Profiler | module performance profiler for PowerShell | Command Line Interface library

In the kubernetes source code there is a block of code that handles the profiling part but I can not acces the endpoints:

The goal is to have a single query that will be generated by the EF and MSSQL will execute it in one go. Having the current implementation, everything works correctly, but not optimal. To be more specific, looking at the SQL Server Profiler logs, it makes additional exec sp_executesql queries per each company to fetch data (in example below, it would be Products).

Say, we have selected product ids.

I am a beginner in Haskell and I am still studying and I stopped at the problem that has to do with monads.
The problem is that I want to show the comment writer in the template.
I can't do that because when I add a comment from the database it is always in the Handler monad.
Maybe my whole idea is wrong I don't know.

This is the comment entity:

I have an app where a user is registered and can have a profile image. In the realtime database I have these information saved. Now I want to be able to change the informatiom, particulary profile image. Here is my realtime database:

When the user clicks on his/hers image the camera intent starts:

I have an NVidia GeForce GTX 770 and would like to use its CUDA capabilities for a project I am working on. My machine is running windows 10 64bit.

I have followed the provided CUDA Toolkit installation guide: https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/.

Once the drivers were installed I opened the samples solution (using Visual Studio 2019) and built the deviceQuery and bandwidthTest samples. Here is the output:

deviceQuery:

I am trying to develop a project and I'm having trouble installing a Sylius with composer.

Here is my composer.json

I am facing a problem with my custom appbar in my fragment where nothing happens when I click any item in my appbar. I have followed this document to create an appbar in my fragment but still so success.

I have one activity that contains only a fragment container which I switch between fragments from. In one of fragments I want to add a custom fragment owned appbar. I first created a menu like this:

I have around 10 different rabbit mq queues in 10 different virtual hosts to connect to. For each queue, a separate SimpleMessageListenerContainer bean is defined in my spring boot application and a separate Spring Integration flow is created using each specific SimpleMessageListenerContainer.

The concurrency for SimpleMessageListenerContainer is set to 1-3. Each of the SimpleMessageListenerContainer bean is using separate CachingConnectoryFacory beans. The Connection Factory mode is set as CHANNEL.

We also have another IntegrationFlow to publish messages to an outbound queue that is using a different connection factory. I am not setting any ThreadPool Task Executors in the ConnectionFactory, so it using the default one. While doing the Load test we are noticing that the multiple thread pool (prefixed with pool-) are getting crated and after a certain point application crashes may due to the high number of threads.

It looks like the default thread pool executor is having max value of Integer unbounded which may spinning up threads based on the demand. I tried setting custom Thread Pool task executors for each connection factory and I noticed that the threads are not growing like previously but from the java profiler it shows the SimpleMessageListenerContainer threads are getting BLOCKED frequently.

I want to know if there any best practices or to be followed while setting the custom thread pool task executors in the connection factory like a ratio between Lisneter threads and connection factory threads etc?

I have the following code from the example folder with the exception that I added @profile. I am just trying to make this example run because in my code which is more complex I have the same error and I would like to know how much memory is used on each line.

SYSTEM:

Python: 3.9

memory-profiler: 0.58

OS: Manjaro

CODE: