Storm: the Hadoop of Realtime Stream Processing

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STORM Keeping it Real(time) Since 2011

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HELLO.

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dotCloud.com

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DATA

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DATA

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MEGA-DATA

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VERSION ONE

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VERSION TWO

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VERSION TWO

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VERSION THREE

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JOY

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VERSION FOUR?

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ENTER, STORM

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REAL-TIME COMPUTATION

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DISTRIBUTED RPC & STREAM PROCESSING

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HISTORY

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STREAM PROCESSING

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STORM:REAL-TIME HADOOP:BATCH

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WOW

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HIGH VOLUME

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CONTINUOUS

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CONTINUOUS

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FAULT TOLERANT

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DOESN'T

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PERSIST

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PROCESS BATCHES RELIABLY

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PROTECT AGAINST HUMAN ERROR

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PROTECT AGAINST HUMAN ERROR

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THREE CORE ELEMENTS

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SPOUTS

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STREAMS

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BOLTS

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TOPOLOGIES

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TASKS

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TASKS

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OUTPUT ROUTING?

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STREAM GROUPINGS

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SHUFFLE GROUPING

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FIELDS GROUPING

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ALL GROUPING

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GLOBAL GROUPING

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DOWN 'N DIRTY

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GATEWAYS

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GATEWAYS

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REAL-TIME GEOCODE BUCKETED CLIENT UPDATE

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THE TOPOLOGY

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THE TOPOLOGY

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CODE TIME: START ECLIPSE

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WAIT, WHAT?!

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MULTILANG API

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I'VE GOT YOU COVERED

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UMBRELLA: IT PROTECTS YOU FROM STORM

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THE TOPOLOGY

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I'VE GOT YOU COVERED class RedisSpout(JVMSpout): class Default(Stream): fields = 'message' jvm_class = 'yieldbot.storm.spout'

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I'VE GOT YOU COVERED class LogParserBolt(AutoAckBolt): class Default(Stream): fields = 'ip_address' def execute(self, input): ip_address = parse_log(input.message) self.emit(ip_address)

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I'VE GOT YOU COVERED class GeolocatorBolt(AutoAckBolt): class Default(Stream): fields = 'lat', 'long' def __init__(self, *args, **kwargs): self.geoip = pygeoip.GeoIP('GeoLiteCity.dat') super(GeolocatorBolt, self) \ .__init__(*args, **kwargs) def execute(self, input): record = self.geoip.record_by_addr(input.ip) lat = record['latitude'] long_ = record['longitude'] self.emit((lat, long_))

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I'VE GOT YOU COVERED class WSPuserBolt(Bolt): def __init__(self, *args, **kwargs): self.batcher = TimeBatcher() self.pusher = zerorpc.Client(timeout=None) url = os.environ['WSPUSHER_ZERORPC_URL'] self.wspusher.connect(url) super(WSPusherBolt, self).__init__(*args, **kwargs def execute(self, input): t = time() batch = self.pop_batch(t) if batch: self.wspusher.push_list(batch) data = input.lat, input.long self.batcher.push_item(t, data)

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I'VE GOT YOU COVERED class GeocoderTopology(Topology): # components redis = RedisSpout(1) parser = LogParserBolt(3) geolocator = GeolocatorBolt(2) pusher = WSPuserBolt(4) # plumbing parser.inputs.append(ShuffleGrouping(redis)) geolocator.inputs.append(ShuffleGrouping(parser)) pusher.inputs.append( FieldsGrouping(geolocator, 'lat', 'long'))

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INSIDE THE MACHINE

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THREE COMPONENTS

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NIMBUS

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ZOOKEEPER CLUSTER

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WORKER NODES

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DETAILS

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DEPLOYMENT

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EC2?

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DOTCLOUD!

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$ git clone \ https://github.com/gabrielgrant/storm-on-dotcloud.git $ dotcloud push mystorm storm-on-dotcloud … $ dotcloud scale worker=3