If I don't miss it, the documentation in the link doesn't say anything
about using seqdirectory.

I don't remember how it works in 0.7, but it basically says:
Given a file of lines of <userId\titemId\trating>,
1- run mahout parallelALS
2- run mahout recommendfactorized

The input file for the 2nd step is the output of the first one.

Hope this helps

Gokhan

On Tue, Nov 25, 2014 at 4:03 PM, Ashok Harnal <ashokhar...@gmail.com> wrote:

> Thank you for the reply.
>
> I proceeded as per the Example listed in Apache Mahout help page at this
> link <https://mahout.apache.org/users/recommender/intro-als-hadoop.html>:
>
> https://mahout.apache.org/users/recommender/intro-als-hadoop.html
>
> As per Step 4 of this link, after creation of sequence file, issue the
> following command:
>
> $ mahout recommendfactorized --input $als_input --userFeatures
> $als_output/U/ --itemFeatures $als_output/M/ --numRecommendations 1
> --output recommendations --maxRating 1
>
> Now, the folders 'U' and 'M' as are mentioned in above command
> are created during the process of sequence file creation by mahout as
> per the following command:
>
> $mahout seqdirectory -i /user/ashokharnal/testdata -ow -o
> /user/ashokharnal/seqfiles
>
> Since these very names were used in the Example, I thought nothing more
> was required to be done in creating sequence file.
>
> What further steps are needed? Please suggest simple shell command.
>
> Thanks,
>
> Ashok Kumar Harnal
>
>
>
>
>
>
>
>
>
> On 25 November 2014 at 14:52, Gokhan Capan <gkhn...@gmail.com> wrote:
>
> > The problem is that seqdirectory doesn't do what you want. From the
> > documentation page:
> >
> > The output of seqDirectory will be a Sequence file < Text, Text > of
> > all documents (/sub-directory-path/documentFileName, documentText).
> >
> > Please see
> > http://mahout.apache.org/users/basics/creating-vectors-from-text.html
> > for more details
> >
> > Sent from my iPhone
> >
> > > On Nov 25, 2014, at 10:35, Ashok Harnal <ashokhar...@gmail.com> wrote:
> > >
> > > I have now tested on a fresh cluster of Cloudera 5.2. Mahout 0.9 comes
> > > installed with it.
> > >
> > > My input data is just five lines, tab-separated. I have typed this data
> > > myself. So
> > > I do not expect anything else in this data.
> > >
> > > 1    100    1
> > > 1    200    5
> > > 1    400    1
> > > 2    200    2
> > > 2    300    1
> > >
> > > I use the following Mahout command for factorization:
> > >
> > > mahout parallelALS --input /user/ashokharnal/mydata --output
> > > /user/ashokharnal/outdata --lambda 0.1 --implicitFeedback true --alpha
> > 0.8
> > > --numFeatures 2 --numIterations 5  --numThreadsPerSolver 1 --tempDir
> > > /tmp/ratings
> > >
> > > I then, create the following just two-line tab separated test file.
> > >
> > > 1    100
> > > 2    200
> > >
> > > I have typed this out myself. So no text string is expected.
> > >
> > > This file was then converted to sequence format, as:
> > >
> > > mahout seqdirectory -i /user/ashokharnal/testdata -ow -o
> > > /user/ashokharnal/seqfiles
> > >
> > > Finally, I ran the following command to get recommendations:
> > >
> > > mahout recommendfactorized --input /user/ashokharnal/seqfiles
> > > --userFeatures /user/ashokharnal/outdata/U/ --itemFeatures
> > > /user/ashokharnal/outdata/M/ --numRecommendations 1 --output
> > > recommendations --maxRating 1
> > >
> > > I get the same error. Full error trace is as below:
> > >
> > >
> > > $ mahout recommendfactorized --input /user/ashokharnal/seqfiles
> > > --userFeatures /user/ashokharnal/outdata/U/ --itemFeatures
> > > /user/ashokharnal/outdata/M/ --numRecommendations 1 --output
> > > recommendations --maxRating 1
> > > MAHOUT_LOCAL is not set; adding HADOOP_CONF_DIR to classpath.
