/* * 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.LongColumnVector; import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor; import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; /** * Compute IF(expr1, expr2, expr3) for 3 input column expressions. * The first is always a boolean (LongColumnVector). * The second and third are long columns or long expression results. */ public class IfExprLongColumnLongColumn extends VectorExpression { private static final long serialVersionUID = 1L; private int arg1Column, arg2Column, arg3Column; private int outputColumn; public IfExprLongColumnLongColumn(int arg1Column, int arg2Column, int arg3Column, int outputColumn) { this.arg1Column = arg1Column; this.arg2Column = arg2Column; this.arg3Column = arg3Column; this.outputColumn = outputColumn; } public IfExprLongColumnLongColumn() { } @Override public void evaluate(VectorizedRowBatch batch) { if (childExpressions != null) { super.evaluateChildren(batch); } LongColumnVector arg1ColVector = (LongColumnVector) batch.cols[arg1Column]; LongColumnVector arg2ColVector = (LongColumnVector) batch.cols[arg2Column]; LongColumnVector arg3ColVector = (LongColumnVector) batch.cols[arg3Column]; LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumn]; int[] sel = batch.selected; boolean[] outputIsNull = outputColVector.isNull; outputColVector.noNulls = arg2ColVector.noNulls && arg3ColVector.noNulls; outputColVector.isRepeating = false; // may override later int n = batch.size; long[] vector1 = arg1ColVector.vector; long[] vector2 = arg2ColVector.vector; long[] vector3 = arg3ColVector.vector; long[] outputVector = outputColVector.vector; // return immediately if batch is empty if (n == 0) { return; } /* All the code paths below propagate nulls even if neither arg2 nor arg3 * have nulls. This is to reduce the number of code paths and shorten the * code, at the expense of maybe doing unnecessary work if neither input * has nulls. This could be improved in the future by expanding the number * of code paths. */ if (arg1ColVector.isRepeating) { if (vector1[0] == 1) { arg2ColVector.copySelected(batch.selectedInUse, sel, n, outputColVector); } else { arg3ColVector.copySelected(batch.selectedInUse, sel, n, outputColVector); } return; } // extend any repeating values and noNulls indicator in the inputs arg2ColVector.flatten(batch.selectedInUse, sel, n); arg3ColVector.flatten(batch.selectedInUse, sel, n); if (arg1ColVector.noNulls) { if (batch.selectedInUse) { for(int j = 0; j != n; j++) { int i = sel[j]; outputVector[i] = (~(vector1[i] - 1) & vector2[i]) | ((vector1[i] - 1) & vector3[i]); outputIsNull[i] = (vector1[i] == 1 ? arg2ColVector.isNull[i] : arg3ColVector.isNull[i]); } } else { for(int i = 0; i != n; i++) { outputVector[i] = (~(vector1[i] - 1) & vector2[i]) | ((vector1[i] - 1) & vector3[i]); outputIsNull[i] = (vector1[i] == 1 ? arg2ColVector.isNull[i] : arg3ColVector.isNull[i]); } } } else /* there are nulls */ { if (batch.selectedInUse) { for(int j = 0; j != n; j++) { int i = sel[j]; outputVector[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ? vector2[i] : vector3[i]); outputIsNull[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ? arg2ColVector.isNull[i] : arg3ColVector.isNull[i]); } } else { for(int i = 0; i != n; i++) { outputVector[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ? vector2[i] : vector3[i]); outputIsNull[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ? arg2ColVector.isNull[i] : arg3ColVector.isNull[i]); } } } // restore repeating and no nulls indicators arg2ColVector.unFlatten(); arg3ColVector.unFlatten(); } @Override public int getOutputColumn() { return outputColumn; } @Override public String getOutputType() { return "long"; } public int getArg1Column() { return arg1Column; } public void setArg1Column(int colNum) { this.arg1Column = colNum; } public int getArg2Column() { return arg2Column; } public void setArg2Column(int colNum) { this.arg2Column = colNum; } public int getArg3Column() { return arg3Column; } public void setArg3Column(int colNum) { this.arg3Column = colNum; } public void setOutputColumn(int outputColumn) { this.outputColumn = outputColumn; } @Override public String vectorExpressionParameters() { return "col " + arg1Column + ", col "+ arg2Column + ", col "+ arg3Column; } @Override public VectorExpressionDescriptor.Descriptor getDescriptor() { return (new VectorExpressionDescriptor.Builder()) .setMode( VectorExpressionDescriptor.Mode.PROJECTION) .setNumArguments(3) .setArgumentTypes( VectorExpressionDescriptor.ArgumentType.getType("long"), VectorExpressionDescriptor.ArgumentType.getType("int_date_interval_year_month"), VectorExpressionDescriptor.ArgumentType.getType("int_date_interval_year_month")) .setInputExpressionTypes( VectorExpressionDescriptor.InputExpressionType.COLUMN, VectorExpressionDescriptor.InputExpressionType.COLUMN, VectorExpressionDescriptor.InputExpressionType.COLUMN).build(); } }