Re: Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
You can pass the -D mapred.child.java.opts=-Xmx[some value] as part of your job, or set it in your job conf before your task is submitted. THen the per task jvm's will use that string as part of the jvm initialization paramter set The distributed cache is used for making files and archives that are stored in hdfs, available in the local file system working area of your tasks. The GenericOptionsParser class that most Hadoop user interfaces use, provides a couple of command line arguments that allow you to specify local file system files which are copied into hdfs and then made avilable as stated above -files and libjars are the to arguments. My book has a solid discussion and example set for the distributed cache in chapter 5. On Thu, Jun 18, 2009 at 1:45 PM, akhil1988 wrote: > > Hi Jason! > > I finally found out that there was some problem in reserving the HEAPSIZE > which I have resolved now. Actually we cannot change the HADOOP_HEAPSIZE > using export from our user account, after we have started the Hadoop. It > has > to changed by the root. > > I have a user account on the cluster and I was trying to change the > Hadoop_heapsize from my user account using 'export' which had no effect. > So I had to request my cluster administrator to increase the > HADOOP_HEAPSIZE > in hadoop-env.sh and then restart hadoop. Now the program is running > absolutely fine. Thanks for your help. > > One thing that I would like to ask you is that can we use DistributerCache > for transferring directories to the local cache of the tasks? > > Thanks, > Akhil > > > > akhil1988 wrote: > > > > Hi Jason! > > > > Thanks for going with me to solve my problem. > > > > To restate things and make it more easier to understand: I am working in > > local mode in the directory which contains the job jar and also the > Config > > and Data directories. > > > > I just removed the following three statements from my code: > >> DistributedCache.addCacheFile(new > >> URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); > >> DistributedCache.addCacheFile(new > >> URI("/home/akhil1988/Ner/OriginalNer/Config/"), conf); > >> DistributedCache.createSymlink(conf); > > > > The program executes till the same point as before now also and > > terminates. That means the above three statements are of no use while > > working in local mode. In local mode, the working directory for the > > map&reduce tasks becomes the current woking direcotry in which you > started > > the hadoop command to execute the job. > > > > Since I have removed the DistributedCache.add. statements there > should > > be no issue whether I am giving a file name or a directory name as > > argument to it. Now it seems to me that there is some problem in reading > > the binary file using binaryRead. > > > > Please let me know if I am going wrong anywhere. > > > > Thanks, > > Akhil > > > > > > > > > > > > jason hadoop wrote: > >> > >> I have only ever used the distributed cache to add files, including > >> binary > >> files such as shared libraries. > >> It looks like you are adding a directory. > >> > >> The DistributedCache is not generally used for passing data, but for > >> passing > >> file names. > >> The files must be stored in a shared file system (hdfs for simplicity) > >> already. > >> > >> The distributed cache makes the names available to the tasks, and the > the > >> files are extracted from hdfs and stored in the task local work area on > >> each > >> task tracker node. > >> It looks like you may be storing the contents of your files in the > >> distributed cache. > >> > >> On Wed, Jun 17, 2009 at 6:56 AM, akhil1988 > wrote: > >> > >>> > >>> Thanks Jason. > >>> > >>> I went inside the code of the statement and found out that it > eventually > >>> makes some binaryRead function call to read a binary file and there it > >>> strucks. > >>> > >>> Do you know whether there is any problem in giving a binary file for > >>> addition to the distributed cache. > >>> In the statement DistributedCache.addCacheFile(new > >>> URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); Data is a > directory > >>> which contains some text as well as some binary files. In the statement > >>> Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); I > >>> can > >>> see(in the output messages) that it is able to read the text files but > >>> it > >>> gets struck at the binary files. > >>> > >>> So, I think here the problem is: it is not able to read the binary > files > >>> which either have not been transferred to the cache or a binary file > >>> cannot > >>> be read. > >>> > >>> Do you know the solution to this? > >>> > >>> Thanks, > >>> Akhil > >>> > >>> > >>> jason hadoop wrote: > >>> > > >>> > Something is happening inside of your (Parameters. > >>> > readConfigAndLoadExternalData("Config/allLayer1.config");) > >>> > code, and the framework is killing the job for not heartbeating for > >>> 600 > >>> > seconds > >>> > > >>> > On Tue, Jun 16, 2009 at 8:32 PM, akhil1988 > >>>
Re: Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
