（1） 建立hbase識別的表
CREATE TABLE hbase_table_1(key int, value string) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,cf1:val") TBLPROPERTIES ("hbase.table.name" = "xyz");
hbase.table.name 定義在hbase的table名稱，多列時，data:1，data:2；多列族時，data1:1,data2:1；
hbase.columns.mapping 定義在hbase的列族，裡面的:key 是固定值而且要保證在表pokes中的foo欄位是唯一值

建立有分割槽的表

CREATE TABLE hbase_table_1(key int, value string)  partitioned by (day string) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,cf1:val") TBLPROPERTIES ("hbase.table.name" = "xyz");

不支援表的修改
會提示不能修改非本地表。
hive> ALTER TABLE hbase_table_1 ADD PARTITION (day = '2012-09-22');
FAILED: Error in metadata: Cannot use ALTER TABLE on a non-native table FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask 

（2） 使用sql匯入資料
新建hive的資料表
create table pokes(foo int,bar string)row format delimited fields terminated by ',';
批量匯入資料
load data local inpath '/home/1.txt' overwrite into table pokes;

1.txt檔案的內容為 
1,hello 
2,pear 
3,world

使用sql匯入hbase_table_1

<span style="color: rgb(255, 0, 0);">SET hive.hbase.bulk=<span class="code-keyword" style="background-color: inherit;">true</span>;</span>
 

匯入有分割槽的表

insert overwrite table hbase_table_1  partition (day='2012-01-01') select * from pokes;

(3) 檢視資料 
hive> select * from hbase_table_1;
OK
1 hello
2 pear
3 world

(注：與hbase整合的有分割槽的表存在個問題  select * from table查詢不到資料，select key,value from table可以查到資料)

（4）登入Hbase去檢視資料
hbase shell

hbase(main):002:0> describe 'xyz' 
DESCRIPTION ENABLED {NAME => 'xyz', FAMILIES => [{NAME => 'cf1', BLOOMFILTER => 'NONE', REPLICATION_S true 
COPE => '0', COMPRESSION => 'NONE', VERSIONS => '3', TTL => '2147483647', BLOCKSI 
ZE => '65536', IN_MEMORY => 'false', BLOCKCACHE => 'true'}]} 
1 row(s) in 0.0830 seconds
hbase(main):003:0> scan 'xyz'
ROW COLUMN+CELL 
1 column=cf1:val, timestamp=1331002501432, value=hello 
2 column=cf1:val, timestamp=1331002501432, value=pear 
3 column=cf1:val, timestamp=1331002501432, value=world

這時在Hbase中可以看到剛才在hive中插入的資料了。

7 對於在hbase已經存在的表，在hive中使用CREATE EXTERNAL TABLE來建立
例如hbase中的表名稱為test1,欄位為 a: , b: ,c: 在hive中建表語句為

create external table hive_test (key int,gid map<string,string>,sid map<string,string>,uid map<string,string>) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES ("hbase.columns.mapping" ="a:,b:,c:")  TBLPROPERTIES  ("hbase.table.name" = "test1");
在hive中建立好表後，查詢hbase中test1表內容
Select * from hive_test;

OK
1 {"":"qqq"} {"":"aaa"} {"":"bbb"}
2 {"":"qqq"} {} {"":"bbb"}

查詢gid欄位中value值的方法為
select gid[''] from hbase2;
得到查詢結果
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_201203052222_0017, Tracking URL = http://localhost:50030/jobdetails.jsp?jobid=job_201203052222_0017
Kill Command = /opt/mapr/hadoop/hadoop-0.20.2/bin/../bin/hadoop job -Dmapred.job.tracker=maprfs:/// -kill job_201203052222_0017
2012-03-06 14:38:29,141 Stage-1 map = 0%, reduce = 0%
2012-03-06 14:38:33,171 Stage-1 map = 100%, reduce = 100%
Ended Job = job_201203052222_0017
OK
qqq
qqq

如果hbase表test1中的欄位為user:gid,user:sid,info:uid,info:level，在hive中建表語句為
create external table hive_test(key int,user map<string,string>,info map<string,string>) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES ("hbase.columns.mapping" ="user:,info:")  TBLPROPERTIES  ("hbase.table.name" = "test1");

查詢hbase表的方法為
select user['gid'] from hbase2;

 注：hive連線hbase優化，將HADOOP_HOME/conf中的hbase-site.xml檔案中增加配置

 <property>
   <name>hbase.client.scanner.caching</name>
   <value>10000</value>
 </property>

或者在執行hive語句之前執行hive>set hbase.client.scanner.caching=10000;