Hi Manish. Looking a bit more at this, I think the issue is because you "floats" are written in you table as strings and not as floats....
Can you try something link: context.write(stock_symbol,new FloatWritable( Float.parseFloat(Bytes.toString(val))))); Also, as asked previously, " can you please paste you code on pastbin? Same for the exception."? Thanks, JM 2013/8/17 manish dunani <[email protected]> > Hey jean, > I did it according to you. > I convert as u told..But still face the same error. > > And ted I am new to this don't get an idea how can i use this method..Can > You please show me..? > > Your Help will be appreciated.. > > > > On Fri, Aug 16, 2013 at 10:04 PM, Ted Yu <[email protected]> wrote: > > > Here is javadoc for toFloat(): > > > > * Presumes float encoded as IEEE 754 floating-point "single format" > > > > * @param bytes byte array > > > > * @return Float made from passed byte array. > > > > */ > > > > public static float toFloat(byte [] bytes) { > > > > So for values of '2.5', toFloat() is not the proper method. > > > > You can float conversion provided by Java. > > > > > > Cheers > > > > > > On Fri, Aug 16, 2013 at 6:57 AM, Ted Yu <[email protected]> wrote: > > > > > Here is code from Bytes: > > > > > > public static float toFloat(byte [] bytes, int offset) { > > > > > > return Float.intBitsToFloat(toInt(bytes, offset, SIZEOF_INT)); > > > > > > Looking at your sample data: > > > > > > 2010-02-04 column=stocks:open, timestamp=1376567559424, > > > value=*2.5* > > > > > > The length of value didn't match SIZEOF_INT. > > > > > > It seems you need to validate the values first. > > > > > > > > > Cheers > > > > > > > > > On Fri, Aug 16, 2013 at 3:42 AM, manish dunani <[email protected] > > >wrote: > > > > > >> hello, > > >> > > >> I am using apache hadoop 1.1.2 and hbase 0.94.9 on pseudo distibuted > > mode. > > >> > > >> I am trying to find Average open stocks values. > > >> > > >> *sample dataset in hbase::**(table name:nyse4)* > > >> > > >> > > >> 2010-02-04 column=stocks:open, timestamp=1376567559424, > > >> value=2.5 > > >> 2010-02-04 column=stocks:symbol, timestamp=1376567559424, > > >> value=QXM > > >> 2010-02-05 column=stocks:open, timestamp=1376567559429, > > >> value=2.42 > > >> 2010-02-05 column=stocks:symbol, timestamp=1376567559429, > > >> value=QXM > > >> 2010-02-08 column=stocks:open, timestamp=1376567559431, > > >> value=2.33 > > >> 2010-02-08 column=stocks:symbol, timestamp=1376567559431, > > >> value=QXM > > >> > > >> *code:*(please ignores the lines that are commenting) > > >> > > >> > > >> > package com.maddy; > > >> > > > >> > import java.io.IOException; > > >> > > > >> > import org.apache.hadoop.conf.Configuration; > > >> > import org.apache.hadoop.fs.Path; > > >> > import org.apache.hadoop.hbase.HBaseConfiguration; > > >> > import org.apache.hadoop.hbase.client.Put; > > >> > import org.apache.hadoop.hbase.client.Result; > > >> > import org.apache.hadoop.hbase.client.Scan; > > >> > import org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter; > > >> > import org.apache.hadoop.hbase.io.ImmutableBytesWritable; > > >> > import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; > > >> > import org.apache.hadoop.hbase.mapreduce.TableMapper; > > >> > import org.apache.hadoop.hbase.mapreduce.TableReducer; > > >> > import org.apache.hadoop.hbase.util.Bytes; > > >> > //import org.apache.hadoop.io.DoubleWritable; > > >> > import org.apache.hadoop.io.FloatWritable; > > >> > import org.apache.hadoop.mapreduce.Job; > > >> > import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; > > >> > > > >> > > > >> > public class openaveragestock > > >> > { > > >> > public static class map extends > > >> > TableMapper<ImmutableBytesWritable,FloatWritable> > > >> > { > > >> > @Override > > >> > > > >> > public void map(ImmutableBytesWritable row,Result > > value,Context > > >> > context) throws IOException > > >> > { > > >> > > > >> > byte[] > > >> > val=(value.getValue("stocks".getBytes(),"open".getBytes())); > > >> > //byte[] > > >> > val1=(value.getValue("stocks".getBytes(),"symbol".getBytes())); > > >> > > > >> > > > >> > ImmutableBytesWritable stock_symbol=new > > >> > ImmutableBytesWritable("symbol".getBytes()); > > >> > > > >> > > > >> > try > > >> > { > > >> > context.write(stock_symbol,new > > >> > FloatWritable(Bytes.toFloat(val))); > > >> > } > > >> > catch(InterruptedException