> > > Running on hadoop, using
> > > /opt/cloudera/parcels/CDH/lib/hadoop-0.20-mapreduce/bin/hadoop and
> > > HADOOP_CONF_DIR=/etc/hadoop/conf
> > > MAHOUT-JOB:
> >
> /opt/cloudera/parcels/CDH-5.2.0-1.cdh5.2.0.p0.36/lib/mahout/mahout-examples-0.9-cdh5.2.0-job.jar
> > > 14/11/25 13:48:46 WARN driver.MahoutDriver: No
> > > recommendfactorized.props found on classpath, will use command-line
> > > arguments only
> > > 14/11/25 13:48:46 INFO common.AbstractJob: Command line arguments:
> > > {--endPhase=[2147483647], --input=[/user/ashokharnal/seqfiles],
> > > --itemFeatures=[/user/ashokharnal/outdata/M/], --maxRating=[1],
> > > --numRecommendations=[1], --numThreads=[1],
> > > --output=[recommendations], --startPhase=[0], --tempDir=[temp],
> > > --userFeatures=[/user/ashokharnal/outdata/U/]}
> > > 14/11/25 13:48:47 INFO Configuration.deprecation: session.id is
> > > deprecated. Instead, use dfs.metrics.session-id
> > > 14/11/25 13:48:47 INFO jvm.JvmMetrics: Initializing JVM Metrics with
> > > processName=JobTracker, sessionId=
> > > 14/11/25 13:48:47 WARN mapred.JobClient: Use GenericOptionsParser for
> > > parsing the arguments. Applications should implement Tool for the
> > > same.
> > > 14/11/25 13:48:47 INFO input.FileInputFormat: Total input paths to
> > process : 1
> > > 14/11/25 13:48:48 WARN conf.Configuration:
> > >
> >
> file:/tmp/hadoop-bigdata1/mapred/local/localRunner/bigdata1/job_local2071551631_0001/job_local2071551631_0001.xml:an
> > > attempt to override final parameter:
> > > hadoop.ssl.keystores.factory.class;  Ignoring.
> > > 14/11/25 13:48:48 WARN conf.Configuration:
> > >
> >
> file:/tmp/hadoop-bigdata1/mapred/local/localRunner/bigdata1/job_local2071551631_0001/job_local2071551631_0001.xml:an
> > > attempt to override final parameter: hadoop.ssl.client.conf;
> > > Ignoring.
> > > 14/11/25 13:48:48 WARN conf.Configuration:
> > >
> >
> file:/tmp/hadoop-bigdata1/mapred/local/localRunner/bigdata1/job_local2071551631_0001/job_local2071551631_0001.xml:an
> > > attempt to override final parameter: hadoop.ssl.server.conf;
> > > Ignoring.
> > > 14/11/25 13:48:48 WARN conf.Configuration:
> > >
> >
> file:/tmp/hadoop-bigdata1/mapred/local/localRunner/bigdata1/job_local2071551631_0001/job_local2071551631_0001.xml:an
> > > attempt to override final parameter: hadoop.ssl.require.client.cert;
> > > Ignoring.
> > > 14/11/25 13:48:48 INFO mapred.LocalJobRunner: OutputCommitter set in
> > config null
> > > 14/11/25 13:48:48 INFO mapred.JobClient: Running job:
> > job_local2071551631_0001
> > > 14/11/25 13:48:48 INFO mapred.LocalJobRunner: OutputCommitter is
> > > org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
> > > 14/11/25 13:48:48 INFO mapred.LocalJobRunner: Waiting for map tasks
> > > 14/11/25 13:48:48 INFO mapred.LocalJobRunner: Starting task:
> > > attempt_local2071551631_0001_m_000000_0
> > > 14/11/25 13:48:48 WARN mapreduce.Counters: Group
> > > org.apache.hadoop.mapred.Task$Counter is deprecated. Use
> > > org.apache.hadoop.mapreduce.TaskCounter instead
> > > 14/11/25 13:48:48 INFO util.ProcessTree: setsid exited with exit code 0
> > > 14/11/25 13:48:48 INFO mapred.Task:  Using ResourceCalculatorPlugin :
> > > org.apache.hadoop.util.LinuxResourceCalculatorPlugin@4e7f1fc4
> > > 14/11/25 13:48:48 INFO mapred.MapTask: Processing split:
> > > hdfs://bigdata1:8020/user/ashokharnal/seqfiles/part-m-00000:0+196
> > > 14/11/25 13:48:48 INFO zlib.ZlibFactory: Successfully loaded &
> > > initialized native-zlib library
> > > 14/11/25 13:48:48 INFO compress.CodecPool: Got brand-new decompressor
> > [.deflate]
> > > 14/11/25 13:48:48 INFO mapred.LocalJobRunner: Map task executor
> complete.
