Reading file in Kernel Mode - visual-c++

I am building a driver and i want to read some files.
Is there any way to use "ZwReadFile()" or a similar function to read the
contents of the files line by line so that i can process them in a loop.
The documentation in MSDN states that :-
ZwReadFile begins reading from the given ByteOffset or the current file position into the given Buffer. It terminates the read operation under one of the following conditions:
The buffer is full because the number of bytes specified by the Length parameter has been read. Therefore, no more data can be placed into the buffer without an overflow.
The end of file is reached during the read operation, so there is no more data in the file to be transferred into the buffer.
Thanks.

No, there is not. You'll have to create a wrapper to achieve what you want.
However, given that kernel mode code has the potential to crash the system rather than the process it runs in, you have to make sure that problems such as those known from usermode with very long lines etc will not cause issues.
If the amount of data is (and will stay) below the threshold of what registry values can hold, you should use that instead. In particular REG_MULTI_SZ which has the properties you are looking for ("line-wise" storage of data).

In this situation unless performance is a critical (like 'realtime') then I would pass the filtering to a user mode service or application. Send the file name to the application to process. A user mode application is easier to test and easier to debug. It wont blue screen or hang your box either.

Related

If I private-`mmap` a file and read it, then another process writes to the same file, will another read at the same location return the same value?

(Context: I'm trying to establish which sequences of mmap operations are safe from the "memory safety" point of view, i.e. what assumptions I can make about mmaped memory without risking security bugs as a consequence of undefined behaviour, or miscompiles due to compilers making incorrect assumptions about how memory could behave. I'm currently working on Linux but am hoping to port the program to other operating systems in the future, so although I'm primarily interested in Linux, answers about how other operating systems behave would also be appreciated.)
Suppose I map a portion into file into memory using mmap with MAP_PRIVATE. Now, assuming that the file doesn't change while I have it mapped, if I access part of the returned memory, I'll be given information from the file at that offset; and (because I used MAP_PRIVATE) if I write to the returned memory, my writes will persist in my process's memory but will have no effect on the underlying file.
However, I'm interested in what will happen if the file does change while I have it mapped (because some other process also has the file open and is writing to it). There are several cases that I know the answers to already:
If I map the file with MAP_SHARED, then if any other process writes to the file via a shared mmap, my own process's memory will also be updated. (This is the intended behaviour of MAP_SHARED, as one of its intended purposes is for shared-memory concurrency.) It's less clear what will happen if another process writes to the file via other means, but I'm not interested in that case.
If the following sequence of events occurs:
I map the file with MAP_PRIVATE;
A portion of the file I haven't accessed yet is written by another process;
I read that portion of the file via my mapping;
then, at least on Linux, the read might return either the old value or the new value:
It is unspecified whether changes made to the file after the mmap() call are visible in the mapped region.
— man 2 mmap on Linux
(This case – which is not the case I'm asking about – is covered in this existing StackOverflow question.)
I also checked the POSIX definition of mmap, but (unless I missed it) it doesn't seem to cover this case at all, leaving it unclear whether all POSIX systems would act the same way.
Linux's behaviour makes sense here: at the time of the access, the kernel might have already mapped the requested part of the file into memory, in which case it doesn't want to change the portion that's already there, but it might need to load it from disk, in which case it will see any new value that may have been written to the file since it was opened. So there are performance reasons to use the new value in some cases and the old value in other cases.
If the following sequence of events occurs:
I map the file with MAP_PRIVATE;
I write to a memory address within the file mapping;
Another process changes that part of the file;
then although I don't know this for certain, I think it's very likely that the rule is that the memory address in question continues to reflect the old value, that was written by our process. The reason is that the kernel needs to maintain two copies of that part of the file anyway: the values as seen by our process (which, because it used MAP_PRIVATE, can write to its view of the file without changing the underlying file), and the values that are actually in the file on disk. Writes by other processes obviously need to change the second copy here, so it would be bizarre to also change the first copy; doing so would make the interface less usable and also come at a performance cost, and would have no advantages.
There is one sequence of events, though, where I don't know what happens (and for which the behaviour is hard to determine experimentally, given the number of possible factors that might be relevant):
I map the file with MAP_PRIVATE;
I read some portion of the file via the mapping, without writing;
Another process changes part of the file that I just read;
I read the same portion of the file via the mapping, again.
In this situation, am I guaranteed to read the same data twice? Or is it possible to read the old data the first time and the new data the second time?