Hi Jason! I finally found out that there was some problem in reserving the HEAPSIZE which I have resolved now. Actually we cannot change the HADOOP_HEAPSIZE using export from our user account, after we have started the Hadoop. It has to changed by the root. I have a user account on the cluster and I was trying to change the Hadoop_heapsize from my user account using 'export' which had no effect. So I had to request my cluster administrator to increase the HADOOP_HEAPSIZE in hadoop-env.sh and then restart hadoop. Now the program is running absolutely fine. Thanks for your help. One thing that I would like to ask you is that can we use DistributerCache for transferring directories to the local cache of the tasks? Thanks, Akhil akhil1988 wrote: > > Hi Jason! > > Thanks for going with me to solve my problem. > > To restate things and make it more easier to understand: I am working in > local mode in the directory which contains the job jar and also the Config > and Data directories. > > I just removed the following three statements from my code: >> DistributedCache.addCacheFile(new >> URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); >> DistributedCache.addCacheFile(new >> URI("/home/akhil1988/Ner/OriginalNer/Config/"), conf); >> DistributedCache.createSymlink(conf); > > The program executes till the same point as before now also and > terminates. That means the above three statements are of no use while > working in local mode. In local mode, the working directory for the > map&reduce tasks becomes the current woking direcotry in which you started > the hadoop command to execute the job. > > Since I have removed the DistributedCache.add. statements there should > be no issue whether I am giving a file name or a directory name as > argument to it. Now it seems to me that there is some problem in reading > the binary file using binaryRead. > > Please let me know if I am going wrong anywhere. > > Thanks, > Akhil > > > > > > jason hadoop wrote: >> >> I have only ever used the distributed cache to add files, including >> binary >> files such as shared libraries. >> It looks like you are adding a directory. >> >> The DistributedCache is not generally used for passing data, but for >> passing >> file names. >> The files must be stored in a shared file system (hdfs for simplicity) >> already. >> >> The distributed cache makes the names available to the tasks, and the the >> files are extracted from hdfs and stored in the task local work area on >> each >> task tracker node. >> It looks like you may be storing the contents of your files in the >> distributed cache. >> >> On Wed, Jun 17, 2009 at 6:56 AM, akhil1988 wrote: >> >>> >>> Thanks Jason. >>> >>> I went inside the code of the statement and found out that it eventually >>> makes some binaryRead function call to read a binary file and there it >>> strucks. >>> >>> Do you know whether there is any problem in giving a binary file for >>> addition to the distributed cache. >>> In the statement DistributedCache.addCacheFile(new >>> URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); Data is a directory >>> which contains some text as well as some binary files. In the statement >>> Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); I >>> can >>> see(in the output messages) that it is able to read the text files but >>> it >>> gets struck at the binary files. >>> >>> So, I think here the problem is: it is not able to read the binary files >>> which either have not been transferred to the cache or a binary file >>> cannot >>> be read. >>> >>> Do you know the solution to this? >>> >>> Thanks, >>> Akhil >>> >>> >>> jason hadoop wrote: >>> > >>> > Something is happening inside of your (Parameters. >>> > readConfigAndLoadExternalData("Config/allLayer1.config");) >>> > code, and the framework is killing the job for not heartbeating for >>> 600 >>> > seconds >>> > >>> > On Tue, Jun 16, 2009 at 8:32 PM, akhil1988 >>> wrote: >>> > >>> >> >>> >> One more thing, finally it terminates there (after some time) by >>> giving >>> >> the >>> >> final Exception: >>> >> >>> >> java.io.IOException: Job failed! >>> >>at >>> org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1217) >>> >> at LbjTagger.NerTagger.main(NerTagger.java:109) >>> >>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:597) >>> >>at org.apache.hadoop.util.RunJar.main(RunJar.java:165) >>> >>at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) >>> >>at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) >>> >>at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) >>> >>at org.apac
Re: Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
Hi Jason! Thanks for going with me to solve my problem. To restate things and make it more easier to understand: I am working in local mode in the directory which contains the job jar and also the Config and Data directories. I just removed the following three statements from my code: > DistributedCache.addCacheFile(new > URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); > DistributedCache.addCacheFile(new > URI("/home/akhil1988/Ner/OriginalNer/Config/"), conf); > DistributedCache.createSymlink(conf); The program executes till the same point as before now also and terminates. That means the above three statements are of no use while working in local mode. In local mode, the working directory for the map&reduce tasks becomes the current woking direcotry in which you started the hadoop command to execute the job. Since I have removed the DistributedCache.add. statements