/** * 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; import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; import org.apache.hadoop.hive.ql.exec.vector.expressions.MathExpr; import org.apache.hadoop.hive.ql.exec.vector.*; public class CastTimestampToBoolean extends VectorExpression { private static final long serialVersionUID = 1L; private int colNum; private int outputColumn; public CastTimestampToBoolean(int colNum, int outputColumn) { this(); this.colNum = colNum; this.outputColumn = outputColumn; } public CastTimestampToBoolean() { super(); } private int toBool(TimestampColumnVector timestampColVector, int index) { return (timestampColVector.getTime(index) != 0 || timestampColVector.getNanos(index) != 0) ? 1 : 0; } @Override public void evaluate(VectorizedRowBatch batch) { if (childExpressions != null) { this.evaluateChildren(batch); } TimestampColumnVector inputColVector = (TimestampColumnVector) batch.cols[colNum]; LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumn]; int[] sel = batch.selected; boolean[] inputIsNull = inputColVector.isNull; boolean[] outputIsNull = outputColVector.isNull; outputColVector.noNulls = inputColVector.noNulls; int n = batch.size; long[] outputVector = outputColVector.vector; // return immediately if batch is empty if (n == 0) { return; } if (inputColVector.isRepeating) { //All must be selected otherwise size would be zero //Repeating property will not change. outputVector[0] = toBool(inputColVector, 0); // Even if there are no nulls, we always copy over entry 0. Simplifies code. outputIsNull[0] = inputIsNull[0]; outputColVector.isRepeating = true; } else if (inputColVector.noNulls) { if (batch.selectedInUse) { for(int j = 0; j != n; j++) { int i = sel[j]; outputVector[i] = toBool(inputColVector, i); } } else { for(int i = 0; i != n; i++) { outputVector[i] = toBool(inputColVector, i); } } outputColVector.isRepeating = false; } else /* there are nulls */ { if (batch.selectedInUse) { for(int j = 0; j != n; j++) { int i = sel[j]; outputVector[i] = toBool(inputColVector, i); outputIsNull[i] = inputIsNull[i]; } } else { for(int i = 0; i != n; i++) { outputVector[i] = toBool(inputColVector, i); } System.arraycopy(inputIsNull, 0, outputIsNull, 0, n); } outputColVector.isRepeating = false; } } @Override public int getOutputColumn() { return outputColumn; } @Override public String getOutputType() { return "long"; } public int getColNum() { return colNum; } public void setColNum(int colNum) { this.colNum = colNum; } public void setOutputColumn(int outputColumn) { this.outputColumn = outputColumn; } @Override public String vectorExpressionParameters() { return "col " + colNum; } @Override public VectorExpressionDescriptor.Descriptor getDescriptor() { return (new VectorExpressionDescriptor.Builder()) .setMode( VectorExpressionDescriptor.Mode.PROJECTION) .setNumArguments(1) .setArgumentTypes( VectorExpressionDescriptor.ArgumentType.getType("timestamp")) .setInputExpressionTypes( VectorExpressionDescriptor.InputExpressionType.COLUMN).build(); } }