/destinations/example/running
# canal-admin 使用WEB UI界面查看管理canal
# canal-admin的限定依賴：
# MySQL，用於存儲配置和節點等相關數據
# canal版本，要求>=1.1.4 (需要依賴canal-server提供面向admin的動態運維管理接口)
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 # 端口號,防火牆放行該端口號
spring:
jackson:
date-format: yyyy-MM-dd HH:mm:ss
time-zone: GMT+8
spring.datasource:
address: 127.0.0.1:3306 # 數據庫地址和端口
database: canal_manager # 數據庫名
username: canal_admin # 數據庫賬號 ，注意跟一開始創建的canal賬號區分開，需要修改一下
password: ABC123,.abc@#11 # 數據庫密碼
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 # 平台賬號
adminPasswd: admin # 平台密碼
# 注意，數據庫名，賬號和密碼需要提前創建好
# 若修改默認的數據庫名，則示例sql文件中也需要修改
# 這里只修改默認的數據庫賬號和密碼，其余保持默認
# 初始化元數據庫
# 初始化SQL腳本里會默認創建canal_manager的數據庫，建議使用root等有超級權限的賬號進行初始化 b. canal_manager.sql默認會在conf目錄下
mysql -hlocalhost -uroot -p
mysql> source /usr/local/canal_admin/conf/canal_manager.sql;
# 啟動
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)
# 瀏覽器訪問，防火牆放行8089端口號
# 地址：http://192.168.0.187:8089/ 訪問，默認密碼：admin/123456
# 登陸后可以修改密碼
# 用戶登陸密碼是使用mysql5方式加密的，直接保存到數據庫中的，canal_manager.sql文件中最后一條就是登陸賬號密碼
# 使用
# 創建一個集群，添加已有的canal
# 可以通過修改端口號的方式在一台主機上啟動多個canal組建集群
# 地址：https://github.com/alibaba/canal/wiki/AdminGuide
# 停止
bash bin/stop.sh
4. zookeeper
# 設置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
# 修改啟動文件，避免后續出現如下錯誤
# stat is not executed because it is not in the whitelist.
# envi is not executed because it is not in the whitelist.
# nc命令需要安裝其他軟件
yum install nmap-ncat
# envi命令執行報錯提示：envi is not executed because it is not in the whitelist.
# 解決辦法 修改啟動指令 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" # 注意找到這個信息
fi
# 如果不想添加在這里，注意位置和賦值的順序
ZOOMAIN="-Dzookeeper.4lw.commands.whitelist=* ${ZOOMAIN}"
# 然后重啟zookeeper
# 集群啟動腳本
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
# 集群關閉腳本
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
# 檢測集群狀態
[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查看監控集群-zk ui安裝
cd /usr/local
git clone https://github.com/DeemOpen/zkui.git
yum install -y maven
# 更換使用阿里雲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
# 修改配置文件默認值
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中是登陸web界面的用戶名和密碼
#管理員
#admin:manager
#用戶
#appconfig:appconfig
# 啟動程序至后台
vim start.sh
#!/bin/bash
nohup java -jar target/zkui-2.0-SNAPSHOT-jar-with-dependencies.jar &
# 瀏覽器訪問
# 防火牆放行9090端口，后期改用nginx代理
http://192.168.0.187:9090/
5. Kafka
# kafka集群，偽集群
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
# 啟動集群
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
# 監控kafka集群，開啟監控趨勢圖使用
# 有一個問題，需要在kafka-server-start.sh文件中配置端口，有如下三種辦法
# 第一種：復制並修改kafka目錄，比如kafka-1,kafka-2,kafka-3,然后再每個目錄下修改kafka-server-start.sh文件
# 第二種：在啟動腳本start.sh中添加指定端口
# 第三種：多復制幾個kafka-server-start.sh文件，然后進行修改，最后在start.sh中修改一下
# 以下三種方法任選其一即可
# 第一種方式辦法，相應行修改成如下形式，注意端口號不同
# 使用的是不同目錄下的不同kafka-server-start.sh文件
# start.sh文件也需要做相應的修改
# 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
# 第二種方法
# 使用的用一個目錄下的同一個文件，只是在每個命令前指定端口號
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
# 第三種方法
# 使用的是同一個目錄下的不同kafka-server-start文件
# start.sh文件也需要做相應的修改
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$KAFKA_HEAP_OPTS" = "x" ]; then
# export KAFKA_HEAP_OPTS="-Xmx1G -Xms1G"
export KAFKA_HEAP_OPTS="-server -Xms2G -Xmx2G -XX:PermSize=128m -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:ParallelGCThreads=8 -XX:ConcGCThreads=5 -XX:InitiatingHeapOccupancyPercent=70"
export JMX_PORT="9999"
fi
vim start.sh
#!/bin/bash
bash bin/kafka-server-start-1.sh -daemon config/server-1.properties
bash bin/kafka-server-start-2.sh -daemon config/server-2.properties
bash bin/kafka-server-start-3.sh -daemon config/server-3.properties
vim stop.sh
#!/bin/bash
bash bin/kafka-server-stop.sh
cd /usr/local/src
wget https://github.com/smartloli/kafka-eagle-bin/archive/v1.3.9.tar.gz
# 多次解壓縮后得到kafka-eagle-web-1.3.9目錄，然后把該目錄復制到/usr/local目錄下
cd /usr/local/kafka-eagle-web-1.3.9/conf
vim system-config.properties
