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java.lang.Object org.apache.hadoop.contrib.utils.join.JobBase org.apache.hadoop.contrib.utils.join.DataJoinMapperBase
public abstract class DataJoinMapperBase
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.
Field Summary | |
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protected String |
inputFile
|
protected Text |
inputTag
|
protected JobConf |
job
|
protected Reporter |
reporter
|
Fields inherited from class org.apache.hadoop.contrib.utils.join.JobBase |
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LOG |
Constructor Summary | |
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DataJoinMapperBase()
|
Method Summary | |
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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. |
Methods inherited from class org.apache.hadoop.contrib.utils.join.JobBase |
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addDoubleValue, addLongValue, getDoubleValue, getLongValue, getReport, report, setDoubleValue, setLongValue |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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protected String inputFile
protected JobConf job
protected Text inputTag
protected Reporter reporter
Constructor Detail |
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public DataJoinMapperBase()
Method Detail |
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public void configure(JobConf job)
JobBase
JobConf
.
configure
in interface JobConfigurable
configure
in class JobBase
job
- the configurationprotected abstract Text generateInputTag(String inputFile)
inputFile
-
protected abstract TaggedMapOutput generateTaggedMapOutput(Object value)
value
-
protected abstract Text generateGroupKey(TaggedMapOutput aRecord)
aRecord
-
public void map(Object key, Object value, OutputCollector output, Reporter reporter) throws IOException
Mapper
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).
key
- the input key.value
- the input value.output
- collects mapped keys and values.reporter
- facility to report progress.
IOException
public void close() throws IOException
IOException
public void reduce(Object arg0, Iterator arg1, OutputCollector arg2, Reporter arg3) throws IOException
Reducer
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).
arg0
- the key.arg1
- the list of values to reduce.arg2
- to collect keys and combined values.arg3
- facility to report progress.
IOException
|
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