kafka_2.10-0.8.1.1.tgz的1或3节点集群的下载、安装和配置(图文详细教程)绝对干货

一、安装前准备
  1.1 示例机器

二、 JDK7 安装

1.1 下载地址
  下载地址: http://www.oracle.com/technetwork/java/javase/downloads/jdk7-downloads-1880260.html

[hadoop@hadoop1 ~]$ cd
[hadoop@hadoop1 ~]$ rz
-bash: rz: command not found
[hadoop@hadoop1 ~]$ su root
Password:
[root@hadoop1 hadoop]# yum -y install lrzsz

  hadoop2和hadoop3操作一样,不多赘述。

  在安装jdk之前,先要卸载自带的openjdk。

Centos 6.5下的OPENJDK卸载和SUN的JDK安装、环境变量配置

[hadoop@hadoop1 ~]$ pwd
/home/hadoop
[hadoop@hadoop1 ~]$ ll
total 0
[hadoop@hadoop1 ~]$ rz [hadoop@hadoop1 ~]$ ll
total 149920
-rw-r--r--. 1 hadoop hadoop 153512879 Oct 23 2015 jdk-7u79-linux-x64.tar.gz
[hadoop@hadoop1 ~]$

  hadoop2和hadoop3操作一样,不多赘述。

1.2 安装
  解压缩

cd /home/hadoop
tar zxvf jdk-7u79-linux-x64.gz

[hadoop@hadoop1 ~]$ pwd
/home/hadoop
[hadoop@hadoop1 ~]$ ll
total 149920
-rw-r--r--. 1 hadoop hadoop 153512879 Oct 23 2015 jdk-7u79-linux-x64.tar.gz
[hadoop@hadoop1 ~]$ tar -zxvf jdk-7u79-linux-x64.tar.gz

  hadoop2和hadoop3操作一样,不多赘述。

  建立软连接

ln -s jdk1.7.0_79 jdk

[hadoop@hadoop1 ~]$ ll
total 4
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
[hadoop@hadoop1 ~]$ ln -s jdk1.7.0_79/ jdk
[hadoop@hadoop1 ~]$ ll
total 4
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
[hadoop@hadoop1 ~]$

  hadoop2和hadoop3操作一样,不多赘述。

  设置环境变量

vim /etc/profile

  hadoop2和hadoop3操作一样,不多赘述。

  添加如下:

#jdk
export JAVA_HOME=/home/hadoop/jdk
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export PATH=$JAVA_HOME/bin:$PATH

  hadoop2和hadoop3操作一样,不多赘述。

  设置环境变量

source /etc/profile

  hadoop2和hadoop3操作一样,不多赘述。

执行 java -version, 如果有版本显示则说明安装成功

三、安装 zookeeper

 1、安装 zookeeper

[hadoop@hadoop1 ~]$ pwd
/home/hadoop
[hadoop@hadoop1 ~]$ ll
total 4
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
[hadoop@hadoop1 ~]$ rz [hadoop@hadoop1 ~]$ ll
total 27408
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
-rw-r--r--. 1 hadoop hadoop 28060242 Mar 20 10:24 zookeeper-3.4.5-cdh5.5.4.gz
[hadoop@hadoop1 ~]$

  hadoop2和hadoop3都去操作,这里不多赘述。

  1.1 安装
  解压

cd /home/hadoop
tar zxvf zookeeper-3.4.5-cdh5.5.4.gz

[hadoop@hadoop1 ~]$ ll
total 27408
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:34 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
-rw-r--r--. 1 hadoop hadoop 28060242 Mar 20 10:24 zookeeper-3.4.5-cdh5.5.4.gz
[hadoop@hadoop1 ~]$ tar -zxvf zookeeper-3.4.5-cdh5.5.4.gz

   hadoop2和hadoop3都去操作,这里不多赘述。

  1.2 建立软连接

[hadoop@hadoop1 ~]$ pwd
/home/hadoop
[hadoop@hadoop1 ~]$ ll
total 8
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
drwxr-xr-x. 14 hadoop hadoop 4096 Apr 26 2016 zookeeper-3.4.5-cdh5.5.4
[hadoop@hadoop1 ~]$ ln -s zookeeper-3.4.5-cdh5.5.4/ zookeeper
[hadoop@hadoop1 ~]$ ll
total 8
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
lrwxrwxrwx. 1 hadoop hadoop 25 Apr 22 22:49 zookeeper -> zookeeper-3.4.5-cdh5.5.4/
drwxr-xr-x. 14 hadoop hadoop 4096 Apr 26 2016 zookeeper-3.4.5-cdh5.5.4
[hadoop@hadoop1 ~]$

  hadoop2和hadoop3都去操作,这里不多赘述。

#zookeeper
export ZOOKEEPER_HOME=/home/hadoop/zookeeper
export PATH=$PATH:$ZOOKEEPER_HOME/bin

  hadoop2和hadoop3都去操作,这里不多赘述。

[root@hadoop1 hadoop]# vim /etc/profile
[root@hadoop1 hadoop]# source /etc/profile

