集群配置虚拟主机及部署Hadoop集群碰到的问题
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配置集群方案
Ubuntu下的配置apache虚拟主机方案:
对其中的Master节点配置虚拟主机，可以通过Chrome浏览器访问目录。
安装虚拟主机之前，先安装Apache2
sudo apt-get install apache2
再安装php5
sudo apt-get install php5
然后，进入 /etc/apache2/sites-available文件夹，添加”*.conf”文件
往该文件里写入
<VirtualHost *:80> ServerName author.xxx.com ServerAdmin author.xxx.com DocumentRoot "/home/author" <Directory "/home/author"> Options Indexes AllowOverride all Order allow,deny IndexOptions Charset=UTF-8 Allow from all Require all granted </Directory> <ifModule dir_module> DirectoryIndex index.html </ifModule> ErrorLog ${APACHE_LOG_DIR}/authors_errors.log CustomLog ${APACHE_LOG_DIR}/authors_access.log combined </VirtualHost>
这样的结果是，当Url中访问author.xxx.com时，是有文件夹的树状列表显示的。如果想关掉树状列表显示(为了安全)，可以将
Options Indexes IndexOptions Charset=UTF-8
改成
Options FollowSymLinks
这边
paul_errors.log
paul_access.log
都位于 /usr/log/apache2中，可以查看apache的日志，用root权限。
配置文件完成之后，则设置的配置文件运行以下命令：
sudo a2ensite xxx.conf
sudo /etc/init.d/apache2 restart
mac下的配置apache虚拟主机方案:
前面基本一致，除了重新启动配置文件不同:
sudo apachectl -v //查看apache版本 sudo apachectl -t //查看虚拟文件配置是否语法正确 sudo apachectl -k restart //重新启动Apache
hadoop部署集群碰到问题(版本为2.7及以上)
该搭建集群具体参数参考本主上一篇文章“机房4台服务器集群网络配置"
在Master上执行下列查看语句之后，出现如下错误
hdfs dfsadmin -report
Configured Capacity: 0 (0 B) Present Capacity: 0 (0 B) DFS Remaining: 0 (0 B) DFS Used: 0 (0 B) DFS Used%: NaN% Under replicated blocks: 0 Blocks with corrupt replicas: 0 Missing blocks: 0 Missing blocks (with replication factor 1):
所有值都为0，且得不到其他slave1,slave2,slave3的反馈消息。
解决方法：
mkdir /home/hadoop/usr/hadoop/conf
新建配置文件夹
文件夹下放入以下配置文件
core-site.xml
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <property> <name>hadoop.tmp.dir</name> <value>/usr/hadoop/tmp</value> <description>A base for other temporary directories.</description> </property> <!--file system properties--> <property> <name>fs.default.name</name> <value>hdfs://192.168.223.1:9000</value> </property> </configuration>
hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <property> <name>dfs.replication</name> <value>1</value> </property> </configuration>
mapred-site.xml(老版本下job,task配置)
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <property> <name>mapred.job.tracker</name> <value>http://192.168.223.1:9001</value> </property> </configuration>
mapred-site.xml(使用hadoop2.2之后的配置)
<configuration> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> </configuration>
yarn-site.xml(Master下的配置文件)
<?xml version="1.0" encoding="UTF-8"?> <configuration> <property> <name>yarn.resourcemanager.hostname</name> <value>resourcemanager.company.com</value> </property> <property> <description>Classpath for typical applications.</description> <name>yarn.application.classpath</name> <value> $HADOOP_CONF_DIR, $HADOOP_COMMON_HOME/*,$HADOOP_COMMON_HOME/lib*/, $HADOOP_HDFS_HOME/*,$HADOOP_HDFS_HOME/lib/*, $HADOOP_MAPRED_HOME/*,$HADOOP_MAPRED_HOME/lib/*, $HADOOP_YARN_HOME/*,$HADOOP_YARN_HOME/lib/* </value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
<property>
<name>yarn.nodemanager.local-dirs</name>
<value>file:///data/1/yarn/local,file:///data/2/yarn/local,file:///data/3/yarn/local</value>
</property>
<property>
<name>yarn.nodemanager.log-dirs</name>
<value>file:///data/1/yarn/logs,file:///data/2/yarn/logs,file:///data/3/yarn/logs</value>
</property>
<property>
<name>yarn.log.aggregation-enable</name>
<value>true</value>
</property>
<property>
<description>Where to aggregate logs</description>
<name>yarn.nodemanager.remote-app-log-dir</name>
<value>hdfs://<namenode-host.company.com>:8020/var/log/hadoop-yarn/apps</value>
</property><!-- Site specific YARN configuration properties --></configuration>
为了配合yarn-site.xml中的配置，需要配置
- 创建 yarn.nodemanager.local-dirs 本地目录：
