public static void main(String[] args) {
FeederSpout genderSpout = new FeederSpout(new Fields("id", "gender"));
FeederSpout ageSpout = new FeederSpout(new Fields("id", "age"));
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("gender", genderSpout);
builder.setSpout("age", ageSpout);
builder
.setBolt("join", new SingleJoinBolt(new Fields("gender", "age")))
.fieldsGrouping("gender", new Fields("id"))
.fieldsGrouping("age", new Fields("id"));
Config conf = new Config();
conf.setDebug(true);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("join-example", conf, builder.createTopology());
for (int i = 0; i < 10; i++) {
String gender;
if (i % 2 == 0) {
gender = "male";
} else {
gender = "female";
}
genderSpout.feed(new Values(i, gender));
}
for (int i = 9; i >= 0; i--) {
ageSpout.feed(new Values(i, i + 20));
}
Utils.sleep(2000);
cluster.shutdown();
}
@Test
public void testEPL() {
// should say fieldsTypes, maybe with object/component prefix
Map<String, Object> eventTypes = new HashMap<>();
eventTypes.put(LITERAL_SYMBOL, String.class);
eventTypes.put(LITERAL_PRICE, Integer.class);
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout(LITERAL_QUOTES, new RandomSentenceSpout());
builder
.setBolt(
LITERAL_ESPER,
(new EsperBolt())
.addEventTypes(eventTypes)
.addOutputTypes(
Collections.singletonMap(
LITERAL_RETURN_OBJ, Arrays.asList(LITERAL_AVG, LITERAL_PRICE)))
.addStatements(
Collections.singleton(
"insert into Result "
+ "select avg(price) as avg, price from "
+ "quotes_default(symbol='A').win:length(2) "
+ "having avg(price) > 60.0")))
.shuffleGrouping(LITERAL_QUOTES);
builder.setBolt("print", new PrinterBolt()).shuffleGrouping(LITERAL_ESPER, LITERAL_RETURN_OBJ);
Config conf = new Config();
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("test", conf, builder.createTopology());
Utils.sleep(10000);
cluster.shutdown();
assertEquals(resultEPL.get(100), new Double(75.0));
assertEquals(resultEPL.get(50), new Double(75.0));
}
public SynchronizedStormDataSource(
ComponentProperties cp,
List<String> allCompNames,
ArrayList<Type> tupleTypes,
int hierarchyPosition,
int parallelism,
int keyIndex,
boolean isPartitioner,
TopologyBuilder builder,
TopologyKiller killer,
Config conf,
int numOfTuplesThreshold) {
super(cp, allCompNames, hierarchyPosition, isPartitioner, conf);
_numOfTuplesThreshold = numOfTuplesThreshold;
_keyIndex = keyIndex;
_name = cp.getName();
_aggBatchOutputMillis = cp.getBatchOutputMillis();
_operatorChain = cp.getChainOperator();
_schema = tupleTypes;
_frequentSet = new HashSet<Integer>();
if (getHierarchyPosition() == FINAL_COMPONENT && (!MyUtilities.isAckEveryTuple(conf)))
killer.registerComponent(this, parallelism);
builder.setSpout(getID(), this, parallelism);
if (MyUtilities.isAckEveryTuple(conf)) killer.registerComponent(this, parallelism);
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("PlayStream1", new FootballDataSpout(), 1);
builder.setBolt("AvgRunPlay", configureSiddhiBolt1(), 1).shuffleGrouping("PlayStream1");
builder.setBolt("FastRunPlay", configureSiddhiBolt2(), 1).shuffleGrouping("AvgRunPlay");
builder.setBolt("LeafEcho", new EchoBolt(), 1).shuffleGrouping("FastRunPlay");
Config conf = new Config();
// conf.setDebug(true);
if (args != null && args.length > 0) {
conf.setNumWorkers(3);
StormSubmitter.submitTopology(args[0], conf, builder.createTopology());
} else {
conf.setMaxTaskParallelism(3);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("word-count", conf, builder.createTopology());
Thread.sleep(10000);
cluster.shutdown();
}
}
public static void main(String[] args) throws Exception {
if (args.length < 4) {
System.err.println(
"Usage: PrintSampleStream <consumer-key> <consumer-secret> <access-token> <access-token-secret>");
return;
}
String consumerKey = args[0];
String consumerSecret = args[1];
String accessToken = args[2];
String accessTokenSecret = args[3];
// keywords start with the 5th parameter
