3 # Copyright (c) 2008 Ben Rockwood <benr@cuddletech.com>,
4 # Copyright (c) 2010 Martin Matuska <mm@FreeBSD.org>,
5 # Copyright (c) 2010-2011 Jason J. Hellenthal <jhell@DataIX.net>,
6 # Copyright (c) 2017 Scot W. Stevenson <scot.stevenson@gmail.com>
9 # Redistribution and use in source and binary forms, with or without
10 # modification, are permitted provided that the following conditions
13 # 1. Redistributions of source code must retain the above copyright
14 # notice, this list of conditions and the following disclaimer.
15 # 2. Redistributions in binary form must reproduce the above copyright
16 # notice, this list of conditions and the following disclaimer in the
17 # documentation and/or other materials provided with the distribution.
19 # THIS SOFTWARE IS PROVIDED BY AUTHOR AND CONTRIBUTORS ``AS IS'' AND
20 # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
21 # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
22 # ARE DISCLAIMED. IN NO EVENT SHALL AUTHOR OR CONTRIBUTORS BE LIABLE
23 # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
24 # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
25 # OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
26 # HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
27 # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
28 # OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
30 """Print statistics on the ZFS ARC Cache and other information
32 Provides basic information on the ARC, its efficiency, the L2ARC (if present),
33 the Data Management Unit (DMU), Virtual Devices (VDEVs), and tunables. See
34 the in-source documentation and code at
35 https://github.com/openzfs/zfs/blob/master/module/zfs/arc.c for details.
36 The original introduction to arc_summary can be found at
37 http://cuddletech.com/?p=454
47 # We can't use env -S portably, and we need python3 -u to handle pipes in
48 # the shell abruptly closing the way we want to, so...
50 if isinstance(sys.__stderr__.buffer, io.BufferedWriter):
51 os.execv(sys.executable, [sys.executable, "-u"] + sys.argv)
53 DESCRIPTION = 'Print ARC and other statistics for OpenZFS'
56 DATE_FORMAT = '%a %b %d %H:%M:%S %Y'
57 TITLE = 'ZFS Subsystem Report'
59 SECTIONS = 'arc archits dmu l2arc spl tunables vdev zil'.split()
60 SECTION_HELP = 'print info from one section ('+' '.join(SECTIONS)+')'
62 # Tunables and SPL are handled separately because they come from
64 SECTION_PATHS = {'arc': 'arcstats',
66 'l2arc': 'arcstats', # L2ARC stuff lives in arcstats
67 'vdev': 'vdev_cache_stats',
68 'zfetch': 'zfetchstats',
71 parser = argparse.ArgumentParser(description=DESCRIPTION)
72 parser.add_argument('-a', '--alternate', action='store_true', default=False,
73 help='use alternate formatting for tunables and SPL',
75 parser.add_argument('-d', '--description', action='store_true', default=False,
76 help='print descriptions with tunables and SPL',
78 parser.add_argument('-g', '--graph', action='store_true', default=False,
79 help='print graph on ARC use and exit', dest='graph')
80 parser.add_argument('-p', '--page', type=int, dest='page',
81 help='print page by number (DEPRECATED, use "-s")')
82 parser.add_argument('-r', '--raw', action='store_true', default=False,
83 help='dump all available data with minimal formatting',
85 parser.add_argument('-s', '--section', dest='section', help=SECTION_HELP)
86 ARGS = parser.parse_args()
89 if sys.platform.startswith('freebsd'):
90 # Requires py36-sysctl on FreeBSD
93 VDEV_CACHE_SIZE = 'vdev.cache_size'
96 return ctl.type != sysctl.CTLTYPE_NODE
98 def namefmt(ctl, base='vfs.zfs.'):
99 # base is removed from the name
101 return ctl.name[cut:]
103 def load_kstats(section):
104 base = 'kstat.zfs.misc.{section}.'.format(section=section)
105 fmt = lambda kstat: '{name} : {value}'.format(name=namefmt(kstat, base),
107 kstats = sysctl.filter(base)
108 return [fmt(kstat) for kstat in kstats if is_value(kstat)]
110 def get_params(base):
111 ctls = sysctl.filter(base)
112 return {namefmt(ctl): str(ctl.value) for ctl in ctls if is_value(ctl)}
114 def get_tunable_params():
115 return get_params('vfs.zfs')
117 def get_vdev_params():
118 return get_params('vfs.zfs.vdev')
120 def get_version_impl(request):
121 # FreeBSD reports versions for zpl and spa instead of zfs and spl.
