单节点Zookeeper+Hadoop+Hbase搭建

※1 、软件环境

应用版本
Server:
公网IP:
 
内网IP:192.168.167.33
 
Zookeeper:
软件包版本：apache-zookeeper-3.6.3-bin.tar.gz
 
软件路径：/usr/local/zookeeper
 
Hadoop:
软件包版本：hadoop-3.3.1.tar.gz
 
软件路径：/usr/local/hadoop
 
Hbase:
软件包版本：hbase-2.4.9-bin.tar.gz
 
软件路径：/usr/local/hbase

※2、安装Hadoop此处采用Hadoop伪分布式安装模式（单节点）
安装前的准备

永久更改主机名hostname为master-node
更改主机host文件
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6
192.168.167.33 master-node
 
hostnamectl set-hostname master-node --static
2-1、JDK安装   或者参考：JDK安装

JDK安装
#上传jdk的包 143/data/soft/jdk-8u251-linux-x64.rpm
 
rpm -ivh jdk-8u251-linux-x64.rpm
#环境配置
vim /etc/profile配置
 
export JAVA_HOME=/usr/java/jdk1.8.0_251-amd64
export PATH=$JAVA_HOME/bin:$PATH
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tool.jar
 
#刷新变量
source /etc/profile
 
#关闭SELINUX
 
setenforce 0 >/dev/null 2>&1
sed -i 's/^SELINUX=enforcing/SELINUX=disabled/g' /etc/sysconfig/selinux
sed -i 's/^SELINUX=enforcing/SELINUX=disabled/g' /etc/selinux/config
 
#查看关闭SELINUX
sestatus

2-2、正式安装

Hadoop安装
cd /usr/local/ && wget https://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-3.3.1/hadoop-3.3.1.tar.gz
#解压缩
tar -xzvf hadoop-3.3.1.tar.gz
 
#重命名
mv hadoop-3.3.1 hadoop
 
#配置环境变量：将以下几行添加到配置文件末尾，保存退出
vim /etc/profile
 
export HADOOP_HOME=/usr/local/hadoop/
export LD_LIBRARY_PATH=$HADOOP_HOME/lib/native
export HADOOP_COMMON_LIB_NATIVE_DIR=/usr/local/hadoop/lib/native
export HADOOP_OPTS="-Djava.library.path=/usr/local/hadoop/lib"
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/sbin:$HADOOP_HOME/bin
 
#刷新环境变量
source /etc/profile
hadoop version #测试是否配置成功
################出现下面的状态是成功
Hadoop 3.3.1
Source code repository https://github.com/apache/hadoop.git -r a3b9c37a397ad4188041dd80621bdeefc46885f2
Compiled by ubuntu on 2021-06-15T05:13Z
Compiled with protoc 3.7.1
From source with checksum 88a4ddb2299aca054416d6b7f81ca55
This command was run using /usr/local/hadoop/share/hadoop/common/hadoop-common-3.3.1.jar
################
修改hadoop的5个配置文件
#1、vim /usr/local/hadoop/etc/hadoop/hadoop-env.sh #添加如下一行变量
export JAVA_HOME=/usr/java/jdk1.8.0_251-amd64
 
#2、vim /usr/local/hadoop/etc/hadoop/core-site.xml #HADOOP-HDFS系统内核文件）
 
<configuration>
 
<property>
<name>fs.default.name</name>
<value>hdfs://0.0.0.0:9000/hbase</value>
<description>The default file system URI</description>
</property>
 
<!--HADOOP TMP-->
<property>
 
<!--这是配置hadoop持久化的目录-->
<name>hadoop.tmp.dir</name>
<value>/home/hadoop/data</value>
</property>
 
</configuration>

#3、vim /usr/local/hadoop/etc/hadoop/mapred-site.xml
 
<configuration>
 
<!--on yarn-->
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
 
 
</configuration>
 
#4、vim /usr/local/hadoop/etc/hadoop/yarn-site.xml ###记得更换IP
 
<configuration>
 
<!-- Site specific YARN configuration properties -->
<!-- YARN (ResourceManager)-->
<property>
<name>yarn.resourcemanager.hostname</name>
<value>192.168.179.131</value>
</property>
<!-- reducer-->
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
 
