UDP library for Java that works garbage free - java

I'm looking for a UDP library for Java that works garbage free.
The reason is that i'm developing a daemon application for a real-time system.
My requirement is latency of 5 micro-sec per request (from arrival to my socket until the response gets to destination).
There are a couple of messaging services who support UDP and produce no garbage (Tibco FTL & Aeron), but both require that all communicating components will use the flatform.
My situation is that I have no control over the other components, all I know is that i'm going to get UDP messages to my socket and I need to handle them without producing any garbage.
Will appreciate any ideas :)

What do you mean by no garbage ? In UDP you may lose messages, this is inherent to this protocol. If you want to have some reliability on top of UDP you need to have an additional layer to manage acks, retransmissions and etc.. This means that your producer and consumer applications have to use this layer API to send / receive messages.

A very short example of this is just:
import java.lang.System;
public class UdpNoGc {
public static void main(String[] args) throws Exception {
var buf = new byte[1024];
var pkt = new java.net.DatagramPacket(buf, buf.length);
try (var sock = new java.net.DatagramSocket(4321)) {
for (;;) {
sock.receive(pkt);
System.out.write(buf, 0, pkt.getLength());
System.gc();
}
}
}
}
the explicit System.gc() call is just there so you can run with:
java "-Xlog:gc,heap*" UdpNoGc
and see that it doesn't allocate anything after startup. Note that writing code that doesn't allocate is somewhat difficult in Java, it might be easier using another language that provides more support for this.

Related

Netty-TCP-HTTP-MQTT design

I am trying to write a server-side java application that can accept tcp, http and mqtt communication (receive and send/ MongoDB as storage). From research, we decided that it could be a jar application based on Netty and paho for mqtt. We have 3 project using three of these protocols, therefore I am trying to unify the connection module. They each have different protocol style, for example:
-tcp: 0102330123456700
-http: HTTP POST /URL/count {"id":"02","count":"01234567"}
-mqtt: topic /02/count {"count":"01234567"}
Since we are a bit short of time, i am running them three in a silly but quick way---3 different thread listening to 3 different ports.
public class ServerLauncher {
public static void main(String[] args) {
NettyRestServer nettyRestServer = new NettyRestServer();
MqttServer mqttServer = new MqttServer();
EchoServer echoServer = new EchoServer();
new Thread(nettyRestServer,"HTTP Listening").start();
new Thread(mqttServer,"Mqtt Listening").start();
new Thread(echoServer,"socket Listening").start();
}
}
My questions are:
Since they are all based on tcp, is there a good way to manage them all together without wasting thread resource? maybe running just one thread for listening one port. I only find examples of single protocol.
For data storage, is it an okey design to push all the incoming messages to a concurrentHashMap across all thread/channels. Finally with a another thread running scheduled task, storage this concurrentHashMap into MongoDB and reset. or maybe use queue instead of concurrentHashMap
If you use Netty for all of these you can share the same EventLoopGroup for all servers which means all will share the same Threads.
You don't have to use three threads to start Server. You can do all of these in only one ServerBootstrap. And put the logic in ChannelHandler.
Netty's ChannelPipeline can dynamicly change ChannelHandler when getting the connecttion.
ctx.pipeline().addBefore(...)
ctx.pipeline().addAfter(...)
ctx.pipeline().remove(...)

Creating a server, techniques to keep a service running (or blocked?)

