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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
* 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.common.type.HiveDecimal;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.vector.expressions.DecimalUtil;
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.VectorAggregationDesc;
import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
import org.apache.hadoop.hive.ql.exec.vector.ColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.StructColumnVector;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.plan.AggregationDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.Mode;
import org.apache.hadoop.hive.ql.util.JavaDataModel;
import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
import com.google.common.base.Preconditions;
/**
* Generated from template VectorUDAFAvg.txt.
*/
@Description(name = "avg",
value = "_FUNC_(AVG) - Returns the average value of expr (vectorized, type: decimal)")
public class VectorUDAFAvgDecimalComplete 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 final HiveDecimalWritable sum = new HiveDecimalWritable();
transient private long count;
public void avgValue(HiveDecimalWritable writable) {
// Note that if sum is out of range, mutateAdd will ignore the call.
// At the end, sum.isSet() can be checked for null.
sum.mutateAdd(writable);
count++;
}
@Override
public int getVariableSize() {
throw new UnsupportedOperationException();
}
@Override
public void reset() {
sum.setFromLong(0L);
count = 0;
}
}
transient private HiveDecimalWritable tempDecWritable;
DecimalTypeInfo outputDecimalTypeInfo;
/**
* The scale of the SUM in the partial output
*/
private int sumScale;
/**
* The precision of the SUM in the partial output
*/
private int sumPrecision;
// This constructor is used to momentarily create the object so match can be called.
public VectorUDAFAvgDecimalComplete() {
super();
}
public VectorUDAFAvgDecimalComplete(VectorAggregationDesc vecAggrDesc) {
super(vecAggrDesc);
Preconditions.checkState(this.mode == GenericUDAFEvaluator.Mode.COMPLETE);
init();
}
private void init() {
outputDecimalTypeInfo = (DecimalTypeInfo) outputTypeInfo;
sumScale = outputDecimalTypeInfo.scale();
sumPrecision = outputDecimalTypeInfo.precision();
tempDecWritable = new HiveDecimalWritable();
}
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);
DecimalColumnVector inputVector =
(DecimalColumnVector) batch.cols[
this.inputExpression.getOutputColumnNum()];
HiveDecimalWritable[] 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) {
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,
HiveDecimalWritable value,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
bufferIndex,
i);
myagg.avgValue(value);
}
}
private void iterateNoNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int bufferIndex,
HiveDecimalWritable[] values,
int[] selection,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
bufferIndex,
i);
myagg.avgValue(values[selection[i]]);
}
}
private void iterateNoNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int bufferIndex,
HiveDecimalWritable[] values,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
bufferIndex,
i);
myagg.avgValue(values[i]);
}
}
private void iterateHasNullsRepeatingWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int bufferIndex,
HiveDecimalWritable value,
int batchSize,
boolean[] isNull) {
if (isNull[0]) {
return;
}
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
bufferIndex,
i);
myagg.avgValue(value);
}
}
private void iterateHasNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int bufferIndex,
HiveDecimalWritable[] 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.avgValue(values[i]);
}
}
}
private void iterateHasNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int bufferIndex,
HiveDecimalWritable[] values,
int batchSize,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
bufferIndex,
i);
myagg.avgValue(values[i]);
}
}
}
@Override
public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch)
throws HiveException {
inputExpression.evaluate(batch);
DecimalColumnVector inputVector =
(DecimalColumnVector) batch.cols[
this.inputExpression.getOutputColumnNum()];
int batchSize = batch.size;
if (batchSize == 0) {
return;
}
Aggregation myagg = (Aggregation)agg;
HiveDecimalWritable[] vector = inputVector.vector;
if (inputVector.isRepeating) {
if (inputVector.noNulls || !inputVector.isNull[0]) {
HiveDecimal value = vector[0].getHiveDecimal();
HiveDecimal multiple = value.multiply(HiveDecimal.create(batchSize));
myagg.sum.mutateAdd(multiple);
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,
HiveDecimalWritable[] vector,
int batchSize,
boolean[] isNull,
int[] selected) {
for (int j=0; j< batchSize; ++j) {
int i = selected[j];
if (!isNull[i]) {
myagg.avgValue(vector[i]);
}
}
}
private void iterateSelectionNoNulls(
Aggregation myagg,
HiveDecimalWritable[] vector,
int batchSize,
int[] selected) {
for (int i=0; i< batchSize; ++i) {
myagg.avgValue(vector[selected[i]]);
}
}
private void iterateNoSelectionHasNulls(
Aggregation myagg,
HiveDecimalWritable[] vector,
int batchSize,
boolean[] isNull) {
for(int i=0;i
