Java tutorial
/** * 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 com.datatorrent.lib.math; import java.util.HashMap; import java.util.Map; import org.apache.commons.lang.mutable.MutableDouble; import com.datatorrent.api.DefaultInputPort; import com.datatorrent.api.DefaultOutputPort; import com.datatorrent.lib.util.BaseNumberKeyValueOperator; import com.datatorrent.lib.util.UnifierHashMap; /** * * This operator adds all values for each key in "numerator" and "denominator", and emits the margin for each key at the end of window. * <p> * Margin is calculated as 1 - SUM(numerator)/SUM(denominator). * <br>The values are added for each key within the window and for each stream.<br> * <br> * <b>Ports</b>:<br> * <b>numerator</b>: expects Map<K,V><br> * <b>denominator</b>: expects Map<K,V><br> * <b>margin</b>: emits HashMap<K,Double>, one entry per key per window<br> * <br> * <b>Properties</b>:<br> * <b>inverse</b>: if set to true the key in the filter will block tuple<br> * <b>filterBy</b>: List of keys to filter on<br> * <br> * @displayName Margin Map * @category Math * @tags sum, division, numeric, map * @since 0.3.2 */ public class MarginMap<K, V extends Number> extends BaseNumberKeyValueOperator<K, V> { /** * Numerator input port that takes a map. */ public final transient DefaultInputPort<Map<K, V>> numerator = new DefaultInputPort<Map<K, V>>() { /** * Adds tuple to the numerator hash */ @Override public void process(Map<K, V> tuple) { addTuple(tuple, numerators); } }; /** * Denominator input port that takes a map. */ public final transient DefaultInputPort<Map<K, V>> denominator = new DefaultInputPort<Map<K, V>>() { /** * Adds tuple to the denominator hash */ @Override public void process(Map<K, V> tuple) { addTuple(tuple, denominators); } }; /** * Adds the value for each key. * @param tuple * @param map */ public void addTuple(Map<K, V> tuple, Map<K, MutableDouble> map) { for (Map.Entry<K, V> e : tuple.entrySet()) { if (!doprocessKey(e.getKey()) || (e.getValue() == null)) { continue; } MutableDouble val = map.get(e.getKey()); if (val == null) { val = new MutableDouble(0.0); map.put(cloneKey(e.getKey()), val); } val.add(e.getValue().doubleValue()); } } /* * Output margin port that emits hashmap. */ public final transient DefaultOutputPort<HashMap<K, V>> margin = new DefaultOutputPort<HashMap<K, V>>() { @Override public Unifier<HashMap<K, V>> getUnifier() { return new UnifierHashMap<K, V>(); } }; protected HashMap<K, MutableDouble> numerators = new HashMap<K, MutableDouble>(); protected HashMap<K, MutableDouble> denominators = new HashMap<K, MutableDouble>(); boolean percent = false; /** * getter function for percent * @return percent */ public boolean getPercent() { return percent; } /** * setter function for percent * @param val sets percent */ public void setPercent(boolean val) { percent = val; } /** * Generates tuples for each key and emits them. Only keys that are in the denominator are iterated on * If the key is only in the numerator, it gets ignored (cannot do divide by 0) * Clears internal data */ @Override public void endWindow() { HashMap<K, V> tuples = new HashMap<K, V>(); Double val; for (Map.Entry<K, MutableDouble> e : denominators.entrySet()) { MutableDouble nval = numerators.get(e.getKey()); if (nval == null) { nval = new MutableDouble(0.0); } else { numerators.remove(e.getKey()); // so that all left over keys can be reported } if (percent) { val = (1 - nval.doubleValue() / e.getValue().doubleValue()) * 100; } else { val = 1 - nval.doubleValue() / e.getValue().doubleValue(); } tuples.put(e.getKey(), getValue(val.doubleValue())); } if (!tuples.isEmpty()) { margin.emit(tuples); } numerators.clear(); denominators.clear(); } }