| /** |
| * 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.pinot.core.operator.transform.function; |
| |
| import java.util.List; |
| import java.util.Map; |
| import org.apache.pinot.core.operator.blocks.ProjectionBlock; |
| import org.apache.pinot.core.operator.transform.TransformResultMetadata; |
| import org.apache.pinot.segment.spi.datasource.DataSource; |
| |
| |
| /** |
| * The ArraySumTransformFunction class implements arraySum function for multi-valued columns |
| * |
| * Sample queries: |
| * SELECT COUNT(*) FROM table WHERE arraySum(mvColumn) > 2 |
| * SELECT COUNT(*) FROM table GROUP BY arraySum(mvColumn) |
| * SELECT SUM(arraySum(mvColumn)) FROM table |
| */ |
| public class ArraySumTransformFunction extends BaseTransformFunction { |
| public static final String FUNCTION_NAME = "arraySum"; |
| |
| private double[] _results; |
| private TransformFunction _argument; |
| |
| @Override |
| public String getName() { |
| return FUNCTION_NAME; |
| } |
| |
| @Override |
| public void init(List<TransformFunction> arguments, Map<String, DataSource> dataSourceMap) { |
| // Check that there is only 1 argument |
| if (arguments.size() != 1) { |
| throw new IllegalArgumentException("Exactly 1 argument is required for ArraySum transform function"); |
| } |
| |
| // Check that the argument is a multi-valued column or transform function |
| TransformFunction firstArgument = arguments.get(0); |
| if (firstArgument instanceof LiteralTransformFunction || firstArgument.getResultMetadata().isSingleValue()) { |
| throw new IllegalArgumentException( |
| "The argument of ArraySum transform function must be a multi-valued column or a transform function"); |
| } |
| if (!firstArgument.getResultMetadata().getDataType().getStoredType().isNumeric()) { |
| throw new IllegalArgumentException("The argument of ArraySum transform function must be numeric"); |
| } |
| _argument = firstArgument; |
| } |
| |
| @Override |
| public TransformResultMetadata getResultMetadata() { |
| return DOUBLE_SV_NO_DICTIONARY_METADATA; |
| } |
| |
| @Override |
| public double[] transformToDoubleValuesSV(ProjectionBlock projectionBlock) { |
| int length = projectionBlock.getNumDocs(); |
| |
| if (_results == null || _results.length < length) { |
| _results = new double[length]; |
| } |
| |
| double[][] doubleValuesMV = _argument.transformToDoubleValuesMV(projectionBlock); |
| for (int i = 0; i < length; i++) { |
| double sumRes = 0; |
| for (double value : doubleValuesMV[i]) { |
| sumRes += value; |
| } |
| _results[i] = sumRes; |
| } |
| return _results; |
| } |
| } |