hbase0.96与hive0.12整合高可靠文档及问题总结

本文链接：http://www.aboutyun.com/thread-7881-1-1.html

问题导读：
1.hive安装是否需要安装mysql？
2.hive是否分为客户端和服务器端？
3.hive的元数据库有哪两种？
4.hive与hbase整合的关键是什么？
5.hive的安装是否必须安装hadoop?
6.hive与hbase整合需要做哪些准备工作？

网上有很多资料，看到大部分都是一致的，看到一篇国外的文章，原来都是翻译的，并没有经过实践。这里记录一下实践的过程。
本篇是在：
hadoop2.2完全分布式最新高可靠安装文档
http://www.aboutyun.com/thread-7684-1-1.html
hbase 0.96整合到hadoop2.2三个节点全分布式安装高可靠文档 
http://www.aboutyun.com/thread-7746-1-1.html
基础上的一个继续：
因为derby数据库使用的局限性，我们采用mysql作为元数据库。
derby存在什么缺陷
1.derby不能多个客户端登录
2.derby登录必须在相同目录下，否则可能会找不到所创建的表。
比如在/hive目录下启动hive程序，那么所创建的表就会存储在/hive下面保存。如果在/home下面，所创建的表就会在/home下面保存。这样导致初学者摸不着头脑。如果还不是不太明白可以，可以参考
-----------
hive使用derby作为元数据库找达到所创建表的原因
http://www.aboutyun.com/thread-7803-1-1.html
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下面我们开始安装：
1.下载hivehive
链接: http://pan.baidu.com/s/1eQw0o50 密码: mgy6
2. 安装：
tar zxvf hive-0.12.0.tar.gz 
重命令名为：hive文件夹
达到如下效果：
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3. 替换jar包，与hbase0.96和hadoop2.2版本一致

由于我们下载的hive是基于hadoop1.3和hbase0.94的，所以必须进行替换，因为我们的hbse0.96是基于hadoop2.2的，所以我们必须先解决hive的hadoop版本问题，目前我们从官网下载的hive都是用1.几的版本编译的，因此我们需要自己下载源码来用hadoop2.X的版本重新编译hive，这个过程也很简单，只需要如下步骤：

（1）进入/usr/hive/lib
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上面只是截取了一部分：

（2）同步hbase的版本
先cd到hive0.12.0/lib下，将hive-0.12.0/lib下hbase-0.94开头的那两个jar包删掉，然后从/home/hadoop/hbase-0.96.0-hadoop2/lib下hbase开头的包都拷贝过来

find /usr/hbase/hbas/lib -name "hbase*.jar"|xargs -i cp {} ./
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（3）基本的同步完成了
重点检查下zookeeper和protobuf的jar包是否和hbase保持一致，如果不一致，
拷贝protobuf.**.jar和zookeeper-3.4.5.jar到hive/lib下。

（4）用mysql当原数据库，
找一个mysql的jdbcjar包mysql-connector-java-5.1.10-bin.jar也拷贝到hive-0.12.0/lib下

可以通过下面命令来查找是否存在

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如果不存在则下载：
链接: http://pan.baidu.com/s/1gdCDoGj 密码: 80yl
--------------------------------------------------------------------------
注意  mysql-connector-java-5.1.10-bin.jar
修改权限为777 （chmod 777 mysql-connector-java-5.1.10-bin.jar）
--------------------------------------------------------------------------
还有，看一下hbase与hive的通信包是否存在：
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可以通过下面命令：

aboutyun@master:/usr/hive/lib$ find -name hive-hbase-handler*
./hive-hbase-handler-0.13.0-SNAPSHOT.jar
不存在则下载：

链接: http://pan.baidu.com/s/1gd9p0Fh 密码: 94g1

4. 安装mysql
• Ubuntu 采用apt-get安装
• sudo apt-get install mysql-server
• 建立数据库hive
• create database hivemeta
• 创建hive用户,并授权
• grant all on hive.* to hive@'%'  identified by 'hive';  
• flush privileges;  
对于musql的安装不熟悉，可以参考：

Ubuntu下面卸载以及安装mysql
http://www.aboutyun.com/thread-7788-1-1.html
-------------------------------------------
上面命令解释一下：
• sudo apt-get install mysql-server安装数据服务器，如果想尝试通过其他客户端远程连接，则还需要安装mysql-client

