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Tracing SDK

Status: Stable, except where otherwise specified

Table of Contents

Tracer Provider

Tracer Creation

It SHOULD only be possible to create Tracer instances through a TracerProvider (see API).

The TracerProvider MUST implement the Get a Tracer API.

The input provided by the user MUST be used to create an InstrumentationScope instance which is stored on the created Tracer.

Status: Development - The TracerProvider MUST compute the relevant TracerConfig using the configured TracerConfigurator, and create a Tracer whose behavior conforms to that TracerConfig.

Configuration

Configuration ( i.e., SpanProcessors, IdGenerator, SpanLimits, Sampler, and (Development) TracerConfigurator) MUST be owned by the TracerProvider. The configuration MAY be applied at the time of TracerProvider creation if appropriate.

The TracerProvider MAY provide methods to update the configuration. If configuration is updated (e.g., adding a SpanProcessor), the updated configuration MUST also apply to all already returned Tracers (i.e. it MUST NOT matter whether a Tracer was obtained from the TracerProvider before or after the configuration change). Note: Implementation-wise, this could mean that Tracer instances have a reference to their TracerProvider and access configuration only via this reference.

TracerConfigurator

Status: Development

A TracerConfigurator is a function which computes the TracerConfig for a Tracer.

The function MUST accept the following parameter:

The function MUST return the relevant TracerConfig, or some signal indicating that the default TracerConfig should be used. This signal MAY be nil, null, empty, or an instance of the default TracerConfig depending on what is idiomatic in the language.

This function is called when a Tracer is first created, and for each outstanding Tracer when a TracerProvider's TracerConfigurator is updated (if updating is supported). Therefore, it is important that it returns quickly.

TracerConfigurator is modeled as a function to maximize flexibility. However, implementations MAY provide shorthand or helper functions to accommodate common use cases:

  • Select one or more Tracers by name, with exact match or pattern matching.
  • Disable one or more specific Tracers.
  • Disable all Tracers, and selectively enable one or more specific Tracers.

Shutdown

This method provides a way for provider to do any cleanup required.

Shutdown MUST be called only once for each TracerProvider instance. After the call to Shutdown, subsequent attempts to get a Tracer are not allowed. SDKs SHOULD return a valid no-op Tracer for these calls, if possible.

Shutdown SHOULD provide a way to let the caller know whether it succeeded, failed or timed out.

Shutdown SHOULD complete or abort within some timeout. Shutdown can be implemented as a blocking API or an asynchronous API which notifies the caller via a callback or an event. OpenTelemetry client authors can decide if they want to make the shutdown timeout configurable.

Shutdown MUST be implemented at least by invoking Shutdown within all internal processors.

ForceFlush

This method provides a way for provider to immediately export all spans that have not yet been exported for all the internal processors.

ForceFlush SHOULD provide a way to let the caller know whether it succeeded, failed or timed out.

ForceFlush SHOULD complete or abort within some timeout. ForceFlush can be implemented as a blocking API or an asynchronous API which notifies the caller via a callback or an event. OpenTelemetry client authors can decide if they want to make the flush timeout configurable.

ForceFlush MUST invoke ForceFlush on all registered SpanProcessors.

Tracer

Status: Development - Tracer MUST behave according to the TracerConfig computed during Tracer creation. If the TracerProvider supports updating the TracerConfigurator, then upon update the Tracer MUST be updated to behave according to the new TracerConfig.

TracerConfig

Status: Development

A TracerConfig defines various configurable aspects of a Tracer's behavior. It consists of the following parameters:

  • disabled: A boolean indication of whether the Tracer is enabled.

    If not explicitly set, the disabled parameter SHOULD default to false ( i.e. Tracers are enabled by default).

    If a Tracer is disabled, it MUST behave equivalently to a No-op Tracer.

    The value of disabled MUST be used to resolve whether a Tracer is Enabled. If disabled is true, Enabled returns false. If disabled is false, Enabled returns true. It is not necessary for implementations to ensure that changes to disabled are immediately visible to callers of Enabled. I.e. atomic, volatile, synchronized, or equivalent memory semantics to avoid stale reads are discouraged to prioritize performance over immediate consistency.

