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Read 'datadog.' namespaced fields when mapping OTLP->DD span #33753
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Read 'datadog.' namespaced fields when mapping OTLP->DD span #33753
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Left some minor suggestions from Docs and approved the PR.
Static quality checks ✅Please find below the results from static quality gates Successful checksInfo
|
Test changes on VMUse this command from test-infra-definitions to manually test this PR changes on a VM: inv aws.create-vm --pipeline-id=56819706 --os-family=ubuntu Note: This applies to commit 411c55f |
Uncompressed package size comparisonComparison with ancestor Diff per package
Decision |
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Left a couple of suggestions on the release notes and approved the PR.
releasenotes/notes/use-dd-namespaced-fields-in-otlp-receiver-2924efdc1fed024f.yaml
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Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: 526645b Optimization Goals: ✅ No significant changes detected
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perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
---|---|---|---|---|---|---|
➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +2.42 | [+1.50, +3.34] | 1 | Logs |
➖ | quality_gate_idle | memory utilization | +0.59 | [+0.55, +0.63] | 1 | Logs bounds checks dashboard |
➖ | file_to_blackhole_500ms_latency | egress throughput | +0.09 | [-0.70, +0.89] | 1 | Logs |
➖ | file_tree | memory utilization | +0.08 | [+0.02, +0.14] | 1 | Logs |
➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | +0.04 | [-0.43, +0.51] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | +0.03 | [-0.76, +0.81] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | +0.01 | [-0.82, +0.85] | 1 | Logs |
➖ | file_to_blackhole_100ms_latency | egress throughput | +0.01 | [-0.69, +0.71] | 1 | Logs |
➖ | file_to_blackhole_300ms_latency | egress throughput | +0.01 | [-0.62, +0.64] | 1 | Logs |
➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.02, +0.03] | 1 | Logs |
➖ | uds_dogstatsd_to_api | ingress throughput | -0.00 | [-0.30, +0.30] | 1 | Logs |
➖ | file_to_blackhole_0ms_latency | egress throughput | -0.01 | [-0.77, +0.75] | 1 | Logs |
➖ | tcp_syslog_to_blackhole | ingress throughput | -0.49 | [-0.55, -0.43] | 1 | Logs |
➖ | quality_gate_idle_all_features | memory utilization | -0.60 | [-0.66, -0.55] | 1 | Logs bounds checks dashboard |
➖ | file_to_blackhole_1000ms_latency | egress throughput | -1.27 | [-2.05, -0.49] | 1 | Logs |
➖ | quality_gate_logs | % cpu utilization | -2.13 | [-5.03, +0.76] | 1 | Logs |
Bounds Checks: ✅ Passed
perf | experiment | bounds_check_name | replicates_passed | links |
---|---|---|---|---|
✅ | file_to_blackhole_0ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http1 | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http1 | memory_usage | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http2 | lost_bytes | 10/10 | |
✅ | file_to_blackhole_0ms_latency_http2 | memory_usage | 10/10 | |
✅ | file_to_blackhole_1000ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_1000ms_latency_linear_load | memory_usage | 10/10 | |
✅ | file_to_blackhole_100ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_100ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_300ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_300ms_latency | memory_usage | 10/10 | |
✅ | file_to_blackhole_500ms_latency | lost_bytes | 10/10 | |
✅ | file_to_blackhole_500ms_latency | memory_usage | 10/10 | |
✅ | quality_gate_idle | intake_connections | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle | memory_usage | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle_all_features | intake_connections | 10/10 | bounds checks dashboard |
✅ | quality_gate_idle_all_features | memory_usage | 10/10 | bounds checks dashboard |
✅ | quality_gate_logs | intake_connections | 10/10 | |
✅ | quality_gate_logs | lost_bytes | 10/10 | |
✅ | quality_gate_logs | memory_usage | 10/10 |
Explanation
Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%
Performance changes are noted in the perf column of each table:
- ✅ = significantly better comparison variant performance
- ❌ = significantly worse comparison variant performance
- ➖ = no significant change in performance
A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".
For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:
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Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
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Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.
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Its configuration does not mark it "erratic".
CI Pass/Fail Decision
✅ Passed. All Quality Gates passed.
- quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
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Static quality checks ❌Please find below the results from static quality gates Error
Gate failure full details
Successful checksInfo
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What does this PR do?
Link to RFC
Link to the datadogsemanticsprocessor PR
We will be introducing a component
datadogsemanticsprocessor
into the OpenTelemetry collector. That component takes in an OTLP record, computes the fields that will be used to construct the corresponding DD record, and puts said fields in the OTLP record's attributes under thedatadog.
namespace.This PR adds the functionality to construct a DD span from
datadog.
attributes on an incoming span. By default, look for a span attribute starting withdatadog.
; if it's present, it's used to compute the corresponding datadog field (e.g.,datadog.service
is used to setddspan.Service
). It will override other sources of the same field (e.g., if bothdatadog.service
andservice.name
are present,datadog.service
is used).By default, if a field is missing, it will be recomputed (e.g., if there's no
datadog.env
, look for env indeployment.environment
). However, if the config optionIgnoreMissingDatadogFields
is specified, then the field will not be recomputed. This option is given so that users can explicitly specify blank fields if they like (e.g. specify thatdatadog.env = ""
).Describe how you validated your changes
Added 2 test cases - one where every field is populated from
datadog.
attributes, and one where there are nodatadog.
attributes, and the fields could be recomputed, butIgnoreMissingDatadogFields
is specified so they are not.Also, sent traces from the datadogsemanticsprocessor (not published yet, running locally) to the agent and validated that fields are populated correctly E2E.
Possible Drawbacks / Trade-offs
NOTE: in refactoring the code to incorporate the new changes, I introduced a breaking change:
Previously, the code was written so that if both
http.response.status_code
andhttp.status_code
were present in the span attributes, the former was preferred over the latter; this was to enforce the new OTLP semantic convention, since the former was added in a later version. I decided that we've given people enough time to migrate to the new convention, and prefer cleaner code over preserving that corner case. I removed the test cases related to that case (similar forhttp.method
)