I am looking for best practices to handle server restarts. Specifically, I push stock prices to users using websockets for a day trading simulation web app. I have 10k concurrent users. To ensure a responsive ux, I reconnect to the websocket when the onclose event is fired. As our user base has grown we have had to scale our hardware. In addition to better hardware, we have implemented a random delay before reconnecting. The goal of this is to spread out the influx of handshakes when the server restarts ever night (Continuous Deployment). However some of our users have poor internet (isp and or wifi). Their connection constantly drops. For these users I would prefer they reconnect immediately. Is there a solution for this problem that doesn't have the aforementioned tradeoffs?
The question is calling for a subjective response, here is mine :)
Discriminating a client disconnection and a server shutdown:
This can be achieved by sending a shutdown message over the websocket so that active clients can prepare and reconnect with a random delay. Thus, a client that encounters an onclose event without a proper shutdown broadcast would be able to reconnect asap. This means that the client application needs to be modified to account for this special shutdown event.
Handle the handshake load: Some web servers can handle incoming connections as an asynchronous parallel event queue, thus at most X connections will be initialized at the same time (in parallel) and others will wait in a queue until their turn comes. This allows to safeguard the server performance and the websocket handshake will thus be automatically delayed based on the true processing capabilities of the server. Of course, this means a change of web server technology and depends on your use-case.
Related
We have a node instance that has about 2500 client socket connections, everything runs fine except occasionally then something happens to the service (restart or failover event in azure), when the node instances comes back up and all socket connections try to reconnect the service comes to a halt and the log just shows repeated socket connect/disconnects. Even if we stop the service and start it the same thing happens, we currently send out a package to our on premise servers to kill the users chrome sessions then everything works fine as users begin logging in again. We have the clients currently connecting with 'forceNew' and force web sockets only and not the default long polling than upgrade. Any one ever see this or have ideas?
In your socket.io client code, you can force the reconnects to be spread out in time more. The two configuration variables that appear to be most relevant here are:
reconnectionDelay
Determines how long socket.io will initially wait before attempting a reconnect (it should back off from there if the server is down awhile). You can increase this to make it less likely they are all trying to reconnect at the same time.
randomizationFactor
This is a number between 0 and 1.0 and defaults to 0.5. It determines how much the above delay is randomly modified to try to make client reconnects be more random and not all at the same time. You can increase this value to increase the randomness of the reconnect timing.
See client doc here for more details.
You may also want to explore your server configuration to see if it is as scalable as possible with moderate numbers of incoming socket requests. While nobody expects a server to be able to handle 2500 simultaneous connections all at once, the server should be able to queue up these connection requests and serve them as it gets time without immediately failing any incoming connection that can't immediately be handled. There is a desirable middle ground of some number of connections held in a queue (usually controllable by server-side TCP configuration parameters) and then when the queue gets too large connections are failed immediately and then socket.io should back-off and try again a little later. Adjusting the above variables will tell it to wait longer before retrying.
Also, I'm curious why you are using forceNew. That does not seem like it would help you. Forcing webSockets only (no initial polling) is a good thing.
I have read many articles on real-time push notifications. And the resume is that websocket is generally the preferred technique as long as you are not concerned about 100% browser compatibility. And yet, one article states that
Long polling - potentially when you are exchanging single call with
server, and server is doing some work in background.
This is exactly my case. The user presses a button which initiates some complex calculations on server-side, and as soon as the answer is ready, the server sends a push-notification to the client. The question is, can we say that for the case of one-time responses, long-polling is better choice than websockets?
Or unless we are concerned about obsolete browsers support and if I am going to start the project from scratch, websockets should ALWAYS be preferred to long-polling when it comes to push-protocol ?
The question is, can we say that for the case of one-time responses,
long-polling is better choice than websockets?
Not really. Long polling is inefficient (multiple incoming requests, multiple times your server has to check on the state of the long running job), particularly if the usual time period is long enough that you're going to have to poll many times.
If a given client page is only likely to do this operation once, then you can really go either way. There are some advantages and disadvantages to each mechanism.
At a response time of 5-10 minutes you cannot assume that a single http request will stay alive that long awaiting a response, even if you make sure the server side will stay open that long. Clients or intermediate network equipment (proxies, etc...) just make not keep the initial http connection open that long. That would have been the most efficient mechanism if you could have done that. But, I don't think you can count on that for a random network configuration and client configuration that you do not control.
So, that leaves you with several options which I think you already know, but I will describe here for completeness for others.
Option 1:
Establish websocket connection to the server by which you can receive push response.
Make http request to initiate the long running operation. Return response that the operation has been successfully initiated.
Receive websocket push response some time later.
Close webSocket (assuming this page won't be doing this again).
Option 2:
Make http request to initiate the long running operation. Return response that the operation has been successfully initiated and probably some sort of taskID that can be used for future querying.
Using http "long polling" to "wait" for the answer. Since these requests will likely "time out" before the response is received, you will have to regularly long poll until the response is received.
Option 3:
Establish webSocket connection.
