Hive安装并使用MySQL存储元数据

Hive默认使用derby存储元数据
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。
一下操作使用Hadoop用户
下载解压到hive的目录
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

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 {} ./

（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

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：

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

1. 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mysql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 hadoop@’%’ identified by ‘123456’; 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 ‘123456’;
2. flush privileges;
复制代码

---

1. 修改hive-site文件配置：

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hadoop，把用户名和密码该为hadoop即可：

（2）hdfs新建文件并授予权限

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。

2.    hive.aux.jars.path
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
4.  

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.dirname>
4.    <value>hdfs://master:8020/hive/warehousevalue>
5.  property>
6.  <property>
7.    <name>hive.exec.scratchdirname>
8.    <value>hdfs://master:8020/hive/scratchdirvalue>
9.  property>
10. <property>
11.   <name>hive.querylog.locationname>
12.   <value>/usr/hive/logsvalue>
13. property>
14. <property>  
15.   <name>javax.jdo.option.ConnectionURLname>  
16.   <value>jdbc:mysql://172.16.77.15:3306/hiveMeta?createDatabaseIfNotExist=truevalue>  
17. property>  
18. <property>  
19.   <name>javax.jdo.option.ConnectionDriverNamename>  
20.   <value>com.mysql.jdbc.Drivervalue>  
21. property>  
22. <property>  
23.   <name>javax.jdo.option.ConnectionUserNamename>  
24.   <value>hivevalue>  
25. property>  
26. <property>  
27.   <name>javax.jdo.option.ConnectionPasswordname>  
28.   <value>hivevalue>  
29. property> 
30. <property>
31.   <name>hive.aux.jars.pathname>
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.jarvalue>
33. property>
34. <property>
35.   <name>hive.metastore.urisname>  
36.   <value>thrift://172.16.77.15:9083value>  
37. property>  
38. configuration>

本地配置：

1.  <configuration>  
2.  <property>  
3.    <name>hive.metastore.warehouse.dirname>  
4.    <value>/user/hive_remote/warehousevalue>  
5.  property>  
6.  
7.  <property>  
8.    <name>hive.metastore.localname>  
9.    <value>truevalue>  
10. property>  
11. 
12. <property>  
13.   <name>javax.jdo.option.ConnectionURLname>  
14.   <value>jdbc:mysql://localhost/hive_remote?createDatabaseIfNotExist=truevalue>  
15. property>  
16. 
17. <property>  
18.   <name>javax.jdo.option.ConnectionDriverNamename>  
19.   <value>com.mysql.jdbc.Drivervalue>  
20. property>  
21. 
22. <property>  
23.   <name>javax.jdo.option.ConnectionUserNamename>  
24.   <value>rootvalue>  
25. property>  
26. 
27. <property>  
28.   <name>javax.jdo.option.ConnectionPasswordname>  
29.   <value>123value>  
30. property>  
31. configuration>  

---

1. 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)
export HIVE_CONF_DIR=/usr/hive/conf

2.修改$HIVE_HOME/bin的hive-config.sh，增加以下三行
export JAVE_HOME=XXXXX
export HIVE_HOME=XXXXX
export HADOOP_HOME=XXXXX

然后我们首先启动元数据库
1. hive –service metastore -hiveconf hive.root.logger=DEBUG,console &
&方便退出命令行
记得这里它会卡住不动，不用担心，这里已经启动成功。

然后我们在启动客户端
1. hive
复制代码

这样hive就安装成功了

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
   复制代码

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.(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. 
    
    27.
27. java.net.ConnectException: Connection refused
28. at org.apache.thrift.transport.TSocket.open(TSocket.java:185)
29. at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.open(HiveMetaStoreClient.java:288)
30. at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.(HiveMetaStoreClient.java:169)
31. at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
32. at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
33. at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
34. at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
35. at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1343)
36. at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.(RetryingMetaStoreClient.java:62)
37. at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:72)
38. at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:2420)
39. at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:2432)
40. at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:289)
41. at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:679)
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. Caused by: java.net.ConnectException: Connection refused
49. at java.net.PlainSocketImpl.socketConnect(Native Method)
50. at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
51. at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
52. at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
53. at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
54. at java.net.Socket.connect(Socket.java:579)
55. at org.apache.thrift.transport.TSocket.open(TSocket.java:180)
56. … 19 more
57. )
58. at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.open(HiveMetaStoreClient.java:334)
59. at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.(HiveMetaStoreClient.java:169)
60. … 17 more
    复制代码

问题2：元数据库启动状态是什么样子的

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
   复制代码

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

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.(TServerSocket.java:93)
3. at org.apache.thrift.transport.TServerSocket.(TServerSocket.java:75)
4. at org.apache.hadoop.hive.metastore.TServerSocketKeepAlive.(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.(TServerSocket.java:93)
14. at org.apache.thrift.transport.TServerSocket.(TServerSocket.java:75)
15. at org.apache.hadoop.hive.metastore.TServerSocketKeepAlive.(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)
复制代码
对于端口的暂用，可以采用下面命令杀掉进程

1. netstat -ap|grep 4083
   复制代码
   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
2. kill -9 进程号
   复制代码
   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.
2. FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
3.
4.
5. 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
6. 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-
7. hadoop2.jar does not exist)’
8. java.io.FileNotFoundException: File file:/usr/hive/lib/hbase-client-0.96.0-
9. hadoop2.jar does not exist
10. at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:520)
11. at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:398)
12. at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:337)
13. at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:289)
14. at org.apache.hadoop.mapreduce.JobSubmitter.copyRemoteFiles(JobSubmitter.java:139)
15. at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:212)
16. at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:300)
17. at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:387)
18. at org.apache.hadoop.mapreduce.Job 10.run(Job.java:1268)19.atorg.apache.hadoop.mapreduce.Job 10.run(Job.java:1265)
20. at java.security.AccessController.doPrivileged(Native Method)
21. at javax.security.auth.Subject.doAs(Subject.java:415)
22. at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
23. at org.apache.hadoop.mapreduce.Job.submit(Job.java:1265)
24. at org.apache.hadoop.mapred.JobClient 1.run(JobClient.java:562)25.atorg.apache.hadoop.mapred.JobClient 1.run(JobClient.java:557)
26. at java.security.AccessController.doPrivileged(Native Method)
27. at javax.security.auth.Subject.doAs(Subject.java:415)
28. at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1491)
29. at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:557)
30. at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:548)
31. at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:424)
32. at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:136)
33. at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:152)
34. at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:65)
35. at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1481)
36. at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1258)
37. at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1092)
38. at org.apache.hadoop.hive.ql.Driver.run(Driver.java:932)
39. at org.apache.hadoop.hive.ql.Driver.run(Driver.java:922)
40. at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:268)
41. at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:220)
42. at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:422)
43. at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:790)
44. at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:684)
45. at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:623)
46. at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
47. at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
48. at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
49. at java.lang.reflect.Method.invoke(Method.java:606)
50. at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
51.
52.
53. 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
复制代码

错误表现2：

2. hive.aux.jars.path
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
11. 
    复制代码

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.(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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启动hive
(1)启动元数据库

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：

hive为空

（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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（3）对比发生变化
hbase显示新建表xyz

hive显示新建表hbase_table_1

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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分别查看hbase与hive表发生的变化：
（1）hbase变化

（2）hive变化

（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

转自http://www.aboutyun.com/thread-7881-1-1.html