public static void main(String[] args) {
TopologyBuilder builder = new TopologyBuilder();
List<String> zks = new ArrayList<String>();
zks.add("127.0.0.1");
List<String> cFs = new ArrayList<String>();
cFs.add("personal");
cFs.add("company");
builder.setSpout("hbase_spout", new HbaseSpout(), 2);
builder
.setBolt("hbase_bolt", new HbaseBolt("user", cFs, zks, 2181), 2)
.shuffleGrouping("hbase_spout");
Config config = new Config();
config.setDebug(true);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("hbase_topology", config, builder.createTopology());
try {
Thread.sleep(20000);
} catch (InterruptedException e) {
System.out.println("Thread interrupted:" + e);
}
System.out.println("stopped called...");
cluster.killTopology("hbase_topology");
cluster.shutdown();
}
@Test
public void testStorm() throws Exception {
SentenceSpout spout = new SentenceSpout();
SplitSentenceBolt splitSentenceBolt = new SplitSentenceBolt();
WordCountBolt countBolt = new WordCountBolt();
ReportBolt reportBolt = new ReportBolt();
TopologyBuilder builder = new TopologyBuilder();
// 注册一个sentence spout，并且赋予一个唯一值
builder.setSpout(SENTENCE_SPOUT_ID, spout);
// 然后注册一个SplitSentenceBolt，这个bolt订阅SentenceSpout发射出来的数据流
// 将SentenceSpout的唯一ID赋值给shuffleGrouping()方法确立了这种订阅关系
// shuffleGrouping()方法告诉storm，要将SentenceSpout发射出来的tuple随机均匀的分发给SplitSentenceBolt的实例
builder.setBolt(SPLIT_BOLT_ID, splitSentenceBolt).shuffleGrouping(SENTENCE_SPOUT_ID);
// 将含有特定数据的tuple路由到特殊的bolt实例中
// 此处使用BoltDeclarer的fieldsGrouping()方法保证所有“word”字段值相同的tuple会被路由到同一个WordCountBolt实例中
builder.setBolt(COUNT_BOLT_ID, countBolt).fieldsGrouping(SPLIT_BOLT_ID, new Fields("word"));
// 将WordCountBolt发出的所有tuple流路由到唯一的ReportBolt中，使用globalGrouping
builder.setBolt(REPORT_BOLT_ID, reportBolt).globalGrouping(COUNT_BOLT_ID);
Config config = new Config();
LocalCluster cluster = new LocalCluster();
cluster.submitTopology(TOPOLOGY_NAME, config, builder.createTopology());
Thread.sleep(10000);
cluster.killTopology(TOPOLOGY_NAME);
cluster.shutdown();
}
@Test
public void testTridentTopology() throws Exception {
Session session = cassandraCQLUnit.session;
String[] stationIds = {"station-1", "station-2", "station-3"};
for (int i = 1; i < 4; i++) {
ResultSet resultSet =
session.execute(
"INSERT INTO weather.station(id, name) VALUES(?, ?)",
stationIds[i - 1],
"Foo-Station-" + new Random().nextInt());
}
ResultSet rows = cassandraCQLUnit.session.execute("SELECT * FROM weather.station");
for (Row row : rows) {
System.out.println("####### row = " + row);
}
WeatherBatchSpout weatherBatchSpout =
new WeatherBatchSpout(
new Fields("weather_station_id", "temperature", "event_time"), 3, stationIds);
TridentTopology topology = new TridentTopology();
Stream stream = topology.newStream("cassandra-trident-stream", weatherBatchSpout);
CassandraStateFactory insertValuesStateFactory = getInsertTemperatureStateFactory();
CassandraStateFactory selectWeatherStationStateFactory = getSelectWeatherStationStateFactory();
TridentState selectState = topology.newStaticState(selectWeatherStationStateFactory);
stream =
stream.stateQuery(
selectState,
new Fields("weather_station_id"),
new CassandraQuery(),
new Fields("name"));
stream = stream.each(new Fields("name"), new PrintFunction(), new Fields("name_x"));
stream.partitionPersist(
insertValuesStateFactory,
new Fields("weather_station_id", "name", "event_time", "temperature"),
new CassandraStateUpdater(),
new Fields());
StormTopology stormTopology = topology.build();
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("wordCounter", getConfig(), stormTopology);
Thread.sleep(30 * 1000);
rows = cassandraCQLUnit.session.execute("SELECT * FROM weather.temperature");
Assert.assertTrue(rows.iterator().hasNext()); // basic sanity check
cluster.killTopology("wordCounter");
cluster.shutdown();
}
/**
* To run this topology ensure you have a kafka broker running. Create a topic test with command
* line, kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partition 1
* --topic test
*/
public static void main(String[] args) throws Exception {
String zkUrl = "localhost:2181"; // the defaults.
