/*
* 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.pig.test.udf.evalfunc;
import java.io.IOException;
import java.util.StringTokenizer;
import org.apache.pig.EvalFunc;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.DefaultBagFactory;
import org.apache.pig.data.Tuple;
import org.apache.pig.data.DefaultTupleFactory;
import org.apache.pig.impl.logicalLayer.schema.Schema;
import org.apache.pig.data.DataType;
import org.apache.pig.PigWarning;
public class TestWarningFunc extends EvalFunc<Double>
{
//@Override
public Double exec(Tuple input) throws IOException
{
if (input == null || input.size() == 0) {
pigLogger.warn(this, "Input is empty.", PigWarning.UDF_WARNING_1);
return null;
}
Double output = null;
boolean accumulated = false;
try {
for(int i = 0; i < input.size(); ++i) {
Object o = input.get(i);
byte inputType = DataType.findType(o);
if(DataType.isNumberType(inputType)) {
if(!accumulated) {
output = 0.0;
accumulated = true;
}
switch(inputType) {
case DataType.INTEGER:
output += (Integer)o;
break;
case DataType.LONG:
output += (Long)o;
break;
case DataType.FLOAT:
output += (Float)o;
break;
case DataType.DOUBLE:
output += (Double)o;
break;
}
} else {
pigLogger.warn(this, "Found a non-numeric type.", PigWarning.UDF_WARNING_3);
}
}
} catch(Exception e){
pigLogger.warn(this, "Problem while computing output.", PigWarning.UDF_WARNING_2);
return null;
}
if(!accumulated) {
pigLogger.warn(this, "Did not find any numeric type in the input.", PigWarning.UDF_WARNING_4);
}
return output;
}
@Override
public Schema outputSchema(Schema input) {
return new Schema(new Schema.FieldSchema(getSchemaName("output", input), DataType.DOUBLE));
}
}