我正在发送非常大的（64000字节）数据报。我意识到MTU比64000字节小得多（从我的阅读来看，典型值约为1500字节），但我怀疑会发生以下两种情况之一 - 要么没有数据报能够通过（大于1500字节的所有内容都会被静默丢弃或导致抛出错误/异常），要么64000字节的数据报将被分块为大约43 1500字节的消息并透明地传输。

从长远来看（2000+ 64000字节数据报），大约1%的数据报（即使是LAN似乎异常高）的数据报都会被丢弃。我可能期望通过网络来实现这一点，其中数据报可以无序到达，被丢弃，过滤等等。但是，在本地主机上运行时，我没想到会这样。

是什么原因导致无法在本地发送/接收数据？我意识到UDP是不可靠的，但我没想到它在localhost上如此不可靠。我想知道这是否只是一个时间问题，因为发送和接收组件都在同一台计算机上。

为了完整起见，我包含了用于发送/接收数据报的代码。

发送：

DatagramSocket socket = new DatagramSocket(senderPort);

int valueToSend = 0;

while (valueToSend < valuesToSend || valuesToSend == -1) {
    byte[] intBytes = intToBytes(valueToSend);

    byte[] buffer = new byte[bufferSize - 4];

     //this makes sure that the data is put into an array of the size we want to send
    byte[] bytesToSend = concatAll(intBytes, buffer);

    System.out.println("Sending " + valueToSend + " as " + bytesToSend.length + " bytes");

    DatagramPacket packet = new DatagramPacket(bytesToSend,
                        bufferSize, receiverAddress, receiverPort);

    socket.send(packet);

    Thread.sleep(delay);

    valueToSend++;
}

接收：

DatagramSocket socket = new DatagramSocket(receiverPort);

while (true) {
    DatagramPacket packet = new DatagramPacket(
            new byte[bufferSize], bufferSize);

    System.out.println("Waiting for datagram...");
    socket.receive(packet);

    int receivedValue = bytesToInt(packet.getData(), 0);

    System.out.println("Received: " + receivedValue
            + ". Expected: " + expectedValue);

    if (receivedValue == expectedValue) {
        receivedDatagrams++;
        totalDatagrams++;
    }
    else {
        droppedDatagrams++;
        totalDatagrams++;
    }

    expectedValue = receivedValue + 1;
    System.out.println("Expected Datagrams: " + totalDatagrams);
    System.out.println("Received Datagrams: " + receivedDatagrams);
    System.out.println("Dropped Datagrams: " + droppedDatagrams);
    System.out.println("Received: "
            + ((double) receivedDatagrams / totalDatagrams));
    System.out.println("Dropped: "
            + ((double) droppedDatagrams / totalDatagrams));
    System.out.println();
}