String brokerUrl = "localhost:9092";
if (args.length > 2 || (args.length == 1 && args[0].matches("^-h|--help$"))) {
System.out.println("Usage: TridentKafkaWordCount [kafka zookeeper url] [kafka broker url]");
System.out.println(" E.g TridentKafkaWordCount [" + zkUrl + "]" + " [" + brokerUrl + "]");
System.exit(1);
} else if (args.length == 1) {
zkUrl = args[0];
} else if (args.length == 2) {
zkUrl = args[0];
brokerUrl = args[1];
}
System.out.println("Using Kafka zookeeper url: " + zkUrl + " broker url: " + brokerUrl);
TridentKafkaWordCount wordCount = new TridentKafkaWordCount(zkUrl, brokerUrl);
LocalDRPC drpc = new LocalDRPC();
LocalCluster cluster = new LocalCluster();
// submit the consumer topology.
cluster.submitTopology(
"wordCounter", wordCount.getConsumerConfig(), wordCount.buildConsumerTopology(drpc));
// submit the producer topology.
cluster.submitTopology(
"kafkaBolt", wordCount.getProducerConfig(), wordCount.buildProducerTopology());
// keep querying the word counts for a minute.
for (int i = 0; i < 60; i++) {
System.out.println("DRPC RESULT: " + drpc.execute("words", "the and apple snow jumped"));
Thread.sleep(1000);
}
cluster.killTopology("kafkaBolt");
cluster.killTopology("wordCounter");
cluster.shutdown();
}
/**
* プログラムエントリポイント<br>
*
* <ul>
* <li>起動引数:arg[0] 設定値を記述したyamlファイルパス
* <li>起動引数:arg[1] Stormの起動モード(true:LocalMode、false:DistributeMode)
* </ul>
*
* @param args 起動引数
* @throws Exception 初期化例外発生時
*/
public static void main(String[] args) throws Exception {
// プログラム引数の不足をチェック
if (args.length < 2) {
System.out.println(
"Usage: java acromusashi.stream.example.topology.DecisionTestTopology ConfigPath isExecuteLocal(true|false)");
return;
}
// 起動引数として使用したパスからStorm設定オブジェクトを生成
Config conf = StormConfigGenerator.loadStormConfig(args[0]);
// プログラム引数から設定値を取得(ローカル環境or分散環境)
boolean isLocal = Boolean.valueOf(args[1]);
TopologyBuilder builder = new TopologyBuilder();
// Get setting from StormConfig Object
int wordSpoutPara = StormConfigUtil.getIntValue(conf, "WordSpout.Parallelism", 2);
int judgeBoltPara = StormConfigUtil.getIntValue(conf, "JudgeBolt.Parallelism", 2);
int shortWordBoltPara = StormConfigUtil.getIntValue(conf, "ShortWord.Parallelism", 2);
int longWordBoltPara = StormConfigUtil.getIntValue(conf, "LongWord.Parallelism", 2);
builder.setSpout("WordSpout", new TestWordSpout(), wordSpoutPara);
builder
.setBolt("JudgeBolt", new JudgeBolt(), judgeBoltPara)
.fieldsGrouping("WordSpout", new Fields("word"));
// ShortWordのStreamを読み込むよう定義
builder
.setBolt("ShortWord", new ShortWordBolt(), shortWordBoltPara)
.fieldsGrouping("JudgeBolt", "ShortWord", new Fields("word"));
// LongWordのStreamを読み込むよう定義
builder
.setBolt("LongWord", new LongWordBolt(), longWordBoltPara)
.fieldsGrouping("JudgeBolt", "LongWord", new Fields("word"));
if (isLocal) {
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("DecisionTest", conf, builder.createTopology());
Utils.sleep(10000000);
cluster.killTopology("DecisionTest");
cluster.shutdown();
} else {
StormSubmitter.submitTopology("DecisionTest", conf, builder.createTopology());
}
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("word", new TestWordSpout(), 10);
builder.setBolt("exclaim1", new ExclamationLoggingBolt(), 3).shuffleGrouping("word");
builder.setBolt("exclaim2", new ExclamationLoggingBolt(), 2).shuffleGrouping("exclaim1");