> > > 14/11/25 13:48:48 WARN mapred.LocalJobRunner: job_local2071551631_0001
> > > java.lang.Exception: java.lang.RuntimeException:
> > > java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast
> > > to org.apache.hadoop.io.IntWritable
> > >    at
> > org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:406)
> > > Caused by: java.lang.RuntimeException: java.lang.ClassCastException:
> > > org.apache.hadoop.io.Text cannot be cast to
> > > org.apache.hadoop.io.IntWritable
> > >    at
> >
> org.apache.hadoop.mapreduce.lib.map.MultithreadedMapper.run(MultithreadedMapper.java:151)
> > >    at
> >
> org.apache.mahout.cf.taste.hadoop.als.MultithreadedSharingMapper.run(MultithreadedSharingMapper.java:60)
> > >    at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:672)
> > >    at org.apache.hadoop.mapred.MapTask.run(MapTask.java:330)
> > >    at
> >
> org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:268)
> > >    at
> > java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> > >    at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> > >    at
> >
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> > >    at
> >
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> > >    at java.lang.Thread.run(Thread.java:745)
> > > Caused by: java.lang.ClassCastException: org.apache.hadoop.io.Text
> > > cannot be cast to org.apache.hadoop.io.IntWritable
> > >    at
> >
> org.apache.mahout.cf.taste.hadoop.als.PredictionMapper.map(PredictionMapper.java:44)
> > >    at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:140)
> > >    at
> >
> org.apache.hadoop.mapreduce.lib.map.MultithreadedMapper$MapRunner.run(MultithreadedMapper.java:268)
> > > 14/11/25 13:48:49 INFO mapred.JobClient:  map 0% reduce 0%
> > > 14/11/25 13:48:49 INFO mapred.JobClient: Job complete:
> > job_local2071551631_0001
> > > 14/11/25 13:48:49 INFO mapred.JobClient: Counters: 0
> > > 14/11/25 13:48:49 INFO driver.MahoutDriver: Program took 2651 ms
> > > (Minutes: 0.04418333333333333)
> > > 14/11/25 13:48:49 ERROR hdfs.DFSClient: Failed to close inode 18867
> > >
> >
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.server.namenode.LeaseExpiredException):
> > > No lease on
> >
> /user/bigdata1/recommendations/_temporary/_attempt_local2071551631_0001_m_000000_0/part-m-00000
> > > (inode 18867): File does not exist. Holder
> > > DFSClient_NONMAPREDUCE_-1603552809_1 does not have any open files.