there should be no issue whether I am giving a file name or a directory name as argument to it. Now it seems to me that there is some problem in reading the binary file using binaryRead. Please let me know if I am going wrong anywhere. Thanks, Akhil jason hadoop wrote: > > I have only ever used the distributed cache to add files, including binary > files such as shared libraries. > It looks like you are adding a directory. > > The DistributedCache is not generally used for passing data, but for > passing > file names. > The files must be stored in a shared file system (hdfs for simplicity) > already. > > The distributed cache makes the names available to the tasks, and the the > files are extracted from hdfs and stored in the task local work area on > each > task tracker node. > It looks like you may be storing the contents of your files in the > distributed cache. > > On Wed, Jun 17, 2009 at 6:56 AM, akhil1988 wrote: > >> >> Thanks Jason. >> >> I went inside the code of the statement and found out that it eventually >> makes some binaryRead function call to read a binary file and there it >> strucks. >> >> Do you know whether there is any problem in giving a binary file for >> addition to the distributed cache. >> In the statement DistributedCache.addCacheFile(new >> URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); Data is a directory >> which contains some text as well as some binary files. In the statement >> Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); I >> can >> see(in the output messages) that it is able to read the text files but it >> gets struck at the binary files. >> >> So, I think here the problem is: it is not able to read the binary files >> which either have not been transferred to the cache or a binary file >> cannot >> be read. >> >> Do you know the solution to this? >> >> Thanks, >> Akhil >> >> >> jason hadoop wrote: >> > >> > Something is happening inside of your (Parameters. >> > readConfigAndLoadExternalData("Config/allLayer1.config");) >> > code, and the framework is killing the job for not heartbeating for 600 >> > seconds >> > >> > On Tue, Jun 16, 2009 at 8:32 PM, akhil1988 >> wrote: >> > >> >> >> >> One more thing, finally it terminates there (after some time) by >> giving >> >> the >> >> final Exception: >> >> >> >> java.io.IOException: Job failed! >> >>at >> org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1217) >> >> at LbjTagger.NerTagger.main(NerTagger.java:109) >> >>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:597) >> >>at org.apache.hadoop.util.RunJar.main(RunJar.java:165) >> >>at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) >> >>at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) >> >>at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) >> >>at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) >> >> >> >> >> >> akhil1988 wrote: >> >> > >> >> > Thank you Jason for your reply. >> >> > >> >> > My Map class is an inner class and it is a static class. Here is the >> >> > structure of my code. >> >> > >> >> > public class NerTagger { >> >> > >> >> > public static class Map extends MapReduceBase implements >> >> > Mapper{ >> >> > private Text word = new Text(); >> >> > private static NETaggerLevel1 tagger1 = new >> >> > NETaggerLevel1(); >> >> > private static NETaggerLevel2 tagger2 = new >> >> > NETaggerLevel2(); >> >> > >> >> > Map(){ >> >> > System.out.println("HI2\n"); >> >> > >> >> > Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); >> >> > System.out.println("HI3\n"); >> >> > >> >> > >> Parameters.forceNewSentenceOn
Re: Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
I have only ever used the distributed cache to add files, including binary files such as shared libraries. It looks like you are adding a directory. The DistributedCache is not generally used for passing data, but for passing file names. The files must be stored in a shared file system (hdfs for simplicity) already. The distributed cache makes the names available to the tasks, and the the files are extracted from hdfs and stored in the task local work area on each task tracker node. It looks like you may be storing the contents of your files in the distributed cache. On Wed, Jun 17, 2009 at 6:56 AM, akhil1988 wrote: > > Thanks Jason. > > I went inside the code of the statement and found out that it eventually > makes some binaryRead function call to read a binary file and there it > strucks. > > Do you know whether there is any problem in giving a binary file for > addition to the distributed cache. > In the statement DistributedCache.addCacheFile(new > URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); Data is a directory > which contains some text as well as some binary files. In the statement > Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); I can > see(in the output messages) that it is able to read the text files but it > gets struck at the binary files. > > So, I think here the problem is: it is not able to read the binary files > which either have not been transferred to the cache or a binary file cannot > be read. > > Do you know the solution to this? > > Thanks, > Akhil > > > jason hadoop wrote: > > > > Something is happening inside of your (Parameters. > > readConfigAndLoadExternalData("Config/allLayer1.config");) > > code, and