def run(self, accessor):
result = {}
start_cluster = 0
end_cluster = 0
for bucket, stats_info in stats_buffer.buckets.iteritems():
trend = []
values = stats_info[accessor["scale"]][accessor["counter"]]
timestamps = values["timestamp"]
timestamps = [x - timestamps[0] for x in timestamps]
nodeStats = values["nodeStats"]
samplesCount = values["samplesCount"]
for node, vals in nodeStats.iteritems():
a, b = util.linreg(timestamps, vals)
if b < 1:
trend.append((node, 0))
else:
start_val = b
start_cluster += b
end_val = a * timestamps[-1] + b
end_cluster += end_val
rate = (end_val * 1.0 / b - 1.0) * 100
trend.append((node, util.pretty_float(rate) + "%"))
result[bucket] = trend
if len(stats_buffer.buckets) > 0:
rate = (end_cluster * 1.0 / start_cluster - 1.0) * 100
result["cluster"] = util.pretty_float(rate) + "%"
return result
def run(self, accessor, scale, threshold=None):
result = {}
if threshold.has_key("DiskQueueDiagnosis"):
threshold_val = threshold["DiskQueueDiagnosis"][accessor["name"]]
else:
threshold_val = accessor["threshold"]
for bucket, stats_info in stats_buffer.buckets.iteritems():
trend_error = []
trend_warn = []
res = []
values = stats_info[scale][accessor["counter"]]
timestamps = values["timestamp"]
timestamps = [x - timestamps[0] for x in timestamps]
nodeStats = values["nodeStats"]
samplesCount = values["samplesCount"]
for node, vals in nodeStats.iteritems():
a, b = util.linreg(timestamps, vals)
if a > threshold_val["high"]:
symptom = accessor["symptom"] % (util.pretty_float(a, 3), threshold_val["high"])
trend_error.append({"node":node, "level":"red", "value":symptom})
res.append((node, util.pretty_float(a)))
elif a > threshold_val["low"]:
symptom = accessor["symptom"] % (util.pretty_float(a, 3), threshold_val["low"])
trend_warn.append({"node":node, "level":"yellow", "value":symptom})
res.append((node, util.pretty_float(a)))
if len(trend_error) > 0:
res.append(("error", trend_error))
if len(trend_warn) > 0:
res.append(("warn", trend_warn))
result[bucket] = res
return result
def run(self, accessor):
result = {}
for bucket, stats_info in stats_buffer.buckets.iteritems():
values = stats_info[accessor["scale"]][accessor["counter"]]
timestamps = values["timestamp"]
timestamps = [x - timestamps[0] for x in timestamps]
nodeStats = values["nodeStats"]
samplesCount = values["samplesCount"]
trend = []
for node, vals in nodeStats.iteritems():
a, b = util.linreg(timestamps, vals)
trend.append((node, a))
result[bucket] = trend
return result
def run(self, accessor):
result = {}
for bucket, stats_info in stats_buffer.buckets.iteritems():
values = stats_info[accessor["scale"]][accessor["counter"]]
timestamps = values["timestamp"]
timestamps = [x - timestamps[0] for x in timestamps]
nodeStats = values["nodeStats"]
samplesCount = values["samplesCount"]
trend = []
for node, vals in nodeStats.iteritems():
a, b = util.linreg(timestamps, vals)
trend.append((node, a))
result[bucket] = trend
return result
def run(self, accessor, scale, threshold=None):
result = {}
for bucket, stats_info in stats_buffer.buckets.iteritems():
values = stats_info[scale][accessor["counter"]]
timestamps = values["timestamp"]
timestamps = [x - timestamps[0] for x in timestamps]
nodeStats = values["nodeStats"]
samplesCount = values["samplesCount"]
for node, vals in nodeStats.iteritems():
trend = 0
if len(vals):
trend, b = util.linreg(timestamps, vals)
if result.has_key(node):
result[node].append((bucket, trend))
else:
result[node] = [(bucket, trend)]
return result
def run(self, accessor, scale, threshold=None):
result = {}
for bucket, stats_info in stats_buffer.buckets.iteritems():
values = stats_info[scale][accessor["counter"]]
timestamps = values["timestamp"]
timestamps = [x - timestamps[0] for x in timestamps]
nodeStats = values["nodeStats"]
samplesCount = values["samplesCount"]
trend = []
for node, vals in nodeStats.iteritems():
if len(vals) == 0:
trend.append((node, 0, 0))
else:
a, b = util.linreg(timestamps, vals)
trend.append((node, a, vals[-1]))
result[bucket] = trend
return result
def run(self, accessor):
result = {}
for bucket, stats_info in stats_buffer.buckets.iteritems():
trend_error = []
trend_warn = []
values = stats_info[accessor["scale"]][accessor["counter"]]
timestamps = values["timestamp"]
timestamps = [x - timestamps[0] for x in timestamps]
nodeStats = values["nodeStats"]
samplesCount = values["samplesCount"]
for node, vals in nodeStats.iteritems():
a, b = util.linreg(timestamps, vals)
if a > accessor["threshold"]["high"]:
trend_error.append({"node":node, "level":"red", "value":a})
elif a > accessor["threshold"]["low"]:
trend_warn.append({"node":node, "level":"yellow", "value":a})
if len(trend_error) > 0:
result[bucket] = {"error" : trend_error}
if len(trend_warn) > 0:
result[bucket] = {"warn" : trend_warn}
return result
def run(self, accessor):
result = {}
for bucket, stats_info in stats_buffer.buckets.iteritems():
trend_error = []
trend_warn = []
values = stats_info[accessor["scale"]][accessor["counter"]]
timestamps = values["timestamp"]
timestamps = [x - timestamps[0] for x in timestamps]
nodeStats = values["nodeStats"]
samplesCount = values["samplesCount"]
for node, vals in nodeStats.iteritems():
a, b = util.linreg(timestamps, vals)
if a > accessor["threshold"]["high"]:
trend_error.append({"node":node, "level":"red", "value":a})
elif a > accessor["threshold"]["low"]:
trend_warn.append({"node":node, "level":"yellow", "value":a})
if len(trend_error) > 0:
result[bucket] = {"error" : trend_error}
if len(trend_warn) > 0:
result[bucket] = {"warn" : trend_warn}
return result