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Bump github/codeql-action from 3.24.10 to 3.25.11 #27201

Open dependabot[bot] opened 4 days ago

dependabot[bot] commented 4 days ago

Bumps github/codeql-action from 3.24.10 to 3.25.11.

Changelog

Sourced from github/codeql-action's changelog.

CodeQL Action Changelog

See the releases page for the relevant changes to the CodeQL CLI and language packs.

Note that the only difference between v2 and v3 of the CodeQL Action is the node version they support, with v3 running on node 20 while we continue to release v2 to support running on node 16. For example 3.22.11 was the first v3 release and is functionally identical to 2.22.11. This approach ensures an easy way to track exactly which features are included in different versions, indicated by the minor and patch version numbers.

[UNRELEASED]

No user facing changes.

3.25.11 - 28 Jun 2024

  • Avoid failing the workflow run if there is an error while uploading debug artifacts. #2349
  • Update default CodeQL bundle version to 2.17.6. #2352

3.25.10 - 13 Jun 2024

  • Update default CodeQL bundle version to 2.17.5. #2327

3.25.9 - 12 Jun 2024

  • Avoid failing database creation if the database folder already exists and contains some unexpected files. Requires CodeQL 2.18.0 or higher. #2330
  • The init Action will attempt to clean up the database cluster directory before creating a new database and at the end of the job. This will help to avoid issues where the database cluster directory is left in an inconsistent state. #2332

3.25.8 - 04 Jun 2024

  • Update default CodeQL bundle version to 2.17.4. #2321

3.25.7 - 31 May 2024

  • We are rolling out a feature in May/June 2024 that will reduce the Actions cache usage of the Action by keeping only the newest TRAP cache for each language. #2306

3.25.6 - 20 May 2024

  • Update default CodeQL bundle version to 2.17.3. #2295

3.25.5 - 13 May 2024

  • Add a compatibility matrix of supported CodeQL Action, CodeQL CLI, and GitHub Enterprise Server versions to the https://github.com/github/codeql-action/blob/main/README.md. #2273
  • Avoid printing out a warning for a missing on.push trigger when the CodeQL Action is triggered via a workflow_call event. #2274
  • The tools: latest input to the init Action has been renamed to tools: linked. This option specifies that the Action should use the tools shipped at the same time as the Action. The old name will continue to work for backwards compatibility, but we recommend that new workflows use the new name. #2281

3.25.4 - 08 May 2024

  • Update default CodeQL bundle version to 2.17.2. #2270

3.25.3 - 25 Apr 2024

  • Update default CodeQL bundle version to 2.17.1. #2247
  • Workflows running on macos-latest using CodeQL CLI versions before v2.15.1 will need to either upgrade their CLI version to v2.15.1 or newer, or change the platform to an Intel MacOS runner, such as macos-12. ARM machines with SIP disabled, including the newest macos-latest image, are unsupported for CLI versions before 2.15.1. #2261

... (truncated)

Commits
  • b611370 Merge pull request #2357 from github/update-v3.25.11-de945755c
  • 3e6431f Update changelog for v3.25.11
  • de94575 Merge pull request #2352 from github/update-bundle/codeql-bundle-v2.17.6
  • a32d305 Add changelog note
  • 9ccc995 Update default bundle to codeql-bundle-v2.17.6
  • 9b7c22c Merge pull request #2351 from github/dependabot/npm_and_yarn/npm-6791eaa26c
  • 9cf3243 Rebuild
  • 1895b29 Update checked-in dependencies
  • 9dcfde9 Bump the npm group with 2 updates
  • 8723b5b Merge pull request #2350 from github/angelapwen/add-exclude-pr-check-param
  • Additional commits viewable in compare view


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dependabot[bot] commented 4 days ago

The following labels could not be found: dependencies-github-actions.

agent-platform-auto-pr[bot] commented 4 days ago

[Fast Unit Tests Report]

On pipeline 38055847 (CI Visibility). The following jobs did not run any unit tests:

Jobs: - tests_deb-arm64-py3 - tests_deb-x64-py3 - tests_flavor_dogstatsd_deb-x64 - tests_flavor_heroku_deb-x64 - tests_flavor_iot_deb-x64 - tests_rpm-arm64-py3 - tests_rpm-x64-py3 - tests_windows-x64

If you modified Go files and expected unit tests to run in these jobs, please double check the job logs. If you think tests should have been executed reach out to #agent-devx-help

pr-commenter[bot] commented 4 days ago

Regression Detector

Regression Detector Results

Run ID: 22f736e1-0199-439f-934e-05209435ab9b Metrics dashboard Target profiles

Baseline: 827a81b23dd401dac360c9f27ecfd7882d6b8e67 Comparison: 89d8a44ea5cab68174e2f2dee8653efe0a5d7cee

Performance changes are noted in the perf column of each table:

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 | links | |------|----------------------------|--------------------|----------|-----------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ➖ | tcp_syslog_to_blackhole | ingress throughput | +8.54 | [-4.61, +21.69] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_syslog_to_blackhole%20run_id%3A22f736e1-0199-439f-934e-05209435ab9b&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719861498000&to_ts=1719872898000&live=false) | | ➖ | file_tree | memory utilization | +0.67 | [+0.59, +0.76] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_tree%20run_id%3A22f736e1-0199-439f-934e-05209435ab9b&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719861498000&to_ts=1719872898000&live=false) | | ➖ | idle | memory utilization | +0.57 | [+0.54, +0.61] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aidle%20run_id%3A22f736e1-0199-439f-934e-05209435ab9b&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719861498000&to_ts=1719872898000&live=false) | | ➖ | otel_to_otel_logs | ingress throughput | +0.52 | [-0.29, +1.33] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aotel_to_otel_logs%20run_id%3A22f736e1-0199-439f-934e-05209435ab9b&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719861498000&to_ts=1719872898000&live=false) | | ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_dd_logs_filter_exclude%20run_id%3A22f736e1-0199-439f-934e-05209435ab9b&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719861498000&to_ts=1719872898000&live=false) | | ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api%20run_id%3A22f736e1-0199-439f-934e-05209435ab9b&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719861498000&to_ts=1719872898000&live=false) | | ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.04 | [-0.92, +0.85] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api_cpu%20run_id%3A22f736e1-0199-439f-934e-05209435ab9b&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719861498000&to_ts=1719872898000&live=false) | | ➖ | pycheck_1000_100byte_tags | % cpu utilization | -0.11 | [-4.94, +4.71] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Apycheck_1000_100byte_tags%20run_id%3A22f736e1-0199-439f-934e-05209435ab9b&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719861498000&to_ts=1719872898000&live=false) | | ➖ | basic_py_check | % cpu utilization | -1.45 | [-4.17, +1.27] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Abasic_py_check%20run_id%3A22f736e1-0199-439f-934e-05209435ab9b&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719861498000&to_ts=1719872898000&live=false) |

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".