Reding | Rating on Redis - REST API on Flask | Platform As A Service library

fopen() returns a FILE pointer so when you try to allocate memory (using malloc, that also returns a pointer) you're replacing the pointer to the FILE with something that points to memory instead of the file. Removing

It's a hack, but you could try using a ServiceWorker.

It would be possible for your ServiceWorker to attach the appropriate authentication headers, and then you don't have to do anything special or weird in your video player at all. You can continue to use a standard tag. Additionally, the browser gets to keep its own behavior for what ranges to request, and you won't have to go through the headaches and incompatibilities of Media Source Extensions.

See also: https://serviceworke.rs/strategy-cache-and-update.html

Note though that this isn't always going to work... there are times when that Service Worker isn't loaded (such as when the user does a shift+refresh).

I have made some research and I have realized that you used code from BigQuery Storage API, and you are right, the balanced strategy is used if you're consuming , multiple streams, it needs to be mentioned that it is still on beta release.

Some reason of why is this happening is that maybe you are seeing only 1 stream because the data is relatively "small" for the stream allocation algorithm, the number of streams may be lower than the requested number depending on 2 factors: a reasonable parallelism for the table and the service’s limit. Currently, the details of the algorithm to determine what is “reasonable” are not publicly available and are something that may change once the API reaches the general availability phase.

Also you can try the multiprocessing package that has been recommended above.

I ended up exchanging mutiprocessing and threading operations to celery task queues as there were some concerns regarding thread safety when connecting to gcloud services that I couldn't overcome. Celery implementation has been a good solution for many multiple async tasks on my app.

As your code doesn't work in a common condition that you can't prevent from happening, the why of "Why [it] only work[s] with high CPU?" doesn't really matter. It's probably interesting to spend a lot of time and effort finding out the "Why?", but I'd think you're going to have to change your code because anything that stops working when CPU load goes down is, IMO, waaaaay too fragile to trust to work for any time.

First, is threading even useful on your system? If there's only one CPU that can run only one thread at a time, creating multiple threads will be counterproductive. Have you tried a simple single-threaded solution and actually found that it doesn't work?

If you have tried a single-threaded solution and it doesn't work, the first thing I note is that your currently posted code is doing a tremendous amount of extra work it doesn't need to do, and it's likely contending over a single lock when that doesn't help much at all.

So eliminate your extraneous copying of data along with all the unnecessary bookkeeping you're doing.

You also probably have a lot of contention with just a single mutex and condition variable. There's no need to not read because the logging thread is doing something, or the logging thread not processing because the read thread is doing some bookkeeping. You'd almost certainly benefit from finer lock granularity.

I'd do something like this:

In my case, the problem with fread was the size of my file (2.7G). Using R version 3.6.0, fread was unable to read the whole file. The solution was to split my file in two smaller files. Then I performed an rbind to merge the two files, after that everything worked normally.

user.firstName is uninitialized in Show_Numbers when it is printed. Accessing uninitialized memory is undefined behavior. In this case your program interpreted whatever values were lying around in those memory addresses as a character string and printed that. It just so happened to be "×Í=ÿp■`".

When you divide an int by an int you get int (truncated);

To avoid N+1 query, in the controller use