122 name = {'zfs': 'zpl',
123 'spl': 'spa'}[request]
124 mib = 'vfs.zfs.version.{}'.format(name)
125 version = sysctl.filter(mib)[0].value
126 return '{} version {}'.format(name, version)
128 def get_descriptions(_request):
129 ctls = sysctl.filter('vfs.zfs')
130 return {namefmt(ctl): ctl.description for ctl in ctls if is_value(ctl)}
133 elif sys.platform.startswith('linux'):
134 KSTAT_PATH = '/proc/spl/kstat/zfs'
135 SPL_PATH = '/sys/module/spl/parameters'
136 TUNABLES_PATH = '/sys/module/zfs/parameters'
138 VDEV_CACHE_SIZE = 'zfs_vdev_cache_size'
140 def load_kstats(section):
141 path = os.path.join(KSTAT_PATH, section)
142 with open(path) as f:
143 return list(f)[2:] # Get rid of header
145 def get_params(basepath):
146 """Collect information on the Solaris Porting Layer (SPL) or the
147 tunables, depending on the PATH given. Does not check if PATH is
151 for name in os.listdir(basepath):
152 path = os.path.join(basepath, name)
153 with open(path) as f:
155 result[name] = value.strip()
158 def get_spl_params():
159 return get_params(SPL_PATH)
161 def get_tunable_params():
162 return get_params(TUNABLES_PATH)
164 def get_vdev_params():
165 return get_params(TUNABLES_PATH)
167 def get_version_impl(request):
168 # The original arc_summary called /sbin/modinfo/{spl,zfs} to get
169 # the version information. We switch to /sys/module/{spl,zfs}/version
170 # to make sure we get what is really loaded in the kernel
172 with open("/sys/module/{}/version".format(request)) as f:
173 return f.read().strip()
177 def get_descriptions(request):
178 """Get the descriptions of the Solaris Porting Layer (SPL) or the
179 tunables, return with minimal formatting.
182 if request not in ('spl', 'zfs'):
183 print('ERROR: description of "{0}" requested)'.format(request))
187 target_prefix = 'parm:'
189 # We would prefer to do this with /sys/modules -- see the discussion at
190 # get_version() -- but there isn't a way to get the descriptions from
191 # there, so we fall back on modinfo
192 command = ["/sbin/modinfo", request, "-0"]
198 info = subprocess.run(command, stdout=subprocess.PIPE,
199 check=True, universal_newlines=True)
200 raw_output = info.stdout.split('\0')
202 except subprocess.CalledProcessError:
203 print("Error: Descriptions not available",
204 "(can't access kernel module)")
207 for line in raw_output:
209 if not line.startswith(target_prefix):
212 line = line[len(target_prefix):].strip()
213 name, raw_desc = line.split(':', 1)
214 desc = raw_desc.rsplit('(', 1)[0]
217 desc = '(No description found)'
219 descs[name.strip()] = desc.strip()
223 def handle_unraisableException(exc_type, exc_value=None, exc_traceback=None,
224 err_msg=None, object=None):
225 handle_Exception(exc_type, object, exc_traceback)
227 def handle_Exception(ex_cls, ex, tb):
228 if ex_cls is KeyboardInterrupt:
231 if ex_cls is BrokenPipeError:
232 # It turns out that while sys.exit() triggers an exception
233 # not handled message on Python 3.8+, os._exit() does not.
236 if ex_cls is OSError:
237 if ex.errno == errno.ENOTCONN:
242 if hasattr(sys,'unraisablehook'): # Python 3.8+
243 sys.unraisablehook = handle_unraisableException
244 sys.excepthook = handle_Exception
247 def cleanup_line(single_line):
248 """Format a raw line of data from /proc and isolate the name value
249 part, returning a tuple with each. Currently, this gets rid of the
250 middle '4'. For example "arc_no_grow 4 0" returns the tuple
251 ("arc_no_grow", "0").
253 name, _, value = single_line.split()
258 def draw_graph(kstats_dict):
259 """Draw a primitive graph representing the basic information on the
260 ARC -- its size and the proportion used by MFU and MRU -- and quit.
261 We use max size of the ARC to calculate how full it is. This is a
262 very rough representation.