  hadoop2和hadoop3都去操作,这里不多赘述。

  1.3 修改配置文件

  复制配置文件

cd /home/hadoop/zookeeper/conf
cp zoo_sample.cfg zoo.cfg

[hadoop@hadoop1 ~]$ ll
total 8
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
lrwxrwxrwx. 1 hadoop hadoop 25 Apr 22 22:49 zookeeper -> zookeeper-3.4.5-cdh5.5.4/
drwxr-xr-x. 14 hadoop hadoop 4096 Apr 26 2016 zookeeper-3.4.5-cdh5.5.4
[hadoop@hadoop1 ~]$ cd zookeeper
[hadoop@hadoop1 zookeeper]$ cd conf/
[hadoop@hadoop1 conf]$ pwd
/home/hadoop/zookeeper/conf
[hadoop@hadoop1 conf]$ ll
total 12
-rw-rw-r--. 1 hadoop hadoop 535 Apr 26 2016 configuration.xsl
-rw-rw-r--. 1 hadoop hadoop 2693 Apr 26 2016 log4j.properties
-rw-rw-r--. 1 hadoop hadoop 808 Apr 26 2016 zoo_sample.cfg
[hadoop@hadoop1 conf]$ cp zoo_sample.cfg zoo.cfg
[hadoop@hadoop1 conf]$ ll
total 16
-rw-rw-r--. 1 hadoop hadoop 535 Apr 26 2016 configuration.xsl
-rw-rw-r--. 1 hadoop hadoop 2693 Apr 26 2016 log4j.properties
-rw-rw-r-- 1 hadoop hadoop 808 Apr 23 08:45 zoo.cfg
-rw-rw-r--. 1 hadoop hadoop 808 Apr 26 2016 zoo_sample.cfg
[hadoop@hadoop1 conf]$

  hadoop2和hadoop3都去操作,这里不多赘述。

[hadoop@hadoop1 conf]$ pwd
/home/hadoop/zookeeper/conf
[hadoop@hadoop1 conf]$ ll
total 16
-rw-rw-r--. 1 hadoop hadoop 535 Apr 26 2016 configuration.xsl
-rw-rw-r--. 1 hadoop hadoop 2693 Apr 26 2016 log4j.properties
-rw-rw-r-- 1 hadoop hadoop 808 Apr 23 08:45 zoo.cfg
-rw-rw-r--. 1 hadoop hadoop 808 Apr 26 2016 zoo_sample.cfg
[hadoop@hadoop1 conf]$ vim zoo.cfg

  hadoop2和hadoop3都去操作,这里不多赘述。

  修改参数

tickTime=2000
initLimit=10
syncLimit=5
dataDir=/home/hadoop/zookeeper/data
dataLogDir=/home/hadoop/zookeeper/logs
clientPort=2181
server.1=hadoop1:2888:3888
server.2=hadoop2:2888:3888
server.3=hadoop3:2888:3888

 tickTime 时长单位为毫秒, 为 zk 使用的基本时间度量单位。 例如, 1 * tickTime 是客户端与 zk 服务端的心跳时间, 2 * tickTime 是客户端会话的超时时间。 tickTime 的默认值为2000 毫秒, 更低的 tickTime 值可以更快地发现超时问题, 但也会导致更高的网络流量(心跳消息)和更高的 CPU 使用率(会话的跟踪处理) 。
  clientPort zk 服务进程监听的 TCP 端口, 默认情况下, 服务端会监听 2181 端口。dataDir 无默认配置, 必须配置, 用于配置存储快照文件的目录。 如果没有配置dataLogDir, 那么事务日志也会存储在此目录。

  hadoop2和hadoop3都去操作,这里不多赘述。

创建目录

mkdir -p  /home/hadoop/zookeeper/data
mkdir -p /home/hadoop/zookeeper/logs

  hadoop2和hadoop3都去操作,这里不多赘述。

1.3 创建 ID 文件

  在 dataDir 目录下(即/home/hadoop/zookeeper/data下)添加 myid 文件, 并把 server.x 中的 x 数字写入文件中

[hadoop@hadoop1 data]$ pwd
/home/hadoop/zookeeper/data
[hadoop@hadoop1 data]$ ll
total 0
[hadoop@hadoop1 data]$ vim myid 1

   hadoop2和hadoop3都去操作,这里不多赘述。

2 启动 zookeeper
  2.1 启动

cd /home/hadoop/zookeeper/bin
./zkServer.sh start

  启动 ZK 服务: ./zkServer.sh start
  查看 ZK 服务状态: ./zkServer.sh status
  停止 ZK 服务: ./zkServer.sh stop
  重启 ZK 服务: ./zkServer.sh restart

