This lets you play around with policy for blocking reads in user space. Examples: try to make progress on partially read data & queue up the rest on another thread; try performing reads from your network thread and if unavailable queue up the blocking read onto another disk thread & serve a different request.
There's no RWF_NOWAIT support for write in pwritev2. But it's technically possible to implement it and if your write will cause a writeout to disk return EWOULDBLOCK.
LWN description: https://lwn.net/Articles/612483/
LWN summary of my talk: https://lwn.net/Articles/636967/
Final patch set by Christoph: https://lwn.net/Articles/731700/
Disclaimer: I'm the author of the preadv2/pwritev2 syscalls. And the original author of the support for RWF_NOWAIT, which Christoph Hellwig took over. So feel free to consider this to be self congratulatory.
Correction: It looks like there's a patch set floating around for adding support for RWF_NOWAIT in pwritev2 as well. https://patchwork.kernel.org/patch/9787271/ (comment from Christoph)
If I understand this correctly one can use RWF_NOWAIT to do what one would naively expect from O_NONBLOCK. Am I correct?
How does this differ from recv(..., MSG_DONTWAIT)?
Besides some technical reasons, the big reason was an "impedance mismatch" of the recv API which was working with stream data. In that context you're depending on another party send data. Also, you can wait on this to happen using another API (select et. al) so the buffer will be filled not by your actions. On the other hand preadv2(..., RWF_NOWAIT) is not going to trigger any more read in and theres no wait to wait on the data. Although the previous statement is not a 100% true... preadv2 may or may not trigger readahead (if it's enabled).
Here's the whole thread about it... if you're interested in the history of how this came to be: https://lkml.org/lkml/2014/7/24/787
I would assume the intent is similar but applied to a different type/source of IO.
I can't speak for Avi though.
I suspect he is writing from the perspective of a database implementor. For a database the page cache is not predictable in ways you want it to be.
For writes the issue is IO scheduling, when flushing occurs, and how much is flushed at a time and at what rate.
For reads if a page is not in memory you have to block a thread to read it. If you are thread per core this means you either have a thread pool on the side to do IO or you block an event loop preventing other work from making progress. Even having the thread pool on the side is problematic because checking whether a page is in the cache is not cheap either and requires a system call which is kind of self defeating.
My understanding is that those normally don't incur faults that would switch to the kernel context. They're just slow due to several memory lookups that have to be done to satisfy the primary memory access.
SPARC and MIPS for example worked like this, and server POWER chips had a hashed page table that many OSes populated lazily, effectively treating it like a (more efficient) software TLB.
This may work for sequential reads, but not for random reads.
The same is true of plain read/write, barring extra data copies to/from the kernel.
The only reason to ever use AIO is if you're doing direct I/O, in which case mmap doesn't apply.
I have seen Windows File Explorer lock up over and over again for the same assumption. They assume the dir scan is fast operation. A slow, bad USB drive, NFS, Samba mount, or trying to scan directory with thousands of files will lockup the GUI for long period of time.
Dragging a file over slow/busy system icon with SMB mount will just spin / hang the whole GUI - not a very good UX.
> This usually happens when the ratio of storage size to RAM size is significantly higher than 1:1. Every page that is brought into cache causes another page to be evicted.
While true one can optimize these things by unmapping larger ranges in bulk (to reduce cache pressure) or prefetching them (to reduce blocking) with madvise, allowing the kernel doing the loading asynchronously while you're accessing the previously prefetched ones.
If you know your read and write patterns very well you can effectively use this for nearly asynchronous IO without the pains of AIO and few to none extra threads.