hbase配置文档，

hbase配置文档，

首先拿到三台机器
已经配置好了hadoop
在namenode机器上安装hbase的master


在namenode机器上:
yum install ~ hbase-master


修改配置文件
hbase-site.xml


<configuration>
 <property>
   <name>hbase.rootdir</name>
   <value>hdfs://namenode的ip或者主机名/hbase</value>
   <description>The directory shared by region servers.</description>
 </property>
 <property>
   <name>hbase.hregion.max.filesize</name>
   <value>1073741824</value>
   <description>
   Maximum HStoreFile size. If any one of a column families' HStoreFiles has
   grown to exceed this value, the hosting HRegion is split in two.
   Default: 256M.
   </description>
 </property>
 <property>
   <name>hbase.hregion.memstore.flush.size</name>
   <value>134217728</value>
   <description>
   Memstore will be flushed to disk if size of the memstore
   exceeds this number of bytes.  Value is checked by a thread that runs
   every hbase.server.thread.wakefrequency.
   </description>
 </property>
 <property>
   <name>hbase.cluster.distributed</name>
   <value>true</value>
   <description>The mode the cluster will be in. Possible values are
     false: standalone and pseudo-distributed setups with managed Zookeeper
     true: fully-distributed with unmanaged Zookeeper Quorum (see hbase-env.sh)
</description>
 </property>
 <property>
     <name>hbase.zookeeper.property.clientPort</name>
     <value>2181</value>
     <description>Property from ZooKeeper's config zoo.cfg.
     The port at which the clients will connect.
     </description>
 </property>
 <property>
   <name>zookeeper.session.timeout</name>
   <value>120000</value>
 </property>
 <property>
   <name>hbase.zookeeper.property.tickTime</name>
   <value>6000</value>
 </property>
   <property>
     <name>hbase.zookeeper.quorum</name>
     <value>所有装了zookeeper的机器的IP地址,这也包含了所有的regionserver,用逗号隔开</value>
     <description>Comma separated list of servers in the ZooKeeper Quorum.
     For example, "host1.mydomain.com,host2.mydomain.com,host3.mydomain.com".
     By default this is set to localhost for local and pseudo-distributed modes
     of operation. For a fully-distributed setup, this should be set to a full
     list of ZooKeeper quorum servers. If HBASE_MANAGES_ZK is set in hbase-env.sh
     this is the list of servers which we will start/stop ZooKeeper on.
     </description>
</property>
<property>
       <name>hbase.tmp.dir</name>
       <value>/hadoop/hbase</value>
   </property>
</configuration>




修改配置文件hbase-env.sh
在末尾加入:
export JAVA_HOME=/usr/java/jdk1.6.0_45
export HBASE_CLASSPATH=/etc/hadoop/conf
export HBASE_MANAGES_ZK=false  这玩意代表了是否使用hbase自带的zookeeper,true代表使用
export HBASE_HEAPSIZE=2048


配置regionservers
全部都是IP地址,或者主机名,一行一个,只放regionserver的就行了




启动hmaster
/etc/init.d/hbase-master start






安装zookeeper
每个机器都装,步骤一样
yum install ~ zookeeper




配置zoo.cfg在末尾加入这些,全部都是regionservser的识别
server.1=172.16.26.25:2888:3888
server.2=172.16.26.39:2888:3888
server.3=172.16.26.53:2888:3888
server.4=172.16.26.54:2888:3888


启动 在目录 /usr/lib/zookeeper/bin/    sh zkServer.sh start




这里要注意一点/ect下的hosts要配置正确~~!!!!!!!!!!!!!
127.0.0.1       localhost.localdomain   localhost
::1             localhost6.localdomain6 localhost6
172.16.27.78    puppet.madhouse.cn
172.16.26.13 opd18hdp04.dev.optimad.cn
172.16.26.25 opd19hdp03.dev.optimad.cn
172.16.26.39 opd22hdp01.dev.optimad.cn
172.16.26.53 opd04hbs01.dev.optimad.cn
172.16.26.54 opd04hbs02.dev.optimad.cn






