fsutil | fsutil provides adapters for io/fs to work with FUSE | File Utils library

does every block of 512 bytes I will wrote will be wrote atomically ? on the other way does every block of 4096 Bytes I will wrote will be wrote atomically?

4096 will write atomically.

512 will write atomically with possibly writing other data to complete to 4096.

Also does the read/wrote of 512 bytes will be not too much slow as, if I understand well, the system will need to read 4096 Physical bytes just to wrote my 512 bytes?

Yes, at least write by PhysicalBytesPerSectorForPerformance. By more may be still faster due to more efficient commands utilization.

If you want to add Azure data lake gen2 configuration in Azure databricks cluster spark configuration, please refer to the following configuration

Per official Databricks docs only Contributor is not enough - it should be Storage Blob Data XXX (where XXX is Owner, Contributor, Reader, .... - see docs)

You can use errorlevel more or less like this (on mobile, so unable to test)

This is entirely dependent on how you usually use your computer, and its specifications. From Windows docs:

Configures the internal cache levels of NTFS paged-pool memory and NTFS nonpaged-pool memory. Set to 1 or 2. When set to 1 (the default), NTFS uses the default amount of paged-pool memory. When set to 2, NTFS increases the size of its lookaside lists and memory thresholds. (A lookaside list is a pool of fixed-size memory buffers that the kernel and device drivers create as private memory caches for file system operations, such as reading a file.)

so basically it increases the amount of paging your file system can use out of the total shared pool. This of course, means less for other processes. The documentation is even explicit about it:

Increasing the physical memory doesn't always increase the amount of paged pool memory available to NTFS. Setting memoryusage to 2 raises the limit of paged pool memory. This might improve performance if your system is opening and closing many files in the same file set and is not already using large amounts of system memory for other apps or for cache memory. If your computer is already using large amounts of system memory for other apps or for cache memory, increasing the limit of NTFS paged and non-paged pool memory reduces the available pool memory for other processes. This might reduce overall system performance. This parameter updates the HKLM\SYSTEM\CurrentControlSet\Control\FileSystem\NtfsMemoryUsage registry key.

So basically if your ram usage is not to high, it might be worth it, especially when loading and re-loading resources from your hard-drive. Gaming is a notable area of benefit, where often the GPU is doing most of the work, leaving the RAM somewhat free, and the same stuff needs to be loaded constantly. Of course, there is also a GPU cache for that, so the benefit increase is not straightforward.

Bottom line - this gives the file system more page space out of a total shared pool of fixed size, so is not "free".

Adding a large buffer leads to large memory allocation, which in turn leads to performance degradation. A workaround for this is to keep #define BUF_LEN 4096 (a small value) and increase the value of iterations to the maximum size of the change journal.

32-bit signed integers are not a limitation for wmic though, so this may be an option for you.

You can start by improving the structure of the data array if you want to create a section

said that what you are looking for is dangerous for the security of your operating system, this is the right code

I hope it's experiment...