This is a series of tutorials I installed the software BigData The second, first is Hadoop installation https://www.cnblogs.com/annie666/p/11567690.html
Big Data software installed is to learn the most basic step, although relatively simple, is very easy to make mistakes ah. I hope this detailed tutorial to help other students want to learn big data detours.
References Xiamen woods rain Tutorial: http://dblab.xmu.edu.cn/blog/2139-2/
First, the preparatory work
Installed security software greatest fears is the wrong version. So before installing Hbase, look at the basic preparation official website. (However, the official document has a lot of preparatory work, ah, such as DNS, this is not so complicated we simply determine the version of the problem Hadoop, Hbase, JDK's official website link:. Http://hbase.apache.org/book.html#basic. the Prerequisites )
1.Hadoop
Official documentation recommends installing Hadoop2. *, Because faster and more stable
2.JDK 8
(Java should not yet packed friend, this I will not go into detail)
3.Hadoop version supports relations with Hbase
Therefore, we decided to choose (not on the Tsinghua mirror, you can go to the official website to download and then passed on via FTP server) Hadoop-2.9.2 and Hbase-2.2.0 installed
Tsinghua image download Hadoop-2.9.2
wget https://mirrors.tuna.tsinghua.edu.cn/apache/hadoop/common/hadoop-2.9.2/hadoop-2.9.2.tar.gz
Second, unzip
sudo tar -zxvf ~/hbase-2.2.0-bin.tar.gz -C /usr/local
cd /usr/local
sudo mv ./hbase-2.2.0 ./hbase
sudo chown -R hadoop:hadoop ./hbase
查看安装成功没
/usr/local/hbase/bin/hbase version
若成功，返回下面的信息：
linziyu@iZbp11gznj7n38xkztu64dZ:/usr/local$ /usr/local/hbase/bin/hbase version
2019-10-02 14:00:33,041 INFO [main] util.VersionInfo: HBase 2.2.0
2019-10-02 14:00:33,042 INFO [main] util.VersionInfo: Source code repository git://diocles.local/Volumes/hbase-1.1.5/hbase revision=239b80456118175b340b2e562a5568b5c744252e
2019-10-02 14:00:33,042 INFO [main] util.VersionInfo: Compiled by ndimiduk on Wed Oct 02 14:03:05 CST 2019
2019-10-02 14:00:33,042 INFO [main] util.VersionInfo: From source with checksum 7ad8dc6c5daba19e4aab081181a2457d
三、单机式配置
在/usr/local/hbase/conf/下
1.修改hbase-env.sh
export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64 #忘记自己的javahome可以打开hadoop-env.sh看自己以前怎么写的
2.修改hdfs-site.xml
和官网一模一样https://hbase.apache.org/book.html#quickstart
<configuration>
<property>
<name>hbase.rootdir</name>
<value>file:///home/testuser/hbase</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/home/testuser/zookeeper</value>
</property>
<property>
<name>hbase.unsafe.stream.capability.enforce</name>
<value>false</value>
<description>
Controls whether HBase will check for stream capabilities (hflush/hsync).
Disable this if you intend to run on LocalFileSystem, denoted by a rootdir
with the 'file://' scheme, but be mindful of the NOTE below.
WARNING: Setting this to false blinds you to potential data loss and
inconsistent system state in the event of process and/or node failures. If
HBase is complaining of an inability to use hsync or hflush it's most
likely not a false positive.
</description>
</property>
</configuration>
四、测试运行Hbase
第一步 启动Hadoop
由于Hbase依赖hadoop，所以先得启动Hadoop
输入jps，若非Data、Name、SecondaryNameNode三个都出现了，开启一下Hadoop吧！
cd /usr/local/hadoop-2.9.2
./sbin/start-dfs.sh
第二步 启动Hbase
使用 ./bin/start-hbase 启动Hbase
cd /usr/local/hbase
./bin/start-hbase.sh
输入JPS检查进程，若出现HMaster，独立式配置成功！
hadoop@iZbp11gznj7n38xkztu64dZ:/usr/local/hbase$ jps
NameNode #1
DataNode #2
SecondaryNameNode #3
HMaster #4
Jps #5
start-hbase之后可以访问UI界面
第三步 使用hbase shell
cd /usr/local/hbase
./bin/hbase shell
耐心等待后会出现下面的信息：
2019-10-02 14:04:04,826 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 2.2.0, rUnknown, Tue Jun 11 04:30:30 UTC 2019 Took 0.0066 seconds hbase(main):001:0> create 'test','cf'
然后开始编程吧！
基础知识：行键/列族/列限定符/时间戳
1.创建表：
语法：create 'tablename', 'columnname'
hbase(main):001:0> create 'test', 'cf' 0 row(s) in 0.4170 seconds => Hbase::Table - test
然后可通过 list ‘test’ 查看创建的表
hbase(main):002:0> list 'test'
TABLE
test
1 row(s) in 0.0180 seconds
=> ["test"]
或通过 describe ‘test’ 查看详细配置信息
hbase(main):003:0> describe 'test'
Table test is ENABLED
test
COLUMN FAMILIES DESCRIPTION
{NAME => 'cf', VERSIONS => '1', EVICT_BLOCKS_ON_CLOSE => 'false', NEW_VERSION_BEHAVIOR => 'false', KEEP_DELETED_CELLS => 'FALSE', CACHE_DATA_ON_WRITE =>
'false', DATA_BLOCK_ENCODING => 'NONE', TTL => 'FOREVER', MIN_VERSIONS => '0', REPLICATION_SCOPE => '0', BLOOMFILTER => 'ROW', CACHE_INDEX_ON_WRITE => 'f
alse', IN_MEMORY => 'false', CACHE_BLOOMS_ON_WRITE => 'false', PREFETCH_BLOCKS_ON_OPEN => 'false', COMPRESSION => 'NONE', BLOCKCACHE => 'true', BLOCKSIZE
=> '65536'}
1 row(s)
Took 0.9998 seconds
2.增删改查
（1）插入&更新
使用put命令插入或更新单元格
hbase(main):003:0> put 'test', 'row1', 'cf:a', 'value1' 0 row(s) in 0.0850 seconds hbase(main):004:0> put 'test', 'row2', 'cf:b', 'value2' 0 row(s) in 0.0110 seconds hbase(main):005:0> put 'test', 'row3', 'cf:c', 'value3' 0 row(s) in 0.0100 seconds
然后可使用scan命令查看整张表中数据
hbase(main):009:0> scan 'test'
ROW COLUMN+CELL
row1 column=cf:a, timestamp=1569996475448, value=value1
row2 column=cf:b, timestamp=1569996503176, value=value2
row3 column=cf:c, timestamp=1569996607878, value=value3
（2）删除
使用drop删除整张表，注意：要更改删除时必须先disable
disable 'test' #第一步 让表不可用（必须先这样）
drop 'test' #第二步 删除表
（3）查看
get 'test', 'row2'
COLUMN CELL
cf:b timestamp=1569996503176, value=value2
退出quit：To exit the HBase Shell and disconnect from your cluster, use the quit command. HBase is still running in the background.
五、关闭Hbase
cd /usr/local/hbase
./bin/stop-hbase.sh