When creating a standalone server in Java (not using a container like tomcat/jetty), what are the various techniques to keep the service running and not ending?
I have seen where people use a ServerSocket (since you will be communicating with the service presumably), and they use ServerSocket.accept() which blocks until it receives a message. And this is usually done in a while loop:
while(...) {
serverSocket.accept();
}
(http://docs.oracle.com/javase/6/docs/api/java/net/ServerSocket.html#accept())
Is this the only way? If not, what other ways are there and any pros/cons with it?
Are there any libraries that help with building your own service, or its pretty much roll your own.
There are various libraries that help you roll your own Windows/Unix service in Java:
Apache Commons Daemon
Akuma
Java Service Wrapper
How you keep the application running depends on the actual needs of your application. If your application is a server, you would normally want to listen for incoming connections which usually involves some sort of blocking/polling. How you do that again depends on the type of server you want to build. Of the generic solutions there's the ServerSocket class and its method accept() that you already mentioned. Another possibility is to use java.nio and implement a reactor which provides a single-threaded server that can handle multiple connections at once (see http://gee.cs.oswego.edu/dl/cpjslides/nio.pdf for details), but may be a bit hard to grasp and debug.
What you probably want is a multi-threaded server.
Each time the server accepts a connection, the server creates a thread to handle sending/reciving to that client. If you do not use threads in your server, it will only be able to handle one connection at a time.
So, as you meantioned, the server loops infinitly and listens for incomming connections:
while(true){
serverSocket.accept();
ClientHandler c = new ClientHandler(serverSocket);
A instance of the class ClientHandler will be created each time a connection is accepted. This class implements Runnable, and loops for incomming messages using getInputStream and getOutputStream on that socket:
public class ClientHandler implements Runnable{
DataInputStream in;
DataOutputStream out;
//ClientHandler constructor
public ClientHandler(Socket s) throws IOException{
in= new DataInputStream(socket.getInputStream());
out=new DataOutputStream(socket.getOutputStream());
thread.start();
}
The run method:
public void run() {
while(true){
String temp="";
while ((temp = (String) in.readUTF()) != null){ // Read from the input stream each iteration. When temp is not null a message is recived
System.out.println(temp);
Please that the above code does not take into account different exceptions that might occur and is very basic. But it should give you a basic idea on how a server using Sockets can be implemented.
For a quick solution (in a testing environment only!) you can go for something often dubbed as "Enterprise Loop" (because it is too often found in production systems):
while (true)
try {
// do something
} catch (Throwable t) {
// maybe log
}
However, this is not good style in the production code.
(see [1] for a parody of that idiom)
To create a service, you want one of the libraries from this answer.
If you "just need multithreading", have a look into the Java concurrency framework. I stronly suggest reading Java Concurrency in Practice, as multi-threading is much more that just starting another thread and errors are hard to debug.
[1] http://blog.antiblau.de/2016/01/26/java-enterprise-loop/

A reliable way to read socket data

The application that I am working on has two parts. The server part runs on a Linux machine. The client part, an Android application, queries the server and gets necessary response. Both the parts are written in Java, use socket-based communication, and transfer textual data.
Right after sending the request, here is how the client receives the response:
public static String ReadAvailableTextFromSocket(BufferedReader input) throws IOException {
if (input.ready() == false) {
return null;
}
StringBuilder retVal = new StringBuilder();
while(input.ready()) {
char ch = (char) input.read();
retVal.append(ch);
}
return retVal.toString();
}
However, this doesn't seem to be that reliable. The input is not always ready because of server response time or transmission delays.
Looks like input.ready() is not the right way to wait for getting data.
I am wondering if there is a better way to accomplish this. Perhaps there is some standard practice that I could use.
Perhaps you should use Threads. Keep a listener thread in a while(true) loop that reads more data as it comes in, and simply buffers the data in a data structure (let's say a queue) shared with the main thread. That way, the main thread could simply dequeue data as needed. If the queue is empty, it can infer that no new data was received.
Edit: see this multithreaded chat server/client code as an example.
Here is how I solved this problem. As I am responsible for writing both, the client side as well as the server side, when a request comes to the server, the first line of information I send as the response is the number of bytes the client can expect. This way, the client first waits to read a line. Once the line is read, the client now knows how many bytes of data to expect from the server.
Hope this helps others.
Regards,Peter

Rewriting a tcp stream on the fly: how difficult is it? How about taking a dump of said stream?

