/** * 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; /** * This expression selects a row if the given boolean column is true. */ public class SelectColumnIsTrue extends VectorExpression { private static final long serialVersionUID = 1L; private int colNum1; public SelectColumnIsTrue(int colNum1) { this(); this.colNum1 = colNum1; } public SelectColumnIsTrue() { super(); } @Override public void evaluate(VectorizedRowBatch batch) { if (childExpressions != null) { super.evaluateChildren(batch); } LongColumnVector inputColVector1 = (LongColumnVector) batch.cols[colNum1]; int[] sel = batch.selected; int n = batch.size; long[] vector1 = inputColVector1.vector; boolean[] nullVector = inputColVector1.isNull; if (n <= 0) { // Nothing to do return; } if (inputColVector1.noNulls) { if (inputColVector1.isRepeating) { if (vector1[0] == 0) { // All are filtered out batch.size = 0; return; } else { // All are selected return; } } else if (batch.selectedInUse) { int newSize = 0; for (int j = 0; j != n; j++) { int i = sel[j]; if (vector1[i] == 1) { sel[newSize++] = i; } } batch.size = newSize; } else { int newSize = 0; for (int i = 0; i != n; i++) { if (vector1[i] == 1) { sel[newSize++] = i; } } if (newSize < n) { batch.selectedInUse = true; batch.size = newSize; } } } else { if (inputColVector1.isRepeating) { if (nullVector[0] || (vector1[0] == 0)) { // All are filtered batch.size = 0; return; } else { // All are selected return; } } else if (batch.selectedInUse) { int newSize = 0; for (int j = 0; j != n; j++) { int i = sel[j]; if (vector1[i] == 1 && !nullVector[i]) { sel[newSize++] = i; } } batch.size = newSize; } else { int newSize = 0; for (int i = 0; i != n; i++) { if (vector1[i] == 1 && !nullVector[i]) { sel[newSize++] = i; } } if (newSize < n) { batch.selectedInUse = true; batch.size = newSize; } } } } @Override public int getOutputColumn() { return -1; } @Override public String getOutputType() { return "boolean"; } public int getColNum1() { return colNum1; } public void setColNum1(int colNum1) { this.colNum1 = colNum1; } @Override public String vectorExpressionParameters() { return "col " + colNum1; } @Override public VectorExpressionDescriptor.Descriptor getDescriptor() { VectorExpressionDescriptor.Builder b = new VectorExpressionDescriptor.Builder(); b.setMode(VectorExpressionDescriptor.Mode.FILTER) .setNumArguments(1) .setArgumentTypes( VectorExpressionDescriptor.ArgumentType.INT_FAMILY) .setInputExpressionTypes( VectorExpressionDescriptor.InputExpressionType.COLUMN); return b.build(); } }