> > >    at
> >
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem.java:3319)
> > >    at
> >
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFileInternal(FSNamesystem.java:3407)
> > >    at
> >
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFile(FSNamesystem.java:3377)
> > >    at
> >
> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.complete(NameNodeRpcServer.java:673)
> > >    at
> >
> org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.complete(AuthorizationProviderProxyClientProtocol.java:219)
> > >    at
> >
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.complete(ClientNamenodeProtocolServerSideTranslatorPB.java:520)
> > >    at
> >
> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
> > >    at
> >
> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587)
> > >    at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026)
> > >    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013)
> > >    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009)
> > >    at java.security.AccessController.doPrivileged(Native Method)
> > >    at javax.security.auth.Subject.doAs(Subject.java:415)
> > >    at
> >
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1614)
> > >    at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007)
> > >
> > >    at org.apache.hadoop.ipc.Client.call(Client.java:1411)
> > >    at org.apache.hadoop.ipc.Client.call(Client.java:1364)
> > >    at
> >
> org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
> > >    at com.sun.proxy.$Proxy16.complete(Unknown Source)
> > >    at
> >
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.complete(ClientNamenodeProtocolTranslatorPB.java:435)
> > >    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.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187)
> > >    at
> >
> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
> > >    at com.sun.proxy.$Proxy17.complete(Unknown Source)
> > >    at
> >
> org.apache.hadoop.hdfs.DFSOutputStream.completeFile(DFSOutputStream.java:2180)
> > >    at
> > org.apache.hadoop.hdfs.DFSOutputStream.close(DFSOutputStream.java:2164)
> > >    at
> >
> org.apache.hadoop.hdfs.DFSClient.closeAllFilesBeingWritten(DFSClient.java:908)
> > >    at org.apache.hadoop.hdfs.DFSClient.close(DFSClient.java:926)
> > >    at
> >
> org.apache.hadoop.hdfs.DistributedFileSystem.close(DistributedFileSystem.java:861)
> > >    at
> > org.apache.hadoop.fs.FileSystem$Cache.closeAll(FileSystem.java:2687)
> > >    at
> >
> org.apache.hadoop.fs.FileSystem$Cache$ClientFinalizer.run(FileSystem.java:2704)
> > >    at
> >
> org.apache.hadoop.util.ShutdownHookManager$1.run(ShutdownHookManager.java:54)
> > >
> > > I now at least rule out that it is an Input/Output file problem. Same
> > error
> > > was observed when I worked on mahout 0.8 installed on Cloudera 5.0.
> > >
> > > So either mahout compilation in both Cloudera 5.0 and now 5.2 is a
> > > problem or there is a problem with command line version of mahout
> > > if the command arguments that I have supplied above are OK.
> > >
> > > Thanks,
> > >
> > > Ashok Kumar Harnal
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >
> > >> On 25 November 2014 at 08:52, Ashok Harnal <ashokhar...@gmail.com>
> > wrote:
> > >>
> > >> Thanks for the reply. I will recheck and repeat the experiment using
> > >> self-typed input.
> > >> I am reinstalling Cloudera 5.2.
> > >>
> > >> Ashok Kumar Harnal
> > >>
> > >>> On 24 November 2014 at 21:38, Ted Dunning <ted.dunn...@gmail.com>
> > wrote:
> > >>>
> > >>> The error message that you got indicated that some input was textual
> > and
> > >>> needed to be an integer.
> > >>>
> > >>> Is there a chance that the type of some of your input is incorrect in
> > your
> > >>> sequence files?
> > >>>
> > >>>
> > >>>
> > >>> On Mon, Nov 24, 2014 at 3:47 PM, Ashok Harnal <ashokhar...@gmail.com
> >
> > >>> wrote:
> > >>>
> > >>>> Thanks for reply. I did not compile mahout. Mahout 0.9 comes along
> > with
> > >>>> Cloudera 5.2.
> > >>>>
> > >>>> Ashok Kumar Harnal
> > >>>>
> > >>>>> On 24 November 2014 at 18:42, <jayunit...@gmail.com> wrote:
> > >>>>>
> > >>>>> Looks like maybe a mismatch between mahout version you compiled
> code
> > >>>>> against and the mahout version installed in the cluster?
> > >>>>>
> > >>>>>> On Nov 24, 2014, at 8:08 AM, Ashok Harnal <ashokhar...@gmail.com>
> > >>>> wrote:
> > >>>>>>
> > >>>>>> Thanks for reply. Here are the facts:
> > >>>>>>
> > >>>>>> 1. I am using mahout shell command and not a java program. So I am
> > >>> not
> > >>>>>> passing any arguments to map function.
> > >>>>>>
> > >>>>>> 2. I am using hadoop. Input training file is loaded in hadoop. It
> > >>> is a
> > >>>>> tab
> > >>>>>> separated 'u1.base' file of MovieLens dataset.
> > >>>>>>   It is something like below. All users are there along with
> > >>> whatever
> > >>>>>> ratings they have given.
