FreeBSD/Linux Kernel Cross Reference
sys/contrib/openzfs/cmd/arc_summary

     #!/usr/bin/env python3
     #
     # 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>,
     # Copyright (c) 2017 Scot W. Stevenson <scot.stevenson@gmail.com>
     # 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.
    """Print statistics on the ZFS ARC Cache and other information
    
    Provides basic information on the ARC, its efficiency, the L2ARC (if present),
    the Data Management Unit (DMU), Virtual Devices (VDEVs), and tunables. See
    the in-source documentation and code at
    https://github.com/openzfs/zfs/blob/master/module/zfs/arc.c for details.
    The original introduction to arc_summary can be found at
    http://cuddletech.com/?p=454
    """
    
    import argparse
    import os
    import subprocess
    import sys
    import time
    import errno
    
    # We can't use env -S portably, and we need python3 -u to handle pipes in
    # the shell abruptly closing the way we want to, so...
    import io
    if isinstance(sys.__stderr__.buffer, io.BufferedWriter):
        os.execv(sys.executable, [sys.executable, "-u"] + sys.argv)
    
    DESCRIPTION = 'Print ARC and other statistics for OpenZFS'
    INDENT = ' '*8
    LINE_LENGTH = 72
    DATE_FORMAT = '%a %b %d %H:%M:%S %Y'
    TITLE = 'ZFS Subsystem Report'
    
    SECTIONS = 'arc archits dmu l2arc spl tunables vdev zil'.split()
    SECTION_HELP = 'print info from one section ('+' '.join(SECTIONS)+')'
    
    # Tunables and SPL are handled separately because they come from
    # different sources
    SECTION_PATHS = {'arc': 'arcstats',
                     'dmu': 'dmu_tx',
                     'l2arc': 'arcstats',  # L2ARC stuff lives in arcstats
                     'vdev': 'vdev_cache_stats',
                     'zfetch': 'zfetchstats',
                     'zil': 'zil'}
    
    parser = argparse.ArgumentParser(description=DESCRIPTION)
    parser.add_argument('-a', '--alternate', action='store_true', default=False,
                        help='use alternate formatting for tunables and SPL',
                        dest='alt')
    parser.add_argument('-d', '--description', action='store_true', default=False,
                        help='print descriptions with tunables and SPL',
                        dest='desc')
    parser.add_argument('-g', '--graph', action='store_true', default=False,
                        help='print graph on ARC use and exit', dest='graph')
    parser.add_argument('-p', '--page', type=int, dest='page',
                        help='print page by number (DEPRECATED, use "-s")')
    parser.add_argument('-r', '--raw', action='store_true', default=False,
                        help='dump all available data with minimal formatting',
                        dest='raw')
    parser.add_argument('-s', '--section', dest='section', help=SECTION_HELP)
    ARGS = parser.parse_args()
    
    
    if sys.platform.startswith('freebsd'):
        # Requires py36-sysctl on FreeBSD
        import sysctl
    
        VDEV_CACHE_SIZE = 'vdev.cache_size'
    
        def is_value(ctl):
            return ctl.type != sysctl.CTLTYPE_NODE
    
        def namefmt(ctl, base='vfs.zfs.'):
            # base is removed from the name
           cut = len(base)
           return ctl.name[cut:]
   
       def load_kstats(section):
           base = 'kstat.zfs.misc.{section}.'.format(section=section)
           fmt = lambda kstat: '{name} : {value}'.format(name=namefmt(kstat, base),
                                                         value=kstat.value)
           kstats = sysctl.filter(base)
           return [fmt(kstat) for kstat in kstats if is_value(kstat)]
   
       def get_params(base):
           ctls = sysctl.filter(base)
           return {namefmt(ctl): str(ctl.value) for ctl in ctls if is_value(ctl)}
   
       def get_tunable_params():
           return get_params('vfs.zfs')
   
       def get_vdev_params():
           return get_params('vfs.zfs.vdev')
   
       def get_version_impl(request):
           # FreeBSD reports versions for zpl and spa instead of zfs and spl.
           name = {'zfs': 'zpl',
                   'spl': 'spa'}[request]
           mib = 'vfs.zfs.version.{}'.format(name)
           version = sysctl.filter(mib)[0].value
           return '{} version {}'.format(name, version)
   
       def get_descriptions(_request):
           ctls = sysctl.filter('vfs.zfs')
           return {namefmt(ctl): ctl.description for ctl in ctls if is_value(ctl)}
   
   
   elif sys.platform.startswith('linux'):
       KSTAT_PATH = '/proc/spl/kstat/zfs'
       SPL_PATH = '/sys/module/spl/parameters'
       TUNABLES_PATH = '/sys/module/zfs/parameters'
   