What is the optimal way of merge few lines or few words in the large file using NodeJS?

I would appreciate insight from anyone who can suggest the best or better solution in editing large files anyway ranges from 1MB to 200MB using nodejs.
Our process needs to merge lines to an existing file in the filesystem, we get the changed data in the following format which needs to be merged to filesystem file at the position defined in the changed details.
[{"range":{"startLineNumber":3,"startColumn":3,"endLineNumber":3,"endColumn":3},"rangeLength":0,"text":"\n","rangeOffset":4,"forceMoveMarkers":false},{"range":{"startLineNumber":4,"startColumn":1,"endLineNumber":4,"endColumn":1},"rangeLength":0,"text":"\n","rangeOffset":5,"forceMoveMarkers":false},{"range":{"startLineNumber":5,"startColumn":1,"endLineNumber":5,"endColumn":1},"rangeLength":0,"text":"\n","rangeOffset":6,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":1,"endLineNumber":6,"endColumn":1},"rangeLength":0,"text":"f","rangeOffset":7,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":2,"endLineNumber":6,"endColumn":2},"rangeLength":0,"text":"a","rangeOffset":8,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":3,"endLineNumber":6,"endColumn":3},"rangeLength":0,"text":"s","rangeOffset":9,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":4,"endLineNumber":6,"endColumn":4},"rangeLength":0,"text":"d","rangeOffset":10,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":5,"endLineNumber":6,"endColumn":5},"rangeLength":0,"text":"f","rangeOffset":11,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":6,"endLineNumber":6,"endColumn":6},"rangeLength":0,"text":"a","rangeOffset":12,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":7,"endLineNumber":6,"endColumn":7},"rangeLength":0,"text":"s","rangeOffset":13,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":8,"endLineNumber":6,"endColumn":8},"rangeLength":0,"text":"f","rangeOffset":14,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":9,"endLineNumber":6,"endColumn":9},"rangeLength":0,"text":"s","rangeOffset":15,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":10,"endLineNumber":6,"endColumn":10},"rangeLength":0,"text":"a","rangeOffset":16,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":11,"endLineNumber":6,"endColumn":11},"rangeLength":0,"text":"f","rangeOffset":17,"forceMoveMarkers":false},{"range":{"startLineNumber":6,"startColumn":12,"endLineNumber":6,"endColumn":12},"rangeLength":0,"text":"s","rangeOffset":18,"forceMoveMarkers":false}]
If we just open the full file and merge those details would work but it would break if we getting too many of those changed details very frequently that can cause out of memory issues as the file been opened many times which is also a very inefficient way.
There is a similar question aimed specifically at c# here. If we open the file in stream mode, is there similar example in nodejs?
I would appreciate insight from anyone who can suggest the best or better solution in editing large files anyway ranges from 1MB to 200MB using nodejs.
Our process needs to merge lines to an existing file in the filesystem, we get the changed data in the following format which needs to be merged to filesystem file at the position defined in the changed details.
General OS file systems do not directly support the concept of inserting info into a file. So, if you have a flat file and you want to insert data into it starting at a particular line number, you have to do the following steps:
Open the file and start reading from the beginning.
As you read data from the file, count lines until you reach the desired linenumber.
Then, if you're inserting new data, you need to read some more and buffer into memory the amount of data you intend to insert.
Then do a write to the file at the position of insertion of the data to insert.
Now using another buffer the size of the data you inserted, take turns reading another buffer, then writing out the previous buffer.
Continue until the end of the file is reach and all data is written back to the file (after the newly inserted data).
This has the effect of rewriting all the data after the insertion point back to the file so it will now correctly be in its new location in the file.
As you can tell, this is not efficient at all for large files as you have to read the entire file a buffer at a time and you have to write the insertion and everything after the insertion point.
In node.js, you can use features in the fs module to carry out all these steps, but you have to write the logic to connect them all together as there is no built-in feature to insert new data into a file while pushing the existing data after it.
There is a similar question aimed specifically at c# here. If we open the file in stream mode, is there similar example in nodejs?
The C# example you reference appears to just be appending new data onto the end of the file. That's trivial to do in pretty much any file system library. In node.js, you can do that with fs.appendFile() or you can open any file handle in append mode and then write to it.
To insert data into a file more efficiently, you would need to use a more efficient storage system than a single flat file for all the data. For example, if you stored the file in pieces in approximately 100 line blocks, then to insert data you'd only have to rewrite a portion of one block of data and then perhaps have some cleanup process that rebalances the block boundaries if a block gets way too big or too small.
For efficient line management, you would need to maintain an accurate index of how many lines each file piece contains and obviously what order the pieces should be in. This would allow you to insert data at a somewhat fixed cost no matter how big the entire file was as the most you would need to do is to rewrite one or two blocks of data, even if the entire content was hundreds of GB in size.
Note, you would essentially be building a new file system on top of the OS file system in order to give yourself more efficient inserts or deletions within the overall data. Obviously, the chunks of data could also be stored in a database too and managed there.
Note, if this project is really an editor, text editing a line-based structure is a very well studied problem and you could also study the architectures used in previous projects for further ideas. It's a bit beyond the scope of a typical answer here to study the pros and cons of various architectures. If your system is also a client/server editor where the change instructions are being sent from a client to a server, that also affects some of the desired tradeoffs in the design since you may desire differing tradeoffs in terms of the number of transactions or the amount of data to be sent between client and server.
If some other language uses an optimal way then I think it would be better to find that option as you saying nodejs might not have that option.
This doesn't really have anything to do with the language you choose. This is about how modern and typical operating systems store data in files.
In fs module there is a function named appendFile. It would let you append data in your file. Link.

