/** * 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.expressions.StringExpr; import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector; import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor; /** * This is a generated class to evaluate a comparison on a vector of strings. * Do not edit the generated code directly. */ public abstract class extends VectorExpression { private static final long serialVersionUID = 1L; protected int colNum; protected byte[] value; protected int outputColumn; @Override public void evaluate(VectorizedRowBatch batch) { if (childExpressions != null) { super.evaluateChildren(batch); } BytesColumnVector inputColVector = (BytesColumnVector) batch.cols[colNum]; LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumn]; int[] sel = batch.selected; boolean[] nullPos = inputColVector.isNull; boolean[] outNull = outputColVector.isNull; int n = batch.size; byte[][] vector = inputColVector.vector; int[] length = inputColVector.length; int[] start = inputColVector.start; long[] outVector = outputColVector.vector; // return immediately if batch is empty if (n == 0) { return; } outputColVector.isRepeating = false; if (inputColVector.noNulls) { outputColVector.noNulls = true; if (inputColVector.isRepeating) { outputColVector.isRepeating = true; if (StringExpr.compare(value, 0, value.length, vector[0], start[0], length[0]) 0) { outVector[0] = 1; } else { outVector[0] = 0; } } else if (batch.selectedInUse) { for(int j=0; j != n; j++) { int i = sel[j]; if (StringExpr.compare(value, 0, value.length, vector[i], start[i], length[i]) 0) { outVector[i] = 1; } else { outVector[i] = 0; } } } else { for(int i = 0; i != n; i++) { if (StringExpr.compare(value, 0, value.length, vector[i], start[i], length[i]) 0) { outVector[i] = 1; } else { outVector[i] = 0; } } } } else { outputColVector.noNulls = false; if (inputColVector.isRepeating) { outputColVector.isRepeating = true; outNull[0] = nullPos[0]; if (!nullPos[0]) { if (StringExpr.compare(value, 0, value.length, vector[0], start[0], length[0]) 0) { outVector[0] = 1; } else { outVector[0] = 0; } } } else if (batch.selectedInUse) { for(int j=0; j != n; j++) { int i = sel[j]; outNull[i] = nullPos[i]; if (!nullPos[i]) { if (StringExpr.compare(value, 0, value.length, vector[i], start[i], length[i]) 0) { outVector[i] = 1; } else { outVector[i] = 0; } } } } else { for(int i = 0; i != n; i++) { outNull[i] = nullPos[i]; if (!nullPos[i]) { if (StringExpr.compare(value, 0, value.length, vector[i], start[i], length[i]) 0) { outVector[i] = 1; } else { outVector[i] = 0; } } } } } } @Override public int getOutputColumn() { return outputColumn; } @Override public String getOutputType() { return "boolean"; } public int getColNum() { return colNum; } public void setColNum(int colNum) { this.colNum = colNum; } public byte[] getValue() { return value; } public void setValue(byte[] value) { this.value = value; } public void setOutputColumn(int outputColumn) { this.outputColumn = outputColumn; } }