def output(self, connect_time, total_time):
precision = self.precision
cell_info = "HBase table '{0}' row '{1}' column '{2}'".format(self.table, self.row, self.column)
value = self.value
self.msg = "cell value = '{0}'".format(value)
if isFloat(value):
log.info('value is float, checking thresholds')
self.check_thresholds(value)
self.msg += " for {0}".format(cell_info)
query_time = self.timings[self.column]['read']
perfdata = ''
perfdata += ' total_time={0:0.{precision}f}ms'.format(total_time, precision=precision)
perfdata += ' connect_time={0:0.{precision}f}ms'.format(connect_time, precision=precision)
perfdata += ' query_time={0:0.{precision}f}ms'.format(query_time, precision=precision)
# show the timings at the end of the user output as well as in the graphing perfdata section
self.msg += ',' + perfdata
self.msg += ' |'
if self.graph:
if isFloat(value):
self.msg += ' value={0}'.format(value)
if self.units:
self.msg += str(self.units)
self.msg += self.get_perf_thresholds()
else:
self.msg += ' value=NaN'
self.msg += perfdata
def msg_metrics(self, metrics):
if not metrics:
qquit(
'UNKNOWN',
"no matching metrics found, check your filters: --" +
" / --".join(self.filter_types))
for metric in sorted(metrics):
value = metrics[metric]
self.msg += ' {metric}={value}'.format(metric=metric, value=value)
#if len(metrics) == 1:
#self.check_thresholds(metrics.itervalues().next())
# safer for python 3 without having to use six.next(six.itervalues(metrics))
#metric = metrics.keys()[0]
#value = metrics[metric]
if isFloat(value):
self.check_thresholds(value)
self.msg += ' |'
for metric in sorted(metrics):
value = metrics[metric]
# try not to break graphing when Attivio gives us 'NaN' value
if not isFloat(value):
value = 0
self.msg += " '{metric}'={value}".format(metric=metric,
value=value)
if self.verbose:
self.msg += self.get_perf_thresholds()
def output(self, connect_time, total_time):
precision = self.precision
cell_info = "HBase table '{0}' row '{1}' column '{2}'".format(
self.table, self.row, self.column)
value = self.value
self.msg = "cell value = '{0}'".format(value)
if isFloat(value):
log.info('value is float, checking thresholds')
self.check_thresholds(value)
self.msg += " for {0}".format(cell_info)
query_time = self.timings[self.column]['read']
perfdata = ''
perfdata += ' total_time={0:0.{precision}f}ms'.format(
total_time, precision=precision)
perfdata += ' connect_time={0:0.{precision}f}ms'.format(
connect_time, precision=precision)
perfdata += ' query_time={0:0.{precision}f}ms'.format(
query_time, precision=precision)
# show the timings at the end of the user output as well as in the graphing perfdata section
self.msg += ',' + perfdata
self.msg += ' |'
if self.graph:
if isFloat(value):
self.msg += ' value={0}'.format(value)
if self.units:
self.msg += str(self.units)
self.msg += self.get_perf_thresholds()
else:
self.msg += ' value=NaN'
self.msg += perfdata
def parse_json(self, json_data):
log.info('parsing response')
try:
bean = json_data['beans'][0]
space_used_pc = bean['PercentUsed']
# the way below is more informative
#assert type(space_used_pc) == float
if re.search(r'e-\d+$', str(space_used_pc)):
space_used_pc = 0
if not isFloat(space_used_pc):
raise UnknownError("non-float returned for PercentUsed by namenode '{0}:{1}'"\
.format(self.host, self.port))
assert space_used_pc >= 0
stats = {}
for stat in ('Total', 'TotalBlocks', 'TotalFiles', 'Used'):
stats[stat] = bean[stat]
if not isInt(stats[stat]):
raise UnknownError("non-integer returned for {0} by namenode '{1}:{2}'"\
.format(stat, self.host, self.port))
stats[stat] = int(stats[stat])
self.ok()
self.msg = 'HDFS space used = {0:.2f}% ({1}/{2})'\
.format(space_used_pc, humanize.naturalsize(stats['Used']), humanize.naturalsize(stats['Total']))
self.check_thresholds(space_used_pc)