• create database hivemeta
这个使用来存储hive元数据，所创建的数据库

• grant all on hive.* to hive@'%'  identified by 'hive';  这个是授权，还是比较重要的，否则hive客户端远程连接会失败
里面的内容不要照抄：需要根据自己的情况来修改。上面的用户名和密码都为hive。

如果连接不成功尝试使用root用户

1. grant all on hive.* to 'root'@'%'identified by '123';
2. flush privileges;

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4. 修改hive-site文件配置：

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下面配置需要注意的是：
（1）使用的是mysql的root用户，密码为123，如果你是用的hive，把用户名和密码该为hive即可：
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（2）hdfs新建文件并授予权限
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对于上面注意

bin/hadoop fs -mkdir     /hive/warehouse
bin/hadoop fs -mkdir      /hive/scratchdir
bin/hadoop fs -chmod g+w  /hive/warehouse
bin/hadoop fs -chmod g+w   /hive/scratchdir

（3）hive.aux.jars.path切忌配置正确
不能有换行或则空格。特别是换行，看到很多文章都把他们给分开了，这对很多新手是一个很容易掉进去的陷阱。

1. <property>
2. <name>hive.aux.jars.path</name>
3. <value>file:///usr/hive/lib/hive-hbase-handler-0.13.0-SNAPSHOT.jar,file:///usr/hive/lib/protobuf-java-2.5.0.jar,file:///usr/hive/lib/hbase-client-0.96.0-hadoop2.jar,file:///usr/hive/lib/hbase-common-0.96.0-hadoop2.jar,file:///usr/hive/lib/zookeeper-3.4.5.jar,file:///usr/hive/lib/guava-11.0.2.jar</value>
4. </property>

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上面问题解决，把下面内容放到hive-site文件即可
--------------------------------
这里介绍两种配置方式，一种是远程配置，一种是本地配置。最好选择远程配置

远程配置

1. <configuration>
2. <property>
3. <name>hive.metastore.warehouse.dir</name>
4. <value>hdfs://master:8020/hive/warehouse</value>
5. </property>
6. <property>
7. <name>hive.exec.scratchdir</name>
8. <value>hdfs://master:8020/hive/scratchdir</value>
9. </property>
10. <property>
11. <name>hive.querylog.location</name>
12. <value>/usr/hive/logs</value>
13. </property>
14. <property>
15. <name>javax.jdo.option.ConnectionURL</name>
16. <value>jdbc:mysql://172.16.77.15:3306/hiveMeta?createDatabaseIfNotExist=true</value>
17. </property>
18. <property>
19. <name>javax.jdo.option.ConnectionDriverName</name>
20. <value>com.mysql.jdbc.Driver</value>
21. </property>
22. <property>
23. <name>javax.jdo.option.ConnectionUserName</name>
24. <value>hive</value>
25. </property>
26. <property>
27. <name>javax.jdo.option.ConnectionPassword</name>
28. <value>hive</value>
29. </property>
30. <property>
31. <name>hive.aux.jars.path</name>
32. <value>file:///usr/hive/lib/hive-hbase-handler-0.13.0-SNAPSHOT.jar,file:///usr/hive/lib/protobuf-java-2.5.0.jar,file:///usr/hive/lib/hbase-client-0.96.0-hadoop2.jar,file:///usr/hive/lib/hbase-common-0.96.0-hadoop2.jar,file:///usr/hive/lib/zookeeper-3.4.5.jar,file:///usr/hive/lib/guava-11.0.2.jar</value>
33. </property>
34. <property>
35. <name>hive.metastore.uris</name>
36. <value>thrift://172.16.77.15:9083</value>
37. </property>
38. </configuration>

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本地配置：

1. <configuration>
2. <property>
3. <name>hive.metastore.warehouse.dir</name>
4. <value>/user/hive_remote/warehouse</value>
5. </property>
6. <property>
7. <name>hive.metastore.local</name>
8. <value>true</value>
9. </property>
10. <property>
11. <name>javax.jdo.option.ConnectionURL</name>
12. <value>jdbc:mysql://localhost/hive_remote?createDatabaseIfNotExist=true</value>
13. </property>
14. <property>
15. <name>javax.jdo.option.ConnectionDriverName</name>
16. <value>com.mysql.jdbc.Driver</value>
17. </property>
18. <property>
19. <name>javax.jdo.option.ConnectionUserName</name>
20. <value>root</value>
21. </property>
22. <property>
23. <name>javax.jdo.option.ConnectionPassword</name>
24. <value>123</value>
25. </property>
26. </configuration>