       VDEV_CACHE_SIZE = 'zfs_vdev_cache_size'
   
       def load_kstats(section):
           path = os.path.join(KSTAT_PATH, section)
           with open(path) as f:
               return list(f)[2:] # Get rid of header
   
       def get_params(basepath):
           """Collect information on the Solaris Porting Layer (SPL) or the
           tunables, depending on the PATH given. Does not check if PATH is
           legal.
           """
           result = {}
           for name in os.listdir(basepath):
               path = os.path.join(basepath, name)
               with open(path) as f:
                   value = f.read()
                   result[name] = value.strip()
           return result
   
       def get_spl_params():
           return get_params(SPL_PATH)
   
       def get_tunable_params():
           return get_params(TUNABLES_PATH)
   
       def get_vdev_params():
           return get_params(TUNABLES_PATH)
   
       def get_version_impl(request):
           # The original arc_summary called /sbin/modinfo/{spl,zfs} to get
           # the version information. We switch to /sys/module/{spl,zfs}/version
           # to make sure we get what is really loaded in the kernel
           try:
               with open("/sys/module/{}/version".format(request)) as f:
                   return f.read().strip()
           except:
               return "(unknown)"
   
       def get_descriptions(request):
           """Get the descriptions of the Solaris Porting Layer (SPL) or the
           tunables, return with minimal formatting.
           """
   
           if request not in ('spl', 'zfs'):
               print('ERROR: description of "{0}" requested)'.format(request))
               sys.exit(1)
   
           descs = {}
           target_prefix = 'parm:'
   
           # We would prefer to do this with /sys/modules -- see the discussion at
           # get_version() -- but there isn't a way to get the descriptions from
           # there, so we fall back on modinfo
           command = ["/sbin/modinfo", request, "-0"]
   
           info = ''
   
           try:
   
               info = subprocess.run(command, stdout=subprocess.PIPE,
                                     check=True, universal_newlines=True)
               raw_output = info.stdout.split('\0')
   
           except subprocess.CalledProcessError:
               print("Error: Descriptions not available",
                     "(can't access kernel module)")
               sys.exit(1)
   
           for line in raw_output:
   
               if not line.startswith(target_prefix):
                   continue
   
               line = line[len(target_prefix):].strip()
               name, raw_desc = line.split(':', 1)
               desc = raw_desc.rsplit('(', 1)[0]
   
               if desc == '':
                   desc = '(No description found)'
   
               descs[name.strip()] = desc.strip()
   
           return descs
   
   def handle_unraisableException(exc_type, exc_value=None, exc_traceback=None,
                                  err_msg=None, object=None):
      handle_Exception(exc_type, object, exc_traceback)
   
   def handle_Exception(ex_cls, ex, tb):
       if ex_cls is KeyboardInterrupt:
           sys.exit()
   
       if ex_cls is BrokenPipeError:
           # It turns out that while sys.exit() triggers an exception
           # not handled message on Python 3.8+, os._exit() does not.
           os._exit(0)
   
       if ex_cls is OSError:
         if ex.errno == errno.ENOTCONN:
           sys.exit()
   
       raise ex
   
   if hasattr(sys,'unraisablehook'): # Python 3.8+
       sys.unraisablehook = handle_unraisableException
   sys.excepthook = handle_Exception
   
   
   def cleanup_line(single_line):
       """Format a raw line of data from /proc and isolate the name value
       part, returning a tuple with each. Currently, this gets rid of the
       middle '4'. For example "arc_no_grow    4    0" returns the tuple
       ("arc_no_grow", "0").
       """
       name, _, value = single_line.split()
   
       return name, value
   
   
   def draw_graph(kstats_dict):
       """Draw a primitive graph representing the basic information on the
       ARC -- its size and the proportion used by MFU and MRU -- and quit.
       We use max size of the ARC to calculate how full it is. This is a
       very rough representation.
       """
   
       arc_stats = isolate_section('arcstats', kstats_dict)
   
       GRAPH_INDENT = ' '*4
       GRAPH_WIDTH = 60
       arc_size = f_bytes(arc_stats['size'])
       arc_perc = f_perc(arc_stats['size'], arc_stats['c_max'])
       mfu_size = f_bytes(arc_stats['mfu_size'])
       mru_size = f_bytes(arc_stats['mru_size'])
       meta_limit = f_bytes(arc_stats['arc_meta_limit'])
       meta_size = f_bytes(arc_stats['arc_meta_used'])
       dnode_limit = f_bytes(arc_stats['arc_dnode_limit'])
       dnode_size = f_bytes(arc_stats['dnode_size'])
   
       info_form = ('ARC: {0} ({1})  MFU: {2}  MRU: {3}  META: {4} ({5}) '
                    'DNODE {6} ({7})')
       info_line = info_form.format(arc_size, arc_perc, mfu_size, mru_size,
                                    meta_size, meta_limit, dnode_size,
                                    dnode_limit)
       info_spc = ' '*int((GRAPH_WIDTH-len(info_line))/2)
       info_line = GRAPH_INDENT+info_spc+info_line
   
       graph_line = GRAPH_INDENT+'+'+('-'*(GRAPH_WIDTH-2))+'+'
   