self.msg += ", in {0:d} files spread across {1:d} blocks".format(stats['TotalFiles'], stats['TotalBlocks'])
self.msg += " | 'HDFS % space used'={0:f}%{1}".format(space_used_pc, self.get_perf_thresholds())
self.msg += " 'HDFS space used'={0:d}b".format(stats['Used'])
self.msg += " 'HDFS file count'={0:d}".format(stats['TotalFiles'])
self.msg += " 'HDFS block count'={0:d}".format(stats['TotalBlocks'])
except KeyError as _:
raise UnknownError("failed to parse json returned by NameNode at '{0}:{1}': {2}. {3}"\
.format(self.host, self.port, _, support_msg_api()))
except ValueError as _:
raise UnknownError("invalid json returned for LiveNodes by Namenode '{0}:{1}': {2}"\
.format(self.host, self.port, _))
def parse_json(self, json_data):
if self.list_jobs:
jobs = json_data['jobs']
print('Jenkins Jobs:\n')
for job in jobs:
print(job['name'])
sys.exit(ERRORS['UNKNOWN'])
# this method has a nicer job not found error message
# but it's less efficient if querying a Jenkins server with lots of jobs
#job = None
#for _ in jobs:
# if _['name'].lower() == self.job.lower():
# job = _
# break
#if not job:
# raise CriticalError("job '{job}' not found. See --list to see available jobs".format(job=self.job))
health_report = json_data['healthReport']
if not health_report:
raise UnknownError("no health report found for job '{job}' (not built yet?)".format(job=self.job))
health_report = health_report[0]
score = health_report['score']
if not isFloat(score):
raise UnknownError("non-numeric score returned in health report for job '{job}'".format(job=self.job))
score = float(score)
description = health_report['description']
self.msg += "'{job}' health report score = {score}".format(job=self.job, score=score)
self.check_thresholds(score)
#self.msg += ", description: '{description}'".format(description=description)
self.msg += ", {description}".format(description=description)
self.msg += ' | health_report_score={score}%{thresholds}'\
.format(score=score, thresholds=self.get_perf_thresholds(boundary='lower'))
def create_perfdata(self):
perfdata = ''
if isFloat(self._read_value):
perfdata = " | '{0}'={1}{2} query_time={3:.7f}s".format(
self.key, self._read_value, self.get_perf_thresholds(),
self._read_timing)
return perfdata
def get_stat(node, stat):
stat_num = node[stat]
if not isFloat(stat_num):
raise UnknownError('{stat} is not a float! {msg}'.format(stat=stat, msg=support_msg_api()))
stat_num = float('{0:.2f}'.format(stat_num))
if stat_num < 0:
raise UnknownError('{stat} < 0 ?!!! {msg}'.format(stat=stat, msg=support_msg_api()))
return stat_num
def parse_json(self, json_data):
load_average = json_data['systemDiagnostics']['aggregateSnapshot']['processorLoadAverage']
if not isFloat(load_average):
raise CriticalError('processorLoadAverage \'{}\' is not a float!!'.format(load_average))
load_average = float(load_average)
self.ok()
self.msg = 'Nifi processor load average = {}'.format(load_average)
self.check_thresholds(load_average)
self.msg += ' | processor_load_average={}{}'.format(load_average, self.get_perf_thresholds())
def get_recent_failures(node):
recent_failures = node['recentFailures']
if not isFloat(recent_failures):
raise UnknownError('recentFailures is not a float! {0}'.format(
support_msg_api()))
recent_failures = float('{0:.2f}'.format(recent_failures))
if recent_failures < 0:
raise UnknownError('recentFailures < 0 ?!!! {0}'.format(
support_msg_api()))
return recent_failures
def get_recent_failure_ratio(node):
recent_failure_ratio = node['recentFailureRatio']
if not isFloat(recent_failure_ratio):
raise UnknownError('recentFailureRatio is not a float! {0}'.format(support_msg_api()))
recent_failure_ratio = float('{0:.2f}'.format(recent_failure_ratio))
if recent_failure_ratio < 0:
raise UnknownError('recentFailureRatio < 0 ?!!! {0}'.format(support_msg_api()))
if recent_failure_ratio > 1:
