I am running nutch on hadoop multi cluster environment.
Hadoop is throwing an error when nutch is being executed using the following command
$ bin/hadoop jar /home/nutch/nutch/runtime/deploy/nutch-1.5.1.job org.apache.nutch.crawl.Crawl urls -dir urls -depth 1 -topN 5
Error:
Exception in thread "main" java.io.IOException: Not a file:
hdfs://master:54310/user/nutch/urls/crawldb
at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:170)
at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:515)
at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:753)
at com.bdc.dod.dashboard.BDCQueryStatsViewer.run(BDCQueryStatsViewer.java:829)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at com.bdc.dod.dashboard.BDCQueryStatsViewer.main(BDCQueryStatsViewer.java:796)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:585)
at org.apache.hadoop.util.RunJar.main(RunJar.java:155)
I tried with possible ways of solving this and fixed all the issues like setting http.agent.name in /local/conf path etc. And I installed earlier and it was smooth.
Can anybody suggest a solution?
By the way, I followed link for installing and running.
I could solve this issue. when copying files from local file system to HDFS destination filesystem, it used to be like this: bin/hadoop dfs -put ~/nutch/urls urls.
However it should be "bin/hadoop dfs -put ~/nutch/urls/* urls", here urls/* will allow sub directories.
Related
I had hadoop set up in pseudo distributed mode, and it was running perfectly fine. But after locking the screen on mac, while it was running and after loggin back in, I couldnt open the dashboard or any other thing.
The jps command showed only jps running. I tried stopping and restarting again, but i get the following error, and the namenodes and datanodes do not start.
./start-dfs.sh
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.hadoop.conf.Configuration.addDeprecations([Lorg/apache/hadoop/conf/Configuration$DeprecationDelta;)V
at org.apache.hadoop.hdfs.HdfsConfiguration.addDeprecatedKeys(HdfsConfiguration.java:68)
at org.apache.hadoop.hdfs.HdfsConfiguration.<clinit>(HdfsConfiguration.java:34)
at org.apache.hadoop.hdfs.tools.GetConf.<clinit>(GetConf.java:126)
Starting namenodes on []
Password:
I didnt change any properties in the hadoop conf files.
Thanks in advance for any help.
When trying to run the basic example from hadoop installation guide, I get the following error:
$ bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.9.0.jar grep input output 'dfs[a-z.]+'
java.lang.NoSuchMethodError: org.apache.hadoop.util.ProgramDriver.run([Ljava/lang/String;)I
at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)
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:498)
at org.apache.hadoop.util.RunJar.main(RunJar.java:156)
I have installed hadoop 2.6 in Ubuntu Linux 15.04 and its running fine. But, when I am running a sample test mapreduce program, its giving the following error:
org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://localhost:54310/user/hduser/input.
Kindly help me. Below is the complete details of the error.
hduser#krishadoop:/usr/local/hadoop/sbin$ hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar wordcount input output
Picked up JAVA_TOOL_OPTIONS: -javaagent:/usr/share/java/jayatanaag.jar
15/08/24 15:22:37 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/08/24 15:22:38 INFO Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id
15/08/24 15:22:38 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=
15/08/24 15:22:39 INFO mapreduce.JobSubmitter: Cleaning up the staging area file:/app/hadoop/tmp/mapred/staging/hduser1122930879/.staging/job_local1122930879_0001
org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://localhost:54310/user/hduser/input
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.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:385)
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:1296)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1293)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1293)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1314)
at org.apache.hadoop.examples.WordCount.main(WordCount.java:87)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:71)
at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144)
at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:74)
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.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Seems like you mentioned a wrong input path. Hadoop is searching for an input path at /user/hduser/input. Hadoop also follows unix like tree structure. If you simply mention a directory input it will be taken as /user/{username}/input.
hadoop fs -mkdir -p /user/hduser/input
hadoop fs -put <datafile> /user/hduser/input
If you see this path (file) physically and still getting the error, you may have confused with local file system and Hadoop Distributed File System(HDFS). In order to run this map-reduce, this file should be located in HDFS (locating only inside local file system will not do it.).
You can import local file system files into HDFS by this command.
hadoop fs -put <local_file_path> <HDFS_diresctory>
You confirm that the file that you imported exists in HDFS by this command.
hadoop fs -ls <HDFS_path>
You must create and upload your input before executing your hadoop job. For example, if you need to upload input.txt file, you should do the following:
$HADOOP_HOME/bin/hdfs dfs -mkdir /user/hduser/input
$HADOOP_HOME/bin/hdfs dfs -copyFromLocal $HADOOP_HOME/input.txt /user/hduser/input/input.txt
The first line creates the directory, and the other upload your input file into hdfs (hadoop fylesystem).
