通过Hive查询 HBase

线上的zipkin的存储是利用的HBase0.94.6，一开始Dev想直接写MR来做离线分析，后来聊了下发现走Hive会提高开发的效率（当然，这里查询HBase的SQL接口还有phoenix，Impala等，只不过都还不够成熟，并且是离线分析不是adhocquery，BTW，前阶段和intel的聊过他们的Hive Over HBase是跳过MR的，效率非常赞，不过钱也略贵了=.=）；

其实用Hive查询HBase非常简单：

//首先在HBase里建一张表并插入几条数据hbase(main):003:0> create 'table_inhbase','cf'0 row(s) in 1.2060 seconds=> Hbase::Table - table_inhbasehbase(main):004:0> listTABLE                                                               table_inhbase                                                        1 row(s) in 0.0350 secondshbase(main):005:0> put 'table_inhbase','row1','cf:a','value1'0 row(s) in 0.0830 secondshbase(main):006:0> put 'table_inhbase','row2','cf:a','value2'0 row(s) in 0.0200 secondshbase(main):007:0> put 'table_inhbase','row3','cf:b','value3'0 row(s) in 0.0180 secondshbase(main):008:0> scan 'table_inhbase'ROW                                        COLUMN+CELL               row1                                      column=cf:a, timestamp=1383736436773,value=value1                                                              row2                                      column=cf:a, timestamp=1383736462917,value=value2                                                              row3                                      column=cf:b, timestamp=1383736476017,value=value3                                                            3 row(s) in 0.0660 seconds//在Hive里创建一个外部表，注意要在hive-site.xml加入ZK,否则会hang住，一直去重试localhost:2181CREATE EXTERNAL TABLE ext_table_inhbase(key string, avalue string,bvaluestring) STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler' WITH SERDEPROPERTIES ("hbase.columns.mapping" ="cf:a,cf:b") TBLPROPERTIES("hbase.table.name" = "table_inhbase");hive> CREATE EXTERNAL TABLE ext_table_inhbase(key string, avaluestring,bvalue string)     > STORED BY'org.apache.hadoop.hive.hbase.HBaseStorageHandler'     > WITH SERDEPROPERTIES("hbase.columns.mapping" = "cf:a,cf:b")     > TBLPROPERTIES("hbase.table.name" ="table_inhbase");OK//注意，这里要加入这2个jar包：hbase-0.94.6-cdh5.4.0.jar，hive-hbase-handler-0.10.0-cdh5.4.0.jar否则会抛出异常hive> select * from ext_table_inhbase;OKrow1    value1  NULLrow2    value2  NULLrow3    NULL    value3Time taken: 0.609 secondshive> select key,avalue from ext_table_inhbase;java.io.IOException: Cannot create an instance of InputSplit.apache.hadoop.hive.hbase.HBaseSplit:Classorg.apache.hadoop.hive.hbase.HBaseSplit not found        at org.apache.hadoop.hive.ql.io.HiveInputFormat$HiveInputSplit.readFields(HiveInputFormat.java:146)        atorg.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:73)        atorg.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:44)        atorg.apache.hadoop.mapred.MapTask.getSplitDetails(MapTask.java:356)        atorg.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:388)        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:332)        atorg.apache.hadoop.mapred.Child$4.run(Child.java:268)        atjava.security.AccessController.doPrivileged(Native Method)        atjavax.security.auth.Subject.doAs(Subject.java:396)        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)hive> select key,avalue from ext_table_inhbase;Total MapReduce jobs = 1Launching Job 1 out of 1Number of reduce tasks is set to 0 since there's no reduce operatorHadoop job information for Stage-1: number of mappers: 1; number ofreducers: 019:33:55,386 Stage-1 map = 0%,  reduce = 0:34:01,472 Stage-1 map = 100%,  reduce = 0%, CumulativeCPU 2.73 sec19:34:02,495 Stage-1 map = 100%,  reduce = 0%, CumulativeCPU 2.73 sec19:34:03,512 Stage-1 map = 100%,  reduce = 100%,Cumulative CPU 2.73 secMapReduce Total cumulative CPU time: 2 seconds 730 msecEnded Job = job_201311061424_0003MapReduce Jobs Launched:Job 0: Map: 1   Cumulative CPU: 2.73 sec   HDFS Read:255 HDFS Write: 39 SUCCESSTotal MapReduce CPU Time Spent: 2 seconds 730 msecOKrow1    value1row2    value2//尝试通过HiveServer去查询beeline> !connect jdbc:hive2://test-2:10000 hdfs hdfsorg.apache.hive.jdbc.HiveDriver        Connecting to jdbc:hive2://test-2:10000Connected to: Hive (version 0.10.0)Driver: Hive (version 0.10.0-cdh5.4.0)Transaction isolation: TRANSACTION_REPEATABLE_READ0: jdbc:hive2://test-2:10000> show databases;+----------------+| database_name  |+----------------+| default        |+----------------+1 row selected (1.483 seconds)0: jdbc:hive2://test-2:10000> show tables;+--------------------+|      tab_name      |+--------------------+| ext_table_inhbase  ||test              |+--------------------+2 rows selected (0.657 seconds)0: jdbc:hive2://test-2:10000> select count(*) from ext_table_inhbase;+------+| _c0  |+------+| 3    |+------+