Send message over webSocket connection to initiate the operation.
Receive response some time later that the operation is complete.
Close webSocket connection (assuming this page won't be using it any more).
Option 4:
Same as option 3, but using socket.io instead of plain webSocket to give you heartbeat and auto-reconnect logic to make sure the webSocket connection stays alive.
If you're looking at things purely from the networking and server efficiency point of view, then options 3 or 4 are likely to be the most efficient. You only have the overhead of one TCP connection between client and server and that one connection is used for all traffic and the traffic on that one connection is pretty efficient and supports actual push so the client gets notified as soon as possible.
From an architecture point of view, I'm not a fan of option 1 because it just seems a bit convoluted when you initiate the request using one technology and then send the response via another and it requires you to create a correlation between the client that initiated an incoming http request and a connected webSocket. That can be done, but it's extra bookkeeping on the server. Option 2 is simple architecturally, but inefficient (regularly polling the server) so it's not my favorite either.
There is an alterternative that don't require polling or having an open socket connection all the time.
It's called web push.
The Push API gives web applications the ability to receive messages pushed to them from a server, whether or not the web app is in the foreground, or even currently loaded, on a user agent. This lets developers deliver asynchronous notifications and updates to users that opt in, resulting in better engagement with timely new content.
Some perks are
You need to ask for notification permission
Your site needs to have a service worker running in foreground
having a service worker also means you need to have SSL / HTTPS
I am using socket.io 1.4 and I want to know that what happens in this scenario:
The client Emits like this:
Socket.emit('test',data);
The client does 3 emits to server but suddenly Internet speed drops and those emits may not get to server
But after a while the Internet speed rises again but what will happen to previous failed emits?
They will be emitted again automatically?
How should I handle that
Websockets use TCP, which is in general a reliable protocol. There is not exactly such a thing as "The internet speed dropped and I lost some messages." If some messages are lost they will be automatically retransmitted at the TCP level. If retransmission fails completely, the connection will be reset.
So what you really are asking is how socket.io handles this. And the answer is that it has some amount of reconnecting logic, and you may also want to monitor the connection in case it resets (hook up a listener for the disconnect event on the socket), if you want to take some extra action (like notify the user).
I have a client/server setup in which clients send a single request message to the server and gets a bunch of data messages back.
The server is implemented using a ROUTER socket and the clients using a DEALER. The communication is asynchronous.
The clients are typically iPads/iPhones and they connect over wifi so the connection is not 100% reliable.
The issue I’m concern about is if the client connects to the server and sends a request for data but before the response messages are delivered back the communication goes down (e.g. out of wifi coverage).
In this case the messages will be queued up on the server side waiting for the client to reconnect. That is fine for a short time but eventually I would like to drop the messages and the connection to release resources.
By checking activity/timeouts it would be possible in the server and the client applications to identify that the connection is gone. The client can shutdown the socket and in this way free resources but how can it be done in the server?
Per the ZMQ FAQ:
How can I flush all messages that are in the ZeroMQ socket queue?
There is no explicit command for flushing a specific message or all messages from the message queue. You may set ZMQ_LINGER to 0 and close the socket to discard any unsent messages.
Per this mailing list discussion from 2013:
There is no option to drop old messages [from an outgoing message queue].
Your best bet is to implement heartbeating and, when one client stops responding without explicitly disconnecting, restart your ROUTER socket. Messy, I know, this is really something that should have a companion option to HWM. Pieter Hintjens is clearly on board (he created ZMQ) - but that was from 2011, so it looks like nothing ever came of it.
This is a bit late but setting tcp keepalive to a reasonable value will cause dead sockets to close after the timeouts have expired.
Heartbeating is necessary for either side to determine the other side is still responding.
The only thing I'm not sure about is how to go about heartbeating many thousands of clients without spending all available cpu just on dealing with the heartbeats.
I have spring + SockJS application, that is using ActiveMQ as message broker.
Can I have two sockets on same JSP page, one with sending and receiving ,and the other one only for receiving stomp messages(with lot of traffic).Is it guaranteed taht all messages will be delivered and received from both of sockets?
Regards,
Marko
While connected, yes. If you lose the connection at any point, you will lose everything between disconnecting and reconnecting. A related discussion of this issue comes to this conclusion.
Keep in mind that SockJS may result in different connections types on different clients, such as websocket, xhr, xdr, etc. On any connection SockJS will still use TCP and will still guarantee in-order delivery. However, non-websocket connections can take longer to trigger the close event, so you'll have longer black-out periods at the client. Almost any service needs to worry about this, because SockJS will sometimes fail to connect a websocket and "downgrade" to xhr (in my experience under high instantaneous load).
A good pattern is to add a reconnect in the close event handler. The close even is fired even when a connection fails to be established, which means you'll want a back-off latency on the reconnect to prevent a self-inflicted DDoS on your server. Separately, I add sequential packet numbers, and treat any client that detects a missing packet as a late joiner. (See this related ZMQ discussion on late joiners.) Your application needs may vary.