Package org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen

Source Code of org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFAvgLong$Aggregation

/**
* 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.exec.vector.expressions.aggregates.gen;

import java.util.ArrayList;
import java.util.List;

import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.VectorAggregateExpression;
import org.apache.hadoop.hive.ql.exec.vector.VectorAggregationBufferRow;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.plan.AggregationDesc;
import org.apache.hadoop.hive.ql.util.JavaDataModel;
import org.apache.hadoop.io.LongWritable;
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.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;

/**
* Generated from template VectorUDAFAvg.txt.
*/
@Description(name = "avg",
    value = "_FUNC_(expr) - Returns the average value of expr (vectorized, type: long)")
public class VectorUDAFAvgLong extends VectorAggregateExpression {

    private static final long serialVersionUID = 1L;
   
    /** class for storing the current aggregate value. */
    static class Aggregation implements AggregationBuffer {

      private static final long serialVersionUID = 1L;

      transient private double sum;
      transient private long count;

      /**
      * Value is explicitly (re)initialized in reset()
      */
      transient private boolean isNull = true;
     
      public void sumValue(long value) {
        if (isNull) {
          sum = value;
          count = 1;
          isNull = false;
        } else {
          sum += value;
          count++;
        }
      }

      @Override
      public int getVariableSize() {
        throw new UnsupportedOperationException();
      }
     
      @Override
      public void reset () {
        isNull = true;
        sum = 0;
        count = 0L;
      }
    }
   
    private VectorExpression inputExpression;
    transient private Object[] partialResult;
    transient private LongWritable resultCount;
    transient private DoubleWritable resultSum;
    transient private StructObjectInspector soi;
       
    public VectorUDAFAvgLong(VectorExpression inputExpression) {
      this();
      this.inputExpression = inputExpression;
    }

    public VectorUDAFAvgLong() {
      super();
      partialResult = new Object[2];
      resultCount = new LongWritable();
      resultSum = new DoubleWritable();
      partialResult[0] = resultCount;
      partialResult[1] = resultSum;
      initPartialResultInspector();
    }

    private void initPartialResultInspector() {
        List<ObjectInspector> foi = new ArrayList<ObjectInspector>();
        foi.add(PrimitiveObjectInspectorFactory.writableLongObjectInspector);
        foi.add(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
        List<String> fname = new ArrayList<String>();
        fname.add("count");
        fname.add("sum");
        soi = ObjectInspectorFactory.getStandardStructObjectInspector(fname, foi);
    }
   
    private Aggregation getCurrentAggregationBuffer(
        VectorAggregationBufferRow[] aggregationBufferSets,
        int bufferIndex,
        int row) {
      VectorAggregationBufferRow mySet = aggregationBufferSets[row];
      Aggregation myagg = (Aggregation) mySet.getAggregationBuffer(bufferIndex);
      return myagg;
    }
   
    @Override
    public void aggregateInputSelection(
      VectorAggregationBufferRow[] aggregationBufferSets,
      int bufferIndex,
      VectorizedRowBatch batch) throws HiveException {
     
      int batchSize = batch.size;
     
      if (batchSize == 0) {
        return;
      }
     
      inputExpression.evaluate(batch);
     
       LongColumnVector inputVector = ( LongColumnVector)batch.
        cols[this.inputExpression.getOutputColumn()];
      long[] vector = inputVector.vector;

      if (inputVector.noNulls) {
        if (inputVector.isRepeating) {
          iterateNoNullsRepeatingWithAggregationSelection(
            aggregationBufferSets, bufferIndex,
            vector[0], batchSize);
        } else {
          if (batch.selectedInUse) {
            iterateNoNullsSelectionWithAggregationSelection(
              aggregationBufferSets, bufferIndex,
              vector, batch.selected, batchSize);
          } else {
            iterateNoNullsWithAggregationSelection(
              aggregationBufferSets, bufferIndex,
              vector, batchSize);
          }
        }
      } else {
        if (inputVector.isRepeating) {
          if (batch.selectedInUse) {
            iterateHasNullsRepeatingSelectionWithAggregationSelection(
              aggregationBufferSets, bufferIndex,
              vector[0], batchSize, batch.selected, inputVector.isNull);
          } else {
            iterateHasNullsRepeatingWithAggregationSelection(
              aggregationBufferSets, bufferIndex,
              vector[0], batchSize, inputVector.isNull);
          }
        } else {
          if (batch.selectedInUse) {
            iterateHasNullsSelectionWithAggregationSelection(
              aggregationBufferSets, bufferIndex,
              vector, batchSize, batch.selected, inputVector.isNull);
          } else {
            iterateHasNullsWithAggregationSelection(
              aggregationBufferSets, bufferIndex,
              vector, batchSize, inputVector.isNull);
          }
        }
      }
    }

