datadog-agent
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Remove aliases from pkg/config and refactor all references to types/functions
What does this PR do?
replaces all existing references to pkg/config with the respective sub-module. The majority of functions and variables were already moved to aliases with #20034; this change removes obfuscation and makes it clearer what our code is doing.
Additionally, remaining functions that were in pkg/config were moved to appropriate submodules, such as pkg/config/legacy and pkg/config/setup
Motivation
closes https://datadoghq.atlassian.net/browse/OTEL-1134
Additional Notes
legacy_converter.go was moved from pkg/config to pkg/config/legacy
Ideally I would have broken this up into smaller PRs, but refactoring the pkg/config/legacy code was causing a circular dependency on every package importing pkg/config so I went through and updated all of them instead.
Possible Drawbacks / Trade-offs
slight formatting/style preferences used across the codebase; could change import names to match local code style. Additionally if a function/functions belong in a different pkg/config submodule I would be happy to move it where makes sense.
Describe how to test/QA your changes
run unit/integration tests locally and through CI
Reviewer's Checklist
- [X] If known, an appropriate milestone has been selected; otherwise the Triage milestone is set.
- [ ] Use the major_change label if your change either has a major impact on the code base, is impacting multiple teams or is changing important well-established internals of the Agent. This label will be use during QA to make sure each team pay extra attention to the changed behavior. For any customer facing change use a releasenote.
- [X] A release note has been added or the changelog/no-changelog label has been applied.
- [X] Changed code has automated tests for its functionality.
- [ ] Adequate QA/testing plan information is provided if the qa/skip-qa label is not applied.
- [X] At least one team/.. label has been applied, indicating the team(s) that should QA this change.
- [ ] If applicable, docs team has been notified or an issue has been opened on the documentation repo.
- [ ] If applicable, the need-change/operator and need-change/helm labels have been applied.
- [ ] If applicable, the k8s/
label, indicating the lowest Kubernetes version compatible with this feature. - [ ] If applicable, the config template has been updated.
Go Package Import Differences
Baseline: cce2d6dab2eb17679fa09459fb109da5aaf6793c Comparison: 7be6100df6f31f7aba05cb65f2e08eb7673583b1
| binary | os | arch | change |
|---|---|---|---|
| agent | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| agent | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| agent | windows | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| agent | darwin | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| agent | darwin | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| iot-agent | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| iot-agent | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| heroku-agent | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| cluster-agent | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| cluster-agent | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| cluster-agent-cloudfoundry | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| cluster-agent-cloudfoundry | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| dogstatsd | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| dogstatsd | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| process-agent | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| process-agent | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| process-agent | windows | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| process-agent | darwin | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| process-agent | darwin | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| heroku-process-agent | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| security-agent | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| security-agent | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| serverless | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| serverless | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| system-probe | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| system-probe | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| system-probe | windows | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| trace-agent | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| trace-agent | linux | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| trace-agent | windows | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| trace-agent | darwin | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| trace-agent | darwin | arm64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
| heroku-trace-agent | linux | amd64 | +0, -1
-github.com/DataDog/datadog-agent/pkg/config
|
:inbox_tray: :loudspeaker: Info, this pull request increases the binary size of serverless extension by 24736 bytes. Each MB of binary size increase means about 10ms of additional cold start time, so this pull request would increase cold start time by 0ms.
Debug info
If you have questions, we are happy to help, come visit us in the #serverless slack channel and provide a link to this comment.
We suggest you consider adding the !serverless build tag to remove any new dependencies not needed in the serverless extension.
:inbox_tray: :loudspeaker: Info, this pull request increases the binary size of serverless extension by 24736 bytes. Each MB of binary size increase means about 10ms of additional cold start time, so this pull request would increase cold start time by 0ms.
Debug info
If you have questions, we are happy to help, come visit us in the #serverless slack channel and provide a link to this comment.
We suggest you consider adding the !serverless build tag to remove any new dependencies not needed in the serverless extension.
:inbox_tray: :loudspeaker: Info, this pull request increases the binary size of serverless extension by 24736 bytes. Each MB of binary size increase means about 10ms of additional cold start time, so this pull request would increase cold start time by 0ms.
Debug info
If you have questions, we are happy to help, come visit us in the #serverless slack channel and provide a link to this comment.