I'm trying to write a tcp stream 'tunnel' (similar to the ones SSH handles by default) but with one exception, I have to rewrite certain information as it flows through.
I'm certain there's something similar out there but I have not been able to find it.
I have three main questions:
Is there an easy way to save a tcp stream for observation? (ie using netcat, or a ssh -r/-l/-D, or using some other utility alltogether)
how hard is it to rewrite the stream on the fly?
Edit: The information being rewritten would be just the initial authentication.
A straight pass-through tunnel with logging can be cobbled together from existing (or easily found) utilities.
socat -v -x tcp-l:8080,fork,reuseaddr tcp:localhost:80 2>log
In this example, connecting to http://localhost:8080/ will pass through to http://localhost:80/, and log data transferred to log.
The tool TCPreen is specialized for this exact purpose.
If you have root privileges, there are many analyzers such as tcpdump and tcpflow which can capture packets directly from the network, without having to redirect traffic.
socat can also do some very basic stream modification with the ,cr and ,crnl options, which strip/add/replace \r characters.
In any case, back to the original question… It's been ages since I've written any Java, and this is totally untested, but a tunnel that can modify traffic before retransmitting isn't difficult.
public class ForwardAndChangeCaseThread extends Thread {
private Socket in, out;
public ForwardAndChangeCaseThread(Socket in, Socket out) {
this.in = in; this.out = out;
}
public void run() {
byte[] buf = new byte[4096];
InputStream in = this.in.getInputStream();
OutputStream out = this.out.getOutputStream();
int count;
while ((count = in.read(buf)) > 0) {
for (int i = 0; i < count; i++)
if (buf[i] >= 0x40) buf[i] ^= 0x20;
out.write(buf, 0, count);
}
}
}
public class TcpForwarder {
public static void main(String[] args) {
ServerSocket listen = new ServerSocket(8080, 1);
for (;;) {
Socket local = listen.accept();
Socket remote = new Socket("localhost", 80);
new ForwardAndChangeCaseThread(local, remote).start();
new ForwardAndChangeCaseThread(remote, local).start();
}
}
}
Pretty sure Ettercap supports rewriting of TCP streams.
tcpdump can write out packet captures, which you could then later analyze using Wireshark
If you want to do it programmatically, you could inspect their respective sources to get ideas of where to start.
Not to toot my own horn, but I wrote some code to do exactly this in a framework I wrote a long time ago for asynchronous IO. There are a lot of things about the code that are kind of dated now, but it does work. Here's a link to the web page on it:
The StreamModule System
The thing I wrote that does the tunnel thing you want is called PortForward, and there's also something there that will dump out a TCP stream, but I forgot what I called it. They can be easily combined because of how the framework works.
I'll come back if you want help using it to accomplish that goal. As others have pointed out, it is impossible to re-write an SSL stream on the fly. So if your connection is using encryption and/or MACs (one way this would be true is if it were SSL) you're out of luck.
I'm not sure if this is what you are asking, but ...
You cannot rewrite an SSL stream on the fly unless you have the private key for the server's SSL cert ... or you can intercept it at some point (in the client or server address space) where it is not SSL protected. If you could, SSL would be a waste of time.
Similarly, if you capture the entire contents of an SSL stream (in both directions), it will do you no good, unless you have the relevant private keys.

