mirror_zfs/cmd/arc_summary/arc_summary.py
Kyle Blatter 3bfc7f1b20 Refactor arc_summary to simplify -p processing
The -p option is used to specify a specific page of output to be
displayed. If omitted, all output pages would be displayed.

arc_summary, as it stood, had really kludgy processing code for
processing the -p option. It relied on a try-except block which was
treated as an if statement and in normal operation would fail any time a
user didn't specify the -p option on the command line. When the
exception was thrown, the script would then display all output pages.
This happened whether the -p option was omitted or malformed. Thus, in
the principle use case, an exception would be raised in order to run the
script as desired. The same except code would be called regardless of
the exception, however, and malformed -p arguments would also cause the
script to execute.

Additionally, this required the function which handles the case where
all output pages were to be displayed, _call_all, to be potentially
called from several locations within main.

This commit refactors the option processing code to simplify it and make
it easier to catch runtime errors in the script. This is done by
specializing the try-except block to only have an exception when the -p
argument is malformed. When the -p option is correctly selected by the
user, it calls a function in the unSub array directly, which will only
display one page of output.

Finally in the context of this refactoring the page breaks have been
removed.  Pages seem to have been added into the output in the FreeNAS
version of the script. This patch removes pages from the output to more
closely resemble the freebsd version of the script.

Signed-off-by: Brian Behlendorf <behlendorf1@llnl.gov>
Signed-off-by: Kyle Blatter <kyleblatter@llnl.gov>
Signed-off-by: Ned Bass <bass6@llnl.gov>
2015-01-28 10:59:19 -08:00

1108 lines
38 KiB
Python
Executable File

#!/usr/bin/python
#
# $Id: arc_summary.pl,v 388:e27800740aa2 2011-07-08 02:53:29Z jhell $
#
# Copyright (c) 2008 Ben Rockwood <benr@cuddletech.com>,
# Copyright (c) 2010 Martin Matuska <mm@FreeBSD.org>,
# Copyright (c) 2010-2011 Jason J. Hellenthal <jhell@DataIX.net>,
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY AUTHOR AND CONTRIBUTORS ``AS IS'' AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL AUTHOR OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
# OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
# OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
# SUCH DAMAGE.
#
# If you are having troubles when using this script from cron(8) please try
# adjusting your PATH before reporting problems.
#
# /usr/bin & /sbin
#
# Binaries used are:
#
# dc(1), kldstat(8), sed(1), sysctl(8) & vmstat(8)
#
# Binaries that I am working on phasing out are:
#
# dc(1) & sed(1)
import sys
import time
import getopt
import re
from subprocess import Popen, PIPE
from decimal import Decimal as D
usetunable = True
show_sysctl_descriptions = False
alternate_sysctl_layout = False
kstat_pobj = re.compile("^([^:]+):\s+(.+)\s*$", flags=re.M)
def get_Kstat():
def load_proc_kstats(fn, namespace):
kstats = [line.strip() for line in open(fn)]
del kstats[0:2]
for kstat in kstats:
kstat = kstat.strip()
name, unused, value = kstat.split()
Kstat[namespace + name] = D(value)
Kstats = [
"hw.pagesize",
"hw.physmem",
"kern.maxusers",
"vm.kmem_map_free",
"vm.kmem_map_size",
"vm.kmem_size",
"vm.kmem_size_max",
"vm.kmem_size_min",
"vm.kmem_size_scale",
"vm.stats",
"vm.swap_total",
"vm.swap_reserved",
"kstat.zfs",
"vfs.zfs"
]
Kstat = {}
load_proc_kstats('/proc/spl/kstat/zfs/arcstats', 'kstat.zfs.misc.arcstats.')
load_proc_kstats('/proc/spl/kstat/zfs/zfetchstats', 'kstat.zfs.misc.zfetchstats.')
load_proc_kstats('/proc/spl/kstat/zfs/vdev_cache_stats', 'kstat.zfs.misc.vdev_cache_stats.')
return Kstat
def div1():
sys.stdout.write("\n")
for i in xrange(18):
sys.stdout.write("%s" % "----")
sys.stdout.write("\n")
def div2():
sys.stdout.write("\n")
def fBytes(Bytes=0, Decimal=2):
kbytes = (2 ** 10)
mbytes = (2 ** 20)
gbytes = (2 ** 30)
tbytes = (2 ** 40)
pbytes = (2 ** 50)
ebytes = (2 ** 60)
zbytes = (2 ** 70)
ybytes = (2 ** 80)
if Bytes >= ybytes:
return str("%0." + str(Decimal) + "f") % (Bytes / ybytes) + "\tYiB"
