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author | Paul "LeoNerd" Evans <paul@matrix.org> | 2015-03-04 19:22:14 +0000 |
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committer | Paul "LeoNerd" Evans <paul@matrix.org> | 2015-03-12 16:24:50 +0000 |
commit | 72625f2f4d633e9fe59e61bb371a118927e5c66c (patch) | |
tree | 61bd096a6e62897622b3b2d0bba6c86da68d880f /synapse/metrics/metric.py | |
parent | Delete a couple of TODO markers of monitoring stats now done (diff) | |
download | synapse-72625f2f4d633e9fe59e61bb371a118927e5c66c.tar.xz |
Initial hack at a TimerMetric; for storing counts + duration accumulators
Diffstat (limited to 'synapse/metrics/metric.py')
-rw-r--r-- | synapse/metrics/metric.py | 48 |
1 files changed, 48 insertions, 0 deletions
diff --git a/synapse/metrics/metric.py b/synapse/metrics/metric.py index 4df5ebfda6..7175881941 100644 --- a/synapse/metrics/metric.py +++ b/synapse/metrics/metric.py @@ -14,6 +14,15 @@ # limitations under the License. +from itertools import chain + + +# TODO(paul): I can't believe Python doesn't have one of these +def map_concat(func, items): + # flatten a list-of-lists + return list(chain.from_iterable(map(func, items))) + + class BaseMetric(object): def __init__(self, name, keys=[]): @@ -87,6 +96,45 @@ class CallbackMetric(BaseMetric): return ["%s{%s} %d" % (self.name, self._render_key(k), value[k]) for k in sorted(value.keys())] + +class TimerMetric(CounterMetric): + """A combination of an event counter and a time accumulator, which counts + both the number of events and how long each one takes. + + TODO(paul): Try to export some heatmap-style stats? + """ + + def __init__(self, *args, **kwargs): + super(TimerMetric, self).__init__(*args, **kwargs) + + self.times = {} + + # Scalar metrics are never empty + if self.is_scalar(): + self.times[()] = 0 + + def inc_time(self, msec, *values): + self.inc(*values) + + if values not in self.times: + self.times[values] = msec + else: + self.times[values] += msec + + def render(self): + if self.is_scalar(): + return ["%s:count %d" % (self.name, self.counts[()]), + "%s:msec %d" % (self.name, self.times[()])] + + def render_item(k): + keystr = self._render_key(k) + + return ["%s{%s}:count %d" % (self.name, keystr, self.counts[k]), + "%s{%s}:msec %d" % (self.name, keystr, self.times[k])] + + return map_concat(render_item, sorted(self.counts.keys())) + + class CacheMetric(object): """A combination of two CounterMetrics, one to count cache hits and one to count misses, and a callback metric to yield the current size. |