| /** |
| * 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 org.apache.hadoop.hive.common.type.HiveDecimal; |
| 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.VectorizedRowBatch; |
| import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; |
| 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.hive.serde2.io.HiveDecimalWritable; |
| import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector; |
| |
| /** |
| * <ClassName>. Vectorized implementation for MIN/MAX aggregates. |
| */ |
| @Description(name = "<DescriptionName>", |
| value = "<DescriptionValue>") |
| public class <ClassName> 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 HiveDecimalWritable value; |
| |
| /** |
| * Value is explicitly (re)initialized in reset() |
| */ |
| transient private boolean isNull = true; |
| |
| public Aggregation() { |
| value = new HiveDecimalWritable(); |
| } |
| |
| public void checkValue(HiveDecimalWritable writable, short scale) { |
| HiveDecimal value = writable.getHiveDecimal(); |
| if (isNull) { |
| isNull = false; |
| this.value.set(value); |
| } else if (this.value.getHiveDecimal().compareTo(value) <OperatorSymbol> 0) { |
| this.value.set(value); |
| } |
| } |
| |
| @Override |
| public int getVariableSize() { |
| throw new UnsupportedOperationException(); |
| } |
| |
| @Override |
| public void reset () { |
| isNull = true; |
| value.set(HiveDecimal.ZERO); |
| } |
| } |
| |
| private VectorExpression inputExpression; |
| private transient VectorExpressionWriter resultWriter; |
| |
| public <ClassName>(VectorExpression inputExpression) { |
| this(); |
| this.inputExpression = inputExpression; |
| } |
| |
| public <ClassName>() { |
| super(); |
| } |
| |
| @Override |
| public void init(AggregationDesc desc) throws HiveException { |
| resultWriter = VectorExpressionWriterFactory.genVectorExpressionWritable( |
| desc.getParameters().get(0)); |
| } |
| |
| 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); |
| |
| DecimalColumnVector inputVector = (DecimalColumnVector)batch. |
| cols[this.inputExpression.getOutputColumn()]; |
| HiveDecimalWritable[] vector = inputVector.vector; |
| |
| if (inputVector.noNulls) { |
| if (inputVector.isRepeating) { |
| iterateNoNullsRepeatingWithAggregationSelection( |
| aggregationBufferSets, aggregrateIndex, |
| vector[0], inputVector.scale, batchSize); |
| } else { |
| if (batch.selectedInUse) { |
| iterateNoNullsSelectionWithAggregationSelection( |
| aggregationBufferSets, aggregrateIndex, |
| vector, inputVector.scale, batch.selected, batchSize); |
| } else { |
| iterateNoNullsWithAggregationSelection( |
| aggregationBufferSets, aggregrateIndex, |
| vector, inputVector.scale, batchSize); |
| } |
| } |
| } else { |
| if (inputVector.isRepeating) { |
| if (batch.selectedInUse) { |
| iterateHasNullsRepeatingSelectionWithAggregationSelection( |
| aggregationBufferSets, aggregrateIndex, |
| vector[0], inputVector.scale, batchSize, batch.selected, inputVector.isNull); |
| } else { |
| iterateHasNullsRepeatingWithAggregationSelection( |
| aggregationBufferSets, aggregrateIndex, |
| vector[0], inputVector.scale, batchSize, inputVector.isNull); |
| } |
| } else { |
| if (batch.selectedInUse) { |
| iterateHasNullsSelectionWithAggregationSelection( |
| aggregationBufferSets, aggregrateIndex, |
| vector, inputVector.scale, batchSize, batch.selected, inputVector.isNull); |
| } else { |
| iterateHasNullsWithAggregationSelection( |
| aggregationBufferSets, aggregrateIndex, |
| vector, inputVector.scale, batchSize, inputVector.isNull); |
| } |
| } |
| } |
