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Original file line number Diff line number Diff line change
Expand Up @@ -58,20 +58,16 @@ public <T extends CoreSpan<T>> void setSamplingPriority(final T span) {

final RateSamplersByEnvAndService rates = serviceRates;
RateSampler sampler = rates.getSampler(env, serviceName);

if (sampler.sample(span)) {
span.setSamplingPriority(
PrioritySampling.SAMPLER_KEEP,
SAMPLING_AGENT_RATE,
sampler.getSampleRate(),
SamplingMechanism.AGENT_RATE);
} else {
span.setSamplingPriority(
PrioritySampling.SAMPLER_DROP,
SAMPLING_AGENT_RATE,
sampler.getSampleRate(),
SamplingMechanism.AGENT_RATE);
}
boolean sampled = sampler.sample(span);
int samplingPriority = sampled ? PrioritySampling.SAMPLER_KEEP : PrioritySampling.SAMPLER_DROP;

Boolean probabilitySamplingResult = rates.hasAgentRates() ? sampled : null;
span.setSamplingPriority(
samplingPriority,
SAMPLING_AGENT_RATE,
sampler.getSampleRate(),
SamplingMechanism.AGENT_RATE,
probabilitySamplingResult);
}

private <T extends CoreSpan<T>> String getSpanEnv(final T span) {
Expand Down Expand Up @@ -117,10 +113,12 @@ public void onResponse(
new TreeMap<>(String::compareToIgnoreCase);

RateSampler fallbackSampler = RateSamplersByEnvAndService.DEFAULT_SAMPLER;
boolean hasAgentRates = false;
for (final Map.Entry<String, Number> entry : newServiceRates.entrySet()) {
if (entry.getValue() == null) {
continue;
}
hasAgentRates = true;
double rate = entry.getValue().doubleValue();

EnvAndService envAndService = EnvAndService.fromString(entry.getKey());
Expand Down Expand Up @@ -161,7 +159,8 @@ public void onResponse(
if (canIncrease && anyCapped) {
lastCappedNanos = now;
}
serviceRates = new RateSamplersByEnvAndService(updatedEnvServiceRates, fallbackSampler);
serviceRates =
new RateSamplersByEnvAndService(updatedEnvServiceRates, fallbackSampler, hasAgentRates);
}

private static RateSampler createRateSampler(final double sampleRate) {
Expand All @@ -183,15 +182,24 @@ private static final class RateSamplersByEnvAndService {

private final Map<String, TreeMap<String, RateSampler>> envServiceRates;
private final RateSampler fallbackSampler;
// Whether this snapshot contains at least one non-null Agent-provided rate.
private final boolean hasAgentRates;

RateSamplersByEnvAndService() {
this(Collections.emptyMap(), DEFAULT_SAMPLER);
this(Collections.emptyMap(), DEFAULT_SAMPLER, false);
}

RateSamplersByEnvAndService(
Map<String, TreeMap<String, RateSampler>> envServiceRates, RateSampler fallbackSampler) {
Map<String, TreeMap<String, RateSampler>> envServiceRates,
RateSampler fallbackSampler,
boolean hasAgentRates) {
this.envServiceRates = envServiceRates;
this.fallbackSampler = fallbackSampler;
this.hasAgentRates = hasAgentRates;
}

boolean hasAgentRates() {
return hasAgentRates;
}

RateSampler getFallbackSampler() {
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -146,28 +146,21 @@ public <T extends CoreSpan<T>> void setSamplingPriority(final T span) {
if (matchedRule == null) {
fallbackSampler.setSamplingPriority(span);
} else {
if (matchedRule.sample(span)) {
if (rateLimiter.tryAcquire()) {
span.setSamplingPriority(
PrioritySampling.USER_KEEP,
SAMPLING_RULE_RATE,
matchedRule.getSampler().getSampleRate(),
matchedRule.getMechanism());
} else {
span.setSamplingPriority(
PrioritySampling.USER_DROP,
SAMPLING_RULE_RATE,
matchedRule.getSampler().getSampleRate(),
matchedRule.getMechanism());
}
boolean sampled = matchedRule.sample(span);
int samplingPriority;
if (sampled) {
samplingPriority =
rateLimiter.tryAcquire() ? PrioritySampling.USER_KEEP : PrioritySampling.USER_DROP;
span.setMetric(SAMPLING_LIMIT_RATE, rateLimit);
} else {
span.setSamplingPriority(
PrioritySampling.USER_DROP,
SAMPLING_RULE_RATE,
matchedRule.getSampler().getSampleRate(),
matchedRule.getMechanism());
samplingPriority = PrioritySampling.USER_DROP;
}
span.setSamplingPriority(
samplingPriority,
SAMPLING_RULE_RATE,
matchedRule.getSampler().getSampleRate(),
matchedRule.getMechanism(),
Boolean.valueOf(sampled));
}
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,11 @@ default void processTagsAndBaggageWithStructuredLinks(
T setSamplingPriority(int samplingPriority, int samplingMechanism);

