examples/streaming/state/src/main/scala/org/apache/gearpump/streaming/examples/state/MessageCountApp.scala

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 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
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package org.apache.gearpump.streaming.examples.state

import java.util.Properties

import akka.actor.ActorSystem
import org.apache.gearpump.streaming.kafka.util.KafkaConfig
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.streaming.partitioner.HashPartitioner
import org.apache.gearpump.streaming.examples.state.processor.CountProcessor
import org.apache.gearpump.streaming.hadoop.HadoopCheckpointStoreFactory
import org.apache.gearpump.streaming.hadoop.lib.rotation.FileSizeRotation
import org.apache.gearpump.streaming.kafka.{KafkaStoreFactory, KafkaSink, KafkaSource}
import org.apache.gearpump.streaming.sink.DataSinkProcessor
import org.apache.gearpump.streaming.source.DataSourceProcessor
import org.apache.gearpump.streaming.state.impl.PersistentStateConfig
import org.apache.gearpump.streaming.{Processor, StreamApplication}
import org.apache.gearpump.util.Graph.Node
import org.apache.gearpump.util.{AkkaApp, Graph}

/** Does exactly-once message count */
object MessageCountApp extends AkkaApp with ArgumentsParser {
  val SOURCE_TASK = "sourceTask"
  val COUNT_TASK = "countTask"
  val SINK_TASK = "sinkTask"
  val SOURCE_TOPIC = "sourceTopic"
  val SINK_TOPIC = "sinkTopic"
  val ZOOKEEPER_CONNECT = "zookeeperConnect"
  val BROKER_LIST = "brokerList"
  val DEFAULT_FS = "defaultFS"

  override val options: Array[(String, CLIOption[Any])] = Array(
    SOURCE_TASK -> CLIOption[Int]("<how many kafka source tasks>", required = false,
      defaultValue = Some(1)),
    COUNT_TASK -> CLIOption("<how many count tasks>", required = false, defaultValue = Some(1)),
    SINK_TASK -> CLIOption[Int]("<how many kafka sink tasks>", required = false,
      defaultValue = Some(1)),
    SOURCE_TOPIC -> CLIOption[String]("<kafka source topic>", required = true),
    SINK_TOPIC -> CLIOption[String]("<kafka sink topic>", required = true),
    ZOOKEEPER_CONNECT -> CLIOption[String]("<Zookeeper connect string, e.g. localhost:2181/kafka>",
      required = true),
    BROKER_LIST -> CLIOption[String]("<Kafka broker list, e.g. localhost:9092>", required = true),
    DEFAULT_FS -> CLIOption[String]("<name of the default file system, e.g. hdfs://localhost:9000>",
      required = true)
  )

  def application(config: ParseResult)(implicit system: ActorSystem): StreamApplication = {
    val appName = "MessageCount"
    val hadoopConfig = new Configuration
    hadoopConfig.set("fs.defaultFS", config.getString(DEFAULT_FS))
    val checkpointStoreFactory = new HadoopCheckpointStoreFactory("MessageCount", hadoopConfig,
      // Rotates on 1KB
      new FileSizeRotation(1000))
    val taskConfig = UserConfig.empty
      .withBoolean(PersistentStateConfig.STATE_CHECKPOINT_ENABLE, true)
      .withLong(PersistentStateConfig.STATE_CHECKPOINT_INTERVAL_MS, 1000L)
      .withValue(PersistentStateConfig.STATE_CHECKPOINT_STORE_FACTORY, checkpointStoreFactory)

    val properties = new Properties
    properties.put(KafkaConfig.ZOOKEEPER_CONNECT_CONFIG, config.getString(ZOOKEEPER_CONNECT))
    val brokerList = config.getString(BROKER_LIST)
    properties.put(KafkaConfig.BOOTSTRAP_SERVERS_CONFIG, brokerList)
    properties.put(KafkaConfig.CHECKPOINT_STORE_NAME_PREFIX_CONFIG, appName)
    val kafkaStoreFactory = new KafkaStoreFactory(properties)
    val sourceTopic = config.getString(SOURCE_TOPIC)
    val kafkaSource = new KafkaSource(sourceTopic, properties)
    kafkaSource.setCheckpointStore(kafkaStoreFactory)
    val sourceProcessor = DataSourceProcessor(kafkaSource, config.getInt(SOURCE_TASK))
    val countProcessor = Processor[CountProcessor](config.getInt(COUNT_TASK), taskConf = taskConfig)
    val kafkaSink = new KafkaSink(config.getString(SINK_TOPIC), properties)
    val sinkProcessor = DataSinkProcessor(kafkaSink, config.getInt(SINK_TASK))
    val partitioner = new HashPartitioner()
    val graph = Graph(sourceProcessor ~ partitioner
      ~> countProcessor ~ partitioner ~> sinkProcessor)
    val app = StreamApplication(appName, graph, UserConfig.empty)
    app
  }

  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()
  }
}