</configuration>
 
#5、vim /usr/local/hadoop/etc/hadoop/slaves #新增
 
localhost
 
#解决互信问题
 
cd /root/
ssh-keygen -t rsa
ssh-copy-id -i .ssh/id_rsa root@0.0.0.0
ssh-copy-id -i .ssh/id_rsa root@localhost
ssh-copy-id -i .ssh/id_rsa root@master-node
 
######
ssh-copy-id -i .ssh/id_rsa root@0.0.0.0
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: ".ssh/id_rsa.pub"
The authenticity of host '0.0.0.0 (0.0.0.0)' can't be established.
ECDSA key fingerprint is SHA256:4J4i1IaGL4b7Bb42kBXzV7FFMmHYjR090z+6juNzkZ4.
ECDSA key fingerprint is MD5:73:f1:95:60:ae:a4:39:82:30:86:d3:fd:37:05:a8:50.
Are you sure you want to continue connecting (yes/no)? yes
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
root@0.0.0.0's password:
 
Number of key(s) added: 1
 
Now try logging into the machine, with: "ssh 'root@0.0.0.0'"
and check to make sure that only the key(s) you wanted were added.
######
ssh root@0.0.0.0
Last login: Wed Dec 22 13:58:06 2021 from 192.168.167.1
###
 
#启动Hadoop节点
 
hdfs namenode -format #中间没有报错并且最后显示如下信息表示格式化成功
...
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at master-node/192.168.167.1
************************************************************/
 
格式化完成后，系统会在dfs.data.dir目录下生成元数据信息。
#目录在/home/hadoop/data/dfs/name/current#
输入 start-all.sh 启动
报错
1、
############### 大致意思是没有在配置文件中定义用户 如果不是root启动的 还需要指定用户
Starting namenodes on [0.0.0.0]
ERROR: Attempting to operate on hdfs namenode as root
ERROR: but there is no HDFS_NAMENODE_USER defined. Aborting operation.
Starting datanodes
ERROR: Attempting to operate on hdfs datanode as root
ERROR: but there is no HDFS_DATANODE_USER defined. Aborting operation.
Starting secondary namenodes [master-node]
ERROR: Attempting to operate on hdfs secondarynamenode as root
ERROR: but there is no HDFS_SECONDARYNAMENODE_USER defined. Aborting operation.
2021-12-22 16:39:30,980 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting resourcemanager
ERROR: Attempting to operate on yarn resourcemanager as root
ERROR: but there is no YARN_RESOURCEMANAGER_USER defined. Aborting operation.
Starting nodemanagers
ERROR: Attempting to operate on yarn nodemanager as root
ERROR: but there is no YARN_NODEMANAGER_USER defined. Aborting operation.
##############
 
vim /usr/local/hadoop/sbin/start-dfs.sh ###增加
 
HDFS_DATANODE_USER=root
HADOOP_SECURE_DN_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root
 
vim /usr/local/hadoop/sbin/stop-dfs.sh ###增加
HDFS_DATANODE_USER=root
HADOOP_SECURE_DN_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root
 
 
vim /usr/local/hadoop/sbin/start-yarn.sh ###增加
YARN_RESOURCEMANAGER_USER=root
HADOOP_SECURE_DN_USER=yarn
YARN_NODEMANAGER_USER=root
 
vim /usr/local/hadoop/sbin/stop-yarn.sh ###增加
YARN_RESOURCEMANAGER_USER=root
HADOOP_SECURE_DN_USER=yarn
YARN_NODEMANAGER_USER=root
 
