spark SocketInputDStream 源码

  • 2022-10-20
  • 浏览 (184)

spark SocketInputDStream 代码

文件路径:/streaming/src/main/scala/org/apache/spark/streaming/dstream/SocketInputDStream.scala

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.spark.streaming.dstream

import java.io._
import java.net.{ConnectException, Socket}
import java.nio.charset.StandardCharsets

import scala.reflect.ClassTag
import scala.util.control.NonFatal

import org.apache.spark.internal.Logging
import org.apache.spark.storage.StorageLevel
import org.apache.spark.streaming.StreamingContext
import org.apache.spark.streaming.receiver.Receiver
import org.apache.spark.util.NextIterator

private[streaming]
class SocketInputDStream[T: ClassTag](
    _ssc: StreamingContext,
    host: String,
    port: Int,
    bytesToObjects: InputStream => Iterator[T],
    storageLevel: StorageLevel
  ) extends ReceiverInputDStream[T](_ssc) {

  def getReceiver(): Receiver[T] = {
    new SocketReceiver(host, port, bytesToObjects, storageLevel)
  }
}

private[streaming]
class SocketReceiver[T: ClassTag](
    host: String,
    port: Int,
    bytesToObjects: InputStream => Iterator[T],
    storageLevel: StorageLevel
  ) extends Receiver[T](storageLevel) with Logging {

  private var socket: Socket = _

  def onStart(): Unit = {

    logInfo(s"Connecting to $host:$port")
    try {
      socket = new Socket(host, port)
    } catch {
      case e: ConnectException =>
        restart(s"Error connecting to $host:$port", e)
        return
    }
    logInfo(s"Connected to $host:$port")

    // Start the thread that receives data over a connection
    new Thread("Socket Receiver") {
      setDaemon(true)
      override def run(): Unit = { receive() }
    }.start()
  }

  def onStop(): Unit = {
    // in case restart thread close it twice
    synchronized {
      if (socket != null) {
        socket.close()
        socket = null
        logInfo(s"Closed socket to $host:$port")
      }
    }
  }

  /** Create a socket connection and receive data until receiver is stopped */
  def receive(): Unit = {
    try {
      val iterator = bytesToObjects(socket.getInputStream())
      while(!isStopped && iterator.hasNext) {
        store(iterator.next())
      }
      if (!isStopped()) {
        restart("Socket data stream had no more data")
      } else {
        logInfo("Stopped receiving")
      }
    } catch {
      case NonFatal(e) =>
        logWarning("Error receiving data", e)
        restart("Error receiving data", e)
    } finally {
      onStop()
    }
  }
}

private[streaming]
object SocketReceiver  {

  /**
   * This methods translates the data from an inputstream (say, from a socket)
   * to '\n' delimited strings and returns an iterator to access the strings.
   */
  def bytesToLines(inputStream: InputStream): Iterator[String] = {
    val dataInputStream = new BufferedReader(
      new InputStreamReader(inputStream, StandardCharsets.UTF_8))
    new NextIterator[String] {
      protected override def getNext() = {
        val nextValue = dataInputStream.readLine()
        if (nextValue == null) {
          finished = true
        }
        nextValue
      }

      protected override def close(): Unit = {
        dataInputStream.close()
      }
    }
  }
}

相关信息

spark 源码目录

相关文章

spark ConstantInputDStream 源码

spark DStream 源码

spark DStreamCheckpointData 源码

spark FileInputDStream 源码

spark FilteredDStream 源码

spark FlatMapValuedDStream 源码

spark FlatMappedDStream 源码

spark ForEachDStream 源码

spark GlommedDStream 源码

spark InputDStream 源码

0  赞