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OpenTelemetry TraceIdRatioBased sampler requirements following OTEP 235 #4166

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OpenTelemetry trace SDK requirements for probability sampling followi…
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74 changes: 39 additions & 35 deletions specification/trace/sdk.md
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,9 @@ linkTitle: SDK
+ [AlwaysOn](#alwayson)
+ [AlwaysOff](#alwaysoff)
+ [TraceIdRatioBased](#traceidratiobased)
- [Requirements for `TraceIdRatioBased` sampler algorithm](#requirements-for-traceidratiobased-sampler-algorithm)
- [`TraceIdRatioBased` sampler configuration](#traceidratiobased-sampler-configuration)
- [`TraceIdRatioBased` sampler algorithm](#traceidratiobased-sampler-algorithm)
- [`TraceIdRatioBased` sampler description](#traceidratiobased-sampler-description)
+ [ParentBased](#parentbased)
+ [JaegerRemoteSampler](#jaegerremotesampler)
- [Span Limits](#span-limits)
Expand Down Expand Up @@ -378,6 +380,7 @@ The default sampler is `ParentBased(root=AlwaysOn)`.

* Returns `RECORD_AND_SAMPLE` always.
* Description MUST be `AlwaysOnSampler`.
* OpenTelemetry TraceState SHOULD include `th:0`.

#### AlwaysOff

Expand All @@ -386,40 +389,41 @@ The default sampler is `ParentBased(root=AlwaysOn)`.

#### TraceIdRatioBased
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* The `TraceIdRatioBased` MUST ignore the parent `SampledFlag`. To respect the
parent `SampledFlag`, the `TraceIdRatioBased` should be used as a delegate of
the `ParentBased` sampler specified below.
* Description MUST return a string of the form `"TraceIdRatioBased{RATIO}"`
with `RATIO` replaced with the Sampler instance's trace sampling ratio
represented as a decimal number. The precision of the number SHOULD follow
implementation language standards and SHOULD be high enough to identify when
Samplers have different ratios. For example, if a TraceIdRatioBased Sampler
had a sampling ratio of 1 to every 10,000 spans it COULD return
`"TraceIdRatioBased{0.000100}"` as its description.

TODO: Add details about how the `TraceIdRatioBased` is implemented as a function
of the `TraceID`. [#1413](https://github.com/open-telemetry/opentelemetry-specification/issues/1413)

##### Requirements for `TraceIdRatioBased` sampler algorithm

* The sampling algorithm MUST be deterministic. A trace identified by a given
`TraceId` is sampled or not independent of language, time, etc. To achieve this,
implementations MUST use a deterministic hash of the `TraceId` when computing
the sampling decision. By ensuring this, running the sampler on any child `Span`
will produce the same decision.
* A `TraceIdRatioBased` sampler with a given sampling rate MUST also sample all
traces that any `TraceIdRatioBased` sampler with a lower sampling rate would
sample. This is important when a backend system may want to run with a higher
sampling rate than the frontend system, this way all frontend traces will
still be sampled and extra traces will be sampled on the backend only.
* **WARNING:** Since the exact algorithm is not specified yet (see TODO above),
there will probably be changes to it in any language SDK once it is, which
would break code that relies on the algorithm results.
Only the configuration and creation APIs can be considered stable.
It is recommended to use this sampler algorithm only for root spans
(in combination with [`ParentBased`](#parentbased)) because different language
SDKs or even different versions of the same language SDKs may produce inconsistent
results for the same input.
The `TraceIdRatioBased` sampler implements simple, ratio-based probability sampling using randomness features specified in the [W3C Trace Context Level 2][W3CCONTEXTMAIN] Candidate Recommendation.
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OpenTelemetry follows W3C Trace Context Level 2, which specifies 56 bits of randomness, in making use of 56 bits of information for probabilistic sampling decisions.
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[OpenTelemetry defines consistent probability sampling using 56 bits of randomness][CONSISTENTSAMPLING].