> > >>>>>>
> > >>>>>> 1    1    5
> > >>>>>> 1    2    3
> > >>>>>> 1    3    4
> > >>>>>> 1    4    3
> > >>>>>> 1    5    3
> > >>>>>> :
> > >>>>>> :
> > >>>>>> 2    1    4
> > >>>>>> 2    10    2
> > >>>>>> 2    14    4
> > >>>>>> :
> > >>>>>> :
> > >>>>>>
> > >>>>>> 3. I use the following mahout command to build model:
> > >>>>>>
> > >>>>>>     mahout parallelALS --input /user/ashokharnal/u1.base --output
> > >>>>>> /user/ashokharnal/u1.out --lambda 0.1 --implicitFeedback true
> > >>> --alpha
> > >>>>>> 0.8 --numFeatures 15 --numIterations 10  --numThreadsPerSolver 1
> > >>>>>> --tempDir /tmp/ratings
> > >>>>>>
> > >>>>>> 4. My test file is just two-lines tab-separated file as below:
> > >>>>>>
> > >>>>>>
> > >>>>>> 1    1
> > >>>>>> 2    1
> > >>>>>>
> > >>>>>> 5. This file is converted to sequence file using the following
> > >>> mahout
> > >>>>> command:
> > >>>>>>
> > >>>>>> mahout seqdirectory -i /user/ashokharnal/ufind2.test -o
> > >>>>>> /user/ashokharnal/seqfiles
> > >>>>>>
> > >>>>>> 6. I then run the following mahout command:
> > >>>>>>
> > >>>>>> mahout recommendfactorized --input /user/ashokharnal/seqfiles
> > >>>>>> --userFeatures  /user/ashokharnal/u1.out/U/ --itemFeatures
> > >>>>>> /user/akh/u1.out/M/ --numRecommendations 1 --output
> > >>> /tmp/reommendation
> > >>>>>> --maxRating 1
> > >>>>>>
> > >>>>>> 7. I am using CentOS 6.5 with Cloudera 5.2 installed.
> > >>>>>>
> > >>>>>> The error messages are as below:
> > >>>>>>
> > >>>>>> 14/11/24 18:06:48 INFO mapred.MapTask: Processing split:
> > >>>>>> hdfs://master:8020/user/ashokharnal/seqfiles/part-m-00000:0+195
> > >>>>>> 14/11/24 18:06:49 INFO zlib.ZlibFactory: Successfully loaded &
> > >>>>>> initialized native-zlib library
> > >>>>>> 14/11/24 18:06:49 INFO compress.CodecPool: Got brand-new
> > >>> decompressor
> > >>>>> [.deflate]
> > >>>>>> 14/11/24 18:06:49 INFO mapred.LocalJobRunner: Map task executor
> > >>>> complete.
> > >>>>>> 14/11/24 18:06:49 WARN mapred.LocalJobRunner:
> > >>> job_local1177125820_0001
> > >>>>>> java.lang.Exception: java.lang.RuntimeException:
> > >>>>>> java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be
> > >>> cast
> > >>>>>> to org.apache.hadoop.io.IntWritable
> > >>>>>>   at
> > >>>
> > org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:406)
> > >>>>>> Caused by: java.lang.RuntimeException:
> java.lang.ClassCastException:
> > >>>>>> org.apache.hadoop.io.Text cannot be cast to
> > >>>>>> org.apache.hadoop.io.IntWritable
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.mapreduce.lib.map.MultithreadedMapper.run(MultithreadedMapper.java:151)
> > >>>>>>   at
> > >>>
> >
> org.apache.mahout.cf.taste.hadoop.als.MultithreadedSharingMapper.run(MultithreadedSharingMapper.java:60)
> > >>>>>>   at
> > >>> org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:672)
> > >>>>>>   at org.apache.hadoop.mapred.MapTask.run(MapTask.java:330)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:268)
> > >>>>>>   at
> > >>>
> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> > >>>>>>   at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> > >>>>>>   at
> > >>>
> >
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> > >>>>>>   at
> > >>>
> >
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> > >>>>>>   at java.lang.Thread.run(Thread.java:744)
> > >>>>>> Caused by: java.lang.ClassCastException: org.apache.hadoop.io.Text
> > >>>>>> cannot be cast to org.apache.hadoop.io.IntWritable
> > >>>>>>   at
> > >>>
> >
> org.apache.mahout.cf.taste.hadoop.als.PredictionMapper.map(PredictionMapper.java:44)
> > >>>>>>   at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:140)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.mapreduce.lib.map.MultithreadedMapper$MapRunner.run(MultithreadedMapper.java:268)
> > >>>>>> 14/11/24 18:06:49 INFO mapred.JobClient:  map 0% reduce 0%
> > >>>>>> 14/11/24 18:06:49 INFO mapred.JobClient: Job complete:
> > >>>>> job_local1177125820_0001
> > >>>>>> 14/11/24 18:06:49 INFO mapred.JobClient: Counters: 0
> > >>>>>> 14/11/24 18:06:49 INFO driver.MahoutDriver: Program took 2529 ms
> > >>>>>> (Minutes: 0.04215)
> > >>>>>> 14/11/24 18:06:49 ERROR hdfs.DFSClient: Failed to close inode
> 24733
> > >>>
> >
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.hdfs.server.namenode.LeaseExpiredException):
> > >>>>>> No lease on
> > >>>
> >
> /tmp/reommendation/_temporary/_attempt_local1177125820_0001_m_000000_0/part-m-00000
> > >>>>>> (inode 24733): File does not exist. Holder
> > >>>>>> DFSClient_NONMAPREDUCE_157704469_1 does not have any open files.