  hadoop2和hadoop3都去操作,这里不多赘述。

  2.1 测试
  在 hadoop1 机器上的 zookeeper 中创建节点

cd /home/hadoop/zookeeper/bin
./zkCli.sh
create /hello hehe

  这里不演示

  在 hadoop2 机器上查看节点

cd /home/hadoop/zookeeper/bin
./zkCli.sh

  这里不演示

  get /hello //如果有值则说明 zookeeper 运行正常

2.1 进程的意义

  这里不多赘述。

四、kafka的安装
  4.1 安装
  在 hadoop1、hadoop2和hadoop3 机器上安装

cd /home/hadoop
tar zxvf kafka_2.11-0.8.2.2.tgz
ln -s kafka_2.11-0.8.2.2 kafka

[hadoop@hadoop1 ~]$ ll
total 28
drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin
drwxrwxr-x 5 hadoop hadoop 4096 Apr 23 18:34 data
lrwxrwxrwx 1 hadoop hadoop 32 Apr 23 18:14 flume -> apache-flume-1.6.0-cdh5.5.4-bin/
lrwxrwxrwx 1 hadoop hadoop 22 Apr 23 09:08 hadoop -> hadoop-2.6.0-cdh5.5.4/
drwxr-xr-x 18 hadoop hadoop 4096 Apr 23 09:50 hadoop-2.6.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 21 Apr 23 16:55 hbase -> hbase-1.0.0-cdh5.5.4/
drwxr-xr-x 27 hadoop hadoop 4096 Apr 23 17:27 hbase-1.0.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 20 Apr 23 15:27 hive -> hive-1.1.0-cdh5.5.4/
drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
lrwxrwxrwx. 1 hadoop hadoop 25 Apr 22 22:49 zookeeper -> zookeeper-3.4.5-cdh5.5.4/
drwxr-xr-x. 16 hadoop hadoop 4096 Apr 23 08:57 zookeeper-3.4.5-cdh5.5.4
[hadoop@hadoop1 ~]$ rz [hadoop@hadoop1 ~]$ ll
total 15436
drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin
drwxrwxr-x 5 hadoop hadoop 4096 Apr 23 18:34 data
lrwxrwxrwx 1 hadoop hadoop 32 Apr 23 18:14 flume -> apache-flume-1.6.0-cdh5.5.4-bin/
lrwxrwxrwx 1 hadoop hadoop 22 Apr 23 09:08 hadoop -> hadoop-2.6.0-cdh5.5.4/
drwxr-xr-x 18 hadoop hadoop 4096 Apr 23 09:50 hadoop-2.6.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 21 Apr 23 16:55 hbase -> hbase-1.0.0-cdh5.5.4/
drwxr-xr-x 27 hadoop hadoop 4096 Apr 23 17:27 hbase-1.0.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 20 Apr 23 15:27 hive -> hive-1.1.0-cdh5.5.4/
drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
-rw-r--r-- 1 hadoop hadoop 15773865 Mar 20 10:24 kafka_2.11-0.8.2.2.tgz
lrwxrwxrwx. 1 hadoop hadoop 25 Apr 22 22:49 zookeeper -> zookeeper-3.4.5-cdh5.5.4/
drwxr-xr-x. 16 hadoop hadoop 4096 Apr 23 08:57 zookeeper-3.4.5-cdh5.5.4
[hadoop@hadoop1 ~]$

  hadoop2和hadoop3操作,不多赘述。

[hadoop@hadoop1 ~]$ ll
total 15436
drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin
drwxrwxr-x 5 hadoop hadoop 4096 Apr 23 18:34 data
lrwxrwxrwx 1 hadoop hadoop 32 Apr 23 18:14 flume -> apache-flume-1.6.0-cdh5.5.4-bin/
lrwxrwxrwx 1 hadoop hadoop 22 Apr 23 09:08 hadoop -> hadoop-2.6.0-cdh5.5.4/
drwxr-xr-x 18 hadoop hadoop 4096 Apr 23 09:50 hadoop-2.6.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 21 Apr 23 16:55 hbase -> hbase-1.0.0-cdh5.5.4/
drwxr-xr-x 27 hadoop hadoop 4096 Apr 23 17:27 hbase-1.0.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 20 Apr 23 15:27 hive -> hive-1.1.0-cdh5.5.4/
drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
-rw-r--r-- 1 hadoop hadoop 15773865 Mar 20 10:24 kafka_2.11-0.8.2.2.tgz
lrwxrwxrwx. 1 hadoop hadoop 25 Apr 22 22:49 zookeeper -> zookeeper-3.4.5-cdh5.5.4/
drwxr-xr-x. 16 hadoop hadoop 4096 Apr 23 08:57 zookeeper-3.4.5-cdh5.5.4
[hadoop@hadoop1 ~]$ tar -zxvf kafka_2.11-0.8.2.2.tgz

  hadoop2和hadoop3操作,不多赘述。

[hadoop@hadoop1 ~]$ ll
total 32
drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin
drwxrwxr-x 5 hadoop hadoop 4096 Apr 23 18:34 data
lrwxrwxrwx 1 hadoop hadoop 32 Apr 23 18:14 flume -> apache-flume-1.6.0-cdh5.5.4-bin/
lrwxrwxrwx 1 hadoop hadoop 22 Apr 23 09:08 hadoop -> hadoop-2.6.0-cdh5.5.4/
drwxr-xr-x 18 hadoop hadoop 4096 Apr 23 09:50 hadoop-2.6.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 21 Apr 23 16:55 hbase -> hbase-1.0.0-cdh5.5.4/
drwxr-xr-x 27 hadoop hadoop 4096 Apr 23 17:27 hbase-1.0.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 20 Apr 23 15:27 hive -> hive-1.1.0-cdh5.5.4/
drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
drwxr-xr-x 5 hadoop hadoop 4096 Sep 3 2015 kafka_2.11-0.8.2.2
lrwxrwxrwx. 1 hadoop hadoop 25 Apr 22 22:49 zookeeper -> zookeeper-3.4.5-cdh5.5.4/
drwxr-xr-x. 16 hadoop hadoop 4096 Apr 23 08:57 zookeeper-3.4.5-cdh5.5.4
[hadoop@hadoop1 ~]$ ln -s kafka_2.11-0.8.2.2/ kafka
[hadoop@hadoop1 ~]$ ll
total 32
drwxr-xr-x 8 hadoop hadoop 4096 Apr 26 2016 apache-flume-1.6.0-cdh5.5.4-bin
drwxrwxr-x 5 hadoop hadoop 4096 Apr 23 18:34 data
lrwxrwxrwx 1 hadoop hadoop 32 Apr 23 18:14 flume -> apache-flume-1.6.0-cdh5.5.4-bin/
lrwxrwxrwx 1 hadoop hadoop 22 Apr 23 09:08 hadoop -> hadoop-2.6.0-cdh5.5.4/
drwxr-xr-x 18 hadoop hadoop 4096 Apr 23 09:50 hadoop-2.6.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 21 Apr 23 16:55 hbase -> hbase-1.0.0-cdh5.5.4/
drwxr-xr-x 27 hadoop hadoop 4096 Apr 23 17:27 hbase-1.0.0-cdh5.5.4
lrwxrwxrwx 1 hadoop hadoop 20 Apr 23 15:27 hive -> hive-1.1.0-cdh5.5.4/
drwxr-xr-x 10 hadoop hadoop 4096 Apr 26 2016 hive-1.1.0-cdh5.5.4
lrwxrwxrwx. 1 hadoop hadoop 12 Apr 22 22:27 jdk -> jdk1.7.0_79/
drwxr-xr-x. 8 hadoop hadoop 4096 Apr 11 2015 jdk1.7.0_79
lrwxrwxrwx 1 hadoop hadoop 19 Apr 23 18:41 kafka -> kafka_2.11-0.8.2.2/
drwxr-xr-x 5 hadoop hadoop 4096 Sep 3 2015 kafka_2.11-0.8.2.2
lrwxrwxrwx. 1 hadoop hadoop 25 Apr 22 22:49 zookeeper -> zookeeper-3.4.5-cdh5.5.4/
drwxr-xr-x. 16 hadoop hadoop 4096 Apr 23 08:57 zookeeper-3.4.5-cdh5.5.4
[hadoop@hadoop1 ~]$

