/**
* 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.alipay.dw.jstorm.example.window;
import java.util.List;
import java.util.Map;
import org.apache.storm.starter.bolt.PrinterBolt;
import org.apache.storm.starter.bolt.SlidingWindowSumBolt;
import org.apache.storm.starter.spout.RandomIntegerSpout;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.alibaba.starter.utils.Assert;
import com.alibaba.starter.utils.JStormHelper;
import backtype.storm.Config;
import backtype.storm.task.OutputCollector;
import backtype.storm.task.TopologyContext;
import backtype.storm.topology.OutputFieldsDeclarer;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.topology.base.BaseWindowedBolt;
import backtype.storm.topology.base.BaseWindowedBolt.Count;
import backtype.storm.tuple.Fields;
import backtype.storm.tuple.Tuple;
import backtype.storm.tuple.Values;
import backtype.storm.windowing.TupleWindow;
/**
* A sample topology that demonstrates the usage of
* {@link org.apache.storm.topology.IWindowedBolt} to calculate sliding window
* sum.
*/
public class SlidingWindowTopology {
private static final Logger LOG = LoggerFactory.getLogger(SlidingWindowTopology.class);
/*
* Computes tumbling window average
*/
private static class TumblingWindowAvgBolt extends BaseWindowedBolt {
private OutputCollector collector;
@Override
public void prepare(Map stormConf, TopologyContext context, OutputCollector collector) {
this.collector = collector;
}
@Override
public void execute(TupleWindow inputWindow) {
int sum = 0;
List<Tuple> tuplesInWindow = inputWindow.get();
LOG.debug("Events in current window: " + tuplesInWindow.size());
if (tuplesInWindow.size() > 0) {
/*
* Since this is a tumbling window calculation, we use all the
* tuples in the window to compute the avg.
*/
for (Tuple tuple : tuplesInWindow) {
sum += (int) tuple.getValue(0);
}
collector.emit(new Values(sum / tuplesInWindow.size()));
}
}
@Override
public void declareOutputFields(OutputFieldsDeclarer declarer) {
declarer.declare(new Fields("avg"));
}
}
static boolean isLocal = true;
static Config conf = JStormHelper.getConfig(null);
public static void test() {
String[] className = Thread.currentThread().getStackTrace()[1].getClassName().split("\\.");
String topologyName = className[className.length - 1];
try {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("integer", new RandomIntegerSpout(), 1);
builder.setBolt("slidingsum", new SlidingWindowSumBolt().withWindow(new Count(30), new Count(10)), 1)
.shuffleGrouping("integer");
builder.setBolt("tumblingavg", new TumblingWindowAvgBolt().withTumblingWindow(new Count(3)), 1)
.shuffleGrouping("slidingsum");
builder.setBolt("printer", new PrinterBolt(), 1).shuffleGrouping("tumblingavg");
conf.setDebug(true);
JStormHelper.runTopology(builder.createTopology(), topologyName, conf, 60,
new JStormHelper.CheckAckedFail(conf), isLocal);
} catch (Exception e) {
// TODO Auto-generated catch block
e.fillInStackTrace();
Assert.fail("Failed to submit topology");
}
}
public static void main(String[] args) throws Exception {
isLocal = false;
conf = JStormHelper.getConfig(args);
test();
}
}