LegacyTechops/slack/prod/tsys-base/files/usr/local/librenms/zfs

267 lines
9.8 KiB
Perl
Executable File

#!/usr/bin/env perl
=head1 DESCRIPTION
This is a SNMP extend for ZFS and FreeBSD for use with LibreNMS.
For more information, see L<https://docs.librenms.org/#Extensions/Applications/#zfs>.
=head1 SWITCHES
=head2 -p
Pretty print the JSON.
=head1 SNMPD SETUP EXAMPLES
extend zfs /etc/snmp/zfs-freebsd
=cut
#Copyright (c) 2017, Zane C. Bowers-Hadley
#All rights reserved.
#
#Redistribution and use in source and binary forms, with or without modification,
#are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# * 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 THE COPYRIGHT HOLDERS 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 THE COPYRIGHT OWNER 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.
# Many thanks to Ben Rockwood, Jason J. Hellenthal, and Martin Matuska
# for zfs-stats and figuring out the math for all the stats
use strict;
use warnings;
use JSON;
use Getopt::Std;
$Getopt::Std::STANDARD_HELP_VERSION = 1;
sub main::VERSION_MESSAGE {
print "FreeBSD ZFS stats extend 0.0.0\n";
}
sub main::HELP_MESSAGE {
}
#this will be dumped to json at the end
my %tojson;
#gets the options
my %opts=();
getopts('p', \%opts);
my $sysctls;
my @to_pull=(
'kstat.zfs',
'vfs.zfs',
);
my @sysctls_pull = `/sbin/sysctl -q @to_pull`;
foreach my $stat (@sysctls_pull) {
chomp( $stat );
my ( $var, $val ) = split(/:/, $stat, 2);
$val =~ s/^ //;
$sysctls->{$var}=$val;
}
# does not seem to exist for me, but some of these don't seem to be created till needed
if ( ! defined( $sysctls->{"kstat.zfs.misc.arcstats.recycle_miss"} ) ) {
$sysctls->{"kstat.zfs.misc.arcstats.recycle_miss"}=0;
}
##
## ARC misc
##
$tojson{deleted}=$sysctls->{"kstat.zfs.misc.arcstats.deleted"};
$tojson{evict_skip}=$sysctls->{"kstat.zfs.misc.arcstats.evict_skip"};
$tojson{mutex_skip}=$sysctls->{'kstat.zfs.misc.arcstats.mutex_miss'};
$tojson{recycle_miss}=$sysctls->{"kstat.zfs.misc.arcstats.recycle_miss"};
##
## ARC size
##
my $target_size_percent = $sysctls->{"kstat.zfs.misc.arcstats.c"} / $sysctls->{"kstat.zfs.misc.arcstats.c_max"} * 100;
my $arc_size_percent = $sysctls->{"kstat.zfs.misc.arcstats.size"} / $sysctls->{"kstat.zfs.misc.arcstats.c_max"} * 100;
my $target_size_adaptive_ratio = $sysctls->{"kstat.zfs.misc.arcstats.c"} / $sysctls->{"kstat.zfs.misc.arcstats.c_max"};
my $min_size_percent = $sysctls->{"kstat.zfs.misc.arcstats.c_min"} / $sysctls->{"kstat.zfs.misc.arcstats.c_max"} * 100;
$tojson{arc_size}=$sysctls->{"kstat.zfs.misc.arcstats.size"};
$tojson{target_size_max}=$sysctls->{"kstat.zfs.misc.arcstats.c_max"};
$tojson{target_size_min}=$sysctls->{"kstat.zfs.misc.arcstats.c_min"};
$tojson{target_size}=$sysctls->{"kstat.zfs.misc.arcstats.c"};
$tojson{target_size_per}=$target_size_percent;
$tojson{arc_size_per}=$arc_size_percent;
$tojson{target_size_arat}=$target_size_adaptive_ratio;
$tojson{min_size_per}=$min_size_percent;
##
## ARC size breakdown
##
my $mfu_size;
my $recently_used_percent;
my $frequently_used_percent;