$ sudo mkdir -p /data/1/yarn/local /data/2/yarn/local /data/3/yarn/local /data/4/yarn/local
- 创建 yarn.nodemanager.log-dirs 本地目录：
$ sudo mkdir -p /data/1/yarn/logs /data/2/yarn/logs /data/3/yarn/logs /data/4/yarn/logs
-
将 yarn.nodemanager.local-dirs 目录的所有者配置为 hadoop 用户：
$ sudo chown -R hadoop:hadoop /data/1/yarn/local /data/2/yarn/local /data/3/yarn/local /data/4/yarn/local
-
将 yarn.nodemanager.log-dirs 目录的所有者配置为 hadoop 用户：
$ sudo chown -R hadoop:hadoop /data/1/yarn/logs /data/2/yarn/logs /data/3/yarn/logs /data/4/yarn/logs
yarn-site.xml在slave中的配置,用于与master节点通信，所以IP与端口号都是master节点的:
<?xml version="1.0"?> <configuration> <property> <name> yarn.nodemanager.aux-services </name> <value> mapreduce_shuffle </value> </property> <property> <name> yarn.nodemanager.auxservices.mapreduce.shuffle.class </name> <value> org.apache.hadoop.mapred.ShuffleHandler </value> </property> <property> <name> yarn.resourcemanager.address </name> <value> 192.168.223.1:8032 </value> </property> <property> <name> yarn.resourcemanager.scheduler.address </name> <value> 192.168.223.1:8030 </value> </property> <property> <name> yarn.resourcemanager.resource-tracker.address </name> <value> 192.168.223.1:8031 </value> </property> <property> <name> yarn.resourcemanager.hostname </name> <value> 192.168.223.1 </value> </property> <!-- Site specific YARN configuration properties --> </configuration>
master
192.168.223.1
slaves(在master节点上的配置文件相应ip地方换上以下相应的ip)
192.168.223.2 192.168.223.3 192.168.223.4
slaves(在slave节点上的配置文件)
localhost
启动方法如下：
hadoop@master:/usr/hadoop$hadoop namenode -format hadoop@master:/usr/hadoop$sbin/start-all.sh(如果已经启动，则先运行sbin/stop-all.sh)
查看方法(执行以下命令)
hadoop@master:/usr/hadoop$hdfs dfsadmin -report
得到如下结果，则表示安装正确
Configured Capacity: 4958160830464 (4.51 TB) Present Capacity: 4699621490688 (4.27 TB) DFS Remaining: 4699621404672 (4.27 TB) DFS Used: 86016 (84 KB) DFS Used%: 0.00% Under replicated blocks: 0 Blocks with corrupt replicas: 0 Missing blocks: 0 Missing blocks (with replication factor 1): 0 ------------------------------------------------- Live datanodes (3): Name: 192.168.223.3:50010 (slave3) Hostname: slave3 Decommission Status : Normal Configured Capacity: 1697554399232 (1.54 TB) DFS Used: 28672 (28 KB) Non DFS Used: 88462258176 (82.39 GB) DFS Remaining: 1609092112384 (1.46 TB) DFS Used%: 0.00% DFS Remaining%: 94.79% Configured Cache Capacity: 0 (0 B) Cache Used: 0 (0 B) Cache Remaining: 0 (0 B) Cache Used%: 100.00% Cache Remaining%: 0.00% Xceivers: 1 Last contact: Sat Nov 14 21:40:02 CST 2015 Name: 192.168.223.2:50010 (slave2) Hostname: slave2 Decommission Status : Normal Configured Capacity: 1697938153472 (1.54 TB) DFS Used: 28672 (28 KB) Non DFS Used: 88474435584 (82.40 GB) DFS Remaining: 1609463689216 (1.46 TB) DFS Used%: 0.00% DFS Remaining%: 94.79% Configured Cache Capacity: 0 (0 B) Cache Used: 0 (0 B) Cache Remaining: 0 (0 B) Cache Used%: 100.00% Cache Remaining%: 0.00% Xceivers: 1 Last contact: Sat Nov 14 21:40:02 CST 2015 Name: 192.168.223.4:50010 (slave4) Hostname: slave4 Decommission Status : Normal Configured Capacity: 1562668277760 (1.42 TB) DFS Used: 28672 (28 KB) Non DFS Used: 81602646016 (76.00 GB) DFS Remaining: 1481065603072 (1.35 TB) DFS Used%: 0.00% DFS Remaining%: 94.78% Configured Cache Capacity: 0 (0 B) Cache Used: 0 (0 B) Cache Remaining: 0 (0 B) Cache Used%: 100.00% Cache Remaining%: 0.00% Xceivers: 1 Last contact: Sat Nov 14 21:40:02 CST 2015
创建HDFS文件系统的命令
hadoop fs -mkdir -p /user/[current login user]
创建完HDFS文件系统用户之后，你就可以访问HDFS文件系统，具体对HDFS分布式文件系统的命令请参考以下网址
网页访问hadoop当前性能
http://10.1.8.200:50070/(这边的ip为外网访问master节点的ip，读者自己设置自己的ip)
如下图所示：
具体安装则参考网址
从 MapReduce 1 (MRv1) 迁移到 MapReduce 2 (MRv2, YARN)
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