性能计数器¶
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 Prometheus 模块.
数据集¶
数值被分组并命名为不同的集,通常表示一个子系统或者一个子系统例程。例如,内部的 throttle
机制会报告它如何节流,其各例程的命名类似如下:
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
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
}
}