Config conf = new Config();
conf.setDebug(true);
if (args != null && args.length > 0) {
conf.setNumWorkers(2);
StormSubmitter.submitTopologyWithProgressBar(args[0], conf, builder.createTopology());
} else {
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("test", conf, builder.createTopology());
Utils.sleep(10000);
cluster.killTopology("test");
cluster.shutdown();
}
}
public static void main(String[] args) throws Exception {
Config config = new Config();
config.setDebug(false);
LocalDRPC drpc = new LocalDRPC();
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("internet-radio-play-stats", config, TopologyBuilder.buildLocal(drpc));
// Utils.sleep(ONE_MINUTE);
String result = drpc.execute("count-request-by-tag", "Classic Rock,Punk,Post Punk");
System.out.println("RESULTS");
System.out.println(
"==========================================================================");
System.out.println(result);
System.out.println(
"==========================================================================");
cluster.killTopology("internet-radio-play-stats");
cluster.shutdown();
drpc.shutdown();
}
public static void main(String[] args) throws Exception {
Config config = new Config();
String host = TEST_REDIS_HOST;
int port = TEST_REDIS_PORT;
if (args.length >= 2) {
host = args[0];
port = Integer.parseInt(args[1]);
}
JedisPoolConfig poolConfig = new JedisPoolConfig.Builder().setHost(host).setPort(port).build();
WordSpout spout = new WordSpout();
WordCounter bolt = new WordCounter();
StoreCountRedisBolt redisBolt = new StoreCountRedisBolt(poolConfig);
// wordSpout ==> countBolt ==> RedisBolt
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout(WORD_SPOUT, spout, 1);
builder.setBolt(COUNT_BOLT, bolt, 1).shuffleGrouping(WORD_SPOUT);
builder.setBolt(REDIS_BOLT, redisBolt, 1).fieldsGrouping(COUNT_BOLT, new Fields("word"));
if (args.length == 2) {
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("test", config, builder.createTopology());
Thread.sleep(30000);
cluster.killTopology("test");
cluster.shutdown();
System.exit(0);
} else if (args.length == 3) {
StormSubmitter.submitTopology(args[2], config, builder.createTopology());
} else {
System.out.println("Usage: PersistentWordCount <redis host> <redis port> (topology name)");
}
}
public static void main(String[] args) throws Exception {
TopologyBuilder topologyBuilder = new TopologyBuilder();
topologyBuilder.setSpout(
"READ_THREE_LINES_FROM_RANDOM_NUMBER_TEXT_FILE",
new ReadNRandomLinesFromTextFile("randomNumbers.txt", 3));
topologyBuilder
.setBolt(
"PROCESS_THE_THREE_SELECTED_LINES", new ProcessThe3LinesToCreateTheInitialClusters())
.shuffleGrouping("READ_THREE_LINES_FROM_RANDOM_NUMBER_TEXT_FILE");
topologyBuilder
.setBolt(
"CREATE_THE_INITIAL_FUZZY_CENTROIDS_OF_RANDOM_NUMBERS",
new CreateTheInitialFuzzyCentroidsOfRandomNumbers())
.shuffleGrouping("PROCESS_THE_THREE_SELECTED_LINES");
topologyBuilder.setSpout(
"READ_AND_INDEX_READ_LINES", new ReadAndIndexLinesRead("randomNumbers.txt"));
topologyBuilder
.setBolt("PROCESS_TEXT_FILE_WITH_RANDOM_NUMBERS", new ProcessTextFileWithRandomNumbers())
.shuffleGrouping("READ_AND_INDEX_READ_LINES");
topologyBuilder
.setBolt("EMIT_DATA_FOR_FUZZY_CLUSTERING", new EmitRandomNumbersForFuzzyClustering())