之后,在装好hive的机器上,把hive-site.xml文件配置好
<configuration>


<!-- Hive Configuration can either be stored in this file or in the hadoop configuration files  -->
<!-- that are implied by Hadoop setup variables.                                                -->
<!-- Aside from Hadoop setup variables - this file is provided as a convenience so that Hive    -->
<!-- users do not have to edit hadoop configuration files (that may be managed as a centralized -->
<!-- resource).                                                                                 -->


<!-- Hive Execution Parameters -->
        <property>
                <name>hive.metastore.local</name>
                <value>true</value>
        </property>
        <property>
                <name>javax.jdo.option.ConnectionURL</name>
                <value>jdbc:mysql://172.16.26.24(这个地方是你hive元数据库的):3306/hive?createDatabaseIfNotExist=true&amp;characterEncoding=UTF-8</value>
        </property>
        <property>
                <name>javax.jdo.option.ConnectionDriverName</name>
                <value>com.mysql.jdbc.Driver</value>
        </property>
        <property>
                <name>javax.jdo.option.ConnectionUserName</name>
                <value>hive</value>
        </property>
        <property>
                <name>javax.jdo.option.ConnectionPassword</name>
                <value>hive</value>
        </property>
<property> 
  <name>hive.exec.scratchdir</name>  
  <value>/usr/lib/hive/tmp</value>  
</property>  
<property>  
  <name>hive.querylog.location</name>  
  <value>/usr/lib/hive/logs</value>  
</property>  
<property> 
 <name>hive.aux.jars.path</name>  
<value>file:///usr/lib/hive/lib/hive-hbase-handler-0.10.0-cdh4.3.1.jar,file:///usr/lib/hive/lib/hbase.jar,file:///usr/lib/hive/lib/zookeeper-3.4.5-cdh4.3.1.jar</value> 
</property>
<property>
  <name>hbase.zookeeper.quorum</name>
  <value>172.16.26.25,172.16.26.39,172.16.26.53,172.16.26.54</value>
</property>


</configuration>






ok,用hdfs用户进入hive
建立hbase可以识别的hive表
  CREATE TABLE adunit_hbase(key string,
  id      int,
resourceid      string,
adunitname      string,
adprojectid     int,
campaignid      int,
mediaid int,
mediatype       boolean,
mccaccountid    int,
mcccampaignid   string,
prebudgetdaily  double,
preactivedaily  bigint,
brief   string,
briefstartdate  string,
briefenddate    string,
adunitstatus    boolean,
isdel   boolean,
owner   int,
puturl  string,
analyticsadunitid       string,
isreturnactive  boolean,
conversionid    string,
label   string,
bundleid        string,
createuser      int,
createtime      string,
modifyuser      int,
modifytime      string,
verifyuser      int,
verifytime      string,
puttype boolean,
isfixputprice   boolean,
fixputprice     double,
impressionurl   string)  
STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'  
WITH SERDEPROPERTIES ("hbase.columns.mapping" = "cf0:id,cf1:resourceid,cf2:adunitname,cf3:adprojectid,cf4:campaignid,cf5:mediaid,cf6:mediatype,
cf7:mccaccountid,cf8:mcccampaignid,cf9:prebudgetdaily,cf10:preactivedaily,cf11:brief,
cf12:briefstartdate,cf13:briefenddate,cf14:adunitstatus,cf15:isdel,cf16:owner,cf17:puturl,cf18:analyticsadunitid,
cf19:isreturnactive,cf20:conversionid,cf21:label,cf22:bundleid,cf23:createuser,cf24:createtime,cf25:modifyuser,
cf26:modifytime,cf27:verifyuser,cf28:verifytime,cf29:puttype,cf30:isfixputprice,cf31:fixputprice,cf32:impressionurl")
TBLPROPERTIES ("hbase.table.name" = "adunit_hbase");  


INSERT OVERWRITE TABLE call_postbacklog_hbase SELECT a.* FROM call_postbacklog a;




2f059452ed61ffd8




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