elif Bytes >= zbytes:
return str("%0." + str(Decimal) + "f") % (Bytes / zbytes) + "\tZiB"
elif Bytes >= ebytes:
return str("%0." + str(Decimal) + "f") % (Bytes / ebytes) + "\tEiB"
elif Bytes >= pbytes:
return str("%0." + str(Decimal) + "f") % (Bytes / pbytes) + "\tPiB"
elif Bytes >= tbytes:
return str("%0." + str(Decimal) + "f") % (Bytes / tbytes) + "\tTiB"
elif Bytes >= gbytes:
return str("%0." + str(Decimal) + "f") % (Bytes / gbytes) + "\tGiB"
elif Bytes >= mbytes:
return str("%0." + str(Decimal) + "f") % (Bytes / mbytes) + "\tMiB"
elif Bytes >= kbytes:
return str("%0." + str(Decimal) + "f") % (Bytes / kbytes) + "\tKiB"
elif Bytes == 0:
return str("%d" % 0) + "\tBytes"
else:
return str("%d" % Bytes) + "\tBytes"
def fHits(Hits=0, Decimal=2):
khits = (10 ** 3)
mhits = (10 ** 6)
bhits = (10 ** 9)
thits = (10 ** 12)
qhits = (10 ** 15)
Qhits = (10 ** 18)
shits = (10 ** 21)
Shits = (10 ** 24)
if Hits >= Shits:
return str("%0." + str(Decimal) + "f") % (Hits / Shits) + "S"
elif Hits >= shits:
return str("%0." + str(Decimal) + "f") % (Hits / shits) + "s"
elif Hits >= Qhits:
return str("%0." + str(Decimal) + "f") % (Hits / Qhits) + "Q"
elif Hits >= qhits:
return str("%0." + str(Decimal) + "f") % (Hits / qhits) + "q"
elif Hits >= thits:
return str("%0." + str(Decimal) + "f") % (Hits / thits) + "t"
elif Hits >= bhits:
return str("%0." + str(Decimal) + "f") % (Hits / bhits) + "b"
elif Hits >= mhits:
return str("%0." + str(Decimal) + "f") % (Hits / mhits) + "m"
elif Hits >= khits:
return str("%0." + str(Decimal) + "f") % (Hits / khits) + "k"
elif Hits == 0:
return str("%d" % 0)
else:
return str("%d" % Hits)
def fPerc(lVal=0, rVal=0, Decimal=2):
if rVal > 0:
return str("%0." + str(Decimal) + "f") % (100 * (lVal / rVal)) + "%"
else:
return str("%0." + str(Decimal) + "f") % 100 + "%"
def get_arc_summary(Kstat):
output = {}
memory_throttle_count = Kstat[
"kstat.zfs.misc.arcstats.memory_throttle_count"
]
if memory_throttle_count > 0:
output['health'] = 'THROTTLED'
else:
output['health'] = 'HEALTHY'
output['memory_throttle_count'] = fHits(memory_throttle_count)
### ARC Misc. ###
deleted = Kstat["kstat.zfs.misc.arcstats.deleted"]
mutex_miss = Kstat["kstat.zfs.misc.arcstats.mutex_miss"]
recycle_miss = Kstat["kstat.zfs.misc.arcstats.recycle_miss"]
### ARC Misc. ###
output["arc_misc"] = {}
output["arc_misc"]["deleted"] = fHits(deleted)
output["arc_misc"]['recycle_miss'] = fHits(recycle_miss)
output["arc_misc"]['mutex_miss'] = fHits(mutex_miss)
output["arc_misc"]['evict_skips'] = fHits(mutex_miss)
### ARC Sizing ###
arc_size = Kstat["kstat.zfs.misc.arcstats.size"]
mru_size = Kstat["kstat.zfs.misc.arcstats.p"]
target_max_size = Kstat["kstat.zfs.misc.arcstats.c_max"]
target_min_size = Kstat["kstat.zfs.misc.arcstats.c_min"]
target_size = Kstat["kstat.zfs.misc.arcstats.c"]
target_size_ratio = (target_max_size / target_min_size)
### ARC Sizing ###
output['arc_sizing'] = {}
output['arc_sizing']['arc_size'] = {
'per': fPerc(arc_size, target_max_size),
'num': fBytes(arc_size),
}
output['arc_sizing']['target_max_size'] = {
'ratio': target_size_ratio,
'num': fBytes(target_max_size),
}
output['arc_sizing']['target_min_size'] = {
'per': fPerc(target_min_size, target_max_size),
'num': fBytes(target_min_size),
}
output['arc_sizing']['target_size'] = {
'per': fPerc(target_size, target_max_size),
'num': fBytes(target_size),
}
### ARC Hash Breakdown ###
output['arc_hash_break'] = {}
output['arc_hash_break']['hash_chain_max'] = Kstat[
"kstat.zfs.misc.arcstats.hash_chain_max"
]
output['arc_hash_break']['hash_chains'] = Kstat[
"kstat.zfs.misc.arcstats.hash_chains"
]
output['arc_hash_break']['hash_collisions'] = Kstat[
"kstat.zfs.misc.arcstats.hash_collisions"
]
output['arc_hash_break']['hash_elements'] = Kstat[
"kstat.zfs.misc.arcstats.hash_elements"
]
output['arc_hash_break']['hash_elements_max'] = Kstat[
"kstat.zfs.misc.arcstats.hash_elements_max"
]
output['arc_size_break'] = {}
if arc_size > target_size:
mfu_size = (arc_size - mru_size)
output['arc_size_break']['recently_used_cache_size'] = {
'per': fPerc(mru_size, arc_size),
'num': fBytes(mru_size),
}
output['arc_size_break']['frequently_used_cache_size'] = {
'per': fPerc(mfu_size, arc_size),
'num': fBytes(mfu_size),
