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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-27 18:24:20 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-27 18:24:20 +0000 |
commit | 483eb2f56657e8e7f419ab1a4fab8dce9ade8609 (patch) | |
tree | e5d88d25d870d5dedacb6bbdbe2a966086a0a5cf /doc/dev/perf_counters.rst | |
parent | Initial commit. (diff) | |
download | ceph-upstream.tar.xz ceph-upstream.zip |
Adding upstream version 14.2.21.upstream/14.2.21upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'doc/dev/perf_counters.rst')
-rw-r--r-- | doc/dev/perf_counters.rst | 198 |
1 files changed, 198 insertions, 0 deletions
diff --git a/doc/dev/perf_counters.rst b/doc/dev/perf_counters.rst new file mode 100644 index 00000000..2f49f772 --- /dev/null +++ b/doc/dev/perf_counters.rst @@ -0,0 +1,198 @@ +=============== + Perf counters +=============== + +The perf counters provide generic internal infrastructure for gauges and counters. The counted values can be both integer and float. There is also an "average" type (normally float) that combines a sum and num counter which can be divided to provide an average. + +The intention is that this data will be collected and aggregated by a tool like ``collectd`` or ``statsd`` and fed into a tool like ``graphite`` for graphing and analysis. Also, note the :doc:`../mgr/prometheus`. + +Access +------ + +The perf counter data is accessed via the admin socket. For example:: + + ceph daemon osd.0 perf schema + ceph daemon osd.0 perf dump + + +Collections +----------- + +The values are grouped into named collections, normally representing a subsystem or an instance of a subsystem. For example, the internal ``throttle`` mechanism reports statistics on how it is throttling, and each instance is named something like:: + + + throttle-msgr_dispatch_throttler-hbserver + throttle-msgr_dispatch_throttler-client + throttle-filestore_bytes + ... + + +Schema +------ + +The ``perf schema`` command dumps a json description of which values are available, and what their type is. Each named value as a ``type`` bitfield, with the following bits defined. + ++------+-------------------------------------+ +| bit | meaning | ++======+=====================================+ +| 1 | floating point value | ++------+-------------------------------------+ +| 2 | unsigned 64-bit integer value | ++------+-------------------------------------+ +| 4 | average (sum + count pair), where | ++------+-------------------------------------+ +| 8 | counter (vs gauge) | ++------+-------------------------------------+ + +Every value will have either bit 1 or 2 set to indicate the type +(float or integer). + +If bit 8 is set (counter), the value is monotonically increasing and +the reader may want to subtract off the previously read value to get +the delta during the previous interval. + +If bit 4 is set (average), there will be two values to read, a sum and +a count. If it is a counter, the average for the previous interval +would be sum delta (since the previous read) divided by the count +delta. Alternatively, dividing the values outright would provide the +lifetime average value. Normally these are used to measure latencies +(number of requests and a sum of request latencies), and the average +for the previous interval is what is interesting. + +Instead of interpreting the bit fields, the ``metric type`` has a +value of either ``guage`` or ``counter``, and the ``value type`` +property will be one of ``real``, ``integer``, ``real-integer-pair`` +(for a sum + real count pair), or ``integer-integer-pair`` (for a +sum + integer count pair). + +Here is an example of the schema output:: + + { + "throttle-bluestore_throttle_bytes": { + "val": { + "type": 2, + "metric_type": "gauge", + "value_type": "integer", + "description": "Currently available throttle", + "nick": "" + }, + "max": { + "type": 2, + "metric_type": "gauge", + "value_type": "integer", + "description": "Max value for throttle", + "nick": "" + }, + "get_started": { + "type": 10, + "metric_type": "counter", + "value_type": "integer", + "description": "Number of get calls, increased before wait", + "nick": "" + }, + "get": { + "type": 10, + "metric_type": "counter", + "value_type": "integer", + "description": "Gets", + "nick": "" + }, + "get_sum": { + "type": 10, + "metric_type": "counter", + "value_type": "integer", + "description": "Got data", + "nick": "" + }, + "get_or_fail_fail": { + "type": 10, + "metric_type": "counter", + "value_type": "integer", + "description": "Get blocked during get_or_fail", + "nick": "" + }, + "get_or_fail_success": { + "type": 10, + "metric_type": "counter", + "value_type": "integer", + "description": "Successful get during get_or_fail", + "nick": "" + }, + "take": { + "type": 10, + "metric_type": "counter", + "value_type": "integer", + "description": "Takes", + "nick": "" + }, + "take_sum": { + "type": 10, + "metric_type": "counter", + "value_type": "integer", + "description": "Taken data", + "nick": "" + }, + "put": { + "type": 10, + "metric_type": "counter", + "value_type": "integer", + "description": "Puts", + "nick": "" + }, + "put_sum": { + "type": 10, + "metric_type": "counter", + "value_type": "integer", + "description": "Put data", + "nick": "" + }, + "wait": { + "type": 5, + "metric_type": "gauge", + "value_type": "real-integer-pair", + "description": "Waiting latency", + "nick": "" + } + } + + +Dump +---- + +The actual dump is similar to the schema, except that average values are grouped. For example:: + + { + "throttle-msgr_dispatch_throttler-hbserver" : { + "get_or_fail_fail" : 0, + "get_sum" : 0, + "max" : 104857600, + "put" : 0, + "val" : 0, + "take" : 0, + "get_or_fail_success" : 0, + "wait" : { + "avgcount" : 0, + "sum" : 0 + }, + "get" : 0, + "take_sum" : 0, + "put_sum" : 0 + }, + "throttle-msgr_dispatch_throttler-client" : { + "get_or_fail_fail" : 0, + "get_sum" : 82760, + "max" : 104857600, + "put" : 2637, + "val" : 0, + "take" : 0, + "get_or_fail_success" : 0, + "wait" : { + "avgcount" : 0, + "sum" : 0 + }, + "get" : 2637, + "take_sum" : 0, + "put_sum" : 82760 + } + } + |