examples/libpmem.fio

   1 [global]
   2 bs=4k
   3 size=8g
   4 ioengine=libpmem
   5 norandommap
   6 time_based=1
   7 group_reporting
   8 invalidate=1
   9 disable_lat=1
  10 disable_slat=1
  11 disable_clat=1
  12 clat_percentiles=0
  13
  14 iodepth=1
  15 iodepth_batch=1
  16 thread=1
  17 numjobs=1
  18
  19 #
  20 # In case of 'scramble_buffers=1', the source buffer
  21 # is rewritten with a random value every write operations.
  22 #
  23 # But when 'scramble_buffers=0' is set, the source buffer isn't
  24 # rewritten. So it will be likely that the source buffer is in CPU
  25 # cache and it seems to be high performance.
  26 #
  27 scramble_buffers=0
  28
  29 #
  30 # direct=0:
  31 #   Using pmem_memcpy_nodrain() for write operation
  32 #
  33 # direct=1:
  34 #   Using pmem_memcpy_persist() for write operation
  35 #
  36 direct=0
  37
  38 #
  39 # Setting for fio process's CPU Node and Memory Node
  40 #
  41 numa_cpu_nodes=0
  42 numa_mem_policy=bind:0
  43
  44 #
  45 # split means that each job will get a unique CPU from the CPU set
  46 #
  47 cpus_allowed_policy=split
  48
  49 #
  50 # The pmemblk engine does IO to files in a DAX-mounted filesystem.
  51 # The filesystem should be created on an NVDIMM (e.g /dev/pmem0)
  52 # and then mounted with the '-o dax' option.  Note that the engine
  53 # accesses the underlying NVDIMM directly, bypassing the kernel block
  54 # layer, so the usual filesystem/disk performance monitoring tools such
  55 # as iostat will not provide useful data.
  56 #
  57 directory=/mnt/pmem0
  58
  59 [libpmem-seqwrite]
  60 rw=write
  61 stonewall
  62
  63 #[libpmem-seqread]
  64 #rw=read
  65 #stonewall
  66
  67 #[libpmem-randwrite]
  68 #rw=randwrite
  69 #stonewall
  70
  71 #[libpmem-randread]
  72 #rw=randread
  73 #stonewall