the framework is killing the job for not heartbeating for 600 > > seconds > > > > On Tue, Jun 16, 2009 at 8:32 PM, akhil1988 wrote: > > > >> > >> One more thing, finally it terminates there (after some time) by giving > >> the > >> final Exception: > >> > >> java.io.IOException: Job failed! > >>at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1217) > >> at LbjTagger.NerTagger.main(NerTagger.java:109) > >>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:597) > >>at org.apache.hadoop.util.RunJar.main(RunJar.java:165) > >>at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) > >>at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) > >>at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) > >>at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) > >> > >> > >> akhil1988 wrote: > >> > > >> > Thank you Jason for your reply. > >> > > >> > My Map class is an inner class and it is a static class. Here is the > >> > structure of my code. > >> > > >> > public class NerTagger { > >> > > >> > public static class Map extends MapReduceBase implements > >> > Mapper{ > >> > private Text word = new Text(); > >> > private static NETaggerLevel1 tagger1 = new > >> > NETaggerLevel1(); > >> > private static NETaggerLevel2 tagger2 = new > >> > NETaggerLevel2(); > >> > > >> > Map(){ > >> > System.out.println("HI2\n"); > >> > > >> > Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); > >> > System.out.println("HI3\n"); > >> > > >> > Parameters.forceNewSentenceOnLineBreaks=Boolean.parseBoolean("true"); > >> > > >> > System.out.println("loading the tagger"); > >> > > >> > > >> > tagger1=(NETaggerLevel1)Classifier.binaryRead(Parameters.pathToModelFile+".level1"); > >> > System.out.println("HI5\n"); > >> > > >> > > >> > tagger2=(NETaggerLevel2)Classifier.binaryRead(Parameters.pathToModelFile+".level2"); > >> > System.out.println("Done- loading the > tagger"); > >> > } > >> > > >> > public void map(LongWritable key, Text value, > >> > OutputCollector output, Reporter reporter ) throws > >> IOException > >> > { > >> > String inputline = value.toString(); > >> > > >> > /* Processing of the input pair is done here > */ > >> > } > >> > > >> > > >> > public static void main(String [] args) throws Exception { > >> > JobConf conf = new JobConf(NerTagger.class); > >> > conf.setJobName("NerTagger"); > >> > > >> > conf.setOutputKeyClass(Text.class); > >> > conf.setOutputValueClass(IntWritable.class); > >> > > >> > conf.setMapperClass(Map.class); > >> > conf.setNumReduceTasks(0); > >> > > >> >
Re: Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
Thanks Jason. I went inside the code of the statement and found out that it eventually makes some binaryRead function call to read a binary file and there it strucks. Do you know whether there is any problem in giving a binary file for addition to the distributed cache. In the statement DistributedCache.addCacheFile(new URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); Data is a directory which contains some text as well as some binary files. In the statement Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); I can see(in the output messages) that it is able to read the text files but it gets struck at the binary files. So, I think here the problem is: it is not able to read the binary files which either have not been transferred to the cache or a binary file cannot be read. Do you know the solution to this? Thanks, Akhil jason hadoop wrote: > > Something is happening inside of your (Parameters. > readConfigAndLoadExternalData("Config/allLayer1.config");) > code, and the framework is killing the job for not heartbeating for 600 > seconds > > On Tue, Jun 16, 2009 at 8:32 PM, akhil1988 wrote: > >> >> One more thing, finally it terminates there (after some time) by giving >> the >> final Exception: >> >> java.io.IOException: Job failed! >>at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1217) >> at LbjTagger.NerTagger.main(NerTagger.java:109) >>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:597) >>at org.apache.hadoop.util.RunJar.main(RunJar.java:165) >>at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) >>at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) >>at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) >>at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) >> >> >> akhil1988 wrote: >> > >> > Thank you Jason for your reply. >> > >> > My Map class is an inner class and it is a static class. Here is the >> > structure of my code. >> > >> > public class NerTagger { >> > >> > public static class Map extends MapReduceBase implements >> > Mapper{ >> > private Text word = new Text(); >> > private static NETaggerLevel1 tagger1 = new >> > NETaggerLevel1(); >> > private static NETaggerLevel2 tagger2 = new >> > NETaggerLevel2(); >> > >> > Map(){ >> > System.out.println("HI2\n"); >> > >> > Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); >> > System.out.println("HI3\n"); >> > >> > Parameters.forceNewSentenceOnLineBreaks=Boolean.parseBoolean("true"); >> > >> > System.out.println("loading the tagger"); >> > >> > >> tagger1=(NETaggerLevel1)Classifier.binaryRead(Parameters.pathToModelFile+".level1"); >> > System.out.println("HI5\n"); >> > >> > >> tagger2=(NETaggerLevel2)Classifier.binaryRead(Parameters.pathToModelFile+".level2"); >> > System.out.println("Done- loading