Re: very different performance on two volumes in the same pool #2

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Two things..

1. You should always use SSD drives for benchmarking after preconditioning it.

2. After creating and mapping rbd lun, you need to write data first to read it afterword otherwise fio output will be misleading. In fact, I think you will see IO is not even hitting cluster (check with ceph -s)

Now, if you are saying it's a 3 OSD setup, yes, ~23K is pretty low. Check the following.

1. Check client or OSd node cpu is saturating or not.

2. With 4K, hope network BW is fine

3. Number of PGs/pool should be ~128 or so.

4. If you are using krbd, you might want to try latest krbd module where TCP_NODELAY problem is fixed. If you don't want that complexity, try with fio-rbd.

Hope this helps,

Thanks & Regards
Somnath

-----Original Message-----
From: ceph-users [mailto:ceph-users-bounces@xxxxxxxxxxxxxx] On Behalf Of Nikola Ciprich
Sent: Sunday, May 10, 2015 9:43 PM
To: ceph-users
Cc: nik@xxxxxxxxxxx
Subject:  very different performance on two volumes in the same pool #2

Hello ceph developers and users,

some time ago, I posted here a question regarding very different performance for two volumes in one pool (backed by SSD drives).

After some examination, I probably got to the root of the problem..

When I create fresh volume (ie rbd create --image-format 2 --size 51200 ssd/test) and run random io fio benchmark

fio  --randrepeat=1 --ioengine=rbd --direct=1 --gtod_reduce=1 --name=test --pool=ssd3r --rbdname=${rbdname} --invalidate=1 --bs=4k --iodepth=64 --readwrite=randread

I get very nice performance of up to 200k IOPS. However once the volume is written to (ie when I map it using rbd map and dd whole volume with some random data), and repeat the benchmark, random performance drops to ~23k IOPS.

This leads me to conjecture that for unwritten (sparse) volumes, read is just a noop, simply returning zeroes without really having to read data from physical storage, and thus showing nice performance, but once the volume is written, performance drops due to need to physically read the data, right?

However I'm a bit unhappy about the performance drop, the pool is backed by 3 SSD drives (each having random io performance of 100k iops) on three nodes, and object size is set to 3. Cluster is completely idle, nodes are quad core Xeons E3-1220 v3 @ 3.10GHz, 32GB RAM each, centos 6, kernel 3.18.12, ceph 0.94.1. I'm using libtcmalloc (I even tried upgrading gperftools-libs to 2.4) Nodes are connected using 10gb ethernet, with jumbo frames enabled.


I tried tuning following values:

osd_op_threads = 5
filestore_op_threads = 4
osd_op_num_threads_per_shard = 1
osd_op_num_shards = 25
filestore_fd_cache_size = 64
filestore_fd_cache_shards = 32

I don't see anything special in perf:

  5.43%  [kernel]              [k] acpi_processor_ffh_cstate_enter
  2.93%  libtcmalloc.so.4.2.6  [.] 0x0000000000017d2c
  2.45%  libpthread-2.12.so    [.] pthread_mutex_lock
  2.37%  libpthread-2.12.so    [.] pthread_mutex_unlock
  2.33%  [kernel]              [k] do_raw_spin_lock
  2.00%  libsoftokn3.so        [.] 0x000000000001f455
  1.96%  [kernel]              [k] __switch_to
  1.32%  [kernel]              [k] __schedule
  1.24%  libstdc++.so.6.0.13   [.] std::basic_ostream<char, std::char_traits<char> >& std::__ostream_insert<char, std::char_traits<char> >(std::basic_ostream<char, std::char
  1.24%  libc-2.12.so          [.] memcpy
  1.19%  libtcmalloc.so.4.2.6  [.] operator delete(void*)
  1.16%  [kernel]              [k] __d_lookup_rcu
  1.09%  libstdc++.so.6.0.13   [.] 0x000000000007d6be
  0.93%  libstdc++.so.6.0.13   [.] std::basic_streambuf<char, std::char_traits<char> >::xsputn(char const*, long)
  0.93%  ceph-osd              [.] crush_hash32_3
  0.85%  libc-2.12.so          [.] vfprintf
  0.84%  libc-2.12.so          [.] __strlen_sse42
  0.80%  [kernel]              [k] get_futex_key_refs
  0.80%  libpthread-2.12.so    [.] pthread_mutex_trylock
  0.78%  libtcmalloc.so.4.2.6  [.] tcmalloc::ThreadCache::ReleaseToCentralCache(tcmalloc::ThreadCache::FreeList*, unsigned long, int)
  0.71%  libstdc++.so.6.0.13   [.] std::basic_string<char, std::char_traits<char>, std::allocator<char> >::basic_string(std::string const&)
  0.68%  ceph-osd              [.] ceph::log::Log::flush()
  0.66%  libtcmalloc.so.4.2.6  [.] tc_free
  0.63%  [kernel]              [k] resched_curr
  0.63%  [kernel]              [k] page_fault
  0.62%  libstdc++.so.6.0.13   [.] std::string::reserve(unsigned long)

I'm running benchmark directly on one of nodes, which I know is not optimal, but it's still able to give those 200k iops for empty volume, so I guess it shouldn't be problem..

Another story is random write performance, which is totally poor, but I't like to deal with read performance first..


so my question is, are those numbers normal? If not, what should I check?

I'll be very grateful for all the hints I could get..

thanks a lot in advance

nik


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