265 arc_stats = isolate_section('arcstats', kstats_dict)
269 arc_size = f_bytes(arc_stats['size'])
270 arc_perc = f_perc(arc_stats['size'], arc_stats['c_max'])
271 mfu_size = f_bytes(arc_stats['mfu_size'])
272 mru_size = f_bytes(arc_stats['mru_size'])
273 meta_limit = f_bytes(arc_stats['arc_meta_limit'])
274 meta_size = f_bytes(arc_stats['arc_meta_used'])
275 dnode_limit = f_bytes(arc_stats['arc_dnode_limit'])
276 dnode_size = f_bytes(arc_stats['dnode_size'])
278 info_form = ('ARC: {0} ({1}) MFU: {2} MRU: {3} META: {4} ({5}) '
280 info_line = info_form.format(arc_size, arc_perc, mfu_size, mru_size,
281 meta_size, meta_limit, dnode_size,
283 info_spc = ' '*int((GRAPH_WIDTH-len(info_line))/2)
284 info_line = GRAPH_INDENT+info_spc+info_line
286 graph_line = GRAPH_INDENT+'+'+('-'*(GRAPH_WIDTH-2))+'+'
288 mfu_perc = float(int(arc_stats['mfu_size'])/int(arc_stats['c_max']))
289 mru_perc = float(int(arc_stats['mru_size'])/int(arc_stats['c_max']))
290 arc_perc = float(int(arc_stats['size'])/int(arc_stats['c_max']))
291 total_ticks = float(arc_perc)*GRAPH_WIDTH
292 mfu_ticks = mfu_perc*GRAPH_WIDTH
293 mru_ticks = mru_perc*GRAPH_WIDTH
294 other_ticks = total_ticks-(mfu_ticks+mru_ticks)
296 core_form = 'F'*int(mfu_ticks)+'R'*int(mru_ticks)+'O'*int(other_ticks)
297 core_spc = ' '*(GRAPH_WIDTH-(2+len(core_form)))
298 core_line = GRAPH_INDENT+'|'+core_form+core_spc+'|'
300 for line in ('', info_line, graph_line, core_line, graph_line, ''):
304 def f_bytes(byte_string):
305 """Return human-readable representation of a byte value in
306 powers of 2 (eg "KiB" for "kibibytes", etc) to two decimal
307 points. Values smaller than one KiB are returned without
308 decimal points. Note "bytes" is a reserved keyword.
311 prefixes = ([2**80, "YiB"], # yobibytes (yotta)
312 [2**70, "ZiB"], # zebibytes (zetta)
313 [2**60, "EiB"], # exbibytes (exa)
314 [2**50, "PiB"], # pebibytes (peta)
315 [2**40, "TiB"], # tebibytes (tera)
316 [2**30, "GiB"], # gibibytes (giga)
317 [2**20, "MiB"], # mebibytes (mega)
318 [2**10, "KiB"]) # kibibytes (kilo)
320 bites = int(byte_string)
323 for limit, unit in prefixes:
326 value = bites / limit
329 result = '{0:.1f} {1}'.format(value, unit)
331 result = '{0} Bytes'.format(bites)
336 def f_hits(hits_string):
337 """Create a human-readable representation of the number of hits.
338 The single-letter symbols used are SI to avoid the confusion caused
339 by the different "short scale" and "long scale" representations in
340 English, which use the same words for different values. See
341 https://en.wikipedia.org/wiki/Names_of_large_numbers and:
342 https://physics.nist.gov/cuu/Units/prefixes.html
345 numbers = ([10**24, 'Y'], # yotta (septillion)
346 [10**21, 'Z'], # zetta (sextillion)
347 [10**18, 'E'], # exa (quintrillion)
348 [10**15, 'P'], # peta (quadrillion)
349 [10**12, 'T'], # tera (trillion)
350 [10**9, 'G'], # giga (billion)
351 [10**6, 'M'], # mega (million)
352 [10**3, 'k']) # kilo (thousand)
354 hits = int(hits_string)
357 for limit, symbol in numbers:
363 result = "%0.1f%s" % (value, symbol)
370 def f_perc(value1, value2):
371 """Calculate percentage and return in human-readable form. If
372 rounding produces the result '0.0' though the first number is
373 not zero, include a 'less-than' symbol to avoid confusion.
374 Division by zero is handled by returning 'n/a'; no error
383 except ZeroDivisionError:
386 result = '{0:0.1f} %'.format(perc)
388 if result == '0.0 %' and v1 > 0:
394 def format_raw_line(name, value):
395 """For the --raw option for the tunable and SPL outputs, decide on the
396 correct formatting based on the --alternate flag.
400 result = '{0}{1}={2}'.format(INDENT, name, value)
402 # Right-align the value within the line length if it fits,
403 # otherwise just separate it from the name by a single space.
404 fit = LINE_LENGTH - len(INDENT) - len(name)
405 overflow = len(value) + 1
406 w = max(fit, overflow)
407 result = '{0}{1}{2:>{w}}'.format(INDENT, name, value, w=w)
413 """Collect information on the ZFS subsystem. The step does not perform any
414 further processing, giving us the option to only work on what is actually
415 needed. The name "kstat" is a holdover from the Solaris utility of the same
421 for section in SECTION_PATHS.values():
422 if section not in result:
423 result[section] = load_kstats(section)
428 def get_version(request):
429 """Get the version number of ZFS or SPL on this machine for header.
430 Returns an error string, but does not raise an error, if we can't
431 get the ZFS/SPL version.
434 if request not in ('spl', 'zfs'):
435 error_msg = '(ERROR: "{0}" requested)'.format(request)
438 return get_version_impl(request)
442 """Print the initial heading with date and time as well as info on the
443 kernel and ZFS versions. This is not called for the graph.
446 # datetime is now recommended over time but we keep the exact formatting
447 # from the older version of arc_summary in case there are scripts
448 # that expect it in this way
449 daydate = time.strftime(DATE_FORMAT)
450 spc_date = LINE_LENGTH-len(daydate)
451 sys_version = os.uname()
453 sys_msg = sys_version.sysname+' '+sys_version.release
454 zfs = get_version('zfs')
455 spc_zfs = LINE_LENGTH-len(zfs)
457 machine_msg = 'Machine: '+sys_version.nodename+' ('+sys_version.machine+')'
458 spl = get_version('spl')
459 spc_spl = LINE_LENGTH-len(spl)
461 print('\n'+('-'*LINE_LENGTH))
462 print('{0:<{spc}}{1}'.format(TITLE, daydate, spc=spc_date))
463 print('{0:<{spc}}{1}'.format(sys_msg, zfs, spc=spc_zfs))
464 print('{0:<{spc}}{1}\n'.format(machine_msg, spl, spc=spc_spl))
467 def print_raw(kstats_dict):
468 """Print all available data from the system in a minimally sorted format.
469 This can be used as a source to be piped through 'grep'.
472 sections = sorted(kstats_dict.keys())
474 for section in sections:
476 print('\n{0}:'.format(section.upper()))
477 lines = sorted(kstats_dict[section])
480 name, value = cleanup_line(line)
481 print(format_raw_line(name, value))
483 # Tunables and SPL must be handled separately because they come from a
484 # different source and have descriptions the user might request
490 def isolate_section(section_name, kstats_dict):
491 """From the complete information on all sections, retrieve only those
496 section_data = kstats_dict[section_name]
498 print('ERROR: Data on {0} not available'.format(section_data))
501 section_dict = dict(cleanup_line(l) for l in section_data)
506 # Formatted output helper functions
509 def prt_1(text, value):
510 """Print text and one value, no indent"""
511 spc = ' '*(LINE_LENGTH-(len(text)+len(value)))
512 print('{0}{spc}{1}'.format(text, value, spc=spc))
515 def prt_i1(text, value):
516 """Print text and one value, with indent"""
517 spc = ' '*(LINE_LENGTH-(len(INDENT)+len(text)+len(value)))
518 print(INDENT+'{0}{spc}{1}'.format(text, value, spc=spc))
521 def prt_2(text, value1, value2):
522 """Print text and two values, no indent"""
523 values = '{0:>9} {1:>9}'.format(value1, value2)
524 spc = ' '*(LINE_LENGTH-(len(text)+len(values)+2))
525 print('{0}{spc} {1}'.format(text, values, spc=spc))
528 def prt_i2(text, value1, value2):
529 """Print text and two values, with indent"""
530 values = '{0:>9} {1:>9}'.format(value1, value2)
531 spc = ' '*(LINE_LENGTH-(len(INDENT)+len(text)+len(values)+2))
532 print(INDENT+'{0}{spc} {1}'.format(text, values, spc=spc))
535 # The section output concentrates on important parameters instead of
536 # being exhaustive (that is what the --raw parameter is for)
539 def section_arc(kstats_dict):
540 """Give basic information on the ARC, MRU and MFU. This is the first
541 and most used section.