}
elif arc_size < target_size:
mfu_size = (target_size - mru_size)
output['arc_size_break']['recently_used_cache_size'] = {
'per': fPerc(mru_size, target_size),
'num': fBytes(mru_size),
}
output['arc_size_break']['frequently_used_cache_size'] = {
'per': fPerc(mfu_size, target_size),
'num': fBytes(mfu_size),
}
### ARC Hash Breakdown ###
hash_chain_max = Kstat["kstat.zfs.misc.arcstats.hash_chain_max"]
hash_chains = Kstat["kstat.zfs.misc.arcstats.hash_chains"]
hash_collisions = Kstat["kstat.zfs.misc.arcstats.hash_collisions"]
hash_elements = Kstat["kstat.zfs.misc.arcstats.hash_elements"]
hash_elements_max = Kstat["kstat.zfs.misc.arcstats.hash_elements_max"]
output['arc_hash_break'] = {}
output['arc_hash_break']['elements_max'] = fHits(hash_elements_max)
output['arc_hash_break']['elements_current'] = {
'per': fPerc(hash_elements, hash_elements_max),
'num': fHits(hash_elements),
}
output['arc_hash_break']['collisions'] = fHits(hash_collisions)
output['arc_hash_break']['chain_max'] = fHits(hash_chain_max)
output['arc_hash_break']['chains'] = fHits(hash_chains)
return output
def _arc_summary(Kstat):
### ARC Sizing ###
arc = get_arc_summary(Kstat)
sys.stdout.write("ARC Summary: (%s)\n" % arc['health'])
sys.stdout.write("\tMemory Throttle Count:\t\t\t%s\n" % arc['memory_throttle_count'])
sys.stdout.write("\n")
### ARC Misc. ###
sys.stdout.write("ARC Misc:\n")
sys.stdout.write("\tDeleted:\t\t\t\t%s\n" % arc['arc_misc']['deleted'])
sys.stdout.write("\tRecycle Misses:\t\t\t\t%s\n" % arc['arc_misc']['recycle_miss'])
sys.stdout.write("\tMutex Misses:\t\t\t\t%s\n" % arc['arc_misc']['mutex_miss'])
sys.stdout.write("\tEvict Skips:\t\t\t\t%s\n" % arc['arc_misc']['mutex_miss'])
sys.stdout.write("\n")
### ARC Sizing ###
sys.stdout.write("ARC Size:\t\t\t\t%s\t%s\n" % (
arc['arc_sizing']['arc_size']['per'],
arc['arc_sizing']['arc_size']['num']
)
)
sys.stdout.write("\tTarget Size: (Adaptive)\t\t%s\t%s\n" % (
arc['arc_sizing']['target_size']['per'],
arc['arc_sizing']['target_size']['num'],
)
)
sys.stdout.write("\tMin Size (Hard Limit):\t\t%s\t%s\n" % (
arc['arc_sizing']['target_min_size']['per'],
arc['arc_sizing']['target_min_size']['num'],
)
)
sys.stdout.write("\tMax Size (High Water):\t\t%d:1\t%s\n" % (
arc['arc_sizing']['target_max_size']['ratio'],
arc['arc_sizing']['target_max_size']['num'],
)
)
sys.stdout.write("\nARC Size Breakdown:\n")
sys.stdout.write("\tRecently Used Cache Size:\t%s\t%s\n" % (
arc['arc_size_break']['recently_used_cache_size']['per'],
arc['arc_size_break']['recently_used_cache_size']['num'],
)
)
sys.stdout.write("\tFrequently Used Cache Size:\t%s\t%s\n" % (
arc['arc_size_break']['frequently_used_cache_size']['per'],
arc['arc_size_break']['frequently_used_cache_size']['num'],
)
)
sys.stdout.write("\n")
### ARC Hash Breakdown ###
sys.stdout.write("ARC Hash Breakdown:\n")
sys.stdout.write("\tElements Max:\t\t\t\t%s\n" % arc['arc_hash_break']['elements_max'])
sys.stdout.write("\tElements Current:\t\t%s\t%s\n" % (
arc['arc_hash_break']['elements_current']['per'],
arc['arc_hash_break']['elements_current']['num'],
)
)
sys.stdout.write("\tCollisions:\t\t\t\t%s\n" % arc['arc_hash_break']['collisions'])
sys.stdout.write("\tChain Max:\t\t\t\t%s\n" % arc['arc_hash_break']['chain_max'])
sys.stdout.write("\tChains:\t\t\t\t\t%s\n" % arc['arc_hash_break']['chains'])
def get_arc_efficiency(Kstat):
output = {}
arc_hits = Kstat["kstat.zfs.misc.arcstats.hits"]
arc_misses = Kstat["kstat.zfs.misc.arcstats.misses"]
demand_data_hits = Kstat["kstat.zfs.misc.arcstats.demand_data_hits"]
demand_data_misses = Kstat["kstat.zfs.misc.arcstats.demand_data_misses"]
demand_metadata_hits = Kstat[
"kstat.zfs.misc.arcstats.demand_metadata_hits"
]
demand_metadata_misses = Kstat[
"kstat.zfs.misc.arcstats.demand_metadata_misses"
]
mfu_ghost_hits = Kstat["kstat.zfs.misc.arcstats.mfu_ghost_hits"]
mfu_hits = Kstat["kstat.zfs.misc.arcstats.mfu_hits"]
mru_ghost_hits = Kstat["kstat.zfs.misc.arcstats.mru_ghost_hits"]
mru_hits = Kstat["kstat.zfs.misc.arcstats.mru_hits"]
prefetch_data_hits = Kstat["kstat.zfs.misc.arcstats.prefetch_data_hits"]
prefetch_data_misses = Kstat[
"kstat.zfs.misc.arcstats.prefetch_data_misses"
]
prefetch_metadata_hits = Kstat[
"kstat.zfs.misc.arcstats.prefetch_metadata_hits"
