(1)hadoop2.7.1源码编译 http://zilongzilong.iteye.com/blog/2246856
(2)hadoop2.7.1安装准备 http://zilongzilong.iteye.com/blog/2253544
(3)hadoop2.7.1安装 http://zilongzilong.iteye.com/blog/2245547
(4)hbase安装准备 http://zilongzilong.iteye.com/blog/2254451
(5)hbase安装 http://zilongzilong.iteye.com/blog/2254460
(6)snappy安装 http://zilongzilong.iteye.com/blog/2254487
(7)雅虎YCSBC测试hbase性能测试 http://zilongzilong.iteye.com/blog/2248863
(8)spring-hadoop实战 http://zilongzilong.iteye.com/blog/2254491
安装前的准备工作参见(4)hbase安装准备 http://zilongzilong.iteye.com/blog/2254451
1.下载安装包hbase-1.1.2-bin.tar.gz放置于/opt
2.解压hbase-1.1.2-bin.tar.gz
tar zxvf hbase-1.1.2-bin.tar.gz
3.配置环境变量，在/etc/profile添加如下内容：
export HBASE=/opt/hbase-1.1.2
export PATH=${HBASE}/bin:${PATH}
4.创建hbase临时文件夹(集群每个节点都需要创建)
mkdir /home/hadoop/hbase
5.修改/opt/hbase-1.1.2/conf/hbase-env.sh,内容如下：
#
#/**
# * 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.
# This script sets variables multiple times over the course of starting an hbase process,
# so try to keep things idempotent unless you want to take an even deeper look
# into the startup scripts (bin/hbase, etc.)
# The java implementation to use. Java 1.7+ required.
# export JAVA_HOME=/usr/java/jdk1.6.0/
export JAVA_HOME=/opt/java/jdk1.7.0_65/
# Extra Java CLASSPATH elements. Optional.
# export HBASE_CLASSPATH=
export HBASE_CLASSPATH=/opt/hbase-1.1.2/conf
# The maximum amount of heap to use. Default is left to JVM default.
# export HBASE_HEAPSIZE=1G
export HBASE_HEAPSIZE=2G
# Uncomment below if you intend to use off heap cache. For example, to allocate 8G of
# offheap, set the value to "8G".
# export HBASE_OFFHEAPSIZE=1G
# 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="-XX:+UseConcMarkSweepGC"
export HBASE_OPTS="$HBASE_OPTS -XX:CMSInitiatingOccupancyFraction=60"
# Configure PermSize. Only needed in JDK7. You can safely remove it for JDK8+
export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS -XX:PermSize=128m -XX:MaxPermSize=128m"
export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS -XX:PermSize=128m -XX:MaxPermSize=128m"
# Uncomment one of the below three options to enable java garbage collection logging for the server-side processes.
# This enables basic gc logging to the .out file.
# export SERVER_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps"
# This enables basic gc logging to its own file.
# If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR .
# export SERVER_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH>"
# This enables basic GC logging to its own file with automatic log rolling. Only applies to jdk 1.6.0_34+ and 1.7.0_2+.
# If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR .
# export SERVER_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH> -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=1 -XX:GCLogFileSize=512M"
# Uncomment one of the below three options to enable java garbage collection logging for the client processes.
# This enables basic gc logging to the .out file.
# export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps"
# This enables basic gc logging to its own file.
# If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR .
# export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH>"
# This enables basic GC logging to its own file with automatic log rolling. Only applies to jdk 1.6.0_34+ and 1.7.0_2+.
# If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR .
# export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH> -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=1 -XX:GCLogFileSize=512M"
export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:/opt/hbase-1.1.2/logs/gc-hbase.log -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=1 -XX:GCLogFileSize=512M"
# See the package documentation for org.apache.hadoop.hbase.io.hfile for other configurations
# needed setting up off-heap block caching.
# Uncomment and adjust to enable JMX exporting
# See jmxremote.password and jmxremote.access in $JRE_HOME/lib/management to configure remote password access.
# More details at: http://java.sun.com/javase/6/docs/technotes/guides/management/agent.html
# NOTE: HBase provides an alternative JMX implementation to fix the random ports issue, please see JMX
# section in HBase Reference Guide for instructions.
# export HBASE_JMX_BASE="-Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false"
# export HBASE_MASTER_OPTS="$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 $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10104"
# export HBASE_REST_OPTS="$HBASE_REST_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10105"
# File naming hosts on which HRegionServers will run. $HBASE_HOME/conf/regionservers by default.
# export HBASE_REGIONSERVERS=${HBASE_HOME}/conf/regionservers
# Uncomment and adjust to keep all the Region Server pages mapped to be memory resident
#HBASE_REGIONSERVER_MLOCK=true
#HBASE_REGIONSERVER_UID="hbase"