T setSamplingPriority(
int samplingPriority, CharSequence rate, double sampleRate, int samplingMechanism);
int samplingPriority,
CharSequence rate,
double sampleRate,
int samplingMechanism,
Boolean probabilitySamplingResult);

T setSpanSamplingPriority(double rate, int limit);

Expand Down
22 changes: 21 additions & 1 deletion dd-trace-core/src/main/java/datadog/trace/core/DDSpan.java
Original file line number Diff line number Diff line change
Expand Up @@ -646,6 +646,25 @@ public final DDSpan setSamplingPriority(final int newPriority, int samplingMecha

@Override
public DDSpan setSamplingPriority(
int samplingPriority,
CharSequence rate,
double sampleRate,
int samplingMechanism,
Boolean probabilitySamplingResult) {
if (setSamplingPriorityWithRate(samplingPriority, rate, sampleRate, samplingMechanism)
&& probabilitySamplingResult != null) {
context
.getPropagationTags()
.updateOtelTraceState(
getTraceId().toLong(),
sampleRate,
probabilitySamplingResult.booleanValue(),
samplingPriority);
}
return this;
}

private boolean setSamplingPriorityWithRate(
int samplingPriority, CharSequence rate, double sampleRate, int samplingMechanism) {
if (context.setSamplingPriority(samplingPriority, samplingMechanism)) {
setMetric(rate, sampleRate);
Expand All @@ -655,8 +674,9 @@ public DDSpan setSamplingPriority(
|| samplingMechanism == SamplingMechanism.REMOTE_ADAPTIVE_RULE) {
context.getPropagationTags().updateKnuthSamplingRate(sampleRate);
}
return true;
}
return this;
return false;
}

@Override
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -445,7 +445,13 @@ public DDSpanContext(
setOrigin(origin);
}
if (samplingPriority != PrioritySampling.UNSET) {
setSamplingPriority(samplingPriority, SamplingMechanism.UNKNOWN);
if (this.propagationTags.getSamplingPriority() == samplingPriority) {

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P1 Badge Preserve OTel state for compound Datadog extraction

With the default DATADOG, TRACECONTEXT extraction order, the first Datadog context owns the sampling priority while applyTraceContextToFirstContext copies only the later W3C tracestate. Its PropagationTags priority therefore remains UNSET, so this comparison fails and the UNKNOWN update reaches removeForNonProbabilityDecision(), deleting the inherited th even when the Datadog and W3C decisions agree. Dual headers emitted by one instrumented service consequently lose consistent-sampling state at the next Java hop; avoid reapplying extracted priorities as UNKNOWN or synchronize the merged propagation-tags priority first.

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// Extractors already applied this priority to the propagation tags. Initialize the local
// field without reapplying the decision as an unknown local override.
SAMPLING_PRIORITY_UPDATER.set(this, samplingPriority);
} else {
setSamplingPriority(samplingPriority, SamplingMechanism.UNKNOWN);
}
}
setTag(PARENT_ID, this.propagationTags.getLastParentId());
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -67,6 +67,9 @@ public interface Factory {

public abstract void forceKeep(int samplingMechanism);

public abstract void updateOtelTraceState(
long traceIdLowOrderBits, double sampleRate, boolean sampled, int samplingPriority);

public abstract int getSamplingPriority();

public abstract void updateTraceOrigin(CharSequence origin);
Expand Down
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