java.io.Externalizable Scala Examples

The following examples show how to use java.io.Externalizable. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
Example 1
Source File: FlumeInputDStream.scala    From drizzle-spark   with Apache License 2.0 5 votes vote down vote up 
package org.apache.spark.streaming.flume

import java.io.{Externalizable, ObjectInput, ObjectOutput}
import java.net.InetSocketAddress
import java.nio.ByteBuffer
import java.util.concurrent.Executors

import scala.collection.JavaConverters._
import scala.reflect.ClassTag

import org.apache.avro.ipc.NettyServer
import org.apache.avro.ipc.specific.SpecificResponder
import org.apache.flume.source.avro.{AvroFlumeEvent, AvroSourceProtocol, Status}
import org.jboss.netty.channel.{ChannelPipeline, ChannelPipelineFactory, Channels}
import org.jboss.netty.channel.socket.nio.NioServerSocketChannelFactory
import org.jboss.netty.handler.codec.compression._

import org.apache.spark.internal.Logging
import org.apache.spark.storage.StorageLevel
import org.apache.spark.streaming.StreamingContext
import org.apache.spark.streaming.dstream._
import org.apache.spark.streaming.receiver.Receiver
import org.apache.spark.util.Utils

private[streaming]
class FlumeInputDStream[T: ClassTag](
  _ssc: StreamingContext,
  host: String,
  port: Int,
  storageLevel: StorageLevel,
  enableDecompression: Boolean
) extends ReceiverInputDStream[SparkFlumeEvent](_ssc) {

  override def getReceiver(): Receiver[SparkFlumeEvent] = {
    new FlumeReceiver(host, port, storageLevel, enableDecompression)
  }
}


  private[streaming]
  class CompressionChannelPipelineFactory extends ChannelPipelineFactory {
    def getPipeline(): ChannelPipeline = {
      val pipeline = Channels.pipeline()
      val encoder = new ZlibEncoder(6)
      pipeline.addFirst("deflater", encoder)
      pipeline.addFirst("inflater", new ZlibDecoder())
      pipeline
    }
  }
}
Example 2
Source File: BlockManagerId.scala    From drizzle-spark   with Apache License 2.0 5 votes vote down vote up 
package org.apache.spark.storage

import java.io.{Externalizable, IOException, ObjectInput, ObjectOutput}
import java.util.concurrent.ConcurrentHashMap

import org.apache.spark.SparkContext
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.util.Utils


  def apply(
      execId: String,
      host: String,
      port: Int,
      topologyInfo: Option[String] = None): BlockManagerId =
    getCachedBlockManagerId(new BlockManagerId(execId, host, port, topologyInfo))

  def apply(in: ObjectInput): BlockManagerId = {
    val obj = new BlockManagerId()
    obj.readExternal(in)
    getCachedBlockManagerId(obj)
  }

  val blockManagerIdCache = new ConcurrentHashMap[BlockManagerId, BlockManagerId]()

  def getCachedBlockManagerId(id: BlockManagerId): BlockManagerId = {
    blockManagerIdCache.putIfAbsent(id, id)
    blockManagerIdCache.get(id)
  }
}
Example 3
Source File: BlockManagerId.scala    From SparkCore   with Apache License 2.0 5 votes vote down vote up 
package org.apache.spark.storage

import java.io.{Externalizable, IOException, ObjectInput, ObjectOutput}
import java.util.concurrent.ConcurrentHashMap

import org.apache.spark.SparkContext
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.util.Utils


  def apply(execId: String, host: String, port: Int) =
    getCachedBlockManagerId(new BlockManagerId(execId, host, port))

  def apply(in: ObjectInput) = {
    val obj = new BlockManagerId()
    obj.readExternal(in)
    getCachedBlockManagerId(obj)
  }

  val blockManagerIdCache = new ConcurrentHashMap[BlockManagerId, BlockManagerId]()

  def getCachedBlockManagerId(id: BlockManagerId): BlockManagerId = {
    blockManagerIdCache.putIfAbsent(id, id)
    blockManagerIdCache.get(id)
  }
}
Example 4
Source File: BlockManagerId.scala    From iolap   with Apache License 2.0 5 votes vote down vote up 
package org.apache.spark.storage

import java.io.{Externalizable, IOException, ObjectInput, ObjectOutput}
import java.util.concurrent.ConcurrentHashMap

import org.apache.spark.SparkContext
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.util.Utils


  def apply(execId: String, host: String, port: Int): BlockManagerId =
    getCachedBlockManagerId(new BlockManagerId(execId, host, port))

  def apply(in: ObjectInput): BlockManagerId = {
    val obj = new BlockManagerId()
    obj.readExternal(in)
    getCachedBlockManagerId(obj)
  }

  val blockManagerIdCache = new ConcurrentHashMap[BlockManagerId, BlockManagerId]()

  def getCachedBlockManagerId(id: BlockManagerId): BlockManagerId = {
    blockManagerIdCache.putIfAbsent(id, id)
    blockManagerIdCache.get(id)
  }
}
Example 5
Source File: BlockManagerId.scala    From spark1.52   with Apache License 2.0 5 votes vote down vote up 
package org.apache.spark.storage

import java.io.{Externalizable, IOException, ObjectInput, ObjectOutput}
import java.util.concurrent.ConcurrentHashMap

import org.apache.spark.SparkContext
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.util.Utils


  def apply(execId: String, host: String, port: Int): BlockManagerId =
    getCachedBlockManagerId(new BlockManagerId(execId, host, port))

  def apply(in: ObjectInput): BlockManagerId = {
    val obj = new BlockManagerId()
    obj.readExternal(in)//读取ObjectInput对象host和port_,executorId_
    getCachedBlockManagerId(obj)//获取BlockManagerId
  }

  val blockManagerIdCache = new ConcurrentHashMap[BlockManagerId, BlockManagerId]()

  def getCachedBlockManagerId(id: BlockManagerId): BlockManagerId = {
    blockManagerIdCache.putIfAbsent(id, id)//put和putIfAbsent的区别就是一个是直接放入并替换,另一个是有就不替换
    blockManagerIdCache.get(id)//返回BlockManagerId对象
  }
}
Example 6
Source File: BlockManagerId.scala    From BigDatalog   with Apache License 2.0 5 votes vote down vote up 
package org.apache.spark.storage

import java.io.{Externalizable, IOException, ObjectInput, ObjectOutput}
import java.util.concurrent.ConcurrentHashMap

import org.apache.spark.SparkContext
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.util.Utils


  def apply(execId: String, host: String, port: Int): BlockManagerId =
    getCachedBlockManagerId(new BlockManagerId(execId, host, port))

  def apply(in: ObjectInput): BlockManagerId = {
    val obj = new BlockManagerId()
    obj.readExternal(in)
    getCachedBlockManagerId(obj)
  }

  val blockManagerIdCache = new ConcurrentHashMap[BlockManagerId, BlockManagerId]()

  def getCachedBlockManagerId(id: BlockManagerId): BlockManagerId = {
    blockManagerIdCache.putIfAbsent(id, id)
    blockManagerIdCache.get(id)
  }
}