544 arc_stats = isolate_section('arcstats', kstats_dict)
546 throttle = arc_stats['memory_throttle_count']
553 prt_1('ARC status:', health)
554 prt_i1('Memory throttle count:', throttle)
557 arc_size = arc_stats['size']
558 arc_target_size = arc_stats['c']
559 arc_max = arc_stats['c_max']
560 arc_min = arc_stats['c_min']
561 anon_size = arc_stats['anon_size']
562 mfu_size = arc_stats['mfu_size']
563 mru_size = arc_stats['mru_size']
564 mfug_size = arc_stats['mfu_ghost_size']
565 mrug_size = arc_stats['mru_ghost_size']
566 unc_size = arc_stats['uncached_size']
567 meta_limit = arc_stats['arc_meta_limit']
568 meta_size = arc_stats['arc_meta_used']
569 dnode_limit = arc_stats['arc_dnode_limit']
570 dnode_size = arc_stats['dnode_size']
571 target_size_ratio = '{0}:1'.format(int(arc_max) // int(arc_min))
573 prt_2('ARC size (current):',
574 f_perc(arc_size, arc_max), f_bytes(arc_size))
575 prt_i2('Target size (adaptive):',
576 f_perc(arc_target_size, arc_max), f_bytes(arc_target_size))
577 prt_i2('Min size (hard limit):',
578 f_perc(arc_min, arc_max), f_bytes(arc_min))
579 prt_i2('Max size (high water):',
580 target_size_ratio, f_bytes(arc_max))
581 caches_size = int(anon_size)+int(mfu_size)+int(mru_size)+int(unc_size)
582 prt_i2('Anonymouns data size:',
583 f_perc(anon_size, caches_size), f_bytes(anon_size))
584 prt_i2('Most Frequently Used (MFU) cache size:',
585 f_perc(mfu_size, caches_size), f_bytes(mfu_size))
586 prt_i2('Most Recently Used (MRU) cache size:',
587 f_perc(mru_size, caches_size), f_bytes(mru_size))
588 prt_i1('Most Frequently Used (MFU) ghost size:', f_bytes(mfug_size))
589 prt_i1('Most Recently Used (MRU) ghost size:', f_bytes(mrug_size))
590 prt_i2('Uncached data size:',
591 f_perc(unc_size, caches_size), f_bytes(unc_size))
592 prt_i2('Metadata cache size (hard limit):',
593 f_perc(meta_limit, arc_max), f_bytes(meta_limit))
594 prt_i2('Metadata cache size (current):',
595 f_perc(meta_size, meta_limit), f_bytes(meta_size))
596 prt_i2('Dnode cache size (hard limit):',
597 f_perc(dnode_limit, meta_limit), f_bytes(dnode_limit))
598 prt_i2('Dnode cache size (current):',
599 f_perc(dnode_size, dnode_limit), f_bytes(dnode_size))
602 print('ARC hash breakdown:')
603 prt_i1('Elements max:', f_hits(arc_stats['hash_elements_max']))
604 prt_i2('Elements current:',
605 f_perc(arc_stats['hash_elements'], arc_stats['hash_elements_max']),
606 f_hits(arc_stats['hash_elements']))
607 prt_i1('Collisions:', f_hits(arc_stats['hash_collisions']))
609 prt_i1('Chain max:', f_hits(arc_stats['hash_chain_max']))
610 prt_i1('Chains:', f_hits(arc_stats['hash_chains']))
614 prt_i1('Deleted:', f_hits(arc_stats['deleted']))
615 prt_i1('Mutex misses:', f_hits(arc_stats['mutex_miss']))
616 prt_i1('Eviction skips:', f_hits(arc_stats['evict_skip']))
617 prt_i1('Eviction skips due to L2 writes:',
618 f_hits(arc_stats['evict_l2_skip']))
619 prt_i1('L2 cached evictions:', f_bytes(arc_stats['evict_l2_cached']))
620 prt_i1('L2 eligible evictions:', f_bytes(arc_stats['evict_l2_eligible']))
621 prt_i2('L2 eligible MFU evictions:',
622 f_perc(arc_stats['evict_l2_eligible_mfu'],
623 arc_stats['evict_l2_eligible']),
624 f_bytes(arc_stats['evict_l2_eligible_mfu']))
625 prt_i2('L2 eligible MRU evictions:',
626 f_perc(arc_stats['evict_l2_eligible_mru'],
627 arc_stats['evict_l2_eligible']),
628 f_bytes(arc_stats['evict_l2_eligible_mru']))
629 prt_i1('L2 ineligible evictions:',
630 f_bytes(arc_stats['evict_l2_ineligible']))
634 def section_archits(kstats_dict):
635 """Print information on how the caches are accessed ("arc hits").
