875 lines
29 KiB
Python
Executable file
875 lines
29 KiB
Python
Executable file
#!/usr/bin/env python3
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#
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# Copyright (c) 2008 Ben Rockwood <benr@cuddletech.com>,
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# Copyright (c) 2010 Martin Matuska <mm@FreeBSD.org>,
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# Copyright (c) 2010-2011 Jason J. Hellenthal <jhell@DataIX.net>,
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# Copyright (c) 2017 Scot W. Stevenson <scot.stevenson@gmail.com>
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions
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# are met:
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#
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# 1. Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# 2. Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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#
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# THIS SOFTWARE IS PROVIDED BY AUTHOR AND CONTRIBUTORS ``AS IS'' AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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# ARE DISCLAIMED. IN NO EVENT SHALL AUTHOR OR CONTRIBUTORS BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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# OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
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# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
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# OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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# SUCH DAMAGE.
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"""Print statistics on the ZFS ARC Cache and other information
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Provides basic information on the ARC, its efficiency, the L2ARC (if present),
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the Data Management Unit (DMU), Virtual Devices (VDEVs), and tunables. See
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the in-source documentation and code at
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https://github.com/zfsonlinux/zfs/blob/master/module/zfs/arc.c for details.
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The original introduction to arc_summary can be found at
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http://cuddletech.com/?p=454
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"""
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import argparse
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import os
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import subprocess
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import sys
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import time
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DESCRIPTION = 'Print ARC and other statistics for ZFS on Linux'
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INDENT = ' '*8
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LINE_LENGTH = 72
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PROC_PATH = '/proc/spl/kstat/zfs/'
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SPL_PATH = '/sys/module/spl/parameters/'
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TUNABLES_PATH = '/sys/module/zfs/parameters/'
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DATE_FORMAT = '%a %b %d %H:%M:%S %Y'
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TITLE = 'ZFS Subsystem Report'
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SECTIONS = 'arc archits dmu l2arc spl tunables vdev zil'.split()
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SECTION_HELP = 'print info from one section ('+' '.join(SECTIONS)+')'
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# Tunables and SPL are handled separately because they come from
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# different sources
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SECTION_PATHS = {'arc': 'arcstats',
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'dmu': 'dmu_tx',
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'l2arc': 'arcstats', # L2ARC stuff lives in arcstats
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'vdev': 'vdev_cache_stats',
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'xuio': 'xuio_stats',
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'zfetch': 'zfetchstats',
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'zil': 'zil'}
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parser = argparse.ArgumentParser(description=DESCRIPTION)
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parser.add_argument('-a', '--alternate', action='store_true', default=False,
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help='use alternate formatting for tunables and SPL',
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dest='alt')
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parser.add_argument('-d', '--description', action='store_true', default=False,
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help='print descriptions with tunables and SPL',
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dest='desc')
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parser.add_argument('-g', '--graph', action='store_true', default=False,
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help='print graph on ARC use and exit', dest='graph')
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parser.add_argument('-p', '--page', type=int, dest='page',
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help='print page by number (DEPRECATED, use "-s")')
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parser.add_argument('-r', '--raw', action='store_true', default=False,
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help='dump all available data with minimal formatting',
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dest='raw')
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parser.add_argument('-s', '--section', dest='section', help=SECTION_HELP)
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ARGS = parser.parse_args()
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def cleanup_line(single_line):
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"""Format a raw line of data from /proc and isolate the name value
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part, returning a tuple with each. Currently, this gets rid of the
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middle '4'. For example "arc_no_grow 4 0" returns the tuple
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("arc_no_grow", "0").
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"""
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name, _, value = single_line.split()
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return name, value
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def draw_graph(kstats_dict):
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"""Draw a primitive graph representing the basic information on the
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ARC -- its size and the proportion used by MFU and MRU -- and quit.
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We use max size of the ARC to calculate how full it is. This is a
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very rough representation.
