org.apache.hadoop.contrib.utils.join

类 DataJoinMapperBase

java.lang.Object

org.apache.hadoop.contrib.utils.join.JobBase

org.apache.hadoop.contrib.utils.join.DataJoinMapperBase

所有已实现的接口:

Closeable, AutoCloseable, JobConfigurable, Mapper, Reducer

public abstract class DataJoinMapperBase
extends JobBase

This abstract class serves as the base class for the mapper class of a data join job. This class expects its subclasses to implement methods for the following functionalities: 1. Compute the source tag of input values 2. Compute the map output value object 3. Compute the map output key object The source tag will be used by the reducer to determine from which source (which table in SQL terminology) a value comes. Computing the map output value object amounts to performing projecting/filtering work in a SQL statement (through the select/where clauses). Computing the map output key amounts to choosing the join key. This class provides the appropriate plugin points for the user defined subclasses to implement the appropriate logic.

字段概要

字段

限定符和类型	字段和说明
protected String	inputFile
protected Text	inputTag
protected JobConf	job
protected Reporter	reporter

从类继承的字段 org.apache.hadoop.contrib.utils.join.JobBase

LOG

构造器概要

构造器

构造器和说明
DataJoinMapperBase()

方法概要

方法

限定符和类型	方法和说明
void	close()
void	configure(JobConf job) Initializes a new instance from a JobConf.
protected abstract Text	generateGroupKey(TaggedMapOutput aRecord) Generate a map output key.
protected abstract Text	generateInputTag(String inputFile) Determine the source tag based on the input file name.
protected abstract TaggedMapOutput	generateTaggedMapOutput(Object value) Generate a tagged map output value.
void	map(Object key, Object value, OutputCollector output, Reporter reporter) Maps a single input key/value pair into an intermediate key/value pair.
void	reduce(Object arg0, Iterator arg1, OutputCollector arg2, Reporter arg3) Reduces values for a given key.

从类继承的方法 org.apache.hadoop.contrib.utils.join.JobBase

addDoubleValue, addLongValue, getDoubleValue, getLongValue, getReport, report, setDoubleValue, setLongValue

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

字段详细资料

inputFile

protected String inputFile

job

protected JobConf job

inputTag

protected Text inputTag

reporter

protected Reporter reporter

构造器详细资料

DataJoinMapperBase

public DataJoinMapperBase()

方法详细资料

configure

public void configure(JobConf job)

从类复制的说明: JobBase

Initializes a new instance from a JobConf.

指定者:

configure 在接口中 JobConfigurable

覆盖:

configure 在类中 JobBase

参数:

job - the configuration

generateInputTag

protected abstract Text generateInputTag(String inputFile)

Determine the source tag based on the input file name.

参数:

inputFile -

返回:

the source tag computed from the given file name.

generateTaggedMapOutput

protected abstract TaggedMapOutput generateTaggedMapOutput(Object value)

Generate a tagged map output value. The user code can also perform projection/filtering. If it decides to discard the input record when certain conditions are met,it can simply return a null.

参数:

value -

返回:

an object of TaggedMapOutput computed from the given value.

generateGroupKey

protected abstract Text generateGroupKey(TaggedMapOutput aRecord)

Generate a map output key. The user code can compute the key programmatically, not just selecting the values of some fields. In this sense, it is more general than the joining capabilities of SQL.

参数:

aRecord -

返回:

the group key for the given record

map

public void map(Object key,
       Object value,
       OutputCollector output,
       Reporter reporter)
         throws IOException

从接口复制的说明: 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).

参数:

key - the input key.

value - the input value.

output - collects mapped keys and values.

reporter - facility to report progress.

抛出:

IOException

close

public void close()
           throws IOException

抛出:

IOException

reduce

public void reduce(Object arg0,
          Iterator arg1,
          OutputCollector arg2,
          Reporter arg3)
            throws IOException

从接口复制的说明: 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).

参数:

arg0 - the key.

arg1 - the list of values to reduce.

arg2 - to collect keys and combined values.

arg3 - facility to report progress.

抛出:

IOException