String[] keyWords = Arrays.copyOfRange(args, 4, args.length);
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout(
"twitter",
new TwitterSampleSpout(
consumerKey, consumerSecret, accessToken, accessTokenSecret, keyWords));
builder.setBolt("print", new PrinterBolt()).shuffleGrouping("twitter");
Config conf = new Config();
final FlinkLocalCluster cluster = FlinkLocalCluster.getLocalCluster();
cluster.submitTopology("Print", conf, FlinkTopology.createTopology(builder));
Utils.sleep(10 * 1000);
cluster.shutdown();
}
public static void main(String[] args) throws Exception {
String topic = "wordcount";
String zkRoot = "/kafka-storm";
String spoutId = "KafkaSpout";
// 整合kafka 设置brober 及 spout 配置信息
BrokerHosts brokerHosts = new ZkHosts("hadoop04:2181,hadoop05:2181,hadoop06:2181");
SpoutConfig spoutConfig = new SpoutConfig(brokerHosts, topic, zkRoot, spoutId);
spoutConfig.scheme = new SchemeAsMultiScheme(new MessageSpout());
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout(spoutId, new KafkaSpout(spoutConfig));
builder.setBolt("word-spilter", new WordSpliter(), 4).shuffleGrouping(spoutId);
builder
.setBolt("writer", new WriterBolt(), 4)
.fieldsGrouping("word-spilter", new Fields("word"));
Config conf = new Config();
conf.setNumWorkers(4);
conf.setNumAckers(0);
conf.setDebug(true);
// LocalCluster用来将topology提交到本地模拟器运行，方便开发调试
// LocalCluster cluster = new LocalCluster();
// cluster.submitTopology("WordCount",conf,builder.createTopology());
StormSubmitter.submitTopology("WordCount", conf, builder.createTopology());
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("spout", new RandomSentenceSpout(), 5);
builder.setBolt("split", new SplitSentence(), 8).shuffleGrouping("spout");
builder.setBolt("count", new WordCount(), 12).fieldsGrouping("split", new Fields("word"));
Config conf = new Config();
conf.setDebug(true);
if (args != null && args.length > 0) {
conf.setNumWorkers(3);
StormSubmitter.submitTopologyWithProgressBar(args[0], conf, builder.createTopology());
} else {
conf.setMaxTaskParallelism(3);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("word-count", conf, builder.createTopology());
Thread.sleep(1000000);
cluster.shutdown();
}
}
public static void main(String[] args) throws AlreadyAliveException, InvalidTopologyException {
List<String> hosts = new ArrayList<String>();
hosts.add("127.0.0.1");
SpoutConfig spoutConfig =
new SpoutConfig(
KafkaConfig.StaticHosts.fromHostString(hosts, 1), "test", "/kafkastorm", "discovery");
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("kafkaSpout", new KafkaSpout(spoutConfig), 1);
builder
.setBolt("flightInformationParserBolt", new FlightInformationParserBolt(), 1)
.shuffleGrouping("kafkaSpout");
Config conf = new Config();
conf.setDebug(true);
if (args != null && args.length > 0) {
conf.setNumWorkers(3);
StormSubmitter.submitTopology(args[0], conf, builder.createTopology());
} else {
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("flightInformationTest", conf, builder.createTopology());
// Utils.sleep(10000);
// cluster.killTopology("flightInformationTest");
// cluster.shutdown();
}
}
public static void main(String[] args)
throws InterruptedException, AlreadyAliveException, InvalidTopologyException {
Config config = new Config();
// 设置喷发节点并分配并发数，该并发数将会控制该对象在集群中的线程数。
builder.setSpout("readlog", new ReadLogSpout(), 1);
// 创建monitor监控过滤节点
builder.setBolt("monitor", new MonitorBolt("MonitorBolt.xml"), 3).shuffleGrouping("readlog");
// 创建mysql数据存储节点
builder.setBolt("mysql", new MysqlBolt("MysqlBolt.xml"), 3).shuffleGrouping("monitor");
builder.setBolt("print", new PrintBolt(), 3).shuffleGrouping("monitor");
config.setDebug(false);
if (args != null && args.length > 0) {
config.setNumWorkers(1);
StormSubmitter.submitTopology(args[0], config, builder.createTopology());
} else {
// 这里是本地模式下运行的启动代码。
config.setMaxTaskParallelism(1);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("simple", config, builder.createTopology());
