SharedObject | Sharing R objects across multiple R | Key Value Database library

I created a simple username page, in frame 1, there is a button and input text

like the code below

I am making a companion app for a Monopoly-esque game I'm designing. My goal is to have all the properties have a MovieClip that displays who owns it and how much it has been upgraded. There are literally hundreds of properties, and each one bogs down my run time by about a second (I set up a 1-sec timer to see how long it takes to run).

I have a MovieClip that will "spawn in" each property as I need. The idea being, I have a button that tells this MC to go to frame 10, and frame 10 will have code that adds the child for Property 10, and then that child contains all the necessary code. This child spawning MC looks like this:

The /VERYSILENT option offered by Inno Setup is very helpful when deploying applications to a whole organization using a centralized software, but there are some perks which are not entirely clear to me.

In particular, how does it behave when removing dlls/com controls (during an uninstallation) which need to be unregistered and are marked as sharedobject? Without the /VERYSILENT switch, a popup is shown, to allow the user to select whether those objects should be removed or not.

Is the default option ("Yes", meaning "remove the object") used?

I'm in a bit of a conundrum regarding multithreading. I'm currently working on a real-time service using SinglaR. The idea is that a connected user can request data from another. Below is a gist of what the request and response functions look like.

Consider the following code:

Node: 12.16.2

Try to figure out why node application which is running in docker container with memory limit 512mb fails with JavaScript heap out of memory on 256mb and if increase limit to 1500mb than fail with approximately 700mb. Looks like there is only 50% of space is given to old generation objects but I can't find any documentation of this behaviour.

Would be correct to set the old space size to 70% or so of total available memory (would remaining space be enough for other v8 memory sections)?

Error log

I want to share one variable from my UIKit File to my Widget Extension created with SwiftUI. I followed this here. Please look at the answer from J Arango.

But i dont understand the last part there. I have to use import MySharedObjects.

So I did this:

I am using an ExecutorService fixedThreadPool() to run a TASK.

A TASK here is defined as downloading a file from a specific URL and saving it to the database if it doesn't exist or else read the file from the database only. So it's more like a reader-writer problem where any of the thread of executor thread pool can act as a writer for once and others will be a reader for the subsequent request.

I am using Semaphore to perform this but the issue with this approach is subsequent read requests are happening sequentially.

If 4 TASKs are intended to hit the same URL I needed the synchronization till the file is downloaded and the semaphore is released i.e. out of 4 threads anyone can acquire the lock and rest 3 are waiting. After the download completes all the remaining 3 threads should simultaneously read the downloaded file. But this last step is happening sequentially in my case which will have an impact on project performance as well.

Having said the above use case, the following is my sample code:

Following Runnable is passed to ExecutorService to execute the task on the SharedObject class.

I am trying to understand the happens-before behavior of the volatile field when there's a mix of volatile and non-volatile fields.

Let's say there's 1 WriteThread and 5 ReadThreads, and they update/read the SharedObject.

ReadThreads call method waitToBeStopped() from the beginning and WriteThread calls the method stop() after 1 second.

My Qt/C++ app uses worker threads (QThread) to improve performance for users with multicore processors. Each worker's job is to manipulate some data. Each worker minds it's own business and does not need to communicate with any other workers. They also don't perform any IO operations. Perfect use case!

The use of multithreading for this workload has delightfully improved performance by many factors over.

Running on a Ryzen 9 3900X (12 cores)

However, now each worker is also tasked with passing it's data through a Lua script. So, each worker get's it's own Lua script instance (an object containing it's own lua_State). The data is passed between the native code and the Lua script through userdata in the form of pointers to these things I call "SharedObjects." All I have to do is derive from this SharedObject class and boom, Lua can talk to it!

All my Lua workload does is some basic logic and calling native functions to allocate new things that derive from SharedObject and return them. Basically, it creates a lot of SharedObjects and connects them to each other in specific ways.

When the script has a light workload the multithreaded performance stays great.

But once the script has a heavy workload the performance drops as the thread count rises above 4.

Here's the results of the tests I ran:

I don't understand why a heavy workload causes performance to get worse as thread count goes up??? I would expect it to reach a maximum and flatline....

EDIT: I created a minimal reproducible example project that perfectly simulates the problem. I compiled with MSVC2010 (as per my real application). https://github.com/MRG95/LuaThreads

Explanation of GitHub project files:

• main.cpp: Entry point. Creates the workers and simulates a workload. A timer keeps track of how long it takes to complete the work.
• Lua/lua_script.h: The interface between the lua script and native code. Native methods and properties are accessed through Qt's QMetaObject implementation. the function void bindObject() sets up the connection.
• worker.h: Defines the Worker class which gets moved to it's QThread via moveToThread. The script function call happens in void doWork().
• tags.h/tags.cpp: Example data types that get processed in the script.

In the build folder is a file testScript.lua that is the sample workload itself. It's just a simple loop running some of the methods found in the tags.h classes.