  hadoop2和hadoop3操作,不多赘述。

  环境变量

[hadoop@hadoop1 ~]$ su root
Password:
[root@hadoop1 hadoop]# vim /etc/profile

  hadoop2和hadoop3操作,不多赘述。

#kafka
export KAFKA_HOME=/home/hadoop/kafka
export PATH=$PATH:$KAFKA_HOME/bin

  hadoop2和hadoop3操作,不多赘述。

[hadoop@hadoop1 ~]$ su root
Password:
[root@hadoop1 hadoop]# vim /etc/profile
[root@hadoop1 hadoop]# source /etc/profile
[root@hadoop1 hadoop]#

  hadoop2和hadoop3操作,不多赘述。

  4.1 修改配置文件
  1. hadoop1 上修改 config/server.properties

export HBASE_MANAGES_ZK=false
broker.id=1
port=9092
host.name=hadoop1
log.dirs=/home/kafka-logs
num.partitions=5
log.cleaner.enable=false
offsets.storage=kafka
dual.commit.enabled=true
delete.topic.enable=true
zookeeper.connect=hadoop1:2181,hadoop2:2181,hadoop3:2181

2. hadoop2 上修改 config/server.properties

export HBASE_MANAGES_ZK=false
broker.id=2
port=9092
host.name=hadoop2
log.dirs=/home/kafka-logs
num.partitions=5
log.cleaner.enable=false
offsets.storage=kafka
dual.commit.enabled=true
delete.topic.enable=true
zookeeper.connect=hadoop1:2181,hadoop2:2181,hadoop3:2181

3. hadoop3 上修改 config/server.properties

export HBASE_MANAGES_ZK=false
broker.id=3
port=9092
host.name=hadoop3
log.dirs=/home/kafka-logs
num.partitions=5
log.cleaner.enable=false
offsets.storage=kafka
dual.commit.enabled=true
delete.topic.enable=true
zookeeper.connect=hadoop1:2181,hadoop2:2181,hadoop3:2181

创建目录

mkdir -p   /home/kafka-logs

  hadoop1、hadoop2和hadoop3都执行。

[hadoop@hadoop1 kafka]$ mkdir -p /home/kafka-logs
mkdir: cannot create directory `/home/kafka-logs': Permission denied
[hadoop@hadoop1 kafka]$ su root
Password:
[root@hadoop1 kafka]# mkdir -p /home/kafka-logs
[root@hadoop1 kafka]# chown -R hadoop:hadoop /home/kafka-logs
[root@hadoop1 kafka]# cd /home/
[root@hadoop1 home]# ll
total 8
drwx------. 26 hadoop hadoop 4096 Apr 23 21:18 hadoop
drwxr-xr-x 2 hadoop hadoop 4096 Apr 23 21:18 kafka-logs
[root@hadoop1 home]#

  注意:在CDH版本的,发行者已经帮我们解决了这个问题。Apache版本,需要解决

首先解决kafka Unrecognized VM option ‘UseCompressedOops’问题
vi /home/hadoop/kafka/bin/kafka-run-class.sh 
if [ -z "$KAFKA_JVM_PERFORMANCE_OPTS" ]; then
KAFKA_JVM_PERFORMANCE_OPTS="-server -XX:+UseCompressedOops -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:+CMSClassUnloadingEnabled -XX:+CMSScavengeBeforeRemark -XX:+DisableExplicitGC -Djava.awt.headless=true"
fi
 
 