}
}
public static void main(String[] args) {
try {
// 实例化TopologyBuilder类。
TopologyBuilder topologyBuilder = new TopologyBuilder();
// 设置喷发节点并分配并发数，该并发数将会控制该对象在集群中的线程数。
topologyBuilder.setSpout("SimpleSpout", new SimpleSpout(), 1);
// 设置数据处理节点并分配并发数。指定该节点接收喷发节点的策略为随机方式。
topologyBuilder.setBolt("SimpleBolt", new SimpleBolt(), 3).shuffleGrouping("SimpleSpout");
Config config = new Config();
config.setDebug(true);
if (args != null && args.length > 0) {
config.setNumWorkers(1);
StormSubmitter.submitTopology(args[0], config, topologyBuilder.createTopology());
} else {
// 这里是本地模式下运行的启动代码。
config.setMaxTaskParallelism(1);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("simple", config, topologyBuilder.createTopology());
Utils.sleep(5000);
cluster.shutdown();
}
} catch (Exception e) {
e.printStackTrace();
}
}
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();
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("spout", new TwitterStreamSpout(), 5);
builder
.setBolt("windowingTwitterStream", new WindowingTwitterStream(300), 1)
.shuffleGrouping("spout");
builder
.setBolt(
"PrepareUserSimilarityCalculationBolt", new PrepareUserSimilarityCalculationBolt(), 1)
.shuffleGrouping("windowingTwitterStream");
builder
.setBolt("UserSimilarityCalculationBolt", new UserSimilarityCalculationBolt(), 1)
.shuffleGrouping("PrepareUserSimilarityCalculationBolt");
Config conf = new Config();
conf.setDebug(false);
if (args != null && args.length > 0) {
conf.setNumWorkers(3);
StormSubmitter.submitTopology(args[0], conf, builder.createTopology());
} else {
conf.setMaxTaskParallelism(3);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("word-count", conf, builder.createTopology());
// Thread.sleep(10000);
// cluster.shutdown();
}
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("spout", new RandomSentenceSpout(), 5);
builder.setBolt("split", new SplitSentence(), 8).shuffleGrouping("spout");
builder.setBolt("count", new WordCount(), 12).fieldsGrouping("split", new Fields("word"));
Config conf = new Config();
conf.setDebug(true);
if (args != null && args.length > 0) {
/*设置该topology在storm集群中要抢占的资源slot数，一个slot对应这supervisor节点上的以个worker进程
如果你分配的spot数超过了你的物理节点所拥有的worker数目的话，有可能提交不成功，加入你的集群上面已经有了
一些topology而现在还剩下2个worker资源，如果你在代码里分配4个给你的topology的话，那么这个topology可以提交
但是提交以后你会发现并没有运行。 而当你kill掉一些topology后释放了一些slot后你的这个topology就会恢复正常运行。
*/
conf.setNumWorkers(3);
StormSubmitter.submitTopology(args[0], conf, builder.createTopology());
} else {
conf.setMaxTaskParallelism(3);
// 指定为本地模式运行
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("word-count", conf, builder.createTopology());
Thread.sleep(10000);
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();
}
public static void main(String[] args) {
Config config = new Config();
builder.setSpout("RandomSentence", new RandomSentenceSpout(), 2);
builder
.setBolt("WordNormalizer", new WordNormalizerBolt(), 2)
.shuffleGrouping("RandomSentence");
builder
.setBolt("WordCount", new WordCountBolt(), 2)
.fieldsGrouping("WordNormalizer", new Fields("word"));
builder.setBolt("Print", new PrintBolt(), 1).shuffleGrouping("WordCount");
config.setDebug(false);
// 通过是否有参数来控制是否启动集群，或者本地模式执行
if (args != null && args.length > 0) {
try {
config.setNumWorkers(1);
StormSubmitter.submitTopology(args[0], config, builder.createTopology());
} catch (Exception e) {
e.printStackTrace();
}
} else {
config.setMaxTaskParallelism(1);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("wordcount", config, builder.createTopology());
}
}
@Ignore
@Test
public void testSiddhiSpout()
throws AlreadyAliveException, InvalidTopologyException, InterruptedException {
eventsReceived = false;
ExecutionPlanConfiguration executionPlanConfiguration = new ExecutionPlanConfiguration();
StreamDefinition siddhiStreamDef =
new StreamDefinition().name("wordStream").attribute("word", Attribute.Type.STRING);
ConsumingQueuedEventSource eventSource =
