我正在执行以下命令:
A= load 'user/cloudera' using PigStorage(':');
foreach A generate $0,$4,$5;
dump B;
在执行最后一条命令时，我收到以下错误，我无法解决。作为大数据和 apache hadoop 堆栈的新手，我无法理解这个错误。请尽快提供帮助。也在 StackOverflow 上搜索类似的错误没有帮助:
2015-11-13 06:36:46,170 [main] INFO org.apache.pig.tools.pigstats.ScriptState - Pig features used in the script: UNKNOWN
2015-11-13 06:36:46,208 [main] INFO org.apache.pig.newplan.logical.optimizer.LogicalPlanOptimizer - {RULES_ENABLED=[AddForEach, ColumnMapKeyPrune, DuplicateForEachColumnRewrite, GroupByConstParallelSetter, ImplicitSplitInserter, LimitOptimizer, LoadTypeCastInserter, MergeFilter, MergeForEach, NewPartitionFilterOptimizer, PushDownForEachFlatten, PushUpFilter, SplitFilter, StreamTypeCastInserter], RULES_DISABLED=[FilterLogicExpressionSimplifier, PartitionFilterOptimizer]}
2015-11-13 06:36:46,212 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MRCompiler - File concatenation threshold: 100 optimistic? false
2015-11-13 06:36:46,225 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size before optimization: 1
2015-11-13 06:36:46,225 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MultiQueryOptimizer - MR plan size after optimization: 1
2015-11-13 06:36:46,404 [main] INFO org.apache.hadoop.yarn.client.RMProxy - Connecting to ResourceManager at /0.0.0.0:8032
2015-11-13 06:36:46,415 [main] INFO org.apache.pig.tools.pigstats.ScriptState - Pig script settings are added to the job
2015-11-13 06:36:46,445 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3
2015-11-13 06:36:49,232 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - creating jar file Job306801006066349255.jar
2015-11-13 06:37:04,185 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - jar file Job306801006066349255.jar created
2015-11-13 06:37:04,223 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.JobControlCompiler - Setting up single store job
2015-11-13 06:37:04,238 [main] INFO org.apache.pig.data.SchemaTupleFrontend - Key [pig.schematuple] is false, will not generate code.
2015-11-13 06:37:04,238 [main] INFO org.apache.pig.data.SchemaTupleFrontend - Starting process to move generated code to distributed cache
2015-11-13 06:37:04,238 [main] INFO org.apache.pig.data.SchemaTupleFrontend - Setting key [pig.schematuple.classes] with classes to deserialize []
2015-11-13 06:37:04,274 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - 1 map-reduce job(s) waiting for submission.
2015-11-13 06:37:04,274 [main] INFO org.apache.hadoop.conf.Configuration.deprecation - mapred.job.tracker is deprecated. Instead, use mapreduce.jobtracker.address
2015-11-13 06:37:04,283 [JobControl] INFO org.apache.hadoop.yarn.client.RMProxy - Connecting to ResourceManager at /0.0.0.0:8032
2015-11-13 06:37:04,363 [JobControl] INFO org.apache.hadoop.conf.Configuration.deprecation - fs.default.name is deprecated. Instead, use fs.defaultFS
2015-11-13 06:37:05,416 [JobControl] INFO org.apache.hadoop.mapreduce.JobSubmitter - Cleaning up the staging area /tmp/hadoop-yarn/staging/cloudera/.staging/job_1447417089361_0004
2015-11-13 06:37:05,420 [JobControl] WARN org.apache.hadoop.security.UserGroupInformation - PriviledgedActionException as:cloudera (auth:SIMPLE) cause:org.apache.pig.backend.executionengine.ExecException: ERROR 2118: Input path does not exist: hdfs://quickstart.cloudera:8020/user/cloudera/user/cloudera
2015-11-13 06:37:05,420 [JobControl] INFO org.apache.hadoop.mapreduce.lib.jobcontrol.ControlledJob - PigLatin:DefaultJobName got an error while submitting
org.apache.pig.backend.executionengine.ExecException: ERROR 2118: Input path does not exist: hdfs://quickstart.cloudera:8020/user/cloudera/user/cloudera
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigInputFormat.getSplits(PigInputFormat.java:288)
at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:597)
at org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:614)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:492)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1306)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1303)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1671)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1303)
at org.apache.hadoop.mapreduce.lib.jobcontrol.ControlledJob.submit(ControlledJob.java:335)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.pig.backend.hadoop23.PigJobControl.submit(PigJobControl.java:128)
at org.apache.pig.backend.hadoop23.PigJobControl.run(PigJobControl.java:191)
at java.lang.Thread.run(Thread.java:745)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher$1.run(MapReduceLauncher.java:270)
Caused by: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://quickstart.cloudera:8020/user/cloudera/user/cloudera
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:321)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:264)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigTextInputFormat.listStatus(PigTextInputFormat.java:36)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:385)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigInputFormat.getSplits(PigInputFormat.java:274)
... 18 more
2015-11-13 06:37:05,423 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - HadoopJobId: job_1447417089361_0004
2015-11-13 06:37:05,423 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Processing aliases A,B
2015-11-13 06:37:05,423 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - detailed locations: M: A[3,3],B[4,3] C: R:
2015-11-13 06:37:05,423 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - More information at: http://localhost:50030/jobdetails.jsp?jobid=job_1447417089361_0004
2015-11-13 06:37:05,440 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - 0% complete
2015-11-13 06:37:10,463 [main] WARN org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Ooops! Some job has failed! Specify -stop_on_failure if you want Pig to stop immediately on failure.