去掉-XX:+UseCompressedOops即可

[hadoop@hadoop1 bin]$ pwd
/home/hadoop/kafka/bin
[hadoop@hadoop1 bin]$ ll
total 80
-rwxr-xr-x 1 hadoop hadoop 943 Sep 3 2015 kafka-console-consumer.sh
-rwxr-xr-x 1 hadoop hadoop 942 Sep 3 2015 kafka-console-producer.sh
-rwxr-xr-x 1 hadoop hadoop 870 Sep 3 2015 kafka-consumer-offset-checker.sh
-rwxr-xr-x 1 hadoop hadoop 946 Sep 3 2015 kafka-consumer-perf-test.sh
-rwxr-xr-x 1 hadoop hadoop 860 Sep 3 2015 kafka-mirror-maker.sh
-rwxr-xr-x 1 hadoop hadoop 884 Sep 3 2015 kafka-preferred-replica-election.sh
-rwxr-xr-x 1 hadoop hadoop 946 Sep 3 2015 kafka-producer-perf-test.sh
-rwxr-xr-x 1 hadoop hadoop 872 Sep 3 2015 kafka-reassign-partitions.sh
-rwxr-xr-x 1 hadoop hadoop 866 Sep 3 2015 kafka-replay-log-producer.sh
-rwxr-xr-x 1 hadoop hadoop 872 Sep 3 2015 kafka-replica-verification.sh
-rwxr-xr-x 1 hadoop hadoop 4185 Sep 3 2015 kafka-run-class.sh
-rwxr-xr-x 1 hadoop hadoop 1333 Sep 3 2015 kafka-server-start.sh
-rwxr-xr-x 1 hadoop hadoop 891 Sep 3 2015 kafka-server-stop.sh
-rwxr-xr-x 1 hadoop hadoop 868 Sep 3 2015 kafka-simple-consumer-shell.sh
-rwxr-xr-x 1 hadoop hadoop 861 Sep 3 2015 kafka-topics.sh
drwxr-xr-x 2 hadoop hadoop 4096 Sep 3 2015 windows
-rwxr-xr-x 1 hadoop hadoop 1370 Sep 3 2015 zookeeper-server-start.sh
-rwxr-xr-x 1 hadoop hadoop 875 Sep 3 2015 zookeeper-server-stop.sh
-rwxr-xr-x 1 hadoop hadoop 968 Sep 3 2015 zookeeper-shell.sh
[hadoop@hadoop1 bin]$ vim kafka-run-class.sh

  这里,不需自己去解决。

  在三台机器上的kafka目录下,分别执行以下命令

nohup bin/kafka-server-start.sh config/server.properties &

[hadoop@hadoop1 kafka]$ pwd
/home/hadoop/kafka
[hadoop@hadoop1 kafka]$ nohup bin/kafka-server-start.sh config/server.properties &
[1] 15091
[hadoop@hadoop1 kafka]$ nohup: ignoring input and appending output to `nohup.out' [1]+ Exit 1 nohup bin/kafka-server-start.sh config/server.properties
[hadoop@hadoop1 kafka]$

  出现以下提示后回车即可。

查看状态

cat nohup.out

[2017-04-23 21:23:35,304] INFO Client environment:java.vendor=Oracle Corporation (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,304] INFO Client environment:java.home=/home/hadoop/jdk1.7.0_79/jre (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,304] INFO Client environment:java.class.path=.:/home/hadoop/jdk/lib/dt.jar:/home/hadoop/jdk/lib/tools.jar:/home/hadoop/kafka/bin/../core/build/dependant-libs-2.10.4*/*.jar:/home/hadoop/kafka/bin/../examples/build/libs//kafka-examples*.jar:/home/hadoop/kafka/bin/../contrib/hadoop-consumer/build/libs//kafka-hadoop-consumer*.jar:/home/hadoop/kafka/bin/../contrib/hadoop-producer/build/libs//kafka-hadoop-producer*.jar:/home/hadoop/kafka/bin/../clients/build/libs/kafka-clients*.jar:/home/hadoop/kafka/bin/../libs/jopt-simple-3.2.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-javadoc.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-scaladoc.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-sources.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-test.jar:/home/hadoop/kafka/bin/../libs/kafka-clients-0.8.2.2.jar:/home/hadoop/kafka/bin/../libs/log4j-1.2.16.jar:/home/hadoop/kafka/bin/../libs/lz4-1.2.0.jar:/home/hadoop/kafka/bin/../libs/metrics-core-2.2.0.jar:/home/hadoop/kafka/bin/../libs/scala-library-2.11.5.jar:/home/hadoop/kafka/bin/../libs/scala-parser-combinators_2.11-1.0.2.jar:/home/hadoop/kafka/bin/../libs/scala-xml_2.11-1.0.2.jar:/home/hadoop/kafka/bin/../libs/slf4j-api-1.7.6.jar:/home/hadoop/kafka/bin/../libs/slf4j-log4j12-1.6.1.jar:/home/hadoop/kafka/bin/../libs/snappy-java-1.1.1.7.jar:/home/hadoop/kafka/bin/../libs/zkclient-0.3.jar:/home/hadoop/kafka/bin/../libs/zookeeper-3.4.6.jar:/home/hadoop/kafka/bin/../core/build/libs/kafka_2.10*.jar (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,304] INFO Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,304] INFO Client environment:java.io.tmpdir=/tmp (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,304] INFO Client environment:java.compiler=<NA> (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,305] INFO Client environment:os.name=Linux (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,305] INFO Client environment:os.arch=amd64 (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,305] INFO Client environment:os.version=2.6.32-431.el6.x86_64 (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,305] INFO Client environment:user.name=hadoop (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,305] INFO Client environment:user.home=/home/hadoop (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,305] INFO Client environment:user.dir=/home/hadoop/kafka_2.11-0.8.2.2 (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,308] INFO Initiating client connection, connectString=hadoop1:2181,hadoop2:2181,hadoop3:2181 sessionTimeout=6000 watcher=org.I0Itec.zkclient.ZkClient@31dbfb7a (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:23:35,391] INFO Opening socket connection to server hadoop1/192.168.80.121:2181. Will not attempt to authenticate using SASL (unknown error) (org.apache.zookeeper.ClientCnxn)
[2017-04-23 21:23:35,410] INFO Socket connection established to hadoop1/192.168.80.121:2181, initiating session (org.apache.zookeeper.ClientCnxn)
[2017-04-23 21:23:35,530] INFO Session establishment complete on server hadoop1/192.168.80.121:2181, sessionid = 0x15b99fea1e10012, negotiated timeout = 6000 (org.apache.zookeeper.ClientCnxn)
[2017-04-23 21:23:35,542] INFO zookeeper state changed (SyncConnected) (org.I0Itec.zkclient.ZkClient)
[2017-04-23 21:23:36,009] INFO Loading logs. (kafka.log.LogManager)
[2017-04-23 21:23:36,069] INFO Logs loading complete. (kafka.log.LogManager)
[2017-04-23 21:23:36,072] INFO Starting log cleanup with a period of 300000 ms. (kafka.log.LogManager)
[2017-04-23 21:23:36,110] INFO Starting log flusher with a default period of 9223372036854775807 ms. (kafka.log.LogManager)
[2017-04-23 21:23:36,333] INFO Awaiting socket connections on hadoop1:9092. (kafka.network.Acceptor)
[2017-04-23 21:23:36,340] INFO [Socket Server on Broker 1], Started (kafka.network.SocketServer)
[hadoop@hadoop1 kafka]$