new ConsumingQueuedEventSource(siddhiStreamDef, executionPlanConfiguration);
SiddhiSpout siddhiSpout = new SiddhiSpout(siddhiStreamDef, eventSource);
siddhiSpout.setUseDefaultAsStreamName(false);
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("siddhi-spout", siddhiSpout);
// builder.setBolt("count", wordCount, 12).fieldsGrouping("siddhi-spout", new Fields("word"));
builder
.setBolt("count", new WordCount(), 8)
.fieldsGrouping("siddhi-spout", "wordStream", new Fields("word"));
Config conf = new Config();
conf.setDebug(false);
conf.setMaxTaskParallelism(3);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("word-count", conf, builder.createTopology());
eventSource.consumeEvents(new Object[][] {{"GOOG"}, {"WSO2"}, {"FB"}});
Thread.sleep(10000);
Assert.assertTrue("No events received.", eventsReceived);
Assert.assertTrue("Event count is zero", eventCount > 0);
cluster.shutdown();
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
// 登录
builder.setBolt("mlogin_verify_bolt", new MLoginVeriBolt(), 10).shuffleGrouping("mlogin_spout");
builder
.setBolt("mlogin_calc_bolt", new MLoginCalcBolt(), 10)
.shuffleGrouping("mlogin_verify_bolt");
Config conf = new Config();
conf.setDebug(true);
if (args != null && args.length > 0) {
String gamecfg_path = "";
try {
gamecfg_path = args[1];
} catch (ArrayIndexOutOfBoundsException e) {
System.out.println("NOTICE： 请输入游戏配置文件路径(param 2)!");
e.printStackTrace();
System.exit(-999);
}
conf.put("gamecfg_path", gamecfg_path);
conf.put("isOnline", true);
String topicLogin = "******";
String zkRoot = "/home/ztgame/storm/zkroot";
String spoutIdLogin = "******";
BrokerHosts brokerHosts =
new ZkHosts("172.29.201.208:2181,172.29.201.207:2181,172.29.201.205:2181");
SpoutConfig spoutConfLogin = new SpoutConfig(brokerHosts, topicLogin, zkRoot, spoutIdLogin);
spoutConfLogin.scheme = new SchemeAsMultiScheme(new StringScheme());
builder.setSpout("mlogin_spout", new KafkaSpout(spoutConfLogin), 1);
conf.setNumWorkers(2);
StormSubmitter.submitTopologyWithProgressBar(args[0], conf, builder.createTopology());
} else {
conf.put("isOnline", false);
builder.setSpout("mlogin_spout", new SampleMLoginSpout(), 1);
conf.setMaxTaskParallelism(2);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("word-count", conf, builder.createTopology());
Thread.sleep(200000);
cluster.shutdown();
}
}
public void buildEvaluatePart(
IStateFactory cassandra,
InstanceStreamSource source,
TopologyBuilder builder,
MoaConfig config) {
int num_workers = config.getNumWorkers();
int ensemble_size = config.getEnsembleSize();
int num_classifier_executors = config.getNumClassifierExecutors();
int num_combiners = config.getNumCombiners();
int num_aggregators = config.getNumAggregators();
EvaluateSpout evaluate_spout = new EvaluateSpout(source, cassandra, 100);
builder.setSpout("prediction_stream", evaluate_spout);
builder
.setBolt(
"shared_storage",
new SharedStorageBolt<Classifier>(cassandra, "evaluate_classifier"),
num_workers)
.customGrouping("prediction_stream", EvaluateSpout.NOTIFICATION_STREAM, new AllGrouping());
builder
.setBolt(
"p_deserialize",
new TopologyBroadcastBolt("evaluate", LearnSpout.LEARN_STREAM_FIELDS),
num_workers)
.shuffleGrouping("prediction_stream");
builder
.setBolt(
"evaluate_local_grouping",
new WorkerBroadcastBolt("evaluate", LearnSpout.LEARN_STREAM_FIELDS),
num_workers)
.customGrouping("p_deserialize", "evaluate", new AllGrouping());
builder
.setBolt(
"evaluate_classifier",
new EvaluateClassifierBolt(cassandra),
Math.max(num_classifier_executors, num_workers))
.customGrouping("evaluate_local_grouping", "evaluate", new AllLocalGrouping())
.setNumTasks(ensemble_size);
builder
.setBolt(
"combine_result",
new CombinerBolt("evaluate_classifier"),
Math.max(num_workers, num_combiners))
.customGrouping("evaluate_classifier", new LocalGrouping(new IdBasedGrouping()))
.setNumTasks(Math.max(num_workers, num_combiners));
builder
.setBolt(
"prediction_result",
