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Code Editor : pmdazswap.python
#!/usr/bin/env pmpython ''' Performance Metrics Domain Agent exporting Linux compressed swap metrics. ''' # # Copyright (c) 2014-2015,2021 Red Hat. # # This program is free software; you can redistribute it and/or modify it # under the terms of the GNU General Public License as published by the # Free Software Foundation; either version 2 of the License, or (at your # option) any later version. # # This program is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY # or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License # for more details. # # pylint: disable=bad-continuation,line-too-long,too-many-lines,bare-except # import cpmapi as c_api from pcp.pmapi import pmUnits from pcp.pmda import PMDA, pmdaMetric from cpmda import PMDA_FETCH_NOVALUES from resource import getpagesize from os import getenv, listdir import sys if sys.version >= '3': long = int # python2 to python3 portability (no long() in python3) ZSWAP_PAGESIZE = getpagesize() ZSWAP_STATS_PATH = '/sys/kernel/debug/zswap' class ZswapPMDA(PMDA): ''' Performance Metrics Domain Agent exporting compressed swap metrics. Install it and make basic use of it if you use zswap, as follows: # $PCP_PMDAS_DIR/zswap/Install $ pminfo -fmdtT zswap ''' def zswap_fetch_single(self, name): ''' Extract one value from a single zswap statistics file. ''' fullpath = self.path + '/' + name try: with open(fullpath) as file: value = file.readline() self.values[name] = long(value) except: # use a simple approach to avoiding errors on every fetch if self.fileerrors < self.nmetrics: self.err("fetch_single: failed to read %s" % fullpath) self.fileerrors += 1 def zswap_fetch(self): ''' Called once per PCP "fetch" PDU from pmcd(1) Iterates over the (sysfs debug) path holding zswap statistics, building a hash of values (one value extracted from each file). ''' # self.log("fetch: %s" % self.path) try: self.patherrors = 0 files = listdir(self.path) for name in files: self.zswap_fetch_single(name) except: # the kernel module may simply not be loaded currently self.patherrors = 1 def zswap_fetch_callback(self, cluster, item, inst): ''' Main fetch callback - looks up value associated with requested PMID (from zswap_fetch), converts units if needed, then returns a list of value,status (single pair) for the requested pmid ''' # self.log("fetch callback for %d.%d[%d]" % (cluster, item, inst)) if inst != c_api.PM_IN_NULL: return [c_api.PM_ERR_INST, 0] elif cluster != 0: return [c_api.PM_ERR_PMID, 0] if 0 <= item < self.nmetrics and self.patherrors == 1: return [PMDA_FETCH_NOVALUES, 0] if item == 0: return [self.values['pool_limit_hit'], 1] elif item == 1: return [self.values['reject_reclaim_fail'], 1] elif item == 2: return [self.values['reject_alloc_fail'], 1] elif item == 3: return [self.values['reject_kmemcache_fail'], 1] elif item == 4: return [self.values['reject_compress_poor'], 1] elif item == 5: return [self.values['written_back_pages'] * self.pagesize, 1] elif item == 6: return [self.values['duplicate_entry'], 1] elif item == 7: return [self.values['pool_pages'] * self.pagesize, 1] elif item == 8: return [self.values['stored_pages'] * self.pagesize, 1] elif item == 9: return [self.values['pool_total_size'] * self.pagesize, 1] elif item == 10: return [self.values['same_filled_pages'] * self.pagesize, 1] return [c_api.PM_ERR_PMID, 0] def setup_zswap_metrics(self, name): ''' Setup the metric table - ensure a values hash entry is setup for each metric; that way we don't need to worry about KeyErrors in the fetch callback routine (e.g. if the kernel interface changes). ''' self.values['pool_limit_hit'] = 0 self.add_metric(name + '.pool_limit_hit', pmdaMetric( self.pmid(0, 0), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(0, 0, 1, 0, 0, c_api.PM_COUNT_ONE)), 'Pool limit was hit (see zswap_max_pool_percent module parameter)') self.values['reject_reclaim_fail'] = 0 self.add_metric(name + '.reject_reclaim_fail', pmdaMetric( self.pmid(0, 1), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(0, 0, 1, 0, 0, c_api.PM_COUNT_ONE)), 'Store failed due to a reclaim failure after pool limit was reached') self.values['reject_alloc_fail'] = 0 self.add_metric(name + '.reject_alloc_fail', pmdaMetric( self.pmid(0, 2), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(0, 0, 1, 0, 0, c_api.PM_COUNT_ONE)), 'Store failed because underlying allocator could not get memory') self.values['reject_kmemcache_fail'] = 0 self.add_metric(name + '.reject_kmemcache_fail', pmdaMetric( self.pmid(0, 3), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(0, 0, 1, 0, 0, c_api.PM_COUNT_ONE)), 'Store failed because the entry metadata could not be allocated (rare)') self.values['reject_compress_poor'] = 0 self.add_metric(name + '.reject_compress_poor', pmdaMetric( self.pmid(0, 4), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(0, 0, 1, 0, 0, c_api.PM_COUNT_ONE)), 'Compressed page was too big for the allocator to (optimally) store') self.values['written_back_pages'] = 0 self.add_metric(name + '.written_back_pages', pmdaMetric( self.pmid(0, 5), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(1, 0, 0, c_api.PM_SPACE_KBYTE, 0, 0)), 'Pages written back when pool limit was reached') self.values['duplicate_entry'] = 0 self.add_metric(name + '.duplicate_entry', pmdaMetric( self.pmid(0, 6), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(0, 0, 1, 0, 0, c_api.PM_COUNT_ONE)), 'Duplicate store was encountered (rare)') self.values['pool_pages'] = 0 self.add_metric(name + '.pool_pages', pmdaMetric( self.pmid(0, 7), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(1, 0, 0, c_api.PM_SPACE_KBYTE, 0, 0)), 'Memory pages used by the compressed pool') self.values['stored_pages'] = 0 self.add_metric(name + '.stored_pages', pmdaMetric( self.pmid(0, 8), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(1, 0, 0, c_api.PM_SPACE_KBYTE, 0, 0)), 'Compressed pages currently stored in zswap') self.values['pool_total_size'] = 0 self.add_metric(name + '.pool_total_size', pmdaMetric( self.pmid(0, 9), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_INSTANT, pmUnits(1, 0, 0, c_api.PM_SPACE_KBYTE, 0, 0)), 'Total memory used by the compressed pool') self.values['same_filled_pages'] = 0 self.add_metric(name + '.same_filled_pages', pmdaMetric( self.pmid(0, 10), c_api.PM_TYPE_U64, c_api.PM_INDOM_NULL, c_api.PM_SEM_COUNTER, pmUnits(1, 0, 0, c_api.PM_SPACE_KBYTE, 0, 0)), 'Same-value filled pages stored in zswap') def __init__(self, name, domain): PMDA.__init__(self, name, domain) self.patherrors = 0 self.fileerrors = 0 self.pagesize = int(getenv('ZSWAP_PAGESIZE', ZSWAP_PAGESIZE)) self.path = str(getenv('ZSWAP_STATS_PATH', ZSWAP_STATS_PATH)) self.values = {} self.setup_zswap_metrics(name) self.nmetrics = len(self.values) self.set_fetch(self.zswap_fetch) self.set_fetch_callback(self.zswap_fetch_callback) if __name__ == '__main__': ZswapPMDA('zswap', 125).run()
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