the tagger"); >> > } >> > >> > public void map(LongWritable key, Text value, >> > OutputCollector output, Reporter reporter ) throws >> IOException >> > { >> > String inputline = value.toString(); >> > >> > /* Processing of the input pair is done here */ >> > } >> > >> > >> > public static void main(String [] args) throws Exception { >> > JobConf conf = new JobConf(NerTagger.class); >> > conf.setJobName("NerTagger"); >> > >> > conf.setOutputKeyClass(Text.class); >> > conf.setOutputValueClass(IntWritable.class); >> > >> > conf.setMapperClass(Map.class); >> > conf.setNumReduceTasks(0); >> > >> > conf.setInputFormat(TextInputFormat.class); >> > conf.setOutputFormat(TextOutputFormat.class); >> > >> > conf.set("mapred.job.tracker", "local"); >> > conf.set("fs.default.name", "file:///"); >> > >> > DistributedCache.addCacheFile(new >> > URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); >> > DistributedCache.addCacheFile(new >> > URI("/home/akhil1988/Ner/OriginalNer/Config/"), conf); >> > DistributedCache.createSymlink(conf); >> > >> > >> > conf.set("mapred.child.java.opts","-Xmx4096m"); >> > >> > FileInputFormat.setInputPaths(conf, new Path(args[0])); >> > FileOutputFormat.setOutputPath(conf, new >> Path(args[1])); >> > >> > System.out.println("HI1\n"); >> > >> > J
Re: Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
Something is happening inside of your (Parameters. readConfigAndLoadExternalData("Config/allLayer1.config");) code, and the framework is killing the job for not heartbeating for 600 seconds On Tue, Jun 16, 2009 at 8:32 PM, akhil1988 wrote: > > One more thing, finally it terminates there (after some time) by giving the > final Exception: > > java.io.IOException: Job failed! >at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1217) > at LbjTagger.NerTagger.main(NerTagger.java:109) >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:597) >at org.apache.hadoop.util.RunJar.main(RunJar.java:165) >at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) >at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) >at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) >at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) > > > akhil1988 wrote: > > > > Thank you Jason for your reply. > > > > My Map class is an inner class and it is a static class. Here is the > > structure of my code. > > > > public class NerTagger { > > > > public static class Map extends MapReduceBase implements > > Mapper{ > > private Text word = new Text(); > > private static NETaggerLevel1 tagger1 = new > > NETaggerLevel1(); > > private static NETaggerLevel2 tagger2 = new > > NETaggerLevel2(); > > > > Map(){ > > System.out.println("HI2\n"); > > > > Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); > > System.out.println("HI3\n"); > > > > Parameters.forceNewSentenceOnLineBreaks=Boolean.parseBoolean("true"); > > > > System.out.println("loading the tagger"); > > > > > tagger1=(NETaggerLevel1)Classifier.binaryRead(Parameters.pathToModelFile+".level1"); > > System.out.println("HI5\n"); > > > > > tagger2=(NETaggerLevel2)Classifier.binaryRead(Parameters.pathToModelFile+".level2"); > > System.out.println("Done- loading the tagger"); > > } > > > > public void map(LongWritable key, Text value, > > OutputCollector output, Reporter reporter ) throws > IOException > > { > > String inputline = value.toString(); > > > > /* Processing of the input pair is done here */ > > } > > > > > > public static void main(String [] args) throws Exception { > > JobConf conf = new JobConf(NerTagger.class); > > conf.setJobName("NerTagger"); > > > > conf.setOutputKeyClass(Text.class); > > conf.setOutputValueClass(IntWritable.class); > > > > conf.setMapperClass(Map.class); > > conf.setNumReduceTasks(0); > > > > conf.setInputFormat(TextInputFormat.class); > > conf.setOutputFormat(TextOutputFormat.class); > > > > conf.set("mapred.job.tracker", "local"); > > conf.set("fs.default.name", "file:///"); > > > > DistributedCache.addCacheFile(new > > URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); > > DistributedCache.addCacheFile(new > > URI("/home/akhil1988/Ner/OriginalNer/Config/"), conf); > > DistributedCache.createSymlink(conf); > > > > > > conf.set("mapred.child.java.opts","-Xmx4096m"); > > > > FileInputFormat.setInputPaths(conf, new Path(args[0])); > > FileOutputFormat.setOutputPath(conf, new Path(args[1])); > > > > System.out.println("HI1\n"); > > > > JobClient.runJob(conf); > > } > > > > Jason, when the program executes HI1 and HI2 are printed but it does not > > reaches HI3. In the statement > > Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); it > is > > able to access Config/allLayer1.config file (as while executing this > > statement, it prints some messages like which data it is loading, etc.) > > but it gets stuck there(while loading some classifier) and never reaches > > HI3. > > > > This program runs fine when executed normally(without mapreduce). > > > > Thanks, Akhil > > > > > > > > > > jason hadoop wrote: > >> > >> Is it possible that your map class is an inner class and not static? > >> > >> On Tue, Jun 16, 2009 at 10:51 AM, akhil1988 > wrote: > >> > >>> > >>> Hi All, > >>> > >>> I am running my mapred program in local mode by setting > >>> mapred.jobtracker.local to local mode so that I can debug my code. > >>> The mapred program is a direct porting of my original sequential code. > >>> There > >>>
