spark RawTextSender 源码

  • 2022-10-20
  • 浏览 (376)

spark RawTextSender 代码

文件路径:/streaming/src/main/scala/org/apache/spark/streaming/util/RawTextSender.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.util

import java.io.{ByteArrayOutputStream, IOException}
import java.net.ServerSocket
import java.nio.ByteBuffer

import scala.io.Source

import org.apache.spark.SparkConf
import org.apache.spark.internal.Logging
import org.apache.spark.serializer.KryoSerializer
import org.apache.spark.util.{IntParam, Utils}

/**
 * A helper program that sends blocks of Kryo-serialized text strings out on a socket at a
 * specified rate. Used to feed data into RawInputDStream.
 */
private[streaming]
object RawTextSender extends Logging {
  def main(args: Array[String]): Unit = {
    if (args.length != 4) {
      // scalastyle:off println
      System.err.println("Usage: RawTextSender <port> <file> <blockSize> <bytesPerSec>")
      // scalastyle:on println
      System.exit(1)
    }
    // Parse the arguments using a pattern match
    val Array(IntParam(port), file, IntParam(blockSize), IntParam(bytesPerSec)) = args

    // Repeat the input data multiple times to fill in a buffer
    val lines = Utils.tryWithResource(Source.fromFile(file))(_.getLines().toArray)
    val bufferStream = new ByteArrayOutputStream(blockSize + 1000)
    val ser = new KryoSerializer(new SparkConf()).newInstance()
    val serStream = ser.serializeStream(bufferStream)
    var i = 0
    while (bufferStream.size < blockSize) {
      serStream.writeObject(lines(i))
      i = (i + 1) % lines.length
    }
    val array = bufferStream.toByteArray

    val countBuf = ByteBuffer.wrap(new Array[Byte](4))
    countBuf.putInt(array.length)
    countBuf.flip()

    val serverSocket = new ServerSocket(port)
    logInfo("Listening on port " + port)

    while (true) {
      val socket = serverSocket.accept()
      logInfo("Got a new connection")
      val out = new RateLimitedOutputStream(socket.getOutputStream, bytesPerSec)
      try {
        while (true) {
          out.write(countBuf.array)
          out.write(array)
        }
      } catch {
        case e: IOException =>
          logError("Client disconnected")
      } finally {
        socket.close()
      }
    }
  }
}

相关信息

spark 源码目录

相关文章

spark BatchedWriteAheadLog 源码

spark FileBasedWriteAheadLog 源码

spark FileBasedWriteAheadLogRandomReader 源码

spark FileBasedWriteAheadLogReader 源码

spark FileBasedWriteAheadLogSegment 源码

spark FileBasedWriteAheadLogWriter 源码

spark HdfsUtils 源码

spark RateLimitedOutputStream 源码

spark RawTextHelper 源码

spark RecurringTimer 源码

0  赞