asynchronous

问题 I'm trying asynchronous processing support in servlet 3.1 with GAE J8 standard environment (no extensible environment). Basically I have a servlet annotated with @WebServlet(name = "MyServletName", urlPatterns = {"/dosomething"}, asyncSupported = true) and to obtain an instance of AsyncContext I call (in doPost method) final AsyncContext asyncContext = httpServletRequest.startAsync(httpServletRequest, httpServletResponse); But asynchronous processing support seems to have some problems in GAE

问题 I've ported a library FluentFTP to .NET standard/.NET core but the async methods use BeginInvoke within an async/await block. So its something like this: async ConnectAsync(){ BeginConnect(); } void BeginConnect(){ BeginInvoke(...) << error at this point } At that point I get a PlatformNotSupported exception. What can be done to support this on .NET core? Full info here. Full code here: ConnectAsync, BeginConnect. 回答1: Asynchronous I/O methods should not use Delegate.BeginInvoke . That's

问题 For asynchronous logging, what happens to the logs that are not yet written to the destination appender and the application/system goes down? Do we loose these logs (since they are in memory) or is there a way to recover them? I don't want to loose any ERROR level logging. So my next question is: Is there a way to configure sync and async logging for a single appender at log level? For e.g. I want my file appender to perform ERROR level logging synchronously while INFO/DEBUG asynchronously?

问题 I have the following code which read and write for each id sequentially. async def main(): while id < 1000: data = await read_async(id) await data.write_async(f'{id}.csv') id += 1 read_async() takes several minutes and write_async() takes less than one minute to run. Now I want to Run read_async(id) in parallel. However, at most 3 calls can be run in parallel because of memory limitation. write_async has to be run sequentially, i.e., write_async(n+1) cannot be run before write_async(n) . 回答1:

问题 I have the following code which read and write for each id sequentially. async def main(): while id < 1000: data = await read_async(id) await data.write_async(f'{id}.csv') id += 1 read_async() takes several minutes and write_async() takes less than one minute to run. Now I want to Run read_async(id) in parallel. However, at most 3 calls can be run in parallel because of memory limitation. write_async has to be run sequentially, i.e., write_async(n+1) cannot be run before write_async(n) . 回答1:

问题 I have the following code which read and write for each id sequentially. async def main(): while id < 1000: data = await read_async(id) await data.write_async(f'{id}.csv') id += 1 read_async() takes several minutes and write_async() takes less than one minute to run. Now I want to Run read_async(id) in parallel. However, at most 3 calls can be run in parallel because of memory limitation. write_async has to be run sequentially, i.e., write_async(n+1) cannot be run before write_async(n) . 回答1:

问题 I am aiming to understand what exactly is it about certain JavaScript functions that make them asynchronous. You could have a function like this: function someRandomFunction () { for (let i of everything) { iterator++ something = true hello = that + whatever } } Nothing about this function is asynchronous. It does a lot of stuff but it does it very quickly. But then take a Node.js function like this: fs.readFile('path/to/file', (err, data) => { // do something }) This function is declared to

问题 I am aiming to understand what exactly is it about certain JavaScript functions that make them asynchronous. You could have a function like this: function someRandomFunction () { for (let i of everything) { iterator++ something = true hello = that + whatever } } Nothing about this function is asynchronous. It does a lot of stuff but it does it very quickly. But then take a Node.js function like this: fs.readFile('path/to/file', (err, data) => { // do something }) This function is declared to

问题 If I had the below code, how would the variable service affect the asynchronous nature of the endpoints? Will the variable be shared? Or will it be locked when in use, thus blocking other endpoints from accessing it until the current one is done? I ask the above assuming that Service instances are stateless, i.e. it would be equivalent if I created an instance of Service in each endpoint. I am reluctant to do that because I don't know which is more time consuming, instantiating and destroying

问题 If I had the below code, how would the variable service affect the asynchronous nature of the endpoints? Will the variable be shared? Or will it be locked when in use, thus blocking other endpoints from accessing it until the current one is done? I ask the above assuming that Service instances are stateless, i.e. it would be equivalent if I created an instance of Service in each endpoint. I am reluctant to do that because I don't know which is more time consuming, instantiating and destroying