Synchronous Vs Asynchronous on iPhone - iphone

I was wondering what is should do in my case. I have to get data from a rest server and display it on my application. The UI for this is a webview and if no data is received from the server then there is nothing to display on the screen. In this case do i use an async request or a sync request? Also my other question is what is the difference between an async request as opposed to sync request on a seperate thread? (I thought thats what async does anyway).. ANy help would be greatly appreciated. Im a newbie to ios.. Thanks

You should always use asynchronous loading of network requests. Never block the main thread waiting for a network response.
Asynchronous can be either synchronous on a separate thread, or scheduled in the run loop of any thread.
Hope this helps!

The difference between Asynchronous and Synchronous is that Synchronous is the more efficient method of PC communication. However Asynchronous is the most common method of communication used for email applications, internet access and networking. Synchronous is usually used for transmission of large data bocks.

Related

Making a HTTP API server asynchronous with Future, how does it make it non-blocking?

I am trying to write a HTTP API server which does basic CRUD operation on a specific resource. It talks to an external db server to do the operations.
Future support in scala is pretty good, and for all non-blocking computation, future is used. I have used future in many places where we wrap an operation with future and move on, when the value is eventually available and the call back is triggered.
Coming to an HTTP API server's context, it is possible to implement non-blocking asynchronous calls, but when a GET or a POST call still blocks the main thread right?
When a GET request is made, a success 200 means the data is written to the db successfully and not lost. Until the data is written to the server, the thread that was created is still blocking until the final acknowledgement has been received from the database that the insert is successful right?
The main thread(created when http request was received) could delegate and get a Future back, but is it still blocked until the onSuccess is trigged which gets triggered when the value is available, which means the db call was successful.
I am failing to understand how efficiently a HTTP server could be designed to maximize efficiency, what happens when few hundred requests hit a specific endpoint and how it is dealt with. I've been told that slick takes the best approach.
If someone could explain a successful http request lifecycle with future and without future, assuming there are 100 db connection threads.
When a GET request is made, a success 200 means the data is written to
the db successfully and not lost. Until the data is written to the
server, the thread that was created is still blocking until the final
acknowledgement has been received from the database that the insert is
successful right?
The thread that was created for the specific request need not be blocked at all. When you start an HTTP server, you always have the "main" thread ongoing and waiting for requests to come in. Once a request starts, it is usually offloaded to a thread which is taken from the thread pool (or ExecutionContext). The thread serving the request doesn't need to block anything, it only needs to register a callback which says "once this future completes, please complete this request with a success or failure indication". In the meanwhile, the client socket is still pending a response from your server, nothing returns. If, for example, we're on Linux and using epoll, then we pass the kernel a list of file descriptors to monitor for incoming data and wait for that data to become available, in which we will get back a notification for.
We get this for free when running on top of the JVM due to how java.NIO is implemented for Linux.
The main thread (created when http request was received) could delegate
and get a Future back, but is it still blocked until the onSuccess is
trigged which gets triggered when the value is available, which means
the db call was successful.
The main thread usually won't be blocked, as it is whats in charge of accepting new incoming connections. If you think about it logically, if the main thread blocked until your request completed, that means that we could only serve one concurrent request, and who wants a server which can only handle a single request at a time?
In order for it to be able to accept multiple request, it will never handle the processing of the route on the thread in which it accepts the connection, it will always delegate it to a background thread to do that work.
In general, there are many ways of doing efficient IO in both Linux and Windows. The former has epoll while the latter has IO completion ports. For more on how epoll works internally, see https://eklitzke.org/blocking-io-nonblocking-io-and-epoll
First off, there has to be something blocking the final main thread for it to keep running. But it's no different than having a threadpool and joining to it. I'm not exactly sure what you're asking here, since I think we both agree that using threads/concurrency is better than a single threaded operation.
Future is easy and efficient because it abstracts all the thread handling from you. By default, all new futures run in the global implicit ExecutionContext, which is just a default threadpool. Once you kick of a Future request, that thread will spawn and run, and your program execution will continue. There are also convenient constructs to directly manipulate the results of a future. For example, you can map, and flatMap on futures, and once that future(thread) returns, it will run your transformation.
It's not like single threaded languages where a single future will actually block the entire execution if you have a blocking call.
When you're comparing efficiency, what are you comparing it to?
In general "non-blocking" may mean different things in different contexts: non-blocking = asynchronous (your second question) and non-blocking = non-blocking IO (your first question). The second question is a bit simpler (addresses more traditional or well-known aspect let's say), so let's start from it.
The main thread(created when http request was received) could delegate and get a Future back, but is it still blocked until the onSuccess is trigged which gets triggered when the value is available, which means the db call was successful.
It is not blocked, because Future runs on different thread, so your main thread and thread where you execute your db call logic run concurrently (main thread still able to handle other requests while db call code of previous request is executing).
When a GET request is made, a success 200 means the data is written to the db successfully and not lost. Until the data is written to the server, the thread that was created is still blocking until the final acknowledgement has been received from the database that the insert is successful right?
This aspect is about IO. Thread making DB call (Network IO) is not necessary blocked. It is the case for old "thread per request" model, when thread is really blocked and you need create another thread for another DB request. However, nowadays non-blocking IO became popular. You can google for more details about it, but in general it allows you to use one thread for several IO operations.