]
prefetch_metadata_misses = Kstat[
"kstat.zfs.misc.arcstats.prefetch_metadata_misses"
]
anon_hits = arc_hits - (
mfu_hits + mru_hits + mfu_ghost_hits + mru_ghost_hits
)
arc_accesses_total = (arc_hits + arc_misses)
demand_data_total = (demand_data_hits + demand_data_misses)
prefetch_data_total = (prefetch_data_hits + prefetch_data_misses)
real_hits = (mfu_hits + mru_hits)
output["total_accesses"] = fHits(arc_accesses_total)
output["cache_hit_ratio"] = {
'per': fPerc(arc_hits, arc_accesses_total),
'num': fHits(arc_hits),
}
output["cache_miss_ratio"] = {
'per': fPerc(arc_misses, arc_accesses_total),
'num': fHits(arc_misses),
}
output["actual_hit_ratio"] = {
'per': fPerc(real_hits, arc_accesses_total),
'num': fHits(real_hits),
}
output["data_demand_efficiency"] = {
'per': fPerc(demand_data_hits, demand_data_total),
'num': fHits(demand_data_total),
}
if prefetch_data_total > 0:
output["data_prefetch_efficiency"] = {
'per': fPerc(prefetch_data_hits, prefetch_data_total),
'num': fHits(prefetch_data_total),
}
if anon_hits > 0:
output["cache_hits_by_cache_list"] = {}
output["cache_hits_by_cache_list"]["anonymously_used"] = {
'per': fPerc(anon_hits, arc_hits),
'num': fHits(anon_hits),
}
output["most_recently_used"] = {
'per': fPerc(mru_hits, arc_hits),
'num': fHits(mru_hits),
}
output["most_frequently_used"] = {
'per': fPerc(mfu_hits, arc_hits),
'num': fHits(mfu_hits),
}
output["most_recently_used_ghost"] = {
'per': fPerc(mru_ghost_hits, arc_hits),
'num': fHits(mru_ghost_hits),
}
output["most_frequently_used_ghost"] = {
'per': fPerc(mfu_ghost_hits, arc_hits),
'num': fHits(mfu_ghost_hits),
}
output["cache_hits_by_data_type"] = {}
output["cache_hits_by_data_type"]["demand_data"] = {
'per': fPerc(demand_data_hits, arc_hits),
'num': fHits(demand_data_hits),
}
output["cache_hits_by_data_type"]["prefetch_data"] = {
'per': fPerc(prefetch_data_hits, arc_hits),
'num': fHits(prefetch_data_hits),
}
output["cache_hits_by_data_type"]["demand_metadata"] = {
'per': fPerc(demand_metadata_hits, arc_hits),
'num': fHits(demand_metadata_hits),
}
output["cache_hits_by_data_type"]["prefetch_metadata"] = {
'per': fPerc(prefetch_metadata_hits, arc_hits),
'num': fHits(prefetch_metadata_hits),
}
output["cache_misses_by_data_type"] = {}
output["cache_misses_by_data_type"]["demand_data"] = {
'per': fPerc(demand_data_misses, arc_misses),
'num': fHits(demand_data_misses),
}
output["cache_misses_by_data_type"]["prefetch_data"] = {
'per': fPerc(prefetch_data_misses, arc_misses),
'num': fHits(prefetch_data_misses),
}
output["cache_misses_by_data_type"]["demand_metadata"] = {
'per': fPerc(demand_metadata_misses, arc_misses),
'num': fHits(demand_metadata_misses),
}
output["cache_misses_by_data_type"]["prefetch_metadata"] = {
'per': fPerc(prefetch_metadata_misses, arc_misses),
'num': fHits(prefetch_metadata_misses),
}
return output
def _arc_efficiency(Kstat):
arc = get_arc_efficiency(Kstat)
sys.stdout.write("ARC Total accesses:\t\t\t\t\t%s\n" % arc['total_accesses'])
sys.stdout.write("\tCache Hit Ratio:\t\t%s\t%s\n" % (
arc['cache_hit_ratio']['per'],
arc['cache_hit_ratio']['num'],
)
)
sys.stdout.write("\tCache Miss Ratio:\t\t%s\t%s\n" % (
arc['cache_miss_ratio']['per'],
arc['cache_miss_ratio']['num'],
)
)
sys.stdout.write("\tActual Hit Ratio:\t\t%s\t%s\n" % (
arc['actual_hit_ratio']['per'],
arc['actual_hit_ratio']['num'],
)
)
sys.stdout.write("\n")
sys.stdout.write("\tData Demand Efficiency:\t\t%s\t%s\n" % (
arc['data_demand_efficiency']['per'],
arc['data_demand_efficiency']['num'],
)
)
if 'data_prefetch_efficiency' in arc:
sys.stdout.write("\tData Prefetch Efficiency:\t%s\t%s\n" % (
arc['data_prefetch_efficiency']['per'],
arc['data_prefetch_efficiency']['num'],
)
)
sys.stdout.write("\n")
sys.stdout.write("\tCACHE HITS BY CACHE LIST:\n")
if 'cache_hits_by_cache_list' in arc:
sys.stdout.write("\t Anonymously Used:\t\t%s\t%s\n" % (
arc['cache_hits_by_cache_list']['anonymously_used']['per'],
arc['cache_hits_by_cache_list']['anonymously_used']['num'],
)
)
sys.stdout.write("\t Most Recently Used:\t\t%s\t%s\n" % (
arc['most_recently_used']['per'],
arc['most_recently_used']['num'],
)
)
sys.stdout.write("\t Most Frequently Used:\t\t%s\t%s\n" % (
arc['most_frequently_used']['per'],