r:/home/hadoop/kafka/bin/../examples/build/libs//kafka-examples*.jar:/home/hadoop/kafka/bin/../contrib/hadoop-consumer/build/libs//kafka-hadoop-consumer*.jar:/home/hadoop/kafka/bin/../contrib/hadoop-producer/build/libs//kafka-hadoop-producer*.jar:/home/hadoop/kafka/bin/../clients/build/libs/kafka-clients*.jar:/home/hadoop/kafka/bin/../libs/jopt-simple-3.2.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-javadoc.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-scaladoc.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-sources.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-test.jar:/home/hadoop/kafka/bin/../libs/kafka-clients-0.8.2.2.jar:/home/hadoop/kafka/bin/../libs/log4j-1.2.16.jar:/home/hadoop/kafka/bin/../libs/lz4-1.2.0.jar:/home/hadoop/kafka/bin/../libs/metrics-core-2.2.0.jar:/home/hadoop/kafka/bin/../libs/scala-library-2.11.5.jar:/home/hadoop/kafka/bin/../libs/scala-parser-combinators_2.11-1.0.2.jar:/home/hadoop/kafka/bin/../libs/scala-xml_2.11-1.0.2.jar:/home/hadoop/kafka/bin/../libs/slf4j-api-1.7.6.jar:/home/hadoop/kafka/bin/../libs/slf4j-log4j12-1.6.1.jar:/home/hadoop/kafka/bin/../libs/snappy-java-1.1.1.7.jar:/home/hadoop/kafka/bin/../libs/zkclient-0.3.jar:/home/hadoop/kafka/bin/../libs/zookeeper-3.4.6.jar:/home/hadoop/kafka/bin/../core/build/libs/kafka_2.10*.jar (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,857] INFO Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,857] INFO Client environment:java.io.tmpdir=/tmp (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,857] INFO Client environment:java.compiler=<NA> (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,858] INFO Client environment:os.name=Linux (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,858] INFO Client environment:os.arch=amd64 (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,858] INFO Client environment:os.version=2.6.32-431.el6.x86_64 (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,858] INFO Client environment:user.name=hadoop (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,858] INFO Client environment:user.home=/home/hadoop (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,858] INFO Client environment:user.dir=/home/hadoop/kafka_2.11-0.8.2.2 (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:34,862] INFO Initiating client connection, connectString=hadoop1:2181,hadoop2:2181,hadoop3:2181 sessionTimeout=6000 watcher=org.I0Itec.zkclient.ZkClient@3764253e (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:25:35,713] INFO Opening socket connection to server hadoop3/192.168.80.123:2181. Will not attempt to authenticate using SASL (unknown error) (org.apache.zookeeper.ClientCnxn)
[2017-04-23 21:25:35,811] INFO Socket connection established to hadoop3/192.168.80.123:2181, initiating session (org.apache.zookeeper.ClientCnxn)
[2017-04-23 21:25:35,884] INFO Session establishment complete on server hadoop3/192.168.80.123:2181, sessionid = 0x35b99ff49bf0012, negotiated timeout = 6000 (org.apache.zookeeper.ClientCnxn)
[2017-04-23 21:25:35,890] INFO zookeeper state changed (SyncConnected) (org.I0Itec.zkclient.ZkClient)
[2017-04-23 21:25:37,146] INFO Loading logs. (kafka.log.LogManager)
[2017-04-23 21:25:37,243] INFO Logs loading complete. (kafka.log.LogManager)
[2017-04-23 21:25:37,245] INFO Starting log cleanup with a period of 300000 ms. (kafka.log.LogManager)
[2017-04-23 21:25:37,300] INFO Starting log flusher with a default period of 9223372036854775807 ms. (kafka.log.LogManager)
[2017-04-23 21:25:37,798] INFO Awaiting socket connections on hadoop2:9092. (kafka.network.Acceptor)
[2017-04-23 21:25:37,803] INFO [Socket Server on Broker 2], Started (kafka.network.SocketServer)
[2017-04-23 21:25:39,744] INFO Will not load MX4J, mx4j-tools.jar is not in the classpath (kafka.utils.Mx4jLoader$)
[2017-04-23 21:25:42,084] INFO Registered broker 2 at path /brokers/ids/2 with address hadoop2:9092. (kafka.utils.ZkUtils$)
[2017-04-23 21:25:42,520] INFO [Kafka Server 2], started (kafka.server.KafkaServer)
[hadoop@hadoop2 kafka]$