We suggest you consider adding the !serverless build tag to remove any new dependencies not needed in the serverless extension.
:inbox_tray: :loudspeaker: Info, this pull request increases the binary size of serverless extension by 24736 bytes. Each MB of binary size increase means about 10ms of additional cold start time, so this pull request would increase cold start time by 0ms.
Debug info
If you have questions, we are happy to help, come visit us in the #serverless slack channel and provide a link to this comment.
We suggest you consider adding the !serverless build tag to remove any new dependencies not needed in the serverless extension.
:inbox_tray: :loudspeaker: Info, this pull request increases the binary size of serverless extension by -3968 bytes. Each MB of binary size increase means about 10ms of additional cold start time, so this pull request would increase cold start time by 0ms.
Debug info
If you have questions, we are happy to help, come visit us in the #serverless slack channel and provide a link to this comment.
We suggest you consider adding the !serverless build tag to remove any new dependencies not needed in the serverless extension.
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=44513586 --os-family=ubuntu
Note: This applies to commit 7be6100d
Regression Detector
Regression Detector Results
Run ID: c9d782e7-d80e-4f41-9fea-5147dc05ebc0 Metrics dashboard Target profiles
Baseline: cce2d6dab2eb17679fa09459fb109da5aaf6793c Comparison: 7be6100df6f31f7aba05cb65f2e08eb7673583b1
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 |
|---|---|---|---|---|---|---|
| ➖ | basic_py_check | % cpu utilization | +0.68 | [-2.12, +3.47] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.64 | [-0.12, +1.40] | 1 | Logs |
| ➖ | file_tree | memory utilization | +0.63 | [+0.51, +0.74] | 1 | Logs |
| ➖ | pycheck_lots_of_tags | % cpu utilization | +0.61 | [-2.00, +3.22] | 1 | Logs |
| ➖ | idle | memory utilization | +0.30 | [+0.25, +0.34] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api | ingress throughput | -0.00 | [-0.00, +0.00] | 1 | Logs |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.01, +0.01] | 1 | Logs |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | -0.10 | [-0.15, -0.05] | 1 | Logs |
| ➖ | otel_to_otel_logs | ingress throughput | -0.99 | [-1.81, -0.17] | 1 | Logs |
Bounds Checks
| perf | experiment | bounds_check_name | replicates_passed |
|---|---|---|---|
| ❌ | idle | memory_usage | 7/10 |
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:
-
Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
-
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.
-
Its configuration does not mark it "erratic".
not sure why the Serverless Binary Size test is failing; seems to be due to an external comment integration. Serverless binary size decreases by 128 bytes with this PR
As a note I noticed that in some functions we reference the function call
pkgconfigsetup.Datadog()multiple times. Is not a big deal, but would be nice if we could hoist that into a variable. Especially, since that function call deals with a read lock, so any unnecessary use of the lock 🔒 is not a good approach
I like this idea; I'll look into this and consider opening a second PR; want to keep this PR as close to a 1:1 match of existing code as possible
nit: could be good to refactor the PR title 😅
good call, thank you
/merge
:steam_locomotive: MergeQueue: pull request added to the queue
The median merge time in main is 23m.
Use /merge -c to cancel this operation!
:x: MergeQueue: The build pipeline contains failing jobs for this merge request
Build pipeline has failing jobs for 250ffcf:
⚠️ Do NOT retry failed jobs directly (why?).
What to do next?
- Investigate the failures and when ready, re-add your pull request to the queue!
- Any question, go check the FAQ.
Details
Since those jobs are not marked as being allowed to fail, the pipeline will most likely fail. Therefore, and to allow other builds to be processed, this merge request has been rejected and the pipeline got canceled.
If you need support, contact us on Slack #devflow with those details!
/merge
:steam_locomotive: MergeQueue: pull request added to the queue
The median merge time in main is 23m.
Use /merge -c to cancel this operation!
:x: MergeQueue: The build pipeline contains failing jobs for this merge request
Build pipeline has failing jobs for 6a6385e:
⚠️ Do NOT retry failed jobs directly (why?).
What to do next?
- Investigate the failures and when ready, re-add your pull request to the queue!
- Any question, go check the FAQ.
Details
Since those jobs are not marked as being allowed to fail, the pipeline will most likely fail. Therefore, and to allow other builds to be processed, this merge request has been rejected and the pipeline got canceled.
