Hadoop+Hive+HBase+Spark 集群部署(二)
- 2019 年 10 月 6 日
- 筆記
1. Hbase
hbase-env.sh
export JAVA_HOME=/usr/java/jdk1.8.0_162 export HADOOP_HOME=/opt/soft/hadoop-2.8.3 export HBASE_HOME=/opt/soft/hbase-2.0.0 export HBASE_CLASSPATH=/opt/soft/hadoop-2.8.3/etc/hadoop export HBASE_PID_DIR=/opt/data/hbase_data/pids export HBASE_MANAGES_ZK=false
hbase-site.xml
<property> <name>hbase.rootdir</name> <value>hdfs://node:8020/hbase</value> <description>The directory shared byregion servers.</description> </property> <!-- hbase端口 --> <property> <name>hbase.zookeeper.property.clientPort</name> <value>2181</value> </property> <!-- 超时时间 --> <property> <name>zookeeper.session.timeout</name> <value>120000</value> </property> <!--防止服务器时间不同步出错 --> <property> <name>hbase.master.maxclockskew</name> <value>150000</value> </property> <!-- 集群主机配置 --> <property> <name>hbase.zookeeper.quorum</name> <value>node,node1,node2,node3</value> </property> <property> <name>hbase.zookeeper.property.dataDir</name> <value>/opt/data/zookeeper_data/</value> </property> <!-- 路径存放 --> <property> <name>hbase.tmp.dir</name> <value>/opt/data/hbase_data/tmp</value> </property> <!-- true表示分布式 --> <property> <name>hbase.cluster.distributed</name> <value>true</value> </property> <!-- 指定master --> <property> <name>hbase.master</name> <value>node:60000</value> </property> <property> <name>hbase.coprocessor.abortonerror</name> <value>false</value> </property>
regionservers
node1 node2 node3
启动 / 停止 命令
start-hbase.sh stop-hbase.sh
Hbase_webUI 端口
- 16010
shell
[root@node ~]# hbase shell SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/opt/soft/hbase-2.0.0/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/opt/soft/hadoop-2.8.3/share/hadoop/common/lib/slf4j-log4j12-1.7.10.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] HBase Shell Use "help" to get list of supported commands. Use "exit" to quit this interactive shell. Version 2.0.0, r7483b111e4da77adbfc8062b3b22cbe7c2cb91c1, Sun Apr 22 20:26:55 PDT 2018 Took 0.0040 seconds hbase(main):001:0> list TABLE 0 row(s) Took 0.9192 seconds => [] hbase(main):002:0> status 1 active master, 0 backup masters, 3 servers, 0 dead, 0.6667 average load Took 0.2078 seconds hbase(main):003:0>
PS.
- RPC版本可能不一致,所以HBase lib目录中的Hadoop jar版本应和安装的Hadoop版本一致,将相应jar拷贝至HBase lib中
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