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storm自带例子详解 (五)——PrintSampleStream

2015-06-01 10:59 453 查看
/**
* 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 storm.starter;

import java.util.Arrays;

import backtype.storm.Config;
import backtype.storm.LocalCluster;
import backtype.storm.topology.TopologyBuilder;
import backtype.storm.utils.Utils;

import storm.starter.bolt.PrinterBolt;
import storm.starter.spout.TwitterSampleSpout;

/*
** 打印简单的数据流
*/
public class PrintSampleStream {
public static void main(String[] args) {
// 一系列的字符串,字符串数组
String consumerKey = args[0];
String consumerSecret = args[1];
String accessToken = args[2];
String accessTokenSecret = args[3];
String[] arguments = args.clone();
String[] keyWords = Arrays.copyOfRange(arguments, 4, arguments.length);

// 定义一个拓扑构造器
TopologyBuilder builder = new TopologyBuilder();

// 设置Spout(名为twitter)——TwitterSampleSpout类型的Spout,该Spout的数据就上上面定义的那些字符串以及字符串数组
builder.setSpout("twitter", new TwitterSampleSpout(consumerKey, consumerSecret,
accessToken, accessTokenSecret, keyWords));
// 设置Bolt(名为print)——PrintBolt类型的Bolt,接收twitter(Spout)的数据
builder.setBolt("print", new PrinterBolt())
.shuffleGrouping("twitter");

Config conf = new Config();

// 创建本地集群
LocalCluster cluster = new LocalCluster();

// 提交拓扑
cluster.submitTopology("test", conf, builder.createTopology());

// 睡眠一段时间
Utils.sleep(10000);

// 关闭本地集群,然后清理资源
cluster.shutdown();
}
}
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