arc['most_frequently_used']['num'],
)
)
sys.stdout.write("\t Most Recently Used Ghost:\t%s\t%s\n" % (
arc['most_recently_used_ghost']['per'],
arc['most_recently_used_ghost']['num'],
)
)
sys.stdout.write("\t Most Frequently Used Ghost:\t%s\t%s\n" % (
arc['most_frequently_used_ghost']['per'],
arc['most_frequently_used_ghost']['num'],
)
)
sys.stdout.write("\n\tCACHE HITS BY DATA TYPE:\n")
sys.stdout.write("\t Demand Data:\t\t\t%s\t%s\n" % (
arc["cache_hits_by_data_type"]['demand_data']['per'],
arc["cache_hits_by_data_type"]['demand_data']['num'],
)
)
sys.stdout.write("\t Prefetch Data:\t\t%s\t%s\n" % (
arc["cache_hits_by_data_type"]['prefetch_data']['per'],
arc["cache_hits_by_data_type"]['prefetch_data']['num'],
)
)
sys.stdout.write("\t Demand Metadata:\t\t%s\t%s\n" % (
arc["cache_hits_by_data_type"]['demand_metadata']['per'],
arc["cache_hits_by_data_type"]['demand_metadata']['num'],
)
)
sys.stdout.write("\t Prefetch Metadata:\t\t%s\t%s\n" % (
arc["cache_hits_by_data_type"]['prefetch_metadata']['per'],
arc["cache_hits_by_data_type"]['prefetch_metadata']['num'],
)
)
sys.stdout.write("\n\tCACHE MISSES BY DATA TYPE:\n")
sys.stdout.write("\t Demand Data:\t\t\t%s\t%s\n" % (
arc["cache_misses_by_data_type"]['demand_data']['per'],
arc["cache_misses_by_data_type"]['demand_data']['num'],
)
)
sys.stdout.write("\t Prefetch Data:\t\t%s\t%s\n" % (
arc["cache_misses_by_data_type"]['prefetch_data']['per'],
arc["cache_misses_by_data_type"]['prefetch_data']['num'],
)
)
sys.stdout.write("\t Demand Metadata:\t\t%s\t%s\n" % (
arc["cache_misses_by_data_type"]['demand_metadata']['per'],
arc["cache_misses_by_data_type"]['demand_metadata']['num'],
)
)
sys.stdout.write("\t Prefetch Metadata:\t\t%s\t%s\n" % (
arc["cache_misses_by_data_type"]['prefetch_metadata']['per'],
arc["cache_misses_by_data_type"]['prefetch_metadata']['num'],
)
)
def get_l2arc_summary(Kstat):
output = {}
l2_abort_lowmem = Kstat["kstat.zfs.misc.arcstats.l2_abort_lowmem"]
l2_cksum_bad = Kstat["kstat.zfs.misc.arcstats.l2_cksum_bad"]
l2_evict_lock_retry = Kstat["kstat.zfs.misc.arcstats.l2_evict_lock_retry"]
l2_evict_reading = Kstat["kstat.zfs.misc.arcstats.l2_evict_reading"]
l2_feeds = Kstat["kstat.zfs.misc.arcstats.l2_feeds"]
l2_free_on_write = Kstat["kstat.zfs.misc.arcstats.l2_free_on_write"]
l2_hdr_size = Kstat["kstat.zfs.misc.arcstats.l2_hdr_size"]
l2_hits = Kstat["kstat.zfs.misc.arcstats.l2_hits"]
l2_io_error = Kstat["kstat.zfs.misc.arcstats.l2_io_error"]
l2_misses = Kstat["kstat.zfs.misc.arcstats.l2_misses"]
l2_rw_clash = Kstat["kstat.zfs.misc.arcstats.l2_rw_clash"]
l2_size = Kstat["kstat.zfs.misc.arcstats.l2_size"]
l2_asize = Kstat["kstat.zfs.misc.arcstats.l2_asize"]
l2_writes_done = Kstat["kstat.zfs.misc.arcstats.l2_writes_done"]
l2_writes_error = Kstat["kstat.zfs.misc.arcstats.l2_writes_error"]
l2_writes_sent = Kstat["kstat.zfs.misc.arcstats.l2_writes_sent"]
l2_access_total = (l2_hits + l2_misses)
output['l2_health_count'] = (l2_writes_error + l2_cksum_bad + l2_io_error)
output['l2_access_total'] = l2_access_total
output['l2_size'] = l2_size
output['l2_asize'] = l2_asize
if l2_size > 0 and l2_access_total > 0:
if output['l2_health_count'] > 0:
output["health"] = "DEGRADED"
else:
output["health"] = "HEALTHY"
output["low_memory_aborts"] = fHits(l2_abort_lowmem)
output["free_on_write"] = fHits(l2_free_on_write)
output["rw_clashes"] = fHits(l2_rw_clash)
output["bad_checksums"] = fHits(l2_cksum_bad)
output["io_errors"] = fHits(l2_io_error)
output["l2_arc_size"] = {}
output["l2_arc_size"]["adative"] = fBytes(l2_size)
output["l2_arc_size"]["actual"] = {
'per': fPerc(l2_asize, l2_size),
'num': fBytes(l2_asize)
}
output["l2_arc_size"]["head_size"] = {
'per': fPerc(l2_hdr_size, l2_size),
'num': fBytes(l2_hdr_size),
}
output["l2_arc_evicts"] = {}
output["l2_arc_evicts"]['lock_retries'] = fHits(l2_evict_lock_retry)
output["l2_arc_evicts"]['reading'] = fHits(l2_evict_reading)
output['l2_arc_breakdown'] = {}
output['l2_arc_breakdown']['value'] = fHits(l2_access_total)
output['l2_arc_breakdown']['hit_ratio'] = {
'per': fPerc(l2_hits, l2_access_total),
'num': fHits(l2_hits),
}
output['l2_arc_breakdown']['miss_ratio'] = {
'per': fPerc(l2_misses, l2_access_total),
'num': fHits(l2_misses),
}
output['l2_arc_breakdown']['feeds'] = fHits(l2_feeds)