638 arc_stats = isolate_section('arcstats', kstats_dict)
639 all_accesses = int(arc_stats['hits'])+int(arc_stats['iohits'])+\
640 int(arc_stats['misses'])
642 prt_1('ARC total accesses:', f_hits(all_accesses))
643 ta_todo = (('Total hits:', arc_stats['hits']),
644 ('Total I/O hits:', arc_stats['iohits']),
645 ('Total misses:', arc_stats['misses']))
646 for title, value in ta_todo:
647 prt_i2(title, f_perc(value, all_accesses), f_hits(value))
650 dd_total = int(arc_stats['demand_data_hits']) +\
651 int(arc_stats['demand_data_iohits']) +\
652 int(arc_stats['demand_data_misses'])
653 prt_2('ARC demand data accesses:', f_perc(dd_total, all_accesses),
655 dd_todo = (('Demand data hits:', arc_stats['demand_data_hits']),
656 ('Demand data I/O hits:', arc_stats['demand_data_iohits']),
657 ('Demand data misses:', arc_stats['demand_data_misses']))
658 for title, value in dd_todo:
659 prt_i2(title, f_perc(value, dd_total), f_hits(value))
662 dm_total = int(arc_stats['demand_metadata_hits']) +\
663 int(arc_stats['demand_metadata_iohits']) +\
664 int(arc_stats['demand_metadata_misses'])
665 prt_2('ARC demand metadata accesses:', f_perc(dm_total, all_accesses),
667 dm_todo = (('Demand metadata hits:', arc_stats['demand_metadata_hits']),
668 ('Demand metadata I/O hits:',
669 arc_stats['demand_metadata_iohits']),
670 ('Demand metadata misses:', arc_stats['demand_metadata_misses']))
671 for title, value in dm_todo:
672 prt_i2(title, f_perc(value, dm_total), f_hits(value))
675 pd_total = int(arc_stats['prefetch_data_hits']) +\
676 int(arc_stats['prefetch_data_iohits']) +\
677 int(arc_stats['prefetch_data_misses'])
678 prt_2('ARC prefetch metadata accesses:', f_perc(pd_total, all_accesses),
680 pd_todo = (('Prefetch data hits:', arc_stats['prefetch_data_hits']),
681 ('Prefetch data I/O hits:', arc_stats['prefetch_data_iohits']),
682 ('Prefetch data misses:', arc_stats['prefetch_data_misses']))
683 for title, value in pd_todo:
684 prt_i2(title, f_perc(value, pd_total), f_hits(value))
687 pm_total = int(arc_stats['prefetch_metadata_hits']) +\
688 int(arc_stats['prefetch_metadata_iohits']) +\
689 int(arc_stats['prefetch_metadata_misses'])
690 prt_2('ARC prefetch metadata accesses:', f_perc(pm_total, all_accesses),
692 pm_todo = (('Prefetch metadata hits:',
693 arc_stats['prefetch_metadata_hits']),
694 ('Prefetch metadata I/O hits:',
695 arc_stats['prefetch_metadata_iohits']),
696 ('Prefetch metadata misses:',
697 arc_stats['prefetch_metadata_misses']))
698 for title, value in pm_todo:
699 prt_i2(title, f_perc(value, pm_total), f_hits(value))
702 all_prefetches = int(arc_stats['predictive_prefetch'])+\
703 int(arc_stats['prescient_prefetch'])
704 prt_2('ARC predictive prefetches:',
705 f_perc(arc_stats['predictive_prefetch'], all_prefetches),
706 f_hits(arc_stats['predictive_prefetch']))
707 prt_i2('Demand hits after predictive:',
708 f_perc(arc_stats['demand_hit_predictive_prefetch'],
709 arc_stats['predictive_prefetch']),
710 f_hits(arc_stats['demand_hit_predictive_prefetch']))
711 prt_i2('Demand I/O hits after predictive:',
712 f_perc(arc_stats['demand_iohit_predictive_prefetch'],
713 arc_stats['predictive_prefetch']),
714 f_hits(arc_stats['demand_iohit_predictive_prefetch']))
715 never = int(arc_stats['predictive_prefetch']) -\
716 int(arc_stats['demand_hit_predictive_prefetch']) -\
717 int(arc_stats['demand_iohit_predictive_prefetch'])
718 prt_i2('Never demanded after predictive:',
719 f_perc(never, arc_stats['predictive_prefetch']),
723 prt_2('ARC prescient prefetches:',
724 f_perc(arc_stats['prescient_prefetch'], all_prefetches),
725 f_hits(arc_stats['prescient_prefetch']))
726 prt_i2('Demand hits after prescient:',
727 f_perc(arc_stats['demand_hit_prescient_prefetch'],
728 arc_stats['prescient_prefetch']),
729 f_hits(arc_stats['demand_hit_prescient_prefetch']))
730 prt_i2('Demand I/O hits after prescient:',
731 f_perc(arc_stats['demand_iohit_prescient_prefetch'],
732 arc_stats['prescient_prefetch']),
733 f_hits(arc_stats['demand_iohit_prescient_prefetch']))
734 never = int(arc_stats['prescient_prefetch'])-\
735 int(arc_stats['demand_hit_prescient_prefetch'])-\
736 int(arc_stats['demand_iohit_prescient_prefetch'])
737 prt_i2('Never demanded after prescient:',
738 f_perc(never, arc_stats['prescient_prefetch']),
742 print('ARC states hits of all accesses:')
743 cl_todo = (('Most frequently used (MFU):', arc_stats['mfu_hits']),
744 ('Most recently used (MRU):', arc_stats['mru_hits']),
745 ('Most frequently used (MFU) ghost:',
746 arc_stats['mfu_ghost_hits']),
747 ('Most recently used (MRU) ghost:',
748 arc_stats['mru_ghost_hits']),
749 ('Uncached:', arc_stats['uncached_hits']))
750 for title, value in cl_todo:
751 prt_i2(title, f_perc(value, all_accesses), f_hits(value))
755 def section_dmu(kstats_dict):
756 """Collect information on the DMU"""
758 zfetch_stats = isolate_section('zfetchstats', kstats_dict)
760 zfetch_access_total = int(zfetch_stats['hits'])+int(zfetch_stats['misses'])
762 prt_1('DMU predictive prefetcher calls:', f_hits(zfetch_access_total))
763 prt_i2('Stream hits:',
764 f_perc(zfetch_stats['hits'], zfetch_access_total),
765 f_hits(zfetch_stats['hits']))
766 prt_i2('Stream misses:',
767 f_perc(zfetch_stats['misses'], zfetch_access_total),
768 f_hits(zfetch_stats['misses']))
769 prt_i2('Streams limit reached:',
770 f_perc(zfetch_stats['max_streams'], zfetch_stats['misses']),
771 f_hits(zfetch_stats['max_streams']))
772 prt_i1('Prefetches issued', f_hits(zfetch_stats['io_issued']))
776 def section_l2arc(kstats_dict):
777 """Collect information on L2ARC device if present. If not, tell user
778 that we're skipping the section.
