org.apache.hadoop.mapreduce.lib.partition
Class InputSampler<K,V>
java.lang.Object
org.apache.hadoop.conf.Configured
org.apache.hadoop.mapreduce.lib.partition.InputSampler<K,V>
- All Implemented Interfaces:
- org.apache.hadoop.conf.Configurable, org.apache.hadoop.util.Tool
- Direct Known Subclasses:
- InputSampler
@InterfaceAudience.Public
@InterfaceStability.Stable
public class InputSampler<K,V>
- extends org.apache.hadoop.conf.Configured
- implements org.apache.hadoop.util.Tool
Utility for collecting samples and writing a partition file for
TotalOrderPartitioner
.
Constructor Summary |
InputSampler(org.apache.hadoop.conf.Configuration conf)
|
Methods inherited from class org.apache.hadoop.conf.Configured |
getConf, setConf |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface org.apache.hadoop.conf.Configurable |
getConf, setConf |
InputSampler
public InputSampler(org.apache.hadoop.conf.Configuration conf)
writePartitionFile
public static <K,V> void writePartitionFile(Job job,
InputSampler.Sampler<K,V> sampler)
throws IOException,
ClassNotFoundException,
InterruptedException
- Write a partition file for the given job, using the Sampler provided.
Queries the sampler for a sample keyset, sorts by the output key
comparator, selects the keys for each rank, and writes to the destination
returned from
TotalOrderPartitioner.getPartitionFile(org.apache.hadoop.conf.Configuration)
.
- Throws:
IOException
ClassNotFoundException
InterruptedException
run
public int run(String[] args)
throws Exception
- Driver for InputSampler from the command line.
Configures a JobConf instance and calls
writePartitionFile(org.apache.hadoop.mapreduce.Job, org.apache.hadoop.mapreduce.lib.partition.InputSampler.Sampler)
.
- Specified by:
run
in interface org.apache.hadoop.util.Tool
- Throws:
Exception
main
public static void main(String[] args)
throws Exception
- Throws:
Exception
Copyright © 2013 Apache Software Foundation. All Rights Reserved.