new CombinerBolt(ensemble_size),
Math.max(num_workers, num_combiners))
.customGrouping("combine_result", new IdBasedGrouping())
.setNumTasks(Math.max(num_workers, num_aggregators));
}
public static void main(String[] args) throws InterruptedException {
// Topology definition
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout(
Constants.objectLocationGenerator,
new ObjectLocationGenerator(),
Constants.dataSpoutParallelism);
builder.setSpout(
Constants.queryGenerator, new RangeQueryGenerator(), Constants.querySpoutParallelism);
builder
.setBolt(
Constants.rangeFilterBolt, new NonIncrementalRangeFilter(), Constants.boltParallelism)
.customGrouping(
Constants.queryGenerator,
new QueryStaticGridCustomGrouping(
Constants.numberOfBolts,
Constants.xMaxRange,
Constants.yMaxRange,
Constants.xCellsNum,
Constants.yCellsNum))
.customGrouping(
Constants.objectLocationGenerator,
new DataStaticGridCustomGrouping(
Constants.numberOfBolts,
Constants.xMaxRange,
Constants.yMaxRange,
Constants.xCellsNum,
Constants.yCellsNum));
// Configuration
Config conf = new Config();
conf.setDebug(false);
// Topology run
// conf.put(Config., 1);
// conf.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1);
// conf.put(Config., 1);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology(
"OptimizedNonIncrementalRange-Queries_toplogy", conf, builder.createTopology());
// while (true)
// Thread.sleep(1000);
}
// Entry point for the topology
public static void main(String[] args) throws Exception {
// Read and set configuration
Properties properties = new Properties();
// Arguments? Or from config file?
if (args.length > 1) {
properties.load(new FileReader(args[1]));
} else {
properties.load(
EventHubWriter.class.getClassLoader().getResourceAsStream("EventHubs.properties"));
}
// Configure the bolt for Event Hub
String policyName = properties.getProperty("eventhubs.writerpolicyname");
String policyKey = properties.getProperty("eventhubs.writerpolicykey");
String namespaceName = properties.getProperty("eventhubs.namespace");
String entityPath = properties.getProperty("eventhubs.entitypath");
EventHubBoltConfig spoutConfig =
new EventHubBoltConfig(
policyName, policyKey, namespaceName, "servicebus.windows.net", entityPath);
// Used to build the topology
TopologyBuilder builder = new TopologyBuilder();
// Add the spout, with a name of 'spout'
// and parallelism hint of 5 executors
builder.setSpout("spout", new DeviceSpout(), 5);
builder.setBolt("eventhubbolt", new EventHubBolt(spoutConfig), 8).shuffleGrouping("spout");
// new configuration
Config conf = new Config();
conf.setDebug(true);
// If there are arguments, we are running on a cluster
if (args != null && args.length > 0) {
// parallelism hint to set the number of workers
conf.setNumWorkers(3);
// submit the topology
StormSubmitter.submitTopology(args[0], conf, builder.createTopology());
}
// Otherwise, we are running locally
else {
// Cap the maximum number of executors that can be spawned
// for a component to 3
conf.setMaxTaskParallelism(3);
// LocalCluster is used to run locally
LocalCluster cluster = new LocalCluster();
// submit the topology
cluster.submitTopology("writer", conf, builder.createTopology());
// sleep
Thread.sleep(10000);
// shut down the cluster
cluster.shutdown();
}
}
public static void main(String[] args) throws Exception {
final TopologyBuilder builder = new TopologyBuilder();
final KestrelThriftSpout spout =
new KestrelThriftSpout("localhost", 2229, "test", new StringScheme());
builder.setSpout("spout", spout).setDebug(true);
builder.setBolt("bolt", new FailEveryOther()).shuffleGrouping("spout");
final LocalCluster cluster = new LocalCluster();
final Config conf = new Config();
cluster.submitTopology("test", conf, builder.createTopology());
Thread.sleep(600000);
}
/**
* A topology that produces random sentences using {@link RandomSentenceSpout} and publishes the
* sentences using a KafkaBolt to kafka "test" topic.