Re: Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
One more thing, finally it terminates there (after some time) by giving the final Exception: java.io.IOException: Job failed! at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1217) at LbjTagger.NerTagger.main(NerTagger.java:109) 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:597) at org.apache.hadoop.util.RunJar.main(RunJar.java:165) at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) akhil1988 wrote: > > Thank you Jason for your reply. > > My Map class is an inner class and it is a static class. Here is the > structure of my code. > > public class NerTagger { > > public static class Map extends MapReduceBase implements > Mapper{ > private Text word = new Text(); > private static NETaggerLevel1 tagger1 = new > NETaggerLevel1(); > private static NETaggerLevel2 tagger2 = new > NETaggerLevel2(); > > Map(){ > System.out.println("HI2\n"); > > Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); > System.out.println("HI3\n"); > > Parameters.forceNewSentenceOnLineBreaks=Boolean.parseBoolean("true"); > > System.out.println("loading the tagger"); > > tagger1=(NETaggerLevel1)Classifier.binaryRead(Parameters.pathToModelFile+".level1"); > System.out.println("HI5\n"); > > tagger2=(NETaggerLevel2)Classifier.binaryRead(Parameters.pathToModelFile+".level2"); > System.out.println("Done- loading the tagger"); > } > > public void map(LongWritable key, Text value, > OutputCollector output, Reporter reporter ) throws IOException > { > String inputline = value.toString(); > > /* Processing of the input pair is done here */ > } > > > public static void main(String [] args) throws Exception { > JobConf conf = new JobConf(NerTagger.class); > conf.setJobName("NerTagger"); > > conf.setOutputKeyClass(Text.class); > conf.setOutputValueClass(IntWritable.class); > > conf.setMapperClass(Map.class); > conf.setNumReduceTasks(0); > > conf.setInputFormat(TextInputFormat.class); > conf.setOutputFormat(TextOutputFormat.class); > > conf.set("mapred.job.tracker", "local"); > conf.set("fs.default.name", "file:///"); > > DistributedCache.addCacheFile(new > URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); > DistributedCache.addCacheFile(new > URI("/home/akhil1988/Ner/OriginalNer/Config/"), conf); > DistributedCache.createSymlink(conf); > > > conf.set("mapred.child.java.opts","-Xmx4096m"); > > FileInputFormat.setInputPaths(conf, new Path(args[0])); > FileOutputFormat.setOutputPath(conf, new Path(args[1])); > > System.out.println("HI1\n"); > > JobClient.runJob(conf); > } > > Jason, when the program executes HI1 and HI2 are printed but it does not > reaches HI3. In the statement > Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); it is > able to access Config/allLayer1.config file (as while executing this > statement, it prints some messages like which data it is loading, etc.) > but it gets stuck there(while loading some classifier) and never reaches > HI3. > > This program runs fine when executed normally(without mapreduce). > > Thanks, Akhil > > > > > jason hadoop wrote: >> >> Is it possible that your map class is an inner class and not static? >> >> On Tue, Jun 16, 2009 at 10:51 AM, akhil1988 wrote: >> >>> >>> Hi All, >>> >>> I am running my mapred program in local mode by setting >>> mapred.jobtracker.local to local mode so that I can debug my code. >>> The mapred program is a direct porting of my original sequential code. >>> There >>> is no reduce phase. >>> Basically, I have just put my program in the map class. >>> >>> My program takes around 1-2 min. in instantiating the data objects which >>> are >>> present in the constructor of Map class(it loads some data model files, >>> therefore it takes some time). After the instantiation part in the >>> constrcutor of Map class the
Re: Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
Thank you Jason for your reply. My Map class is an inner class and it is a static class. Here is the structure of my code. public class NerTagger { public static class Map extends MapReduceBase implements Mapper{ private Text word = new Text(); private static NETaggerLevel1 tagger1 = new NETaggerLevel1(); private static NETaggerLevel2 tagger2 = new NETaggerLevel2(); Map(){ System.out.println("HI2\n"); Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); System.out.println("HI3\n"); Parameters.forceNewSentenceOnLineBreaks=Boolean.parseBoolean("true"); System.out.println("loading the tagger"); tagger1=(NETaggerLevel1)Classifier.binaryRead(Parameters.pathToModelFile+".level1"); System.out.println("HI5\n"); tagger2=(NETaggerLevel2)Classifier.binaryRead(Parameters.pathToModelFile+".level2"); System.out.println("Done- loading the tagger"); } public void map(LongWritable key, Text value, OutputCollector output, Reporter reporter ) throws IOException { String inputline = value.toString(); /* Processing of the input pair is done here */ } public static void main(String [] args) throws Exception { JobConf conf = new