output['l2_arc_buffer'] = {}
output['l2_arc_writes'] = {}
output['l2_writes_done'] = l2_writes_done
output['l2_writes_sent'] = l2_writes_sent
if l2_writes_done != l2_writes_sent:
output['l2_arc_writes']['writes_sent'] = {
'value': "FAULTED",
'num': fHits(l2_writes_sent),
}
output['l2_arc_writes']['done_ratio'] = {
'per': fPerc(l2_writes_done, l2_writes_sent),
'num': fHits(l2_writes_done),
}
output['l2_arc_writes']['error_ratio'] = {
'per': fPerc(l2_writes_error, l2_writes_sent),
'num': fHits(l2_writes_error),
}
else:
output['l2_arc_writes']['writes_sent'] = {
'per': fPerc(100),
'num': fHits(l2_writes_sent),
}
return output
def _l2arc_summary(Kstat):
arc = get_l2arc_summary(Kstat)
if arc['l2_size'] > 0 and arc['l2_access_total'] > 0:
sys.stdout.write("L2 ARC Summary: ")
if arc['l2_health_count'] > 0:
sys.stdout.write("(DEGRADED)\n")
else:
sys.stdout.write("(HEALTHY)\n")
sys.stdout.write("\tLow Memory Aborts:\t\t\t%s\n" % arc['low_memory_aborts'])
sys.stdout.write("\tFree on Write:\t\t\t\t%s\n" % arc['free_on_write'])
sys.stdout.write("\tR/W Clashes:\t\t\t\t%s\n" % arc['rw_clashes'])
sys.stdout.write("\tBad Checksums:\t\t\t\t%s\n" % arc['bad_checksums'])
sys.stdout.write("\tIO Errors:\t\t\t\t%s\n" % arc['io_errors'])
sys.stdout.write("\n")
sys.stdout.write("L2 ARC Size: (Adaptive)\t\t\t\t%s\n" % arc["l2_arc_size"]["adative"])
sys.stdout.write("\tCompressed:\t\t\t%s\t%s\n" % (
arc["l2_arc_size"]["actual"]["per"],
arc["l2_arc_size"]["actual"]["num"],
)
)
sys.stdout.write("\tHeader Size:\t\t\t%s\t%s\n" % (
arc["l2_arc_size"]["head_size"]["per"],
arc["l2_arc_size"]["head_size"]["num"],
)
)
sys.stdout.write("\n")
if arc["l2_arc_evicts"]['lock_retries'] + arc["l2_arc_evicts"]["reading"] > 0:
sys.stdout.write("L2 ARC Evicts:\n")
sys.stdout.write("\tLock Retries:\t\t\t\t%s\n" % arc["l2_arc_evicts"]['lock_retries'])
sys.stdout.write("\tUpon Reading:\t\t\t\t%s\n" % arc["l2_arc_evicts"]["reading"])
sys.stdout.write("\n")
sys.stdout.write("L2 ARC Breakdown:\t\t\t\t%s\n" % arc['l2_arc_breakdown']['value'])
sys.stdout.write("\tHit Ratio:\t\t\t%s\t%s\n" % (
arc['l2_arc_breakdown']['hit_ratio']['per'],
arc['l2_arc_breakdown']['hit_ratio']['num'],
)
)
sys.stdout.write("\tMiss Ratio:\t\t\t%s\t%s\n" % (
arc['l2_arc_breakdown']['miss_ratio']['per'],
arc['l2_arc_breakdown']['miss_ratio']['num'],
)
)
sys.stdout.write("\tFeeds:\t\t\t\t\t%s\n" % arc['l2_arc_breakdown']['feeds'])
sys.stdout.write("\n")
sys.stdout.write("L2 ARC Writes:\n")
if arc['l2_writes_done'] != arc['l2_writes_sent']:
sys.stdout.write("\tWrites Sent: (%s)\t\t\t\t%s\n" % (
arc['l2_arc_writes']['writes_sent']['value'],
arc['l2_arc_writes']['writes_sent']['num'],
)
)
sys.stdout.write("\t Done Ratio:\t\t\t%s\t%s\n" % (
arc['l2_arc_writes']['done_ratio']['per'],
arc['l2_arc_writes']['done_ratio']['num'],
)
)
sys.stdout.write("\t Error Ratio:\t\t\t%s\t%s\n" % (
arc['l2_arc_writes']['error_ratio']['per'],
arc['l2_arc_writes']['error_ratio']['num'],
)
)
else:
sys.stdout.write("\tWrites Sent:\t\t\t%s\t%s\n" % (
arc['l2_arc_writes']['writes_sent']['per'],
arc['l2_arc_writes']['writes_sent']['num'],
)
)
def get_dmu_summary(Kstat):
output = {}
zfetch_bogus_streams = Kstat["kstat.zfs.misc.zfetchstats.bogus_streams"]
zfetch_colinear_hits = Kstat["kstat.zfs.misc.zfetchstats.colinear_hits"]
zfetch_colinear_misses = Kstat["kstat.zfs.misc.zfetchstats.colinear_misses"]
zfetch_hits = Kstat["kstat.zfs.misc.zfetchstats.hits"]
zfetch_misses = Kstat["kstat.zfs.misc.zfetchstats.misses"]
zfetch_reclaim_failures = Kstat["kstat.zfs.misc.zfetchstats.reclaim_failures"]
zfetch_reclaim_successes = Kstat["kstat.zfs.misc.zfetchstats.reclaim_successes"]
zfetch_streams_noresets = Kstat["kstat.zfs.misc.zfetchstats.streams_noresets"]
zfetch_streams_resets = Kstat["kstat.zfs.misc.zfetchstats.streams_resets"]
zfetch_stride_hits = Kstat["kstat.zfs.misc.zfetchstats.stride_hits"]
zfetch_stride_misses = Kstat["kstat.zfs.misc.zfetchstats.stride_misses"]
zfetch_access_total = (zfetch_hits + zfetch_misses)
zfetch_colinear_total = (zfetch_colinear_hits + zfetch_colinear_misses)
zfetch_health_count = (zfetch_bogus_streams)
zfetch_reclaim_total = (zfetch_reclaim_successes + zfetch_reclaim_failures)
