That looks weird. Can you try it using Avros in place of Writables and see if it does the same thing?
On Tue, Jul 7, 2015, 3:43 AM Florin Tatu <[email protected]> wrote: > Hi, > > I am having a job that processes a set of files containing climatic > data(more exactly data from this location: > ftp://ftp.ncdc.noaa.gov/pub/data/noaa/) > > I downloaded and merged the data using a script so I will have one folder > (ncdc_data) having a .gz archive for each year(eg: 1901.gz, 1902.gz etc) > Each archive contains only one text file. > > My code is: > > import com.google.common.base.Charsets; > import com.google.common.io.Files; > import org.apache.crunch.*; > import org.apache.crunch.fn.Aggregators; > import org.apache.crunch.impl.mr.MRPipeline; > import org.apache.crunch.io.To; > import java.io.File; > import static org.apache.crunch.types.writable.Writables.ints; > import static org.apache.crunch.types.writable.Writables.strings; > import static org.apache.crunch.types.writable.Writables.tableOf; > > public class MaxTemperatureCrunch { > > public static void main(String[] args) throws Exception { > if (args.length != 2) { > System.err.println("Usage: MaxTemperatureCrunch <input path> > <output path>"); > System.exit(-1); > } > > Pipeline pipeline = new MRPipeline(MaxTemperatureCrunch.class); > > PCollection<String> records = pipeline.readTextFile(args[0]); > > PTable<String, Integer> yearTemperatures = records > .parallelDo(toYearTempPairsFn(), tableOf(strings(), > ints())); > > PTable<String, Integer> maxTemps = yearTemperatures > .groupByKey() > .combineValues(Aggregators.MAX_INTS()) > .top(1); //LINE THAT CAUSES THE ERROR > > maxTemps.write(To.textFile(args[1])); > > PipelineResult result = pipeline.done(); > String dot = > pipeline.getConfiguration().get("crunch.planner.dotfile"); > Files.write(dot, new File("pipeline.dot"), Charsets.UTF_8); > Runtime.getRuntime().exec("dot -Tpng -O pipeline.dot"); > System.exit(result.succeeded() ? 0 : 1); > } > > static DoFn<String, Pair<String, Integer>> toYearTempPairsFn() { > return new DoFn<String, Pair<String, Integer>>() { > NcdcRecordParser parser = new NcdcRecordParser(); > @Override > public void process(String input, Emitter<Pair<String, > Integer>> emitter) { > parser.parse(input); > if (parser.isValidTemperature()) { > emitter.emit(Pair.of(parser.getYear(), > parser.getAirTemperature())); > } > } > }; > } > } > > > Hadoop runs locally in standalone mode. > Hadoop version is: 2.7.0 > Crunch version is: 0.12.0 (maven dependency: 0.12.0-hadoop2) > > I build my application with: mvn package > I run it with: hadoop jar target/crunch-demo-1.0-SNAPSHOT-job.jar > ncdc_data/ output > > If I do not call .top(1) (see comment: //LINE THAT CAUSES THE ERROR) > everything works fine, but I obtain the maximum temperatures for each year > only and I want to obtain the overall maximum temperature or the top N > temperatures for the whole data set. > > If I call .top(1) I obtain the following error: > > java.lang.Exception: org.apache.crunch.CrunchRuntimeException: Error > reloading writable comparable codes > at > org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:462) > at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:522) > Caused by: org.apache.crunch.CrunchRuntimeException: Error reloading > writable comparable codes > at > org.apache.crunch.types.writable.TupleWritable.setConf(TupleWritable.java:71) > at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:76) > at > org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:136) > at > org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:66) > at > org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:42) > at > org.apache.hadoop.io.SequenceFile$Reader.deserializeValue(SequenceFile.java:2247) > at > org.apache.hadoop.io.SequenceFile$Reader.getCurrentValue(SequenceFile.java:2220) > at > org.apache.hadoop.mapreduce.lib.input.SequenceFileRecordReader.nextKeyValue(SequenceFileRecordReader.java:78) > at > org.apache.crunch.impl.mr.run.CrunchRecordReader.nextKeyValue(CrunchRecordReader.java:157) > at > org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.nextKeyValue(MapTask.java:556) > at > org.apache.hadoop.mapreduce.task.MapContextImpl.nextKeyValue(MapContextImpl.java:80) > at > org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.nextKeyValue(WrappedMapper.java:91) > at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145) > at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787) > at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) > at > org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243) > 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.ClassNotFoundException: > org.apache.crunch.types.writable.TupleWritable > at java.net.URLClassLoader$1.run(URLClassLoader.java:366) > at java.net.URLClassLoader$1.run(URLClassLoader.java:355) > at java.security.AccessController.doPrivileged(Native Method) > at java.net.URLClassLoader.findClass(URLClassLoader.java:354) > at java.lang.ClassLoader.loadClass(ClassLoader.java:425) > at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) > at java.lang.ClassLoader.loadClass(ClassLoader.java:358) > at java.lang.Class.forName0(Native Method) > at java.lang.Class.forName(Class.java:274) > at java.io.ObjectInputStream.resolveClass(ObjectInputStream.java:625) > at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1612) > at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517) > at java.io.ObjectInputStream.readClass(ObjectInputStream.java:1483) > at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1333) > at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) > at > com.google.common.collect.Serialization.populateMap(Serialization.java:91) > at com.google.common.collect.HashBiMap.readObject(HashBiMap.java:109) > 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 java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017) > at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893) > at > java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) > at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) > at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) > at > org.apache.crunch.types.writable.Writables.reloadWritableComparableCodes(Writables.java:145) > at > org.apache.crunch.types.writable.TupleWritable.setConf(TupleWritable.java:69) > ... 20 more > > > Did anyone encountered this issue? > If you need any other details please ask me. > > Thank you, > Florin >
