Hadoop与Hbase基本配置

在经历了几周的努力之后，终于选择放弃现在安装的稳定版本，转而安装旧版本来部署Sleuthkit-Hadp系统。直到昨天，自己还一直为Inconsistent configuration的错误头疼不已。既然同事的版本已经装成功了，那自己也就先用跑通的系统试一下吧，毕竟先放下再回来看现在的问题可能有更好的解决思路吧。今天开始正式重新部署SH系统的第一步，安装Hadoop与Hbase。之前的安装笔记比较凌乱，今天借着这样的机会把整个步骤重新梳理一遍。

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一、安装Hadoop
     自己使用的软件版本是hadoop-1.0.3，比较早的一个版本，可以去hadoop的官方网站去下载。在安装hadoop以前首先要设置系统环境：
<1> 安装java-1.6版本，之前自己安装的java-1.7，但是没有成功，不晓得是不是java版本的缘故；无论如何，这次自己选择了比较保守的方案，从oracle官方注册后下载jdk-6u45-linux-i586.bin后解包得到【jdk-1.6.0_45】。注意到这里都是bin文件，因此需要chmod该文件以775的可执行权限，然后./filename.bin即可；
<2> 安装ssh，并且设置ssh无密码登录hadoop
<2.1>运行sudo apt-get install ssh/rsync，运行sudo apt-get install openjava1.6-jdk (for jps command)
<2.2>配置ssh本机免口令登录主要有两步：
运行ssh-keygen -t dsa -P '' -f /.ssh/id_dsa
   -t用来指定加密算法，可以选择dsa和rsa两种加密方式；
   -P用来指定密码，两个单引号表示空密码''；
   -f用来指定存放密钥的文件
运行cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys
   这一步将公钥添加进本机的authorized_keys中，完成这两步后可以ssh localhost验证是否成功。接下来需要进入已经解好的hadoop-1.0.3中进行配置。hadoop的伪分布模式主要需要配置以下几个配置文件：
<3>conf/hbase-env.sh：主要用来配置hadoop的运行环境，这里需要修改JAVA_HOME到你的jdk1.6目录（见黑体）

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#Set Hadoop-specific environment variables here.

# The only required environment variable is JAVA_HOME. All others are

# optional. When running a distributed configuration it is best to

# set JAVA_HOME in this file, so that it is correctly defined on

# remote nodes.

# The java implementation to use. Required.

export JAVA_HOME=/home/hadoop/platform/jdk1.6.0_45

# Extra Java CLASSPATH elements. Optional.

# export HADOOP_CLASSPATH=

# The maximum amount of heap to use, in MB. Default is 1000.

# export HADOOP_HEAPSIZE=2000

# Extra Java runtime options. Empty by default.

# export HADOOP_OPTS=-server

# Command specific options appended to HADOOP_OPTS when specified

export HADOOP_NAMENODE_OPTS="-Dcom.sun.management.jmxremote $HADOOP_NAMENODE_OPTS"

export HADOOP_SECONDARYNAMENODE_OPTS="-Dcom.sun.management.jmxremote $HADOOP_SECONDARYNAMENODE_OPTS"

export HADOOP_DATANODE_OPTS="-Dcom.sun.management.jmxremote $HADOOP_DATANODE_OPTS"

export HADOOP_BALANCER_OPTS="-Dcom.sun.management.jmxremote $HADOOP_BALANCER_OPTS"

export HADOOP_JOBTRACKER_OPTS="-Dcom.sun.management.jmxremote $HADOOP_JOBTRACKER_OPTS"

# export HADOOP_TASKTRACKER_OPTS=

# The following applies to multiple commands (fs, dfs, fsck, distcp etc)

# export HADOOP_CLIENT_OPTS

# Extra ssh options. Empty by default.

# export HADOOP_SSH_OPTS="-o ConnectTimeout=1 -o SendEnv=HADOOP_CONF_DIR"

# Where log files are stored. $HADOOP_HOME/logs by default.

# export HADOOP_LOG_DIR=${HADOOP_HOME}/logs

# File naming remote slave hosts. $HADOOP_HOME/conf/slaves by default.

# export HADOOP_SLAVES=${HADOOP_HOME}/conf/slaves

# host:path where hadoop code should be rsync'd from. Unset by default.

# export HADOOP_MASTER=master:/home/$USER/src/hadoop

# Seconds to sleep between slave commands. Unset by default. This

# can be useful in large clusters, where, e.g., slave rsyncs can

# otherwise arrive faster than the master can service them.

# export HADOOP_SLAVE_SLEEP=0.1

# The directory where pid files are stored. /tmp by default.

# export HADOOP_PID_DIR=/var/hadoop/pids

# A string representing this instance of hadoop. $USER by default.

# export HADOOP_IDENT_STRING=$USER

# The scheduling priority for daemon processes. See 'man nice'.

# export HADOOP_NICENESS=10

<4>conf/core-site.xml
     这里主要配置fs.default.name（用来指定namenode）和hadoop.tmp.dir（默认的hdfs的tmp目录位置），这里可以不设置hadoop.tmp.dir，那么就会保存在默认的/tmp下，每次重启机器都会丢失数据。