781 # The L2ARC statistics live in the same section as the normal ARC stuff
782 arc_stats = isolate_section('arcstats', kstats_dict)
784 if arc_stats['l2_size'] == '0':
785 print('L2ARC not detected, skipping section\n')
788 l2_errors = int(arc_stats['l2_writes_error']) +\
789 int(arc_stats['l2_cksum_bad']) +\
790 int(arc_stats['l2_io_error'])
792 l2_access_total = int(arc_stats['l2_hits'])+int(arc_stats['l2_misses'])
798 prt_1('L2ARC status:', health)
800 l2_todo = (('Low memory aborts:', 'l2_abort_lowmem'),
801 ('Free on write:', 'l2_free_on_write'),
802 ('R/W clashes:', 'l2_rw_clash'),
803 ('Bad checksums:', 'l2_cksum_bad'),
804 ('I/O errors:', 'l2_io_error'))
806 for title, value in l2_todo:
807 prt_i1(title, f_hits(arc_stats[value]))
810 prt_1('L2ARC size (adaptive):', f_bytes(arc_stats['l2_size']))
811 prt_i2('Compressed:', f_perc(arc_stats['l2_asize'], arc_stats['l2_size']),
812 f_bytes(arc_stats['l2_asize']))
813 prt_i2('Header size:',
814 f_perc(arc_stats['l2_hdr_size'], arc_stats['l2_size']),
815 f_bytes(arc_stats['l2_hdr_size']))
816 prt_i2('MFU allocated size:',
817 f_perc(arc_stats['l2_mfu_asize'], arc_stats['l2_asize']),
818 f_bytes(arc_stats['l2_mfu_asize']))
819 prt_i2('MRU allocated size:',
820 f_perc(arc_stats['l2_mru_asize'], arc_stats['l2_asize']),
821 f_bytes(arc_stats['l2_mru_asize']))
822 prt_i2('Prefetch allocated size:',
823 f_perc(arc_stats['l2_prefetch_asize'], arc_stats['l2_asize']),
824 f_bytes(arc_stats['l2_prefetch_asize']))
825 prt_i2('Data (buffer content) allocated size:',
826 f_perc(arc_stats['l2_bufc_data_asize'], arc_stats['l2_asize']),
827 f_bytes(arc_stats['l2_bufc_data_asize']))
828 prt_i2('Metadata (buffer content) allocated size:',
829 f_perc(arc_stats['l2_bufc_metadata_asize'], arc_stats['l2_asize']),
830 f_bytes(arc_stats['l2_bufc_metadata_asize']))
833 prt_1('L2ARC breakdown:', f_hits(l2_access_total))
835 f_perc(arc_stats['l2_hits'], l2_access_total),
836 f_hits(arc_stats['l2_hits']))
837 prt_i2('Miss ratio:',
838 f_perc(arc_stats['l2_misses'], l2_access_total),
839 f_hits(arc_stats['l2_misses']))
840 prt_i1('Feeds:', f_hits(arc_stats['l2_feeds']))
843 print('L2ARC writes:')
845 if arc_stats['l2_writes_done'] != arc_stats['l2_writes_sent']:
846 prt_i2('Writes sent:', 'FAULTED', f_hits(arc_stats['l2_writes_sent']))
847 prt_i2('Done ratio:',
848 f_perc(arc_stats['l2_writes_done'],
849 arc_stats['l2_writes_sent']),
850 f_hits(arc_stats['l2_writes_done']))
851 prt_i2('Error ratio:',
852 f_perc(arc_stats['l2_writes_error'],
853 arc_stats['l2_writes_sent']),
854 f_hits(arc_stats['l2_writes_error']))
856 prt_i2('Writes sent:', '100 %', f_hits(arc_stats['l2_writes_sent']))
859 print('L2ARC evicts:')
860 prt_i1('Lock retries:', f_hits(arc_stats['l2_evict_lock_retry']))
861 prt_i1('Upon reading:', f_hits(arc_stats['l2_evict_reading']))
866 """Print the SPL parameters, if requested with alternative format
867 and/or descriptions. This does not use kstats.