JobConf(NerTagger.class); conf.setJobName("NerTagger"); conf.setOutputKeyClass(Text.class); conf.setOutputValueClass(IntWritable.class); conf.setMapperClass(Map.class); conf.setNumReduceTasks(0); conf.setInputFormat(TextInputFormat.class); conf.setOutputFormat(TextOutputFormat.class); conf.set("mapred.job.tracker", "local"); conf.set("fs.default.name", "file:///"); DistributedCache.addCacheFile(new URI("/home/akhil1988/Ner/OriginalNer/Data/"), conf); DistributedCache.addCacheFile(new URI("/home/akhil1988/Ner/OriginalNer/Config/"), conf); DistributedCache.createSymlink(conf); conf.set("mapred.child.java.opts","-Xmx4096m"); FileInputFormat.setInputPaths(conf, new Path(args[0])); FileOutputFormat.setOutputPath(conf, new Path(args[1])); System.out.println("HI1\n"); JobClient.runJob(conf); } Jason, when the program executes HI1 and HI2 are printed but it does not reaches HI3. In the statement Parameters.readConfigAndLoadExternalData("Config/allLayer1.config"); it is able to access Config/allLayer1.config file (as while executing this statement, it prints some messages like which data it is loading, etc.) but it gets stuck there(while loading some classifier) and never reaches HI3. This program runs fine when executed normally(without mapreduce). Thanks, Akhil jason hadoop wrote: > > Is it possible that your map class is an inner class and not static? > > On Tue, Jun 16, 2009 at 10:51 AM, akhil1988 wrote: > >> >> Hi All, >> >> I am running my mapred program in local mode by setting >> mapred.jobtracker.local to local mode so that I can debug my code. >> The mapred program is a direct porting of my original sequential code. >> There >> is no reduce phase. >> Basically, I have just put my program in the map class. >> >> My program takes around 1-2 min. in instantiating the data objects which >> are >> present in the constructor of Map class(it loads some data model files, >> therefore it takes some time). After the instantiation part in the >> constrcutor of Map class the map function is supposed to process the >> input >> split. >> >> The problem is that the data objects do not get instantiated completely >> and >> in between(whlie it is still in constructor) the program stops giving the >> exceptions pasted at bottom. >> The program runs fine without mapreduce and does not require more than >> 2GB >> memory, but in mapreduce even after doing export HADOOP_HEAPSIZE=2500(I >> am >> working on machines with 16GB RAM), the program fails. I have also set >> HADOOP_OPTS="-server -XX:-UseGCOverheadLimit" as sometimes I was getting >> GC >> Overhead Limit Exceeded exceptions also. >> >> Somebody, please help me with this problem: I have trying to debug it for >> the last 3 days, but unsuccessful. Thanks! >> >> java.lang.OutOfMemoryError: Java heap space >>at >> sun.misc.FloatingDecimal.toJavaFormatString(FloatingDecimal.java:889) >>at java.lang.Double.toString(Double.java:179) >>at java.text.DigitList.set(DigitList.java:272) >>at java.text.DecimalFormat.format(DecimalFormat.java:584) >>at java.text.DecimalFormat.format(DecimalFormat.java:507) >>
Re: Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
Is it possible that your map class is an inner class and not static? On Tue, Jun 16, 2009 at 10:51 AM, akhil1988 wrote: > > Hi All, > > I am running my mapred program in local mode by setting > mapred.jobtracker.local to local mode so that I can debug my code. > The mapred program is a direct porting of my original sequential code. > There > is no reduce phase. > Basically, I have just put my program in the map class. > > My program takes around 1-2 min. in instantiating the data objects which > are > present in the constructor of Map class(it loads some data model files, > therefore it takes some time). After the instantiation part in the > constrcutor of Map class the map function is supposed to process the input > split. > > The problem is that the data objects do not get instantiated completely and > in between(whlie it is still in constructor) the program stops giving the > exceptions pasted at bottom. > The program runs fine without mapreduce and does not require more than 2GB > memory, but in mapreduce even after doing export HADOOP_HEAPSIZE=2500(I am > working on machines with 16GB RAM), the program fails. I have also set > HADOOP_OPTS="-server -XX:-UseGCOverheadLimit" as sometimes I was getting GC > Overhead Limit Exceeded exceptions also. > > Somebody, please help me with this problem: I have trying to debug it for > the last 3 days, but unsuccessful. Thanks! > > java.lang.OutOfMemoryError: Java heap space >at > sun.misc.FloatingDecimal.toJavaFormatString(FloatingDecimal.java:889) >at java.lang.Double.toString(Double.java:179) >at java.text.DigitList.set(DigitList.java:272) >at java.text.DecimalFormat.format(DecimalFormat.java:584) >at java.text.DecimalFormat.format(DecimalFormat.java:507) >at java.text.NumberFormat.format(NumberFormat.java:269) >at > org.apache.hadoop.util.StringUtils.formatPercent(StringUtils.java:110) >at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1147) >at LbjTagger.NerTagger.main(NerTagger.java:109) >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:597) >at org.apache.hadoop.util.RunJar.main(RunJar.java:165) >at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) >at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) >at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) >at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) > > 09/06/16 12:34:41 WARN