/** * 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.DecimalColumnVector; import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor; import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; /** * Generated from template FilterDecimalColumnCompareColumn.txt, which covers binary comparison * filter expressions between two columns. Output is not produced in a separate column. * The selected vector of the input {@link VectorizedRowBatch} is updated for in-place filtering. */ public class extends VectorExpression { private static final long serialVersionUID = 1L; private int colNum1; private int colNum2; public (int colNum1, int colNum2) { this.colNum1 = colNum1; this.colNum2 = colNum2; } public () { } @Override public void evaluate(VectorizedRowBatch batch) { if (childExpressions != null) { super.evaluateChildren(batch); } DecimalColumnVector inputColVector1 = (DecimalColumnVector) batch.cols[colNum1]; DecimalColumnVector inputColVector2 = (DecimalColumnVector) batch.cols[colNum2]; int[] sel = batch.selected; boolean[] nullPos1 = inputColVector1.isNull; boolean[] nullPos2 = inputColVector2.isNull; int n = batch.size; HiveDecimalWritable[] vector1 = inputColVector1.vector; HiveDecimalWritable[] vector2 = inputColVector2.vector; // return immediately if batch is empty if (n == 0) { return; } // handle case where neither input has nulls if (inputColVector1.noNulls && inputColVector2.noNulls) { if (inputColVector1.isRepeating && inputColVector2.isRepeating) { /* Either all must remain selected or all will be eliminated. * Repeating property will not change. */ if (!(vector1[0].compareTo(vector2[0]) 0)) { batch.size = 0; } } else if (inputColVector1.isRepeating) { if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (vector1[0].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (vector1[0].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } else if (inputColVector2.isRepeating) { if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (vector1[i].compareTo(vector2[0]) 0) { sel[newSize++] = i; } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (vector1[i].compareTo(vector2[0]) 0) { sel[newSize++] = i; } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } else if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (vector1[i].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (vector1[i].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } // handle case where only input 2 has nulls } else if (inputColVector1.noNulls) { if (inputColVector1.isRepeating && inputColVector2.isRepeating) { if (nullPos2[0] || !(vector1[0].compareTo(vector2[0]) 0)) { batch.size = 0; } } else if (inputColVector1.isRepeating) { // no need to check for nulls in input 1 if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (!nullPos2[i]) { if (vector1[0].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (!nullPos2[i]) { if (vector1[0].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } else if (inputColVector2.isRepeating) { if (nullPos2[0]) { // no values will qualify because every comparison will be with NULL batch.size = 0; return; } if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (vector1[i].compareTo(vector2[0]) 0) { sel[newSize++] = i; } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (vector1[i].compareTo(vector2[0]) 0) { sel[newSize++] = i; } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } else { // neither input is repeating if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (!nullPos2[i]) { if (vector1[i].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (!nullPos2[i]) { if (vector1[i].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } // handle case where only input 1 has nulls } else if (inputColVector2.noNulls) { if (inputColVector1.isRepeating && inputColVector2.isRepeating) { if (nullPos1[0] || !(vector1[0].compareTo(vector2[0]) 0)) { batch.size = 0; return; } } else if (inputColVector1.isRepeating) { if (nullPos1[0]) { // if repeating value is null then every comparison will fail so nothing qualifies batch.size = 0; return; } if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (vector1[0].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (vector1[0].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } else if (inputColVector2.isRepeating) { if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (!nullPos1[i]) { if (vector1[i].compareTo(vector2[0]) 0) { sel[newSize++] = i; } } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (!nullPos1[i]) { if (vector1[i].compareTo(vector2[0]) 0) { sel[newSize++] = i; } } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } else { // neither input is repeating if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (!nullPos1[i]) { if (vector1[i].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (!nullPos1[i]) { if (vector1[i].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } // handle case where both inputs have nulls } else { if (inputColVector1.isRepeating && inputColVector2.isRepeating) { if (nullPos1[0] || nullPos2[0] || !(vector1[0].compareTo(vector2[0]) 0)) { batch.size = 0; } } else if (inputColVector1.isRepeating) { if (nullPos1[0]) { batch.size = 0; return; } if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (!nullPos2[i]) { if (vector1[0].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (!nullPos2[i]) { if (vector1[0].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } else if (inputColVector2.isRepeating) { if (nullPos2[0]) { batch.size = 0; return; } if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (!nullPos1[i]) { if (vector1[i].compareTo(vector2[0]) 0) { sel[newSize++] = i; } } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (!nullPos1[i]) { if (vector1[i].compareTo(vector2[0]) 0) { sel[newSize++] = i; } } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } else { // neither input is repeating if (batch.selectedInUse) { int newSize = 0; for(int j = 0; j != n; j++) { int i = sel[j]; if (!nullPos1[i] && !nullPos2[i]) { if (vector1[i].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } batch.size = newSize; } else { int newSize = 0; for(int i = 0; i != n; i++) { if (!nullPos1[i] && !nullPos2[i]) { if (vector1[i].compareTo(vector2[i]) 0) { sel[newSize++] = i; } } } if (newSize < batch.size) { batch.size = newSize; batch.selectedInUse = true; } } } } } @Override public String getOutputType() { return "boolean"; } @Override public int getOutputColumn() { return -1; } @Override public VectorExpressionDescriptor.Descriptor getDescriptor() { return (new VectorExpressionDescriptor.Builder()) .setMode( VectorExpressionDescriptor.Mode.FILTER) .setNumArguments(2) .setArgumentTypes( VectorExpressionDescriptor.ArgumentType.getType("decimal"), VectorExpressionDescriptor.ArgumentType.getType("decimal")) .setInputExpressionTypes( VectorExpressionDescriptor.InputExpressionType.COLUMN, VectorExpressionDescriptor.InputExpressionType.COLUMN).build(); } }