X-Git-Url: https://git.arvados.org/arvados.git/blobdiff_plain/fc128bc6497aa266f925e2aa4821bde6fce9aade..62d7b55931373e5c212f557a642e07a64ca923cd:/tools/crunchstat-summary/crunchstat_summary/summarizer.py diff --git a/tools/crunchstat-summary/crunchstat_summary/summarizer.py b/tools/crunchstat-summary/crunchstat_summary/summarizer.py index d91161c70c..a86702ed70 100644 --- a/tools/crunchstat-summary/crunchstat_summary/summarizer.py +++ b/tools/crunchstat-summary/crunchstat_summary/summarizer.py @@ -2,8 +2,6 @@ # # SPDX-License-Identifier: AGPL-3.0 -from __future__ import print_function - import arvados import collections import crunchstat_summary.dygraphs @@ -24,7 +22,7 @@ from crunchstat_summary import logger # number of GiB. (Actual nodes tend to be sold in sizes like 8 GiB # that have amounts like 7.5 GiB according to the kernel.) AVAILABLE_RAM_RATIO = 0.95 - +MB=2**20 # Workaround datetime.datetime.strptime() thread-safety bug by calling # it once before starting threads. https://bugs.python.org/issue7980 @@ -37,6 +35,7 @@ WEBCHART_CLASS = crunchstat_summary.dygraphs.DygraphsChart class Task(object): def __init__(self): self.starttime = None + self.finishtime = None self.series = collections.defaultdict(list) @@ -115,12 +114,14 @@ class Summarizer(object): logger.debug('%s: done %s', self.label, uuid) continue - m = re.search(r'^(?P[^\s.]+)(\.\d+)? (?P\S+) \d+ (?P\d+) stderr crunchstat: (?P\S+) (?P.*?)( -- interval (?P.*))?\n$', line) + # 2017-12-02_17:15:08 e51c5-8i9sb-mfp68stkxnqdd6m 63676 0 stderr crunchstat: keepcalls 0 put 2576 get -- interval 10.0000 seconds 0 put 2576 get + m = re.search(r'^(?P[^\s.]+)(\.\d+)? (?P\S+) \d+ (?P\d+) stderr (?Pcrunchstat: )(?P\S+) (?P.*?)( -- interval (?P.*))?\n$', line) if not m: continue else: # crunch2 - m = re.search(r'^(?P\S+) (?P\S+) (?P.*?)( -- interval (?P.*))?\n$', line) + # 2017-12-01T16:56:24.723509200Z crunchstat: keepcalls 0 put 3 get -- interval 10.0000 seconds 0 put 3 get + m = re.search(r'^(?P\S+) (?Pcrunchstat: )?(?P\S+) (?P.*?)( -- interval (?P.*))?\n$', line) if not m: continue @@ -128,13 +129,14 @@ class Summarizer(object): try: self.label = m.group('job_uuid') except IndexError: - self.label = 'container' - if m.group('category').endswith(':'): + self.label = 'label #1' + category = m.group('category') + if category.endswith(':'): # "stderr crunchstat: notice: ..." continue - elif m.group('category') in ('error', 'caught'): + elif category in ('error', 'caught'): continue - elif m.group('category') in ('read', 'open', 'cgroup', 'CID', 'Running'): + elif category in ('read', 'open', 'cgroup', 'CID', 'Running'): # "stderr crunchstat: read /proc/1234/net/dev: ..." # (old logs are less careful with unprefixed error messages) continue @@ -158,15 +160,24 @@ class Summarizer(object): raise ValueError("Cannot parse timestamp {!r}".format( timestamp)) - if not task.starttime: - task.starttime = timestamp + if task.starttime is None: logger.debug('%s: task %s starttime %s', self.label, task_id, timestamp) - task.finishtime = timestamp + if task.starttime is None or timestamp < task.starttime: + task.starttime = timestamp + if task.finishtime is None or timestamp > task.finishtime: + task.finishtime = timestamp - if not self.starttime: + if self.starttime is None or timestamp < self.starttime: self.starttime = timestamp - self.finishtime = timestamp + if self.finishtime is None or timestamp > self.finishtime: + self.finishtime = timestamp + + if (not self.detected_crunch1) and task.starttime is not None and task.finishtime is not None: + elapsed = (task.finishtime - task.starttime).seconds + self.task_stats[task_id]['time'] = {'elapsed': elapsed} + if elapsed > self.stats_max['time']['elapsed']: + self.stats_max['time']['elapsed'] = elapsed this_interval_s = None for group in ['current', 'interval']: @@ -182,33 +193,40 @@ class Summarizer(object): else: stats[stat] = int(val) except ValueError as e: - logger.warning( - 'Error parsing value %r (stat %r, category %r): %r', - val, stat, category, e) - logger.warning('%s', line) + # If the line doesn't start with 'crunchstat:' we + # might have mistaken an error message for a + # structured crunchstat line. + if m.group("crunchstat") is None or m.group("category") == "crunchstat": + logger.warning("%s: log contains message\n %s", self.label, line) + else: + logger.warning( + '%s: Error parsing value %r (stat %r, category %r): %r', + self.label, val, stat, category, e) + logger.warning('%s', line) continue