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java.lang.Object org.apache.hadoop.mapred.MapReduceBase org.apache.hadoop.contrib.index.mapred.IndexUpdateReducer
public class IndexUpdateReducer
This reducer applies to a shard the changes for it. A "new version" of a shard is created at the end of a reduce. It is important to note that the new version of the shard is not derived from scratch. By leveraging Lucene's update algorithm, the new version of each Lucene instance will share as many files as possible as the previous version.
Constructor Summary | |
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IndexUpdateReducer()
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Method Summary | |
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void |
close()
Default implementation that does nothing. |
void |
configure(JobConf job)
Default implementation that does nothing. |
static Class<? extends WritableComparable> |
getOutputKeyClass()
Get the reduce output key class. |
static Class<? extends Writable> |
getOutputValueClass()
Get the reduce output value class. |
void |
reduce(Shard key,
Iterator<IntermediateForm> values,
OutputCollector<Shard,Text> output,
Reporter reporter)
Reduces values for a given key. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public IndexUpdateReducer()
Method Detail |
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public static Class<? extends WritableComparable> getOutputKeyClass()
public static Class<? extends Writable> getOutputValueClass()
public void reduce(Shard key, Iterator<IntermediateForm> values, OutputCollector<Shard,Text> output, Reporter reporter) 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).
reduce
in interface Reducer<Shard,IntermediateForm,Shard,Text>
key
- the key.values
- the list of values to reduce.output
- to collect keys and combined values.reporter
- facility to report progress.
IOException
public void configure(JobConf job)
MapReduceBase
configure
in interface JobConfigurable
configure
in class MapReduceBase
job
- the configurationpublic void close() throws IOException
MapReduceBase
close
in interface Closeable
close
in class MapReduceBase
IOException
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