If you need support, contact us on Slack #devflow with those details!
/merge
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This merge request is not mergeable yet, because of pending checks/missing approvals. It will be added to the queue as soon as checks pass and/or get approvals.
Note: if you pushed new commits since the last approval, you may need additional approval.
You can remove it from the waiting list with /remove command.
Use /merge -c to cancel this operation!
Serverless Benchmark Results
BenchmarkStartEndInvocation comparison between 9f339cb1aaca95f84d756e65b6238bbdae3358c4 and 36eb1a756b784ce971f4d611c2e24ee51a51ac7e.
tl;dr
Use these benchmarks as an insight tool during development.
-
Skim down the
vs basecolumn in each chart. If there is a~, then there was no statistically significant change to the benchmark. Otherwise, ensure the estimated percent change is either negative or very small. -
The last row of each chart is the
geomean. Ensure this percentage is either negative or very small.
What is this benchmarking?
The BenchmarkStartEndInvocation compares the amount of time it takes to call the start-invocation and end-invocation endpoints. For universal instrumentation languages (Dotnet, Golang, Java, Ruby), this represents the majority of the duration overhead added by our tracing layer.
The benchmark is run using a large variety of lambda request payloads. In the charts below, there is one row for each event payload type.
How do I interpret these charts?
The charts below comes from benchstat. They represent the statistical change in duration (sec/op), memory overhead (B/op), and allocations (allocs/op).
The benchstat docs explain how to interpret these charts.
Before the comparison table, we see common file-level configuration. If there are benchmarks with different configuration (for example, from different packages), benchstat will print separate tables for each configuration.
The table then compares the two input files for each benchmark. It shows the median and 95% confidence interval summaries for each benchmark before and after the change, and an A/B comparison under "vs base". ... The p-value measures how likely it is that any differences were due to random chance (i.e., noise). The "~" means benchstat did not detect a statistically significant difference between the two inputs. ...
Note that "statistically significant" is not the same as "large": with enough low-noise data, even very small changes can be distinguished from noise and considered statistically significant. It is, of course, generally easier to distinguish large changes from noise.
Finally, the last row of the table shows the geometric mean of each column, giving an overall picture of how the benchmarks changed. Proportional changes in the geomean reflect proportional changes in the benchmarks. For example, given n benchmarks, if sec/op for one of them increases by a factor of 2, then the sec/op geomean will increase by a factor of ⁿ√2.
