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

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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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

[bzoj1014][JSOI2008]火星人prefix_非旋转Treap_hash_二分
火星人prefix bzoj-1014 JSOI-2004 题目大意:给定一个字符串,支持三种操作:1.查询:两个后缀之间的$LCP$:2.单点修改:3.插入一个字符. 注释:$1\le n\le 1 ...
洛谷 P1708 天然气井
P1708 天然气井题目描述 Mary试图控制成都的天然气市场.专家已经标示出了最好的天然气井和中转站在成都的地图.现在需要将中转站和天然气井连接起来.每个中转站必须被连接到正好一个钻油井,反之亦然 ...
mybatis返回list很智能很简答的，只需要配置resultmap进行类型转换，你dao方法直接写返回值list<对应的object>就行了啊
mybatis返回list很智能很简答的,只需要配置resultmap进行类型转换,你dao方法直接写返回值list<对应的object>就行了啊 dao方法 public List< ...
CSS （二）解析CSS盒子
话说.一写博客还有些莫名的兴奋感-- 这几天一直挤时间忙于赶牛腩视频,迟到的CSS盒子.请谅解. CSS盒子,一開始听起来还有点高大上的赶脚. 后来了解之后,发现事实上非常easy理解.从功能上讲非常 ...
蓝桥杯地宫寻宝带缓存的DFS
历届试题地宫取宝时间限制:1.0s 内存限制:256.0MB 问题描写叙述 X 国王有一个地宫宝库. 是 n x m 个格子的矩阵. 每一个格子放一件宝贝. 每一个宝贝贴着价 ...
【面试加分项】java自己定义注解之解析注解
我之前的博客中说明过自己定义注解的声明今天我们来看看怎样对我们自己定义的注解进行使用. 1.我们在程序中使用我们的注解. 上一篇中我们自己定义了一个注解: @Target(ElementType.FI ...
Codeforces Round #337 (Div. 2) 610B Vika and Squares(脑洞)
B. Vika and Squares time limit per test 2 seconds memory limit per test 256 megabytes input standard ...
嵌入式开发之cmos---前端采集aptina cmos
http://wenku.baidu.com/link?url=NFl5ye1-o5GNMVGmxBmot1v1HQBOZRA2xo7__sgxxLnpHqodpqtfIW_pf4QNGRX4u8n8 ...
iOS 多线程,ARC
iOS自己创建的线程需要自己定时的创建autorelease pools,否则对象不能及时自动释放. 方法1是不对的,while中的对象会无法及时释放. 1:-(void)Thread{ @autor ...
srcset
<div id="pg-334-2" class="panel-grid panel-has-style"> <div style=" ...

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）

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

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

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

随机推荐

热门专题