raise UnknownError('recentFailureRatio > 1 ?!!! {0}'.format(support_msg_api()))
return recent_failure_ratio
def msg_metrics(self, metrics):
if not metrics:
qquit('UNKNOWN', "no matching metrics found, check your filters: --" + " / --".join(self.filter_types))
for metric in sorted(metrics):
value = metrics[metric]
self.msg += ' {metric}={value}'.format(metric=metric, value=value)
#if len(metrics) == 1:
#self.check_thresholds(metrics.itervalues().next())
# safer for python 3 without having to use six.next(six.itervalues(metrics))
#metric = metrics.keys()[0]
#value = metrics[metric]
if isFloat(value):
self.check_thresholds(value)
self.msg += ' |'
for metric in sorted(metrics):
value = metrics[metric]
# try not to break graphing when Attivio gives us 'NaN' value
if not isFloat(value):
value = 0
self.msg += " '{metric}'={value}".format(metric=metric, value=value)
if self.verbose:
self.msg += self.get_perf_thresholds()
def parse_json(self, json_data):
load_average = json_data['systemDiagnostics']['aggregateSnapshot'][
'processorLoadAverage']
if not isFloat(load_average):
raise CriticalError(
'processorLoadAverage \'{}\' is not a float!!'.format(
load_average))
load_average = float(load_average)
self.ok()
self.msg = 'Nifi processor load average = {}'.format(load_average)
self.check_thresholds(load_average)
self.msg += ' | processor_load_average={}{}'.format(
load_average, self.get_perf_thresholds())
def parse_json(self, json_data):
if not isList(json_data):
raise UnknownError(
'non-list returned by Presto for nodes. {0}'.format(
support_msg_api()))
nodes_failing = []
max_ratio = 0.0
re_protocol = re.compile('^https?://')
num_nodes = len(json_data)
for node_item in json_data:
recent_failure_ratio = node_item['recentFailureRatio']
if not isFloat(recent_failure_ratio):
raise UnknownError(
'recentFailureRatio is not a float! {0}'.format(
support_msg_api()))
recent_failure_ratio = float(
'{0:.2f}'.format(recent_failure_ratio))
if recent_failure_ratio < 0:
raise UnknownError('recentFailureRatio < 0 ?!!! {0}'.format(
support_msg_api()))
if recent_failure_ratio > 1:
raise UnknownError('recentFailureRatio > 1 ?!!! {0}'.format(
support_msg_api()))
if recent_failure_ratio > max_ratio:
max_ratio = recent_failure_ratio
if recent_failure_ratio > self.max_ratio:
uri = node_item['uri']
uri = re_protocol.sub('', uri)
nodes_failing += [uri]
log.info("node '%s' recent failure ratio %f > max ratio %f",
node_item['uri'], recent_failure_ratio,
self.max_ratio)
elif recent_failure_ratio:
log.info(
"node '%s' recent failures ratio %f, but less than max ratio threshold of %f",
node_item['uri'], recent_failure_ratio, self.max_ratio)
num_nodes_failing = len(nodes_failing)
self.msg = 'Presto SQL - worker nodes with recent failure ratio > {0:.2f} = {1:d}'\
.format(self.max_ratio, num_nodes_failing)
self.check_thresholds(num_nodes_failing)
self.msg += ' out of {0:d} nodes'.format(num_nodes)
if num_nodes < 1:
self.warning()
self.msg += ' (< 1 worker found)'
self.msg += ', max recent failure ratio = {0:.2f}'.format(max_ratio)
if self.verbose and nodes_failing:
self.msg += ' [{0}]'.format(','.join(nodes_failing))
self.msg += ' | num_nodes_failing={0}{1} max_ratio={2:.2f}'\
.format(num_nodes_failing, self.get_perf_thresholds(), max_ratio)
def process_options(self):
self.name = self.get_opt('name')
if not self.name:
for arg in self.args:
arg = os.path.basename(arg)
if arg and arg[0] != '-' and \
not self.is_interpreter(arg) and \
arg not in ERRORS and \
not isFloat(arg):
self.name = arg
break
if not self.name:
self.usage('--name not defined')
self.name = self.space_regex.sub('_', self.name)
log.info('name = %s', self.name)
def process_options(self):
self.name = self.get_opt('name')
if not self.name:
for arg in self.args:
arg = os.path.basename(arg)
if arg and arg[0] != '-' and \
not self.is_interpreter(arg) and \