Additional Span Interfaces

The API-level definition for Span's interface only defines write-only access to the span. This is good because instrumentations and applications are not meant to use the data stored in a span for application logic. However, the SDK needs to eventually read back the data in some locations. Thus, the SDK specification defines sets of possible requirements for Span-like parameters:

  • Readable span: A function receiving this as argument MUST be able to access all information that was added to the span, as listed in the API spec for Span. Note: Below, a few particular properties are called out for clarity, but for the complete list of required properties, the Span API spec is authoritative.

    A function receiving this as argument MUST be able to access the InstrumentationScope [since 1.10.0] and Resource information (implicitly) associated with the span. For backwards compatibility it MUST also be able to access the InstrumentationLibrary [deprecated since 1.10.0] having the same name and version values as the InstrumentationScope.

    A function receiving this as argument MUST be able to reliably determine whether the Span has ended (some languages might implement this by having an end timestamp of null, others might have an explicit hasEnded boolean).

    Counts for attributes, events and links dropped due to collection limits MUST be available for exporters to report as described in the exporters specification.

    As an exception to the authoritative set of span properties defined in the API spec, implementations MAY choose not to expose (and store) the full parent Context of the Span but they MUST expose at least the full parent SpanContext.

    A function receiving this as argument might not be able to modify the Span.

    Note: Typically this will be implemented with a new interface or (immutable) value type. In some languages SpanProcessors may have a different readable span type than exporters (e.g. a SpanData type might contain an immutable snapshot and a ReadableSpan interface might read information directly from the same underlying data structure that the Span interface manipulates).

  • Read/write span: A function receiving this as argument must have access to both the full span API as defined in the API-level definition for span's interface and additionally must be able to retrieve all information that was added to the span (as with readable span).

    It MUST be possible for functions being called with this to somehow obtain the same Span instance and type that the span creation API returned (or will return) to the user (for example, the Span could be one of the parameters passed to such a function, or a getter could be provided).

Sampling

Sampling is a mechanism to control the noise and overhead introduced by OpenTelemetry by reducing the number of samples of traces collected and sent to the backend.

Sampling may be implemented on different stages of a trace collection. The earliest sampling could happen before the trace is actually created, and the latest sampling could happen on the Collector, which is out of process.

The OpenTelemetry API has two properties responsible for the data collection:

  • IsRecording field of a Span. If false, the current Span discards all tracing data (attributes, events, status, etc.). Users can use this property to determine if collecting expensive trace data can be avoided. Span Processor MUST receive only those spans which have this field set to true. However, Span Exporter SHOULD NOT receive them unless the Sampled flag was also set.
  • Sampled flag in TraceFlags on SpanContext. This flag is propagated via the SpanContext to child Spans. For more details see the W3C Trace Context specification. This flag indicates that the Span has been sampled and will be exported. Span Exporters MUST receive those spans which have Sampled flag set to true and they SHOULD NOT receive the ones that do not.

The flag combination SampledFlag == false and IsRecording == true means that the current Span does record information, but most likely the child Span will not.

The flag combination SampledFlag == true and IsRecording == false could cause gaps in the distributed trace, and because of this the OpenTelemetry SDK MUST NOT allow this combination.

Recording Sampled reaction table

The following table summarizes the expected behavior for each combination of IsRecording and SampledFlag.

IsRecording Sampled Flag Span Processor receives Span? Span Exporter receives Span?
true true true true
true false true false
false true Not allowed Not allowed
false false false false

The SDK defines the interface Sampler as well as a set of built-in samplers and associates a Sampler with each [TracerProvider].

SDK Span creation

When asked to create a Span, the SDK MUST act as if doing the following in order:

  1. If there is a valid parent trace ID, use it. Otherwise generate a new trace ID (note: this must be done before calling ShouldSample, because it expects a valid trace ID as input).
  2. Query the Sampler's ShouldSample method (Note that the built-in ParentBasedSampler can be used to use the sampling decision of the parent, translating a set SampledFlag to RECORD and an unset one to DROP).
  3. Generate a new span ID for the Span, independently of the sampling decision. This is done so other components (such as logs or exception handling) can rely on a unique span ID, even if the Span is a non-recording instance.
  4. Create a span depending on the decision returned by ShouldSample: see description of ShouldSample's return value below for how to set IsRecording and Sampled on the Span, and the table above on whether to pass the Span to SpanProcessors. A non-recording span MAY be implemented using the same mechanism as when a Span is created without an SDK installed or as described in wrapping a SpanContext in a Span.

Sampler

Sampler interface allows users to create custom samplers which will return a sampling SamplingResult based on information that is typically available just before the Span was created.

