/**
* 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.Arrays;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.vector.expressions.StringExpr;
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.BytesColumnVector;
import org.apache.hadoop.hive.ql.plan.AggregationDesc;
import org.apache.hadoop.hive.ql.util.JavaDataModel;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
import org.apache.hadoop.io.Text;
/**
* VectorUDAFMinString. Vectorized implementation for MIN/MAX aggregates.
*/
@Description(name = "min",
value = "_FUNC_(expr) - Returns the minimum value of expr (vectorized, type: string)")
public class VectorUDAFMinString 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 static int MIN_BUFFER_SIZE = 16;
transient private byte[] bytes = new byte[MIN_BUFFER_SIZE];
transient private int length;
/**
* Value is explicitly (re)initialized in reset()
*/
transient private boolean isNull = true;
public void checkValue(byte[] bytes, int start, int length) {
if (isNull) {
isNull = false;
assign(bytes, start, length);
} else if (StringExpr.compare(
bytes, start, length,
this.bytes, 0, this.length) < 0) {
assign(bytes, start, length);
}
}
public void assign(byte[] bytes, int start, int length) {
// Avoid new allocation if possible
if (this.bytes.length < length) {
this.bytes = new byte[length];
}
System.arraycopy(bytes, start, this.bytes, 0, length);
this.length = length;
}
@Override
public int getVariableSize() {
JavaDataModel model = JavaDataModel.get();
return model.lengthForByteArrayOfSize(bytes.length);
}
@Override
public void reset () {
isNull = true;
length = 0;
}
}
private VectorExpression inputExpression;
transient private Text result;
public VectorUDAFMinString(VectorExpression inputExpression) {
this();
this.inputExpression = inputExpression;
}
public VectorUDAFMinString() {
super();
result = new Text();
}
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);
BytesColumnVector inputColumn = (BytesColumnVector)batch.
cols[this.inputExpression.getOutputColumn()];
if (inputColumn.noNulls) {
if (inputColumn.isRepeating) {
iterateNoNullsRepeatingWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColumn, batchSize);
} else {
if (batch.selectedInUse) {
iterateNoNullsSelectionWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColumn, batch.selected, batchSize);
} else {
iterateNoNullsWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColumn, batchSize);
}
}
} else {
if (inputColumn.isRepeating) {
// All nulls, no-op for min/max
} else {
if (batch.selectedInUse) {
iterateHasNullsSelectionWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColumn, batchSize, batch.selected);
} else {
iterateHasNullsWithAggregationSelection(
aggregationBufferSets, aggregrateIndex,
inputColumn, batchSize);
}
}
}
}
private void iterateNoNullsRepeatingWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
BytesColumnVector inputColumn,
int batchSize) {
byte[] bytes = inputColumn.vector[0];
int start = inputColumn.start[0];
int length = inputColumn.length[0];
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(bytes, start, length);
}
}
private void iterateNoNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
BytesColumnVector inputColumn,
int[] selection,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
int row = selection[i];
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(inputColumn.vector[row],
inputColumn.start[row],
inputColumn.length[row]);
}
}
private void iterateNoNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
BytesColumnVector inputColumn,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(inputColumn.vector[i],
inputColumn.start[i],
inputColumn.length[i]);
}
}
private void iterateHasNullsSelectionWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
BytesColumnVector inputColumn,
int batchSize,
int[] selection) {
for (int i=0; i < batchSize; ++i) {
int row = selection[i];
if (!inputColumn.isNull[row]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(inputColumn.vector[row],
inputColumn.start[row],
inputColumn.length[row]);
}
}
}
private void iterateHasNullsWithAggregationSelection(
VectorAggregationBufferRow[] aggregationBufferSets,
int aggregrateIndex,
BytesColumnVector inputColumn,
int batchSize) {
for (int i=0; i < batchSize; ++i) {
if (!inputColumn.isNull[i]) {
Aggregation myagg = getCurrentAggregationBuffer(
aggregationBufferSets,
aggregrateIndex,
i);
myagg.checkValue(inputColumn.vector[i],
inputColumn.start[i],
inputColumn.length[i]);
}
}
}
@Override
public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch)
throws HiveException {
inputExpression.evaluate(batch);
BytesColumnVector inputColumn = (BytesColumnVector)batch.
cols[this.inputExpression.getOutputColumn()];
int batchSize = batch.size;
if (batchSize == 0) {
return;
}
Aggregation myagg = (Aggregation)agg;
if (inputColumn.isRepeating) {
if (inputColumn.noNulls) {
myagg.checkValue(inputColumn.vector[0],
inputColumn.start[0],
inputColumn.length[0]);
}
return;
}
if (!batch.selectedInUse && inputColumn.noNulls) {
iterateNoSelectionNoNulls(myagg, inputColumn, batchSize);
}
else if (!batch.selectedInUse) {
iterateNoSelectionHasNulls(myagg, inputColumn, batchSize);
}
else if (inputColumn.noNulls){
iterateSelectionNoNulls(myagg, inputColumn, batchSize, batch.selected);
}
else {
iterateSelectionHasNulls(myagg, inputColumn, batchSize, batch.selected);
}
}
private void iterateSelectionHasNulls(
Aggregation myagg,
BytesColumnVector inputColumn,
int batchSize,
int[] selected) {
for (int j=0; j< batchSize; ++j) {
int i = selected[j];
if (!inputColumn.isNull[i]) {
myagg.checkValue(inputColumn.vector[i],
inputColumn.start[i],
inputColumn.length[i]);
}
}
}
private void iterateSelectionNoNulls(
Aggregation myagg,
BytesColumnVector inputColumn,
int batchSize,
int[] selected) {
for (int i=0; i< batchSize; ++i) {
myagg.checkValue(inputColumn.vector[i],
inputColumn.start[i],
inputColumn.length[i]);
}
}
private void iterateNoSelectionHasNulls(
Aggregation myagg,
BytesColumnVector inputColumn,
int batchSize) {
for (int i=0; i< batchSize; ++i) {
if (!inputColumn.isNull[i]) {
myagg.checkValue(inputColumn.vector[i],
inputColumn.start[i],
inputColumn.length[i]);
}
}
}
private void iterateNoSelectionNoNulls(
Aggregation myagg,
BytesColumnVector inputColumn,
int batchSize) {
for (int i=0; i< batchSize; ++i) {
myagg.checkValue(inputColumn.vector[i],
inputColumn.start[i],
inputColumn.length[i]);
}
}
@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 {
result.set(myagg.bytes, 0, myagg.length);
return result;
}
}
@Override
public ObjectInspector getOutputObjectInspector() {
return PrimitiveObjectInspectorFactory.writableStringObjectInspector;
}
@Override
public int getAggregationBufferFixedSize() {
JavaDataModel model = JavaDataModel.get();
return JavaDataModel.alignUp(
model.object() +
model.ref()+
model.primitive1()*2,
model.memoryAlign());
}
@Override
public boolean hasVariableSize() {
return true;
}
@Override
public void init(AggregationDesc desc) throws HiveException {
// No-op
}
public VectorExpression getInputExpression() {
return inputExpression;
}
public void setInputExpression(VectorExpression inputExpression) {
this.inputExpression = inputExpression;
}
}