| } |
| |
| private void iterateNoNullsRepeatingWithAggregationSelection( |
| VectorAggregationBufferRow[] aggregationBufferSets, |
| int aggregrateIndex, |
| HiveDecimalWritable value, |
| short scale, |
| int batchSize) { |
| |
| for (int i=0; i < batchSize; ++i) { |
| Aggregation myagg = getCurrentAggregationBuffer( |
| aggregationBufferSets, |
| aggregrateIndex, |
| i); |
| myagg.checkValue(value, scale); |
| } |
| } |
| |
| private void iterateNoNullsSelectionWithAggregationSelection( |
| VectorAggregationBufferRow[] aggregationBufferSets, |
| int aggregrateIndex, |
| HiveDecimalWritable[] values, |
| short scale, |
| int[] selection, |
| int batchSize) { |
| |
| for (int i=0; i < batchSize; ++i) { |
| Aggregation myagg = getCurrentAggregationBuffer( |
| aggregationBufferSets, |
| aggregrateIndex, |
| i); |
| myagg.checkValue(values[selection[i]], scale); |
| } |
| } |
| |
| private void iterateNoNullsWithAggregationSelection( |
| VectorAggregationBufferRow[] aggregationBufferSets, |
| int aggregrateIndex, |
| HiveDecimalWritable[] values, |
| short scale, |
| int batchSize) { |
| for (int i=0; i < batchSize; ++i) { |
| Aggregation myagg = getCurrentAggregationBuffer( |
| aggregationBufferSets, |
| aggregrateIndex, |
| i); |
| myagg.checkValue(values[i], scale); |
| } |
| } |
| |
| private void iterateHasNullsRepeatingSelectionWithAggregationSelection( |
| VectorAggregationBufferRow[] aggregationBufferSets, |
| int aggregrateIndex, |
| HiveDecimalWritable value, |
| short scale, |
| int batchSize, |
| int[] selection, |
| boolean[] isNull) { |
| |
| for (int i=0; i < batchSize; ++i) { |
| if (!isNull[selection[i]]) { |
| Aggregation myagg = getCurrentAggregationBuffer( |
| aggregationBufferSets, |
| aggregrateIndex, |
| i); |
| myagg.checkValue(value, scale); |
| } |
| } |
| |
| } |
| |
| private void iterateHasNullsRepeatingWithAggregationSelection( |
| VectorAggregationBufferRow[] aggregationBufferSets, |
| int aggregrateIndex, |
| HiveDecimalWritable value, |
| short scale, |
| int batchSize, |
| boolean[] isNull) { |
| |
| for (int i=0; i < batchSize; ++i) { |
| if (!isNull[i]) { |
| Aggregation myagg = getCurrentAggregationBuffer( |
| aggregationBufferSets, |
| aggregrateIndex, |
| i); |
| myagg.checkValue(value, scale); |
| } |
| } |
| } |
| |
| private void iterateHasNullsSelectionWithAggregationSelection( |
| VectorAggregationBufferRow[] aggregationBufferSets, |
| int aggregrateIndex, |
| HiveDecimalWritable[] values, |
| short scale, |
| 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(values[i], scale); |
| } |
| } |
| } |
| |
| private void iterateHasNullsWithAggregationSelection( |
| VectorAggregationBufferRow[] aggregationBufferSets, |
| int aggregrateIndex, |
| HiveDecimalWritable[] values, |
| short scale, |
| int batchSize, |
| boolean[] isNull) { |
| |
| for (int i=0; i < batchSize; ++i) { |
| if (!isNull[i]) { |
| Aggregation myagg = getCurrentAggregationBuffer( |
| aggregationBufferSets, |
| aggregrateIndex, |
| i); |
| myagg.checkValue(values[i], scale); |
| } |
| } |
| } |
| |
| @Override |
| public void aggregateInput(AggregationBuffer agg, VectorizedRowBatch batch) |
| throws HiveException { |
| |
| inputExpression.evaluate(batch); |
| |
| DecimalColumnVector inputVector = (DecimalColumnVector)batch. |
| cols[this.inputExpression.getOutputColumn()]; |
| |
| int batchSize = batch.size; |
| |
| if (batchSize == 0) { |
| return; |
| } |
| |
| Aggregation myagg = (Aggregation)agg; |
| |
| HiveDecimalWritable[] vector = inputVector.vector; |
| |
| if (inputVector.isRepeating) { |