ShouldSample

Returns the sampling Decision for a Span to be created.

Required arguments:

  • Context with parent Span. The Span's SpanContext may be invalid to indicate a root span.
  • TraceId of the Span to be created. If the parent SpanContext contains a valid TraceId, they MUST always match.
  • Name of the Span to be created.
  • SpanKind of the Span to be created.
  • Initial set of Attributes of the Span to be created.
  • Collection of links that will be associated with the Span to be created. Typically useful for batch operations, see Links Between Spans.

Note: Implementations may "bundle" all or several arguments together in a single object.

Return value:

It produces an output called SamplingResult which contains:

  • A sampling Decision. One of the following enum values:
    • DROP - IsRecording will be false, the Span will not be recorded and all events and attributes will be dropped.
    • RECORD_ONLY - IsRecording will be true, but the Sampled flag MUST NOT be set.
    • RECORD_AND_SAMPLE - IsRecording will be true and the Sampled flag MUST be set.
  • A set of span Attributes that will also be added to the Span. The returned object must be immutable (multiple calls may return different immutable objects).
  • A Tracestate that will be associated with the Span through the new SpanContext. If the sampler returns an empty Tracestate here, the Tracestate will be cleared, so samplers SHOULD normally return the passed-in Tracestate if they do not intend to change it.

GetDescription

Returns the sampler name or short description with the configuration. This may be displayed on debug pages or in the logs. Example: "TraceIdRatioBased{0.000100}".

Description MAY change over time, for example, if the sampler supports dynamic configuration or otherwise adjusts its parameters. Callers SHOULD NOT cache the returned value.

Built-in samplers

OpenTelemetry supports a number of built-in samplers to choose from. The default sampler is ParentBased(root=AlwaysOn).

AlwaysOn

  • Returns RECORD_AND_SAMPLE always.
  • Description MUST be AlwaysOnSampler.

AlwaysOff

  • Returns DROP always.
  • Description MUST be AlwaysOffSampler.

TraceIdRatioBased

  • 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

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) because different language SDKs or even different versions of the same language SDKs may produce inconsistent results for the same input.

ParentBased

  • This is a sampler decorator. ParentBased helps distinguish between the following cases:
    • No parent (root span).
    • Remote parent (SpanContext.IsRemote() == true) with SampledFlag set
    • Remote parent (SpanContext.IsRemote() == true) with SampledFlag not set
    • Local parent (SpanContext.IsRemote() == false) with SampledFlag set
    • Local parent (SpanContext.IsRemote() == false) with SampledFlag not set

Required parameters:

  • root(Sampler) - Sampler called for spans with no parent (root spans)

Optional parameters:

  • remoteParentSampled(Sampler) (default: AlwaysOn)
  • remoteParentNotSampled(Sampler) (default: AlwaysOff)
  • localParentSampled(Sampler) (default: AlwaysOn)
  • localParentNotSampled(Sampler) (default: AlwaysOff)
Parent parent.isRemote() parent.IsSampled() Invoke sampler
absent n/a n/a root()
present true true remoteParentSampled()
present true false remoteParentNotSampled()
present false true localParentSampled()
present false false localParentNotSampled()

JaegerRemoteSampler

Jaeger remote sampler allows remotely controlling the sampling configuration for the SDKs. The sampling configuration is periodically loaded from the backend (see Remote Sampling API), where it can be managed by operators via configuration files or even automatically calculated (see Adaptive Sampling). The sampling configuration retrieved by the remote sampler can instruct it to use either a single sampling method for the whole service (e.g., TraceIdRatioBased), or different methods for different endpoints (span names), for example, sample /product endpoint at 10%, /admin endpoint at 100%, and never sample /metrics endpoint.

The full Protobuf definition can be found at jaegertracing/jaeger-idl/api_v2/sampling.proto.

The following configuration properties should be available when creating the sampler:

  • endpoint - address of a service that implements the Remote Sampling API, such as Jaeger Collector or OpenTelemetry Collector.
  • polling interval - polling interval for getting configuration from remote
  • initial sampler - initial sampler that is used before the first configuration is fetched

Span Limits

Span attributes MUST adhere to the common rules of attribute limits.

SDK Spans MAY also discard links and events that would increase the number of elements of each collection beyond the configured limit.

If the SDK implements the limits above it MUST provide a way to change these limits, via a configuration to the TracerProvider, by allowing users to configure individual limits like in the Java example bellow.

