*Here is output table===>>> * > > hbase(main):004:0> scan 'nyse5' > ROW > COLUMN+CELL > symbol column=stocks_output:average, > timestamp=1376749641978, val > ue=@\xC6o\x11 >
*Sample output at my eclipse:::* 13/08/17 07:27:21 INFO mapred.Merger: Merging 1 sorted segments 13/08/17 07:27:21 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 42242 bytes 13/08/17 07:27:21 INFO mapred.LocalJobRunner: 13/08/17 07:27:21 INFO mapred.JobClient: map 100% reduce 0% * For 2640 average is:6.201058* On Sat, Aug 17, 2013 at 11:59 PM, Jean-Marc Spaggiari < [email protected]> wrote: > Are you outputting to a table? From your code, I don't see any output > configured. > > 2013/8/17 manish dunani <[email protected]> > > > Thanx a lot!! > > Jean. > > > > I am very thankful to you..And off course Ted also doing very good job. > > * > > > > Revised Code ::* > > > > 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> > > > { > > > private static String col_family="stocks"; > > > private static String qul="open"; > > > > > > private static String col_family1="stocks"; > > > private static String qul1="symbol"; > > > > > > private static byte[] colfamily2=Bytes.toBytes(col_family); > > > private static byte[] qul2=Bytes.toBytes(qul); > > > > > > private static byte[] colfamily3=Bytes.toBytes(col_family1); > > > private static byte[] qul3=Bytes.toBytes(qul1); > > > > > > // public static float toFloat(int qul2) > > > // { > > > // return Float.intBitsToFloat((qul2)); > > > // > > > // } > > > // > > > > > > > > > > > > public void map(ImmutableBytesWritable row,Result value,Context > > > context) throws IOException > > > { > > > > > > > > > //byte[] > > > val1=(value.getValue("stocks".getBytes(),"symbol".getBytes())); > > > byte[] val=value.getValue(colfamily2,qul2); > > > > > > > > > ImmutableBytesWritable stock_symbol=new > > > ImmutableBytesWritable(qul3); > > > > > > > > > > > > try > > > { > > > > > > context.write(stock_symbol,new > > > FloatWritable(Float.parseFloat(Bytes.toString(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(average)); > > > System.out.println("For\t"+count+"\t average is:"+average); > > > 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/final_hbase_hadoop")); > > > job.waitForCompletion(true); > > > } > > > > > > > > > > > > } > > > > > > > > *Sample output at my eclipse:::* > > > > 13/08/17 07:27:21 INFO mapred.Merger: Merging 1 sorted segments > > > 13/08/17 07:27:21 INFO mapred.Merger: Down to the last merge-pass, > with 1 > > > segments left of total size: 42242 bytes > > > 13/08/17 07:27:21 INFO mapred.LocalJobRunner: > > > 13/08/17 07:27:21 INFO mapred.JobClient: map 100% reduce 0% > > > *For 2640 average is:6.201058* > > > 13/08/17 07:27:21 INFO mapred.Task: Task:attempt_local_0001_r_000000_0 > is > > > done. And is in the process of commiting > > > 13/08/17 07:27:21 INFO mapred.LocalJobRunner: reduce > reduce > > > 13/08/17 07:27:21 INFO mapred.Task: Task > 'attempt_local_0001_r_000000_0' > > > done. > > > 13/08/17 07:27:22 WARN mapred.FileOutputCommitter: Output path is null > in > > > cleanup > > > 13/08/17 07:27:22 INFO mapred.JobClient: map 100% reduce 100% > > > 13/08/17 07:27:22 INFO mapred.JobClient: Job complete: job_local_0001 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Counters: 30 > > > 13/08/17 07:27:22 INFO mapred.JobClient: HBase Counters > > > 13/08/17 07:27:22 INFO mapred.JobClient: REMOTE_RPC_CALLS=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: RPC_CALLS=2643 > > > 13/08/17 07:27:22 INFO mapred.JobClient: RPC_RETRIES=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: > > NOT_SERVING_REGION_EXCEPTION=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: NUM_SCANNER_RESTARTS=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: MILLIS_BETWEEN_NEXTS=5849 > > > 13/08/17 07:27:22 INFO mapred.JobClient: BYTES_IN_RESULTS=126719 > > > 13/08/17 07:27:22 INFO mapred.JobClient: BYTES_IN_REMOTE_RESULTS=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: REGIONS_SCANNED=1 > > > 13/08/17 07:27:22 INFO mapred.JobClient: REMOTE_RPC_RETRIES=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: File Output Format Counters > > > 13/08/17 07:27:22 INFO mapred.JobClient: Bytes Written=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: FileSystemCounters > > > 13/08/17 07:27:22 INFO mapred.JobClient: FILE_BYTES_READ=24176810 > > > 13/08/17 07:27:22 INFO mapred.JobClient: > FILE_BYTES_WRITTEN=24552208 > > > 13/08/17 07:27:22 INFO mapred.JobClient: File Input Format Counters > > > 13/08/17 07:27:22 INFO mapred.JobClient: Bytes Read=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Map-Reduce Framework > > > 13/08/17 07:27:22 INFO mapred.JobClient: Reduce input groups=1 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Map output materialized > > > bytes=42246 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Combine output records=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Map input records=2640 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Reduce shuffle bytes=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Physical memory (bytes) > > > snapshot=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Reduce output records=1 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Spilled Records=5280 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Map output bytes=36960 > > > 13/08/17 07:27:22 INFO mapred.JobClient: CPU time spent (ms)=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Total committed heap usage > > > (bytes)=321527808 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Virtual memory (bytes) > > > snapshot=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Combine input records=0 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Map output records=2640 > > > 13/08/17 07:27:22 INFO mapred.JobClient: SPLIT_RAW_BYTES=65 > > > 13/08/17 07:27:22 INFO mapred.JobClient: Reduce input records=2640 > > > > > > > * > > * > > *Question:::(please don't laugh at me if i will ask you a silly question) > > > > * > > Here in code i set output directory.But,when i seen in hdfs directory it > is > > not contain any part-0000 file.It contains only SUCCESS file.* > > * > > Can i ask why it is happen.??* > > > > > > > > * > > > > > > > > > > On Sat, Aug 17, 2013 at 5:24 PM, Jean-Marc Spaggiari < > > [email protected]> wrote: > > > > > 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* > > > > * > > > > > > > > > > > > > > > -- > > Regards > > > > *Manish Dunani* > > *Contact No* : +91 9408329137 > > *skype id* : manish.dunani* > > * > > > -- Regards *Manish Dunani* *Contact No* : +91 9408329137 *skype id* : manish.dunani* *
