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Message-ID: <1672873802.9686431.1415590877143.JavaMail.zimbra@redhat.com>
Date: Sun, 9 Nov 2014 22:41:17 -0500 (EST)
From: Abhijith Das <adas@...hat.com>
To: Dave Chinner <david@...morbit.com>
Cc: Andreas Dilger <adilger@...ger.ca>,
LKML <linux-kernel@...r.kernel.org>,
linux-fsdevel <linux-fsdevel@...r.kernel.org>,
cluster-devel@...hat.com, Steven Whitehouse <swhiteho@...hat.com>
Subject: Re: [RFC PATCH 0/2] dirreadahead system call
> >
>
> Hi Dave/all,
>
> I finally got around to playing with the multithreaded userspace readahead
> idea and the results are quite promising. I tried to mimic what my kernel
> readahead patch did with this userspace program (userspace_ra.c)
> Source code here:
> https://www.dropbox.com/s/am9q26ndoiw1cdr/userspace_ra.c?dl=0
>
> Each thread has an associated buffer into which a chunk of directory
> entries are read in using getdents(). Each thread then sorts the entries in
> inode number order (for GFS2, this is also their disk block order) and
> proceeds
> to cache in the inodes in that order by issuing open(2) syscalls against
> them.
> In my tests, I backgrounded this program and issued an 'ls -l' on the dir
> in question. I did the same following the kernel dirreadahead syscall as
> well.
>
> I did not manage to test out too many parameter combinations for both
> userspace_ra and SYS_dirreadahead because the test matrix got pretty big and
> time consuming. However, I did notice that without sorting, userspace_ra did
> not perform as well in some of my tests. I haven't investigated that yet,
> so the numbers shown here are all with sorting enabled.
>
> For a directory with 100000 files,
> a) simple 'ls -l' took 14m11s
> b) SYS_dirreadahead + 'ls -l' took 3m9s, and
> c) userspace_ra (1M buffer/thread, 32 threads) took 1m42s
>
> https://www.dropbox.com/s/85na3hmo3qrtib1/ra_vs_u_ra_vs_ls.jpg?dl=0 is a
> graph
> that contains a few more data points. In the graph, along with data for 'ls
> -l'
> and SYS_dirreadahead, there are six data series for userspace_ra for each
> directory size (10K, 100K and 200K files). i.e. u_ra:XXX,YYY, where XXX is
> one
> of (64K, 1M) buffer size and YYY is one of (4, 16, 32) threads.
>
Hi,
Here are some more numbers for larger directories and it seems like userspace
readahead scales well and is still a good option.
I've chosen the best-performing runs for kernel readahead and userspace readahead. I
have data for runs with different parameters (buffer size, number of threads, etc)
that I can provide, if anybody's interested.
The numbers here are total elapsed times for the readahead plus 'ls -l' operations
to complete.
#files in testdir
50k 100k 200k 500k 1m
------------------------------------------------------------------------------------
Readdir 'ls -l' 11 849 1873 5024 10365
Kernel readahead + 'ls -l' (best case) 7 214 814 2330 4900
Userspace MT readahead + 'ls -l' (best case) 12 99 239 1351 4761
Cheers!
--Abhi
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