Java Sockets and Dropped Connections

What's the most appropriate way to detect if a socket has been dropped or not? Or whether a packet did actually get sent?
I have a library for sending Apple Push Notifications to iPhones through the Apple gatways (available on GitHub). Clients need to open a socket and send a binary representation of each message; but unfortunately Apple doesn't return any acknowledgement whatsoever. The connection can be reused to send multiple messages as well. I'm using the simple Java Socket connections. The relevant code is:
Socket socket = socket(); // returns an reused open socket, or a new one
socket.getOutputStream().write(m.marshall());
socket.getOutputStream().flush();
logger.debug("Message \"{}\" sent", m);
In some cases, if a connection is dropped while a message is sent or right before; Socket.getOutputStream().write() finishes successfully though. I expect it's due to the TCP window isn't exhausted yet.
Is there a way that I can tell for sure whether a packet actually got in the network or not? I experimented with the following two solutions:
Insert an additional socket.getInputStream().read() operation with a 250ms timeout. This forces a read operation that fails when the connection was dropped, but hangs otherwise for 250ms.
set the TCP sending buffer size (e.g. Socket.setSendBufferSize()) to the message binary size.
Both of the methods work, but they significantly degrade the quality of the service; throughput goes from a 100 messages/second to about 10 messages/second at most.
Any suggestions?
UPDATE:
Challenged by multiple answers questioning the possibility of the described. I constructed "unit" tests of the behavior I'm describing. Check out the unit cases at Gist 273786.
Both unit tests have two threads, a server and a client. The server closes while the client is sending data without an IOException thrown anyway. Here is the main method:
public static void main(String[] args) throws Throwable {
final int PORT = 8005;
final int FIRST_BUF_SIZE = 5;
final Throwable[] errors = new Throwable[1];
final Semaphore serverClosing = new Semaphore(0);
final Semaphore messageFlushed = new Semaphore(0);
class ServerThread extends Thread {
public void run() {
try {
ServerSocket ssocket = new ServerSocket(PORT);
Socket socket = ssocket.accept();
InputStream s = socket.getInputStream();
s.read(new byte[FIRST_BUF_SIZE]);
messageFlushed.acquire();
socket.close();
ssocket.close();
System.out.println("Closed socket");
serverClosing.release();
} catch (Throwable e) {
errors[0] = e;
}
}
}
class ClientThread extends Thread {
public void run() {
try {
Socket socket = new Socket("localhost", PORT);
OutputStream st = socket.getOutputStream();
st.write(new byte[FIRST_BUF_SIZE]);
st.flush();
messageFlushed.release();
serverClosing.acquire(1);
System.out.println("writing new packets");
// sending more packets while server already
// closed connection
st.write(32);
st.flush();
st.close();
System.out.println("Sent");
} catch (Throwable e) {
errors[0] = e;
}
}
}
Thread thread1 = new ServerThread();
Thread thread2 = new ClientThread();
thread1.start();
thread2.start();
thread1.join();
thread2.join();
if (errors[0] != null)
throw errors[0];
System.out.println("Run without any errors");
}
[Incidentally, I also have a concurrency testing library, that makes the setup a bit better and clearer. Checkout the sample at gist as well].
When run I get the following output:
Closed socket
writing new packets
Finished writing
Run without any errors
This not be of much help to you, but technically both of your proposed solutions are incorrect. OutputStream.flush() and whatever else API calls you can think of are not going to do what you need.
The only portable and reliable way to determine if a packet has been received by the peer is to wait for a confirmation from the peer. This confirmation can either be an actual response, or a graceful socket shutdown. End of story - there really is no other way, and this not Java specific - it is fundamental network programming.
If this is not a persistent connection - that is, if you just send something and then close the connection - the way you do it is you catch all IOExceptions (any of them indicate an error) and you perform a graceful socket shutdown:
1. socket.shutdownOutput();
2. wait for inputStream.read() to return -1, indicating the peer has also shutdown its socket
After much trouble with dropped connections, I moved my code to use the enhanced format, which pretty much means you change your package to look like this:
This way Apple will not drop a connection if an error happens, but will write a feedback code to the socket.
If you're sending information using the TCP/IP protocol to apple you have to be receiving acknowledgements. However you stated:
Apple doesn't return any
acknowledgement whatsoever
What do you mean by this? TCP/IP guarantees delivery therefore receiver MUST acknowledge receipt. It does not guarantee when the delivery will take place, however.
If you send notification to Apple and you break your connection before receiving the ACK there is no way to tell whether you were successful or not so you simply must send it again. If pushing the same information twice is a problem or not handled properly by the device then there is a problem. The solution is to fix the device handling of the duplicate push notification: there's nothing you can do on the pushing side.
#Comment Clarification/Question
Ok. The first part of what you understand is your answer to the second part. Only the packets that have received ACKS have been sent and received properly. I'm sure we could think of some very complicated scheme of keeping track of each individual packet ourselves, but TCP is suppose to abstract this layer away and handle it for you. On your end you simply have to deal with the multitude of failures that could occur (in Java if any of these occur an exception is raised). If there is no exception the data you just tried to send is sent guaranteed by the TCP/IP protocol.
Is there a situation where data is seemingly "sent" but not guaranteed to be received where no exception is raised? The answer should be no.
#Examples
Nice examples, this clarifies things quite a bit. I would have thought an error would be thrown. In the example posted an error is thrown on the second write, but not the first. This is interesting behavior... and I wasn't able to find much information explaining why it behaves like this. It does however explain why we must develop our own application level protocols to verify delivery.
Looks like you are correct that without a protocol for confirmation their is no guarantee the Apple device will receive the notification. Apple also only queue's the last message. Looking a little bit at the service I was able to determine this service is more for convenience for the customer, but cannot be used to guarantee service and must be combined with other methods. I read this from the following source.
http://blog.boxedice.com/2009/07/10/how-to-build-an-apple-push-notification-provider-server-tutorial/
Seems like the answer is no on whether or not you can tell for sure. You may be able to use a packet sniffer like Wireshark to tell if it was sent, but this still won't guarantee it was received and sent to the device due to the nature of the service.

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