org.apache.hadoop.hive.ql.exec.UDAF Maven / Gradle / Ivy

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 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
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 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.hadoop.hive.ql.exec;

/**
 * Please see the deprecation notice
 * 
 * Base class for all User-defined Aggregation Function (UDAF) classes.
 * 

 * Requirements for a UDAF class:
 * 

 *   Implement the {@code init()} method, which resets the status of the aggregation function.
 *   Implement a single method called {@code aggregate} that returns {@code boolean}.
 *     The method should always return {@code true} on valid inputs, or the framework will throw an Exception.
 *     Following are some examples:
 *     
 *       {@code public boolean aggregate(double a);}
 *       {@code public boolean aggregate(int b);}
 *       {@code public boolean aggregate(double c, double d);}
 *     
 *   
 *   Implement a single method called {@code evaluate} that returns the FINAL aggregation result.
 *     {@code evaluate} should never return {@code null} or an Exception will be thrown.
 *     Following are some examples:
 *     
 *       {@code public int evaluate();}
 *       {@code public long evaluate();}
 *       {@code public double evaluate();}
 *       {@code public Double evaluate();}
 *       {@code public String evaluate();}
 *     
 *   
 * 
 *
 * Optional for a UDAF class (by implementing these two methods, the user declares
 * that the UDAF supports partial aggregations):
 * 
 *   Implement a single method called {@code evaluatePartial} that returns the PARTIAL aggregation result.
 *     {@code evaluatePartial} should never return {@code null} or an Exception will be thrown.
 *   Implement a single method called {@code aggregatePartial} that takes a PARTIAL
 *     aggregation result and returns a boolean. The method should always return
 *     {@code true} on valid inputs, or the framework will throw an Exception.
 * 
 * 
 * Following are some examples:
 * 

 *   public int evaluatePartial();
 *   public boolean aggregatePartial(int partial);
 *   public String evaluatePartial();
 *   public boolean aggregatePartial(String partial);
 * 
 * 
 *
 * @deprecated Either implement {@link org.apache.hadoop.hive.ql.udf.generic.GenericUDAFResolver2} or extend
 * {@link org.apache.hadoop.hive.ql.udf.generic.AbstractGenericUDAFResolver} instead.
 */
@Deprecated
public class UDAF {

  /**
   * The resolver used for method resolution.
   */
  UDAFEvaluatorResolver rslv;

  /**
   * The default constructor.
   */
  public UDAF() {
    rslv = new DefaultUDAFEvaluatorResolver(this.getClass());
  }

  /**
   * The constructor with a particular type of resolver.
   */
  public UDAF(UDAFEvaluatorResolver rslv) {
    this.rslv = rslv;
  }

  /**
   * Sets the resolver.
   *
   * @param rslv
   *          The method resolver to use for method resolution.
   */
  public void setResolver(UDAFEvaluatorResolver rslv) {
    this.rslv = rslv;
  }

  /**
   * Gets the resolver.
   */
  public UDAFEvaluatorResolver getResolver() {
    return rslv;
  }
}