.fieldsGrouping("PROCESS_TEXT_FILE_WITH_RANDOM_NUMBERS", new Fields("INDEX"));
topologyBuilder
.setBolt("FUZZY_CLUSTERING", new FuzzyClustering())
.fieldsGrouping("EMIT_DATA_FOR_FUZZY_CLUSTERING", new Fields("INDEX"));
topologyBuilder
.setBolt(
"COLLECT_ALL_AUTHORS_THAT_HAVE_FUZZY_CLUSTER_INDEX_EQUALS_0",
new AuthorsThatHaveClusteredIndexEquals0())
.fieldsGrouping("FUZZY_CLUSTERING", new Fields("INDEX"));
topologyBuilder
.setBolt(
"WRITE_ALL_AUTHORS_THAT_HAVE_CLUSTER_INDEX_EQUALS_0_TO_TEXT_FILE",
new FileWriter("random_numbers_for_fuzzy_centroid_equals_0.txt"))
.shuffleGrouping("COLLECT_ALL_AUTHORS_THAT_HAVE_FUZZY_CLUSTER_INDEX_EQUALS_0");
topologyBuilder
.setBolt(
"COLLECT_ALL_AUTHORS_THAT_HAVE_FUZZY_CLUSTER_INDEX_EQUALS_1",
new AuthorsThatHaveClusteredIndexEquals1())
.fieldsGrouping("FUZZY_CLUSTERING", new Fields("INDEX"));
topologyBuilder
.setBolt(
"WRITE_ALL_AUTHORS_THAT_HAVE_CLUSTER_INDEX_EQUALS_1_TO_TEXT_FILE",
new FileWriter("random_numbers_for_fuzzy_centroid_equals_1.txt"))
.shuffleGrouping("COLLECT_ALL_AUTHORS_THAT_HAVE_FUZZY_CLUSTER_INDEX_EQUALS_1");
topologyBuilder
.setBolt(
"COLLECT_ALL_AUTHORS_THAT_HAVE_FUZZY_CLUSTER_INDEX_EQUALS_2",
new AuthorsThatHaveClusteredIndexEquals2())
.fieldsGrouping("FUZZY_CLUSTERING", new Fields("INDEX"));
topologyBuilder
.setBolt(
"WRITE_ALL_AUTHORS_THAT_HAVE_CLUSTER_INDEX_EQUALS_2_TO_TEXT_FILE",
new FileWriter("random_numbers_for_fuzzy_centroid_equals_2.txt"))
.shuffleGrouping("COLLECT_ALL_AUTHORS_THAT_HAVE_FUZZY_CLUSTER_INDEX_EQUALS_2");
Config config = new Config();
if (args != null && args.length > 0) {
config.setNumWorkers(10);
config.setNumAckers(5);
config.setMaxSpoutPending(100);
StormSubmitter.submitTopology(args[0], config, topologyBuilder.createTopology());
} else {
LocalCluster localCluster = new LocalCluster();
localCluster.submitTopology("Test", config, topologyBuilder.createTopology());
Utils.sleep(1 * 60 * 1000);
localCluster.killTopology("Test");
localCluster.shutdown();
}
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
// ----------type1
/*
builder.setSpout("word", new MyTestWordSpout(), 1);
builder.setSpout("test_signal", new SignalSpout(), 1);
builder.setBolt("exclaim1", new ExclamationBolt(), 6).shuffleGrouping(
"word");
//signals 为SignalSpout的streamId
builder.setBolt("exclaim2", new ExclamationBolt(), 8)
.fieldsGrouping("exclaim1", new Fields("word"))
.allGrouping("test_signal", "signals");
Config conf = new Config();
conf.setDebug(true);
conf.setNumWorkers(5);
*/
// -----------type2
Config conf = new Config();
// topic
conf.put("meta.topic", "test_hotel_count");
conf.setDebug(true);
MetaClientConfig mcc = new MetaClientConfig();
ZKConfig zkConfig = new ZKConfig();
zkConfig.zkConnect = "10.10.100.1:12181";
mcc.setZkConfig(zkConfig);
ConsumerConfig cc = new ConsumerConfig();
cc.setGroup("test_gsj_000652");
Scheme scheme = new StringScheme();
// spout
MetaSpout ms = new MetaSpout(mcc, cc, scheme);
SignalSpout ss = new SignalSpout();
// bolt
ExclamationBolt1 bolt1 = new ExclamationBolt1();
ExclamationBolt2 bolt2 = new ExclamationBolt2();
// builder
builder.setSpout("metaq_test", ms, 1);
builder.setSpout("test_signal", ss, 1);
builder.setBolt("bolt1", bolt1, 6).shuffleGrouping("metaq_test");
// signals 为SignalSpout的streamId
builder
.setBolt("bolt2", bolt2, 1)
.fieldsGrouping("bolt1", new Fields("cat"))