arg not in ERRORS and \
not isFloat(arg):
self.name = arg
break
if not self.name:
self.usage('--name not defined')
self.name = self.space_regex.sub('_', self.name)
log.info('name = %s', self.name)
def run(self):
self.no_args()
host = self.options.host
port = self.options.port
validate_host(host)
validate_port(port)
key = self.options.key
regex = self.options.regex
if not key:
self.usage('--key not defined')
key = key.lstrip('/')
validate_chars(key, 'key', r'\w\/-')
if regex:
validate_regex(regex, 'key')
self.validate_thresholds(optional=True)
req = None
url = 'http://%(host)s:%(port)s/v1/kv/%(key)s' % locals()
log.debug('GET %s' % url)
try:
req = requests.get(url)
except requests.exceptions.RequestException as _:
qquit('CRITICAL', _)
log.debug("response: %s %s" % (req.status_code, req.reason))
log.debug("content: '%s'" % req.content)
if req.status_code != 200:
err = ''
if req.content and isStr(
req.content) and len(req.content.split('\n')) < 2:
err += ': ' + req.content
qquit(
'CRITICAL', "failed to retrieve consul key '%s': '%s' %s%s" %
(key, req.status_code, req.reason, err))
value = self.extract_value(req.content)
log.info("value = '%(value)s'" % locals())
self.ok()
self.msg = "consul key '%s' value = '%s'" % (key, value)
if regex:
if not re.search(regex, value):
self.critical()
self.msg += " (did not match expected regex '%s')" % regex
#elif self.get_verbose():
# self.msg += " (matched regex '%s')" % regex
self.check_thresholds(value)
if isFloat(value):
self.msg += " | '%s'=%s" % (key, value)
def check(self, result):
if not isFloat(result):
return "(not a float!)"
result = float(result)
if self.opts["invert"]:
if (
self.thresholds["lower"] is not None
and self.thresholds["upper"] is not None
and result >= self.thresholds["lower"]
and result <= self.thresholds["upper"]
):
return "({0:g} <= {1:g} <= {2:g})".format(self.thresholds["lower"], result, self.thresholds["upper"])
else:
if self.thresholds["lower"] is not None and result < self.thresholds["lower"]:
return "({0:g} < {1:g})".format(result, self.thresholds["lower"])
if self.thresholds["upper"] is not None and result > self.thresholds["upper"]:
return "({0:g} > {1:g})".format(result, self.thresholds["upper"])
return ""
def check(self, result):
if not isFloat(result):
return '(not a float!)'
result = float(result)
if self.opts['invert']:
if self.thresholds['lower'] is not None and self.thresholds['upper'] is not None and \
result >= self.thresholds['lower'] and result <= self.thresholds['upper']:
return '({0:g} <= {1:g} <= {2:g})'.format(
self.thresholds['lower'], result, self.thresholds['upper'])
else:
if self.thresholds[
'lower'] is not None and result < self.thresholds['lower']:
return '({0:g} < {1:g})'.format(result,
self.thresholds['lower'])
if self.thresholds[
'upper'] is not None and result > self.thresholds['upper']:
return '({0:g} > {1:g})'.format(result,
self.thresholds['upper'])
return ''
def run(self):
self.no_args()
host = self.get_opt('host')
port = self.get_opt('port')
validate_host(host)
validate_port(port)
key = self.get_opt('key')
regex = self.get_opt('regex')
if not key:
self.usage('--key not defined')
key = key.lstrip('/')
validate_chars(key, 'key', r'\w\/-')
if regex:
validate_regex(regex, 'key')
self.validate_thresholds(optional=True)
req = None
url = 'http://%(host)s:%(port)s/v1/kv/%(key)s' % locals()
log.debug('GET %s' % url)
try:
req = requests.get(url)
except requests.exceptions.RequestException as _:
qquit('CRITICAL', _)
log.debug("response: %s %s" % (req.status_code, req.reason))
log.debug("content: '%s'" % req.content)
if req.status_code != 200:
err = ''
if req.content and isStr(req.content) and len(req.content.split('\n')) < 2:
err += ': ' + req.content
qquit('CRITICAL', "failed to retrieve consul key '%s': '%s' %s%s" % (key, req.status_code, req.reason, err))
