/* * 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 hivemall.tools.text; import hivemall.utils.hadoop.WritableUtils; import java.util.List; import org.apache.hadoop.hive.ql.exec.Description; import org.apache.hadoop.hive.ql.exec.UDF; import org.apache.hadoop.hive.ql.udf.UDFType; import org.apache.hadoop.io.Text; @Description( name = "split_words", value = "_FUNC_(string query [, string regex]) - Returns an array<text> containing splitted strings") @UDFType(deterministic = true, stateful = false) public final class SplitWordsUDF extends UDF { public List<Text> evaluate(String query) { return evaluate(query, "[\\s ]+"); } public List<Text> evaluate(String query, String regex) { if (query == null) { return null; } String[] words = query.split(regex, -1); return WritableUtils.val(words); } }