When you compile any jar file using input and output file/directory, you should make sure that the input file is already created(in the specified path) and output file does not exist.
If you want to give a text file as input file, first copy a text file from local file system to hdfs and compiling it by using the following commands
hadoop fs -copyFromLocal /input.txt /user/hduser/input.txt
/usr/local/hadoop/sbin$ yarn jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.jar wordcount /user/hduser/input.txt /output
/input.txt may be replaced with address of any text file.
You need to start Pig in local mode and not cluster node:
pig -x local
Program is not able to find the Hadoop path for the inputs. It is searching in the local system files rather than Hadoop's DFS.
This problem will go away when your program is able to locate the HDFS location. We need to let the program understand the HDFS location given in the configuration file. To do that, add these lines in your program code.
Configuration conf = new Configuration();
conf.addResource(new Path("/usr/local/hadoop/hadoop-2.7.3/etc/hadoop/core-site.xml"));
conf.addResource(new Path("/usr/local/hadoop/hadoop-2.7.3/etc/hadoop/hdfs-site.xml"));
you should make the directory in HDFS:
for instance, "hadoop fs -mkdir /input_dir"
Then when you run your MapReduce program. You should mention the absolute path of input directory, so the format should be:
hadoop jar jarFileName.jar className /input_dir /outputdir right
The following is wrong because it is relative path
hadoop jar jarFileName.jar className input_dir outputdir wrong
If you find /bin/bash: /bin/java: No such file or directory in log, try setting JAVA_HOME in /etc/hadoop/hadoop-env.sh
I have installed hadoop-2.6.0 and also I checked that all the hadoop daemons are running. I am able to create or copy directory in hdfs but not able to copy file to hdfs.
Command:
bin/hadoop fs -copyFromLocal /home/130853/Hadoop_Data/abc /trial/abc
It's giving following exception:
Exception in thread "main" java.lang.UnsatisfiedLinkError: org.apache.hadoop.util.NativeCrc32.nativeComputeChunkedSumsByteArray(II[BI[BIILjava/lang/String;JZ)V
at org.apache.hadoop.util.NativeCrc32.nativeComputeChunkedSumsByteArray(Native Method)
at org.apache.hadoop.util.NativeCrc32.calculateChunkedSumsByteArray(NativeCrc32.java:86)
at org.apache.hadoop.util.DataChecksum.calculateChunkedSums(DataChecksum.java:430)
at org.apache.hadoop.fs.FSOutputSummer.writeChecksumChunks(FSOutputSummer.java:202)
at org.apache.hadoop.fs.FSOutputSummer.flushBuffer(FSOutputSummer.java:163)
at org.apache.hadoop.fs.FSOutputSummer.flushBuffer(FSOutputSummer.java:144)
at org.apache.hadoop.hdfs.DFSOutputStream.close(DFSOutputStream.java:2217)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:106)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:54)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:112)
at org.apache.hadoop.fs.shell.CommandWithDestination$TargetFileSystem.writeStreamToFile(CommandWithDestination.java:466)
at org.apache.hadoop.fs.shell.CommandWithDestination.copyStreamToTarget(CommandWithDestination.java:391)
at org.apache.hadoop.fs.shell.CommandWithDestination.copyFileToTarget(CommandWithDestination.java:328)
at org.apache.hadoop.fs.shell.CommandWithDestination.processPath(CommandWithDestination.java:263)
at org.apache.hadoop.fs.shell.CommandWithDestination.processPath(CommandWithDestination.java:248)
at org.apache.hadoop.fs.shell.Command.processPaths(Command.java:306)
at org.apache.hadoop.fs.shell.Command.processPathArgument(Command.java:278)
at org.apache.hadoop.fs.shell.CommandWithDestination.processPathArgument(CommandWithDestination.java:243)
at org.apache.hadoop.fs.shell.Command.processArgument(Command.java:260)
at org.apache.hadoop.fs.shell.Command.processArguments(Command.java:244)
at org.apache.hadoop.fs.shell.CommandWithDestination.processArguments(CommandWithDestination.java:220)
at org.apache.hadoop.fs.shell.CopyCommands$Put.processArguments(CopyCommands.java:267)
at org.apache.hadoop.fs.shell.Command.processRawArguments(Command.java:190)
at org.apache.hadoop.fs.shell.Command.run(Command.java:154)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:287)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:340)
Can someone please help on this?
