Well, it might be close to the _synchronous_ nfs, but it is still well behind
of the asynchronous nfs performance.
Simple script (bit extreme I know, but helps to draw the picture):
#!/bin/csh
set HOSTNAME=`/bin/hostname`
set j=1
while ($j <= 7000)
echo ahoj > test.$HOSTNAME.$j
@ j++
end
rm -rf test.$HOSTNAME.*
Takes 9 seconds to execute on the NFS share, but 90 seconds on GlusterFS – i.e.
10 times slower.
Ondrej
From: Pranith Kumar Karampuri [mailto:pkara...@redhat.com]
Sent: Tuesday, March 13, 2018 8:28 AM
To: Ondrej Valousek <ondrej.valou...@s3group.com>
Cc: Andreas Ericsson <andreas.erics...@findity.com>; Gluster-users@gluster.org
Subject: Re: [Gluster-users] Expected performance for WORM scenario
On Mon, Mar 12, 2018 at 6:23 PM, Ondrej Valousek
<ondrej.valou...@s3group.com<mailto:ondrej.valou...@s3group.com>> wrote:
Hi,
Gluster will never perform well for small files.
I believe there is nothing you can do with this.
It is bad compared to a disk filesystem but I believe it is much closer to NFS
now.
Andreas,
Looking at your workload, I am suspecting there to be lot of LOOKUPs which
reduce performance. Is it possible to do the following?
# gluster volume profile <volname> info incremental
#execute your workload
# gluster volume profile <volname> info incremental >
/path/to/file/that/you/need/to/send/us
If the last line in there is LOOKUP, mostly we need to enable nl-cache feature
and see how it performs.
Ondrej
From:
gluster-users-boun...@gluster.org<mailto:gluster-users-boun...@gluster.org>
[mailto:gluster-users-boun...@gluster.org<mailto:gluster-users-boun...@gluster.org>]
On Behalf Of Andreas Ericsson
Sent: Monday, March 12, 2018 1:47 PM
To: Gluster-users@gluster.org<mailto:Gluster-users@gluster.org>
Subject: [Gluster-users] Expected performance for WORM scenario
Heya fellas.
I've been struggling quite a lot to get glusterfs to perform even halfdecently
with a write-intensive workload. Testnumbers are from gluster 3.10.7.
We store a bunch of small files in a doubly-tiered sha1 hash fanout directory
structure. The directories themselves aren't overly full. Most of the data we
write to gluster is "write once, read probably never", so 99% of all operations
are of the write variety.
The network between servers is sound. 10gb network cards run over a 10gb (doh)
switch. iperf reports 9.86Gbit/sec. ping reports a latency of 0.1 - 0.2 ms.
There is no firewall, no packet inspection and no nothing between the servers,
and the 10gb switch is the only path between the two machines, so traffic isn't
going over some 2mbit wifi by accident.
Our main storage has always been really slow (write speed of roughly 1.5MiB/s),
but I had long attributed that to the extremely slow disks we use to back it,
so now that we're expanding I set up a new gluster cluster with state of the
art NVMe SSD drives to boost performance. However, performance only hopped up
to around 2.1MiB/s. Perplexed, I tried it first with a 3-node cluster using 2GB
ramdrives, which got me up to 2.4MiB/s. My last resort was to use a single node
running on ramdisk, just to 100% exclude any network shenanigans, but the write
performance stayed at an absolutely abysmal 3MiB/s.
Writing straight to (the same) ramdisk gives me "normal" ramdisk speed (I don't
actually remember the numbers, but my test that took 2 minutes with gluster
completed before I had time to blink). Writing straight to the backing SSD
drives gives me a throughput of 96MiB/sec.
The test itself writes 8494 files that I simply took randomly from our
production environment, comprising a total of 63.4MiB (so average file size is
just under 8k. Most are actually close to 4k though, with the occasional
2-or-so MB file in there.
I have googled and read a *lot* of performance-tuning guides, but the 3MiB/sec
on single-node ramdisk seems to be far beyond the crippling one can cause by
misconfiguration of a single system.
With this in mind; What sort of write performance can one reasonably hope to
get with gluster? Assume a 3-node cluster running on top of (small) ramdisks on
a fast and stable network. Is it just a bad fit for our workload?
/Andreas
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