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*
*
