org.apache.hadoop.hive.ql.udf.generic
Class GenericUDAFContextNGrams

java.lang.Object
  org.apache.hadoop.hive.ql.udf.generic.GenericUDAFContextNGrams

All Implemented Interfaces:

GenericUDAFResolver

public class GenericUDAFContextNGrams
extends Object
implements GenericUDAFResolver

Estimates the top-k contextual n-grams in arbitrary sequential data using a heuristic.

Nested Class Summary

static class

GenericUDAFContextNGrams.GenericUDAFContextNGramEvaluator A constant-space heuristic to estimate the top-k contextual n-grams.

Constructor Summary

GenericUDAFContextNGrams()

Method Summary

GenericUDAFEvaluator

getEvaluator(TypeInfo[] parameters) Get the evaluator for the parameter types.

Methods inherited from class java.lang.Object

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

Constructor Detail

GenericUDAFContextNGrams

public GenericUDAFContextNGrams()

Method Detail

getEvaluator

public GenericUDAFEvaluator getEvaluator(TypeInfo[] parameters)
                                  throws SemanticException

Description copied from interface: GenericUDAFResolver

Get the evaluator for the parameter types. The reason that this function returns an object instead of a class is because it is possible that the object needs some configuration (that can be serialized). In that case the class of the object has to implement the Serializable interface. At execution time, we will deserialize the object from the plan and use it to evaluate the aggregations.

If the class of the object does not implement Serializable, then we will create a new instance of the class at execution time.

Specified by:

getEvaluator in interface GenericUDAFResolver

Parameters:

parameters - The types of the parameters. We need the type information to know which evaluator class to use.

Throws:

SemanticException