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"""
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arc_stats = isolate_section('arcstats', kstats_dict)
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GRAPH_INDENT = ' '*4
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GRAPH_WIDTH = 60
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arc_size = f_bytes(arc_stats['size'])
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arc_perc = f_perc(arc_stats['size'], arc_stats['c_max'])
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mfu_size = f_bytes(arc_stats['mfu_size'])
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mru_size = f_bytes(arc_stats['mru_size'])
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meta_limit = f_bytes(arc_stats['arc_meta_limit'])
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meta_size = f_bytes(arc_stats['arc_meta_used'])
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dnode_limit = f_bytes(arc_stats['arc_dnode_limit'])
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dnode_size = f_bytes(arc_stats['dnode_size'])
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info_form = ('ARC: {0} ({1}) MFU: {2} MRU: {3} META: {4} ({5}) '
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'DNODE {6} ({7})')
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info_line = info_form.format(arc_size, arc_perc, mfu_size, mru_size,
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meta_size, meta_limit, dnode_size,
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dnode_limit)
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info_spc = ' '*int((GRAPH_WIDTH-len(info_line))/2)
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info_line = GRAPH_INDENT+info_spc+info_line
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graph_line = GRAPH_INDENT+'+'+('-'*(GRAPH_WIDTH-2))+'+'
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mfu_perc = float(int(arc_stats['mfu_size'])/int(arc_stats['c_max']))
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mru_perc = float(int(arc_stats['mru_size'])/int(arc_stats['c_max']))
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arc_perc = float(int(arc_stats['size'])/int(arc_stats['c_max']))
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total_ticks = float(arc_perc)*GRAPH_WIDTH
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mfu_ticks = mfu_perc*GRAPH_WIDTH
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mru_ticks = mru_perc*GRAPH_WIDTH
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other_ticks = total_ticks-(mfu_ticks+mru_ticks)
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core_form = 'F'*int(mfu_ticks)+'R'*int(mru_ticks)+'O'*int(other_ticks)
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core_spc = ' '*(GRAPH_WIDTH-(2+len(core_form)))
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core_line = GRAPH_INDENT+'|'+core_form+core_spc+'|'
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for line in ('', info_line, graph_line, core_line, graph_line, ''):
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print(line)
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def f_bytes(byte_string):
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"""Return human-readable representation of a byte value in
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powers of 2 (eg "KiB" for "kibibytes", etc) to two decimal
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points. Values smaller than one KiB are returned without
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decimal points. Note "bytes" is a reserved keyword.
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"""
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prefixes = ([2**80, "YiB"], # yobibytes (yotta)
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[2**70, "ZiB"], # zebibytes (zetta)
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[2**60, "EiB"], # exbibytes (exa)
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[2**50, "PiB"], # pebibytes (peta)
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[2**40, "TiB"], # tebibytes (tera)
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[2**30, "GiB"], # gibibytes (giga)
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[2**20, "MiB"], # mebibytes (mega)
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[2**10, "KiB"]) # kibibytes (kilo)
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bites = int(byte_string)
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if bites >= 2**10:
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for limit, unit in prefixes:
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if bites >= limit:
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value = bites / limit
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break
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result = '{0:.1f} {1}'.format(value, unit)
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else:
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result = '{0} Bytes'.format(bites)
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return result
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def f_hits(hits_string):
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"""Create a human-readable representation of the number of hits.
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The single-letter symbols used are SI to avoid the confusion caused
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by the different "short scale" and "long scale" representations in
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English, which use the same words for different values. See
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https://en.wikipedia.org/wiki/Names_of_large_numbers and:
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https://physics.nist.gov/cuu/Units/prefixes.html
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"""
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numbers = ([10**24, 'Y'], # yotta (septillion)
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[10**21, 'Z'], # zetta (sextillion)
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[10**18, 'E'], # exa (quintrillion)
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[10**15, 'P'], # peta (quadrillion)
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[10**12, 'T'], # tera (trillion)
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[10**9, 'G'], # giga (billion)
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[10**6, 'M'], # mega (million)
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[10**3, 'k']) # kilo (thousand)
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hits = int(hits_string)
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if hits >= 1000:
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for limit, symbol in numbers:
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if hits >= limit:
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value = hits/limit
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break
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result = "%0.1f%s" % (value, symbol)
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else:
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result = "%d" % hits
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return result
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def f_perc(value1, value2):
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"""Calculate percentage and return in human-readable form. If
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rounding produces the result '0.0' though the first number is
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not zero, include a 'less-than' symbol to avoid confusion.
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Division by zero is handled by returning 'n/a'; no error
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is called.