    private void iterateNoNullsRepeatingWithAggregationSelection(
      VectorAggregationBufferRow[] aggregationBufferSets,
      int bufferIndex,
      long value,
      int batchSize) {

      for (int i=0; i < batchSize; ++i) {
        Aggregation myagg = getCurrentAggregationBuffer(
          aggregationBufferSets,
          bufferIndex,
          i);
        myagg.sumValue(value);
      }
    }

    private void iterateNoNullsSelectionWithAggregationSelection(
      VectorAggregationBufferRow[] aggregationBufferSets,
      int bufferIndex,
      long[] values,
      int[] selection,
      int batchSize) {
     
      for (int i=0; i < batchSize; ++i) {
        Aggregation myagg = getCurrentAggregationBuffer(
          aggregationBufferSets,
          bufferIndex,
          i);
        myagg.sumValue(values[selection[i]]);
      }
    }

    private void iterateNoNullsWithAggregationSelection(
      VectorAggregationBufferRow[] aggregationBufferSets,
      int bufferIndex,
      long[] values,
      int batchSize) {
      for (int i=0; i < batchSize; ++i) {
        Aggregation myagg = getCurrentAggregationBuffer(
          aggregationBufferSets,
          bufferIndex,
          i);
        myagg.sumValue(values[i]);
      }
    }

    private void iterateHasNullsRepeatingSelectionWithAggregationSelection(
      VectorAggregationBufferRow[] aggregationBufferSets,
      int bufferIndex,
      long value,
      int batchSize,
      int[] selection,
      boolean[] isNull) {
     
      for (int i=0; i < batchSize; ++i) {
        if (!isNull[selection[i]]) {
          Aggregation myagg = getCurrentAggregationBuffer(
            aggregationBufferSets,
            bufferIndex,
            i);
          myagg.sumValue(value);
        }
      }
     
    }

    private void iterateHasNullsRepeatingWithAggregationSelection(
      VectorAggregationBufferRow[] aggregationBufferSets,
      int bufferIndex,
      long value,
      int batchSize,
      boolean[] isNull) {

      for (int i=0; i < batchSize; ++i) {
        if (!isNull[i]) {
          Aggregation myagg = getCurrentAggregationBuffer(
            aggregationBufferSets,
            bufferIndex,
            i);
          myagg.sumValue(value);
        }
      }
    }

    private void iterateHasNullsSelectionWithAggregationSelection(
      VectorAggregationBufferRow[] aggregationBufferSets,
      int bufferIndex,
      long[] values,
      int batchSize,
      int[] selection,
      boolean[] isNull) {

      for (int j=0; j < batchSize; ++j) {
        int i = selection[j];
        if (!isNull[i]) {
          Aggregation myagg = getCurrentAggregationBuffer(
            aggregationBufferSets,
            bufferIndex,
            j);
          myagg.sumValue(values[i]);
        }
      }
   }

    private void iterateHasNullsWithAggregationSelection(
      VectorAggregationBufferRow[] aggregationBufferSets,
      int bufferIndex,
      long[] values,
      int batchSize,
      boolean[] isNull) {

      for (int i=0; i < batchSize; ++i) {
        if (!isNull[i]) {
          Aggregation myagg = getCurrentAggregationBuffer(
            aggregationBufferSets,
            bufferIndex,
            i);
          myagg.sumValue(values[i]);
        }
      }
   }

   
    @Override
    public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch)
        throws HiveException {
       
        inputExpression.evaluate(batch);
       