重新执行
cd /usr/local/hadoop/sbin && ./start-all.sh
###结果
WARNING: HADOOP_SECURE_DN_USER has been replaced by HDFS_DATANODE_SECURE_USER. Using value of HADOOP_SECURE_DN_USER.
Starting namenodes on [0.0.0.0]
上一次登录：三 12月 22 16:57:48 CST 2021从 192.168.167.1pts/2 上
Starting datanodes
上一次登录：三 12月 22 17:06:03 CST 2021pts/2 上
Starting secondary namenodes [master-node]
上一次登录：三 12月 22 17:06:06 CST 2021pts/2 上
2021-12-22 17:06:20,555 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting resourcemanager
上一次登录：三 12月 22 17:06:12 CST 2021pts/2 上
Starting nodemanagers
上一次登录：三 12月 22 17:06:22 CST 2021pts/2 上
######
2、不管是启动还是关闭hadoop集群，系统都会报如下错误：
WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
解决方案
vim /usr/local/hadoop/etc/hadoop/log4j.properties #在文件末尾添加如下一句，保存退出
log4j.logger.org.apache.hadoop.util.NativeCodeLoader=Error
 
3、端口问题
HDFS管理界面（NameNode）：http://192.168.167.33:50070
登录MR管理界面： http://192.168.167.33:8088
 
#8088端口能访问的到 50070不能原因是:
 
Hadoop2.x的namenode界面访问端口默认是：50070
Hadoop3.x的namenode界面访问端口默认是：9870
 
通过修改hdfs-site.xml中dfs.namenode.http-address参数来修改：
vim /usr/local/hadoop/etc/hadoop/hdfs-site.xml ##增加
 
<configuration>
<property>
 
<name>dfs.namenode.http-address</name>
 
<value>0.0.0.0:50070</value>
 
</property>
</configuration>
 
stop-all.sh  #关闭
start-all.sh #启动
 
#执行 jps 验证集群是否启动成功 #显示以下几个进程说明启动成功
 
11824 NameNode #可有可无
15536 Jps
12481 ResourceManager #非常重要
12610 NodeManager #可有可无
12183 SecondaryNameNode #重要
11963 DataNode #可有可无

※3、安装Zookeeper此处采用单机模式

Zookeeper安装
cd /usr/local/  && wget https://mirrors.tuna.tsinghua.edu.cn/apache/zookeeper/zookeeper-3.6.3/apache-zookeeper-3.6.3.tar.gz
 
#解压缩
tar xzvf apache-zookeeper-3.6.3-bin.tar.gz
 
#重命名
mv apache-zookeeper-3.6.3-bin zookeeper
 
#添加环境变量
vim /etc/profile
export ZOO_HOME=/usr/local/zookeeper
 
#刷新环境变量
source /etc/profile
 
#配置zookeeper。将配置模板生成为配置文件，生成dataDir目录，修改参数
cd /usr/local/zookeeper/conf && ls
 
configuration.xsl log4j.properties zoo_sample.cfg
 
#生成配置文件
cp zoo_sample.cfg zoo.cfg
 
#生成dataDir目录
mkdir -p /usr/local/zookeeper/data && mkdir -p /usr/local/zookeeper/data/log
 
#添加如下参数
vim zoo.cfg
dataDir=/usr/local/zookeeper/data #已有，修改即可
dataLogDir=/usr/local/zookeeper/data/log
server.1=0.0.0.0:2888:3888
 
#在dataDir目录下生成myid文件
echo 1 > /usr/local/zookeeper/data/myid #单机模式只有一台机器，故它是集群中的1号机器
 
#开启zookeeper集群节点
zkServer.sh start   ##不生效就用: /usr/local/zookeeper/bin/zkServer.sh start
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg
Starting zookeeper ... STARTED
 
 
#检查集群状态或者节点角色
jps #出现QuorumPeerMain代表zookeeper正常运转
89138 NodeManager
90374 Jps
88701 SecondaryNameNode
90333 QuorumPeerMain
89004 ResourceManager
88335 NameNode
88478 DataNode
 
#单机模式，只有一种角色standalone
/usr/local/zookeeper/bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Mode: standalone
 
 
#关闭zookeeper集群节点
/usr/local/zookeeper/bin/zkServer.sh stop
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg
Stopping zookeeper ... STOPPE
 
jps
89138 NodeManager
90983 Jps
88701 SecondaryNameNode
89004 ResourceManager
88335 NameNode
88478 DataNode
 
/usr/local/zookeeper/bin/zkServer.sh status
ZooKeeper JMX enabled by default
Using config: /usr/local/zookeeper/bin/../conf/zoo.cfg
Client port found: 2181. Client address: localhost. Client SSL: false.
Error contacting service. It is probably not running.

