I have around 60 sockets and 20 threads and I want to make sure each thread works on different socket everytime so I don't want to share same socket between two threads at all.
In my SocketManager
class, I have a background thread which runs every 60 seconds and calls updateLiveSockets()
method. In the updateLiveSockets()
method, I iterate all the sockets I have and then start pinging them one by one by calling send
method of SendToQueue
class and basis on the response I mark them as live or dead. In the updateLiveSockets()
method, I always need to iterate all the sockets and ping them to check whether they are live or dead.
Now all the reader threads will call getNextSocket()
method of SocketManager
class concurrently to get the next live available socket to send the business message on that socket. So I have two types of messages which I am sending on a socket:
ping
message on a socket. This is only sent from timer thread calling updateLiveSockets()
method in SocketManager
class.business
message on a socket. This is done in SendToQueue
class.So if pinger thread is pinging a socket to check whether they are live or not then no other business thread should use that socket. Similarly if business thread is using a socket to send data on it, then pinger thread should not ping that socket. And this applies to all the socket. But I need to make sure that in updateLiveSockets
method, we are pinging all the available sockets whenever my background thread starts so that we can figure out which socket is live or dead.
Below is my SocketManager
class:
public class SocketManager {
private static final Random random = new Random();
private final ScheduledExecutorService scheduler = Executors.newSingleThreadScheduledExecutor();
private final Map<Datacenters, List<SocketHolder>> liveSocketsByDatacenter =
new ConcurrentHashMap<>();
private final ZContext ctx = new ZContext();
// ...
private SocketManager() {
connectToZMQSockets();
scheduler.scheduleAtFixedRate(new Runnable() {
public void run() {
updateLiveSockets();
}
}, 60, 60, TimeUnit.SECONDS);
}
// during startup, making a connection and populate once
private void connectToZMQSockets() {
Map<Datacenters, List<String>> socketsByDatacenter = Utils.SERVERS;
for (Map.Entry<Datacenters, List<String>> entry : socketsByDatacenter.entrySet()) {
List<SocketHolder> addedColoSockets = connect(entry.getValue(), ZMQ.PUSH);
liveSocketsByDatacenter.put(entry.getKey(), addedColoSockets);
}
}
private List<SocketHolder> connect(List<String> paddes, int socketType) {
List<SocketHolder> socketList = new ArrayList<>();
// ....
return socketList;
}
// this method will be called by multiple threads concurrently to get the next live socket
// is there any concurrency or thread safety issue or race condition here?
public Optional<SocketHolder> getNextSocket() {
for (Datacenters dc : Datacenters.getOrderedDatacenters()) {
Optional<SocketHolder> liveSocket = getLiveSocket(liveSocketsByDatacenter.get(dc));
if (liveSocket.isPresent()) {
return liveSocket;
}
}
return Optional.absent();
}
private Optional<SocketHolder> getLiveSocket(final List<SocketHolder> listOfEndPoints) {
if (!listOfEndPoints.isEmpty()) {
// The list of live sockets
List<SocketHolder> liveOnly = new ArrayList<>(listOfEndPoints.size());
for (SocketHolder obj : listOfEndPoints) {
if (obj.isLive()) {
liveOnly.add(obj);
}
}
if (!liveOnly.isEmpty()) {
// The list is not empty so we shuffle it an return the first element
return Optional.of(liveOnly.get(random.nextInt(liveOnly.size()))); // just pick one
}
}
return Optional.absent();
}
// runs every 60 seconds to ping all the available socket to make sure whether they are alive or not
private void updateLiveSockets() {
Map<Datacenters, List<String>> socketsByDatacenter = Utils.SERVERS;
for (Map.Entry<Datacenters, List<String>> entry : socketsByDatacenter.entrySet()) {
List<SocketHolder> liveSockets = liveSocketsByDatacenter.get(entry.getKey());
List<SocketHolder> liveUpdatedSockets = new ArrayList<>();
for (SocketHolder liveSocket : liveSockets) {
Socket socket = liveSocket.getSocket();
String endpoint = liveSocket.getEndpoint();
Map<byte[], byte[]> holder = populateMap();
Message message = new Message(holder, Partition.COMMAND);
// pinging to see whether a socket is live or not
boolean isLive = SendToQueue.getInstance().send(message.getAddress(), message.getEncodedRecords(), socket);
SocketHolder zmq = new SocketHolder(socket, liveSocket.getContext(), endpoint, isLive);
liveUpdatedSockets.add(zmq);
}
liveSocketsByDatacenter.put(entry.getKey(), Collections.unmodifiableList(liveUpdatedSockets));
}
}
}
And here is my SendToQueue
class:
// this method will be called by multiple reader threads (around 20) concurrently to send the data
public boolean sendAsync(final long address, final byte[] encodedRecords) {
PendingMessage m = new PendingMessage(address, encodedRecords, true);
cache.put(address, m);
return doSendAsync(m);
}
private boolean doSendAsync(final PendingMessage pendingMessage) {
Optional<SocketHolder> liveSocket = SocketManager.getInstance().getNextSocket();
if (!liveSocket.isPresent()) {
// log error
return false;
}
ZMsg msg = new ZMsg();
msg.add(pendingMessage.getEncodedRecords());
try {
// send data on a socket LINE A
return msg.send(liveSocket.get().getSocket());
} finally {
msg.destroy();
}
}
public boolean send(final long address, final byte[] encodedRecords, final Socket socket) {
PendingMessage m = new PendingMessage(address, encodedRecords, socket, false);
cache.put(address, m);
try {
if (doSendAsync(m, socket)) {
return m.waitForAck();
}
return false;
} finally {
cache.invalidate(address);
}
}
Problem Statement
Now as you can see above that I am sharing same socket between two threads. It seems getNextSocket()
in SocketManager
class could return a 0MQ socket
to Thread A
. Concurrently, the timer thread
may access the same 0MQ socket
to ping it. In this case Thread A
and the timer thread
are mutating the same 0MQ socket
, which can lead to problems. So I am trying to find a way so that I can prevent different threads from sending data to the same socket at the same time and mucking up my data.