2015-11-13 06:37:10,463 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - job job_1447417089361_0004 has failed! Stop running all dependent jobs
2015-11-13 06:37:10,463 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - 100% complete
2015-11-13 06:37:10,620 [main] INFO org.apache.hadoop.mapred.ClientServiceDelegate - Could not get Job info from RM for job job_1447417089361_0004. Redirecting to job history server.
2015-11-13 06:37:10,844 [main] INFO org.apache.hadoop.mapred.ClientServiceDelegate - Could not get Job info from RM for job job_1447417089361_0004. Redirecting to job history server.
2015-11-13 06:37:10,849 [main] ERROR org.apache.pig.tools.pigstats.PigStatsUtil - 1 map reduce job(s) failed!
2015-11-13 06:37:10,850 [main] INFO org.apache.pig.tools.pigstats.SimplePigStats - Script Statistics:
HadoopVersion PigVersion UserId StartedAt FinishedAt Features
2.6.0-cdh5.4.2 0.12.0-cdh5.4.2 cloudera 2015-11-13 06:36:46 2015-11-13 06:37:10 UNKNOWN
Failed!
Failed Jobs:
JobId Alias Feature Message Outputs
job_1447417089361_0004 A,B MAP_ONLY Message: org.apache.pig.backend.executionengine.ExecException: ERROR 2118: Input path does not exist: hdfs://quickstart.cloudera:8020/user/cloudera/user/cloudera
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigInputFormat.getSplits(PigInputFormat.java:288)
at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:597)
at org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:614)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:492)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1306)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1303)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1671)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1303)
at org.apache.hadoop.mapreduce.lib.jobcontrol.ControlledJob.submit(ControlledJob.java:335)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.pig.backend.hadoop23.PigJobControl.submit(PigJobControl.java:128)
at org.apache.pig.backend.hadoop23.PigJobControl.run(PigJobControl.java:191)
at java.lang.Thread.run(Thread.java:745)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher$1.run(MapReduceLauncher.java:270)
Caused by: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://quickstart.cloudera:8020/user/cloudera/user/cloudera
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:321)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:264)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigTextInputFormat.listStatus(PigTextInputFormat.java:36)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:385)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigInputFormat.getSplits(PigInputFormat.java:274)
... 18 more
hdfs://quickstart.cloudera:8020/tmp/temp-193566860/tmp-1023933528,
Input(s):
Failed to read data from "hdfs://quickstart.cloudera:8020/user/cloudera/user/cloudera"
Output(s):
Failed to produce result in "hdfs://quickstart.cloudera:8020/tmp/temp-193566860/tmp-1023933528"
Counters:
Total records written : 0
Total bytes written : 0
Spillable Memory Manager spill count : 0
Total bags proactively spilled: 0
Total records proactively spilled: 0
Job DAG:
job_1447417089361_0004
2015-11-13 06:37:10,850 [main] INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher - Failed!