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<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

  

<!-- Put site-specific property overrides in this file. -->

<configuration>

   <property>

       <name>fs.default.name</name>

       <value>hdfs://localhost:9000</value>

   </property>

   <property>

       <name>hadoop.tmp.dir</name>

       <value>/home/hadoop/hdfs/tmp</value>

   </property>

</configuration>

<5>hdfs-site.xml
     这里的dfs.replication用来设置每份数据块的副本数目，默认是3，因为我们是在单机上配置的伪分布模式，因此设为1。dfs.name.dir和dfs.data.dir非常重要，用来设置存放hdfs中namenode和datanode数据的本地存放位置。这里如果设置不好，后续会出现多个错误。当然你也可以不设置采用默认的/tmp下的目录，但是同样重启会丢失数据。

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<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<!-- Put site-specific property overrides in this file. -->

<configuration>

   <property>

       <name>dfs.replication</name>

       <value>1</value>

   </property>

   <property>

       <name>dfs.name.dir</name>

       <value>/home/hadoop/hdfs/name</value>

   </property>

   <property>

       <name>dfs.data.dir</name>

       <value>/home/hadoop/hdfs/data</value>

   </property>

</configuration>

<6>mapred-site.xml

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<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<!-- Put site-specific property overrides in this file. -->

<configuration>

   <property>

       <name>mapred.job.tracker</name>

       <value>localhost:9001</value>

   </property>

</configuration>

      然后就是运行测试了，把hadoop-1.0.3/bin加入到/etc/profile中的PATH路径中，方便我们执行Hadoop命令。运行start-all.sh后出现了问题，jps查看namenode无法启动，使用hadoop namenode -format也不能成功，查看日志：

    提示我们存储的HDFS目录要么不存在要么没有权限：
FSNamesystem initialization failed.
org.apache.hadoop.hdfs.server.common.InconsistentFSStateException:Directory /home/hadoop/hdfs/name is in an inconsistent state: storage directory does not exist or is not accessible.
查看发现已经生成了hdfs目录，那么问题就是权限了，将/home下的hadoop目录权限由755设为775，然后重新运行hadoop，成功：

      在进行安装hbase之前，我们先来按照官方的方法测试一下伪分布式的hadoop，看看安装是否成功：首先将conf下的所有文件拷贝到hdfs上的input目录中，然后运行jar文件将结果存储到hdfs中的output目录中，最后从output目录中查看结果：

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$ bin/hadoop fs -put conf input

$ bin/hadoop jar hadoop-examples-*.jar grep input output 'dfs[a-z.]+'

Copy the output files from the distributed filesystem to the local filesytem and examine them:

$ bin/hadoop fs -get output output 

$ cat output/*

or

View the output files on the distributed filesystem:

$ bin/hadoop fs -cat output/*

When you're done, stop the daemons with:

$ bin/stop-all.sh

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二、安装hbase
     这里选择的版本是hbase-0.90.0，首先从google中直接搜索该版本，下载后解压得到hbase-0.90.0。同hadoop一样，这里我们的主要工作同样是修改配置文件：
<1> 修改/etc/hosts文件，将127.0.1.1 hadoop修改为127.0.0.1
<2> 设置ulimits：
修改 /etc/security/limits.conf ，添加：
hadoop -  nofile 32768
hadoop soft/hard nproc 32000
修改/etc/pam.d/common-session ，添加
session required pam_limits.so
<3>修改conf/hbase-env.xml
     这里主要设置JAVA_HOME目录，HBASE_LOG_DIR路径以及启用hbase自带的zookeeper

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#

#/**

# * Copyright 2007 The Apache Software Foundation

# *

# * Licensed to the Apache Software Foundation (ASF) under one

# * or more contributor license agreements. See the NOTICE file

# * distributed with this work for additional information

# * regarding copyright ownership. The ASF licenses this file

# * to you under the Apache License, Version 2.0 (the

# * "License"); you may not use this file except in compliance

# * with the License. You may obtain a copy of the License at

# *

# * http://www.apache.org/licenses/LICENSE-2.0

# *

# * Unless required by applicable law or agreed to in writing, software

# * distributed under the License is distributed on an "AS IS" BASIS,

# * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# * See the License for the specific language governing permissions and

