blob: fd18f94b26734350ebfee27b50462cf805bda1c1 [file] [log] [blame]
/*
* Copyright (c) 2013 DataTorrent, Inc. ALL Rights Reserved.
*
* Licensed 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 javax.validation.constraints.Min;
import org.apache.commons.lang.mutable.MutableDouble;
import com.datatorrent.api.DefaultInputPort;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.lib.util.BaseNumberKeyValueOperator;
/**
* Operator stores <key,value> pair in hash map across the windows for comparison and emits hash map of <key,percent change in value for each key> if percent change
* exceeds preset threshold.
* <p>
*
* StateFull : Yes, key/value pair in current window are stored for comparison in next window. <br>
* Partition : No, will yield wrong result, base value won't be consistent across instances. <br>
*
* <b>Ports</b>:<br>
* <b>data</b>: expects Map&lt;K,V extends Number&gt;<br>
* <b>alert</b>: emits HashMap&lt;K,HashMap&lt;V,Double&gt;&gt;(1)<br>
* <br>
* <b>Properties</b>:<br>
* <b>threshold</b>: The threshold of change between consecutive tuples of the same key that triggers an alert tuple<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>
* @displayName Change Alert Map
* @category Math
* @tags change, key value, numeric, percentage, map
* @since 0.3.2
*/
public class ChangeAlertMap<K, V extends Number> extends BaseNumberKeyValueOperator<K, V>
{
/**
* Input data port that takes a map of &lt;key,value&gt;.
*/
public final transient DefaultInputPort<Map<K, V>> data = new DefaultInputPort<Map<K, V>>()
{
/**
* Process each key, compute change or percent, and emits it.
*/
@Override
public void process(Map<K, V> tuple)
{
for (Map.Entry<K, V> e: tuple.entrySet()) {
MutableDouble val = basemap.get(e.getKey());
if (!doprocessKey(e.getKey())) {
continue;
}
if (val == null) { // Only process keys that are in the basemap
val = new MutableDouble(e.getValue().doubleValue());
basemap.put(cloneKey(e.getKey()), val);
continue;
}
double change = e.getValue().doubleValue() - val.doubleValue();
double percent = (change/val.doubleValue())*100;
if (percent < 0.0) {
percent = 0.0 - percent;
}
if (percent > percentThreshold) {
HashMap<V,Double> dmap = new HashMap<V,Double>(1);
dmap.put(cloneValue(e.getValue()), percent);
HashMap<K,HashMap<V,Double>> otuple = new HashMap<K,HashMap<V,Double>>(1);
otuple.put(cloneKey(e.getKey()), dmap);
alert.emit(otuple);
}
val.setValue(e.getValue().doubleValue());
}
}
};
// Default "pass through" unifier works as tuple is emitted as pass through
/**
* Output port which emits a hashmap of key, percentage change.
*/
public final transient DefaultOutputPort<HashMap<K, HashMap<V,Double>>> alert = new DefaultOutputPort<HashMap<K, HashMap<V,Double>>>();
/**
* basemap is a statefull field. It is retained across windows
*/
private HashMap<K,MutableDouble> basemap = new HashMap<K,MutableDouble>();
@Min(1)
private double percentThreshold = 0.0;
/**
* getter function for threshold value
* @return threshold value
*/
@Min(1)
public double getPercentThreshold()
{
return percentThreshold;
}
/**
* setter function for threshold value
*/
public void setPercentThreshold(double d)
{
percentThreshold = d;
}
}