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DataDog / saluki

An experimental toolkit for building telemetry data planes in Rust.
Apache License 2.0
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build(deps): bump tokio from 1.39.2 to 1.39.3 #202

Closed dependabot[bot] closed 3 weeks ago

dependabot[bot] commented 3 weeks ago

Bumps tokio from 1.39.2 to 1.39.3.

Release notes

Sourced from tokio's releases.

Tokio v1.39.3

1.39.3 (August 17th, 2024)

This release fixes a regression where the unix socket api stopped accepting the abstract socket namespace. (#6772)

#6772: tokio-rs/tokio#6772

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pr-commenter[bot] commented 3 weeks ago

Regression Detector (Saluki)

Regression Detector Results

Run ID: 430e6892-dc75-495f-a71e-a96d48003734

Baseline: f0a8b4c7b06e49a9f97f4067cf2a94cabd1cfbed Comparison: 06f1fd11bc9ae04465623bdbc10121a20d7afa77

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 | |------|-------------------------------------------------|--------------------|----------|----------------|-------| | ➖ | dsd_uds_100mb_3k_contexts_distributions_only | memory utilization | +1.41 | [+1.27, +1.55] | | | ➖ | dsd_uds_1mb_50k_contexts_memlimit | ingress throughput | +0.51 | [-2.80, +3.82] | | | ➖ | dsd_uds_500mb_3k_contexts | ingress throughput | +0.48 | [+0.39, +0.57] | | | ➖ | dsd_uds_512kb_3k_contexts | ingress throughput | +0.04 | [-0.10, +0.19] | | | ➖ | dsd_uds_100mb_250k_contexts | ingress throughput | +0.04 | [-0.23, +0.31] | | | ➖ | dsd_uds_1mb_50k_contexts | ingress throughput | +0.03 | [-0.02, +0.08] | | | ➖ | dsd_uds_10mb_3k_contexts | ingress throughput | +0.02 | [-0.19, +0.23] | | | ➖ | dsd_uds_50mb_10k_contexts_no_inlining_no_allocs | ingress throughput | +0.00 | [-0.04, +0.05] | | | ➖ | dsd_uds_50mb_10k_contexts_no_inlining | ingress throughput | -0.00 | [-0.00, +0.00] | | | ➖ | dsd_uds_100mb_3k_contexts | ingress throughput | -0.00 | [-0.03, +0.02] | | | ➖ | dsd_uds_1mb_3k_contexts | ingress throughput | -0.04 | [-0.35, +0.27] | |

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".
pr-commenter[bot] commented 3 weeks ago

Regression Detector (DogStatsD)

Regression Detector Results

Run ID: 0f73bcdd-1622-45b3-adc2-242e9197990b

Baseline: 7.52.0 Comparison: 7.52.1

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 | |------|----------------------------------------------|--------------------|----------|----------------|-------| | ➖ | dsd_uds_10mb_3k_contexts | ingress throughput | +0.05 | [+0.02, +0.08] | | | ➖ | dsd_uds_100mb_3k_contexts_distributions_only | memory utilization | +0.05 | [-0.17, +0.26] | | | ➖ | dsd_uds_512kb_3k_contexts | ingress throughput | +0.04 | [-0.03, +0.12] | | | ➖ | dsd_uds_1mb_50k_contexts_memlimit | ingress throughput | +0.04 | [-0.02, +0.09] | | | ➖ | dsd_uds_1mb_3k_contexts | ingress throughput | +0.02 | [-0.05, +0.08] | | | ➖ | dsd_uds_100mb_250k_contexts | ingress throughput | +0.00 | [-0.02, +0.02] | | | ➖ | dsd_uds_1mb_50k_contexts | ingress throughput | -0.00 | [-0.06, +0.06] | | | ➖ | dsd_uds_500mb_3k_contexts | ingress throughput | -0.00 | [-0.00, +0.00] | | | ➖ | dsd_uds_100mb_3k_contexts | ingress throughput | -0.01 | [-0.03, -0.00] | |

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".
pr-commenter[bot] commented 3 weeks ago

Regression Detector Links

Experiment Result Links

experiment link(s)
dsd_uds_100mb_250k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_100mb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_100mb_3k_contexts_distributions_only [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_10mb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_1mb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_1mb_50k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_1mb_50k_contexts_memlimit [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_500mb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_512kb_3k_contexts [Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_50mb_10k_contexts_no_inlining (ADP only) [Profiling (ADP)] [SMP Dashboard]
dsd_uds_50mb_10k_contexts_no_inlining_no_allocs (ADP only) [Profiling (ADP)] [SMP Dashboard]
dependabot[bot] commented 3 weeks ago

Looks like tokio is up-to-date now, so this is no longer needed.