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It is not that difficult. Below is a simple example. The longer the text, the longer it takes to process. Playback occurs in the order the text is received. Text is received in alphabetical order, but ...

The await is redundant; nothing happens until one starts "retrieving" from the enumerable. And I wouldn't "to list" ... which is only needed if you intend to "index into" ...

Say, we make a http post request and await for its response before we close the http request, but, we wait for only 3 secs, else we close the request. It is not that hard to interrupt your own ...

I think Task<IEnumerable<Patient>> is a controversal combination and should be avoid. If we have a single query with small data fetch then it can be Task<IReadOnlyList<Patient>&...

What is your objective when introducing an abstraction around EF? If it is to facilitate unit testing, or to standardize an interface with commonly enforced rules, then I recommend having the ...

TBH for quite some time I avoid abstracting over collections in the repository - i.e. I return arrays/List's. In my experience using IEnumerable in repositories (at least in ) is a very leaky ...

The interface must cater to the most restrictive implementation. If even one of your implementations requires async, your abstraction is now an asynchronous one. You cannot "hide" asynchrony ...

Simple answer, do not use Kafka and Spark, use queue like ActiveMQ, Rust and DuckDB/Polars.

my ultimate goal is to capture these LLM response and store in Hive, in this situation microbatch process become sync setup.

I've just updated my answer with a provider-agnostic Python snippet and more architectural details. Take a look

Currently, we are using a self-hosted vLLM setup, but we may switch to OpenAI or Anthropic in the future depending on the use case. I agree with your point, but my goal is to design the system in a ...

As of now we are using self hosted vLLM , but can change it to OpenAI or Anthropic based on the use case in future.

As of now we are using self hosted vLLM , but can change it to OpenAI/Anthropic based on the use case in future.

As of now we are using self hosted vLLM , but can change it to OpenAI/Anthropic based on the use case in future.

As of now we are using self hosted vLLM , but can change it to OpenAI/Anthropic based on the use case

Great question. Are you using a managed LLM service (like OpenAI/Anthropic) or self-hosted vLLM? The backpressure strategy differs significantly based on the API's rate limits. Architectural Patterns ...

"Async...doesn't refer to threads at all..." The "async" model of concurrent computing can be described without reference to the "threads" model, but many practical ...

It can be done like this. And, of course, this is just an example. It can be simplified (by omitting the youStillWantThisToExecute variable). Task.sleep() == Future.delayed() import 'dart:async'; ...

This can be done like this (for example, using Isolate to perform short calculations). While a separate isolate is doing calculations, the current isolate is idle (or performing other tasks). import '...

I need it because in some networking operation, the connection is sometimes producing silent error. These silent errors are documented for the http package in the close() method: Resources are always ...

If you are familiar with the basics of asynchronous programming, then you can do anything the way what you need. For example, like this. import 'dart:async'; import 'dart:math'; import 'package:...

If you need a truly asynchronous solution (based on your own queue, not an internal one), working in a concurrent environment, then you can use an asynchronous monitor (lock + condition variable). ...

I am unable to replicate the error under normal conditions: % uv run -p 3.13.0 python3 -m asyncio # asyncio REPL 3.13.0 (main, Oct 16 2024, 08:05:40) [Clang 18.1.8 ] on darwin # Use "await" ...

AsynWebServer for ESP32 is built on top of AsynTCP, which is the async com callback that executed in the context of tcp network callbacks. Code executing within these callbacks should be fast. While ...

It's an issue with Angular AOT compilation, non standalone component dependencies are not properly handle during compilation, disable AOT and use JIT instead (AOT is the default behavior with vitest): ...

Maybe this code can handle it? It simply blocks the execution of the next (in the queue) code until current code releases the lock. import 'dart:async'; import 'package:multitasking/synchronization/...

Async/await uses cooperative suspension points within a single thread, while OS threads are scheduled pre-emptively by the kernel. Async does not disable pre-emption; it simply controls where ...

May be one day async IO will be implemented as a language feature, but not yet. A quick search for async file IO on Linux revealed: 1. POSIX AIO - runs thread pools on your behalf - poor performance 2....

All forms of parallelism are still relevant, since each has its own strengths and weaknesses.

Async in general doesn't refer to threads at all (e.g. async I/O). And when it does (e.g. the async and await keywords in multiple languages), it usually refers co-operative multithreading, which is ...

“Async” operations are just a more modern and hopefully easier method to control multiple threads. Under the hood it is all multithreading.

you should not call method with -Async postfix with Task.Run()!! - thus you create async method twice in ThreadPool, that is unnecessary. - e.g. in var users = await _dbContext.Users.ToListAsync(); ...

Use Polly Rate Limiter, with Concurrency Limiter configuration you can create separate thread pools per use case you can add new tasks into the pool at runtime, during execution, not just at pool ...

Use Polly Rate Limiter, with Concurrency Limiter configuration you can create separate thread pools per use case you can add new tasks into the pool at runtime, during execution, not just at pool ...

A counting semaphore is a synchronization primitive that maintains a counter that represents the number of available permits. Example with a limit of no more than 3 simultaneously executed operations. ...