# * limitations under the License.

# */

# Set environment variables here.

# The java implementation to use. Java 1.6 required.

 export JAVA_HOME=/home/hadoop/platform/jdk1.6.0_45 

# Extra Java CLASSPATH elements. Optional.

# export HBASE_CLASSPATH=

# The maximum amount of heap to use, in MB. Default is 1000.

# export HBASE_HEAPSIZE=1000

# Extra Java runtime options.

# Below are what we set by default. May only work with SUN JVM.

# For more on why as well as other possible settings,

# see http://wiki.apache.org/hadoop/PerformanceTuning

export HBASE_OPTS="$HBASE_OPTS -ea -XX:+HeapDumpOnOutOfMemoryError -XX:+UseConcMarkSweepGC -XX:+CMSIncrementalMode"

# Uncomment below to enable java garbage collection logging.

# export HBASE_OPTS="$HBASE_OPTS -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:$HBASE_HOME/logs/gc-hbase.log" 

# Uncomment and adjust to enable JMX exporting

# See jmxremote.password and jmxremote.access in $JRE_HOME/lib/management to configure remote password access.

# More details at: http://java.sun.com/javase/6/docs/technotes/guides/management/agent.html

#

# export HBASE_JMX_BASE="-Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false"

# export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10101"

# export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10102"

# export HBASE_THRIFT_OPTS="$HBASE_THRIFT_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10103"

# export HBASE_ZOOKEEPER_OPTS="$HBASE_ZOOKEEPER_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10104"

# File naming hosts on which HRegionServers will run. $HBASE_HOME/conf/regionservers by default.

# export HBASE_REGIONSERVERS=${HBASE_HOME}/conf/regionservers

# Extra ssh options. Empty by default.

# export HBASE_SSH_OPTS="-o ConnectTimeout=1 -o SendEnv=HBASE_CONF_DIR"

# Where log files are stored. $HBASE_HOME/logs by default.

export HBASE_LOG_DIR=${HBASE_HOME}/logs

# A string representing this instance of hbase. $USER by default.

# export HBASE_IDENT_STRING=$USER

# The scheduling priority for daemon processes. See 'man nice'.

# export HBASE_NICENESS=10

# The directory where pid files are stored. /tmp by default.

# export HBASE_PID_DIR=/var/hadoop/pids

# Seconds to sleep between slave commands. Unset by default. This

# can be useful in large clusters, where, e.g., slave rsyncs can

# otherwise arrive faster than the master can service them.

# export HBASE_SLAVE_SLEEP=0.1

# Tell HBase whether it should manage it's own instance of Zookeeper or not.

 export HBASE_MANAGES_ZK=true

<4>配置conf/hbase-site.xml
     这里要将我们的hbase设置为伪分布模式，因此除了设置hbase的根目录hbase.rootdir外，还需要设置hbase.cluster.distributed和hbase.zookeeper.quorum两个参数；至于zookeeper.znode.parent是指定zookeeper的相对目录。

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<?xml version="1.0"?>

<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<!--

/**

 * Copyright 2010 The Apache Software Foundation

 *

 * Licensed to the Apache Software Foundation (ASF) under one

 * or more contributor license agreements. See the NOTICE file

 * distributed with this work for additional information

 * regarding copyright ownership. The ASF licenses this file

 * to you under the Apache License, Version 2.0 (the

 * "License"); you may not use this file except in compliance

 * with the License. You may obtain a copy of the License at

 *

 * http://www.apache.org/licenses/LICENSE-2.0

 *

 * Unless required by applicable law or agreed to in writing, software

 * distributed under the License is distributed on an "AS IS" BASIS,

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

 * See the License for the specific language governing permissions and

 * limitations under the License.

 */

-->

<configuration>

    <property>

        <name>hbase.rootdir</name>

        <value>hdfs://localhost:9000/hbase</value>

    </property>

        <property>

        <name>hbase.cluster.distributed</name>

        <value>true</value>

    </property>

    <property>

        <name>hbase.zookeeper.quorum</name>

        <value>localhost</value>

    </property>

    <property>

        <name>zookeeper.znode.parent</name>

        <value>/hbase</value>

    </property>

</configuration>

<5>运行测试      
      然后同样将hbase下的bin目录加入到PATH中，运行start-hbase.sh后发现HMaster未启动，查看日志发现以下提示：
FATAL: org.apache.hadoop.hbase.master.HMaster: Unhandled exception. Starting shutdown. java.io.IOException:
Call to localhost/127.0.0.1:9000 failed on local exception: java.io.EOFException

      原因是需要将hadoop中的hadoop-core-1.0.4.jar覆盖掉hbase-0.90.0/lib下的hadoop-core-0.20-append-r1056947.jar文件，再次运行提示了新错误：java.lang.NoClassDefFoundError


     看来是找不到相关的类，所以我们需要将hadoop-1.0.3下lib目录的jar文件全部拷贝到hbase下的lib目录下，再次运行，顺利通过：

<5>运行hbase shell
     Hbase为我们提供了shell接口进行测试，可以使用create命令创建一个新表，然后利用put命令添加新的行，使用scan命令查看建立的表：

     好了，hadoop和hbase的安装到此基本结束，明天开始配置Sleuthkit。

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