/** * 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 java.sql.Timestamp; import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; import org.apache.hadoop.hive.ql.exec.vector.TimestampColumnVector; import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor; /** * Compute IF(expr1, expr2, expr3) for 3 input column expressions. * The first is always a boolean (LongColumnVector). * The second is a column or non-constant expression result. * The third is a constant value. */ public abstract class IfExprTimestampScalarColumnBase extends VectorExpression { private static final long serialVersionUID = 1L; private int arg1Column, arg3Column; private Timestamp arg2Scalar; private int outputColumn; public IfExprTimestampScalarColumnBase(int arg1Column, Timestamp arg2Scalar, int arg3Column, int outputColumn) { this.arg1Column = arg1Column; this.arg2Scalar = arg2Scalar; this.arg3Column = arg3Column; this.outputColumn = outputColumn; } public IfExprTimestampScalarColumnBase() { } @Override public void evaluate(VectorizedRowBatch batch) { if (childExpressions != null) { super.evaluateChildren(batch); } LongColumnVector arg1ColVector = (LongColumnVector) batch.cols[arg1Column]; TimestampColumnVector arg3ColVector = (TimestampColumnVector) batch.cols[arg3Column]; TimestampColumnVector outputColVector = (TimestampColumnVector) batch.cols[outputColumn]; int[] sel = batch.selected; boolean[] outputIsNull = outputColVector.isNull; outputColVector.noNulls = arg3ColVector.noNulls; // nulls can only come from arg3 column vector outputColVector.isRepeating = false; // may override later int n = batch.size; long[] vector1 = arg1ColVector.vector; // return immediately if batch is empty if (n == 0) { return; } if (arg1ColVector.isRepeating) { if (vector1[0] == 1) { outputColVector.fill(arg2Scalar); } else { arg3ColVector.copySelected(batch.selectedInUse, sel, n, outputColVector); } return; } // Extend any repeating values and noNulls indicator in the inputs to // reduce the number of code paths needed below. // This could be optimized in the future by having separate paths // for when arg3ColVector is repeating or has no nulls. arg3ColVector.flatten(batch.selectedInUse, sel, n); if (arg1ColVector.noNulls) { if (batch.selectedInUse) { for(int j = 0; j != n; j++) { int i = sel[j]; outputColVector.set(i, vector1[i] == 1 ? arg2Scalar : arg3ColVector.asScratchTimestamp(i)); } } else { for(int i = 0; i != n; i++) { outputColVector.set(i, vector1[i] == 1 ? arg2Scalar : arg3ColVector.asScratchTimestamp(i)); } } } else /* there are nulls */ { if (batch.selectedInUse) { for(int j = 0; j != n; j++) { int i = sel[j]; outputColVector.set(i, !arg1ColVector.isNull[i] && vector1[i] == 1 ? arg2Scalar : arg3ColVector.asScratchTimestamp(i)); outputIsNull[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ? false : arg3ColVector.isNull[i]); } } else { for(int i = 0; i != n; i++) { outputColVector.set(i, !arg1ColVector.isNull[i] && vector1[i] == 1 ? arg2Scalar : arg3ColVector.asScratchTimestamp(i)); outputIsNull[i] = (!arg1ColVector.isNull[i] && vector1[i] == 1 ? false : arg3ColVector.isNull[i]); } } } // restore repeating and no nulls indicators arg3ColVector.unFlatten(); } @Override public int getOutputColumn() { return outputColumn; } @Override public String getOutputType() { return "timestamp"; } @Override public String vectorExpressionParameters() { return "col " + arg1Column + ", val "+ arg2Scalar + ", col "+ arg3Column; } }