org.apache.hadoop.hive.ql.udf.generic
Class GenericUDAFPercentileApprox
java.lang.Object
org.apache.hadoop.hive.ql.udf.generic.GenericUDAFPercentileApprox
- All Implemented Interfaces:
- GenericUDAFResolver
public class GenericUDAFPercentileApprox
- extends Object
- implements GenericUDAFResolver
Computes an approximate percentile (quantile) from an approximate histogram, for very
large numbers of rows where the regular percentile() UDAF might run out of memory.
The input is a single double value or an array of double values representing the quantiles
requested. The output, corresponding to the input, is either an single double value or an
array of doubles that are the quantile values.
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
GenericUDAFPercentileApprox
public GenericUDAFPercentileApprox()
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
Copyright © 2011 The Apache Software Foundation