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5. 修改其它配置：

1.修改hadoop的hadoop-env.sh(否则启动hive汇报找不到类的错误)
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2.修改$HIVE_HOME/bin的hive-config.sh，增加以下三行
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首先说一些遇到的各种问题
1.遇到的问题

问题1：元数据库未启动
这里首先概括一下，会遇到的问题。首先需要启动元数据库，通过下面命令：
（1）hive --service metastore
（2）hive  --service metastore -hiveconf hive.root.logger=DEBUG,console

注释：
-hiveconf hive.root.logger=DEBUG,console命令的含义是进入debug模式，便于寻找错误

如果不启用元数据库，而是使用下面命令

1. hive

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你会遇到下面错误

1. Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient
2. at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:295)
3. at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:679)
4. at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:623)
5. at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
6. at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
7. at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
8. at java.lang.reflect.Method.invoke(Method.java:606)
9. at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
10. Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient
11. at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1345)
12. at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:62)
13. at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:72)
14. at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:2420)
15. at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:2432)
16. at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:289)
17. ... 7 more
18. Caused by: java.lang.reflect.InvocationTargetException
19. at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
20. at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
21. at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
22. at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
23. at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1343)
24. ... 12 more
25. Caused by: MetaException(message:Could not connect to meta store using any of the URIs provided. Most recent failure: org.apache.thrift.transport.TTransportException:
26. java.net.ConnectException: Connection refused
27. at org.apache.thrift.transport.TSocket.open(TSocket.java:185)
28. at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.open(HiveMetaStoreClient.java:288)
29. at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:169)
30. at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
31. at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
32. at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
33. at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
34. at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1343)
35. at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:62)
36. at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:72)
37. at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:2420)
38. at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:2432)
39. at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:289)
40. at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:679)
41. at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:623)
42. at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
43. at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
44. at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
45. at java.lang.reflect.Method.invoke(Method.java:606)
46. at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
47. Caused by: java.net.ConnectException: Connection refused
48. at java.net.PlainSocketImpl.socketConnect(Native Method)
49. at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
50. at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
51. at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
52. at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
53. at java.net.Socket.connect(Socket.java:579)
54. at org.apache.thrift.transport.TSocket.open(TSocket.java:180)
55. ... 19 more
56. )
57. at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.open(HiveMetaStoreClient.java:334)
58. at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:169)
59. ... 17 more

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问题2：元数据库启动状态是什么样子的
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1. hive --service metastore
2. Starting Hive Metastore Server
3. 14/05/27 20:14:51 INFO Configuration.deprecation: mapred.input.dir.recursive is deprecated. Instead, use mapreduce.input.fileinputformat.input.dir.recursive
4. 14/05/27 20:14:51 INFO Configuration.deprecation: mapred.max.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.maxsize
5. 14/05/27 20:14:51 INFO Configuration.deprecation: mapred.min.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize
6. 14/05/27 20:14:51 INFO Configuration.deprecation: mapred.min.split.size.per.rack is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize.per.rack
7. 14/05/27 20:14:51 INFO Configuration.deprecation: mapred.min.split.size.per.node is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize.per.node
8. 14/05/27 20:14:51 INFO Configuration.deprecation: mapred.reduce.tasks is deprecated. Instead, use mapreduce.job.reduces
9. 14/05/27 20:14:51 INFO Configuration.deprecation: mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative

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刚开始遇到这种情况，我知道是因为可能没有配置正确，这个耗费了很长时间，一直没有找到正确的解决方案。当再次执行

hive --service metastore
命令的时候报4083端口被暂用： 报错如下红字部分。表示9083端口已经被暂用，也就是说客户端已经和主机进行了通信，当我在进行输入hive命令的时候，进入下面图1界面
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图1