One solution I can think of is using synchronization
on a socket while sending the data but if many threads uses the same socket, resources aren't well utilized. Moreover If msg.send(socket);
is blocked (technically it shouldn't) all threads waiting for this socket are blocked. So I guess there might be a better way to ensure that every thread uses a different single live socket at the same time instead of synchronization on a particular socket.
Yes, one thread can read from the socket at the same time that another thread is writing to it. Just don't have multiple threads reading at the same time, or writing at the same time.
Sockets can be shared among threads in a given process without using the WSADuplicateSocket function because a socket descriptor is valid in all threads of a process.
In the same multithreaded process in a shared-memory multiprocessor environment, each thread in the process can run concurrently on a separate processor, resulting in parallel execution, which is true simultaneous execution.
If another thread tries to access any method declared with the synchronized keyword of the same object, it will be suspended until the first thread finishes the execution of the method.
It looks like you should consider using the try-with-resource feature here. You have the SocketHolder or Option class implement the AutoCloseable interface. For instance, let us assume that Option implements this interface. The Option close method will then add back the instance to the container. I created a simple example that shows what I mean. It is not complete but it gives you an idea on how to implement this in your code.
public class ObjectManager implements AutoCloseable {
private static class ObjectManagerFactory {
private static ObjectManager objMgr = new ObjectManager();
}
private ObjectManager() {}
public static ObjectManager getInstance() { return ObjectManagerFactory.objMgr; }
private static final int SIZE = 10;
private static BlockingQueue<AutoCloseable> objects = new LinkedBlockingQueue<AutoCloseable>();
private static ScheduledExecutorService sch;
static {
for(int cnt = 0 ; cnt < SIZE ; cnt++) {
objects.add(new AutoCloseable() {
@Override
public void close() throws Exception {
System.out.println(Thread.currentThread() + " - Adding object back to pool:" + this + " size: " + objects.size());
objects.put(this);
System.out.println(Thread.currentThread() + " - Added object back to pool:" + this);
}
});
}
sch = Executors.newSingleThreadScheduledExecutor();
sch.scheduleAtFixedRate(new Runnable() {
@Override
public void run() {
// TODO Auto-generated method stub
updateObjects();
}
}, 10, 10, TimeUnit.MICROSECONDS);
}
static void updateObjects() {
for(int cnt = 0 ; ! objects.isEmpty() && cnt < SIZE ; cnt++ ) {
try(AutoCloseable object = objects.take()) {
System.out.println(Thread.currentThread() + " - updateObjects - updated object: " + object + " size: " + objects.size());
} catch (Throwable t) {
// TODO Auto-generated catch block
t.printStackTrace();
}
}
}
public AutoCloseable getNext() {
try {
return objects.take();
} catch (InterruptedException e) {
// TODO Auto-generated catch block
e.printStackTrace();
return null;
}
}
public static void main(String[] args) {
try (ObjectManager mgr = ObjectManager.getInstance()) {
for (int cnt = 0; cnt < 5; cnt++) {
try (AutoCloseable o = mgr.getNext()) {
System.out.println(Thread.currentThread() + " - Working with " + o);
Thread.sleep(1000);
} catch (Throwable t) {
t.printStackTrace();
}
}
} catch (Throwable tt) {
tt.printStackTrace();
}
}
@Override
public void close() throws Exception {
// TODO Auto-generated method stub
ObjectManager.sch.shutdownNow();
}
}
So I am trying to find a way so that I can prevent different threads from sending data to the same socket at the same time and mucking up my data.
There are certainly a number of different ways to do this. For me this seems like a BlockingQueue
is the right thing to use. The business threads would take a socket from the queue and would be guaranteed that no one else would be using that socket.
private final BlockingQueue<SocketHolder> socketHolderQueue = new LinkedBlockingQueue<>();
...
public Optional<SocketHolder> getNextSocket() {
SocketHolder holder = socketHolderQueue.poll();
return holder;
}
...
public void finishedWithSocket(SocketHolder holder) {
socketHolderQueue.put(holder);
}
I think that synchronizing on the socket is not a good idea for the reasons that you mention – the ping thread will be blocking the business thread.
There are a number of ways of handling the ping thread logic. I would store your Socket
with a last use time and then your ping thread could every so often take each of the sockets from the same BlockingQueue
, test it, and put each back onto the end of the queue after testing.
public void testSockets() {
// one run this for as many sockets as are in the queue
int numTests = socketHolderQueue.size();
for (int i = 0; i < numTests; i++) {
SocketHolder holder = socketHolderQueue.poll();
if (holder == null) {
break;
}
if (socketIsOk(socketHolder)) {
socketHolderQueue.put(socketHolder);
} else {
// close it here or something
}
}
}
You could also have the getNextSocket()
code that dequeues the threads from the queue check the timer and put them on a test queue for the ping thread to use and then take the next one from the queue. The business threads would never be using the same socket at the same time as the ping thread.
Depending on when you want to test the sockets, you can also reset the timer after the business thread returns it to the queue so the ping thread would test the socket after X seconds of no use.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With