       mfu_perc = float(int(arc_stats['mfu_size'])/int(arc_stats['c_max']))
       mru_perc = float(int(arc_stats['mru_size'])/int(arc_stats['c_max']))
       arc_perc = float(int(arc_stats['size'])/int(arc_stats['c_max']))
       total_ticks = float(arc_perc)*GRAPH_WIDTH
       mfu_ticks = mfu_perc*GRAPH_WIDTH
       mru_ticks = mru_perc*GRAPH_WIDTH
       other_ticks = total_ticks-(mfu_ticks+mru_ticks)
   
       core_form = 'F'*int(mfu_ticks)+'R'*int(mru_ticks)+'O'*int(other_ticks)
       core_spc = ' '*(GRAPH_WIDTH-(2+len(core_form)))
       core_line = GRAPH_INDENT+'|'+core_form+core_spc+'|'
   
       for line in ('', info_line, graph_line, core_line, graph_line, ''):
           print(line)
   
   
   def f_bytes(byte_string):
       """Return human-readable representation of a byte value in
       powers of 2 (eg "KiB" for "kibibytes", etc) to two decimal
       points. Values smaller than one KiB are returned without
       decimal points. Note "bytes" is a reserved keyword.
       """
   
       prefixes = ([2**80, "YiB"],   # yobibytes (yotta)
                   [2**70, "ZiB"],   # zebibytes (zetta)
                   [2**60, "EiB"],   # exbibytes (exa)
                   [2**50, "PiB"],   # pebibytes (peta)
                   [2**40, "TiB"],   # tebibytes (tera)
                   [2**30, "GiB"],   # gibibytes (giga)
                   [2**20, "MiB"],   # mebibytes (mega)
                   [2**10, "KiB"])   # kibibytes (kilo)
   
       bites = int(byte_string)
   
       if bites >= 2**10:
           for limit, unit in prefixes:
   
               if bites >= limit:
                   value = bites / limit
                   break
   
           result = '{0:.1f} {1}'.format(value, unit)
       else:
           result = '{0} Bytes'.format(bites)
   
       return result
   
   
   def f_hits(hits_string):
       """Create a human-readable representation of the number of hits.
       The single-letter symbols used are SI to avoid the confusion caused
       by the different "short scale" and "long scale" representations in
       English, which use the same words for different values. See
       https://en.wikipedia.org/wiki/Names_of_large_numbers and:
       https://physics.nist.gov/cuu/Units/prefixes.html
       """
   
       numbers = ([10**24, 'Y'],  # yotta (septillion)
                  [10**21, 'Z'],  # zetta (sextillion)
                  [10**18, 'E'],  # exa   (quintrillion)
                  [10**15, 'P'],  # peta  (quadrillion)
                  [10**12, 'T'],  # tera  (trillion)
                  [10**9, 'G'],   # giga  (billion)
                  [10**6, 'M'],   # mega  (million)
                  [10**3, 'k'])   # kilo  (thousand)
   
       hits = int(hits_string)
   
       if hits >= 1000:
           for limit, symbol in numbers:
   
               if hits >= limit:
                   value = hits/limit
                   break
   
           result = "%0.1f%s" % (value, symbol)
       else:
           result = "%d" % hits
   
       return result
   
   
   def f_perc(value1, value2):
       """Calculate percentage and return in human-readable form. If
       rounding produces the result '0.0' though the first number is
       not zero, include a 'less-than' symbol to avoid confusion.
       Division by zero is handled by returning 'n/a'; no error
       is called.
       """
   
       v1 = float(value1)
       v2 = float(value2)
   
       try:
           perc = 100 * v1/v2
       except ZeroDivisionError:
           result = 'n/a'
       else:
           result = '{0:0.1f} %'.format(perc)
   
       if result == '0.0 %' and v1 > 0:
           result = '< 0.1 %'
   
       return result
   
   
   def format_raw_line(name, value):
       """For the --raw option for the tunable and SPL outputs, decide on the
       correct formatting based on the --alternate flag.
       """
   
       if ARGS.alt:
           result = '{0}{1}={2}'.format(INDENT, name, value)
       else:
           # Right-align the value within the line length if it fits,
           # otherwise just separate it from the name by a single space.
           fit = LINE_LENGTH - len(INDENT) - len(name)
           overflow = len(value) + 1
           w = max(fit, overflow)
           result = '{0}{1}{2:>{w}}'.format(INDENT, name, value, w=w)
   
       return result
   
   
   def get_kstats():
       """Collect information on the ZFS subsystem. The step does not perform any
       further processing, giving us the option to only work on what is actually
       needed. The name "kstat" is a holdover from the Solaris utility of the same
       name.
       """
   
       result = {}
   
       for section in SECTION_PATHS.values():
           if section not in result:
               result[section] = load_kstats(section)
   
       return result
   
   
   def get_version(request):
       """Get the version number of ZFS or SPL on this machine for header.
       Returns an error string, but does not raise an error, if we can't
       get the ZFS/SPL version.
       """
   
       if request not in ('spl', 'zfs'):
           error_msg = '(ERROR: "{0}" requested)'.format(request)
           return error_msg
   
       return get_version_impl(request)
   
   
   def print_header():
       """Print the initial heading with date and time as well as info on the
       kernel and ZFS versions. This is not called for the graph.
       """
   