The name of the configuration options SHOULD be EventCountLimit and LinkCountLimit. The options MAY be bundled in a class, which then SHOULD be called SpanLimits. Implementations MAY provide additional configuration such as AttributePerEventCountLimit and AttributePerLinkCountLimit.

public final class SpanLimits {
  SpanLimits(int attributeCountLimit, int linkCountLimit, int eventCountLimit);

  public int getAttributeCountLimit();

  public int getAttributeCountPerEventLimit();

  public int getAttributeCountPerLinkLimit();

  public int getEventCountLimit();

  public int getLinkCountLimit();
}

Configurable parameters:

  • all common options applicable to attributes
  • EventCountLimit (Default=128) - Maximum allowed span event count;
  • LinkCountLimit (Default=128) - Maximum allowed span link count;
  • AttributePerEventCountLimit (Default=128) - Maximum allowed attribute per span event count;
  • AttributePerLinkCountLimit (Default=128) - Maximum allowed attribute per span link count;

There SHOULD be a message printed in the SDK's log to indicate to the user that an attribute, event, or link was discarded due to such a limit. To prevent excessive logging, the message MUST be printed at most once per span (i.e., not per discarded attribute, event, or link).

Id Generators

The SDK MUST by default randomly generate both the TraceId and the SpanId.

The SDK MUST provide a mechanism for customizing the way IDs are generated for both the TraceId and the SpanId.

The SDK MAY provide this functionality by allowing custom implementations of an interface like the java example below (name of the interface MAY be IdGenerator, name of the methods MUST be consistent with SpanContext), which provides extension points for two methods, one to generate a SpanId and one for TraceId.

public interface IdGenerator {
  byte[] generateSpanIdBytes();
  byte[] generateTraceIdBytes();
}

Additional IdGenerator implementing vendor-specific protocols such as AWS X-Ray trace id generator MUST NOT be maintained or distributed as part of the Core OpenTelemetry repositories.

Span processor

Span processor is an interface which allows hooks for span start and end method invocations. The span processors are invoked only when IsRecording is true.

Built-in span processors are responsible for batching and conversion of spans to exportable representation and passing batches to exporters.

Span processors can be registered directly on SDK TracerProvider and they are invoked in the same order as they were registered.

Each processor registered on TracerProvider is a start of pipeline that consist of span processor and optional exporter. SDK MUST allow to end each pipeline with individual exporter.

SDK MUST allow users to implement and configure custom processors.

The following diagram shows SpanProcessor's relationship to other components in the SDK:

  +-----+--------------+   +-------------------------+   +----------------+
  |     |              |   |                         |   |                |
  |     |              |   | Batching Span Processor |   |  SpanExporter  |
  |     |              +---> Simple Span Processor   +---> (OTLPExporter) |
  |     |              |   |                         |   |                |
  | SDK | Span.start() |   +-------------------------+   +----------------+
  |     | Span.end()   |
  |     |              |
  |     |              |
  |     |              |
  |     |              |
  +-----+--------------+

Interface definition

The SpanProcessor interface MUST declare the following methods:

The SpanProcessor interface SHOULD declare the following methods:

OnStart

OnStart is called when a span is started. This method is called synchronously on the thread that started the span, therefore it should not block or throw exceptions. If multiple SpanProcessors are registered, their OnStart callbacks are invoked in the order they have been registered.

Parameters:

  • span - a read/write span object for the started span. It SHOULD be possible to keep a reference to this span object and updates to the span SHOULD be reflected in it. For example, this is useful for creating a SpanProcessor that periodically evaluates/prints information about all active span from a background thread.
  • parentContext - the parent Context of the span that the SDK determined (the explicitly passed Context, the current Context or an empty Context if that was explicitly requested).

Returns: Void

OnEnding

Status: Development

OnEnding is called during the span End() operation. The end timestamp MUST have been computed (the OnEnding method duration is not included in the span duration). The Span object MUST still be mutable (i.e., SetAttribute, AddLink, AddEvent can be called) while OnEnding is called. This method MUST be called synchronously within the Span.End() API, therefore it should not block or throw an exception. If multiple SpanProcessors are registered, their OnEnding callbacks are invoked in the order they have been registered. The SDK MUST guarantee that the span can no longer be modified by any other thread before invoking OnEnding of the first SpanProcessor. From that point on, modifications are only allowed synchronously from within the invoked OnEnding callbacks. All registered SpanProcessor OnEnding callbacks are executed before any SpanProcessor's OnEnd callback is invoked.