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"""
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v1 = float(value1)
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v2 = float(value2)
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try:
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perc = 100 * v1/v2
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except ZeroDivisionError:
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result = 'n/a'
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else:
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result = '{0:0.1f} %'.format(perc)
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if result == '0.0 %' and v1 > 0:
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result = '< 0.1 %'
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return result
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def format_raw_line(name, value):
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"""For the --raw option for the tunable and SPL outputs, decide on the
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correct formatting based on the --alternate flag.
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"""
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if ARGS.alt:
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result = '{0}{1}={2}'.format(INDENT, name, value)
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else:
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spc = LINE_LENGTH-(len(INDENT)+len(value))
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result = '{0}{1:<{spc}}{2}'.format(INDENT, name, value, spc=spc)
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return result
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def get_kstats():
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"""Collect information on the ZFS subsystem from the /proc Linux virtual
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file system. The step does not perform any further processing, giving us
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the option to only work on what is actually needed. The name "kstat" is a
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holdover from the Solaris utility of the same name.
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"""
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result = {}
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secs = SECTION_PATHS.values()
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for section in secs:
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with open(PROC_PATH+section, 'r') as proc_location:
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lines = [line for line in proc_location]
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del lines[0:2] # Get rid of header
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result[section] = lines
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return result
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def get_spl_tunables(PATH):
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"""Collect information on the Solaris Porting Layer (SPL) or the
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tunables, depending on the PATH given. Does not check if PATH is
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legal.
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"""
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result = {}
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parameters = os.listdir(PATH)
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for name in parameters:
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with open(PATH+name, 'r') as para_file:
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value = para_file.read()
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result[name] = value.strip()
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return result
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def get_descriptions(request):
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"""Get the descriptions of the Solaris Porting Layer (SPL) or the
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tunables, return with minimal formatting.
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"""
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if request not in ('spl', 'zfs'):
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print('ERROR: description of "{0}" requested)'.format(request))
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sys.exit(1)
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descs = {}
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target_prefix = 'parm:'
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# We would prefer to do this with /sys/modules -- see the discussion at
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# get_version() -- but there isn't a way to get the descriptions from
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# there, so we fall back on modinfo
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command = ["/sbin/modinfo", request, "-0"]
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# The recommended way to do this is with subprocess.run(). However,
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# some installed versions of Python are < 3.5, so we offer them
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# the option of doing it the old way (for now)
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info = ''
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try:
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if 'run' in dir(subprocess):
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info = subprocess.run(command, stdout=subprocess.PIPE,
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universal_newlines=True)
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raw_output = info.stdout.split('\0')
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else:
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info = subprocess.check_output(command, universal_newlines=True)
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raw_output = info.split('\0')
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except subprocess.CalledProcessError:
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print("Error: Descriptions not available (can't access kernel module)")
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sys.exit(1)
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for line in raw_output:
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if not line.startswith(target_prefix):
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continue
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line = line[len(target_prefix):].strip()
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name, raw_desc = line.split(':', 1)
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desc = raw_desc.rsplit('(', 1)[0]
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if desc == '':
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desc = '(No description found)'
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descs[name.strip()] = desc.strip()
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return descs
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def get_version(request):
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"""Get the version number of ZFS or SPL on this machine for header.
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Returns an error string, but does not raise an error, if we can't
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get the ZFS/SPL version via modinfo.
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"""
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if request not in ('spl', 'zfs'):
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error_msg = '(ERROR: "{0}" requested)'.format(request)
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return error_msg
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# The original arc_summary called /sbin/modinfo/{spl,zfs} to get
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# the version information. We switch to /sys/module/{spl,zfs}/version
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# to make sure we get what is really loaded in the kernel
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command = ["cat", "/sys/module/{0}/version".format(request)]
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req = request.upper()
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version = "(Can't get {0} version)".format(req)
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# The recommended way to do this is with subprocess.run(). However,
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# some installed versions of Python are < 3.5, so we offer them
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# the option of doing it the old way (for now)
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info = ''
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if 'run' in dir(subprocess):
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info = subprocess.run(command, stdout=subprocess.PIPE,
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universal_newlines=True)
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version = info.stdout.strip()
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else:
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info = subprocess.check_output(command, universal_newlines=True)
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version = info.strip()
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return version
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def print_header():
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"""Print the initial heading with date and time as well as info on the
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Linux and ZFS versions. This is not called for the graph.
