/*
* 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);
}
}