value = self.extract_value(req.content)
log.info("value = '%(value)s'" % locals())
self.ok()
self.msg = "consul key '%s' value = '%s'" % (key, value)
if regex:
if not re.search(regex, value):
self.critical()
self.msg += " (did not match expected regex '%s')" % regex
#elif self.get_verbose():
# self.msg += " (matched regex '%s')" % regex
self.check_thresholds(value)
if isFloat(value):
self.msg += " | '%s'=%s" % (key, value)
def run(self):
self.no_args()
host = self.options.host
port = self.options.port
validate_host(host)
validate_port(port)
key = self.options.key
regex = self.options.regex
if not key:
self.usage("--key not defined")
key = key.lstrip("/")
validate_chars(key, "key", r"\w\/-")
if regex:
validate_regex(regex, "key")
self.validate_thresholds(optional=True)
req = None
url = "http://%(host)s:%(port)s/v1/kv/%(key)s" % locals()
log.debug("GET %s" % url)
try:
req = requests.get(url)
except requests.exceptions.RequestException as _:
qquit("CRITICAL", _)
log.debug("response: %s %s" % (req.status_code, req.reason))
log.debug("content: '%s'" % req.content)
if req.status_code != 200:
err = ""
if req.content and isStr(req.content) and len(req.content.split("\n")) < 2:
err += ": " + req.content
qquit("CRITICAL", "failed to retrieve consul key '%s': '%s' %s%s" % (key, req.status_code, req.reason, err))
value = self.extract_value(req.content)
log.info("value = '%(value)s'" % locals())
self.ok()
self.msg = "consul key '%s' value = '%s'" % (key, value)
if regex:
if not re.search(regex, value):
self.critical()
self.msg += " (did not match expected regex '%s')" % regex
# elif self.get_verbose():
# self.msg += " (matched regex '%s')" % regex
self.check_thresholds(value)
if isFloat(value):
self.msg += " | '%s'=%s" % (key, value)
def parse_json(self, json_data):
if not isList(json_data):
raise UnknownError('non-list returned by Presto for nodes. {0}'.format(support_msg_api()))
nodes_failing = []
max_ratio = 0.0
re_protocol = re.compile('^https?://')
num_nodes = len(json_data)
for node_item in json_data:
recent_failure_ratio = node_item['recentFailureRatio']
if not isFloat(recent_failure_ratio):
raise UnknownError('recentFailureRatio is not a float! {0}'.format(support_msg_api()))
recent_failure_ratio = float('{0:.2f}'.format(recent_failure_ratio))
if recent_failure_ratio < 0:
raise UnknownError('recentFailureRatio < 0 ?!!! {0}'.format(support_msg_api()))
if recent_failure_ratio > 1:
raise UnknownError('recentFailureRatio > 1 ?!!! {0}'.format(support_msg_api()))
if recent_failure_ratio > max_ratio:
max_ratio = recent_failure_ratio
if recent_failure_ratio > self.max_ratio:
uri = node_item['uri']
uri = re_protocol.sub('', uri)
nodes_failing += [uri]
log.info("node '%s' recent failure ratio %f > max ratio %f",
node_item['uri'], recent_failure_ratio, self.max_ratio)
elif recent_failure_ratio:
log.info("node '%s' recent failures ratio %f, but less than max ratio threshold of %f",
node_item['uri'], recent_failure_ratio, self.max_ratio)
num_nodes_failing = len(nodes_failing)
self.msg = 'Presto SQL - worker nodes with recent failure ratio > {0:.2f} = {1:d}'\
.format(self.max_ratio, num_nodes_failing)
self.check_thresholds(num_nodes_failing)
self.msg += ' out of {0:d} nodes'.format(num_nodes)
if num_nodes < 1:
self.warning()
self.msg += ' (< 1 worker found)'
self.msg += ', max recent failure ratio = {0:.2f}'.format(max_ratio)
if self.verbose and nodes_failing:
self.msg += ' [{0}]'.format(','.join(nodes_failing))
self.msg += ' | num_nodes_failing={0}{1} max_ratio={2:.2f}'\
.format(num_nodes_failing, self.get_perf_thresholds(), max_ratio)
def parse_metrics(self, json_struct):
if not isList(json_struct):
raise ValueError("non-list returned by Attivio AIE Perfmon metrics API (got type '{0}')"\
.format(type(json_struct)))
metrics = {}
if not json_struct:
