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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.gearpump.streaming.examples.state
import akka.actor.ActorSystem
import org.apache.hadoop.conf.Configuration
import org.apache.gearpump.cluster.UserConfig
import org.apache.gearpump.cluster.client.ClientContext
import org.apache.gearpump.cluster.main.{ArgumentsParser, CLIOption, ParseResult}
import org.apache.gearpump.partitioner.HashPartitioner
import org.apache.gearpump.streaming.examples.state.processor.{NumberGeneratorProcessor, WindowAverageProcessor}
import org.apache.gearpump.streaming.hadoop.HadoopCheckpointStoreFactory
import org.apache.gearpump.streaming.state.impl.{PersistentStateConfig, WindowConfig}
import org.apache.gearpump.streaming.{Processor, StreamApplication}
import org.apache.gearpump.util.Graph.Node
import org.apache.gearpump.util.{AkkaApp, Graph}
/** Does exactly-once sliding window based average aggregation */
object WindowAverageApp extends AkkaApp with ArgumentsParser {
override val options: Array[(String, CLIOption[Any])] = Array(
"gen" -> CLIOption("<how many gen tasks>", required = false, defaultValue = Some(1)),
"window" -> CLIOption("<how mange window tasks", required = false, defaultValue = Some(1)),
"window_size" -> CLIOption("<window size in milliseconds>", required = false,
defaultValue = Some(5000)),
"window_step" -> CLIOption("<window step in milliseconds>", required = false,
defaultValue = Some(5000))
)
def application(config: ParseResult)(implicit system: ActorSystem): StreamApplication = {
val windowSize = config.getInt("window_size")
val windowStep = config.getInt("window_step")
val checkpointStoreFactory = new HadoopCheckpointStoreFactory("MessageCount", new Configuration)
val taskConfig = UserConfig.empty.
withBoolean(PersistentStateConfig.STATE_CHECKPOINT_ENABLE, true)
.withLong(PersistentStateConfig.STATE_CHECKPOINT_INTERVAL_MS, 1000L)
.withValue(PersistentStateConfig.STATE_CHECKPOINT_STORE_FACTORY, checkpointStoreFactory)
.withValue(WindowConfig.NAME, WindowConfig(windowSize, windowStep))
val gen = Processor[NumberGeneratorProcessor](config.getInt("gen"))
val count = Processor[WindowAverageProcessor](config.getInt("window"), taskConf = taskConfig)
val partitioner = new HashPartitioner()
val app = StreamApplication("WindowAverage", Graph(gen ~ partitioner ~> count),
UserConfig.empty)
app
}
override def main(akkaConf: Config, args: Array[String]): Unit = {
val config = parse(args)
val context = ClientContext(akkaConf)
implicit val system = context.system
val appId = context.submit(application(config))
context.close()
}
}