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comp/trace/config: use dedicated testing.T in subtests #30674

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merged 1 commit into from
Nov 4, 2024

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ajgajg1134
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What does this PR do?

Fix a minor bug where if the makeProgram function failed it would improperly use the testing.T of the parent test, this causes an invalid test error and makes debugging the real failure much harder.

Motivation

Describe how to test/QA your changes

n/a

Possible Drawbacks / Trade-offs

Additional Notes

@ajgajg1134 ajgajg1134 added changelog/no-changelog team/agent-apm trace-agent qa/done QA done before merge and regressions are covered by tests labels Oct 31, 2024
@ajgajg1134 ajgajg1134 requested a review from a team as a code owner October 31, 2024 19:16
@ajgajg1134 ajgajg1134 changed the title use dedicated testing.T in subtests comp/trace/config: use dedicated testing.T in subtests Oct 31, 2024
@github-actions github-actions bot added the short review PR is simple enough to be reviewed quickly label Oct 31, 2024
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Test changes on VM

Use this command from test-infra-definitions to manually test this PR changes on a VM:

inv create-vm --pipeline-id=48001433 --os-family=ubuntu

Note: This applies to commit ab5558d

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Regression Detector

Regression Detector Results

Run ID: bf66f407-a60b-4b89-a7ff-49a3efea0e10 Metrics dashboard Target profiles

Baseline: f310525
Comparison: ab5558d

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

No significant changes in experiment optimization goals

Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%

There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
uds_dogstatsd_to_api_cpu % cpu utilization +0.78 [+0.05, +1.52] 1 Logs
quality_gate_idle_all_features memory utilization +0.66 [+0.56, +0.75] 1 Logs bounds checks dashboard
otel_to_otel_logs ingress throughput +0.53 [-0.27, +1.34] 1 Logs
idle_all_features memory utilization +0.48 [+0.38, +0.59] 1 Logs bounds checks dashboard
pycheck_lots_of_tags % cpu utilization +0.20 [-2.28, +2.67] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.19 [-0.30, +0.68] 1 Logs
tcp_syslog_to_blackhole ingress throughput +0.16 [+0.10, +0.21] 1 Logs
idle memory utilization +0.09 [+0.04, +0.13] 1 Logs bounds checks dashboard
tcp_dd_logs_filter_exclude ingress throughput +0.00 [-0.01, +0.01] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.00 [-0.34, +0.33] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.01 [-0.24, +0.22] 1 Logs
uds_dogstatsd_to_api ingress throughput -0.02 [-0.11, +0.08] 1 Logs
file_to_blackhole_500ms_latency egress throughput -0.03 [-0.27, +0.22] 1 Logs
file_to_blackhole_300ms_latency egress throughput -0.06 [-0.24, +0.12] 1 Logs
basic_py_check % cpu utilization -0.08 [-2.77, +2.61] 1 Logs
quality_gate_idle memory utilization -0.14 [-0.19, -0.09] 1 Logs bounds checks dashboard
file_tree memory utilization -0.14 [-0.27, -0.02] 1 Logs

Bounds Checks

perf experiment bounds_check_name replicates_passed
file_to_blackhole_0ms_latency memory_usage 10/10
file_to_blackhole_1000ms_latency memory_usage 10/10
file_to_blackhole_100ms_latency memory_usage 10/10
file_to_blackhole_300ms_latency memory_usage 10/10
file_to_blackhole_500ms_latency memory_usage 10/10
idle memory_usage 10/10
idle_all_features memory_usage 10/10
quality_gate_idle memory_usage 10/10
quality_gate_idle_all_features memory_usage 10/10

Explanation

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:

  1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

  2. 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.

  3. Its configuration does not mark it "erratic".

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/merge

@dd-devflow
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dd-devflow bot commented Nov 4, 2024

🚂 MergeQueue: pull request added to the queue

The median merge time in main is 22m.

Use /merge -c to cancel this operation!

@dd-mergequeue dd-mergequeue bot merged commit c959bd1 into main Nov 4, 2024
245 checks passed
@dd-mergequeue dd-mergequeue bot deleted the andrew.glaude/fixTestPanic branch November 4, 2024 14:18
@github-actions github-actions bot added this to the 7.61.0 milestone Nov 4, 2024
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