Rewrite BucketCollector

This was a bit unweildy for what I wanted: in particular, I wanted to assign
each measurement straight into a bucket, rather than storing an intermediate
Counter which didn't do any bucketing at all.

I've replaced it with something that is hopefully a bit easier to use.

(I'm not entirely sure what the difference between a HistogramMetricFamily and
a GaugeHistogramMetricFamily is, but given our counters can go down as well as
up the latter *sounds* more accurate?)

synapse/metrics/__init__.py

@@ -15,6 +15,7 @@
 
 import functools
 import gc
+import itertools
 import logging
 import os
 import platform
@@ -27,8 +28,8 @@ from prometheus_client import Counter, Gauge, Histogram
 from prometheus_client.core import (
     REGISTRY,
     CounterMetricFamily,
+    GaugeHistogramMetricFamily,
     GaugeMetricFamily,
-    HistogramMetricFamily,
 )
 
 from twisted.internet import reactor
@@ -46,7 +47,7 @@ logger = logging.getLogger(__name__)
 METRICS_PREFIX = "/_synapse/metrics"
 
 running_on_pypy = platform.python_implementation() == "PyPy"
-all_gauges = {}  # type: Dict[str, Union[LaterGauge, InFlightGauge, BucketCollector]]
+all_gauges = {}  # type: Dict[str, Union[LaterGauge, InFlightGauge]]
 
 HAVE_PROC_SELF_STAT = os.path.exists("/proc/self/stat")
 
@@ -205,63 +206,83 @@ class InFlightGauge:
         all_gauges[self.name] = self
 
 
-@attr.s(slots=True, hash=True)
-class BucketCollector:
-    """
-    Like a Histogram, but allows buckets to be point-in-time instead of
-    incrementally added to.
+class GaugeBucketCollector:
+    """Like a Histogram, but the buckets are Gauges which are updated atomically.
 
-    Args:
-        name (str): Base name of metric to be exported to Prometheus.
-        data_collector (callable -> dict): A synchronous callable that
-            returns a dict mapping bucket to number of items in the
-            bucket. If these buckets are not the same as the buckets
-            given to this class, they will be remapped into them.
-        buckets (list[float]): List of floats/ints of the buckets to
-            give to Prometheus. +Inf is ignored, if given.
+    The data is updated by calling `update_data` with an iterable of measurements.
 
+    We assume that the data is updated less frequently than it is reported to
+    Prometheus, and optimise for that case.
     """
 
-    name = attr.ib()
-    data_collector = attr.ib()
-    buckets = attr.ib()
+    __slots__ = ("_name", "_documentation", "_bucket_bounds", "_metric")
+
+    def __init__(
+        self,
+        name: str,
+        documentation: str,
+        buckets: Iterable[float],
+        registry=REGISTRY,
+    ):
+        """
+        Args:
+            name: base name of metric to be exported to Prometheus. (a _bucket suffix
+               will be added.)
+            documentation: help text for the metric
+            buckets: The top bounds of the buckets to report
+            registry: metric registry to register with
+        """
+        self._name = name
+        self._documentation = documentation
+
+        # the tops of the buckets
+        self._bucket_bounds = [float(b) for b in buckets]
+        if self._bucket_bounds != sorted(self._bucket_bounds):
+            raise ValueError("Buckets not in sorted order")
+
+        if self._bucket_bounds[-1] != float("inf"):
+            self._bucket_bounds.append(float("inf"))
+
+        self._metric = self._values_to_metric([])
+        registry.register(self)
 
     def collect(self):
+        yield self._metric
 
-        # Fetch the data -- this must be synchronous!
-        data = self.data_collector()
+    def update_data(self, values: Iterable[float]):
+        """Update the data to be reported by the metric
 
-        buckets = {}  # type: Dict[float, int]
+        The existing data is cleared, and each measurement in the input is assigned
+        to the relevant bucket.
+        """
+        self._metric = self._values_to_metric(values)
 
-        res = []
-        for x in data.keys():
-            for i, bound in enumerate(self.buckets):
-                if x <= bound:
-                    buckets[bound] = buckets.get(bound, 0) + data[x]
+    def _values_to_metric(self, values: Iterable[float]) -> GaugeHistogramMetricFamily:
+        total = 0.0
+        bucket_values = [0 for _ in self._bucket_bounds]
 
-        for i in self.buckets:
-            res.append([str(i), buckets.get(i, 0)])
+        for v in values:
+            # assign each value to a bucket
+            for i, bound in enumerate(self._bucket_bounds):
+                if v <= bound:
+                    bucket_values[i] += 1
+                    break
 
-        res.append(["+Inf", sum(data.values())])
+            # ... and increment the sum
+            total += v
 