r:/home/hadoop/kafka/bin/../examples/build/libs//kafka-examples*.jar:/home/hadoop/kafka/bin/../contrib/hadoop-consumer/build/libs//kafka-hadoop-consumer*.jar:/home/hadoop/kafka/bin/../contrib/hadoop-producer/build/libs//kafka-hadoop-producer*.jar:/home/hadoop/kafka/bin/../clients/build/libs/kafka-clients*.jar:/home/hadoop/kafka/bin/../libs/jopt-simple-3.2.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-javadoc.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-scaladoc.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-sources.jar:/home/hadoop/kafka/bin/../libs/kafka_2.11-0.8.2.2-test.jar:/home/hadoop/kafka/bin/../libs/kafka-clients-0.8.2.2.jar:/home/hadoop/kafka/bin/../libs/log4j-1.2.16.jar:/home/hadoop/kafka/bin/../libs/lz4-1.2.0.jar:/home/hadoop/kafka/bin/../libs/metrics-core-2.2.0.jar:/home/hadoop/kafka/bin/../libs/scala-library-2.11.5.jar:/home/hadoop/kafka/bin/../libs/scala-parser-combinators_2.11-1.0.2.jar:/home/hadoop/kafka/bin/../libs/scala-xml_2.11-1.0.2.jar:/home/hadoop/kafka/bin/../libs/slf4j-api-1.7.6.jar:/home/hadoop/kafka/bin/../libs/slf4j-log4j12-1.6.1.jar:/home/hadoop/kafka/bin/../libs/snappy-java-1.1.1.7.jar:/home/hadoop/kafka/bin/../libs/zkclient-0.3.jar:/home/hadoop/kafka/bin/../libs/zookeeper-3.4.6.jar:/home/hadoop/kafka/bin/../core/build/libs/kafka_2.10*.jar (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,239] INFO Client environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,240] INFO Client environment:java.io.tmpdir=/tmp (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,240] INFO Client environment:java.compiler=<NA> (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,241] INFO Client environment:os.name=Linux (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,241] INFO Client environment:os.arch=amd64 (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,241] INFO Client environment:os.version=2.6.32-431.el6.x86_64 (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,241] INFO Client environment:user.name=hadoop (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,241] INFO Client environment:user.home=/home/hadoop (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,241] INFO Client environment:user.dir=/home/hadoop/kafka_2.11-0.8.2.2 (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:10,244] INFO Initiating client connection, connectString=hadoop1:2181,hadoop2:2181,hadoop3:2181 sessionTimeout=6000 watcher=org.I0Itec.zkclient.ZkClient@3764253e (org.apache.zookeeper.ZooKeeper)
[2017-04-23 21:26:11,052] INFO Opening socket connection to server hadoop3/192.168.80.123:2181. Will not attempt to authenticate using SASL (unknown error) (org.apache.zookeeper.ClientCnxn)
[2017-04-23 21:26:11,080] INFO Socket connection established to hadoop3/192.168.80.123:2181, initiating session (org.apache.zookeeper.ClientCnxn)
[2017-04-23 21:26:11,370] INFO Session establishment complete on server hadoop3/192.168.80.123:2181, sessionid = 0x35b99ff49bf0013, negotiated timeout = 6000 (org.apache.zookeeper.ClientCnxn)
[2017-04-23 21:26:11,505] INFO zookeeper state changed (SyncConnected) (org.I0Itec.zkclient.ZkClient)
[2017-04-23 21:26:12,561] INFO Loading logs. (kafka.log.LogManager)
[2017-04-23 21:26:12,698] INFO Logs loading complete. (kafka.log.LogManager)
[2017-04-23 21:26:12,702] INFO Starting log cleanup with a period of 300000 ms. (kafka.log.LogManager)
[2017-04-23 21:26:12,918] INFO Starting log flusher with a default period of 9223372036854775807 ms. (kafka.log.LogManager)
[2017-04-23 21:26:14,277] INFO Awaiting socket connections on hadoop3:9092. (kafka.network.Acceptor)
[2017-04-23 21:26:14,623] INFO [Socket Server on Broker 3], Started (kafka.network.SocketServer)
[2017-04-23 21:26:17,519] INFO Will not load MX4J, mx4j-tools.jar is not in the classpath (kafka.utils.Mx4jLoader$)
[2017-04-23 21:26:19,961] INFO Registered broker 3 at path /brokers/ids/3 with address hadoop3:9092. (kafka.utils.ZkUtils$)
[2017-04-23 21:26:20,172] INFO [Kafka Server 3], started (kafka.server.KafkaServer)
[hadoop@hadoop3 kafka]$

  至此,kafka_2.11-0.8.2.2.tgz的3节点集群的搭建完成!

扩展补充

kafka的server.properties配置文件参考示范(图文详解)(多种方式)

kafka_2.11-0.8.2.2.tgz的3节点集群的下载、安装和配置(图文详解)的更多相关文章

  1. kafka_2.10-0.8.1.1.tgz的1或3节点集群的下载、安装和配置(图文详细教程)绝对干货

    运行kafka ,需要依赖 zookeeper,你可以使用已有的 zookeeper 集群或者利用 kafka自带的zookeeper. 单机模式,用的是kafka自带的zookeeper, 分布式模 ...