if ( $sysctls->{"kstat.zfs.misc.arcstats.size"} >= $sysctls->{"kstat.zfs.misc.arcstats.c"} ){
$mfu_size = $sysctls->{"kstat.zfs.misc.arcstats.size"} - $sysctls->{"kstat.zfs.misc.arcstats.p"};
$recently_used_percent = $sysctls->{"kstat.zfs.misc.arcstats.p"} / $sysctls->{"kstat.zfs.misc.arcstats.size"} * 100;
$frequently_used_percent = $mfu_size / $sysctls->{"kstat.zfs.misc.arcstats.size"} * 100;
}else{
$mfu_size = $sysctls->{"kstat.zfs.misc.arcstats.c"} - $sysctls->{"kstat.zfs.misc.arcstats.p"};
$recently_used_percent = $sysctls->{"kstat.zfs.misc.arcstats.p"} / $sysctls->{"kstat.zfs.misc.arcstats.c"} * 100;
$frequently_used_percent = $mfu_size / $sysctls->{"kstat.zfs.misc.arcstats.c"} * 100;
}
$tojson{mfu_size}=$mfu_size;
$tojson{p}=$sysctls->{"kstat.zfs.misc.arcstats.p"};
$tojson{rec_used_per}=$recently_used_percent;
$tojson{freq_used_per}=$frequently_used_percent;
##
## ARC efficiency
##
my $arc_hits = $sysctls->{"kstat.zfs.misc.arcstats.hits"};
my $arc_misses = $sysctls->{"kstat.zfs.misc.arcstats.misses"};
my $demand_data_hits = $sysctls->{"kstat.zfs.misc.arcstats.demand_data_hits"};
my $demand_data_misses = $sysctls->{"kstat.zfs.misc.arcstats.demand_data_misses"};
my $demand_metadata_hits = $sysctls->{"kstat.zfs.misc.arcstats.demand_metadata_hits"};
my $demand_metadata_misses = $sysctls->{"kstat.zfs.misc.arcstats.demand_metadata_misses"};
my $mfu_ghost_hits = $sysctls->{"kstat.zfs.misc.arcstats.mfu_ghost_hits"};
my $mfu_hits = $sysctls->{"kstat.zfs.misc.arcstats.mfu_hits"};
my $mru_ghost_hits = $sysctls->{"kstat.zfs.misc.arcstats.mru_ghost_hits"};
my $mru_hits = $sysctls->{"kstat.zfs.misc.arcstats.mru_hits"};
my $prefetch_data_hits = $sysctls->{"kstat.zfs.misc.arcstats.prefetch_data_hits"};
my $prefetch_data_misses = $sysctls->{"kstat.zfs.misc.arcstats.prefetch_data_misses"};
my $prefetch_metadata_hits = $sysctls->{"kstat.zfs.misc.arcstats.prefetch_metadata_hits"};
my $prefetch_metadata_misses = $sysctls->{"kstat.zfs.misc.arcstats.prefetch_metadata_misses"};
my $anon_hits = $arc_hits - ($mfu_hits + $mru_hits + $mfu_ghost_hits + $mru_ghost_hits);
my $arc_accesses_total = $arc_hits + $arc_misses;
my $demand_data_total = $demand_data_hits + $demand_data_misses;
my $prefetch_data_total = $prefetch_data_hits + $prefetch_data_misses;
my $real_hits = $mfu_hits + $mru_hits;
my $cache_hit_percent = $arc_hits / $arc_accesses_total * 100;
my $cache_miss_percent = $arc_misses / $arc_accesses_total * 100;
my $actual_hit_percent = $real_hits / $arc_accesses_total * 100;
my $data_demand_percent = $demand_data_hits / $demand_data_total * 100;
my $data_prefetch_percent;
if ( $prefetch_data_total != 0 ) {
$data_prefetch_percent = $prefetch_data_hits / $prefetch_data_total * 100;
}else{
$data_prefetch_percent = 0;
}
my $anon_hits_percent;
if ( $anon_hits != 0 ) {
$anon_hits_percent = $anon_hits / $arc_hits * 100;
}else{
$anon_hits_percent=0;
}
my $mru_percent = $mru_hits / $arc_hits * 100;
my $mfu_percent = $mfu_hits / $arc_hits * 100;
my $mru_ghost_percent = $mru_ghost_hits / $arc_hits * 100;