*
* @return the storm topology
*/
public StormTopology buildProducerTopology() {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("spout", new RandomSentenceSpout(), 2);
/**
* The output field of the RandomSentenceSpout ("word") is provided as the boltMessageField so
* that this gets written out as the message in the kafka topic.
*/
KafkaBolt bolt =
new KafkaBolt()
.withTopicSelector(new DefaultTopicSelector("test"))
.withTupleToKafkaMapper(new FieldNameBasedTupleToKafkaMapper("key", "word"));
builder.setBolt("forwardToKafka", bolt, 1).shuffleGrouping("spout");
return builder.createTopology();
}
/**
* 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 AlreadyAliveException, InvalidTopologyException {
// TODO Auto-generated method stub
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("sourceSpout", new SourceSpout());
builder.setBolt("formatBolt", new FormatBolt()).shuffleGrouping("sourceSpout");
builder
.setBolt("slideWindowBolt", new SlideWindowBolt(30))
.fieldsGrouping("formatBolt", new Fields("ip"));
builder
.setBolt("dbBolt", new DBBolt("access_ip_num"))
.fieldsGrouping("slideWindowBolt", new Fields("ip"));
Config config = new Config();
// config.setNumWorkers(4);
config.setMaxSpoutPending(1000);
StormSubmitter.submitTopology(args[0], config, builder.createTopology());
}
public static void main(String[] args) {
TopologyBuilder topologyBuilder = new TopologyBuilder();
topologyBuilder.setSpout("aa", new DataSourceSpout());
topologyBuilder.setBolt("bb", new SumBolt(), 3).shuffleGrouping("aa");
/*//创建本地storm集群
LocalCluster localCluster = new LocalCluster();
localCluster.submitTopology("topology-name", new Config(), topologyBuilder.createTopology());*/
try {
StormSubmitter.submitTopology(
"topology-name", new Config(), topologyBuilder.createTopology());
} catch (AlreadyAliveException e) {
e.printStackTrace();
} catch (InvalidTopologyException e) {
e.printStackTrace();
}
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("spout", new RandomSentenceSpout(), 5);
builder.setBolt("split", new SplitSentence(), 8).shuffleGrouping("spout");
builder.setBolt("count", new WordCount(), 12).fieldsGrouping("split", new Fields("word"));
Config conf = new Config();
conf.setDebug(true);
List<String> componentList = new ArrayList<String>(Arrays.asList("spout", "split", "count"));
conf.put("components", componentList);
Map<String, List<String>> streamMap = new HashMap<String, List<String>>();
List<String> splitstream = new ArrayList<String>(Arrays.asList("spout"));
List<String> countstream = new ArrayList<String>(Arrays.asList("split"));
streamMap.put("split", splitstream);
streamMap.put("count", countstream);
conf.put("streams", streamMap);
conf.put("traffic.improvement", 5);
conf.put("alfa", "0");
conf.put("beta", "1");
conf.put("gamma", "1");
if (args != null && args.length > 0) {
conf.setNumWorkers(3);
StormSubmitter.submitTopologyWithProgressBar(args[0], conf, builder.createTopology());
WorkerMonitor.getInstance();
} else {
conf.setMaxTaskParallelism(3);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("word-count", conf, builder.createTopology());
Thread.sleep(10000);
cluster.shutdown();
}
}
public StormTopology build() {
final TopologyBuilder builder = new TopologyBuilder();
for (Map.Entry<String, IRichSpout> spoutEntry : spoutMap.entrySet()) {
builder.setSpout(spoutEntry.getKey(), spoutEntry.getValue());
}
for (Map.Entry<String, IRichBolt> boltEntry : boltMap.entrySet()) {
InputDeclarer declarer = builder.setBolt(boltEntry.getKey(), boltEntry.getValue());