qquit('UNKNOWN', "no matching metrics found for '{0}'".format(self.metrics) + \
", use --list-metrics to check you've specified a correct metric")
for item in json_struct:
if not isDict(item):
raise ValueError("non-dict item found in list returned by Attivio AIE Perfmon API (got type '{0}')"\
.format(type(item)))
if not isList(item['values']):
raise ValueError("non-list returned for metric value by Attivio AIE Perfmon API (got type '{0}')"\
.format(type(item['values'])))
metric = item['metric']
log.info('metric = %s', metric)
if self.skip_metric(item):
log.info('skipping metric %s due to filters', metric)
continue
for key in ('nodeset', 'hostname', 'workflowType', 'workflow',
'component', 'path', 'networkInterface'):
if key in item:
val = item[key]
log.info('%s = %s', key, val)
# Attivio returns network interfaces in form "lo - 127.0.0.1"
if key == 'networkInterface':
val = val.split()[0]
metric += '.{0}'.format(val)
value = item['values'][0]
log.info('value = %s\n', value)
if self.precision and isFloat(value):
# leaving as string will result in lots of trailing zeros
value = float('{value:.{precision}f}'.format(
value=value, precision=self.precision))
if metric in metrics:
qquit('UNKNOWN', "duplicate metric '{metric}' discovered! {support_msg}"\
.format(metric=metric, support_msg=support_msg_api()))
metrics[metric] = value
return metrics
def parse_json(self, json_data):
log.info('parsing response')
try:
bean = json_data['beans'][0]
space_used_pc = bean['PercentUsed']
# the way below is more informative
#assert type(space_used_pc) == float
if re.search(r'e-\d+$', str(space_used_pc)):
space_used_pc = 0
if not isFloat(space_used_pc):
raise UnknownError("non-float returned for PercentUsed by namenode '{0}:{1}'"\
.format(self.host, self.port))
if space_used_pc < 0:
raise UnknownError(
'space_used_pc {} < 0'.format(space_used_pc))
stats = {}
for stat in ('Total', 'TotalBlocks', 'TotalFiles', 'Used'):
stats[stat] = bean[stat]
if not isInt(stats[stat]):
raise UnknownError("non-integer returned for {0} by namenode '{1}:{2}'"\
.format(stat, self.host, self.port))
stats[stat] = int(stats[stat])
self.ok()
self.msg = 'HDFS space used = {0:.2f}% ({1}/{2})'\
.format(space_used_pc, humanize.naturalsize(stats['Used']), humanize.naturalsize(stats['Total']))
self.check_thresholds(space_used_pc)
self.msg += ", in {0:d} files spread across {1:d} blocks".format(
stats['TotalFiles'], stats['TotalBlocks'])
self.msg += " | 'HDFS % space used'={0:f}%{1}".format(
space_used_pc, self.get_perf_thresholds())
self.msg += " 'HDFS space used'={0:d}b".format(stats['Used'])
self.msg += " 'HDFS file count'={0:d}".format(stats['TotalFiles'])
self.msg += " 'HDFS block count'={0:d}".format(
stats['TotalBlocks'])
except KeyError as _:
raise UnknownError("failed to parse json returned by NameNode at '{0}:{1}': {2}. {3}"\
.format(self.host, self.port, _, support_msg_api()))
except ValueError as _:
raise UnknownError("invalid json returned for LiveNodes by Namenode '{0}:{1}': {2}"\
.format(self.host, self.port, _))
def parse_json(self, json_data):
if not isList(json_data):
raise UnknownError(
'non-list returned by Presto for nodes. {0}'.format(
support_msg_api()))
nodes_failing = []
max_failures = 0.0
re_protocol = re.compile('^https?://')
for node_item in json_data:
recent_failures = node_item['recentFailures']
if not isFloat(recent_failures):
raise UnknownError('recentFailures is not a float! {0}'.format(
support_msg_api()))
recent_failures = float('{0:.2f}'.format(recent_failures))
if recent_failures < 0:
raise UnknownError('recentFailures < 0 ?!!! {0}'.format(
support_msg_api()))
if recent_failures > max_failures:
max_failures = recent_failures
if recent_failures > self.max_failures:
uri = node_item['uri']
uri = re_protocol.sub('', uri)
nodes_failing += [uri]
log.info("node '%s' recent failures %f > max failures %f",