| if (inputVector.noNulls && |
| (myagg.isNull || (myagg.value.compareTo(vector[0]) <OperatorSymbol> 0))) { |
| myagg.isNull = false; |
| HiveDecimal value = vector[0].getHiveDecimal(); |
| myagg.value.set(value); |
| } |
| return; |
| } |
| |
| if (!batch.selectedInUse && inputVector.noNulls) { |
| iterateNoSelectionNoNulls(myagg, vector, inputVector.scale, batchSize); |
| } |
| else if (!batch.selectedInUse) { |
| iterateNoSelectionHasNulls(myagg, vector, inputVector.scale, |
| batchSize, inputVector.isNull); |
| } |
| else if (inputVector.noNulls){ |
| iterateSelectionNoNulls(myagg, vector, inputVector.scale, batchSize, batch.selected); |
| } |
| else { |
| iterateSelectionHasNulls(myagg, vector, inputVector.scale, |
| batchSize, inputVector.isNull, batch.selected); |
| } |
| } |
| |
| private void iterateSelectionHasNulls( |
| Aggregation myagg, |
| HiveDecimalWritable[] vector, |
| short scale, |
| int batchSize, |
| boolean[] isNull, |
| int[] selected) { |
| |
| for (int j=0; j< batchSize; ++j) { |
| int i = selected[j]; |
| if (!isNull[i]) { |
| HiveDecimal value = vector[i].getHiveDecimal(); |
| if (myagg.isNull) { |
| myagg.isNull = false; |
| myagg.value.set(value); |
| } |
| else if (myagg.value.getHiveDecimal().compareTo(value) <OperatorSymbol> 0) { |
| myagg.value.set(value); |
| } |
| } |
| } |
| } |
| |
| private void iterateSelectionNoNulls( |
| Aggregation myagg, |
| HiveDecimalWritable[] vector, |
| short scale, |
| int batchSize, |
| int[] selected) { |
| |
| if (myagg.isNull) { |
| HiveDecimal value = vector[selected[0]].getHiveDecimal(); |
| myagg.value.set(value); |
| myagg.isNull = false; |
| } |
| |
| for (int i=0; i< batchSize; ++i) { |
| HiveDecimal value = vector[selected[i]].getHiveDecimal(); |
| if (myagg.value.getHiveDecimal().compareTo(value) <OperatorSymbol> 0) { |
| myagg.value.set(value); |
| } |
| } |
| } |
| |
| private void iterateNoSelectionHasNulls( |
| Aggregation myagg, |
| HiveDecimalWritable[] vector, |
| short scale, |
| int batchSize, |
| boolean[] isNull) { |
| |
| for(int i=0;i<batchSize;++i) { |
| if (!isNull[i]) { |
| HiveDecimal value = vector[i].getHiveDecimal(); |
| if (myagg.isNull) { |
| myagg.value.set(value); |
| myagg.isNull = false; |
| } |
| else if (myagg.value.getHiveDecimal().compareTo(value) <OperatorSymbol> 0) { |
| myagg.value.set(value); |
| } |
| } |
| } |
| } |
| |
| private void iterateNoSelectionNoNulls( |
| Aggregation myagg, |
| HiveDecimalWritable[] vector, |
| short scale, |
| int batchSize) { |
| if (myagg.isNull) { |
| HiveDecimal value = vector[0].getHiveDecimal(); |
| myagg.value.set(value); |
| myagg.isNull = false; |
| } |
| |
| for (int i=0;i<batchSize;++i) { |
| HiveDecimal value = vector[i].getHiveDecimal(); |
| if (myagg.value.getHiveDecimal().compareTo(value) <OperatorSymbol> 0) { |
| myagg.value.set(value); |
| } |
| } |
| } |
| |
| @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 { |
| return resultWriter.writeValue(myagg.value); |
| } |
| } |
| |
| @Override |
| public ObjectInspector getOutputObjectInspector() { |
| return resultWriter.getObjectInspector(); |
| } |
| |
| @Override |
| public int getAggregationBufferFixedSize() { |
| JavaDataModel model = JavaDataModel.get(); |
| return JavaDataModel.alignUp( |
| model.object() + |
| model.primitive2(), |
| model.memoryAlign()); |
| } |
| |
| public VectorExpression getInputExpression() { |
| return inputExpression; |
| } |
| |
| public void setInputExpression(VectorExpression inputExpression) { |
| this.inputExpression = inputExpression; |
| } |
| } |
| |