I need more help
First off, do not worry if the benchmarks are failing. They are not tests. The intention is for them to be a tool for you to use during development.
If you would like a hand interpreting the results come chat with us in #serverless-agent in the internal DataDog slack or in #serverless in the public DataDog slack. We're happy to help!
Benchmark stats
goos: linux
goarch: amd64
pkg: github.com/DataDog/datadog-agent/pkg/serverless/daemon
cpu: AMD EPYC 7763 64-Core Processor
│ baseline/benchmark.log │ current/benchmark.log │
│ sec/op │ sec/op vs base │
api-gateway-appsec.json 86.91µ ± 6% 83.91µ ± 5% -3.45% (p=0.015 n=10)
api-gateway-kong-appsec.json 67.11µ ± 1% 67.02µ ± 8% ~ (p=0.684 n=10)
api-gateway-kong.json 65.70µ ± 1% 64.97µ ± 1% -1.10% (p=0.000 n=10)
api-gateway-non-proxy-async.json 103.8µ ± 2% 103.7µ ± 3% ~ (p=0.971 n=10)
api-gateway-non-proxy.json 104.8µ ± 1% 104.8µ ± 1% ~ (p=1.000 n=10)
api-gateway-websocket-connect.json 69.35µ ± 2% 68.70µ ± 1% -0.94% (p=0.029 n=10)
api-gateway-websocket-default.json 63.01µ ± 1% 62.03µ ± 1% -1.54% (p=0.005 n=10)
api-gateway-websocket-disconnect.json 62.60µ ± 2% 62.56µ ± 1% ~ (p=0.796 n=10)
api-gateway.json 116.6µ ± 1% 113.9µ ± 1% -2.34% (p=0.000 n=10)
application-load-balancer.json 64.52µ ± 1% 62.78µ ± 2% -2.70% (p=0.000 n=10)
cloudfront.json 48.38µ ± 4% 47.03µ ± 1% -2.79% (p=0.001 n=10)
cloudwatch-events.json 39.27µ ± 2% 37.86µ ± 1% -3.58% (p=0.000 n=10)
cloudwatch-logs.json 66.22µ ± 1% 64.96µ ± 1% -1.91% (p=0.000 n=10)
custom.json 32.01µ ± 2% 30.91µ ± 2% -3.42% (p=0.000 n=10)
dynamodb.json 96.35µ ± 1% 93.89µ ± 1% -2.55% (p=0.000 n=10)
empty.json 29.86µ ± 1% 29.60µ ± 1% ~ (p=0.089 n=10)
eventbridge-custom.json 43.60µ ± 2% 42.63µ ± 1% -2.23% (p=0.029 n=10)
http-api.json 72.82µ ± 2% 72.34µ ± 1% ~ (p=0.123 n=10)
kinesis-batch.json 73.00µ ± 2% 70.88µ ± 1% -2.90% (p=0.000 n=10)
kinesis.json 55.27µ ± 2% 53.92µ ± 1% -2.46% (p=0.000 n=10)
s3.json 60.42µ ± 2% 59.73µ ± 3% -1.15% (p=0.035 n=10)
sns-batch.json 90.95µ ± 2% 90.36µ ± 2% -0.65% (p=0.035 n=10)
sns.json 65.83µ ± 1% 65.09µ ± 2% -1.13% (p=0.035 n=10)
snssqs.json 111.0µ ± 1% 110.7µ ± 2% ~ (p=0.529 n=10)
snssqs_no_dd_context.json 100.67µ ± 1% 99.79µ ± 2% -0.88% (p=0.019 n=10)
sqs-aws-header.json 56.11µ ± 2% 55.45µ ± 2% -1.17% (p=0.035 n=10)
sqs-batch.json 95.91µ ± 3% 95.11µ ± 1% ~ (p=0.143 n=10)
sqs.json 70.28µ ± 3% 69.64µ ± 2% ~ (p=0.363 n=10)
sqs_no_dd_context.json 62.69µ ± 2% 61.45µ ± 2% ~ (p=0.089 n=10)
geomean 67.70µ 66.65µ -1.55%
│ baseline/benchmark.log │ current/benchmark.log │
│ B/op │ B/op vs base │
api-gateway-appsec.json 37.26Ki ± 0% 37.25Ki ± 0% ~ (p=0.541 n=10)
api-gateway-kong-appsec.json 26.92Ki ± 0% 26.92Ki ± 0% ~ (p=0.839 n=10)
api-gateway-kong.json 24.41Ki ± 0% 24.42Ki ± 0% ~ (p=0.288 n=10)
api-gateway-non-proxy-async.json 48.03Ki ± 0% 48.03Ki ± 0% ~ (p=0.696 n=10)
api-gateway-non-proxy.json 47.26Ki ± 0% 47.26Ki ± 0% ~ (p=0.565 n=10)
api-gateway-websocket-connect.json 25.46Ki ± 0% 25.46Ki ± 0% ~ (p=0.671 n=10)
