com.datatorrent.lib.logs.MultiWindowDimensionAggregation Maven / Gradle / Ivy
/**
* 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.logs;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import javax.validation.constraints.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.commons.lang.mutable.MutableDouble;
import com.datatorrent.api.Context.OperatorContext;
import com.datatorrent.api.DefaultInputPort;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.api.Operator;
import com.datatorrent.lib.util.KeyValPair;
/**
* This class aggregates the value of given dimension across windows.
*
* @displayName Multi Window Dimension Aggregation
* @category Stats and Aggregations
* @tags aggregation
*
* @since 0.3.4
*/
public class MultiWindowDimensionAggregation implements Operator
{
@SuppressWarnings("unused")
private static final Logger logger = LoggerFactory.getLogger(MultiWindowDimensionAggregation.class);
public enum AggregateOperation
{
SUM, AVERAGE
}
private int windowSize = 2;
private int currentWindow = 0;
private String timeBucket = "m";
private String dimensionKeyVal = "0";
private List dimensionArrayString;
@NotNull
private List dimensionArray;
private AggregateOperation operationType = AggregateOperation.SUM;
private Map>> outputMap;
private Map>> cacheOject;
private transient List patternList;
private transient int applicationWindowSize = 500;
/**
* This is the output port which emits aggregated dimensions.
*/
public final transient DefaultOutputPort>> output = new DefaultOutputPort>>();
/**
* This is the input port which receives multi dimensional data.
*/
public final transient DefaultInputPort>> data = new DefaultInputPort>>()
{
@Override
public void process(Map> tuple)
{
cacheOject.put(currentWindow, tuple);
for (Map.Entry> tupleEntry : tuple.entrySet()) {
String tupleKey = tupleEntry.getKey();
Map tupleValue = tupleEntry.getValue();
int currentPattern = 0;
for (Pattern pattern : patternList) {
Matcher matcher = pattern.matcher(tupleKey);
if (matcher.matches()) {
String currentPatternString = dimensionArrayString.get(currentPattern);
Map> currentPatternMap = outputMap.get(currentPatternString);
if (currentPatternMap == null) {
currentPatternMap = new HashMap>();
outputMap.put(currentPatternString, currentPatternMap);
}
StringBuilder builder = new StringBuilder(matcher.group(2));
for (int i = 1; i < dimensionArray.get(currentPattern).length; i++) {
builder.append("," + matcher.group(i + 2));
}
KeyValPair currentDimensionKeyValPair = currentPatternMap.get(builder.toString());
if (currentDimensionKeyValPair == null) {
currentDimensionKeyValPair = new KeyValPair(new MutableDouble(tupleValue.get(dimensionKeyVal)), 1);
currentPatternMap.put(builder.toString(), currentDimensionKeyValPair);
} else {
currentDimensionKeyValPair.getKey().add(tupleValue.get(dimensionKeyVal));
currentDimensionKeyValPair.setValue(currentDimensionKeyValPair.getValue() + 1);
}
break;
}
currentPattern++;
}
}
}
};
public String getDimensionKeyVal()
{
return dimensionKeyVal;
}
public void setDimensionKeyVal(String dimensionKeyVal)
{
this.dimensionKeyVal = dimensionKeyVal;
}
public String getTimeBucket()
{
return timeBucket;
}
public void setTimeBucket(String timeBucket)
{
this.timeBucket = timeBucket;
}
public List getDimensionArray()
{
return dimensionArray;
}
public void setDimensionArray(List dimensionArray)
{
this.dimensionArray = dimensionArray;
dimensionArrayString = new ArrayList();
for (int[] e : dimensionArray) {
StringBuilder builder = new StringBuilder("" + e[0]);
for (int i = 1; i < e.length; i++) {
builder.append("," + e[i]);
}
dimensionArrayString.add(builder.toString());
}
}
public int getWindowSize()
{
return windowSize;
}
public void setWindowSize(int windowSize)
{
this.windowSize = windowSize;
}
@Override
public void setup(OperatorContext arg0)
{
if (arg0 != null) {
applicationWindowSize = arg0.getValue(OperatorContext.APPLICATION_WINDOW_COUNT);
}
if (cacheOject == null) {
cacheOject = new HashMap>>(windowSize);
}
if (outputMap == null) {
outputMap = new HashMap>>();
}
setUpPatternList();
}
private void setUpPatternList()
{
patternList = new ArrayList();
for (int[] e : dimensionArray) {
Pattern pattern;
StringBuilder builder = new StringBuilder(timeBucket + "\\|(\\d+)");
for (int i = 0; i < e.length; i++) {
builder.append("\\|" + e[i] + ":([^\\|]+)");
}
pattern = Pattern.compile(builder.toString());
patternList.add(pattern);
}
}
@Override
public void teardown()
{
}
@Override
public void beginWindow(long arg0)
{
Map> currentWindowMap = cacheOject.get(currentWindow);
if (currentWindowMap == null) {
currentWindowMap = new HashMap>();
} else {
for (Map.Entry> tupleEntry : currentWindowMap.entrySet()) {
String tupleKey = tupleEntry.getKey();
Map tupleValue = tupleEntry.getValue();
int currentPattern = 0;
for (Pattern pattern : patternList) {
Matcher matcher = pattern.matcher(tupleKey);
if (matcher.matches()) {
String currentPatternString = dimensionArrayString.get(currentPattern);
Map> currentPatternMap = outputMap.get(currentPatternString);
if (currentPatternMap != null) {
StringBuilder builder = new StringBuilder(matcher.group(2));
for (int i = 1; i < dimensionArray.get(currentPattern).length; i++) {
builder.append("," + matcher.group(i + 2));
}
KeyValPair currentDimensionKeyValPair = currentPatternMap.get(builder.toString());
if (currentDimensionKeyValPair != null) {
currentDimensionKeyValPair.getKey().add(0 - tupleValue.get(dimensionKeyVal).doubleValue());
currentDimensionKeyValPair.setValue(currentDimensionKeyValPair.getValue() - 1);
if (currentDimensionKeyValPair.getKey().doubleValue() == 0.0) {
currentPatternMap.remove(builder.toString());
}
}
}
break;
}
currentPattern++;
}
}
}
currentWindowMap.clear();
if (patternList == null || patternList.isEmpty()) {
setUpPatternList();
}
}
@Override
public void endWindow()
{
int totalWindowsOccupied = cacheOject.size();
for (Map.Entry>> e : outputMap.entrySet()) {
for (Map.Entry> dimensionValObj : e.getValue().entrySet()) {
Map> outputData = new HashMap>();
KeyValPair keyVal = dimensionValObj.getValue();
if (operationType == AggregateOperation.SUM) {
outputData.put(e.getKey(), new DimensionObject(keyVal.getKey(), dimensionValObj.getKey()));
} else if (operationType == AggregateOperation.AVERAGE) {
if (keyVal.getValue() != 0) {
double totalCount = ((double)(totalWindowsOccupied * applicationWindowSize)) / 1000;
outputData.put(e.getKey(), new DimensionObject(new MutableDouble(keyVal.getKey().doubleValue() / totalCount), dimensionValObj.getKey()));
}
}
if (!outputData.isEmpty()) {
output.emit(outputData);
}
}
}
currentWindow = (currentWindow + 1) % windowSize;
}
public AggregateOperation getOperationType()
{
return operationType;
}
public void setOperationType(AggregateOperation operationType)
{
this.operationType = operationType;
}
}
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