if 'user' in stats or 'sys' in stats: stats['user+sys'] = stats.get('user', 0) + stats.get('sys', 0) if 'tx' in stats or 'rx' in stats: stats['tx+rx'] = stats.get('tx', 0) + stats.get('rx', 0) - for stat, val in stats.iteritems(): - if group == 'interval': - if stat == 'seconds': - this_interval_s = val - continue - elif not (this_interval_s > 0): + if group == 'interval': + if 'seconds' in stats: + this_interval_s = stats.get('seconds',0) + del stats['seconds'] + if this_interval_s <= 0: logger.error( "BUG? interval stat given with duration {!r}". format(this_interval_s)) - continue - else: + else: + logger.error('BUG? interval stat missing duration') + for stat, val in stats.items(): + if group == 'interval' and this_interval_s: stat = stat + '__rate' val = val / this_interval_s - if stat in ['user+sys__rate', 'tx+rx__rate']: + if stat in ['user+sys__rate', 'user__rate', 'sys__rate', 'tx+rx__rate', 'rx__rate', 'tx__rate']: task.series[category, stat].append( (timestamp - self.starttime, val)) else: - if stat in ['rss']: + if stat in ['rss','used','total']: task.series[category, stat].append( (timestamp - self.starttime, val)) self.task_stats[task_id][category][stat] = val @@ -218,9 +236,9 @@ class Summarizer(object): self.job_tot = collections.defaultdict( functools.partial(collections.defaultdict, int)) - for task_id, task_stat in self.task_stats.iteritems(): - for category, stat_last in task_stat.iteritems(): - for stat, val in stat_last.iteritems(): + for task_id, task_stat in self.task_stats.items(): + for category, stat_last in task_stat.items(): + for stat, val in stat_last.items(): if stat in ['cpus', 'cache', 'swap', 'rss']: # meaningless stats like 16 cpu cores x 5 tasks = 80 continue @@ -255,8 +273,8 @@ class Summarizer(object): def _text_report_gen(self): yield "\t".join(['category', 'metric', 'task_max', 'task_max_rate', 'job_total']) - for category, stat_max in sorted(self.stats_max.iteritems()): - for stat, val in sorted(stat_max.iteritems()): + for category, stat_max in sorted(self.stats_max.items()): + for stat, val in sorted(stat_max.items()): if stat.endswith('__rate'): continue max_rate = self._format(stat_max.get(stat+'__rate', '-')) @@ -274,7 +292,7 @@ class Summarizer(object): self.stats_max['cpu']['user+sys__rate'], lambda x: x * 100), ('Overall CPU usage: {}%', - self.job_tot['cpu']['user+sys'] / + float(self.job_tot['cpu']['user+sys']) / self.job_tot['time']['elapsed'] if self.job_tot['time']['elapsed'] > 0 else 0, lambda x: x * 100), @@ -298,7 +316,13 @@ class Summarizer(object): (float(self.job_tot['blkio:0:0']['read']) / float(self.job_tot['net:keep0']['rx'])) if self.job_tot['net:keep0']['rx'] > 0 else 0, - lambda x: x * 100.0)): + lambda x: x * 100.0), + ('Temp disk utilization {}%', + (float(self.job_tot['statfs']['used']) / + float(self.job_tot['statfs']['total'])) + if self.job_tot['statfs']['total'] > 0 else 0, + lambda x: x * 100.0), + ): format_string, val, transform = args if val == float('-Inf'): continue @@ -307,6 +331,7 @@ class Summarizer(object): yield "# "+format_string.format(self._format(val)) def _recommend_gen(self): + # TODO recommend fixing job granularity if elapsed time is too short return itertools.chain( self._recommend_cpu(), self._recommend_ram(), @@ -317,21 +342,27 @@ class Summarizer(object): constraint_key = self._map_runtime_constraint('vcpus') cpu_max_rate = self.stats_max['cpu']['user+sys__rate'] - if cpu_max_rate == float('-Inf'): + if cpu_max_rate == float('-Inf') or cpu_max_rate == 0.0: logger.warning('%s: no CPU usage data', self.label) return + # TODO Don't necessarily want to recommend on isolated max peak + # take average CPU usage into account as well or % time at max used_cores = max(1, int(math.ceil(cpu_max_rate))) asked_cores = self.existing_constraints.get(constraint_key) - if asked_cores is None or used_cores < asked_cores: + if asked_cores is None: + asked_cores = 1 + # TODO: This should be more nuanced in cases where max >> avg + if used_cores < asked_cores: yield ( '#!! {} max CPU usage was {}% -- ' - 'try runtime_constraints "{}":{}' + 'try reducing runtime_constraints to "{}":{}' ).format( self.label, - int(math.ceil(cpu_max_rate*100)), + math.ceil(cpu_max_rate*100), constraint_key, int(used_cores)) + # FIXME: This needs to be updated to account for current nodemanager algorithms def _recommend_ram(self): """Recommend an economical RAM constraint for