zfetch_streams_total = (zfetch_streams_resets + zfetch_streams_noresets + zfetch_bogus_streams)
zfetch_stride_total = (zfetch_stride_hits + zfetch_stride_misses)
output['zfetch_access_total'] = zfetch_access_total
if zfetch_access_total > 0:
output['file_level_prefetch'] = {}
if zfetch_health_count > 0:
output['file_level_prefetch']['health'] = 'DEGRADED'
else:
output['file_level_prefetch']['health'] = 'HEALTHY'
output['dmu'] = {}
output['dmu']['efficiency'] = {}
output['dmu']['efficiency']['value'] = fHits(zfetch_access_total)
output['dmu']['efficiency']['hit_ratio'] = {
'per': fPerc(zfetch_hits, zfetch_access_total),
'num': fHits(zfetch_hits),
}
output['dmu']['efficiency']['miss_ratio'] = {
'per': fPerc(zfetch_misses, zfetch_access_total),
'num': fHits(zfetch_misses),
}
output['dmu']['colinear'] = {}
output['dmu']['colinear']['value'] = fHits(zfetch_colinear_total)
output['dmu']['colinear']['hit_ratio'] = {
'per': fPerc(zfetch_colinear_hits, zfetch_colinear_total),
'num': fHits(zfetch_colinear_hits),
}
output['dmu']['colinear']['miss_ratio'] = {
'per': fPerc(zfetch_colinear_misses, zfetch_colinear_total),
'num': fHits(zfetch_colinear_misses),
}
output['dmu']['stride'] = {}
output['dmu']['stride']['value'] = fHits(zfetch_stride_total)
output['dmu']['stride']['hit_ratio'] = {
'per': fPerc(zfetch_stride_hits, zfetch_stride_total),
'num': fHits(zfetch_stride_hits),
}
output['dmu']['stride']['miss_ratio'] = {
'per': fPerc(zfetch_stride_misses, zfetch_stride_total),
'num': fHits(zfetch_stride_misses),
}
output['dmu_misc'] = {}
if zfetch_health_count > 0:
output['dmu_misc']['status'] = "FAULTED"
else:
output['dmu_misc']['status'] = ""
output['dmu_misc']['reclaim'] = {}
output['dmu_misc']['reclaim']['value'] = fHits(zfetch_reclaim_total)
output['dmu_misc']['reclaim']['successes'] = {
'per': fPerc(zfetch_reclaim_successes, zfetch_reclaim_total),
'num': fHits(zfetch_reclaim_successes),
}
output['dmu_misc']['reclaim']['failure'] = {
'per': fPerc(zfetch_reclaim_failures, zfetch_reclaim_total),
'num': fHits(zfetch_reclaim_failures),
}
output['dmu_misc']['streams'] = {}
output['dmu_misc']['streams']['value'] = fHits(zfetch_streams_total)
output['dmu_misc']['streams']['plus_resets'] = {
'per': fPerc(zfetch_streams_resets, zfetch_streams_total),
'num': fHits(zfetch_streams_resets),
}
output['dmu_misc']['streams']['neg_resets'] = {
'per': fPerc(zfetch_streams_noresets, zfetch_streams_total),
'num': fHits(zfetch_streams_noresets),
}
output['dmu_misc']['streams']['bogus'] = fHits(zfetch_bogus_streams)
return output
def _dmu_summary(Kstat):
arc = get_dmu_summary(Kstat)
if arc['zfetch_access_total'] > 0:
sys.stdout.write("File-Level Prefetch: (%s)" % arc['file_level_prefetch']['health'])
sys.stdout.write("\n")
sys.stdout.write("DMU Efficiency:\t\t\t\t\t%s\n" % arc['dmu']['efficiency']['value'])
sys.stdout.write("\tHit Ratio:\t\t\t%s\t%s\n" % (
arc['dmu']['efficiency']['hit_ratio']['per'],
arc['dmu']['efficiency']['hit_ratio']['num'],
)
)
sys.stdout.write("\tMiss Ratio:\t\t\t%s\t%s\n" % (
arc['dmu']['efficiency']['miss_ratio']['per'],
arc['dmu']['efficiency']['miss_ratio']['num'],
)
)
sys.stdout.write("\n")
sys.stdout.write("\tColinear:\t\t\t\t%s\n" % arc['dmu']['colinear']['value'])
sys.stdout.write("\t Hit Ratio:\t\t\t%s\t%s\n" % (
arc['dmu']['colinear']['hit_ratio']['per'],
arc['dmu']['colinear']['hit_ratio']['num'],
)
)
sys.stdout.write("\t Miss Ratio:\t\t\t%s\t%s\n" % (
arc['dmu']['colinear']['miss_ratio']['per'],
arc['dmu']['colinear']['miss_ratio']['num'],
)
)
sys.stdout.write("\n")
sys.stdout.write("\tStride:\t\t\t\t\t%s\n" % arc['dmu']['stride']['value'])
sys.stdout.write("\t Hit Ratio:\t\t\t%s\t%s\n" % (
arc['dmu']['stride']['hit_ratio']['per'],
arc['dmu']['stride']['hit_ratio']['num'],
)
)
sys.stdout.write("\t Miss Ratio:\t\t\t%s\t%s\n" % (
arc['dmu']['stride']['miss_ratio']['per'],
arc['dmu']['stride']['miss_ratio']['num'],
)
)
sys.stdout.write("\n")
sys.stdout.write("DMU Misc: %s\n" % arc['dmu_misc']['status'])
sys.stdout.write("\tReclaim:\t\t\t\t%s\n" % arc['dmu_misc']['reclaim']['value'])
sys.stdout.write("\t Successes:\t\t\t%s\t%s\n" % (
arc['dmu_misc']['reclaim']['successes']['per'],
arc['dmu_misc']['reclaim']['successes']['num'],
)
)
sys.stdout.write("\t Failures:\t\t\t%s\t%s\n" % (