       # datetime is now recommended over time but we keep the exact formatting
       # from the older version of arc_summary in case there are scripts
       # that expect it in this way
       daydate = time.strftime(DATE_FORMAT)
       spc_date = LINE_LENGTH-len(daydate)
       sys_version = os.uname()
   
       sys_msg = sys_version.sysname+' '+sys_version.release
       zfs = get_version('zfs')
       spc_zfs = LINE_LENGTH-len(zfs)
   
       machine_msg = 'Machine: '+sys_version.nodename+' ('+sys_version.machine+')'
       spl = get_version('spl')
       spc_spl = LINE_LENGTH-len(spl)
   
       print('\n'+('-'*LINE_LENGTH))
       print('{0:<{spc}}{1}'.format(TITLE, daydate, spc=spc_date))
       print('{0:<{spc}}{1}'.format(sys_msg, zfs, spc=spc_zfs))
       print('{0:<{spc}}{1}\n'.format(machine_msg, spl, spc=spc_spl))
   
   
   def print_raw(kstats_dict):
       """Print all available data from the system in a minimally sorted format.
       This can be used as a source to be piped through 'grep'.
       """
   
       sections = sorted(kstats_dict.keys())
   
       for section in sections:
   
           print('\n{0}:'.format(section.upper()))
           lines = sorted(kstats_dict[section])
   
           for line in lines:
               name, value = cleanup_line(line)
               print(format_raw_line(name, value))
   
       # Tunables and SPL must be handled separately because they come from a
       # different source and have descriptions the user might request
       print()
       section_spl()
       section_tunables()
   
   
   def isolate_section(section_name, kstats_dict):
       """From the complete information on all sections, retrieve only those
       for one section.
       """
   
       try:
           section_data = kstats_dict[section_name]
       except KeyError:
           print('ERROR: Data on {0} not available'.format(section_data))
           sys.exit(1)
   
       section_dict = dict(cleanup_line(l) for l in section_data)
   
       return section_dict
   
   
   # Formatted output helper functions
   
   
   def prt_1(text, value):
       """Print text and one value, no indent"""
       spc = ' '*(LINE_LENGTH-(len(text)+len(value)))
       print('{0}{spc}{1}'.format(text, value, spc=spc))
   
   
   def prt_i1(text, value):
       """Print text and one value, with indent"""
       spc = ' '*(LINE_LENGTH-(len(INDENT)+len(text)+len(value)))
       print(INDENT+'{0}{spc}{1}'.format(text, value, spc=spc))
   
   
   def prt_2(text, value1, value2):
       """Print text and two values, no indent"""
       values = '{0:>9}  {1:>9}'.format(value1, value2)
       spc = ' '*(LINE_LENGTH-(len(text)+len(values)+2))
       print('{0}{spc}  {1}'.format(text, values, spc=spc))
   
   
   def prt_i2(text, value1, value2):
       """Print text and two values, with indent"""
       values = '{0:>9}  {1:>9}'.format(value1, value2)
       spc = ' '*(LINE_LENGTH-(len(INDENT)+len(text)+len(values)+2))
       print(INDENT+'{0}{spc}  {1}'.format(text, values, spc=spc))
   
   
   # The section output concentrates on important parameters instead of
   # being exhaustive (that is what the --raw parameter is for)
   
   
   def section_arc(kstats_dict):
       """Give basic information on the ARC, MRU and MFU. This is the first
       and most used section.
       """
   
       arc_stats = isolate_section('arcstats', kstats_dict)
   
       throttle = arc_stats['memory_throttle_count']
   
       if throttle == '0':
           health = 'HEALTHY'
       else:
           health = 'THROTTLED'
   
       prt_1('ARC status:', health)
       prt_i1('Memory throttle count:', throttle)
       print()
   
       arc_size = arc_stats['size']
       arc_target_size = arc_stats['c']
       arc_max = arc_stats['c_max']
       arc_min = arc_stats['c_min']
       anon_size = arc_stats['anon_size']
       mfu_size = arc_stats['mfu_size']
       mru_size = arc_stats['mru_size']
       mfug_size = arc_stats['mfu_ghost_size']
       mrug_size = arc_stats['mru_ghost_size']
       unc_size = arc_stats['uncached_size']
       meta_limit = arc_stats['arc_meta_limit']
       meta_size = arc_stats['arc_meta_used']
       dnode_limit = arc_stats['arc_dnode_limit']
       dnode_size = arc_stats['dnode_size']
       target_size_ratio = '{0}:1'.format(int(arc_max) // int(arc_min))
   