1. Could not create ServerSocket on address 0.0.0.0/0.0.0.0:9083.
2. at org.apache.thrift.transport.TServerSocket.<init>(TServerSocket.java:93)
3. at org.apache.thrift.transport.TServerSocket.<init>(TServerSocket.java:75)
4. at org.apache.hadoop.hive.metastore.TServerSocketKeepAlive.<init>(TServerSocketKeepAlive.java:34)
5. at org.apache.hadoop.hive.metastore.HiveMetaStore.startMetaStore(HiveMetaStore.java:4291)
6. at org.apache.hadoop.hive.metastore.HiveMetaStore.main(HiveMetaStore.java:4248)
7. at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
8. at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
9. at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
10. at java.lang.reflect.Method.invoke(Method.java:606)
11. at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
12. Exception in thread "main" org.apache.thrift.transport.TTransportException: Could not create ServerSocket on address 0.0.0.0/0.0.0.0:9083.
13. at org.apache.thrift.transport.TServerSocket.<init>(TServerSocket.java:93)
14. at org.apache.thrift.transport.TServerSocket.<init>(TServerSocket.java:75)
15. at org.apache.hadoop.hive.metastore.TServerSocketKeepAlive.<init>(TServerSocketKeepAlive.java:34)
16. at org.apache.hadoop.hive.metastore.HiveMetaStore.startMetaStore(HiveMetaStore.java:4291)
17. at org.apache.hadoop.hive.metastore.HiveMetaStore.main(HiveMetaStore.java:4248)
18. at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
19. at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
20. at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
21. at java.lang.reflect.Method.invoke(Method.java:606)
22. at org.apache.hadoop.util.RunJar.main(RunJar.java:212)

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对于端口的暂用，可以采用下面命令杀掉进程

1. netstat -ap|grep 4083

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上面主要的作用是查出暂用端口的进程id，然后使用下面命令杀掉进程即可

1. kill -9 进程号

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详细可以查看下面内容：
使用配置hadoop中常用的Linux命令

问题3：hive.aux.jars.path配置中含有看换行或则空格，报错如下

错误表现1：/usr/hive/lib/hbase-client-0.96.0-
hadoop2.jar
整个路径错位，导致系统不能识别，这个错位，其实就是换行。

1. FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
2. java.io.FileNotFoundException: File does not exist: hdfs://hydra0001/opt/module/hive-0.10.0-cdh4.3.0/lib/hive-builtins-0.10.0-cdh4.3.0.jar
3. 2014-05-24 19:32:06,563 ERROR exec.Task (SessionState.java:printError(440)) - Job Submission failed with exception 'java.io.FileNotFoundException(File file:/usr/hive/lib/hbase-client-0.96.0-
4. hadoop2.jar does not exist)'
5. java.io.FileNotFoundException: File file:/usr/hive/lib/hbase-client-0.96.0-
6. hadoop2.jar does not exist
7. at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:520)
8. at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:398)
9. at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:337)
10. at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:289)
11. at org.apache.hadoop.mapreduce.JobSubmitter.copyRemoteFiles(JobSubmitter.java:139)
12. at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:212)
13. at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:300)
14. at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:387)
15. at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1268)
16. at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1265)
17. at java.security.AccessController.doPrivileged(Native Method)
18. at javax.security.auth.Subject.doAs(Subject.java:415)
19. at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
20. at org.apache.hadoop.mapreduce.Job.submit(Job.java:1265)
21. at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:562)
22. at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:557)
23. at java.security.AccessController.doPrivileged(Native Method)
24. at javax.security.auth.Subject.doAs(Subject.java:415)
25. at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
26. at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:557)
27. at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:548)
28. at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:424)
29. at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:136)
30. at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:152)
31. at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:65)
32. at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1481)
33. at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1258)
34. at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1092)
35. at org.apache.hadoop.hive.ql.Driver.run(Driver.java:932)
36. at org.apache.hadoop.hive.ql.Driver.run(Driver.java:922)
37. at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:268)
38. at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:220)
39. at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:422)
40. at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:790)
41. at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:684)
42. at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:623)
43. at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
44. at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
45. at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
46. at java.lang.reflect.Method.invoke(Method.java:606)
47. at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
48. 2014-05-24 19:32:06,571 ERROR ql.Driver (SessionState.java:printError(440)) - FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask

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错误表现2：

1. <property>
2. <name>hive.aux.jars.path</name>
3. <value>
4. file:///usr/hive/lib/hive-hbase-handler-0.13.0-SNAPSHOT.jar,
5. file:///usr/hive/lib/protobuf-java-2.5.0.jar,
6. file:///usr/hive/lib/hbase-client-0.96.0-hadoop2.jar,
7. file:///usr/hive/lib/hbase-common-0.96.0-hadoop2.jar,
8. file:///usr/hive/lib/zookeeper-3.4.5.jar,
9. file:///usr/hive/lib/guava-11.0.2.jar</value>
10. </property>
11. <property>

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上面看那上去很整洁，但是如果直接复制到配置文件中，就会产生下面错误。