kafka.eagle.zk.cluster.alias=cluster1
cluster1.zk.list=localhost:2181,localhost:2182,localhost:2183
kafka.eagle.metrics.charts=true # 開啟監控趨勢圖，需要開啟Kafka系統的JMX端口，設置該端口在$KAFKA_HOME/bin/kafka-server-start.sh腳本中
kafka.eagle.sql.fix.error=true # 開啟錯誤日志信息
# 其余保持默認，數據庫使用sqlite，注意路徑需要事先創建好或修改成當前目錄
# 數據庫也可以更換成MySQL
kafka.eagle.url=jdbc:sqlite:/usr/local/kafka-eagle-web-1.3.9/db/ke.db
# 注意
# kafka.eagle.zk.cluster.alias的值需要跟下面的這個cluster1.zk.list小數點第一個保持一致，比如都是cluster1，否則獲取不到數據
# 添加環境變量
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
# 命令相關
bash bin/ke.sh start|stop|status|stats|restart
# 啟動
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>
*******************************************************************
# 瀏覽器訪問,防火牆放行該端口，后期改用Nginx代理
地址：192.168.0.187:8048/ke
賬號:admin，密碼：123456
# 在kafka eagle平台使用KSQL查詢數據
# 左側導航
# 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中輸入查詢語句
# select * from "canal_manager" where "partition" in (0) limit 1
# 下方會顯示查詢所用時間和查詢后的結果
# 在如下目錄的文件中可以查看具體的異常信息，一般都會提示具體的錯誤
# tail -n 30 kafka-eagle-web-1.3.9/logs/ke_console.out
# 配置文件詳細說明
######################################
# 配置多個Kafka集群所對應的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
######################################
# 設置Zookeeper線程數
######################################
kafka.zk.limit.size=25
######################################
# 設置Kafka Eagle瀏覽器訪問端口
######################################
kafka.eagle.webui.port=8048
######################################
# 如果你的offsets存儲在Kafka中，這里就配置
# 屬性值為kafka，如果是在Zookeeper中，可以
# 注釋該屬性。一般情況下，Offsets的也和你消
# 費者API有關系，如果你使用的Kafka版本為0.10.x
# 以后的版本，但是，你的消費API使用的是0.8.2.x
# 時的API，此時消費者依然是在Zookeeper中
######################################
cluster1.kafka.eagle.offset.storage=kafka
######################################
# 如果你的集群一個是新版本（0.10.x以上），
# 一個是老版本（0.8或0.9），可以這樣設置，
# 如果都是新版本，那么可以將值都設置成kafka
######################################
cluster2.kafka.eagle.offset.storage=zookeeper
######################################
# 是否啟動監控圖表，默認是不啟動的
######################################
kafka.eagle.metrics.charts=false
######################################
# 在使用Kafka SQL查詢主題時，如果遇到錯誤，
# 可以嘗試開啟這個屬性，默認情況下，不開啟
######################################
kafka.eagle.sql.fix.error=false
######################################
# 郵件服務器設置，用來告警
######################################
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=
######################################
# 設置告警用戶，多個用戶以英文逗號分隔
######################################
kafka.eagle.alert.users=smartloli.org@gmail.com
######################################
# 超級管理員刪除主題的Token
######################################
kafka.eagle.topic.token=keadmin
######################################
# 如果啟動Kafka SASL協議，開啟該屬性
######################################
kafka.eagle.sasl.enable=false
kafka.eagle.sasl.protocol=SASL_PLAINTEXT
kafka.eagle.sasl.mechanism=PLAIN
######################################
# Kafka Eagle默認存儲在Sqlite中，如果要使用
# MySQL可以替換驅動、用戶名、密碼、連接地址
######################################
#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. 投遞數據到Kafka
# 先進行canal配置，改動配置文件canal.properties
# serverMode改為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 # 填寫數據庫庫名，表示這個數據庫的所有表的操作都在這個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=.*\\..*
# 以上具體規則詳看官方文檔
# kafka開啟消息隊列的自動創建topic模式，相關配置在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
# 相關改動完成后重啟canal和kafka
# 使用canal_admin平台查看canal的狀態
# Server管理，操作，日志
# 使用zu ui平台查看kafka的topic情況
# 左側導航Topic-List查看生成的topic，這里顯示的是canal_manager，上面設置的那個數據庫庫名
# 點開Topic Name可以查看具體的數據個數
# 使用命令行kafka-console-consumer.sh --topic canal_manager --bootstrap-server localhost:9092 --from-beginning查看canal傳遞給kafka的數據
# 插入一條數據
{"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"}
# 刪除一條數據
{"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"}
# 更新一條數據
{"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查詢數據，上述文檔已經說過了