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Java Source Code / Java Documentation » Search Engine » mg4j » it.unimi.dsi.mg4j.index.cluster 
Source Cross Reference  Class Diagram Java Document (Java Doc) 


java.lang.Object
   it.unimi.dsi.mg4j.index.cluster.ChainedLexicalClusteringStrategy

ChainedLexicalClusteringStrategy
public class ChainedLexicalClusteringStrategy implements LexicalClusteringStrategy(Code)
A lexical clustering strategy that uses a chain of responsability to choose the local index: out of a given list are inquired until one contains the given term.

If the index cluster has Bloom filters, they will be used to reduce useless accesses to term maps.

The intended usage of this class is memory/disk lexical partitioning. Note that a serialised version of this class is empty. It acts just like a placeholder, so that loaders now that they must generate a new instance depending on the indices contained in the cluster.
author:
   Sebastiano Vigna



Field Summary
final static  longserialVersionUID
    

Constructor Summary
public  ChainedLexicalClusteringStrategy(Index[] index, BloomFilter[] termFilter)
     Creates a new chained lexical clustering strategy using additional Bloom filters.

Note that the static type of the parameter index is an array of Index , but the elements of the array must be , or an exception will be thrown.
Parameters:
  index - an array of disk-based indices, from which term maps will be extracted.
Parameters:
  termFilter - an array, parallel to index, of Bloom filter representing the terms contained in each local index.

public  ChainedLexicalClusteringStrategy(Index[] index)
     Creates a new chained lexical clustering strategy.

Method Summary
public  intglobalNumber(int localIndex, int localNumber)
    
public  intlocalIndex(CharSequence term)
    
public  intnumberOfLocalIndices()
    

Field Detail
serialVersionUID
final static long serialVersionUID(Code)




Constructor Detail
ChainedLexicalClusteringStrategy
public ChainedLexicalClusteringStrategy(Index[] index, BloomFilter[] termFilter)(Code)
Creates a new chained lexical clustering strategy using additional Bloom filters.

Note that the static type of the parameter index is an array of Index , but the elements of the array must be , or an exception will be thrown.
Parameters:
  index - an array of disk-based indices, from which term maps will be extracted.
Parameters:
  termFilter - an array, parallel to index, of Bloom filter representing the terms contained in each local index.




ChainedLexicalClusteringStrategy
public ChainedLexicalClusteringStrategy(Index[] index)(Code)
Creates a new chained lexical clustering strategy.

Note that the static type of the parameter index is an array of Index , but the elements of the array must be , or an exception will be thrown.
Parameters:
  index - an array of disk-based indices, from which term maps will be extracted.





Method Detail
globalNumber
public int globalNumber(int localIndex, int localNumber)(Code)



localIndex
public int localIndex(CharSequence term)(Code)



numberOfLocalIndices
public int numberOfLocalIndices()(Code)



Methods inherited from java.lang.Object
native protected Object clone() throws CloneNotSupportedException(Code)(Java Doc)
public boolean equals(Object obj)(Code)(Java Doc)
protected void finalize() throws Throwable(Code)(Java Doc)
final native public Class getClass()(Code)(Java Doc)
native public int hashCode()(Code)(Java Doc)
final native public void notify()(Code)(Java Doc)
final native public void notifyAll()(Code)(Java Doc)
public String toString()(Code)(Java Doc)
final native public void wait(long timeout) throws InterruptedException(Code)(Java Doc)
final public void wait(long timeout, int nanos) throws InterruptedException(Code)(Java Doc)
final public void wait() throws InterruptedException(Code)(Java Doc)

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