1. Caused by: java.net.URISyntaxException: Illegal character in scheme name at index 0:
2. file:///usr/hive/lib/protobuf-java-2.5.0.jar
3. at java.net.URI$Parser.fail(URI.java:2829)
4. at java.net.URI$Parser.checkChars(URI.java:3002)
5. at java.net.URI$Parser.checkChar(URI.java:3012)
6. at java.net.URI$Parser.parse(URI.java:3028)
7. at java.net.URI.<init>(URI.java:753)
8. at org.apache.hadoop.fs.Path.initialize(Path.java:203)
9. ... 37 more
10. Job Submission failed with exception 'java.lang.IllegalArgumentException(java.net.URISyntaxException: Illegal character in scheme name at index 0:
11. file:///usr/hive/lib/protobuf-java-2.5.0.jar)'
12. FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask

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验证hive与hbase的整合：
一、启动hbase与hive
启动hbase

1. hbase shell

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<ignore_js_op>

启动hive
(1)启动元数据库
<ignore_js_op>

1. 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");

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上面的含义是在hive中建表hbase_table_1，通过org.apache.hadoop.hive.hbase.HBaseStorageHandler这个类映射，在hbase建立与之对应的xyz表。
（1）执行这个语句之前：
首先查看hbase与hive：
hbase为空：
<ignore_js_op>

hive为空
<ignore_js_op>

（2）执行

1. 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");

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<ignore_js_op>

（3）对比发生变化
hbase显示新建表xyz
<ignore_js_op>

hive显示新建表hbase_table_1

<ignore_js_op>

三、验证整合，在hbase插入表

（1）通过hbase添加数据
在hbase中插入一条记录：

1. put 'xyz','10001','cf1:val','www.aboutyun.com'

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<ignore_js_op>

分别查看hbase与hive表发生的变化：
（1）hbase变化
<ignore_js_op>

（2）hive变化
<ignore_js_op>

（2）通过hive添加数据
对于网上流行的通过pokes表，插入这里没有执行成功，通过网上查询，可能是hive0.12的一个bug.详细可以查看：

1. INSERT OVERWRITE TABLE hbase_table_1 SELECT * FROM pokes;
2. Total MapReduce jobs = 1
3. Launching Job 1 out of 1
4. Number of reduce tasks is set to 0 since there's no reduce operator
5. java.lang.IllegalArgumentException: Property value must not be null
6. at com.google.common.base.Preconditions.checkArgument(Preconditions.java:88)
7. at org.apache.hadoop.conf.Configuration.set(Configuration.java:810)
8. at org.apache.hadoop.conf.Configuration.set(Configuration.java:792)
9. at org.apache.hadoop.hive.ql.exec.Utilities.copyTableJobPropertiesToConf(Utilities.java:1996)
10. at org.apache.hadoop.hive.ql.exec.FileSinkOperator.checkOutputSpecs(FileSinkOperator.java:864)
11. at org.apache.hadoop.hive.ql.io.HiveOutputFormatImpl.checkOutputSpecs(HiveOutputFormatImpl.java:67)
12. at org.apache.hadoop.mapreduce.JobSubmitter.checkSpecs(JobSubmitter.java:458)
13. at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:342)
14. at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1268)
15. at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1265)
16. at java.security.AccessController.doPrivileged(Native Method)
17. at javax.security.auth.Subject.doAs(Subject.java:415)
18. at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
19. at org.apache.hadoop.mapreduce.Job.submit(Job.java:1265)
20. at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:562)
21. at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:557)
22. at java.security.AccessController.doPrivileged(Native Method)
23. at javax.security.auth.Subject.doAs(Subject.java:415)
24. at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
25. at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:557)
26. at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:548)
27. at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:424)
28. at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:136)
29. at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:152)
30. at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:65)
31. at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1481)
32. at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1258)
33. at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1092)
34. at org.apache.hadoop.hive.ql.Driver.run(Driver.java:932)
35. at org.apache.hadoop.hive.ql.Driver.run(Driver.java:922)
36. at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:268)
37. at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:220)
38. at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:422)
39. at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:790)
40. at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:684)
41. at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:623)
42. at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
43. at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
44. at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
45. at java.lang.reflect.Method.invoke(Method.java:606)
46. at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
47. Job Submission failed with exception 'java.lang.IllegalArgumentException(Property value must not be null)'
48. FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask

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网上找了很多资料，这个可能是一个bug，在hive0.13.0已经修复。
详细见：
https://issues.apache.org/jira/browse/HIVE-5515