my $mfu_ghost_percent = $mfu_ghost_hits / $arc_hits * 100;
my $demand_hits_percent = $demand_data_hits / $arc_hits * 100;
my $prefetch_hits_percent = $prefetch_data_hits / $arc_hits * 100;
my $metadata_hits_percent = $demand_metadata_hits / $arc_hits * 100;
my $prefetch_metadata_hits_percent = $prefetch_metadata_hits / $arc_hits * 100;
my $demand_misses_percent = $demand_data_misses / $arc_misses * 100;
my $prefetch_misses_percent = $prefetch_data_misses / $arc_misses * 100;
my $metadata_misses_percent = $demand_metadata_misses / $arc_misses * 100;
my $prefetch_metadata_misses_percent = $prefetch_metadata_misses / $arc_misses * 100;
# ARC misc. efficient stats
$tojson{arc_hits}=$arc_hits;
$tojson{arc_misses}=$arc_misses;
$tojson{demand_data_hits}=$demand_data_hits;
$tojson{demand_data_misses}=$demand_data_misses;
$tojson{demand_meta_hits}=$demand_metadata_hits;
$tojson{demand_meta_misses}=$demand_metadata_misses;
$tojson{mfu_ghost_hits}=$mfu_ghost_hits;
$tojson{mfu_hits}=$mfu_hits;
$tojson{mru_ghost_hits}=$mru_ghost_hits;
$tojson{mru_hits}=$mru_hits;
$tojson{pre_data_hits}=$prefetch_data_hits;
$tojson{pre_data_misses}=$prefetch_data_misses;
$tojson{pre_meta_hits}=$prefetch_metadata_hits;
$tojson{pre_meta_misses}=$prefetch_metadata_misses;
$tojson{anon_hits}=$anon_hits;
$tojson{arc_accesses_total}=$arc_accesses_total;
$tojson{demand_data_total}=$demand_data_total;
$tojson{pre_data_total}=$prefetch_data_total;
$tojson{real_hits}=$real_hits;
# ARC efficient percents
$tojson{cache_hits_per}=$cache_hit_percent;
$tojson{cache_miss_per}=$cache_miss_percent;
$tojson{actual_hit_per}=$actual_hit_percent;
$tojson{data_demand_per}=$data_demand_percent;
$tojson{data_pre_per}=$data_prefetch_percent;
$tojson{anon_hits_per}=$anon_hits_percent;
$tojson{mru_per}=$mru_percent;
$tojson{mfu_per}=$mfu_percent;
$tojson{mru_ghost_per}=$mru_ghost_percent;
$tojson{mfu_ghost_per}=$mfu_ghost_percent;
$tojson{demand_hits_per}=$demand_hits_percent;
$tojson{pre_hits_per}=$prefetch_hits_percent;
$tojson{meta_hits_per}=$metadata_hits_percent;
$tojson{pre_meta_hits_per}=$prefetch_metadata_hits_percent;
$tojson{demand_misses_per}=$demand_misses_percent;
$tojson{pre_misses_per}=$prefetch_misses_percent;
$tojson{meta_misses_per}=$metadata_misses_percent;
$tojson{pre_meta_misses_per}=$prefetch_metadata_misses_percent;
#process each pool and shove them into JSON
my $zpool_output=`/sbin/zpool list -pH`;
my @pools=split( /\n/, $zpool_output );
my $pools_int=0;
my @toShoveIntoJSON;
while ( defined( $pools[$pools_int] ) ) {
my %newPool;
my $pool=$pools[$pools_int];
$pool =~ s/\t/,/g;
$pool =~ s/\,\-\,/\,0\,/g;
$pool =~ s/\%//g;
$pool =~ s/\,([0-1\.]*)x\,/,$1,/;
( $newPool{name}, $newPool{size}, $newPool{alloc}, $newPool{free}, $newPool{expandsz}, $newPool{frag}, $newPool{cap}, $newPool{dedup} )=split(/\,/, $pool);
push(@toShoveIntoJSON, \%newPool);
$pools_int++;
}
$tojson{pools}=\@toShoveIntoJSON;
my $j=JSON->new;
if ( $opts{p} ){
$j->pretty(1);
}
print $j->encode( \%tojson );
if (! $opts{p} ){
print "\n";
}
exit 0;