mapred.LocalJobRunner: job_local_0001 > java.lang.RuntimeException: java.lang.reflect.InvocationTargetException >at > org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:81) >at org.apache.hadoop.mapred.MapRunner.configure(MapRunner.java:34) >at > org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:58) >at > org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:83) >at org.apache.hadoop.mapred.MapTask.run(MapTask.java:328) >at > org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:138) > Caused by: java.lang.reflect.InvocationTargetException >at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native > Method) >at > > sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:39) >at > > sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27) >at java.lang.reflect.Constructor.newInstance(Constructor.java:513) >at > org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:79) >... 5 more > Caused by: java.lang.ThreadDeath >at java.lang.Thread.stop(Thread.java:715) >at > org.apache.hadoop.mapred.LocalJobRunner.killJob(LocalJobRunner.java:310) >at > org.apache.hadoop.mapred.JobClient$NetworkedJob.killJob(JobClient.java:315) >at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1224) >at LbjTagger.NerTagger.main(NerTagger.java:109) >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:597) >at org.apache.hadoop.util.RunJar.main(RunJar.java:165) >at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) >at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) >at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) >at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) > > -- > View this mes
Nor "OOM Java Heap Space" neither "GC OverHead Limit Exeeceded"
Hi All, I am running my mapred program in local mode by setting mapred.jobtracker.local to local mode so that I can debug my code. The mapred program is a direct porting of my original sequential code. There is no reduce phase. Basically, I have just put my program in the map class. My program takes around 1-2 min. in instantiating the data objects which are present in the constructor of Map class(it loads some data model files, therefore it takes some time). After the instantiation part in the constrcutor of Map class the map function is supposed to process the input split. The problem is that the data objects do not get instantiated completely and in between(whlie it is still in constructor) the program stops giving the exceptions pasted at bottom. The program runs fine without mapreduce and does not require more than 2GB memory, but in mapreduce even after doing export HADOOP_HEAPSIZE=2500(I am working on machines with 16GB RAM), the program fails. I have also set HADOOP_OPTS="-server -XX:-UseGCOverheadLimit" as sometimes I was getting GC Overhead Limit Exceeded exceptions also. Somebody, please help me with this problem: I have trying to debug it for the last 3 days, but unsuccessful. Thanks! java.lang.OutOfMemoryError: Java heap space at sun.misc.FloatingDecimal.toJavaFormatString(FloatingDecimal.java:889) at java.lang.Double.toString(Double.java:179) at java.text.DigitList.set(DigitList.java:272) at java.text.DecimalFormat.format(DecimalFormat.java:584) at java.text.DecimalFormat.format(DecimalFormat.java:507) at java.text.NumberFormat.format(NumberFormat.java:269) at org.apache.hadoop.util.StringUtils.formatPercent(StringUtils.java:110) at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1147) at LbjTagger.NerTagger.main(NerTagger.java:109) 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:597) at org.apache.hadoop.util.RunJar.main(RunJar.java:165) at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) 09/06/16 12:34:41 WARN mapred.LocalJobRunner: job_local_0001 java.lang.RuntimeException: java.lang.reflect.InvocationTargetException at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:81) at org.apache.hadoop.mapred.MapRunner.configure(MapRunner.java:34) at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:58) at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:83) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:328) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:138) Caused by: java.lang.reflect.InvocationTargetException at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:39) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27) at java.lang.reflect.Constructor.newInstance(Constructor.java:513) at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:79) ... 5 more Caused by: java.lang.ThreadDeath at java.lang.Thread.stop(Thread.java:715) at org.apache.hadoop.mapred.LocalJobRunner.killJob(LocalJobRunner.java:310) at org.apache.hadoop.mapred.JobClient$NetworkedJob.killJob(JobClient.java:315) at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1224) at LbjTagger.NerTagger.main(NerTagger.java:109) 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:597) at org.apache.hadoop.util.RunJar.main(RunJar.java:165) at org.apache.hadoop.mapred.JobShell.run(JobShell.java:54) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79) at org.apache.hadoop.mapred.JobShell.main(JobShell.java:68) -- View this message in context: http://www.nabble.com/Nor-%22OOM-Java-Heap-Space%22-neither-%22GC-OverHead-Limit-Exeeceded%22-tp24059508p24059508.html Sent from the Hadoop core-user mailing list archive at Nabble.com.