       prt_2('ARC size (current):',
             f_perc(arc_size, arc_max), f_bytes(arc_size))
       prt_i2('Target size (adaptive):',
              f_perc(arc_target_size, arc_max), f_bytes(arc_target_size))
       prt_i2('Min size (hard limit):',
              f_perc(arc_min, arc_max), f_bytes(arc_min))
       prt_i2('Max size (high water):',
              target_size_ratio, f_bytes(arc_max))
       caches_size = int(anon_size)+int(mfu_size)+int(mru_size)+int(unc_size)
       prt_i2('Anonymouns data size:',
              f_perc(anon_size, caches_size), f_bytes(anon_size))
       prt_i2('Most Frequently Used (MFU) cache size:',
              f_perc(mfu_size, caches_size), f_bytes(mfu_size))
       prt_i2('Most Recently Used (MRU) cache size:',
              f_perc(mru_size, caches_size), f_bytes(mru_size))
       prt_i1('Most Frequently Used (MFU) ghost size:', f_bytes(mfug_size))
       prt_i1('Most Recently Used (MRU) ghost size:', f_bytes(mrug_size))
       prt_i2('Uncached data size:',
              f_perc(unc_size, caches_size), f_bytes(unc_size))
       prt_i2('Metadata cache size (hard limit):',
              f_perc(meta_limit, arc_max), f_bytes(meta_limit))
       prt_i2('Metadata cache size (current):',
              f_perc(meta_size, meta_limit), f_bytes(meta_size))
       prt_i2('Dnode cache size (hard limit):',
              f_perc(dnode_limit, meta_limit), f_bytes(dnode_limit))
       prt_i2('Dnode cache size (current):',
              f_perc(dnode_size, dnode_limit), f_bytes(dnode_size))
       print()
   
       print('ARC hash breakdown:')
       prt_i1('Elements max:', f_hits(arc_stats['hash_elements_max']))
       prt_i2('Elements current:',
              f_perc(arc_stats['hash_elements'], arc_stats['hash_elements_max']),
              f_hits(arc_stats['hash_elements']))
       prt_i1('Collisions:', f_hits(arc_stats['hash_collisions']))
   
       prt_i1('Chain max:', f_hits(arc_stats['hash_chain_max']))
       prt_i1('Chains:', f_hits(arc_stats['hash_chains']))
       print()
   
       print('ARC misc:')
       prt_i1('Deleted:', f_hits(arc_stats['deleted']))
       prt_i1('Mutex misses:', f_hits(arc_stats['mutex_miss']))
       prt_i1('Eviction skips:', f_hits(arc_stats['evict_skip']))
       prt_i1('Eviction skips due to L2 writes:',
              f_hits(arc_stats['evict_l2_skip']))
       prt_i1('L2 cached evictions:', f_bytes(arc_stats['evict_l2_cached']))
       prt_i1('L2 eligible evictions:', f_bytes(arc_stats['evict_l2_eligible']))
       prt_i2('L2 eligible MFU evictions:',
              f_perc(arc_stats['evict_l2_eligible_mfu'],
              arc_stats['evict_l2_eligible']),
              f_bytes(arc_stats['evict_l2_eligible_mfu']))
       prt_i2('L2 eligible MRU evictions:',
              f_perc(arc_stats['evict_l2_eligible_mru'],
              arc_stats['evict_l2_eligible']),
              f_bytes(arc_stats['evict_l2_eligible_mru']))
       prt_i1('L2 ineligible evictions:',
              f_bytes(arc_stats['evict_l2_ineligible']))
       print()
   
   
   def section_archits(kstats_dict):
       """Print information on how the caches are accessed ("arc hits").
       """
   
       arc_stats = isolate_section('arcstats', kstats_dict)
       all_accesses = int(arc_stats['hits'])+int(arc_stats['iohits'])+\
           int(arc_stats['misses'])
   
       prt_1('ARC total accesses:', f_hits(all_accesses))
       ta_todo = (('Total hits:', arc_stats['hits']),
                  ('Total I/O hits:', arc_stats['iohits']),
                  ('Total misses:', arc_stats['misses']))
       for title, value in ta_todo:
           prt_i2(title, f_perc(value, all_accesses), f_hits(value))
       print()
   
       dd_total = int(arc_stats['demand_data_hits']) +\
           int(arc_stats['demand_data_iohits']) +\
           int(arc_stats['demand_data_misses'])
       prt_2('ARC demand data accesses:', f_perc(dd_total, all_accesses),
            f_hits(dd_total))
       dd_todo = (('Demand data hits:', arc_stats['demand_data_hits']),
                  ('Demand data I/O hits:', arc_stats['demand_data_iohits']),
                  ('Demand data misses:', arc_stats['demand_data_misses']))
       for title, value in dd_todo:
           prt_i2(title, f_perc(value, dd_total), f_hits(value))
       print()
   
       dm_total = int(arc_stats['demand_metadata_hits']) +\
           int(arc_stats['demand_metadata_iohits']) +\
           int(arc_stats['demand_metadata_misses'])
       prt_2('ARC demand metadata accesses:', f_perc(dm_total, all_accesses),
             f_hits(dm_total))
       dm_todo = (('Demand metadata hits:', arc_stats['demand_metadata_hits']),
                  ('Demand metadata I/O hits:',
                   arc_stats['demand_metadata_iohits']),
                  ('Demand metadata misses:', arc_stats['demand_metadata_misses']))
       for title, value in dm_todo:
           prt_i2(title, f_perc(value, dm_total), f_hits(value))
       print()
   
