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org.apache.hadoop.hive.ql.exec.vector.expressions.aggregates.gen.VectorUDAFMaxTimestamp Maven / Gradle / Ivy
/*
* 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.sql.Timestamp;
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.expressions.VectorExpressionWriter;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpressionWriterFactory;
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.TimestampColumnVector;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.plan.AggregationDesc;
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.io.TimestampWritableV2;
/**
* VectorUDAFMaxTimestamp. Vectorized implementation for MIN/MAX aggregates.
*/
@Description(name = "max",
value = "_FUNC_(expr) - Returns the maximum value of expr (vectorized, type: timestamp)")
public class VectorUDAFMaxTimestamp extends VectorAggregateExpression {
private static final long serialVersionUID = 1L;
/**
* class for storing the current aggregate value.
*/
static private final class Aggregation implements AggregationBuffer {
private static final long serialVersionUID = 1L;
transient private final Timestamp value;
/**
* Value is explicitly (re)initialized in reset()
*/
transient private boolean isNull = true;
public Aggregation() {
value = new Timestamp(0);
}
public void checkValue(TimestampColumnVector colVector, int index) {
if (isNull) {
isNull = false;
colVector.timestampUpdate(this.value, index);
} else if (colVector.compareTo(this.value, index) < 0) {
colVector.timestampUpdate(this.value, index);
}
}
@Override
public int getVariableSize() {
throw new UnsupportedOperationException();
}
@Override
public void reset () {
isNull = true;
this.value.setTime(0);
}
}
// This constructor is used to momentarily create the object so match can be called.
public VectorUDAFMaxTimestamp() {
super();
}
public VectorUDAFMaxTimestamp(VectorAggregationDesc vecAggrDesc) {
super(vecAggrDesc);
init();
}
private void init() {
}
private Aggregation getCurrentAggregationBuffer(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
int row) {
VectorAggregationBufferRow mySet = aggregationBufferSets[row];
Aggregation myagg = (Aggregation) mySet.getAggregationBuffer(aggregrateIndex);
return myagg;
}
@Override
public void aggregateInputSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
VectorizedRowBatch batch) throws HiveException {
int batchSize = batch.size;
if (batchSize == 0) {
return;
}
inputExpression.evaluate(batch);
TimestampColumnVector inputColVector =
(TimestampColumnVector) batch.cols[
this.inputExpression.getOutputColumnNum()];
if (inputColVector.noNulls) {
if (inputColVector.isRepeating) {
iterateNoNullsRepeatingWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColVector, batchSize);
} else {
if (batch.selectedInUse) {
iterateNoNullsSelectionWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColVector, batch.selected, batchSize);
} else {
iterateNoNullsWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColVector, batchSize);
}
}
} else {
if (inputColVector.isRepeating) {
if (batch.selectedInUse) {
iterateHasNullsRepeatingSelectionWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColVector, batchSize, batch.selected, inputColVector.isNull);
} else {
iterateHasNullsRepeatingWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColVector, batchSize, inputColVector.isNull);
}
} else {
if (batch.selectedInUse) {
iterateHasNullsSelectionWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColVector, batchSize, batch.selected, inputColVector.isNull);
} else {
iterateHasNullsWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColVector, batchSize, inputColVector.isNull);
}
}
}
}
private void iterateNoNullsRepeatingWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
TimestampColumnVector inputColVector,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
// Repeating use index 0.
myagg.checkValue(inputColVector, 0);
}
}
private void iterateNoNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
TimestampColumnVector inputColVector,
int[] selection,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(inputColVector, selection[i]);
}
}
private void iterateNoNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
TimestampColumnVector inputColVector,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(inputColVector, i);
}
}
private void iterateHasNullsRepeatingSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
TimestampColumnVector inputColVector,
int batchSize,
int[] selection,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[selection[i]]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
// Repeating use index 0.
myagg.checkValue(inputColVector, 0);
}
}
}
private void iterateHasNullsRepeatingWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
TimestampColumnVector inputColVector,
int batchSize,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
// Repeating use index 0.
myagg.checkValue(inputColVector, 0);
}
}
}
private void iterateHasNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
TimestampColumnVector inputColVector,
int batchSize,
int[] selection,
boolean[] isNull) {
for (int j=0; j < batchSize; ++j) {
int i = selection[j];
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
j);
myagg.checkValue(inputColVector, i);
}
}
}
private void iterateHasNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
TimestampColumnVector inputColVector,
int batchSize,
boolean[] isNull) {
for (int i=0; i < batchSize; ++i) {
if (!isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(inputColVector, i);
}
}
}
@Override
public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch)
throws HiveException {
inputExpression.evaluate(batch);
TimestampColumnVector inputColVector =
(TimestampColumnVector) batch.cols[
this.inputExpression.getOutputColumnNum()];
int batchSize = batch.size;
if (batchSize == 0) {
return;
}
Aggregation myagg = (Aggregation)agg;
if (inputColVector.isRepeating) {
if ((inputColVector.noNulls || !inputColVector.isNull[0]) &&
(myagg.isNull || (inputColVector.compareTo(myagg.value, 0) < 0))) {
myagg.isNull = false;
inputColVector.timestampUpdate(myagg.value, 0);
}
return;
}
if (!batch.selectedInUse && inputColVector.noNulls) {
iterateNoSelectionNoNulls(myagg, inputColVector, batchSize);
}
else if (!batch.selectedInUse) {
iterateNoSelectionHasNulls(myagg, inputColVector,
batchSize, inputColVector.isNull);
}
else if (inputColVector.noNulls){
iterateSelectionNoNulls(myagg, inputColVector, batchSize, batch.selected);
}
else {
iterateSelectionHasNulls(myagg, inputColVector,
batchSize, inputColVector.isNull, batch.selected);
}
}
private void iterateSelectionHasNulls(
Aggregation myagg,
TimestampColumnVector inputColVector,
int batchSize,
boolean[] isNull,
int[] selected) {
for (int j=0; j< batchSize; ++j) {
int i = selected[j];
if (!isNull[i]) {
if (myagg.isNull) {
myagg.isNull = false;
inputColVector.timestampUpdate(myagg.value, i);
}
else if (inputColVector.compareTo(myagg.value, i) < 0) {
inputColVector.timestampUpdate(myagg.value, i);
}
}
}
}
private void iterateSelectionNoNulls(
Aggregation myagg,
TimestampColumnVector inputColVector,
int batchSize,
int[] selected) {
if (myagg.isNull) {
inputColVector.timestampUpdate(myagg.value, selected[0]);
myagg.isNull = false;
}
for (int i=0; i< batchSize; ++i) {
int sel = selected[i];
if (inputColVector.compareTo(myagg.value, sel) < 0) {
inputColVector.timestampUpdate(myagg.value, sel);
}
}
}
private void iterateNoSelectionHasNulls(
Aggregation myagg,
TimestampColumnVector inputColVector,
int batchSize,
boolean[] isNull) {
for(int i=0;i