The `TraceIdRatioBased` sampler MUST ignore the parent `SampledFlag`.
For respecting the parent `SampledFlag`, see the `ParentBased` sampler specified below.
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[W3CCONTEXTMAIN]: https://www.w3.org/TR/trace-context-2

##### `TraceIdRatioBased` sampler configuration

The `TraceIdRatioBased` sampler is typically configured using a 32-bit or 64-bit floating point number to express the sampling ratio.
The minimum valid sampling ratio is `2**-56`, and the maximum valid sampling ratio is 1.0.
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From an input sampling ratio, a rejection threshold value is calculated; see [consistent-probability sampler requirements][CONSISTENTSAMPLING] for details on converting sampling ratios into thresholds with variable precision.

[CONSISTENTSAMPLING]: ./tracestate-probability-sampling.md

##### `TraceIdRatioBased` sampler algorithm

A Trace configured with sampling threshold `T`, a 56-bit unsigned number corresponding with the sampling ratio, has `ShouldSample()` called for a trace having randomness value `R`, a 56-bit unsigned random number.
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* If randomness value (R) is less than rejection threshold (T), meaning when (R < T), return `RECORD_AND_SAMPLE`, otherwise, return `DROP`.
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* When (R < T), the OpenTelemetry TraceState SHOULD be modified to include the key-value `th:T` for rejection threshold value (T), as specified for the [OpenTelemetry TraceState `th` sub-key][TRACESTATEHANDLING].

[TRACESTATEHANDLING]: ./tracestate-handling.md#sampling-threshold-value-th

##### `TraceIdRatioBased` sampler description

The `TraceIdRatioBased` GetDescription MUST return a string of the form `"TraceIdRatioBased{RATIO}"`
with `RATIO` replaced with the Sampler instance's trace sampling ratio
represented as a decimal number. The precision of the number SHOULD follow
implementation language standards and SHOULD be high enough to identify when
Samplers have different ratios. For example, if a TraceIdRatioBased Sampler
had a sampling ratio of 1 to every 10,000 spans it could return
`"TraceIdRatioBased{0.000100}"` as its description.
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#### ParentBased

Expand Down
55 changes: 55 additions & 0 deletions specification/trace/tracestate-handling.md
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,21 @@ linkTitle: TraceState

**Status**: [Development](../document-status.md)

<details>
<summary>Table of Contents</summary>

<!-- toc -->

- [Key](#key)
- [Value](#value)
- [Setting values](#setting-values)
- [Pre-defined OpenTelemetry sub-keys](#pre-defined-opentelemetry-sub-keys)
* [Sampling threshold value `th`](#sampling-threshold-value-th)

<!-- tocstop -->

</details>

In alignment to the [TraceContext](https://www.w3.org/TR/trace-context/) specification, this section uses the
Augmented Backus-Naur Form (ABNF) notation of [RFC5234](https://www.w3.org/TR/trace-context/#bib-rfc5234),
including the DIGIT rule in that document.
Expand Down Expand Up @@ -83,3 +98,43 @@ if ok {
// traceState was not updated.
}
```

## Pre-defined OpenTelemetry sub-keys

The following values have been defined by OpenTelemetry.

### Sampling threshold value `th`

The OpenTelemetry TraceState `th` sub-key defines a sampling threshold, which conveys effective sampling probability.
Valid values of the `th` sub-fields include between 1 and 14 hexadecimal digits.

```
hexdigit = DIGIT ; A-F ; a-f
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```

To decode the threshold from the OpenTelemetry TraceState `th` value, first extend the value with trailing zeros to make 14 digits.
Then, parse the 14-digit value as a 56-bit unsigned number, yielding a rejection threshold.

OpenTelemetry defines consistent sampling in terms of a 56-bit trace randomness value compared with the 56-bit rejection threshold.
When the randomness value is less than the rejection threshold, the trace is not sampled.
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The threshold value `0` indicates that no traces are being rejected, corresponding with 100% sampling.
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For example, the following TraceState value identifies a trace with 100% sampling:

```
tracestate: ot=th:0
```

In sampling, the term _adjusted count_ refers to the effective number of items represented by a sampled item of telemetry.
To calculate sampling probability from the rejection threshold, define a constant `MaxAdjustedCount` equal to 2^56, the number of distinct 56-bit values.
The sampling probability is defined:

```
Probability = (MaxAdjustedCount - Threshold) / MaxAdjustedCount
```

The adjusted count of a span is the inverse of its sampling probability, which is derived from the rejection threshold:
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```
AdjustedCount = MaxAdjustedCount / (MaxAdjustedCount - Threshold)
```
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