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"""
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# datetime is now recommended over time but we keep the exact formatting
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# from the older version of arc_summary in case there are scripts
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# that expect it in this way
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daydate = time.strftime(DATE_FORMAT)
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spc_date = LINE_LENGTH-len(daydate)
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sys_version = os.uname()
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sys_msg = sys_version.sysname+' '+sys_version.release
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zfs = get_version('zfs')
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spc_zfs = LINE_LENGTH-len(zfs)
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machine_msg = 'Machine: '+sys_version.nodename+' ('+sys_version.machine+')'
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spl = get_version('spl')
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spc_spl = LINE_LENGTH-len(spl)
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print('\n'+('-'*LINE_LENGTH))
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print('{0:<{spc}}{1}'.format(TITLE, daydate, spc=spc_date))
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print('{0:<{spc}}{1}'.format(sys_msg, zfs, spc=spc_zfs))
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print('{0:<{spc}}{1}\n'.format(machine_msg, spl, spc=spc_spl))
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def print_raw(kstats_dict):
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"""Print all available data from the system in a minimally sorted format.
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This can be used as a source to be piped through 'grep'.
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"""
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sections = sorted(kstats_dict.keys())
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for section in sections:
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print('\n{0}:'.format(section.upper()))
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lines = sorted(kstats_dict[section])
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for line in lines:
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name, value = cleanup_line(line)
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print(format_raw_line(name, value))
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# Tunables and SPL must be handled separately because they come from a
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# different source and have descriptions the user might request
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print()
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section_spl()
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section_tunables()
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def isolate_section(section_name, kstats_dict):
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"""From the complete information on all sections, retrieve only those
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for one section.
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"""
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try:
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section_data = kstats_dict[section_name]
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except KeyError:
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print('ERROR: Data on {0} not available'.format(section_data))
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sys.exit(1)
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section_dict = dict(cleanup_line(l) for l in section_data)
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return section_dict
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# Formatted output helper functions
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def prt_1(text, value):
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"""Print text and one value, no indent"""
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spc = ' '*(LINE_LENGTH-(len(text)+len(value)))
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print('{0}{spc}{1}'.format(text, value, spc=spc))
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def prt_i1(text, value):
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"""Print text and one value, with indent"""
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spc = ' '*(LINE_LENGTH-(len(INDENT)+len(text)+len(value)))
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print(INDENT+'{0}{spc}{1}'.format(text, value, spc=spc))
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def prt_2(text, value1, value2):
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"""Print text and two values, no indent"""
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values = '{0:>9} {1:>9}'.format(value1, value2)
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spc = ' '*(LINE_LENGTH-(len(text)+len(values)+2))
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print('{0}{spc} {1}'.format(text, values, spc=spc))
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def prt_i2(text, value1, value2):
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"""Print text and two values, with indent"""
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values = '{0:>9} {1:>9}'.format(value1, value2)
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spc = ' '*(LINE_LENGTH-(len(INDENT)+len(text)+len(values)+2))
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print(INDENT+'{0}{spc} {1}'.format(text, values, spc=spc))
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# The section output concentrates on important parameters instead of
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# being exhaustive (that is what the --raw parameter is for)
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def section_arc(kstats_dict):
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"""Give basic information on the ARC, MRU and MFU. This is the first
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and most used section.