Parameters:

Returns: Void

OnEnd(Span)

OnEnd is called after a span is ended (i.e., the end timestamp is already set). This method MUST be called synchronously within the Span.End() API, therefore it should not block or throw an exception.

Parameters:

  • Span - a readable span object for the ended span. Note: Even if the passed Span may be technically writable, since it's already ended at this point, modifying it is not allowed.

Returns: Void

Shutdown()

Shuts down the processor. Called when SDK is shut down. This is an opportunity for processor to do any cleanup required.

Shutdown SHOULD be called only once for each SpanProcessor instance. After the call to Shutdown, subsequent calls to OnStart, OnEnd, or ForceFlush are not allowed. SDKs SHOULD ignore these calls gracefully, if possible.

Shutdown SHOULD provide a way to let the caller know whether it succeeded, failed or timed out.

Shutdown MUST include the effects of ForceFlush.

Shutdown SHOULD complete or abort within some timeout. Shutdown can be implemented as a blocking API or an asynchronous API which notifies the caller via a callback or an event. OpenTelemetry client authors can decide if they want to make the shutdown timeout configurable.

ForceFlush()

This is a hint to ensure that any tasks associated with Spans for which the SpanProcessor had already received events prior to the call to ForceFlush SHOULD be completed as soon as possible, preferably before returning from this method.

In particular, if any SpanProcessor has any associated exporter, it SHOULD try to call the exporter's Export with all spans for which this was not already done and then invoke ForceFlush on it. The built-in SpanProcessors MUST do so. If a timeout is specified (see below), the SpanProcessor MUST prioritize honoring the timeout over finishing all calls. It MAY skip or abort some or all Export or ForceFlush calls it has made to achieve this goal.

ForceFlush SHOULD provide a way to let the caller know whether it succeeded, failed or timed out.

ForceFlush SHOULD only be called in cases where it is absolutely necessary, such as when using some FaaS providers that may suspend the process after an invocation, but before the SpanProcessor exports the completed spans.

ForceFlush SHOULD complete or abort within some timeout. ForceFlush can be implemented as a blocking API or an asynchronous API which notifies the caller via a callback or an event. OpenTelemetry client authors can decide if they want to make the flush timeout configurable.

Built-in span processors

The standard OpenTelemetry SDK MUST implement both simple and batch processors, as described below. Other common processing scenarios should be first considered for implementation out-of-process in OpenTelemetry Collector.

Simple processor

This is an implementation of SpanProcessor which passes finished spans and passes the export-friendly span data representation to the configured SpanExporter, as soon as they are finished.

The processor MUST synchronize calls to Span Exporter's Export to make sure that they are not invoked concurrently.

Configurable parameters:

  • exporter - the exporter where the spans are pushed.

Batching processor

This is an implementation of the SpanProcessor which create batches of finished spans and passes the export-friendly span data representations to the configured SpanExporter.

The processor MUST synchronize calls to Span Exporter's Export to make sure that they are not invoked concurrently.

The processor SHOULD export a batch when any of the following happens AND the previous export call has returned:

  • scheduledDelayMillis after the processor is constructed OR the first span is received by the span processor.
  • scheduledDelayMillis after the previous export timer ends, OR the previous export completes, OR the first span is added to the queue after the previous export timer ends or previous batch completes.
  • The queue contains maxExportBatchSize or more spans.
  • ForceFlush is called.

If the queue is empty when an export is triggered, the processor MAY export an empty batch OR skip the export and consider it to be completed immediately.

Configurable parameters:

  • exporter - the exporter where the spans are pushed.
  • maxQueueSize - the maximum queue size. After the size is reached spans are dropped. The default value is 2048.
  • scheduledDelayMillis - the maximum delay interval in milliseconds between two consecutive exports. The default value is 5000.
  • exportTimeoutMillis - how long the export can run before it is cancelled. The default value is 30000.
  • maxExportBatchSize - the maximum batch size of every export. It must be smaller or equal to maxQueueSize. If the queue reaches maxExportBatchSize a batch will be exported even if scheduledDelayMillis milliseconds have not elapsed. The default value is 512.

Span Exporter

Span Exporter defines the interface that protocol-specific exporters must implement so that they can be plugged into OpenTelemetry SDK and support sending of telemetry data.