this job. @@ -371,20 +402,20 @@ class Summarizer(object): if used_bytes == float('-Inf'): logger.warning('%s: no memory usage data', self.label) return - used_mib = math.ceil(float(used_bytes) / 1048576) + used_mib = math.ceil(float(used_bytes) / MB) asked_mib = self.existing_constraints.get(constraint_key) nearlygibs = lambda mebibytes: mebibytes/AVAILABLE_RAM_RATIO/1024 - if asked_mib is None or ( - math.ceil(nearlygibs(used_mib)) < nearlygibs(asked_mib)): + if used_mib > 0 and (asked_mib is None or ( + math.ceil(nearlygibs(used_mib)) < nearlygibs(asked_mib))): yield ( '#!! {} max RSS was {} MiB -- ' - 'try runtime_constraints "{}":{}' + 'try reducing runtime_constraints to "{}":{}' ).format( self.label, int(used_mib), constraint_key, - int(math.ceil(nearlygibs(used_mib))*AVAILABLE_RAM_RATIO*1024*(2**20)/self._runtime_constraint_mem_unit())) + int(math.ceil(nearlygibs(used_mib))*AVAILABLE_RAM_RATIO*1024*(MB)/self._runtime_constraint_mem_unit())) def _recommend_keep_cache(self): """Recommend increasing keep cache if utilization < 80%""" @@ -393,17 +424,18 @@ class Summarizer(object): return utilization = (float(self.job_tot['blkio:0:0']['read']) / float(self.job_tot['net:keep0']['rx'])) - asked_mib = self.existing_constraints.get(constraint_key, 256) + # FIXME: the default on this get won't work correctly + asked_cache = self.existing_constraints.get(constraint_key, 256) * self._runtime_constraint_mem_unit() if utilization < 0.8: yield ( '#!! {} Keep cache utilization was {:.2f}% -- ' - 'try runtime_constraints "{}":{} (or more)' + 'try doubling runtime_constraints to "{}":{} (or more)' ).format( self.label, utilization * 100.0, constraint_key, - asked_mib*2*(2**20)/self._runtime_constraint_mem_unit()) + math.ceil(asked_cache * 2 / self._runtime_constraint_mem_unit())) def _format(self, val): @@ -495,7 +527,7 @@ class ProcessSummarizer(Summarizer): class JobSummarizer(ProcessSummarizer): - runtime_constraint_mem_unit = 1048576 + runtime_constraint_mem_unit = MB map_runtime_constraint = { 'keep_cache_ram': 'keep_cache_mb_per_task', 'ram': 'min_ram_mb_per_node', @@ -521,7 +553,7 @@ class MultiSummarizer(object): def run(self): threads = [] - for child in self.children.itervalues(): + for child in self.children.values(): self.throttle.acquire() t = threading.Thread(target=self.run_and_release, args=(child.run, )) t.daemon = True @@ -533,7 +565,7 @@ class MultiSummarizer(object): def text_report(self): txt = '' d = self._descendants() - for child in d.itervalues(): + for child in d.values(): if len(d) > 1: txt += '### Summary for {} ({})\n'.format( child.label, child.process['uuid']) @@ -548,7 +580,7 @@ class MultiSummarizer(object): MultiSummarizers) are omitted. """ d = collections.OrderedDict() - for key, child in self.children.iteritems(): + for key, child in self.children.items(): if isinstance(child, Summarizer): d[key] = child if isinstance(child, MultiSummarizer): @@ -556,7 +588,7 @@ class MultiSummarizer(object): return d def html_report(self): - return WEBCHART_CLASS(self.label, self._descendants().itervalues()).html() + return WEBCHART_CLASS(self.label, iter(self._descendants().values())).html() class JobTreeSummarizer(MultiSummarizer): @@ -570,7 +602,7 @@ class JobTreeSummarizer(MultiSummarizer): preloaded = {} for j in arv.jobs().index( limit=len(job['components']), - filters=[['uuid','in',job['components'].values()]]).execute()['items']: + filters=[['uuid','in',list(job['components'].values())]]).execute()['items']: preloaded[j['uuid']] = j for cname in sorted(job['components'].keys()): child_uuid = job['components'][cname] @@ -587,7 +619,7 @@ class JobTreeSummarizer(MultiSummarizer): class PipelineSummarizer(MultiSummarizer): def __init__(self, instance, **kwargs): children = collections.OrderedDict() - for cname, component in instance['components'].iteritems(): + for cname, component in instance['components'].items(): if 'job' not in component: logger.warning( "%s: skipping component with no job assigned", cname) @@ -645,7 +677,7 @@ class ContainerTreeSummarizer(MultiSummarizer): cr['name'] = cr.get('name') or cr['uuid'] todo.append(cr) sorted_children = collections.OrderedDict() - for uuid in sorted(children.keys(), key=lambda uuid: children[uuid].sort_key): + for uuid in sorted(list(children.keys()), key=lambda uuid: children[uuid].sort_key): sorted_children[uuid] = children[uuid] super(ContainerTreeSummarizer, self).__init__( children=sorted_children,