what is your Linux System ? 64bit or 32 bit ?
if it's 64bit , suggest you recomplie hadoop source code in order to it support native lib .
if it's 32bit ,suggest you switch 64bit system.
try execute command ,
hadoop checknative -a
When trying to execute a sqoop job which has my Hadoop program passed as a jar file in -jarFiles parameter, the execution blows off with below error. Any resolution seems to be not available. Other jobs with same Hadoop user is getting executed successfully.
org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.io.FileNotFoundException: File does not exist: hdfs://sandbox.hortonworks.com:8020/user/root/.staging/job_1423050964699_0003/job.splitmetainfo
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.createSplits(JobImpl.java:1541)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.transition(JobImpl.java:1396)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.transition(JobImpl.java:1363)
at org.apache.hadoop.yarn.state.StateMachineFactory$MultipleInternalArc.doTransition(StateMachineFactory.java:385)
at org.apache.hadoop.yarn.state.StateMachineFactory.doTransition(StateMachineFactory.java:302)
at org.apache.hadoop.yarn.state.StateMachineFactory.access$300(StateMachineFactory.java:46)
at org.apache.hadoop.yarn.state.StateMachineFactory$InternalStateMachine.doTransition(StateMachineFactory.java:448)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl.handle(JobImpl.java:976)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl.handle(JobImpl.java:135)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster$JobEventDispatcher.handle(MRAppMaster.java:1241)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.serviceStart(MRAppMaster.java:1041)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster$1.run(MRAppMaster.java:1452)
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:1548)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.initAndStartAppMaster(MRAppMaster.java:1448)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.main(MRAppMaster.java:1381)
So here is the way I solved it. We are using CDH5 to run Camus to pull data from kafka. We run CamusJob which is responsible for getting data from kafka using comman line:
hadoop jar...
The problem is that new hosts didn't get so-called "yarn-gateway". Cloudera names pack of configs related to service and copied to /etc/hadoop/conf
as "gateway". So I just clicked "deploy client configuration" in CM UI. YARN client conf has been copied to each YARN NodeManager node and it solved problem.
Exception in thread "main" org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://yuqing-namenode:9000/user/yuqing/2
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:235)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:252)
at org.apache.hadoop.mapred.JobClient.writeNewSplits(JobClient.java:962)
at org.apache.hadoop.mapred.JobClient.writeSplits(JobClient.java:979)
at org.apache.hadoop.mapred.JobClient.access$600(JobClient.java:174)
at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:897)
at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:850)
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:1121)
at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:850)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:500)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:530)
at org.apache.nutch.util.NutchJob.waitForCompletion(NutchJob.java:50)
at org.apache.nutch.crawl.InjectorJob.run(InjectorJob.java:219)
at org.apache.nutch.crawl.Crawler.runTool(Crawler.java:68)
at org.apache.nutch.crawl.Crawler.run(Crawler.java:136)
at org.apache.nutch.crawl.Crawler.run(Crawler.java:250)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.nutch.crawl.Crawler.main(Crawler.java:257)
When I remove the config file of hadoop from nutch conf, the first line of error become:
Exception in thread "main" org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: file:/home/yuqing/workspace/nutch2.0/2
Once I run Nutch2.0 success with hbase, but now the full distribution is not work.
Hbase in full distribution runs normal, I can op it in shell.
next I create a folder in nutch2.0, then the crawler can running, but output of console seems unnormal.
Now I have to have a meal.
Looks like you don't have input path. Excactly as hadoop said.
Check, that hdfs dfs -ls /user/yuqing/2 return something (2 should be file or directory)
As for the second part, when you remove hadoop configs, hadoop library uses internal configs (you can find them in distribution with names *-default.xml, f.e. core-default.xml), and hadoop functions in 'local' mode. In 'local' mode all paths are local (in local filesystem).
So, when you reference file in 'hdfs' mode, f.e. hdfs dfs -ls /some/file, hadoop will lookup file in hdfs (hdfs://namenode.ip/some/file), but in local mode file will be searched in relative (typically file:/home/user/some/file).
You can see that in your output: file:/home/yuqing/workspace/nutch2.0/2