How to prevent changes to the underlying file after mmap()-ing a file from being visible to my program?

According to mmap() manpage:
MAP_PRIVATE
Create a private copy-on-write mapping. Updates to the mapping are not visible to other processes mapping the same file, and are not carried through to the underlying file. It is unspecified whether changes made to the file after the mmap() call are visible in the mapped region.
Question: How to prevent changes to the underlying file after mmap()-ing a file from being visible to my program?
Background: I am designing a data structure for a text editor designed to allow editing huge text files efficiently. The data structure is akin to an on-disk rope but with the actual strings being pointer to mmap()-ed ranges from the original file.
Since the file could be very large, there are a few restrictions around the design:
Must not load the entire file into RAM as the file may be larger than available physical RAM
Must not copy files on opening as this will make opening new files really slow
Must work on filesystems like ext4 that does not support copy-on-write (cp --reflink/ioctl_ficlone)
Must not rely on mandatory file locking, as this is deprecated, and requires specific mount option -o mand in the filesystem
As long as the changes aren't visible in my mmap(), it's ok for the underlying file to change on the filesystem
Only need to support recent Linux and using Linux-specific system APIs are ok
The data structure I'm designing would keep track of a list of unedited and edited ranges in the file by storing start and end index of the ranges into the mmap()-ed buffer. While the user is browsing through the file, ranges of text that have never been modified by the user would be read directly from a mmap() of the original file, while a swap file will store the ranges of texts that have been edited by the user but had not been saved.
When the user saves a file, the data structure would use copy_file_range to splice the swap file and the original file to assemble the new file. For this splicing to work, the original file as seen by my program must remain unchanged throughout the entire editing session.
Problem: The user may concurrently have other programs modifying the same file, possibly other text editors or some other programs that modified the text file in-place, after making unsaved changes in my text editor.
In such situation, the editor can detect such external change using inotify, and then I want to give the user two options on how to continue from this:
discard all unsaved changes and re-read the file from disk, implementing this option is fairly straightforward
allow the user to continue editing the file and later on the user should be able to save the unsaved changes in a new location or to overwrite the changes that had been made by the other program, but implementing this seems tricky
Since my editor did not make a copy of the file when it opened the file, when the other program overwrite the file, the text ranges that my data structure are tracking may become invalid because the data on-disk have changed and these changes are now visible through my mmap(). This means if my editor tried to write unsaved changes after the file has been modified from another process, it could be splicing text ranges in the old file using data from the data from the new file, which could mean that my editor could be producing a corrupt file when saving the unsaved changes.
I don't think advisory locks would have saved the situation here in all cases, as other programs may not honor advisory lock.
My ideal solution would be to make it so that when other programs overwrites the file, the system should transparently copy the file to allow my program to continue seeing the old version while the other program finishes their write to disk and make their version visible in the filesystem. I think ioctl_ficlone could have made this possible, but to my understanding, this only works with a copy-on-write filesystem like btrfs.
Is such a thing possible?
Any other suggestions to solve this problem would also be welcome.
What you want to do isn't possible with mmap, and I'm not sure if it's possible at all with your constraints.
When you map a region, the kernel may or may not actually load all of it into memory. The region of memory that lacks data will actually contain an invalid page, so when you access it, the kernel takes a page fault and maps that region into memory. That region will likely contain whatever is in that portion of the file at the time the page fault occurs. There is an option, MAP_LOCKED, which tries to prefault all of the pages in, but doesn't guarantee it, so you can't rely on it working.
In general, you cannot prevent other processes from changing a file out from under you. Some tools (including editors) will write a new file to the side, calling rename to overwrite the file, and some will rewrite the file in place. The former is what you want, but many editors choose to do the latter, since it preserves characteristics such as ACLs and permissions you can't restore.
Furthermore, you really don't want to use mmap on any file you can't totally control, because if another process truncates the file and you try to access that portion of the buffer, your process will die with SIGBUS. Catching this signal is undefined behavior, and the only sane thing to do is die. (Also, it can be sent in other situations, such as unaligned access, and you'll have a hard time distinguishing between them.)
Ultimately, if you're not interested in copying the file, you can't guarantee someone won't change underneath you, and you'll need to be prepared for that to occur.