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkLease(FSNamesystem.java:3319)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFileInternal(FSNamesystem.java:3407)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.completeFile(FSNamesystem.java:3377)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.complete(NameNodeRpcServer.java:673)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.complete(AuthorizationProviderProxyClientProtocol.java:219)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.complete(ClientNamenodeProtocolServerSideTranslatorPB.java:520)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587)
> > >>>>>>   at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026)
> > >>>>>>   at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013)
> > >>>>>>   at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009)
> > >>>>>>   at java.security.AccessController.doPrivileged(Native Method)
> > >>>>>>   at javax.security.auth.Subject.doAs(Subject.java:415)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1614)
> > >>>>>>   at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007)
> > >>>>>>
> > >>>>>>   at org.apache.hadoop.ipc.Client.call(Client.java:1411)
> > >>>>>>   at org.apache.hadoop.ipc.Client.call(Client.java:1364)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
> > >>>>>>   at com.sun.proxy.$Proxy16.complete(Unknown Source)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.complete(ClientNamenodeProtocolTranslatorPB.java:435)
> > >>>>>>   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.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
> > >>>>>>   at com.sun.proxy.$Proxy17.complete(Unknown Source)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.DFSOutputStream.completeFile(DFSOutputStream.java:2180)
> > >>>>>>   at
> > >>>
> org.apache.hadoop.hdfs.DFSOutputStream.close(DFSOutputStream.java:2164)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.DFSClient.closeAllFilesBeingWritten(DFSClient.java:908)
> > >>>>>>   at org.apache.hadoop.hdfs.DFSClient.close(DFSClient.java:926)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.hdfs.DistributedFileSystem.close(DistributedFileSystem.java:861)
> > >>>>>>   at
> > >>>>>
> org.apache.hadoop.fs.FileSystem$Cache.closeAll(FileSystem.java:2687)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.fs.FileSystem$Cache$ClientFinalizer.run(FileSystem.java:2704)
> > >>>>>>   at
> > >>>
> >
> org.apache.hadoop.util.ShutdownHookManager$1.run(ShutdownHookManager.java:54)
> > >>>>>>
> > >>>>>> Sorry for bothering
> > >>>>>>
> > >>>>>> Ashok Kumar Harnal
> > >>>>>>
> > >>>>>>
> > >>>>>>
> > >>>>>> On 24 November 2014 at 15:50, Divyang Shah
> > >>>>> <divyangas...@yahoo.com.invalid>
> > >>>>>> wrote:
> > >>>>>>
> > >>>>>>> hello,        problem is in map method argument you have passed
> is
> > >>> not
> > >>>>>>> matching with specified in job configuration. so, match both of
> > >>> them.
