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  /*
   * Copyright 2009-2013 by The Regents of the University of California
   * Licensed 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 from
   * 
   *     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.
  */
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 regarding copyright ownership. The ASF licenses this file 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.udf.generic;
 
 
 import  org.apache.hadoop.hive.ql.exec.Description;
 import  org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException;
 import  org.apache.hadoop.hive.ql.metadata.HiveException;
 import  org.apache.hadoop.hive.ql.parse.SemanticException;
 import  org.apache.hadoop.hive.serde2.io.DoubleWritable;
 import  org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
 import  org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
 import  org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
 import  org.apache.hadoop.hive.serde2.objectinspector.StructField;
 import  org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
 import  org.apache.hadoop.hive.serde2.objectinspector.primitive.DoubleObjectInspector;
 import  org.apache.hadoop.hive.serde2.objectinspector.primitive.LongObjectInspector;
 import  org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
 import  org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils;
 import  org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
 import  org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
 import  org.apache.hadoop.io.LongWritable;
 import  org.apache.hadoop.util.StringUtils;
 
GenericUDAFAverage.
 
 @Description(name = "avg", value = "_FUNC_(x) - Returns the mean of a set of numbers")
 public class GenericUDAFAverage extends AbstractGenericUDAFResolver {
 
     static final Log LOG = LogFactory.getLog(GenericUDAFAverage.class.getName());
 
     @Override
     public GenericUDAFEvaluator getEvaluator(TypeInfo[] parametersthrows SemanticException {
         if (parameters.length != 1) {
             throw new UDFArgumentTypeException(parameters.length - 1, "Exactly one argument is expected.");
         }
 
         if (parameters[0].getCategory() != ObjectInspector.Category.PRIMITIVE) {
             throw new UDFArgumentTypeException(0, "Only primitive type arguments are accepted but "
                     + parameters[0].getTypeName() + " is passed.");
         }
         switch (((PrimitiveTypeInfo) parameters[0]).getPrimitiveCategory()) {
             case BYTE:
             case SHORT:
             case INT:
             case LONG:
             case FLOAT:
             case DOUBLE:
             case STRING:
                 return new GenericUDAFAverageEvaluator();
             case BOOLEAN:
             default:
                 throw new UDFArgumentTypeException(0, "Only numeric or string type arguments are accepted but "
                         + parameters[0].getTypeName() + " is passed.");
         }
     }

    
GenericUDAFAverageEvaluator.
 
     public static class GenericUDAFAverageEvaluator extends GenericUDAFEvaluator {
        // For PARTIAL1 and COMPLETE
        PrimitiveObjectInspector inputOI;
        // For PARTIAL2 and FINAL
        StructObjectInspector soi;
        StructField countField;
        StructField sumField;
        LongObjectInspector countFieldOI;
        DoubleObjectInspector sumFieldOI;
        // For PARTIAL1 and PARTIAL2
        Object[] partialResult;
        // For FINAL and COMPLETE
        DoubleWritable result;
        @Override
        public ObjectInspector init(Mode m, ObjectInspector[] parametersthrows HiveException {
            assert (parameters.length == 1);
            super.init(mparameters);
            // init input
            if (mode == Mode.PARTIAL1 || mode == Mode.COMPLETE) {
                 = (PrimitiveObjectInspector) parameters[0];
            } else {
                 = (StructObjectInspector) parameters[0];
                 = .getStructFieldRef("count");
                 = .getStructFieldRef("sum");
                 = (LongObjectInspector) .getFieldObjectInspector();
                 = (DoubleObjectInspector) .getFieldObjectInspector();
            }
            // init output
            if (mode == Mode.PARTIAL1 || mode == Mode.PARTIAL2) {
                // The output of a partial aggregation is a struct containing
                // a "long" count and a "double" sum.
                ArrayList<ObjectInspector> foi = new ArrayList<ObjectInspector>();
                foi.add(PrimitiveObjectInspectorFactory.writableLongObjectInspector);
                foi.add(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
                ArrayList<Stringfname = new ArrayList<String>();
                fname.add("count");
                fname.add("sum");
                 = new Object[2];
                [0] = new LongWritable(0);
                [1] = new DoubleWritable(0);
                return ObjectInspectorFactory.getStandardStructObjectInspector(fnamefoi);
            } else {
                 = new DoubleWritable(0);
                return PrimitiveObjectInspectorFactory.writableDoubleObjectInspector;
            }
        }
        static class AverageAgg implements SerializableBuffer {
            long count;
            double sum;
            @Override
            public void deSerializeAggBuffer(byte[] dataint startint len) {
                 = BufferSerDeUtil.getLong(datastart);
                start += 8;
                 = BufferSerDeUtil.getDouble(datastart);
            }
            @Override
            public void serializeAggBuffer(byte[] dataint startint len) {
                BufferSerDeUtil.writeLong(datastart);
                start += 8;
                BufferSerDeUtil.writeDouble(datastart);
            }
            @Override
            public void serializeAggBuffer(DataOutput outputthrows IOException {
                output.writeLong();
                output.writeDouble();
            }
        };
        @Override
        public AggregationBuffer getNewAggregationBuffer() throws HiveException {
            AverageAgg result = new AverageAgg();
            reset(result);
            return result;
        }
        @Override
        public void reset(AggregationBuffer aggthrows HiveException {
            AverageAgg myagg = (AverageAggagg;
            myagg.count = 0;
            myagg.sum = 0;
        }
        boolean warned = false;
        @Override
        public void iterate(AggregationBuffer aggObject[] parametersthrows HiveException {
            assert (parameters.length == 1);
            Object p = parameters[0];
            if (p != null) {
                AverageAgg myagg = (AverageAggagg;
                try {
                    double v = PrimitiveObjectInspectorUtils.getDouble(p);
                    myagg.count++;
                    myagg.sum += v;
                } catch (NumberFormatException e) {
                    if (!) {
                         = true;
                        .warn(getClass().getSimpleName() + " " + StringUtils.stringifyException(e));
                        .warn(getClass().getSimpleName() + " ignoring similar exceptions.");
                    }
                }
            }
        }
        @Override
        public Object terminatePartial(AggregationBuffer aggthrows HiveException {
            AverageAgg myagg = (AverageAggagg;
            ((LongWritable) [0]).set(myagg.count);
            ((DoubleWritable) [1]).set(myagg.sum);
            return ;
        }
        @Override
        public void merge(AggregationBuffer aggObject partialthrows HiveException {
            if (partial != null) {
                AverageAgg myagg = (AverageAggagg;
                Object partialCount = .getStructFieldData(partial);
                Object partialSum = .getStructFieldData(partial);
                myagg.count += .get(partialCount);
                myagg.sum += .get(partialSum);
            }
        }
        @Override
        public Object terminate(AggregationBuffer aggthrows HiveException {
            AverageAgg myagg = (AverageAggagg;
            if (myagg.count == 0) {
                return null;
            } else {
                .set(myagg.sum / myagg.count);
                return ;
            }
        }
    }
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