※4、安装Hbase单机模式

hbase安装
cd /usr/local/  && wget https://mirrors.tuna.tsinghua.edu.cn/apache/hbase/2.4.9/hbase-2.4.9-bin.tar.gz
 
#解压缩
tar xzvf hbase-2.4.9-bin.tar.gz
 
#重命名
mv hbase-2.4.9 hbase
 
#添加环境变量
vim /etc/profile
export HBASE_HOME=/usr/local/hbase    #添加变量：
#在PATH变量后面添加：:$HBASE_HOME/bin
 
##########################最终的环境变量(可以把之前添加的变量删除整份粘贴就好)
export JAVA_HOME=/usr/java/jdk1.8.0_251-amd64
export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export PATH=$JAVA_HOME/bin:$PATH
 
export HBASE_HOME=/usr/local/hbase
export PATH=$PATH:$HBASE_HOME/bin
export HADOOP_HOME=/usr/local/hadoop
export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"
ZOOKEEPER_HOME=/usr/local/zookeeper/
export PATH=$ZOOKEEPER_HOME/bin:$PATH
PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$HBASE_HOME/bin
export JAVA_HOME HBASE_HOME HADOOP_HOME HBASE_HOME PATH
 
##########################
#刷新环境变量
source /etc/profile
 
#修改hbase配置目录下4个配置文件 在/usr/local/hbase/conf目录下
#1、cd /usr/local/hbase/conf/ && vim hbase-env.sh
#将以下4个变量取消注释，修改参数如下
export JAVA_HOME=/usr/java/jdk1.8.0_251-amd64/
export HBASE_CLASSPATH=/usr/local/hbase/conf
export HBASE_PID_DIR=/var/hadoop/pids
export HBASE_MANAGES_ZK=false #不使用HBase自带的zookeeper
 
#2、拷贝zoo.cfg
cd /usr/local/hbase/conf/
我们使用的不是HBase自带的zookeeper，而是之前已经装好的，所以需要将我们现在的zookeeper的zoo.cfg文件复制到hbase的conf目录下
cp /usr/local/zookeeper/conf/zoo.cfg /usr/local/hbase/conf/
 
#3、cd /usr/local/hbase/conf/ &&  vim hbase-site.xml  (可以整份粘贴注意里面的端口和IP地址)
 
<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.rootdir</name>
<value>hdfs://0.0.0.0:9000/hbase</value>
<!--这个地方注意如果想改端口 提前在/usr/local/hadoop/etc/hadoop/core-site.xml 文件中改 -->
</property>
 
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
</property>
 
 
<property>
<name>hbase.zookeeper.quorum</name>
<value>master-node</value>
</property>
 
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
<description>zookeeper端口</description>
</property>
 
<property>
<name>hbase.regionserver.ipc.address</name>
<value>0.0.0.0</value>
</property>
 
<property>
<name>hbase.temp.dir</name>
<value> /var/hbase</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/usr/local/zookeeper/data</value>
</property>
<property>
<name>hbase.master.info.port</name>
<value>60000</value>
</property>
<property>
<name>hbase.unsafe.stream.capability.enforce</name>
<value>false</value>
</property>
 
 
</configuration>
 
#4、cat regionservers
localhost
 
#启动HBase。在master节点上运行
start-hbase.sh
 
#启动zookeeper
zkServer.sh start
 
#查看zookeeper状态以及角色
zkServer.sh status
 
#启动hadoop
start-all.sh
 
#启动Hbase
start-hbase.sh
 
jps
#HBase启动成功：显示HMaster和HRegionServer
#hadoop启动成功：显示NameNode、SecondaryNameNode、DataNode、ResourceManager和NodeManager
#zookeeper启动成功：显示QuorumPeerMain
 
89138 NodeManager
100306 Jps
99030 HRegionServer
91113 QuorumPeerMain
98889 HMaster
88701 SecondaryNameNode
89004 ResourceManager
88335 NameNode
88478 DataNode
 
