1)我使用“ADD JAR/home/hduser/softwares/hive/hive-serdes-1.0-SNAPSHOT.jar;”添加了 serde jar 文件
2)创建表
3)表创建成功
4)但是当我执行任何选择查询时,它会抛出文件未找到异常
hive> select count(*) from tab_tweets;
Query ID = hduser_20150604145353_51b4def4-11fb-4638-acac-77301c1c1806
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapreduce.job.reduces=<number>
java.io.FileNotFoundException: File does not exist: hdfs://node1:9000/home/hduser/softwares/hive/hive-serdes-1.0-SNAPSHOT.jar
at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:1122)
at org.apache.hadoop.hdfs.DistributedFileSystem$18.doCall(DistributedFileSystem.java:1114)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1114)
at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.getFileStatus(ClientDistributedCacheManager.java:288)
at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.getFileStatus(ClientDistributedCacheManager.java:224)
at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.determineTimestamps(ClientDistributedCacheManager.java:99)
at org.apache.hadoop.mapreduce.filecache.ClientDistributedCacheManager.determineTimestampsAndCacheVisibilities(ClientDistributedCacheManager.java:57)
at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:269)
at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:390)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:483)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1296)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1293)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1293)
at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:562)
at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:557)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:557)
at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:548)
at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:428)
at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:137)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:160)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:88)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1638)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1397)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1183)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1049)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1039)
at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:207)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:159)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:370)
at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:754)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:675)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:615)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:483)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
作业提交失败,出现异常“java.io.FileNotFoundException(文件不存在:hdfs://node1:9000/home/hduser/softwares/hive/hive-serdes-1.0-SNAPSHOT.jar)” FAILED:执行错误,从 org.apache.hadoop.hive.ql.exec.mr.MapRedTask 返回代码 1
最佳答案
方法 1:将 hive-serdes-1.0-SNAPSHOT.jar
文件从本地文件系统复制到 HDFS。
hadoop fs -mkdir /home/hduser/softwares/hive/
hadoop fs -put /home/hduser/softwares/hive/hive-serdes-1.0-SNAPSHOT.jar /home/hduser/softwares/hive/
Note: Use hdfs dfs instead of hadoop fs, if you are using latest hadoop versions.
方法 2:将 hive-site.xml
中 hive.aux.jars.path
的值更改为:
<property>
<name>hive.aux.jars.path</name>
<value>file:///home/hduser/softwares/hive/hive-serdes-1.0-SNAPSHOT.jar</value>
</property>
方法3:在hadoop类路径中添加hive-serdes-1.0-SNAPSHOT.jar
。即,在 hadoop-env.sh
中添加以下行:
export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:/home/hduser/softwares/hive/hive-serdes-1.0-SNAPSHOT.jar
NOTE: I have mentioned the paths considering you have installed hive in /home/hduser/softwares/hive. If you have hive installed elsewhere, please change /home/hduser/softwares/hive to point to your hive installation folder.
关于java - 尽管使用 "ADD JAR"添加 jar 文件,Hive shell 在执行查询时仍会抛出 Filenotfound 异常,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/30647741/