       pd_total = int(arc_stats['prefetch_data_hits']) +\
           int(arc_stats['prefetch_data_iohits']) +\
           int(arc_stats['prefetch_data_misses'])
       prt_2('ARC prefetch metadata accesses:', f_perc(pd_total, all_accesses),
             f_hits(pd_total))
       pd_todo = (('Prefetch data hits:', arc_stats['prefetch_data_hits']),
                  ('Prefetch data I/O hits:', arc_stats['prefetch_data_iohits']),
                  ('Prefetch data misses:', arc_stats['prefetch_data_misses']))
       for title, value in pd_todo:
           prt_i2(title, f_perc(value, pd_total), f_hits(value))
       print()
   
       pm_total = int(arc_stats['prefetch_metadata_hits']) +\
           int(arc_stats['prefetch_metadata_iohits']) +\
           int(arc_stats['prefetch_metadata_misses'])
       prt_2('ARC prefetch metadata accesses:', f_perc(pm_total, all_accesses),
             f_hits(pm_total))
       pm_todo = (('Prefetch metadata hits:',
                   arc_stats['prefetch_metadata_hits']),
                  ('Prefetch metadata I/O hits:',
                   arc_stats['prefetch_metadata_iohits']),
                  ('Prefetch metadata misses:',
                   arc_stats['prefetch_metadata_misses']))
       for title, value in pm_todo:
           prt_i2(title, f_perc(value, pm_total), f_hits(value))
       print()
   
       all_prefetches = int(arc_stats['predictive_prefetch'])+\
           int(arc_stats['prescient_prefetch'])
       prt_2('ARC predictive prefetches:',
              f_perc(arc_stats['predictive_prefetch'], all_prefetches),
              f_hits(arc_stats['predictive_prefetch']))
       prt_i2('Demand hits after predictive:',
              f_perc(arc_stats['demand_hit_predictive_prefetch'],
                     arc_stats['predictive_prefetch']),
              f_hits(arc_stats['demand_hit_predictive_prefetch']))
       prt_i2('Demand I/O hits after predictive:',
              f_perc(arc_stats['demand_iohit_predictive_prefetch'],
                     arc_stats['predictive_prefetch']),
              f_hits(arc_stats['demand_iohit_predictive_prefetch']))
       never = int(arc_stats['predictive_prefetch']) -\
           int(arc_stats['demand_hit_predictive_prefetch']) -\
           int(arc_stats['demand_iohit_predictive_prefetch'])
       prt_i2('Never demanded after predictive:',
              f_perc(never, arc_stats['predictive_prefetch']),
              f_hits(never))
       print()
   
       prt_2('ARC prescient prefetches:',
              f_perc(arc_stats['prescient_prefetch'], all_prefetches),
              f_hits(arc_stats['prescient_prefetch']))
       prt_i2('Demand hits after prescient:',
              f_perc(arc_stats['demand_hit_prescient_prefetch'],
                     arc_stats['prescient_prefetch']),
              f_hits(arc_stats['demand_hit_prescient_prefetch']))
       prt_i2('Demand I/O hits after prescient:',
              f_perc(arc_stats['demand_iohit_prescient_prefetch'],
                     arc_stats['prescient_prefetch']),
              f_hits(arc_stats['demand_iohit_prescient_prefetch']))
       never = int(arc_stats['prescient_prefetch'])-\
           int(arc_stats['demand_hit_prescient_prefetch'])-\
           int(arc_stats['demand_iohit_prescient_prefetch'])
       prt_i2('Never demanded after prescient:',
              f_perc(never, arc_stats['prescient_prefetch']),
              f_hits(never))
       print()
   
       print('ARC states hits of all accesses:')
       cl_todo = (('Most frequently used (MFU):', arc_stats['mfu_hits']),
                  ('Most recently used (MRU):', arc_stats['mru_hits']),
                  ('Most frequently used (MFU) ghost:',
                   arc_stats['mfu_ghost_hits']),
                  ('Most recently used (MRU) ghost:',
                   arc_stats['mru_ghost_hits']),
                  ('Uncached:', arc_stats['uncached_hits']))
       for title, value in cl_todo:
           prt_i2(title, f_perc(value, all_accesses), f_hits(value))
       print()
   
   
   def section_dmu(kstats_dict):
       """Collect information on the DMU"""
   
       zfetch_stats = isolate_section('zfetchstats', kstats_dict)
   
       zfetch_access_total = int(zfetch_stats['hits'])+int(zfetch_stats['misses'])
   
       prt_1('DMU predictive prefetcher calls:', f_hits(zfetch_access_total))
       prt_i2('Stream hits:',
              f_perc(zfetch_stats['hits'], zfetch_access_total),
              f_hits(zfetch_stats['hits']))
       prt_i2('Stream misses:',
              f_perc(zfetch_stats['misses'], zfetch_access_total),
              f_hits(zfetch_stats['misses']))
       prt_i2('Streams limit reached:',
              f_perc(zfetch_stats['max_streams'], zfetch_stats['misses']),
              f_hits(zfetch_stats['max_streams']))
       prt_i1('Prefetches issued', f_hits(zfetch_stats['io_issued']))
       print()
   
   
   def section_l2arc(kstats_dict):
       """Collect information on L2ARC device if present. If not, tell user
       that we're skipping the section.
       """
   
