/** * 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.gen; import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; import org.apache.hadoop.hive.ql.exec.vector.; import org.apache.hadoop.hive.ql.exec.vector.; import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor; /** * Generated from template ColumnCompareScalar.txt, which covers binary comparison * expressions between a column and a scalar. The boolean output is stored in a * separate boolean column. */ public class extends VectorExpression { private static final long serialVersionUID = 1L; private int colNum; private value; private int outputColumn; public (int colNum, value, int outputColumn) { this.colNum = colNum; this.value = value; this.outputColumn = outputColumn; } public () { } @Override public void evaluate(VectorizedRowBatch batch) { if (childExpressions != null) { super.evaluateChildren(batch); } inputColVector = () batch.cols[colNum]; outputColVector = () batch.cols[outputColumn]; int[] sel = batch.selected; boolean[] nullPos = inputColVector.isNull; boolean[] outNulls = outputColVector.isNull; int n = batch.size; [] vector = inputColVector.vector; [] outputVector = outputColVector.vector; // return immediately if batch is empty if (n == 0) { return; } outputColVector.isRepeating = false; outputColVector.noNulls = inputColVector.noNulls; if (inputColVector.noNulls) { if (inputColVector.isRepeating) { //All must be selected otherwise size would be zero //Repeating property will not change. outputVector[0] = vector[0] value ? 1 : 0; outputColVector.isRepeating = true; } else if (batch.selectedInUse) { for(int j=0; j != n; j++) { int i = sel[j]; outputVector[i] = vector[i] value ? 1 : 0; } } else { for(int i = 0; i != n; i++) { outputVector[i] = vector[i] value ? 1 : 0; } } } else { if (inputColVector.isRepeating) { //All must be selected otherwise size would be zero //Repeating property will not change. if (!nullPos[0]) { outputVector[0] = vector[0] value ? 1 : 0; outNulls[0] = false; } else { outNulls[0] = true; } outputColVector.isRepeating = true; } else if (batch.selectedInUse) { for(int j=0; j != n; j++) { int i = sel[j]; if (!nullPos[i]) { outputVector[i] = vector[i] value ? 1 : 0; outNulls[i] = false; } else { //comparison with null is null outNulls[i] = true; } } } else { System.arraycopy(nullPos, 0, outNulls, 0, n); for(int i = 0; i != n; i++) { if (!nullPos[i]) { outputVector[i] = vector[i] value ? 1 : 0; } } } } } @Override public int getOutputColumn() { return outputColumn; } @Override public String getOutputType() { return ""; } public int getColNum() { return colNum; } public void setColNum(int colNum) { this.colNum = colNum; } public getValue() { return value; } public void setValue( value) { this.value = value; } public void setOutputColumn(int outputColumn) { this.outputColumn = outputColumn; } @Override public VectorExpressionDescriptor.Descriptor getDescriptor() { return (new VectorExpressionDescriptor.Builder()) .setMode( VectorExpressionDescriptor.Mode.PROJECTION) .setNumArguments(2) .setArgumentTypes( VectorExpressionDescriptor.ArgumentType.getType(""), VectorExpressionDescriptor.ArgumentType.getType("")) .setInputExpressionTypes( VectorExpressionDescriptor.InputExpressionType.COLUMN, VectorExpressionDescriptor.InputExpressionType.SCALAR).build(); } }