node_item['uri'], recent_failures, self.max_failures)
elif recent_failures:
log.info(
"node '%s' recent failures %f, but less than max failures threshold of %f",
node_item['uri'], recent_failures, self.max_failures)
num_nodes_failing = len(nodes_failing)
self.msg = 'Presto SQL worker nodes with recent failures > {0:.2f} = {1:d}'\
.format(self.max_failures, num_nodes_failing)
self.check_thresholds(num_nodes_failing)
self.msg += ', max recent failures per node = {0:.2f}'.format(
max_failures)
if self.verbose and nodes_failing:
self.msg += ' [{0}]'.format(','.join(nodes_failing))
self.msg += ' | num_nodes_failing={0}{1} max_recent_failures={2:.2f}'\
.format(num_nodes_failing, self.get_perf_thresholds(), max_failures)
def parse_metrics(self, json_struct):
if not isList(json_struct):
raise ValueError("non-list returned by Attivio AIE Perfmon metrics API (got type '{0}')"\
.format(type(json_struct)))
metrics = {}
if not json_struct:
qquit('UNKNOWN', "no matching metrics found for '{0}'".format(self.metrics) + \
", use --list-metrics to check you've specified a correct metric")
for item in json_struct:
if not isDict(item):
raise ValueError("non-dict item found in list returned by Attivio AIE Perfmon API (got type '{0}')"\
.format(type(item)))
if not isList(item['values']):
raise ValueError("non-list returned for metric value by Attivio AIE Perfmon API (got type '{0}')"\
.format(type(item['values'])))
metric = item['metric']
log.info('metric = %s', metric)
if self.skip_metric(item):
log.info('skipping metric %s due to filters', metric)
continue
for key in ('nodeset', 'hostname', 'workflowType', 'workflow', 'component', 'path', 'networkInterface'):
if key in item:
val = item[key]
log.info('%s = %s', key, val)
# Attivio returns network interfaces in form "lo - 127.0.0.1"
if key == 'networkInterface':
val = val.split()[0]
metric += '.{0}'.format(val)
value = item['values'][0]
log.info('value = %s\n', value)
if self.precision and isFloat(value):
# leaving as string will result in lots of trailing zeros
value = float('{value:.{precision}f}'.format(value=value, precision=self.precision))
if metric in metrics:
qquit('UNKNOWN', "duplicate metric '{metric}' discovered! {support_msg}"\
.format(metric=metric, support_msg=support_msg_api()))
metrics[metric] = value
return metrics
def parse_json(self, json_data):
if self.list_jobs:
jobs = json_data['jobs']
print('Jenkins Jobs:\n')
for job in jobs:
print(job['name'])
sys.exit(ERRORS['UNKNOWN'])
# this method has a nicer job not found error message
# but it's less efficient if querying a Jenkins server with lots of jobs
#job = None
#for _ in jobs:
# if _['name'].lower() == self.job.lower():
# job = _
# break
#if not job:
# raise CriticalError("job '{job}' not found. See --list to see available jobs".format(job=self.job))
health_report = json_data['healthReport']
if not health_report:
raise UnknownError(
"no health report found for job '{job}' (not built yet?)".
format(job=self.job))
health_report = health_report[0]
score = health_report['score']
if not isFloat(score):
raise UnknownError(
"non-numeric score returned in health report for job '{job}'".
format(job=self.job))
score = float(score)
description = health_report['description']
self.msg += "'{job}' health report score = {score}".format(
job=self.job, score=score)
self.check_thresholds(score)
#self.msg += ", description: '{description}'".format(description=description)
self.msg += ", {description}".format(description=description)
self.msg += ' | health_report_score={score}%{thresholds}'\
.format(score=score, thresholds=self.get_perf_thresholds(boundary='lower'))
def create_perfdata(self):
perfdata = ''
if isFloat(self._read_value):
perfdata = " | '{0}'={1}{2} query_time={3:.7f}s".format(
self.key, self._read_value, self.get_perf_thresholds(), self._read_timing)
return perfdata