arc['dmu_misc']['reclaim']['failure']['per'],
arc['dmu_misc']['reclaim']['failure']['num'],
)
)
sys.stdout.write("\n\tStreams:\t\t\t\t%s\n" % arc['dmu_misc']['streams']['value'])
sys.stdout.write("\t +Resets:\t\t\t%s\t%s\n" % (
arc['dmu_misc']['streams']['plus_resets']['per'],
arc['dmu_misc']['streams']['plus_resets']['num'],
)
)
sys.stdout.write("\t -Resets:\t\t\t%s\t%s\n" % (
arc['dmu_misc']['streams']['neg_resets']['per'],
arc['dmu_misc']['streams']['neg_resets']['num'],
)
)
sys.stdout.write("\t Bogus:\t\t\t\t%s\n" % arc['dmu_misc']['streams']['bogus'])
def get_vdev_summary(Kstat):
output = {}
vdev_cache_delegations = Kstat["kstat.zfs.misc.vdev_cache_stats.delegations"]
vdev_cache_misses = Kstat["kstat.zfs.misc.vdev_cache_stats.misses"]
vdev_cache_hits = Kstat["kstat.zfs.misc.vdev_cache_stats.hits"]
vdev_cache_total = (vdev_cache_misses + vdev_cache_hits + vdev_cache_delegations)
output['vdev_cache_total'] = vdev_cache_total
if vdev_cache_total > 0:
output['summary'] = fHits(vdev_cache_total)
output['hit_ratio'] = {
'per': fPerc(vdev_cache_hits, vdev_cache_total),
'num': fHits(vdev_cache_hits),
}
output['miss_ratio'] = {
'per': fPerc(vdev_cache_misses, vdev_cache_total),
'num': fHits(vdev_cache_misses),
}
output['delegations'] = {
'per': fPerc(vdev_cache_delegations, vdev_cache_total),
'num': fHits(vdev_cache_delegations),
}
return output
def _vdev_summary(Kstat):
arc = get_vdev_summary(Kstat)
if arc['vdev_cache_total'] > 0:
sys.stdout.write("VDEV Cache Summary:\t\t\t\t%s\n" % arc['summary'])
sys.stdout.write("\tHit Ratio:\t\t\t%s\t%s\n" % (
arc['hit_ratio']['per'],
arc['hit_ratio']['num'],
))
sys.stdout.write("\tMiss Ratio:\t\t\t%s\t%s\n" % (
arc['miss_ratio']['per'],
arc['miss_ratio']['num'],
))
sys.stdout.write("\tDelegations:\t\t\t%s\t%s\n" % (
arc['delegations']['per'],
arc['delegations']['num'],
))
def get_systl_summary(Kstat):
output = {}
return output
def _sysctl_summary(Kstat):
global show_sysctl_descriptions
global alternate_sysctl_layout
Tunable = [
"kern.maxusers",
"vm.kmem_size",
"vm.kmem_size_scale",
"vm.kmem_size_min",
"vm.kmem_size_max",
"vfs.zfs"
]
if not usetunable:
return
sysctl_descriptions = {}
if show_sysctl_descriptions:
tunables = " ".join(str(x) for x in Tunable)
p = Popen("/sbin/sysctl -qde %s" % tunables, stdin=PIPE,
stdout=PIPE, stderr=PIPE, shell=True, close_fds=True)
p.wait()
descriptions = p.communicate()[0].split('\n')
if p.returncode != 0:
sys.exit(1)
for tunable in descriptions:
if not tunable:
continue
tunable = tunable.strip()
name, description = tunable.split('=')[:2]
name = name.strip()
description = description.strip()
if not description:
description = "Description unavailable"
sysctl_descriptions[name] = description
tunables = " ".join(str(x) for x in Tunable)
p = Popen("/sbin/sysctl -qe %s" % tunables, stdin=PIPE,
stdout=PIPE, stderr=PIPE, shell=True, close_fds=True)
p.wait()
zfs_tunables = p.communicate()[0].split('\n')
if p.returncode != 0:
sys.exit(1)
sys.stdout.write("ZFS Tunable (sysctl):\n")
for tunable in zfs_tunables:
if not tunable:
continue
tunable = tunable.strip()
name, value = tunable.split("=")[0:2]
name = name.strip()
value = D(value.strip())
format = "\t%s=%d\n" if alternate_sysctl_layout else "\t%-40s%d\n"
if show_sysctl_descriptions:
sys.stdout.write("\t\# %s\n" % sysctl_descriptions[name])
sys.stdout.write(format % (name, value))
unSub = [
_arc_summary,
_arc_efficiency,
_l2arc_summary,
_dmu_summary,
_vdev_summary,
]
def zfs_header():
daydate = time.strftime("%a %b %d %H:%M:%S %Y")
div1()
sys.stdout.write("ZFS Subsystem Report\t\t\t\t%s" % daydate)
div2()
def main():
global show_sysctl_descriptions
global alternate_sysctl_layout
opts, args = getopt.getopt(
sys.argv[1:], "adp:"
)
args = {}
for opt, arg in opts:
if opt == '-a':
args['a'] = True
if opt == '-d':
args['d'] = True
if opt == '-p':
args['p'] = arg
Kstat = get_Kstat()
alternate_sysctl_layout = 'a' in args
show_sysctl_descriptions = 'd' in args
pages = []
if 'p' in args:
try:
pages.append(unSub[int(args['p']) - 1])
except IndexError , e:
sys.stderr.write('the argument to -p must be between 1 and ' +
str(len(unSub)) + '\n')
sys.exit()
else:
pages = unSub
zfs_header()
for page in pages:
page(Kstat)
div2()
if __name__ == '__main__':
main()