Netty send event to sockets

I am building socket web server with Netty 5.0. I came through WebSocketServer example (https://github.com/netty/netty/tree/master/example/src/main/java/io/netty/example/http/websocketx/server).
But I can't understand how to send events to sockets from separate thread. So I have a thread which each second loads some data from external resource. This is StockThread which receives stock data. After receiving data the thread should send events to sockets. What is best practise to do this?
It am using following approach: inside StockThread I store list of ChannelHandlerContext. After receving data I just call write() method of ChannelHandlerContext. So write() method is called from StockThread. Is it okay or there is more appropriate way for this?
Yes, ChannelHandlerContext is thread-safe and can be cached, so this way of usage is completely ok.
See note from "Netty In Action" book, that proves my words:
You can keep the ChannelHandlerContext for later use,
such as triggering an event outside the handler methods,
even from a different Thread.

What is the difference between asynchronous and synchronous HTTP request?

What is the difference between asynchronous and synchronous HTTP request?
Synchronous:
A synchronous request blocks the client until operation completes. In such case, javascript engine of the browser is blocked.
Asynchronous
An asynchronous request doesn’t block the client i.e. browser is responsive. At that time, user can perform another operations also. In such case, javascript engine of the browser is not blocked.
Check out Determining synchronous vs. asynchronous in web applications for previous discussion. In short:
Asynchronous APIs do not block. Every synchronous call waits and blocks for your results to > come back. This is just a sleeping thread and wasted computation.
Asynchronous APIs do not block. Every synchronous call waits and blocks for your results to come back. This is just a sleeping thread and wasted computation.
If you need something to happen, send an asynchronous request and do further computation when the request returns. This means your thread sits idle and can pick up other work.
Asynchronous requests is the way to scale to thousands of concurrent users.
Sachin Gandhwani's answer is very well explained in simple words. In case you are still not convinced with the difference of asynchronous HTTP request and synchronous HTTP request, you can read this - https://developer.mozilla.org/en-US/docs/Web/API/XMLHttpRequest/Synchronous_and_Asynchronous_Requests
A synchronous client constructs an HTTP structure, sends a request, and waits for a response. An asynchronous client constructs an HTTP structure, sends a request, and moves on. In this case, the client is notified when the response arrives. The original thread, or another thread, can then process the response. Although asynchronous behavior can result in faster overall execution, synchronous behavior might be preferred in certain cases where more simplified code is necessary.

How to run CFSocket on a background thread for more accurate ping time?

Background...
I am modifying Apple’s SimplePing example to do an ICMP ping for an iPhone app. The code wraps a native socket in a CFSocket object specifying a read callback, then adds it as a run loop source on the main thread. When a packet is sent to the socket, the callback is invoked to time the round trip, verify the contents, update the UI, etc.
Question...
What would be the best approach for moving this processing to a background thread so the ping time is as accurate as possible? I need to measure the precise time between the call to the socket “sendto” method and the callback invocation without interruption.
Any examples or pseudo code would be extremely helpful. I have done a lot of reading on threading in Cocoa (NSThread vs. NSOperation, NSRunLoop, etc.), but so far, I can’t quite piece it all together.
Thanks
Do you need to support iOS 3.x? If not, you could look into using Grand Central Dispatch; in this scenario, you would specify the socket as a source for a dispatch queue and give it the highest priority.

what is blocking and non-blocking web server, what difference between both?

I have seen many a web framework provide a non-blocking web server, I just want to know what it means.
a blocking web-server is similar to a phone call. you need to wait on-line to get a response and continue; where as a non-blocking web-server is like a sms service. you sms your request,do your things and react when you receive an sms back!
Using a blocking socket, execution will wait (ie. "block") until the full socket operation has taken place. So, you can process any results/responses in your code immediately after. These are also called synchronous sockets.
A non-blocking socket operation will allow execution to resume immediately and you can handle the server's response with a callback or event. These are called asynchronous sockets.
Non-blocking generally means event driven, multiplexing all activity via an event driven system in a single thread, as opposed to using multiple threads.