870 if sys.platform.startswith('freebsd'):
871 # No SPL support in FreeBSD
874 spls = get_spl_params()
875 keylist = sorted(spls.keys())
876 print('Solaris Porting Layer (SPL):')
879 descriptions = get_descriptions('spl')
886 print(INDENT+'#', descriptions[key])
888 print(INDENT+'# (No description found)') # paranoid
890 print(format_raw_line(key, value))
895 def section_tunables(*_):
896 """Print the tunables, if requested with alternative format and/or
897 descriptions. This does not use kstasts.
900 tunables = get_tunable_params()
901 keylist = sorted(tunables.keys())
905 descriptions = get_descriptions('zfs')
908 value = tunables[key]
912 print(INDENT+'#', descriptions[key])
914 print(INDENT+'# (No description found)') # paranoid
916 print(format_raw_line(key, value))
921 def section_vdev(kstats_dict):
922 """Collect information on VDEV caches"""
924 # Currently [Nov 2017] the VDEV cache is disabled, because it is actually
925 # harmful. When this is the case, we just skip the whole entry. See
926 # https://github.com/openzfs/zfs/blob/master/module/zfs/vdev_cache.c
928 tunables = get_vdev_params()
930 if tunables[VDEV_CACHE_SIZE] == '0':
931 print('VDEV cache disabled, skipping section\n')
934 vdev_stats = isolate_section('vdev_cache_stats', kstats_dict)
936 vdev_cache_total = int(vdev_stats['hits']) +\
937 int(vdev_stats['misses']) +\
938 int(vdev_stats['delegations'])
940 prt_1('VDEV cache summary:', f_hits(vdev_cache_total))
941 prt_i2('Hit ratio:', f_perc(vdev_stats['hits'], vdev_cache_total),
942 f_hits(vdev_stats['hits']))
943 prt_i2('Miss ratio:', f_perc(vdev_stats['misses'], vdev_cache_total),
944 f_hits(vdev_stats['misses']))
945 prt_i2('Delegations:', f_perc(vdev_stats['delegations'], vdev_cache_total),
946 f_hits(vdev_stats['delegations']))
950 def section_zil(kstats_dict):
951 """Collect information on the ZFS Intent Log. Some of the information
952 taken from https://github.com/openzfs/zfs/blob/master/include/sys/zil.h
955 zil_stats = isolate_section('zil', kstats_dict)
957 prt_1('ZIL committed transactions:',
958 f_hits(zil_stats['zil_itx_count']))
959 prt_i1('Commit requests:', f_hits(zil_stats['zil_commit_count']))
960 prt_i1('Flushes to stable storage:',
961 f_hits(zil_stats['zil_commit_writer_count']))
962 prt_i2('Transactions to SLOG storage pool:',
963 f_bytes(zil_stats['zil_itx_metaslab_slog_bytes']),
964 f_hits(zil_stats['zil_itx_metaslab_slog_count']))
965 prt_i2('Transactions to non-SLOG storage pool:',
966 f_bytes(zil_stats['zil_itx_metaslab_normal_bytes']),
967 f_hits(zil_stats['zil_itx_metaslab_normal_count']))
971 section_calls = {'arc': section_arc,
972 'archits': section_archits,
974 'l2arc': section_l2arc,
976 'tunables': section_tunables,
977 'vdev': section_vdev,
982 """Run program. The options to draw a graph and to print all data raw are
983 treated separately because they come with their own call.
986 kstats = get_kstats()
1000 section_calls[ARGS.section](kstats)
1002 print('Error: Section "{0}" unknown'.format(ARGS.section))
1006 print('WARNING: Pages are deprecated, please use "--section"\n')
1008 pages_to_calls = {1: 'arc',
1016 call = pages_to_calls[ARGS.page]
1018 print('Error: Page "{0}" not supported'.format(ARGS.page))
1021 section_calls[call](kstats)
1024 # If no parameters were given, we print all sections. We might want to
1025 # change the sequence by hand
1026 calls = sorted(section_calls.keys())
1028 for section in calls:
1029 section_calls[section](kstats)
1034 if __name__ == '__main__':