       # The L2ARC statistics live in the same section as the normal ARC stuff
       arc_stats = isolate_section('arcstats', kstats_dict)
   
       if arc_stats['l2_size'] == '0':
           print('L2ARC not detected, skipping section\n')
           return
   
       l2_errors = int(arc_stats['l2_writes_error']) +\
           int(arc_stats['l2_cksum_bad']) +\
           int(arc_stats['l2_io_error'])
   
       l2_access_total = int(arc_stats['l2_hits'])+int(arc_stats['l2_misses'])
       health = 'HEALTHY'
   
       if l2_errors > 0:
           health = 'DEGRADED'
   
       prt_1('L2ARC status:', health)
   
       l2_todo = (('Low memory aborts:', 'l2_abort_lowmem'),
                  ('Free on write:', 'l2_free_on_write'),
                  ('R/W clashes:', 'l2_rw_clash'),
                  ('Bad checksums:', 'l2_cksum_bad'),
                  ('I/O errors:', 'l2_io_error'))
   
       for title, value in l2_todo:
           prt_i1(title, f_hits(arc_stats[value]))
   
       print()
       prt_1('L2ARC size (adaptive):', f_bytes(arc_stats['l2_size']))
       prt_i2('Compressed:', f_perc(arc_stats['l2_asize'], arc_stats['l2_size']),
              f_bytes(arc_stats['l2_asize']))
       prt_i2('Header size:',
              f_perc(arc_stats['l2_hdr_size'], arc_stats['l2_size']),
              f_bytes(arc_stats['l2_hdr_size']))
       prt_i2('MFU allocated size:',
              f_perc(arc_stats['l2_mfu_asize'], arc_stats['l2_asize']),
              f_bytes(arc_stats['l2_mfu_asize']))
       prt_i2('MRU allocated size:',
              f_perc(arc_stats['l2_mru_asize'], arc_stats['l2_asize']),
              f_bytes(arc_stats['l2_mru_asize']))
       prt_i2('Prefetch allocated size:',
              f_perc(arc_stats['l2_prefetch_asize'], arc_stats['l2_asize']),
              f_bytes(arc_stats['l2_prefetch_asize']))
       prt_i2('Data (buffer content) allocated size:',
              f_perc(arc_stats['l2_bufc_data_asize'], arc_stats['l2_asize']),
              f_bytes(arc_stats['l2_bufc_data_asize']))
       prt_i2('Metadata (buffer content) allocated size:',
              f_perc(arc_stats['l2_bufc_metadata_asize'], arc_stats['l2_asize']),
              f_bytes(arc_stats['l2_bufc_metadata_asize']))
   
       print()
       prt_1('L2ARC breakdown:', f_hits(l2_access_total))
       prt_i2('Hit ratio:',
              f_perc(arc_stats['l2_hits'], l2_access_total),
              f_hits(arc_stats['l2_hits']))
       prt_i2('Miss ratio:',
              f_perc(arc_stats['l2_misses'], l2_access_total),
              f_hits(arc_stats['l2_misses']))
       prt_i1('Feeds:', f_hits(arc_stats['l2_feeds']))
   
       print()
       print('L2ARC writes:')
   
       if arc_stats['l2_writes_done'] != arc_stats['l2_writes_sent']:
           prt_i2('Writes sent:', 'FAULTED', f_hits(arc_stats['l2_writes_sent']))
           prt_i2('Done ratio:',
                  f_perc(arc_stats['l2_writes_done'],
                         arc_stats['l2_writes_sent']),
                  f_hits(arc_stats['l2_writes_done']))
           prt_i2('Error ratio:',
                  f_perc(arc_stats['l2_writes_error'],
                         arc_stats['l2_writes_sent']),
                  f_hits(arc_stats['l2_writes_error']))
       else:
           prt_i2('Writes sent:', '100 %', f_hits(arc_stats['l2_writes_sent']))
   
       print()
       print('L2ARC evicts:')
       prt_i1('Lock retries:', f_hits(arc_stats['l2_evict_lock_retry']))
       prt_i1('Upon reading:', f_hits(arc_stats['l2_evict_reading']))
       print()
   
   
   def section_spl(*_):
       """Print the SPL parameters, if requested with alternative format
       and/or descriptions. This does not use kstats.
       """
   
       if sys.platform.startswith('freebsd'):
           # No SPL support in FreeBSD
           return
   