.allGrouping("test_signal", "signals");
if (args != null && args.length > 0) {
// topology 的工作进程数,若worker数量>1，则在某些worker的bolt2中无法收到消息，但是在其他某个特定的worker中可接受到消息，正常处理；
// 是否某个bolt只在某个worker中运行？有待考证
conf.setNumWorkers(1);
StormSubmitter.submitTopology(args[0], conf, builder.createTopology());
} else {
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("test", conf, builder.createTopology());
Utils.sleep(10000000);
cluster.killTopology("test");
cluster.shutdown();
}
}
public static void main(String[] args) throws Exception {
// create the topology
TopologyBuilder builder = new TopologyBuilder();
/*
* In order to create the spout, you need to get twitter credentials
* If you need to use Twitter firehose/Tweet stream for your idea,
* create a set of credentials by following the instructions at
*
* https://dev.twitter.com/discussions/631
*
*/
// now create the tweet spout with the credentials
TweetSpout tweetSpout =
new TweetSpout(
"9LD0JsKsn6BdAV7Z5GL7u4yFC",
"QJ3qV3YD5LLyiLqzQnnzH3RyuahKU9dS6pI1D33Z4vKKHPCo9t",
"113301027-2HUdgDS9NxuLjPPz4lQ4DdJtiMY9OyCGvpjh8vLa",
"vZshPsVGuxLx9q9K4eM32KsznjMFhAHZMYl6Khg5tW5cd");
// attach the tweet spout to the topology - parallelism of 1
builder.setSpout("tweet-spout", tweetSpout, 1);
// attach the parse tweet bolt using shuffle grouping
// builder.setBolt("parse-tweet-bolt", new ParseTweetBolt(), 10).shuffleGrouping("tweet-spout");
// ************* replace with URLBolt emitting text using shuffle grouping
builder.setBolt("python-URL-bolt", new URLBolt(), 10).shuffleGrouping("tweet-spout");
// ************* replace Java ParseTweetBolt with Java/Python SplitSentence
builder
.setBolt("python-split-sentence", new SplitSentence(), 10)
.shuffleGrouping("python-URL-bolt");
// attach the count bolt using fields grouping - parallelism of 15
// builder.setBolt("count-bolt", new CountBolt(), 15).fieldsGrouping("parse-tweet-bolt", new
// Fields("tweet-word"));
// ************* replace Java "parse-tweet-bolt" with Java/Python "python-split-sentence"
builder
.setBolt("count-bolt", new CountBolt(), 15)
.fieldsGrouping("python-split-sentence", new Fields("word"));
// attach the report bolt using global grouping - parallelism of 1
builder.setBolt("report-bolt", new ReportBolt(), 1).globalGrouping("count-bolt");
// create the default config object
Config conf = new Config();
// set the config in debugging mode
conf.setDebug(true);
if (args != null && args.length > 0) {
// run it in a live cluster
// set the number of workers for running all spout and bolt tasks
conf.setNumWorkers(3);
// create the topology and submit with config
StormSubmitter.submitTopology(args[0], conf, builder.createTopology());
} else {
// run it in a simulated local cluster
// set the number of threads to run - similar to setting number of workers in live cluster
conf.setMaxTaskParallelism(3);
// create the local cluster instance
LocalCluster cluster = new LocalCluster();
// submit the topology to the local cluster
cluster.submitTopology("tweet-word-count", conf, builder.createTopology());
// let the topology run for 1000*30 seconds. note topologies never terminate!
Utils.sleep(1000 * 30000);
// now kill the topology
cluster.killTopology("tweet-word-count");
// we are done, so shutdown the local cluster
cluster.shutdown();
}
}