  2. Hyperledger Fabric 1.0 从零开始(九)——Fabric多节点集群生产启动

    7:Fabric多节点集群生产启动 7.1.多节点服务器配置 在生产环境上,我们沿用4.1.配置说明中的服务器各节点配置方案. 我们申请了五台生产服务器,其中四台服务器运行peer节点,另外一台服务器 ...

  3. redis3.0 集群实战1 -- 安装和配置

    本文主要是在centos7上安装和配置redis集群实战 参考: http://hot66hot.iteye.com/blog/2050676 集群教程: http://redisdoc.com/to ...

  4. ansys19.0安装破解教程(图文详解)

    ansys19.0是一款非常著名的大型通用有限元分析(FEA)软件.该软件能够与多数计算机辅助设计软件接口,比如Creo, NASTRAN.Algor.I-DEAS.AutoCAD等,并能实现数据的共 ...

  5. creo2.0安装方法和图文详解教程

    Creo2.0是由PTC公司2012年8月底推出的全新CAD设计软件包,整合了PTC公司的三个软件Pro/Engineer的参数化技术.CoCreate的直接建模技术和ProductView的三维可视 ...

  6. Hyperledger Fabric 1.0 从零开始(八)——Fabric多节点集群生产部署

    6.1.平台特定使用的二进制文件配置 该方案与Hyperledger Fabric 1.0 从零开始(五)--运行测试e2e类似,根据企业需要,可以控制各节点的域名,及联盟链的统一域名.可以指定单独节 ...

  7. hadoop-2.6.0.tar.gz + spark-1.6.1-bin-hadoop2.6.tgz + zeppelin-0.5.6-incubating-bin-all.tgz(master、slave1和slave2)(博主推荐)(图文详解)

    不多说,直接上干货! 我这里,采取的是CentOS6.5,当然大家也可以在ubuntu 16.04系统里,这些都是小事 CentOS 6.5的安装详解 hadoop-2.6.0.tar.gz + sp ...

  8. hadoop-2.7.3.tar.gz + spark-2.0.2-bin-hadoop2.7.tgz + zeppelin-0.6.2-incubating-bin-all.tgz(master、slave1和slave2)(博主推荐)(图文详解)

    不多说,直接上干货! 我这里,采取的是ubuntu 16.04系统,当然大家也可以在CentOS6.5里,这些都是小事 CentOS 6.5的安装详解 hadoop-2.6.0.tar.gz + sp ...

  9. 基于Web的Kafka管理器工具之Kafka-manager的编译部署详细安装 (支持kafka0.8、0.9和0.10以后版本)(图文详解)(默认端口或任意自定义端口)

    不多说,直接上干货! 至于为什么,要写这篇博客以及安装Kafka-manager? 问题详情 无奈于,在kafka里没有一个较好自带的web ui.启动后无法观看,并且不友好.所以,需安装一个第三方的 ...

随机推荐

  1. codeforces Educational Codeforces Round 39 (Rated for Div. 2) D

    D. Timetable time limit per test 2 seconds memory limit per test 256 megabytes input standard input ...

  2. nyoj_308_Substring_201405091611

    Substring 时间限制:1000 ms  |           内存限制:65535 KB 难度:1   描述 You are given a string input. You are to ...

  3. cogs——73. 找最佳通路

    73. 找最佳通路 ★☆   输入文件:city.in   输出文件:city.out   简单对比时间限制:1 s   内存限制:128 MB 问题描述有 n 个 城市,它们之间的交通情况已知.现在 ...

  4. mysql 安装与卸载

    mysql用了也好几年了,但每次安装完或者卸载完就忘记了安装步骤以及卸载步骤,因此将关键的步骤记录下来,供以后参考. 1.mysql安装 ①安装类型有typical,complete,custom,一 ...

  5. 所有的异常都要使用try catch 语句捕获?

    在开发应用程序过程中必须检测代码可能发生的错误并进行正确的处理,这个在理想的情况下,应用程序中的每行 代码都按照预想的执行,要用到的每种资源总是可以利用,但是在实际的开发过程中,写代码难免会出错,或是 ...

  6. neutron trouble shooting - ip can not ping

    neutron创建了一个router后,显示列表如下: [root@controller01 keystone]# neutron router-port-list router +--------- ...

  7. 实战恢复2950交换机的IOS

    本来想用两台交换机做实验的,可是通过console口进入其中一台交换机后却发现这个台交换器的IOS文件丢失了 本来正常进入交换机后应该是首先进入到用户模式的,而且提示符应该是">&qu ...

  8. Struts2.3动态调用报 No result defined for action 错误

    struts 2.3.16  採用动态调用发现不工作报404 not found,网上查找原因: 1.由于:struts2中默认不同意使用DMI 所以:须要在配置文件里打开: <constant ...

  9. dotNet Core初学之创建第一个dotNetCore项目

    首先创建解决方案dotNetCrazy 一.创建项目 1.这里选择.Net Core 选择ASP.NET Core Web 应用程序 名称暂且叫CoreCrazy 这里我们选择 web应用程序(模型视 ...

  10. Servlet之中文乱码问题【入门版】

    请求数据的中文问题 1 post请求提交中文 get请求建议不提交中文(只是也有方法解决) 1.1post request.setCharacterEncoding("utf-8" ...