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/***
* 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.tajo.engine.function.hiveudf;
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.IntWritable;
import org.apache.hadoop.io.Text;
/**
* Hive UDF sample class for testing.
* Actually it's deterministic, but it is set as false to test.
*/
@UDFType(deterministic = false)
@Description(
name="multiplestr",
value = "repeat string",
extended = "multiplestr(str, num)"
)
public class HiveUDFtest extends UDF {
public Text evaluate(Text str, IntWritable num) {
String origin = str.toString();
for (int i=0; i<num.get()-1; i++) {
origin += origin;
}
return new Text(origin);
}
}