在經歷了幾周的努力之后，終于選擇放棄現在安裝的穩定版本，轉而安裝舊版本來部署Sleuthkit-Hadp系統。直到昨天，自己還一直為Inconsistent configuration的錯誤頭疼不已。既然同事的版本已經裝成功了，那自己也就先用跑通的系統試一下吧，畢竟先放下再回來看現在的問題可能有更好的解決思路吧。今天開始正式重新部署SH系統的第一步，安裝Hadoop與Hbase。之前的安裝筆記比較凌亂，今天借著這樣的機會把整個步驟重新梳理一遍。

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一、安裝Hadoop
? ? ?自己使用的軟件版本是hadoop-1.0.3，比較早的一個版本，可以去hadoop的官方網站去下載。在安裝hadoop以前首先要設置系統環境：
<1> 安裝java-1.6版本，之前自己安裝的java-1.7，但是沒有成功，不曉得是不是java版本的緣故；無論如何，這次自己選擇了比較保守的方案，從oracle官方注冊后下載jdk-6u45-linux-i586.bin后解包得到【jdk-1.6.0_45】。注意到這里都是bin文件，因此需要chmod該文件以775的可執行權限，然后./filename.bin即可；
<2> 安裝ssh，并且設置ssh無密碼登錄hadoop
<2.1>運行sudo apt-get install ssh/rsync，運行sudo apt-get install openjava1.6-jdk (for jps command)
<2.2>配置ssh本機免口令登錄主要有兩步：
運行ssh-keygen -t dsa -P '' -f /.ssh/id_dsa
? ?-t用來指定加密算法，可以選擇dsa和rsa兩種加密方式；
? ?-P用來指定密碼，兩個單引號表示空密碼''；
? ?-f用來指定存放密鑰的文件
運行cat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keys
? ?這一步將公鑰添加進本機的authorized_keys中，完成這兩步后可以ssh localhost驗證是否成功。接下來需要進入已經解好的hadoop-1.0.3中進行配置。hadoop的偽分布模式主要需要配置以下幾個配置文件：
<3>conf/hbase-env.sh：主要用來配置hadoop的運行環境，這里需要修改JAVA_HOME到你的jdk1.6目錄（見黑體）

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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
? ? ?這里主要配置fs.default.name（用來指定namenode）和hadoop.tmp.dir（默認的hdfs的tmp目錄位置），這里可以不設置hadoop.tmp.dir，那么就會保存在默認的/tmp下，每次重啟機器都會丟失數據。

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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
? ? ?這里的dfs.replication用來設置每份數據塊的副本數目，默認是3，因為我們是在單機上配置的偽分布模式，因此設為1。dfs.name.dir和dfs.data.dir非常重要，用來設置存放hdfs中namenode和datanode數據的本地存放位置。這里如果設置不好，后續會出現多個錯誤。當然你也可以不設置采用默認的/tmp下的目錄，但是同樣重啟會丟失數據。

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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>

? ? ? 然后就是運行測試了，把hadoop-1.0.3/bin加入到/etc/profile中的PATH路徑中，方便我們執行Hadoop命令。運行start-all.sh后出現了問題，jps查看namenode無法啟動，使用hadoop namenode -format也不能成功，查看日志：

? ? 提示我們存儲的HDFS目錄要么不存在要么沒有權限：
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.
查看發現已經生成了hdfs目錄，那么問題就是權限了，將/home下的hadoop目錄權限由755設為775，然后重新運行hadoop，成功：

? ? ? 在進行安裝hbase之前，我們先來按照官方的方法測試一下偽分布式的hadoop，看看安裝是否成功：首先將conf下的所有文件拷貝到hdfs上的input目錄中，然后運行jar文件將結果存儲到hdfs中的output目錄中，最后從output目錄中查看結果：

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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

---

二、安裝hbase
? ? ?這里選擇的版本是hbase-0.90.0，首先從google中直接搜索該版本，下載后解壓得到hbase-0.90.0。同hadoop一樣，這里我們的主要工作同樣是修改配置文件：
<1> 修改/etc/hosts文件，將127.0.1.1 hadoop修改為127.0.0.1
<2> 設置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
? ? ?這里主要設置JAVA_HOME目錄，HBASE_LOG_DIR路徑以及啟用hbase自帶的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
? ? ?這里要將我們的hbase設置為偽分布模式，因此除了設置hbase的根目錄hbase.rootdir外，還需要設置hbase.cluster.distributed和hbase.zookeeper.quorum兩個參數；至于zookeeper.znode.parent是指定zookeeper的相對目錄。

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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>運行測試 ? ? ?
? ? ??然后同樣將hbase下的bin目錄加入到PATH中，運行start-hbase.sh后發現HMaster未啟動，查看日志發現以下提示：
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

? ? ??原因是需要將hadoop中的hadoop-core-1.0.4.jar覆蓋掉hbase-0.90.0/lib下的hadoop-core-0.20-append-r1056947.jar文件，再次運行提示了新錯誤：java.lang.NoClassDefFoundError


? ? ?看來是找不到相關的類，所以我們需要將hadoop-1.0.3下lib目錄的jar文件全部拷貝到hbase下的lib目錄下，再次運行，順利通過：

<5>運行hbase shell
? ? ?Hbase為我們提供了shell接口進行測試，可以使用create命令創建一個新表，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的安裝到此基本結束，明天開始配置Sleuthkit。

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