2015-11-13 06:37:10,853 [main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR 1066: Unable to open iterator for alias B
Details at logfile: /home/cloudera/pig_1447424730804.log
最佳答案
解决方案:
将代码的第 1 行更改为:
A= load '/user/cloudera' using PigStorage(':');
话虽如此，你确定你输入的数据在你的家乡吗？这似乎不太可能。它更有可能位于您所在区域的文件夹中，即 /user/cloudera/input-data。
在运行你的工作之前做:
hdfs dfs -ls /user/cloudera
确认输入数据确实在该文件夹中。如果不是，找出它的实际位置，并确保它在 HDFS 上而不是本地。
解释:
日志的相关部分是
ERROR 2118: Input path does not exist: hdfs://quickstart.cloudera:8020/user/cloudera/user/cloudera
这表明它与输入路径有关。处理输入路径的代码部分是
A= load 'user/cloudera' using PigStorage(':');
如果不向 /user 添加正斜杠，那么它会假设所有内容都与您的家庭区域相关，因此例如编写 load 'input' 会导致 Pig在 hdfs://quickstart.cloudera:8028/user/cloudera/input 中读取的作业。在您的情况下，缺少斜杠意味着它将其添加到您的用户区域。
关于hadoop - 如何解决以下 apache pig 错误？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/33695348/
我正在学习如何使用Nokogiri，根据这段代码我遇到了一些问题:require'rubygems'require'mechanize'post_agent=WWW::Mechanize.newpost_page=post_agent.get('http://www.vbulletin.org/forum/showthread.php?t=230708')puts"\nabsolutepathwithtbodygivesnil"putspost_page.parser.xpath('/html/body/div/div/div/div/div/table/tbody/tr/td/div
总的来说，我对ruby还比较陌生，我正在为我正在创建的对象编写一些rspec测试用例。许多测试用例都非常基础，我只是想确保正确填充和返回值。我想知道是否有办法使用循环结构来执行此操作。不必为我要测试的每个方法都设置一个assertEquals。例如:describeitem,"TestingtheItem"doit"willhaveanullvaluetostart"doitem=Item.new#HereIcoulddotheitem.name.shouldbe_nil#thenIcoulddoitem.category.shouldbe_nilendend但我想要一些方法来使用
关闭。这个问题是opinion-based.它目前不接受答案。想要改进这个问题？更新问题，以便editingthispost可以用事实和引用来回答它.关闭4年前。Improvethisquestion我想在固定时间创建一系列低音和高音调的哔哔声。例如:在150毫秒时发出高音调的蜂鸣声在151毫秒时发出低音调的蜂鸣声200毫秒时发出低音调的蜂鸣声250毫秒的高音调蜂鸣声有没有办法在Ruby或Python中做到这一点？我真的不在乎输出编码是什么(.wav、.mp3、.ogg等等)，但我确实想创建一个输出文件。
给定这段代码defcreate@upgrades=User.update_all(["role=?","upgraded"],:id=>params[:upgrade])redirect_toadmin_upgrades_path,:notice=>"Successfullyupgradeduser."end我如何在该操作中实际验证它们是否已保存或未重定向到适当的页面和消息？ 最佳答案 在Rails3中，update_all不返回任何有意义的信息，除了已更新的记录数(这可能取决于您的DBMS是否返回该信息)。http://ar.ru
我在我的项目目录中完成了compasscreate.和compassinitrails。几个问题:我已将我的.sass文件放在public/stylesheets中。这是放置它们的正确位置吗？当我运行compasswatch时，它不会自动编译这些.sass文件。我必须手动指定文件:compasswatchpublic/stylesheets/myfile.sass等。如何让它自动运行？文件ie.css、print.css和screen.css已放在stylesheets/compiled。如何在编译后不让它们重新出现的情况下删除它们？我自己编译的.sass文件编译成compiled/t
大约一年前，我决定确保每个包含非唯一文本的Flash通知都将从模块中的方法中获取文本。我这样做的最初原因是为了避免一遍又一遍地输入相同的字符串。如果我想更改措辞，我可以在一个地方轻松完成，而且一遍又一遍地重复同一件事而出现拼写错误的可能性也会降低。我最终得到的是这样的:moduleMessagesdefformat_error_messages(errors)errors.map{|attribute,message|"Error:#{attribute.to_s.titleize}#{message}."}enddeferror_message_could_not_find(obje
我正在寻找执行以下操作的正确语法(在Perl、Shell或Ruby中):#variabletoaccessthedatalinesappendedasafileEND_OF_SCRIPT_MARKERrawdatastartshereanditcontinues. 最佳答案 Perl用__DATA__做这个:#!/usr/bin/perlusestrict;usewarnings;while(){print;}__DATA__Texttoprintgoeshere 关于ruby-如何将脚
Rackup通过Rack的默认处理程序成功运行任何Rack应用程序。例如:classRackAppdefcall(environment)['200',{'Content-Type'=>'text/html'},["Helloworld"]]endendrunRackApp.new但是当最后一行更改为使用Rack的内置CGI处理程序时，rackup给出“NoMethodErrorat/undefinedmethod`call'fornil:NilClass”:Rack::Handler::CGI.runRackApp.newRack的其他内置处理程序也提出了同样的反对意见。例如Rack
在选择我想要运行操作的频率时，唯一的选项是“每天”、“每小时”和“每10分钟”。谢谢!我想为我的Rails3.1应用程序运行调度程序。 最佳答案 这不是一个优雅的解决方案，但您可以安排它每天运行，并在实际开始工作之前检查日期是否为当月的第一天。 关于ruby-如何每月在Heroku运行一次Scheduler插件？，我们在StackOverflow上找到一个类似的问题： https://stackoverflow.com/questions/8692687/
我有一个对象has_many应呈现为xml的子对象。这不是问题。我的问题是我创建了一个Hash包含此数据，就像解析器需要它一样。但是rails自动将整个文件包含在.........我需要摆脱type="array"和我该如何处理？我没有在文档中找到任何内容。 最佳答案 我遇到了同样的问题；这是我的XML:我在用这个:entries.to_xml将散列数据转换为XML，但这会将条目的数据包装到中所以我修改了:entries.to_xml(root:"Contacts")但这仍然将转换后的XML包装在“联系人”中，将我的XML代码修改为