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"""
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arc_stats = isolate_section('arcstats', kstats_dict)
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throttle = arc_stats['memory_throttle_count']
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if throttle == '0':
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health = 'HEALTHY'
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else:
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health = 'THROTTLED'
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prt_1('ARC status:', health)
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prt_i1('Memory throttle count:', throttle)
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print()
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arc_size = arc_stats['size']
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arc_target_size = arc_stats['c']
|
|
arc_max = arc_stats['c_max']
|
|
arc_min = arc_stats['c_min']
|
|
mfu_size = arc_stats['mfu_size']
|
|
mru_size = arc_stats['mru_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(mfu_size)+int(mru_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_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']))
|
|
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['misses'])
|
|
actual_hits = int(arc_stats['mfu_hits'])+int(arc_stats['mru_hits'])
|
|
|
|
prt_1('ARC total accesses (hits + misses):', f_hits(all_accesses))
|
|
ta_todo = (('Cache hit ratio:', arc_stats['hits']),
|
|
('Cache miss ratio:', arc_stats['misses']),
|
|
('Actual hit ratio (MFU + MRU hits):', actual_hits))
|
|
|
|
for title, value in ta_todo:
|
|
prt_i2(title, f_perc(value, all_accesses), f_hits(value))
|
|
|
|
dd_total = int(arc_stats['demand_data_hits']) +\
|
|
int(arc_stats['demand_data_misses'])
|
|
prt_i2('Data demand efficiency:',
|
|
f_perc(arc_stats['demand_data_hits'], dd_total),
|
|
f_hits(dd_total))
|
|
|
|
dp_total = int(arc_stats['prefetch_data_hits']) +\
|
|
int(arc_stats['prefetch_data_misses'])
|
|
prt_i2('Data prefetch efficiency:',
|
|
f_perc(arc_stats['prefetch_data_hits'], dp_total),
|
|
f_hits(dp_total))
|
|
|
|
known_hits = int(arc_stats['mfu_hits']) +\
|
|
int(arc_stats['mru_hits']) +\
|
|
int(arc_stats['mfu_ghost_hits']) +\
|
|
int(arc_stats['mru_ghost_hits'])
|
|
|
|
anon_hits = int(arc_stats['hits'])-known_hits
|
|
|
|
print()
|
|
print('Cache hits by cache type:')
|
|
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']))
|
|
|
|
for title, value in cl_todo:
|
|
prt_i2(title, f_perc(value, arc_stats['hits']), f_hits(value))
|
|
|
|
# For some reason, anon_hits can turn negative, which is weird. Until we
|
|
# have figured out why this happens, we just hide the problem, following
|
|
# the behavior of the original arc_summary.
|
|
if anon_hits >= 0:
|
|
prt_i2('Anonymously used:',
|
|
f_perc(anon_hits, arc_stats['hits']), f_hits(anon_hits))
|
|
|
|
print()
|
|
print('Cache hits by data type:')
|
|
dt_todo = (('Demand data:', arc_stats['demand_data_hits']),
|
|
('Demand prefetch data:', arc_stats['prefetch_data_hits']),
|
|
('Demand metadata:', arc_stats['demand_metadata_hits']),
|
|
('Demand prefetch metadata:',
|
|
arc_stats['prefetch_metadata_hits']))
|
|
|
|
for title, value in dt_todo:
|
|
prt_i2(title, f_perc(value, arc_stats['hits']), f_hits(value))
|
|
|
|
print()
|
|
print('Cache misses by data type:')
|
|
dm_todo = (('Demand data:', arc_stats['demand_data_misses']),
|
|
('Demand prefetch data:',
|
|
arc_stats['prefetch_data_misses']),
|
|
('Demand metadata:', arc_stats['demand_metadata_misses']),
|
|
('Demand prefetch metadata:',
|
|
arc_stats['prefetch_metadata_misses']))
|
|
|
|
for title, value in dm_todo:
|
|
prt_i2(title, f_perc(value, arc_stats['misses']), 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 prefetch efficiency:', f_hits(zfetch_access_total))
|
|
prt_i2('Hit ratio:', f_perc(zfetch_stats['hits'], zfetch_access_total),
|
|
f_hits(zfetch_stats['hits']))
|
|
prt_i2('Miss ratio:', f_perc(zfetch_stats['misses'], zfetch_access_total),
|
|
f_hits(zfetch_stats['misses']))
|
|
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']))
|
|
|
|
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_bytes(arc_stats['l2_writes_done']))
|
|
prt_i2('Error ratio:',
|
|
f_perc(arc_stats['l2_writes_error'],
|
|
arc_stats['l2_writes_sent']),
|
|
f_bytes(arc_stats['l2_writes_error']))
|
|
else:
|
|
prt_i2('Writes sent:', '100 %', f_bytes(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.
|
|
"""
|
|
|
|
spls = get_spl_tunables(SPL_PATH)
|
|
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_spl_tunables(TUNABLES_PATH)
|
|
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/zfsonlinux/zfs/blob/master/module/zfs/vdev_cache.c
|
|
# for details
|
|
tunables = get_spl_tunables(TUNABLES_PATH)
|
|
|
|
if tunables['zfs_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/zfsonlinux/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()
|