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tci-gateway-module
Grpc
Commits
fb461bab
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fb461bab
authored
8 years ago
by
Alistair Veitch
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src/proto/census/census.options
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src/proto/census/census.proto
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google.census.Tag.key max_size:255
google.census.Tag.value max_size:255
google.census.View.tag_keys max_count 15
\ No newline at end of file
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src/proto/census/census.proto
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// Copyright 2016, Google Inc.
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above
// copyright notice, this list of conditions and the following disclaimer
// in the documentation and/or other materials provided with the
// distribution.
// * Neither the name of Google Inc. nor the names of its
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
syntax
=
"proto3"
;
package
google
.
census
;
// All the census protos.
//
// Nomenclature note: capitalized names below (like Metric) are protos.
//
// Census lets you define a Metric - something which can be measured, like the
// latency of an RPC, the number of CPU cycles spent on an operation, or
// anything else you care to measure. You can record individual instances of
// measurements (a double value) for every metric of interest. These
// individual measurements are aggregated together into an Aggregation. There
// are two Aggregation types available: Distribution (describes the
// distribution of all measurements, possibly with a histogram) and
// IntervalStats (the count and mean of measurements across specified time
// periods). An Aggregation is described by an AggregationDescriptor.
//
// You can define how your stats are broken down by Tag values and which
// Aggregations to use through a View. The corresponding combination of
// Metric/View/Aggregation which is available to census clients is called a
// ViewAggregation.
// The following two types are copied from
// google/protobuf/{duration,timestamp}.proto. Ideally, we would be able to
// import them, but this causes compilation issues on C-based systems
// (e.g. https://koti.kapsi.fi/jpa/nanopb/), which cannot process the C++
// headers generated from the standard protobuf distribution. See the relevant
// proto files for full documentation of these types.
message
Duration
{
// Signed seconds of the span of time. Must be from -315,576,000,000
// to +315,576,000,000 inclusive.
int64
seconds
=
1
;
// Signed fractions of a second at nanosecond resolution of the span
// of time. Durations less than one second are represented with a 0
// `seconds` field and a positive or negative `nanos` field. For durations
// of one second or more, a non-zero value for the `nanos` field must be
// of the same sign as the `seconds` field. Must be from -999,999,999
// to +999,999,999 inclusive.
int32
nanos
=
2
;
}
message
Timestamp
{
// Represents seconds of UTC time since Unix epoch
// 1970-01-01T00:00:00Z. Must be from from 0001-01-01T00:00:00Z to
// 9999-12-31T23:59:59Z inclusive.
int64
seconds
=
1
;
// Non-negative fractions of a second at nanosecond resolution. Negative
// second values with fractions must still have non-negative nanos values
// that count forward in time. Must be from 0 to 999,999,999
// inclusive.
int32
nanos
=
2
;
}
// Describes a metric
message
Metric
{
// name of metric, e.g. rpc_latency, cpu.
string
name
=
1
;
// More detailed description of the metric, used in documentation.
string
description
=
2
;
// Fundamental units of measurement supported by Census
// TODO(aveitch): expand this to include other S.I. units?
message
BasicUnit
{
enum
Measure
{
UNKNOWN
=
0
;
BITS
=
1
;
BYTES
=
2
;
SECS
=
3
;
CORES
=
4
;
MAX_UNITS
=
5
;
}
Measure
type
=
1
;
}
// MeasurementUnit lets you build compound units of the form
// 10^n * (A * B * ...) / (X * Y * ...),
// where the elements in the numerator and denominator are all BasicUnits. A
// MeasurementUnit must have at least one BasicUnit in its numerator.
//
// To specify multiplication in the numerator or denominator, simply specify
// multiple numerator or denominator fields. For example:
//
// - byte-seconds (i.e. bytes * seconds):
// numerator: BYTES
// numerator: SECS
//
// - events/sec^2 (i.e. rate of change of events/sec):
// numerator: COUNT
// denominator: SECS
// denominator: SECS
//
// To specify multiples (in power of 10) units, specify a non-zero prefix
// value, for example:
//
// - MB/s (i.e. megabytes / s):
// prefix: 6
// numerator: BYTES
// denominator: SECS
//
// - nanoseconds
// prefix: -9
// numerator: SECS
message
MeasurementUnit
{
int32
prefix
=
1
;
repeated
BasicUnit
numerator
=
2
;
repeated
BasicUnit
denominator
=
3
;
}
// The units in which the Metric value is reported.
MeasurementUnit
unit
=
3
;
// Metrics will be assigned an ID when registered. Invalid if <= 0.
int32
id
=
4
;
}
// An Aggregation summarizes a series of individual Metric measurements, an
// AggregationDescriptor describes an Aggregation.
message
AggregationDescriptor
{
// At most one set of options. If neither option is set, a default type
// of Distribution (without a histogram component) will be used.
oneof
options
{
// Defines the histogram bucket boundaries for Distributions.
