Hive映射HBase表的几种方式

1.Hive内部表，语句如下

CREATE TABLE ods.s01_buyer_calllogs_info_ts(
key string comment "hbase rowkey",
buyer_mobile string comment "手机号",
contact_mobile string comment "对方手机号",
call_date string comment "发生时间",
call_type string comment "通话类型",
init_type string comment "0-被叫,1-主叫",
other_cell_phone string comment "对方手机号",
place string comment "呼叫发生地",
start_time string comment "发生时间",
subtotal string comment "通话费用",
use_time string comment "通话时间（秒）"
)
STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,record:buyer_mobile,record:contact_mobile,record:call_date,record:call_type,record:init_type,record:other_cell_phone,record:place,record:start_time,record:subtotal,record:use_time")
TBLPROPERTIES("hbase.table.name" = "s01_buyer_calllogs_info_ts");

建好表之后，进入hbase shell执行list能看到表s01_buyer_calllogs_info_ts，hive drop掉此表时，hbase也被drop。

2.Hive外部表，语句如下，

create 'buyer_calllogs_info_ts', 'record', {SPLITS_FILE => 'hbase_calllogs_splits.txt'}

CREATE EXTERNAL TABLE ods.s10_buyer_calllogs_info_ts(
key string comment "hbase rowkey",
buyer_mobile string comment "手机号",
contact_mobile string comment "对方手机号",
call_date string comment "发生时间",
call_type string comment "通话类型",
init_type string comment "0-被叫,1-主叫",
other_cell_phone string comment "对方手机号",
place string comment "呼叫发生地",
start_time string comment "发生时间",
subtotal string comment "通话费用",
use_time string comment "通话时间（秒）"
)
STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,record:buyer_mobile,record:contact_mobile,record:call_date,record:call_type,record:init_type,record:other_cell_phone,record:place,record:start_time,record:subtotal,record:use_time")
TBLPROPERTIES("hbase.table.name" = "buyer_calllogs_info_ts");

从方式需要先在hbase建好表，然后在hive中建表，hive drop掉表，hbase表不会变。

3.Hive映射HBase的列族

CREATE TABLE hbase_table_1(value map<string,int>, row_key int)
STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'
WITH SERDEPROPERTIES (
"hbase.columns.mapping" = "cf:,:key"
);
INSERT OVERWRITE TABLE hbase_table_1 SELECT map(bar, foo), foo FROM pokes
WHERE foo=98 OR foo=100;

　　在hbase查看结果

hbase(main):012:0> scan "hbase_table_1"
ROW                          COLUMN+CELL
 100                         column=cf:val_100, timestamp=1267739509194, value=100
 98                          column=cf:val_98, timestamp=1267739509194, value=98
2 row(s) in 0.0080 seconds
  在hive查看结果

hive> select * from hbase_table_1;
Total MapReduce jobs = 1
Launching Job 1 out of 1
...
OK
{"val_100":100}	100
{"val_98":98}	98
Time taken: 3.808 seconds

两种方式可以根据需求确定，详细参见官方文档。