SleepJob (Hadoop 1.2.1 API)
Date: 2013-07-22

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## org.apache.hadoop.examples
Class SleepJob

    java.lang.Object
      org.apache.hadoop.conf.Configured
          org.apache.hadoop.examples.SleepJob

All Implemented Interfaces:
  Closeable, Configurable, JobConfigurable, Mapper<IntWritable,IntWritable,IntWritable,NullWritable>, Partitioner<IntWritable,NullWritable>, Reducer<IntWritable,NullWritable,NullWritable,NullWritable>, Tool

    public class SleepJob

extends Configured
implements Tool, Mapper<IntWritable,IntWritable,IntWritable,NullWritable>, Reducer<IntWritable,NullWritable,NullWritable,NullWritable>, Partitioner<IntWritable,NullWritable>

Dummy class for testing MR framefork. Sleeps for a defined period of time in mapper and reducer. Generates fake input for map / reduce jobs. Note that generated number of input pairs is in the order of `numMappers * mapSleepTime / 100`, so the job uses some disk space.

Nested Class Summary
`static class` | `SleepJob.EmptySplit`
`static class` | `SleepJob.SleepInputFormat`

Constructor Summary
`SleepJob()`

Method Summary
`void` | `close()`
`void` | `configure(JobConf job)` Initializes a new instance from a `JobConf`.
`int` | `getPartition(IntWritable k, NullWritable v, int numPartitions)` Get the paritition number for a given key (hence record) given the total number of partitions i.e.
`static void` | `main(String[] args)`
`void` | `map(IntWritable key, IntWritable value, OutputCollector<IntWritable,NullWritable> output, Reporter reporter)` Maps a single input key/value pair into an intermediate key/value pair.
`void` | `reduce(IntWritable key, Iterator<NullWritable> values, OutputCollector<NullWritable,NullWritable> output, Reporter reporter)` Reduces values for a given key.
`int` | `run(int numMapper, int numReducer, long mapSleepTime, int mapSleepCount, long reduceSleepTime, int reduceSleepCount)`
`int` | `run(String[] args)` Execute the command with the given arguments.
`JobConf` | `setupJobConf(int numMapper, int numReducer, long mapSleepTime, int mapSleepCount, long reduceSleepTime, int reduceSleepCount)`

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`

Constructor Detail

### SleepJob

    public SleepJob()

Method Detail

### getPartition

    public int getPartition(IntWritable k,
                            NullWritable v,
                            int numPartitions)

  Description copied from interface: `Partitioner`
  Get the paritition number for a given key (hence record) given the total number of partitions i.e. number of reduce-tasks for the job.

  Typically a hash function on a all or a subset of the key.

  Specified by:
    `getPartition` in interface `Partitioner<IntWritable,NullWritable>`
  Parameters:
    `k` - the key to be paritioned.
    `v` - the entry value.
    `numPartitions` - the total number of partitions.
  Returns:
    the partition number for the `key`.

### map

    public void map(IntWritable key,
                    IntWritable value,
                    OutputCollector<IntWritable,NullWritable> output,
                    Reporter reporter)
             throws IOException

  Description copied from interface: `Mapper`
  Maps a single input key/value pair into an intermediate key/value pair.

  Output pairs need not be of the same types as input pairs. A given input pair may map to zero or many output pairs. Output pairs are collected with calls to `OutputCollector.collect(Object,Object)`.

  Applications can use the `Reporter` provided to report progress or just indicate that they are alive. In scenarios where the application takes an insignificant amount of time to process individual key/value pairs, this is crucial since the framework might assume that the task has timed-out and kill that task. The other way of avoiding this is to set mapred.task.timeout to a high-enough value (or even zero for no time-outs).

  Specified by:
    `map` in interface `Mapper<IntWritable,IntWritable,IntWritable,NullWritable>`
  Parameters:
    `key` - the input key.
    `value` - the input value.
    `output` - collects mapped keys and values.
    `reporter` - facility to report progress.
  Throws:
    `IOException`

### reduce

    public void reduce(IntWritable key,
                       Iterator<NullWritable> values,
                       OutputCollector<NullWritable,NullWritable> output,
                       Reporter reporter)
                throws IOException

  Description copied from interface: `Reducer`
  Reduces values for a given key.

  The framework calls this method for each `<key, (list of values)>` pair in the grouped inputs. Output values must be of the same type as input values. Input keys must not be altered. The framework will reuse the key and value objects that are passed into the reduce, therefore the application should clone the objects they want to keep a copy of. In many cases, all values are combined into zero or one value.

  Output pairs are collected with calls to `OutputCollector.collect(Object,Object)`.

  Applications can use the `Reporter` provided to report progress or just indicate that they are alive. In scenarios where the application takes an insignificant amount of time to process individual key/value pairs, this is crucial since the framework might assume that the task has timed-out and kill that task. The other way of avoiding this is to set mapred.task.timeout to a high-enough value (or even zero for no time-outs).

  Specified by:
    `reduce` in interface `Reducer<IntWritable,NullWritable,NullWritable,NullWritable>`
  Parameters:
    `key` - the key.
    `values` - the list of values to reduce.
    `output` - to collect keys and combined values.
    `reporter` - facility to report progress.
  Throws:
    `IOException`

### configure

    public void configure(JobConf job)

  Description copied from interface: `JobConfigurable`
  Initializes a new instance from a `JobConf`.

  Specified by:
    `configure` in interface `JobConfigurable`
  Parameters:
    `job` - the configuration

### close

    public void close()
               throws IOException

  Specified by:
    `close` in interface `Closeable`
  Throws:
    `IOException`

### main

    public static void main(String[] args)
                     throws Exception

  Throws:
    `Exception`

### run

    public int run(int numMapper,
                   int numReducer,
                   long mapSleepTime,
                   int mapSleepCount,
                   long reduceSleepTime,
                   int reduceSleepCount)
            throws IOException

  Throws:
    `IOException`

### setupJobConf

    public JobConf setupJobConf(int numMapper,
                                int numReducer,
                                long mapSleepTime,
                                int mapSleepCount,
                                long reduceSleepTime,
                                int reduceSleepCount)

### run

    public int run(String[] args)
            throws Exception

  Description copied from interface: `Tool`
  Execute the command with the given arguments.

  Specified by:
    `run` in interface `Tool`
  Parameters:
    `args` - command specific arguments.
  Returns:
    exit code.
  Throws:
    `Exception`

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