       spls = get_spl_params()
       keylist = sorted(spls.keys())
       print('Solaris Porting Layer (SPL):')
   
       if ARGS.desc:
           descriptions = get_descriptions('spl')
   
       for key in keylist:
           value = spls[key]
   
           if ARGS.desc:
               try:
                   print(INDENT+'#', descriptions[key])
               except KeyError:
                   print(INDENT+'# (No description found)')  # paranoid
   
           print(format_raw_line(key, value))
   
       print()
   
   
   def section_tunables(*_):
       """Print the tunables, if requested with alternative format and/or
       descriptions. This does not use kstasts.
       """
   
       tunables = get_tunable_params()
       keylist = sorted(tunables.keys())
       print('Tunables:')
   
       if ARGS.desc:
           descriptions = get_descriptions('zfs')
   
       for key in keylist:
           value = tunables[key]
   
           if ARGS.desc:
               try:
                   print(INDENT+'#', descriptions[key])
               except KeyError:
                   print(INDENT+'# (No description found)')  # paranoid
   
           print(format_raw_line(key, value))
   
       print()
   
   
   def section_vdev(kstats_dict):
       """Collect information on VDEV caches"""
   
       # Currently [Nov 2017] the VDEV cache is disabled, because it is actually
       # harmful. When this is the case, we just skip the whole entry. See
       # https://github.com/openzfs/zfs/blob/master/module/zfs/vdev_cache.c
       # for details
       tunables = get_vdev_params()
   
       if tunables[VDEV_CACHE_SIZE] == '0':
           print('VDEV cache disabled, skipping section\n')
           return
   
       vdev_stats = isolate_section('vdev_cache_stats', kstats_dict)
   
       vdev_cache_total = int(vdev_stats['hits']) +\
           int(vdev_stats['misses']) +\
           int(vdev_stats['delegations'])
   
       prt_1('VDEV cache summary:', f_hits(vdev_cache_total))
       prt_i2('Hit ratio:', f_perc(vdev_stats['hits'], vdev_cache_total),
              f_hits(vdev_stats['hits']))
       prt_i2('Miss ratio:', f_perc(vdev_stats['misses'], vdev_cache_total),
              f_hits(vdev_stats['misses']))
       prt_i2('Delegations:', f_perc(vdev_stats['delegations'], vdev_cache_total),
              f_hits(vdev_stats['delegations']))
       print()
   
   
   def section_zil(kstats_dict):
       """Collect information on the ZFS Intent Log. Some of the information
       taken from https://github.com/openzfs/zfs/blob/master/include/sys/zil.h
       """
   
       zil_stats = isolate_section('zil', kstats_dict)
   
       prt_1('ZIL committed transactions:',
             f_hits(zil_stats['zil_itx_count']))
       prt_i1('Commit requests:', f_hits(zil_stats['zil_commit_count']))
       prt_i1('Flushes to stable storage:',
              f_hits(zil_stats['zil_commit_writer_count']))
       prt_i2('Transactions to SLOG storage pool:',
              f_bytes(zil_stats['zil_itx_metaslab_slog_bytes']),
              f_hits(zil_stats['zil_itx_metaslab_slog_count']))
       prt_i2('Transactions to non-SLOG storage pool:',
              f_bytes(zil_stats['zil_itx_metaslab_normal_bytes']),
              f_hits(zil_stats['zil_itx_metaslab_normal_count']))
       print()
   
   
   section_calls = {'arc': section_arc,
                    'archits': section_archits,
                    'dmu': section_dmu,
                    'l2arc': section_l2arc,
                    'spl': section_spl,
                    'tunables': section_tunables,
                    'vdev': section_vdev,
                    'zil': section_zil}
   
   
   def main():
       """Run program. The options to draw a graph and to print all data raw are
       treated separately because they come with their own call.
       """
   
       kstats = get_kstats()
   
       if ARGS.graph:
           draw_graph(kstats)
           sys.exit(0)
   
       print_header()
   
       if ARGS.raw:
           print_raw(kstats)
   
       elif ARGS.section:
   
           try:
              section_calls[ARGS.section](kstats)
          except KeyError:
              print('Error: Section "{0}" unknown'.format(ARGS.section))
              sys.exit(1)
  
      elif ARGS.page:
          print('WARNING: Pages are deprecated, please use "--section"\n')
  
          pages_to_calls = {1: 'arc',
                            2: 'archits',
                            3: 'l2arc',
                            4: 'dmu',
                            5: 'vdev',
                            6: 'tunables'}
  
          try:
              call = pages_to_calls[ARGS.page]
          except KeyError:
              print('Error: Page "{0}" not supported'.format(ARGS.page))
              sys.exit(1)
          else:
              section_calls[call](kstats)
  
      else:
          # If no parameters were given, we print all sections. We might want to
          # change the sequence by hand
          calls = sorted(section_calls.keys())
  
          for section in calls:
              section_calls[section](kstats)
  
      sys.exit(0)
  
  
  if __name__ == '__main__':
      main()

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