/** * 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.hadoop.mapreduce.lib.aggregate; import org.apache.hadoop.io.Text; import java.util.ArrayList; import java.util.Map.Entry; public class AggregatorTests extends ValueAggregatorBaseDescriptor { public ArrayList<Entry<Text, Text>> generateKeyValPairs(Object key, Object val) { ArrayList<Entry<Text, Text>> retv = new ArrayList<Entry<Text, Text>>(); String [] words = val.toString().split(" "); String countType; String id; Entry<Text, Text> e; for (String word: words) { long numVal = Long.parseLong(word); countType = LONG_VALUE_SUM; id = "count_" + word; e = generateEntry(countType, id, ONE); if (e != null) { retv.add(e); } countType = LONG_VALUE_MAX; id = "max"; e = generateEntry(countType, id, new Text(word)); if (e != null) { retv.add(e); } countType = LONG_VALUE_MIN; id = "min"; e = generateEntry(countType, id, new Text(word)); if (e != null) { retv.add(e); } countType = STRING_VALUE_MAX; id = "value_as_string_max"; e = generateEntry(countType, id, new Text(""+numVal)); if (e != null) { retv.add(e); } countType = STRING_VALUE_MIN; id = "value_as_string_min"; e = generateEntry(countType, id, new Text(""+numVal)); if (e != null) { retv.add(e); } countType = UNIQ_VALUE_COUNT; id = "uniq_count"; e = generateEntry(countType, id, new Text(word)); if (e != null) { retv.add(e); } countType = VALUE_HISTOGRAM; id = "histogram"; e = generateEntry(countType, id, new Text(word)); if (e != null) { retv.add(e); } } return retv; } }