#进入shell模式
hbase shell
 
hbase(main):001:0> status
1 active master, 0 backup masters, 1 servers, 0 dead, 12.0000 average load
Took 0.5168 seconds
 
#停止HBase,在master节点上运行
stop-hbase.sh
 
#关闭zookeeper
zkServer.sh stop
 
#关闭hadoop
stop-all.sh
 
#查看
jps
 
#遇到的问题
输入jps发现HRegionServer没起来，启动失败。解决方法是regionservers文件的值必须为localhost，输入主机名或IP均会导致启动失败
查看hbase状态发现 查询不到
hbase shell
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/hbase/lib/client-facing-thirdparty/slf4j-log4j12-1.7.30.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]
2021-12-23 14:37:01,403 WARN [main] util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
HBase Shell
Use "help" to get list of supported commands.
Use "exit" to quit this interactive shell.
For Reference, please visit: http://hbase.apache.org/2.0/book.html#shell
Version 2.4.9, rf844d09157d9dce6c54fcd53975b7a45865ee9ac, Wed Oct 27 08:48:57 PDT 2021
Took 0.0044 seconds
hbase:001:0> status
 
ERROR: org.apache.hadoop.hbase.ipc.ServerNotRunningYetException: Server is not running yet
at org.apache.hadoop.hbase.master.HMaster.checkServiceStarted(HMaster.java:2817)
at org.apache.hadoop.hbase.master.MasterRpcServices.isMasterRunning(MasterRpcServices.java:1205)
at org.apache.hadoop.hbase.shaded.protobuf.generated.MasterProtos$MasterService$2.callBlockingMethod(MasterProtos.java)
at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:392)
at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:133)
at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:354)
at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:334)
 
For usage try 'help "status"'
 
Took 11.1160 seconds
hbase:002:0>
 
#查看日志发现
at org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper$5.operationComplete(FanOutOneBlockAsyncDFSOutputHelper.java:477) at org.apache.hadoop.hbase.io.asyncfs.FanOutOneBlockAsyncDFSOutputHelper$5.operationComplete(FanOutOneBlockAsyncDFSOutputHelper.java:472)
 
#解决方案在vim /usr/local/hbase/conf/hbase-site.xml 增加下面一段
 
<property>
 
<name>hbase.wal.provider</name>
 
<value>filesystem</value>
 
</property>
 
#重启hbase
stop-hbase.sh
start-hbase.sh
hbase shell
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/hbase/lib/client-facing-thirdparty/slf4j-log4j12-1.7.30.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]
2021-12-23 15:30:10,560 WARN [main] util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
HBase Shell
Use "help" to get list of supported commands.
Use "exit" to quit this interactive shell.
For Reference, please visit: http://hbase.apache.org/2.0/book.html#shell
Version 2.4.9, rf844d09157d9dce6c54fcd53975b7a45865ee9ac, Wed Oct 27 08:48:57 PDT 2021
Took 0.0046 seconds
hbase:001:0> status
1 active master, 0 backup masters, 1 servers, 0 dead, 2.0000 average load
Took 1.7662 seconds
#成功

报错1：

这个问题是这个jar包重复了

Found binding in [jar:file:/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
Found binding in [jar:file:/usr/local/hbase/lib/client-facing-thirdparty/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]

删除 :/usr/local/hbase/lib/client-facing-thirdparty/slf4j-log4j12-1.7.30.jar 这个jar包 不能删除/usr/local/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.30.jar这个jar包

不然就会得到

SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.

正确的是

报错2：JAVA_HOME is not set and Java could not be found

解决办法

hbase下conf文件下的hbase-env.sh文件中的java_home的环境变量没有配置或者是被注释了

这样就可以了

命令参数
重启hdoop
stop-all.sh
start-all.sh
 
重启zookeeper
zkServer.sh stop
zkServer.sh start
 
重启hbase
stop-hbase.sh
start-hbase.sh
 
start-all.sh && zkServer.sh start && start-hbase.sh
stop-all.sh && zkServer.sh stop && stop-hbase.sh
 
# hbase shell
 
hbase(main):001:0> status
都是一些hbase报错的解决方案
https://www.w3cschool.cn/hbase_doc/hbase_doc-6yxp2ze8.html