Synchronous writes - tuning and some thoughts about them?

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Hi Nick,

flashcache doesn?t support barriers, so I haven?t even considered it. I used a few years ago to speed up some workloads out of curiosity and it worked well, but I can?t use it to cache this kind of workload.

EnhanceIO passed my initial testing (although the documentation is very sketchy and the project abandoned AFAIK), and is supposed to respect barriers/flushes. I was only interested in a ?volatile cache? scenario - create a ramdisk in the guest (for example 1GB) and use it to cache the virtual block device (and of course flush and remove it before rebooting). All worked pretty well during my testing with fio & stuff until I ran the actual workload - in my case a DB2 9.7 database. It took just minutes for the kernel to panic (I can share a screenshot if you?d like). So it was not a host failure but a guest failure and it managed to fail on two fronts - stability and crash consistency - at the same time. The filesystem was completely broken afterwards - while it could be mounted ?cleanly? (journal appeared consistent), there was massive damage to the files. I expected the open files to be zeroed or missing or damaged, but it did veryrandom damage all over the place including binaries in /bin, manpage files and so on - things that nobody was even touching. Scary.

I don?t really understand your question about flashcache - do you run it in writeback mode? It?s been years since I used it so I won?t be much help here - I disregarded it as unsafe right away because of barriers and wouldn?t use it in production.

I don?t think a persistent cache is something to do right now, it would be overly complex to implement, it would limit migration, and it can be done on the guest side with (for example) bcache if really needed - you can always expose a local LVM volume to the guest and use it for caching (and that?s something I might end up doing) with mostly the same effect.
For most people (and that?s my educated guess) the only needed features are that it needs to be fast(-er) and it needs to come up again after a crash without recovering for backup - that?s something that could be just a slight modification to the existing RBD cache - just don?t flush it on every fsync() but maintain ordering - and it?s done? I imagine some ordering is there already, it must be flushed when the guest is migrated, and it?s production-grade and not just some hackish attempt. It just doesn?t really cache the stuff that matters most in my scenario?

I wonder if cache=unsafe does what I want, but it?s hard to test that assumption unless something catastrophic happens like it did with EIO?

Jan

> On 25 May 2015, at 19:58, Nick Fisk <nick at fisk.me.uk> wrote:
> 
> Hi Jan,
> 
> I share your frustrations with slow sync writes. I'm exporting RBD's via iSCSI to ESX, which seems to do most operations in 64k sync IO's. You can do a fio run and impress yourself with the numbers that you can get out of the cluster, but this doesn't translate into what you can achieve when using sync writes with a client.
> 
> I have too been experimenting with flashcache/enhanceio with the goal to use Dual Port SAS SSD's to allow for HA iSCSI gateways. Currently I'm just testing with a single iSCSI server and see a massive improvement. I'm interested in the corruptions you have been experiencing on host crashes, are you implying that you think flashcache is buffering writes before submitting them to the SSD? When watching its behaviour using iostat it looks like it submits everything in 4k IO's to the SSD which to me looks like it is not buffering.
> 
> I did raise a topic a few months back asking about the possibility of librbd supporting persistent caching to SSD's, which would allow write back caching regardless if the client requests a flush. Although there was some interest in the idea, I didn't get the feeling it would be at the top of anyone's priority's.
> 
> Nick
> 
>> -----Original Message-----
>> From: ceph-users [mailto:ceph-users-bounces at lists.ceph.com] On Behalf Of
>> Jan Schermer
>> Sent: 25 May 2015 09:59
>> To: ceph-users at lists.ceph.com
>> Subject: Synchronous writes - tuning and some thoughts about
>> them?
>> 
>> Hi,
>> I have a full-ssd cluster on my hands, currently running Dumpling, with plans
>> to upgrade soon, and Openstack with RBD on top of that. While I am overall
>> quite happy with the performance (scales well accross clients), there is one
>> area where it really fails bad - big database workloads.
>> 
>> Typically, what a well-behaved database does is commit to disk every
>> transaction before confirming it, so on a ?typical? cluster with a write latency
>> of 5ms (with SSD journal) the maximum number of transactions per second
>> for a single client is 200 (likely more like 100 depending on the filesystem).
>> Now, that?s not _too_ bad when running hundreds of small databases, but
>> it?s nowhere near the required performance to subsitute an existing SAN or
>> even just a simple RAID array with writeback cache.
>> 
>> First hope was that enabling RBD cache will help - but it really doesn?t
>> because all the flushes (O_DIRECT writes) end on the drives and not in the
>> cache. Disabling barriers in the client helps, but that makes it not crash
>> consistent (unless one uses ext4 with journal_checksum etc., I am going to
>> test that soon).
>> 
>> Are there any plans to change this behaviour - i.e. make the cache a real
>> writeback cache?
>> 
>> I know there are good reasons not to do this, and I commend the developers
>> for designing the cache this way, but real world workloads demand shortcuts
>> from time to time - for example MySQL with its InnoDB engine has an option
>> to only commit to disk every Nth transaction - and this is exactly the kind of
>> thing I?m looking for. Not having every confirmed transaction/write on the
>> disk is not a huge problem, having a b0rked filesystem is, so this should be
>> safe as long as I/O order is preserved. Sadly, my database is not an InnoDB
>> where I can tune something, but an enterprise behemoth that traditionally
>> runs on FC arrays, it has no parallelism (that I could find), and always uses
>> O_DIRECT for txlog.
>> 
>> (For the record - while the array is able to swallow 30K IOps for a minute,
>> once the cache is full it slows to ~3 IOps, while CEPH happily gives the same
>> 200 IOps forever, bottom line is you always need more disks or more cache,
>> and your workload should always be able to run without the cache anyway  -
>> even enterprise arrays fail, and write cache is not always available, contrary
>> to popular belief).
>> 
>> Is there some option that we could use right now to turn on a true writeback
>> caching? Losing a few transactions is fine as long as ordering is preserved.
>> I was thinking ?cache=unsafe? but I have no idea whether I/O order is
>> preserved with that.
>> I already mentioned turning off barriers, which could be safe in some setups
>> but needs testing.
>> Upgrading from Dumpling will probably help with scaling, but will it help write
>> latency? I would need to get from 5ms/write to <1ms/write.
>> I investigated guest-side caching (enhanceio/flashcache) but that fails really
>> bad when the guest or host crashes - lots of corruption. EnhanceIO in
>> particular looked very nice and claims to respect barriers? not in my
>> experience, though.
>> 
>> It might seem that what I want is evil, and it really is if you?re running a
>> banking database, but for most people this is exactly what is missing to make
>> their workloads run without having some sort of 80s SAN system in their
>> datacentre, I think everyone here would appreciate that :-)
>> 
>> Thanks
>> 
>> Jan
>> _______________________________________________
>> ceph-users mailing list
>> ceph-users at lists.ceph.com
>> http://lists.ceph.com/listinfo.cgi/ceph-users-ceph.com
> 
> 
> 
> 



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