Persistant storage values handling in Linux

I have a QSPI flash on my embedded board.
I have a driver + process "Q" to handle reading and writing into.
I want to store variables like SW revisions, IP, operation time, etc.
I would like to ask for suggestions how to handle the different access rights to write and read values from user space and other processes.
I was thinking to have file for each variable. Than I can assign access rights for those files and process Q can change the value in file if value has been changed. So process Q will only write into and other processes or users can only read.
But I don't know about writing. I was thinking about using message queue or zeroMQ and build the software around it but i am not sure if it is not overkill. But I am not sure how to manage access rights anyway.
What would be the best approach? I would really appreciate if you could propose even totally different approach.
Thanks!
This question will probably be downvoted / flagged due to the "Please suggest an X" nature.
That said, if a file per variable is what you're after, you might want to look at implementing a FUSE file system that wraps your SPI driver/utility "Q" (or build it into "Q" if you get to compile/control source to "Q"). I'm doing this to store settings in an EEPROM on a current work project and its turned out nicely. So I have, for example, a file, that when read, retrieves 6 bytes from EEPROM (or a cached copy) provides a MAC address in std hex/colon-separated notation.
The biggest advantage here, is that it becomes trivial to access all your configuration / settings data from shell scripts (e.g. your init process) or other scripting languages.
Another neat feature of doing it this way is that you can use inotify (which comes "free", no extra code in the fusefs) to create applications that efficiently detect when settings are changed.
A disadvantage of this approach is that it's non-trivial to do atomic transactions on multiple settings and still maintain normal file semantics.

Can file size be used to detect a partial append?

I'm thinking about ways for my application to detect a partially-written record after a program or OS crash. Since records are only ever appended to a file (never overwritten), is a crash while writing guaranteed to yield a file size that is shorter than it should be? Is this guaranteed even if the file was opened in read-write mode instead of append mode, so long as writes are always at the end of the file? This would greatly simplify crash recovery, since comparing the last record's expected size and position with the actual file size would be enough to detect a partial write.
I understand that random-access writes can be reordered by the filesystem, but I'm having trouble finding information on whether this can happen when appending. I imagine an out-of-order append would require the filesystem to create a "hole" at the tail of the (sparse) file, write blocks beyond the hole, and then fill in the blocks in between, but I'm hoping that such an approach would be so inefficient that nobody would ever implement their filesystem that way.
I suppose another problem might be a filesystem updating the directory entry's file size field before appending the new blocks to to the file, and the OS crashing in between. Does this ever happen in practice? (ext4, perhaps?) Is there a quick way to detect it? (And what happens when trying to read the unwritten blocks that should exist according to the file's size?)
Is there anything else, such as write reordering performed by a disk/flash drive, that would get in the way of using file size as a way to detect a partial append? I don't expect to be able to compensate for this sort of drive trickery in my application, but it would be good to know about.
If you want to be SURE that you're never going to lose records, you need a consistent journaling or transactional system for your files.
There is absolutely no guarantee that a write will have been fulfilled unless you either set O_DIRECT [which you probably do not want to do], or you use markers to indicate aht "this has been fully committed", that are only written when the file is closed. You can either do that in the mainfile, or, for example, have a file that records, externally, "last written record". If you open & close that file, it should be safe as long as the APP is what is crashing - if the OS crashes [or is otherwise abruptly stopped - e.g. power cut, disk unplugged, etc], all bets are off.
Write reordering and write caching is/can be done at all levels - the C library, the OS, the filesystem module and the hard disk/controller itself are all ABLE to reorder writes.

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