Detailed tutorial on installing Hbase 2.3.5 on Vmware + Ubuntu18.04

Preface

The previous article installed Hadoop, and this article will install Hbase. Of course, if you just want to do a simple experiment, it is actually quite simple. It only takes about ten minutes to complete this experiment. 😄

Install Hbase2.3.5

Hbase 2.3.5 installation address: Hbase 2.3.5 Tsinghua mirror source address

After downloading, upload the file to VMware and move it to /usr/local

sudo mv hbase-2.3.5-bin.tar.gz /usr/local

Unzip hbase

tar -zxvf hbase-2.3.5-bin.tar.gz

Rename the unzipped hbase-2.3.5 to hbase for later configuration

sudo mv /usr/local/hbase-2.3.5 /usr/local/hbase

Configuring environment variables

Add the bin directory under hbase to the path. In this way, you don’t need to go to the /usr/local/hbase directory to start hbase, which greatly facilitates the use of hbase. The following part of the tutorial still switches to the /usr/local/hbase directory for operation, which helps beginners understand the operation process. Once you become proficient, you don't need to switch.
Edit ~/.bashrc file

vi ~/.bashrc

If PATH has not been introduced, please add the following content to the end of the ~/.bashrc file:

export PATH=$PATH:/usr/local/hbase/bin 

After editing is complete, execute the source command to make the above configuration take effect immediately in the current terminal. The command is as follows:

source ~/.bashrc

Add HBase permissions

cd /usr/local
sudo chown -R hadoop ./hbase

Test version

/usr/local/hbase/bin/hbase version

After the command is executed, the output information screenshot is as follows:

The above output message indicates that HBase has been installed successfully. Next, we will configure HBase in stand-alone mode.

Configure pseudo stand-alone mode configuration /usr/local/hbase/conf/hbase-env.sh. Configure the JAVA environment variables and add the configuration HBASE_MANAGES_ZK to true. Use the vi command to open and edit hbase-env.sh. The command is as follows:

vim /usr/local/hbase/conf/hbase-env.sh

Configure JAVA environment variables. The default installation directory of jdk is /usr/lib/jvm/java-1.7.0-openjdk, then JAVA _HOME = /usr/lib/jvm/java-7-openjdk-amd64, where java-1.7.0-openjdk is your jdk version; configure HBASE_MANAGES_ZK to true, which means that hbase manages zookeeper itself and does not require a separate zookeeper. These variables are already configured in hbase-env.sh. You just need to delete the # in front and modify the configuration content (# represents a comment):

export JAVA_HOME=/usr/lib/jvm/default-java
export HBASE_MANAGES_ZK=true

After adding, save and exit.

Configure /usr/local/hbase/conf/hbase-site.xml
Open and edit hbase-site.xml with the following command:

vim /usr/local/hbase/conf/hbase-site.xml

Before starting HBase, you need to set the property hbase.rootdir to specify the storage location of HBase data. If you do not set it, hbase.rootdir defaults to /tmp/hbase-${user.name}, which means that data will be lost every time the system is restarted. Here it is set to the hbase-tmp folder in the HBase installation directory (/usr/local/hbase/hbase-tmp), add the following configuration:

<configuration>
        <property>
                <name>hbase.rootdir</name>
                <value>file:///usr/local/hbase/hbase-tmp</value>
        </property>
</configuration>

Save and exit

Test command run

Switch to the HBase installation directory /usr/local/hbase and then start HBase. The command is as follows:

cd /usr/local/hbase
bin/start-hbase.sh
bin/hbase shell

After starting hbase, test simple table creation commands, data insertion commands, data deletion commands, etc.

Create a table

create 'student','Sname','Ssex','Sage','Sdept','course'

insert

put 'student','95001','course:math','80'

delete

delete 'student','95001','Ssex'

Query

get 'student','95001'

The running screenshots are as follows:

Summarize

The experiment of configuring a stand-alone version of Hbase is relatively simple and can be completed quickly, but learning about the big data ecosystem is not that simple. This is just a simple learning experiment in the basic introductory stage. For learning big data, you still need to maintain continuous learning! come on!

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