        LongColumnVector inputVector =
            (LongColumnVector)batch.cols[this.inputExpression.getOutputColumn()];
       
        int batchSize = batch.size;
       
        if (batchSize == 0) {
          return;
        }
       
        Aggregation myagg = (Aggregation)agg;
 
        long[] vector = inputVector.vector;
       
        if (inputVector.isRepeating) {
          if (inputVector.noNulls) {
            if (myagg.isNull) {
              myagg.isNull = false;
              myagg.sum = 0;
              myagg.count = 0;
            }
            myagg.sum += vector[0]*batchSize;
            myagg.count += batchSize;
          }
          return;
        }
       
        if (!batch.selectedInUse && inputVector.noNulls) {
          iterateNoSelectionNoNulls(myagg, vector, batchSize);
        }
        else if (!batch.selectedInUse) {
          iterateNoSelectionHasNulls(myagg, vector, batchSize, inputVector.isNull);
        }
        else if (inputVector.noNulls){
          iterateSelectionNoNulls(myagg, vector, batchSize, batch.selected);
        }
        else {
          iterateSelectionHasNulls(myagg, vector, batchSize, inputVector.isNull, batch.selected);
        }
    }
 
    private void iterateSelectionHasNulls(
        Aggregation myagg,
        long[] vector,
        int batchSize,
        boolean[] isNull,
        int[] selected) {
     
      for (int j=0; j< batchSize; ++j) {
        int i = selected[j];
        if (!isNull[i]) {
          long value = vector[i];
          if (myagg.isNull) {
            myagg.isNull = false;
            myagg.sum = 0;
            myagg.count = 0;
          }
          myagg.sum += value;
          myagg.count += 1;
        }
      }
    }

    private void iterateSelectionNoNulls(
        Aggregation myagg,
        long[] vector,
        int batchSize,
        int[] selected) {
     
      if (myagg.isNull) {
        myagg.isNull = false;
        myagg.sum = 0;
        myagg.count = 0;
      }
     
      for (int i=0; i< batchSize; ++i) {
        long value = vector[selected[i]];
        myagg.sum += value;
        myagg.count += 1;
      }
    }

    private void iterateNoSelectionHasNulls(
        Aggregation myagg,
        long[] vector,
        int batchSize,
        boolean[] isNull) {
     
      for(int i=0;i<batchSize;++i) {
        if (!isNull[i]) {
          long value = vector[i];
          if (myagg.isNull) {
            myagg.isNull = false;
            myagg.sum = 0;
            myagg.count = 0;
          }
          myagg.sum += value;
          myagg.count += 1;
        }
      }
    }

    private void iterateNoSelectionNoNulls(
        Aggregation myagg,
        long[] vector,
        int batchSize) {
      if (myagg.isNull) {
        myagg.isNull = false;
        myagg.sum = 0;
        myagg.count = 0;
      }
     
      for (int i=0;i<batchSize;++i) {
        long value = vector[i];
        myagg.sum += value;
        myagg.count += 1;
      }
    }

    @Override
    public AggregationBuffer getNewAggregationBuffer() throws HiveException {
      return new Aggregation();
    }

    @Override
    public void reset(AggregationBuffer agg) throws HiveException {
      Aggregation myAgg = (Aggregation) agg;
      myAgg.reset();
    }

    @Override
    public Object evaluateOutput(
        AggregationBuffer agg) throws HiveException {
      Aggregation myagg = (Aggregation) agg;
      if (myagg.isNull) {
        return null;
      }
      else {
        assert(0 < myagg.count);
        resultCount.set (myagg.count);
        resultSum.set (myagg.sum);
        return partialResult;
      }
    }
   
  @Override
    public ObjectInspector getOutputObjectInspector() {
    return soi;
  }    

  @Override
  public int getAggregationBufferFixedSize() {
    JavaDataModel model = JavaDataModel.get();
    return JavaDataModel.alignUp(
      model.object() +
      model.primitive2() * 2,
      model.memoryAlign());
  }

  @Override
  public void init(AggregationDesc desc) throws HiveException {
    // No-op
  }
 
  public VectorExpression getInputExpression() {
    return inputExpression;
  }

  public void setInputExpression(VectorExpression inputExpression) {
    this.inputExpression = inputExpression;
  }
}
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