BucketBoundaries
bucket_boundaries
=
1
;
// Defines the time windows to record for IntervalStats.
IntervalBoundaries
interval_boundaries
=
2
;
}
// A Distribution may optionally contain a histogram of the values in the
// population. The bucket boundaries for that histogram is described by
// `bucket_boundaries`.
//
// Describes histogram bucket boundaries. Defines `size(bounds) + 1` (= N)
// buckets (for size(bounds) >= 1; if size(bounds) == 0, then no histogram
// will be defined. The boundaries for bucket index i are:
//
// [-infinity, bounds[i]) for i == 0
// [bounds[i-1], bounds[i]) for 0 < i < N-2
// [bounds[i-1], +infinity) for i == N-1
//
// i.e. an underflow bucket (number 0), zero or more finite buckets (1
// through N - 2, and an overflow bucket (N - 1), with inclusive lower
// bounds and exclusive upper bounds.
//
// There must be at least one element in `bounds`. If `bounds` has only one
// element, there are no finite buckets, and that single element is the
// common boundary of the overflow and underflow buckets.
message
BucketBoundaries
{
// The values must be monotonically increasing.
repeated
double
bounds
=
1
;
}
// For Interval stats, describe the size of each window.
message
IntervalBoundaries
{
// For each time window, specify a duration in seconds.
repeated
double
window_size
=
1
;
}
}
// Distribution contains summary statistics for a population of values and,
// optionally, a histogram representing the distribution of those values across
// a specified set of histogram buckets, as defined in
// Aggregation.bucket_options.
//
// The summary statistics are the count, mean, sum of the squared deviation from
// the mean, the minimum, and the maximum of the set of population of values.
//
// Although it is not forbidden, it is generally a bad idea to include
// non-finite values (infinities or NaNs) in the population of values, as this
// will render the `mean` field meaningless.
message
Distribution
{
// The number of values in the population. Must be non-negative.
int64
count
=
1
;
// The arithmetic mean of the values in the population. If `count` is zero
// then this field must be zero.
double
mean
=
2
;
// Describes a range of population values.
message
Range
{
// The minimum of the population values.
double
min
=
1
;
// The maximum of the population values.
double
max
=
2
;
}
// The range of the population values. If `count` is zero, this field will not
// be defined.
Range
range
=
3
;
// A Distribution may optionally contain a histogram of the values in the
// population. The histogram is given in `bucket_count` as counts of values
// that fall into one of a sequence of non-overlapping buckets, as described
// by `AggregationDescriptor.options.bucket_boundaries`.
// The sum of the values in `bucket_counts` must equal the value in `count`.
//
// Bucket counts are given in order under the numbering scheme described
// above (the underflow bucket has number 0; the finite buckets, if any,
// have numbers 1 through N-2; the overflow bucket has number N-1).
//
// The size of `bucket_count` must be no greater than N as defined in
// `bucket_boundaries`.
//
// Any suffix of trailing zero bucket_count fields may be omitted.
repeated
int64
bucket_count
=
4
;
}
// Record summary stats over various time windows.
message
IntervalStats
{
// Summary statistic over a single time window.
message
Window
{
// The window duration.
Duration
window_size
=
1
;
// The number of measurements in this window.
int64
count
=
2
;
// The arithmetic mean of all measurements in the window.
double
mean
=
3
;
}
// Full set of windows for this metric.
repeated
Window
window
=
1
;
}
// A Tag: key-value pair.
message
Tag
{
string
key
=
1
;
string
value
=
2
;
}
// A View specifies an Aggregation and a set of tag keys. The Aggregation will
// be broken down by the unique set of matching tag values for each measurement.
message
View
{
// Name of view.
string
name
=
1
;
// More detailed description, for documentation purposes.
string
description
=
2
;
// ID of Metric to associate with this View.
int32
metric_id
=
3
;
// Aggregation type to associate with this View.
AggregationDescriptor
aggregation
=
4
;
// Tag keys to match with a given Metric. If no keys are specified, then all
// stats for the Metric are recorded. Keys must be unique.
repeated
string
tag_key
=
5
;
}
// An Aggregation summarizes a series of individual Metric measures.
message
Aggregation
{
// Name of this aggregation.
string
name
=
1
;
// More detailed description, for documentation purposes.
string
description
=
2
;
// The data for this Aggregation.
oneof
data
{
Distribution
distribution
=
3
;
IntervalStats
interval_stats
=
4
;
}
// Tags associated with this Aggregation.
repeated
Tag
tag
=
5
;
}
// A ViewAggregations represents all the Aggregations for a particular view.
message
ViewAggregations
{
// Aggregations - each will have a unique set of tag values for the tag_keys
// associated with the corresponding View.
repeated
Aggregation
aggregation
=
1
;
// Start and end timestamps over which the value was accumulated. These
// values are not relevant/defined for IntervalStats aggregations, which are
// always accumulated over a fixed time period.
Timestamp
start
=
2
;
Timestamp
end
=
3
;
}
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