HBase安装下载与集群(高可用)

news2024/11/24 3:45:05

一、准备

1.1 安装zookeeper

zookeeper 安装下载与集群

1.2 安装HADOOP

hadoop搭建集群搭建

1.3下载HBase

https://mirrors.tuna.tsinghua.edu.cn/apache/hbase/

二、正常部署

2.1 检查是否正常启动

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2.2解压

tar -zvxf hbase-2.4.11-bin.tar.gz

2.3配置环境变量

vim /etc/profile.d/my_env.sh

#HBASE_HOME
export HBASE_HOME=/usr/local/src/hbase/hbase-2.4.11
export PATH=$HBASE_HOME/bin:$PATH

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source环境变量

source /etc/profile.d/my_env.sh

2.4修改配置

2.4.1 配置hbase-env.sh 不使用habse自带的zookeeper

vim  $HBASE_HOME/conf/hbase-env.sh

export HBASE_MANAGES_ZK=false

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2.4.2 配置habse-site.xml

 vim  $HBASE_HOME/conf/hbase-site.xml

<?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>
    <!--
      The following properties are set for running HBase as a single process on a
      developer workstation. With this configuration, HBase is running in
      "stand-alone" mode and without a distributed file system. In this mode, and
      without further configuration, HBase and ZooKeeper data are stored on the
      local filesystem, in a path under the value configured for `hbase.tmp.dir`.
      This value is overridden from its default value of `/tmp` because many
      systems clean `/tmp` on a regular basis. Instead, it points to a path within
      this HBase installation directory.

      Running against the `LocalFileSystem`, as opposed to a distributed
      filesystem, runs the risk of data integrity issues and data loss. Normally
      HBase will refuse to run in such an environment. Setting
      `hbase.unsafe.stream.capability.enforce` to `false` overrides this behavior,
      permitting operation. This configuration is for the developer workstation
      only and __should not be used in production!__

      See also https://hbase.apache.org/book.html#standalone_dist
    -->
    <property>
        <name>hbase.zookeeper.quorum</name>
		<!--zookeeper节点-->
        <value>hadoop100,hadoop101,hadoop102</value>
        <description>The directory shared by RegionServers.
        </description>
    </property>
    <!-- <property>-->
    <!-- <name>hbase.zookeeper.property.dataDir</name>-->
    <!-- <value>/export/zookeeper</value>-->
    <!-- <description> 记得修改 ZK 的配置文件 -->
    <!-- ZK 的信息不能保存到临时文件夹-->
    <!-- </description>-->
    <!-- </property>-->
    <property>
        <name>hbase.rootdir</name>
		<!--hdfs需要根据自己情况来-->
        <value>hdfs://hadoop100:9000/hbase</value>
        <description>The directory shared by RegionServers.
        </description>
    </property>
    <property>
        <name>hbase.cluster.distributed</name>
        <value>true</value>
    </property>
</configuration>

配置regionservers

vim $HBASE_HOME/conf/regionserver

hadoop100
hadoop101
hadoop102

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2.4.4 使用 Hadoop 的 jar 包，解决 HBase 和 Hadoop 的 log4j 兼容性问题

 mv $HBASE_HOME/lib/client-facing-thirdparty/slf4j-reload4j-1.7.33.jar $HBASE_HOME/lib/client-facing-thirdparty/slf4j-reload4j-1.7.33.jar.bak

2.4.5 分发给其他节点

scp -r /usr/local/src/hbase root@hadoop102:/usr/local/src

scp -r /usr/local/src/hbase root@hadoop101:/usr/local/src

环境变量

scp -r /etc/profile.d/my_env.sh root@hadoop101:/etc/profile.d

scp -r /etc/profile.d/my_env.sh root@hadoop102:/etc/profile.d

记得source环境变量

source /etc/profile.d/my_env.sh

2.5 启动

2.5.1单点启动

$HBASE_HOME/bin/hbase-daemon.sh start master

2.5.2 群启

$HBASE_HOME/bin/start-hbase.sh

2.6 报错

Error: JAVA_HOME is not set

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2.6.1原因是没配置JAVA_HOME

vim $HBASE_HOME/conf/hbase-env.sh

export JAVA_HOME=/usr/local/software/jdk/jdk1.8.0_131/

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记得要分发给其他节点，其他节点的JAVA_HOME可能也不同，需要注意

重新启动
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Failed to load class "org.slf4j.impl.StaticLoggerBinder"

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如果启动一直报
Defaulting to no-operation (NOP) logger implementation
请看
2.4.4 使用 Hadoop 的 jar 包，解决 HBase 和 Hadoop 的 log4j 兼容性问题
如果还是有，看是哪个节点报错，直接删除，再重新把hbase重新分发过去