List<Connection> connectionsForTarget = connections.get(boltEntry.getKey());
if (connectionsForTarget != null) {
for (Connection connection : connectionsForTarget) {
declarer =
declarer.shuffleGrouping(
connection.getSourceComponent(), connection.getSourceStream());
}
}
}
return builder.createTopology();
}
public static void main(String[] args) throws Exception {
TopologyBuilder builder = new TopologyBuilder();
Config config = new Config();
config.setDebug(true);
/*
----------------------TODO-----------------------
Task: wire up the topology
NOTE:make sure when connecting components together, using the functions setBolt(name,…) and setSpout(name,…),
you use the following names for each component:
FileReaderSpout -> "spout"
SplitSentenceBolt -> "split"
WordCountBolt -> "count"
NormalizerBolt -> "normalize"
TopNFinderBolt -> "top-n"
------------------------------------------------- */
builder.setSpout("spout", new FileReaderSpout(args[0]), 1);
builder.setBolt("split", new SplitSentenceBolt(), 8).shuffleGrouping("spout");
builder
.setBolt("normalize", new NormalizerBolt(), 12)
.fieldsGrouping("split", new Fields("word"));
builder
.setBolt("count", new WordCountBolt(), 12)
.fieldsGrouping("normalize", new Fields("word"));
builder.setBolt("top-n", new TopNFinderBolt(N), 1).fieldsGrouping("count", new Fields("word"));
config.setMaxTaskParallelism(3);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("word-count", config, builder.createTopology());
// wait for 2 minutes and then kill the job
Thread.sleep(2 * 60 * 1000);
cluster.shutdown();
}
protected StormTopology buildTopology(EventHubSpout eventHubSpout) {
TopologyBuilder topologyBuilder = new TopologyBuilder();
// one thread, one task (task runs in thread)
topologyBuilder.setSpout("EventHubsSpout", eventHubSpout, 1).setNumTasks(1);
// topologyBuilder.setSpout("EventHubsSpout", eventHubSpout, spoutConfig.getPartitionCount())
// .setNumTasks(spoutConfig.getPartitionCount());
// topologyBuilder.setBolt("PartialCountBolt", new PartialCountBolt(),
// spoutConfig.getPartitionCount())
//
// .localOrShuffleGrouping("EventHubsSpout").setNumTasks(spoutConfig.getPartitionCount());
// topologyBuilder.setBolt("GlobalCountBolt", new GlobalCountBolt(),
// 1).globalGrouping("PartialCountBolt")
// .setNumTasks(1);
topologyBuilder
.setBolt("HBaseBolt", new HBaseBolt(), 1)
.localOrShuffleGrouping("EventHubsSpout")
.setNumTasks(1);
return topologyBuilder.createTopology();
}
public static void main(String[] args) throws Exception {
ParameterTool pt = ParameterTool.fromArgs(args);
int par = pt.getInt("para");
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("source0", new Generator(pt), pt.getInt("sourceParallelism"));
int i = 0;
for (; i < pt.getInt("repartitions", 1) - 1; i++) {
System.out.println("adding source" + i + " --> source" + (i + 1));
builder
.setBolt("source" + (i + 1), new RepartPassThroughBolt(pt), pt.getInt("sinkParallelism"))
.fieldsGrouping("source" + i, new Fields("id"));
}
System.out.println("adding final source" + i + " --> sink");
builder
.setBolt("sink", new Sink(pt), pt.getInt("sinkParallelism"))
.fieldsGrouping("source" + i, new Fields("id"));
Config conf = new Config();
conf.setDebug(false);
// System.exit(1);
if (!pt.has("local")) {
conf.setNumWorkers(par);
StormSubmitter.submitTopologyWithProgressBar(
"throughput-" + pt.get("name", "no_name"), conf, builder.createTopology());
} else {
conf.setMaxTaskParallelism(par);
LocalCluster cluster = new LocalCluster();
cluster.submitTopology("throughput", conf, builder.createTopology());
Thread.sleep(300000);
cluster.shutdown();
}
}