Hadoop集群搭建(三) Hbase
阿新 • • 發佈：2017-10-12
hbase hadoop hdfs
前面已經完成Zookeeper和HDFS的安裝，本文會詳細介紹Hbase的安裝步驟。以及安裝過程中遇到問題的匯總。
Hadoop集群搭建(一) Zookeeper
Hadoop集群搭建(二) HDFS
下面開始Hbase的安裝。
Hbase的服務器規劃
192.168.67.101 c6701 --Master + regionserver 192.168.67.102 c6702 --Master(standby)+regionserver 192.168.67.103 c6703 --regionserver
---在c6701上安裝Hbase
1. 創建hbase用戶，及創建相關目錄
su - root useradd hbase echo "hbase:hbase" | chpasswd mkdir -p /data/zookeeper mkdir -p /data/hbase/tmp mkdir -p /data/hbase/logs chown -R hbase:hbase /data/hbase chown -R a+rx /home/hdfs <<<<<<<<<<<<<讓hadoop目錄，其他人可以用讀和執行--很重要hbase需要訪問
2. 解壓軟件
su - hbase cd /tmp/software tar -zxvf hbase-1.1.3.tar.gz -C /home/hbase/
3. 設置hbase-site.xml的參數
[[email protected] conf]$ more hbase-site.xml
<configuration>
<property>
<name>hbase.tmp.dir</name>
<value>/data/hbase/tmp</value>
</property>
<property>
<name>hbase.rootdir</name>
<value>hdfs://ns/hbase</value> <<<<<<<<<<<<<<<<<這裏要註意，ns是namenode的名字，Hbase可以訪問很多HDFS，在這裏標註namenode，才是指定訪問這個namenode，實際在hdfs看到是/hbase的目錄，不會看到ns的。
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
<property>
<name>hbase.master</name>
<value>60000</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>c6701,c6702,c6703</value>
</property>
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/data/zookeeper</value>
</property>
</configuration>4. 設置hbase-env.sh的參數
[[email protected] conf]$ cat hbase-env.sh |grep -v "^#" export JAVA_HOME=/usr/local/jdk1.8.0_144 export HBASE_CLASSPATH=$HADOOP_HOME/etc/hadoop/ export HBASE_HEAPSIZE=500M export HBASE_OPTS="-XX:+UseConcMarkSweepGC" export HBASE_REGIONSERVER_OPTS="-Xmx1g -Xms400m -Xmn128m -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70" export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS -Xmx1g -Xms400m -XX:PermSize=128m -XX:MaxPermSize=128m" export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS -XX:PermSize=128m -XX:MaxPermSize=128m" export HBASE_LOG_DIR=/data/hbase/logs export HBASE_PID_DIR=/data/hbase/hadoopPidDir export HBASE_MANAGES_ZK=true export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HBASE_HOME/lib/:/usr/lib64/ export HBASE_LIBRARY_PATH=$HBASE_LIBRARY_PATH:$HBASE_HOME/lib/:/usr/lib64/
5. 註意一下內存設置，由於是測試環境，設置過大，導致內存不足，無法啟動問題
export HBASE_REGIONSERVER_OPTS="-Xmx1g -Xms400m -Xmn128m -XX:+UseParNewGC -XX:+UseConcMarkSweepGC -XX:CMSInitiatingOccupancyFraction=70" export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS -Xmx1g -Xms400m -XX:PermSize=128m -XX:MaxPermSize=128m"
內存不足的錯誤
[[email protected] bin]$ ./hbase-daemon.sh start master starting master, logging to /data/hbase/logs/hbase-hbase-master-c6701.python279.org.out Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0 Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0 Java HotSpot(TM) 64-Bit Server VM warning: INFO: os::commit_memory(0x00000006c5330000, 2060255232, 0) failed; error=‘Cannot allocate memory‘ (errno=12) # # There is insufficient memory for the Java Runtime Environment to continue. # Native memory allocation (mmap) failed to map 2060255232 bytes for committing reserved memory. # An error report file with more information is saved as: # /home/hbase/hbase-1.1.3/bin/hs_err_pid7507.log
6. 增加hadoop的參數到/etc/profile中，後面hbase運行，需要知道hadoop_home
export JAVA_HOME=/usr/local/jdk1.8.0_144 export JRE_HOME=/usr/local/jdk1.8.0_144/jre export PATH=$JAVA_HOME/bin:$PATH:/home/hbase/hbase-1.1.3/bin export HADOOP_HOME=/home/hdfs/hadoop-2.6.0-EDH-0u2 export HADOOP_INSTALL=$HADOOP_HOME export HADOOP_MAPRED_HOME=$HADOOP_HOME export HADOOP_COMMON_HOME=$HADOOP_HOME export HADOOP_HDFS_HOME=$HADOOP_HOME export YARN_HOME=$HADOOP_HOME export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native export PATH=$PATH:$HADOOP_HOME/sbin:$HADOOP_HOME/bin export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib:$HADOOP_COMMON_LIB_NATIVE_DIR"
---安裝c6702的hbase
7. 創建hbase用戶
ssh c6702 "useradd hbase;echo "hbase:hbase" | chpasswd"
8. 為hbase用戶ssh免密
ssh-copy-id [email protected]
9. 拷貝軟件,創建目錄，解壓軟件
scp -r /tmp/software/hbase-1.1.3.tar.gz [email protected]:/tmp/software/. ssh c6702 "chmod 777 /tmp/software/*;mkdir -p /data/zookeeper;mkdir -p /data/hbase/tmp;mkdir -p /data/hbase/logs;chown -R hbase:hbase /data/hbase" ssh c6702 "chmod -R a+rx /home/hdfs" ssh [email protected] "tar -zxvf /tmp/software/hbase-1.1.3.tar.gz -C /home/hbase"
10.復制配置文件
scp -r /etc/profile [email protected]:/etc/profile scp -r /home/hbase/hbase-1.1.3/conf/hbase-site.xml [email protected]:/home/hbase/hbase-1.1.3/conf/. scp -r /home/hbase/hbase-1.1.3/conf/hbase-env.sh [email protected]:/home/hbase/hbase-1.1.3/conf/.