# File naming hosts on which backup HMaster will run. $HBASE_HOME/conf/backup-masters by default.
# export HBASE_BACKUP_MASTERS=${HBASE_HOME}/conf/backup-masters
# 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
# Enable remote JDWP debugging of major HBase processes. Meant for Core Developers
# export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8070"
# export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8071"
# export HBASE_THRIFT_OPTS="$HBASE_THRIFT_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8072"
# export HBASE_ZOOKEEPER_OPTS="$HBASE_ZOOKEEPER_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8073"
# 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
export HBASE_MANAGES_ZK=false
# The default log rolling policy is RFA, where the log file is rolled as per the size defined for the
# RFA appender. Please refer to the log4j.properties file to see more details on this appender.
# In case one needs to do log rolling on a date change, one should set the environment property
# HBASE_ROOT_LOGGER to "<DESIRED_LOG LEVEL>,DRFA".
# For example:
# HBASE_ROOT_LOGGER=INFO,DRFA
# The reason for changing default to RFA is to avoid the boundary case of filling out disk space as
# DRFA doesn't put any cap on the log size. Please refer to HBase-5655 for more context.
6.修改配置文件/opt/hbase-1.1.2/conf/hbase-site.xml，内容如下：
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
/**
*
* 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://192.168.181.66:9000/hbase</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>nmsc0,nmsc1,nmsc2</value>
</property>
<property>
<name>hbase.tmp.dir</name>
<value>file:/home/hadoop/hbase/</value>
</property>
<property>
<name>hbase.master</name>
<value>hdfs://192.168.181.66:60000</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>file:/home/hadoop/zookeeper</value>
</property>
<property>
<!--htable.setWriteBufferSize(5242880);//5M -->
<name>hbase.client.write.buffer</name>
<value>5242880</value>
</property>
<property>
<name>hbase.regionserver.handler.count</name>
<value>300</value>
<description>Count of RPC Listener instances spun up on RegionServers.Same property is used by the Master for count of master handlers.</description>
</property>
<property>
<name>hbase.table.sanity.checks</name>
<value>false</value>
</property>
<property>
<!--every 30s,the master will check regionser is working -->
<name>zookeeper.session.timeout</name>
<value>30000</value>
</property>
<property>
<!--every region max file size set to 4G-->
<name>hbase.hregion.max.filesize</name>
<value>10737418240</value>
</property>
</configuration> 7.修改/opt/hbase-1.1.2/conf/regionservers，内容如下：
nmsc1 nmsc2
8.远程复制分发安装文件
scp -r /opt/hbase-1.1.2 root@nmsc1:/opt/
scp -r /opt/hbase-1.1.2 root@nmsc2:/opt/
9.启动和停止hbase，命令是在集群中任何机器执行都可以的，首先保证Hadoop要启动。
启动hbase，涉及HMaster，HRegionServer
cd /opt/hbase-1.1.2/bin/
./start-hbase.sh
jps
关闭hbase,涉及HMaster，HRegionServer
cd /opt/hbase-1.1.2/bin/
./stop-hbase.sh
10,查看hbase管理界面http://192.168.181.66:16010
11.使用hbase自带的importTSV工具将TSV格式文件导入到hbase数据表
1）创hbase数据表sms_send_result，该表上列族为info，列族info下包含列info:sender,info:receiver,info:sendtime,info:sendstatus,info:message，列族info采用SNAPPY压缩，该表按照rowkey预分区，该列族info有效时间为60天，预分区按照['01','02','03','04','05','06','07','08','09','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28','29','30','31','32','33','34','35','36','37','38','39','40','41','42','43','44','45','46','47','48','49','50','51','52','53','54','55','56','57','58','59','60','61','62','63','64','65','66','67','68','69','70','71','72','73','74','75','76','77','78','79','80','81','82','83','84','85','86','87','88','89','90','91','92','93','94','95','96','97','98','99']分区为100区
cd /opt/hbase-1.1.2
bin/hbase shell
disable 'sms_send_result'
drop 'sms_send_result'
create 'sms_send_result', {NAME => 'info', COMPRESSION => 'SNAPPY',TTL=>'5184000' }, SPLITS => ['01','02','03','04','05','06','07','08','09','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28','29','30','31','32','33','34','35','36','37','38','39','40','41','42','43','44','45','46','47','48','49','50','51','52','53','54','55','56','57','58','59','60','61','62','63','64','65','66','67','68','69','70','71','72','73','74','75','76','77','78','79','80','81','82','83','84','85','86','87','88','89','90','91','92','93','94','95','96','97','98','99']
2）将TSV格式的linux文件/opt/hadoop-2.7.1/bin/sms.tsv上传到Hadoop的HDFS上，HDFS上放置到根目录下：
cd /opt/hadoop-2.7.1/bin/ ./hdfs dfs -put /opt/hadoop-2.7.1/bin/sms.tsv /
3）利用hbase自带工具importTSV将HDFS文件/sms.tsv导入到hbase数据表sms_send_result
cd /opt/hbase-1.1.2 bin/hbase org.apache.hadoop.hbase.mapreduce.ImportTsv -Dimporttsv.columns=HBASE_ROW_KEY,info:sender,info:receiver,info:sendtime,info:sendstatus,info:message sms_send_result hdfs://192.168.181.66:9000/sms.tsv
4）sms.tsv大致内容如下
1154011896700000000000000201112251548071060776636 106591145302 19999999999 20111225 15:48:07 DELIVRD 阿拉斯加的费 9908996845700000000000000201112251548071060776638 106591145302 19899999999 20111225 15:48:07 DELIVRD 暗室逢灯
在TSV中，要按照3中的顺序HBASE_ROW_KEY,info:sender,info:receiver,info:sendtime,info:sendstatus,info:message放置数据，数据间要严格以TAB分隔，如果不是TAB分隔，可以在导入的时候以-Dimporttsv.separator=来指定。
再者注意：hbase自带工具importTSV只在数据表为空表导入时候效率高，数据表为非空后，导入效率低下，原因是数据会不断进行split和comprassion