The goal of the interface is to minimize burden of implementation for protocol-dependent telemetry exporters. The protocol exporter is expected to be primarily a simple telemetry data encoder and transmitter.

Each implementation MUST document the concurrency characteristics the SDK requires of the exporter.

Interface Definition

The exporter MUST support three functions: Export, Shutdown, and ForceFlush. In strongly typed languages typically there will be one separate Exporter interface per signal (SpanExporter, ...).

Export(batch)

Exports a batch of readable spans. Protocol exporters that will implement this function are typically expected to serialize and transmit the data to the destination.

Export() should not be be called concurrently with other Export calls for the same exporter instance.

Depending on the implementation the result of the export may be returned to the Processor not in the return value of the call to Export() but in a language specific way for signaling completion of an asynchronous task. This means that while an instance of an exporter should never have its Export() called concurrently it does not mean that the task of exporting can not be done concurrently. How this is done is outside the scope of this specification.

Export() MUST NOT block indefinitely, there MUST be a reasonable upper limit after which the call must time out with an error result (Failure).

Concurrent requests and retry logic is the responsibility of the exporter. The default SDK's Span Processors SHOULD NOT implement retry logic, as the required logic is likely to depend heavily on the specific protocol and backend the spans are being sent to. For example, the OpenTelemetry Protocol (OTLP) specification defines logic for both sending concurrent requests and retrying requests.

Parameters:

batch - a batch of readable spans. The exact data type of the batch is language specific, typically it is some kind of list, e.g. for spans in Java it will be typically Collection<SpanData>.

Returns: ExportResult:

The return of Export() is implementation specific. In what is idiomatic for the language the Exporter must send an ExportResult to the Processor. ExportResult has values of either Success or Failure:

  • Success - The batch has been successfully exported. For protocol exporters this typically means that the data is sent over the wire and delivered to the destination server.
  • Failure - exporting failed. The batch must be dropped. For example, this can happen when the batch contains bad data and cannot be serialized.

For example, in Java the return of Export() would be a Future which when completed returns the ExportResult object. While in Erlang the Exporter sends a message to the Processor with the ExportResult for a particular batch of spans.

Shutdown()

Shuts down the exporter. Called when SDK is shut down. This is an opportunity for exporter to do any cleanup required.

Shutdown should be called only once for each Exporter instance. After the call to Shutdown subsequent calls to Export are not allowed and should return a Failure result.

Shutdown should not block indefinitely (e.g. if it attempts to flush the data and the destination is unavailable). OpenTelemetry client authors can decide if they want to make the shutdown timeout configurable.

ForceFlush()

This is a hint to ensure that the export of any Spans the exporter has received prior to the call to ForceFlush SHOULD be completed as soon as possible, preferably before returning from this method.

ForceFlush SHOULD provide a way to let the caller know whether it succeeded, failed or timed out.

ForceFlush SHOULD only be called in cases where it is absolutely necessary, such as when using some FaaS providers that may suspend the process after an invocation, but before the exporter exports the completed spans.

ForceFlush SHOULD complete or abort within some timeout. ForceFlush can be implemented as a blocking API or an asynchronous API which notifies the caller via a callback or an event. OpenTelemetry client authors can decide if they want to make the flush timeout configurable.

Further Language Specialization

Based on the generic interface definition laid out above library authors must define the exact interface for the particular language.

Authors are encouraged to use efficient data structures on the interface boundary that are well suited for fast serialization to wire formats by protocol exporters and minimize the pressure on memory managers. The latter typically requires understanding of how to optimize the rapidly-generated, short-lived telemetry data structures to make life easier for the memory manager of the specific language. General recommendation is to minimize the number of allocations and use allocation arenas where possible, thus avoiding explosion of allocation/deallocation/collection operations in the presence of high rate of telemetry data generation.

Examples

These are examples on what the Exporter interface can look like in specific languages. Examples are for illustration purposes only. OpenTelemetry client authors are free to deviate from these provided that their design remain true to the spirit of Exporter concept.

Go SpanExporter Interface
type SpanExporter interface {
    Export(batch []ExportableSpan) ExportResult
    Shutdown()
}

type ExportResult struct {
    Code         ExportResultCode
    WrappedError error
}

type ExportResultCode int

const (
    Success ExportResultCode = iota
    Failure
)
Java SpanExporter Interface
public interface SpanExporter {
 public enum ResultCode {
   Success, Failure
 }

 ResultCode export(Collection<ExportableSpan> batch);
 void shutdown();
}