-        metric = HistogramMetricFamily(
-            self.name, "", buckets=res, sum_value=sum(x * y for x, y in data.items())
+        # now, aggregate the bucket values so that they count the number of entries in
+        # that bucket or below.
+        accumulated_values = itertools.accumulate(bucket_values)
+
+        return GaugeHistogramMetricFamily(
+            self._name,
+            self._documentation,
+            buckets=list(
+                zip((str(b) for b in self._bucket_bounds), accumulated_values)
+            ),
+            gsum_value=total,
         )
-        yield metric
-
-    def __attrs_post_init__(self):
-        self.buckets = [float(x) for x in self.buckets if x != "+Inf"]
-        if self.buckets != sorted(self.buckets):
-            raise ValueError("Buckets not sorted")
-
-        self.buckets = tuple(self.buckets)
-
-        if self.name in all_gauges.keys():
-            logger.warning("%s already registered, reregistering" % (self.name,))
-            REGISTRY.unregister(all_gauges.pop(self.name))
-
-        REGISTRY.register(self)
-        all_gauges[self.name] = self
 
 
 #

synapse/storage/databases/main/metrics.py

@@ -12,10 +12,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-import typing
-from collections import Counter
 
-from synapse.metrics import BucketCollector
+from synapse.metrics import GaugeBucketCollector
 from synapse.metrics.background_process_metrics import run_as_background_process
 from synapse.storage._base import SQLBaseStore
 from synapse.storage.database import DatabasePool
@@ -23,6 +21,14 @@ from synapse.storage.databases.main.event_push_actions import (
     EventPushActionsWorkerStore,
 )
 
+# Collect metrics on the number of forward extremities that exist.
+_extremities_collecter = GaugeBucketCollector(
+    "synapse_forward_extremities",
+    "Number of rooms on the server with the given number of forward extremities"
+    " or fewer",
+    buckets=[1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500],
+)
+
 
 class ServerMetricsStore(EventPushActionsWorkerStore, SQLBaseStore):
     """Functions to pull various metrics from the DB, for e.g. phone home
@@ -32,18 +38,6 @@ class ServerMetricsStore(EventPushActionsWorkerStore, SQLBaseStore):
     def __init__(self, database: DatabasePool, db_conn, hs):
         super().__init__(database, db_conn, hs)
 
-        # Collect metrics on the number of forward extremities that exist.
-        # Counter of number of extremities to count
-        self._current_forward_extremities_amount = (
-            Counter()
-        )  # type: typing.Counter[int]
-
-        BucketCollector(
-            "synapse_forward_extremities",
-            lambda: self._current_forward_extremities_amount,
-            buckets=[1, 2, 3, 5, 7, 10, 15, 20, 50, 100, 200, 500, "+Inf"],
-        )
-
         # Read the extrems every 60 minutes
         def read_forward_extremities():
             # run as a background process to make sure that the database transactions
@@ -65,7 +59,7 @@ class ServerMetricsStore(EventPushActionsWorkerStore, SQLBaseStore):
             return txn.fetchall()
 
         res = await self.db_pool.runInteraction("read_forward_extremities", fetch)
-        self._current_forward_extremities_amount = Counter([x[0] for x in res])
+        _extremities_collecter.update_data(x[0] for x in res)
 
     async def count_daily_messages(self):
         """

tests/storage/test_event_metrics.py

@@ -52,14 +52,14 @@ class ExtremStatisticsTestCase(HomeserverTestCase):
         self.reactor.advance(60 * 60 * 1000)
         self.pump(1)
 
-        items = set(
+        items = list(
             filter(
                 lambda x: b"synapse_forward_extremities_" in x,
-                generate_latest(REGISTRY).split(b"\n"),
+                generate_latest(REGISTRY, emit_help=False).split(b"\n"),
             )
         )
 
-        expected = {
+        expected = [
             b'synapse_forward_extremities_bucket{le="1.0"} 0.0',
             b'synapse_forward_extremities_bucket{le="2.0"} 2.0',
             b'synapse_forward_extremities_bucket{le="3.0"} 2.0',
@@ -72,9 +72,12 @@ class ExtremStatisticsTestCase(HomeserverTestCase):
             b'synapse_forward_extremities_bucket{le="100.0"} 3.0',
             b'synapse_forward_extremities_bucket{le="200.0"} 3.0',
             b'synapse_forward_extremities_bucket{le="500.0"} 3.0',
-            b'synapse_forward_extremities_bucket{le="+Inf"} 3.0',
-            b"synapse_forward_extremities_count 3.0",
-            b"synapse_forward_extremities_sum 10.0",
-        }
-
+            # per https://docs.google.com/document/d/1KwV0mAXwwbvvifBvDKH_LU1YjyXE_wxCkHNoCGq1GX0/edit#heading=h.wghdjzzh72j9,
+            # "inf" is valid: "this includes variants such as inf"
+            b'synapse_forward_extremities_bucket{le="inf"} 3.0',
+            b"# TYPE synapse_forward_extremities_gcount gauge",
+            b"synapse_forward_extremities_gcount 3.0",
+            b"# TYPE synapse_forward_extremities_gsum gauge",
+            b"synapse_forward_extremities_gsum 10.0",
+        ]
         self.assertEqual(items, expected)