Hive HBase 整合(中文)
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./bin/hive -hiveconf hbase.zookeeper.quorum= master,slave-A,slave-B
//所有的zookeeper节点

二、插入数据
启动
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./bin/hive --auxpath /data/soft/hive/lib/hive_hbase-handler.jar,/data/soft/hive/lib/hbase-0.20.3.jar,/data/soft/hive/lib/zookeeper-3.2.2.jar -hiveconf hbase.zookeeper.quorum=slave-001,slave-002,slave-003

hive
1.创建hbase识别的数据库
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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 定义在hbase的table名称
hbase.columns.mapping 定义在hbase的列族



2.使用sql导入数据
i.预先准备数据
a)新建hive的数据表
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CREATE TABLE pokes (foo INT, bar STRING);
b）批量插入数据
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hive> LOAD DATA LOCAL INPATH './examples/files/kv1.txt' OVERWRITE INTO TABLE pokes;
这个文件位于hive的安装目录下，examples/files/kv1.txt

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ii.使用sql导入hbase_table_1
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INSERT OVERWRITE TABLE hbase_table_1 SELECT * FROM pokes WHERE foo=86;
注意，默认的启动会报错的
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.ExecDriver
启动的时候要添加
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-auxpath /data/soft/hive/lib/hive_hbase-handler.jar,/data/soft/hive/lib/hbase-0.20.3.jar,/data/soft/hive/lib/zookeeper-3.2.2.jar

3查看数据
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hive> select * from hbase_table_1;
会显示刚刚插入的数据
86????? val_86

hbase
1.登录hbase
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[root@master hbase]# ./bin/hbase shell

2.查看表结构
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hbase(main):001:0> describe 'xyz'DESCRIPTION ENABLED {NAME => 'xyz', FAMILIES => [{NAME => 'cf1', COMPRESSION => 'NONE', VE true RSIONS => '3', TTL => '2147483647', BLOCKSIZE => '65536', IN_MEMORY => 'false', BLOCKCACHE => 'true'}]} 1 row(s) in 0.7460 seconds

3.查看加载的数据
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hbase(main):002:0> scan 'xyz'ROW COLUMN+CELL 86 column=cf1:val, timestamp=1297690405634, value=val_86 ????????????????????????????????????????????????????
1 row(s) in 0.0540 seconds
可以看到，在hive中添加的数据86，已经在hbase中了

4.添加数据
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' hbase(main):008:0> put 'xyz','100','cf1:val','www.360buy.com' 0 row(s) in 0.0630 seconds

Hive
参看hive中的数据
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hive> select * from hbase_table_1; OK100 www.360buy.com86 val_86Time taken: 8.661 seconds
刚刚在hbase中插入的数据，已经在hive里了

hive访问已经存在的hbase
使用CREATE EXTERNAL TABLE
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CREATE EXTERNAL TABLE hbase_table_2(key int, value string) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'WITH SERDEPROPERTIES ("hbase.columns.mapping" = "cf1:val")TBLPROPERTIES("hbase.table.name" = "some_existing_table");



三、多列和多列族（Multiple Columns and Families）
1．创建数据库
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CREATE TABLE hbase_table_2(key int, value1 string, value2 int, value3 int) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,a:b,a:c,d:e");
2.插入数据
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INSERT OVERWRITE TABLE hbase_table_2 SELECT foo, bar, foo+1, foo+2 FROM pokes WHERE foo=98 OR foo=100;

这个有3个hive的列（value1和value2，value3），2个hbase的列族（a，d）
Hive的2列（value1和value2）对应1个hbase的列族（a，在hbase的列名称b，c），hive的另外1列（value3）对应列（e）位于列族（d）

3.登录hbase查看结构
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hbase(main):003:0> describe "hbase_table_2"DESCRIPTION ENABLED {NAME => 'hbase_table_2', FAMILIES => [{NAME => 'a', COMPRESSION => 'N true ONE', VERSIONS => '3', TTL => '2147483647', BLOCKSIZE => '65536', IN_M EMORY => 'false', BLOCKCACHE => 'true'}, {NAME => 'd', COMPRESSION => 'NONE', VERSIONS => '3', TTL => '2147483647', BLOCKSIZE => '65536', IN _MEMORY => 'false', BLOCKCACHE => 'true'}]} 1 row(s) in 1.0630 seconds

4.查看hbase的数据
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hbase(main):004:0> scan 'hbase_table_2'ROW COLUMN+CELL 100 column=a:b, timestamp=1297695262015, value=val_100 100 column=a:c, timestamp=1297695262015, value=101 100 column=d:e, timestamp=1297695262015, value=102 98 column=a:b, timestamp=1297695242675, value=val_98 98 column=a:c, timestamp=1297695242675, value=99 98 column=d:e, timestamp=1297695242675, value=100 2 row(s) in 0.0380 seconds

5.在hive中查看
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hive>?select?*?from?hbase_table_2; ?? OK ?? 100?????val_100?101?????102?? 98??????val_98??99??????100?? Time?taken:?3.238?seconds ?