---安裝c6703的hbase
8. 創建hbase用戶
ssh c6703 "useradd hbase;echo "hbase:hbase" | chpasswd"
9. 為hbase用戶ssh免密
ssh-copy-id [email protected]
10. 拷貝軟件,創建目錄，解壓軟件
scp -r /tmp/software/hbase-1.1.3.tar.gz [email protected]:/tmp/software/. ssh c6703 "chmod 777 /tmp/software/*;mkdir -p /data/zookeeper;mkdir -p /data/hbase/tmp;mkdir -p /data/hbase/logs;chown -R hbase:hbase /data/hbase" ssh c6703 "chmod -R a+rx /home/hdfs" ssh [email protected] "tar -zxvf /tmp/software/hbase-1.1.3.tar.gz -C /home/hbase"
11. 復制配置文件
scp -r /etc/profile [email protected]:/etc/profile scp -r /home/hbase/hbase-1.1.3/conf/hbase-site.xml [email protected]:/home/hbase/hbase-1.1.3/conf/. scp -r /home/hbase/hbase-1.1.3/conf/hbase-env.sh [email protected]:/home/hbase/hbase-1.1.3/conf/.
12. 啟動Hbase master(在c6701和c6702)
hbase-daemon.sh start master ssh -t -q c6702 sudo su -l hbase -c "/usr/local/hadoop/hbase-release/bin/hbase-daemon.sh\ start\ master"
13. 啟動Hbase regionserver(在c6701和c6702和c6703)
hbase-daemon.sh start regionserver ssh -t -q c6702 sudo su -l hbase -c "/usr/local/hadoop/hbase-release/bin/hbase-daemon.sh\ start\ regionserver" ssh -t -q c6703 sudo su -l hbase -c "/usr/local/hadoop/hbase-release/bin/hbase-daemon.sh\ start\ regionserver"
HBASE安裝過程，問題匯總
1. 首先Hbase-site.xml設置錯誤，ns是namenode的名字，Hbase可以訪問很多HDFS，在這裏標註namenode，才是指定訪問這個namenode，實際在hdfs看到是/hbase的目錄，不會看到ns的。
<name>hbase.rootdir</name> <value>hdfs://ns/hbase</value> <<<<<<<<<<<<<<<<<這裏要註意
2.通過hbase訪問hdfs遇到問題，雖然也可以對hdfs操作，但是有warning
$ hdfs dfs -mkdir /hbase [[email protected] home]# su - hbase [[email protected] ~]$ hdfs dfs -ls /hbase/test 17/09/27 07:45:59 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
最後註釋掉/etc/profile中的CLASSPATH=解決的這個問題
export JAVA_HOME=/usr/local/jdk1.8.0_144 export JRE_HOME=/usr/local/jdk1.8.0_144/jre #export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JRE_HOME/lib:$CLASSPATH export PATH=$JAVA_HOME/bin:$PATH:/home/hbase/hbase-1.1.3/bin
3. 啟動Hbase的時候，還遇到權限問題，無法找到hadoop。首先通過hbase用戶檢查hadoop訪問權限
su - hbase /home/hdfs/hadoop-2.6.0-EDH-0u2/bin/hadoop version
如果權限有問題，需要增加hbase執行hadoop文件的權限
4. 啟動過程中，遇到錯誤，是由於/home/hbase/hbase-1.1.3/lib/原有的一些jar包版本與hadoop不同，進而影響，刪除即可。hbase會從hadoop中讀取jar包
[[email protected] ~]$ hbase-daemon.sh start regionserver starting regionserver, logging to /data/hbase/logs/hbase-hbase-regionserver-c6702.python279.org.out Java HotSpot(TM) 64-Bit Server VM warning: ignoring option PermSize=128m; support was removed in 8.0 Java HotSpot(TM) 64-Bit Server VM warning: ignoring option MaxPermSize=128m; support was removed in 8.0 SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/home/hbase/hbase-1.1.3/lib/kylin-jdbc-1.5.2.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/home/hbase/hbase-1.1.3/lib/kylin-job-1.5.2.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/home/hbase/hbase-1.1.3/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/home/hdfs/hadoop-2.6.0-EDH-0u2/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
至此Zookeeper+HDFS+Hbase安裝全部完成，前面還是比較順利的，但是在Hbase安裝的過程中，由於與Hadoop的銜接上，出現一些問題，耗費一些時間分析解決。
後續會繼續測試，hadoop升級的過程。
本文出自 “小小狗窩” 博客，請務必保留此出處http://hsbxxl.blog.51cto.com/181620/1971501
Hadoop集群搭建(三) Hbase