Hive与Hbase整合

Posted 2021-02-01 hongten

Hive与Hbase整合

1.文档

　　Hive HBase Integration

 

2.拷贝jar文件

2.1.把Hbase的lib目录下面的jar文件全部拷贝到Hive的lib目录下面

cd /home/hbase/lib
cp ./* /home/hive/lib

 

2.2.把Hive的lib目录下面的hive-hbase-handler-0.13.1.jar拷贝到Hbase的lib目录下面

cp /home/hive/lib/hive-hbase-handler-0.13.1.jar /home/hbase/lib/

 

3.修改Hive/conf目录下面的配置文件

cd /home/hive/conf
vi hive-site.xml

<!-- Hbase zookeeper quorum   -->
<property>
    <name>hbase.zookeeper.quorum</name>
    <value>node1,node2,node3</value>
</property>

 

4.在Hbase中创建表

--在Hbase中创建表
create ‘hbase_to_hive_t_user‘, ‘cf_user_info‘

hbase(main):010:0> desc ‘hbase_to_hive_t_user‘
Table hbase_to_hive_t_user is ENABLED                                                      
COLUMN FAMILIES DESCRIPTION                                                                
{NAME => ‘cf_user_info‘, DATA_BLOCK_ENCODING => ‘NONE‘, BLOOMFILTER => ‘ROW‘, REPLICATION_S
COPE => ‘0‘, VERSIONS => ‘1‘, COMPRESSION => ‘NONE‘, MIN_VERSIONS => ‘0‘, TTL => ‘FOREVER‘,
 KEEP_DELETED_CELLS => ‘FALSE‘, BLOCKSIZE => ‘65536‘, IN_MEMORY => ‘false‘, BLOCKCACHE => ‘
true‘}                                                                                     
1 row(s) in 0.0650 seconds

 

5.在Hbase表中插入数据

--插入数据
put ‘hbase_to_hive_t_user‘, ‘1‘, ‘cf_user_info:name‘,‘Tom‘
put ‘hbase_to_hive_t_user‘, ‘1‘, ‘cf_user_info:age‘,24
put ‘hbase_to_hive_t_user‘, ‘2‘, ‘cf_user_info:name‘,‘John‘
put ‘hbase_to_hive_t_user‘, ‘2‘, ‘cf_user_info:age‘,18
put ‘hbase_to_hive_t_user‘, ‘3‘, ‘cf_user_info:name‘,‘Steven‘
put ‘hbase_to_hive_t_user‘, ‘3‘, ‘cf_user_info:age‘,38


scan ‘hbase_to_hive_t_user‘
hbase(main):009:0> scan ‘hbase_to_hive_t_user‘
ROW                     COLUMN+CELL                                                        
 1                      column=cf_user_info:age, timestamp=1546754368046, value=24         
 1                      column=cf_user_info:name, timestamp=1546754367972, value=Tom       
 2                      column=cf_user_info:age, timestamp=1546754368166, value=18         
 2                      column=cf_user_info:name, timestamp=1546754368103, value=John      
 3                      column=cf_user_info:age, timestamp=1546754370447, value=38         
 3                      column=cf_user_info:name, timestamp=1546754368211, value=Steven    
3 row(s) in 0.1600 seconds

 

6.在Hive中创建数据库表关联Hbase里面的表

--如果你想要Hive去访问Hbase中已经存在的表，你可以创建外部表(CREATE EXTERNAL TABLE)

CREATE EXTERNAL TABLE hive_access_hbase_table_t_user (key string, name string, age int)
STORED BY ‘org.apache.hadoop.hive.hbase.HBaseStorageHandler‘
WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,cf_user_info:name,cf_user_info:age")
TBLPROPERTIES ("hbase.table.name" = "hbase_to_hive_t_user");

 

6.1.在Hive中查询Hbase表里的数据

select * from hive_access_hbase_table_t_user;

hive> select * from hive_access_hbase_table_t_user;
OK
1    Tom    24
2    John    18
3    Steven    38
Time taken: 0.325 seconds, Fetched: 3 row(s)

 

7.Reference

https://blog.csdn.net/qq_33689414/article/details/80328665

https://blog.csdn.net/aaronhadoop/article/details/28398157

 

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I‘m Hongten

 

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