/* * 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)); } }