> > >>>>>>>
> > >>>>>>>
> > >>>>>>>    On Sunday, 23 November 2014 8:31 AM, Ashok Harnal <
> > >>>>>>> ashokhar...@gmail.com> wrote:
> > >>>>>>>
> > >>>>>>>
> > >>>>>>> I use mahout 0.7 installed in Cloudera. After creating
> user-feature
> > >>>> and
> > >>>>>>> item-feature matrix in hdfs, I run the following command:
> > >>>>>>>
> > >>>>>>> mahout recommendfactorized --input /user/ashokharnal/seqfiles
> > >>>>>>> --userFeatures $res_out_file/U/ --itemFeatures $res_out_file/M/
> > >>>>>>> --numRecommendations 1 --output $reommendation --maxRating 1
> > >>>>>>>
> > >>>>>>> After some time, I get the following error:
> > >>>>>>>
> > >>>>>>> :
> > >>>>>>> :
> > >>>>>>> 14/11/23 08:28:20 INFO mapred.LocalJobRunner: Map task executor
> > >>>>> complete.
> > >>>>>>> 14/11/23 08:28:20 WARN mapred.LocalJobRunner:
> > >>> job_local954305987_0001
> > >>>>>>> java.lang.Exception: java.lang.RuntimeException:
> > >>>>>>> java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be
> > >>> cast
> > >>>>> to
> > >>>>>>> org.apache.hadoop.io.IntWritable
> > >>>>>>>   at
> > >>>>
> > org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:406)
> > >>>>>>> Caused by: java.lang.RuntimeException:
> > >>> java.lang.ClassCastException:
> > >>>>>>> org.apache.hadoop.io.Text cannot be cast to
> > >>>>>>> org.apache.hadoop.io.IntWritable
> > >>>>>>>   at
> > >>>
> >
> org.apache.hadoop.mapreduce.lib.map.MultithreadedMapper.run(MultithreadedMapper.java:151)
> > >>>>>>>   at
> > >>>
> >
> org.apache.mahout.cf.taste.hadoop.als.MultithreadedSharingMapper.run(MultithreadedSharingMapper.java:60)
> > >>>>>>>   at
> > >>> org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:672)
> > >>>>>>>   at org.apache.hadoop.mapred.MapTask.run(MapTask.java:330)
> > >>>>>>>   at
> > >>>
> >
> org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:268)
> > >>>>>>>   at
> > >>>>
> > java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
> > >>>>>>>   at java.util.concurrent.FutureTask.run(FutureTask.java:262)
> > >>>>>>>   at
> > >>>
> >
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> > >>>>>>>   at
> > >>>
> >
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> > >>>>>>>   at java.lang.Thread.run(Thread.java:744)
> > >>>>>>> Caused by: java.lang.ClassCastException:
> org.apache.hadoop.io.Text
> > >>>>> cannot
> > >>>>>>> be cast to org.apache.hadoop.io.IntWritable
> > >>>>>>>   at
> > >>>
> >
> org.apache.mahout.cf.taste.hadoop.als.PredictionMapper.map(PredictionMapper.java:44)
> > >>>>>>>   at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:140)
> > >>>>>>>   at
> > >>>
> >
> org.apache.hadoop.mapreduce.lib.map.MultithreadedMapper$MapRunner.run(MultithreadedMapper.java:268)
> > >>>>>>>
> > >>>>>>>
> > >>>>>>> Not sure what is wrong.
> > >>>>>>> Request help.
> > >>>>>>>
> > >>>>>>> Ashok Kumar Harnal
> > >>>>>>>
> > >>>>>>>
> > >>>>>>>
> > >>>>>>>
> > >>>>>>> --
> > >>>>>>> Visit my blog at: http://ashokharnal.wordpress.com/
> > >>>>>>
> > >>>>>>
> > >>>>>>
> > >>>>>> --
> > >>>>>> Visit my blog at: http://ashokharnal.wordpress.com/
> > >>>>
> > >>>>
> > >>>>
> > >>>> --
> > >>>> Visit my blog at: http://ashokharnal.wordpress.com/
> > >>
> > >>
> > >>
> > >> --
> > >> Visit my blog at: http://ashokharnal.wordpress.com/
> > >
> > >
> > >
> > > --
> > > Visit my blog at: http://ashokharnal.wordpress.com/
> >
>
>
>
> --
> Visit my blog at: http://ashokharnal.wordpress.com/
>

Reply via email to