e) > > >> > > > >> > { > > >> > throw new IOException(e); > > >> > } > > >> > > > >> > > > >> > } > > >> > > > >> > > > >> > } > > >> > > > >> > > > >> > public static class reduce extends > > >> > > > >> > > TableReducer<ImmutableBytesWritable,FloatWritable,ImmutableBytesWritable> > > >> > { > > >> > > > >> > @Override > > >> > public void reduce(ImmutableBytesWritable > > >> > key,Iterable<FloatWritable>values,Context context) throws > IOException, > > >> > InterruptedException > > >> > { > > >> > float sum=0; > > >> > int count=0; > > >> > // float average=0; > > >> > for(FloatWritable val:values) > > >> > { > > >> > sum+=val.get(); > > >> > count++; > > >> > } > > >> > //average=(sum/count); > > >> > Put put=new Put(key.get()); > > >> > > > >> > > > >> > > > put.add(Bytes.toBytes("stocks_output"),Bytes.toBytes("average"),Bytes.toBytes(sum/count)); > > >> > System.out.println("For\t"+count+"\t average > > >> is:"+(sum/count)); > > >> > context.write(key,put); > > >> > > > >> > } > > >> > > > >> > } > > >> > > > >> > public static void main(String args[]) throws IOException, > > >> > ClassNotFoundException, InterruptedException > > >> > { > > >> > Configuration config=HBaseConfiguration.create(); > > >> > config.addResource("/home/manish/workspace/hbase > > >> > project/bin/hbase-site.xml"); > > >> > Job job=new Job(config,"openstockaverage1"); > > >> > > > >> > > > >> > Scan scan=new Scan(); > > >> > scan.addFamily("stocks".getBytes()); > > >> > scan.setFilter(new FirstKeyOnlyFilter()); > > >> > > > >> > TableMapReduceUtil.initTableMapperJob("nyse4", > > >> > scan, > > >> > map.class, > > >> > ImmutableBytesWritable.class, > > >> > FloatWritable.class, > > >> > job); > > >> > > > >> > TableMapReduceUtil.initTableReducerJob("nyse5", > > >> > reduce.class, > > >> > job); > > >> > //job.setReducerClass(reduce.class); > > >> > > > >> > FileOutputFormat.setOutputPath(job, new Path( > > >> > > > >> "hdfs://localhost:54310/user/manish/edurekahbasehadoop1")); > > >> > job.waitForCompletion(true); > > >> > } > > >> > > > >> > } > > >> > > > >> > > > >> > > > >> > *===>Got stuck into error:* > > >> > > > >> > > > >> > 13/08/16 03:21:45 INFO mapred.JobClient: Running job: job_local_0001 > > >> > 13/08/16 03:21:46 INFO mapred.JobClient: map 0% reduce 0% > > >> > 13/08/16 03:21:46 INFO mapreduce.TableOutputFormat: Created table > > >> instance > > >> > for nyse5 > > >> > 13/08/16 03:21:46 INFO util.ProcessTree: setsid exited with exit > code > > 0 > > >> > 13/08/16 03:21:47 INFO mapred.Task: Using ResourceCalculatorPlugin > : > > >> > org.apache.hadoop.util.LinuxResourceCalculatorPlugin@50b77c > > >> > 13/08/16 03:21:47 INFO mapred.MapTask: io.sort.mb = 100 > > >> > 13/08/16 03:21:53 INFO mapred.MapTask: data buffer = > 79691776/99614720 > > >> > 13/08/16 03:21:53 INFO mapred.MapTask: record buffer = 262144/327680 > > >> > 13/08/16 03:21:54 WARN mapred.LocalJobRunner: job_local_0001 > > >> > java.lang.IllegalArgumentException: offset (0) + length (4) exceed > the > > >> > capacity of the array: 3 > > >> > at > > >> > > > >> > > > org.apache.hadoop.hbase.util.Bytes.explainWrongLengthOrOffset(Bytes.java:543) > > >> > at org.apache.hadoop.hbase.util.Bytes.toInt(Bytes.java:690) > > >> > at org.apache.hadoop.hbase.util.Bytes.toFloat(Bytes.java:584) > > >> > at org.apache.hadoop.hbase.util.Bytes.toFloat(Bytes.java:574) > > >> > at com.maddy.openaveragestock$map.map(openaveragestock.java:41) > > >> > at com.maddy.openaveragestock$map.map(openaveragestock.java:1) > > >> > at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144) > > >> > at > org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764) > > >> > at org.apache.hadoop.mapred.MapTask.run(MapTask.java:370) > > >> > at > > >> > > > org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:214) > > >> > > > >> > > > >> I cannot find where is it fail?? > > >> Can you please tell me?? > > >> where i was wrong..? > > >> > > >> > > >> Your help will be appreciated. > > >> > > >> > > >> > > >> > > >> > > >> > > >> > > >> > > >> > > >> > > >> -- > > >> Regards > > >> > > >> *Manish Dunani* > > >> *Contact No* : +91 9408329137 > > >> *skype id* : manish.dunani* > > >> * > > >> > > > > > > > > > > > > -- > Regards > > *Manish Dunani* > *Contact No* : +91 9408329137 > *skype id* : manish.dunani* > * >