api-gateway-websocket-default.json 21.37Ki ± 0% 21.36Ki ± 0% ~ (p=0.239 n=10)
api-gateway-websocket-disconnect.json 21.15Ki ± 0% 21.15Ki ± 0% ~ (p=0.725 n=10)
api-gateway.json 49.56Ki ± 0% 49.55Ki ± 0% ~ (p=0.325 n=10)
application-load-balancer.json 22.33Ki ± 0% 22.33Ki ± 0% ~ (p=0.341 n=10)
cloudfront.json 17.65Ki ± 0% 17.64Ki ± 0% ~ (p=0.085 n=10)
cloudwatch-events.json 11.69Ki ± 0% 11.68Ki ± 0% -0.11% (p=0.001 n=10)
cloudwatch-logs.json 53.36Ki ± 0% 53.36Ki ± 0% ~ (p=0.912 n=10)
custom.json 9.723Ki ± 0% 9.715Ki ± 0% ~ (p=0.147 n=10)
dynamodb.json 40.77Ki ± 0% 40.76Ki ± 0% ~ (p=0.324 n=10)
empty.json 9.270Ki ± 0% 9.259Ki ± 0% ~ (p=0.128 n=10)
eventbridge-custom.json 13.41Ki ± 0% 13.42Ki ± 0% ~ (p=0.838 n=10)
http-api.json 23.72Ki ± 0% 23.72Ki ± 0% ~ (p=0.986 n=10)
kinesis-batch.json 27.02Ki ± 0% 27.02Ki ± 0% ~ (p=0.811 n=10)
kinesis.json 17.81Ki ± 0% 17.77Ki ± 0% -0.18% (p=0.041 n=10)
s3.json 20.30Ki ± 0% 20.31Ki ± 0% ~ (p=0.542 n=10)
sns-batch.json 38.69Ki ± 0% 38.66Ki ± 0% ~ (p=0.165 n=10)
sns.json 23.98Ki ± 0% 23.98Ki ± 0% ~ (p=0.684 n=10)
snssqs.json 50.55Ki ± 0% 50.54Ki ± 0% ~ (p=0.912 n=10)
snssqs_no_dd_context.json 44.80Ki ± 0% 44.80Ki ± 0% ~ (p=0.579 n=10)
sqs-aws-header.json 18.81Ki ± 0% 18.81Ki ± 0% ~ (p=0.700 n=10)
sqs-batch.json 41.63Ki ± 0% 41.60Ki ± 0% ~ (p=0.517 n=10)
sqs.json 25.52Ki ± 1% 25.51Ki ± 0% ~ (p=0.579 n=10)
sqs_no_dd_context.json 20.70Ki ± 1% 20.63Ki ± 1% ~ (p=0.197 n=10)
geomean 25.70Ki 25.69Ki -0.03%
│ baseline/benchmark.log │ current/benchmark.log │
│ allocs/op │ allocs/op vs base │
api-gateway-appsec.json 629.0 ± 0% 629.0 ± 0% ~ (p=1.000 n=10)
api-gateway-kong-appsec.json 488.0 ± 0% 488.0 ± 0% ~ (p=1.000 n=10) ¹
api-gateway-kong.json 466.0 ± 0% 466.0 ± 0% ~ (p=1.000 n=10) ¹
api-gateway-non-proxy-async.json 725.0 ± 0% 725.5 ± 0% ~ (p=0.650 n=10)
api-gateway-non-proxy.json 716.0 ± 0% 716.0 ± 0% ~ (p=1.000 n=10)
api-gateway-websocket-connect.json 453.0 ± 0% 453.0 ± 0% ~ (p=1.000 n=10) ¹
api-gateway-websocket-default.json 379.0 ± 0% 379.0 ± 0% ~ (p=1.000 n=10)
api-gateway-websocket-disconnect.json 370.0 ± 0% 370.0 ± 0% ~ (p=1.000 n=10)
api-gateway.json 791.0 ± 0% 791.0 ± 0% ~ (p=1.000 n=10)
application-load-balancer.json 352.0 ± 0% 352.0 ± 0% ~ (p=1.000 n=10) ¹
cloudfront.json 284.0 ± 0% 284.0 ± 0% ~ (p=0.303 n=10)
cloudwatch-events.json 220.0 ± 0% 220.0 ± 0% ~ (p=0.474 n=10)
cloudwatch-logs.json 215.0 ± 0% 215.0 ± 0% ~ (p=1.000 n=10)
custom.json 168.0 ± 1% 168.0 ± 0% ~ (p=0.474 n=10)
dynamodb.json 589.0 ± 0% 589.0 ± 0% ~ (p=0.178 n=10)
empty.json 159.0 ± 1% 159.0 ± 1% ~ (p=1.000 n=10)
eventbridge-custom.json 254.0 ± 0% 254.0 ± 0% ~ (p=0.677 n=10)
http-api.json 432.5 ± 0% 432.0 ± 0% ~ (p=1.000 n=10)
kinesis-batch.json 391.0 ± 0% 391.0 ± 0% ~ (p=1.000 n=10)
kinesis.json 285.0 ± 0% 285.0 ± 0% ~ (p=0.393 n=10)
s3.json 357.0 ± 0% 357.0 ± 0% ~ (p=1.000 n=10)
sns-batch.json 455.0 ± 0% 455.0 ± 0% ~ (p=0.092 n=10)
sns.json 323.0 ± 0% 323.0 ± 0% ~ (p=0.559 n=10)
snssqs.json 438.0 ± 0% 438.0 ± 0% ~ (p=0.791 n=10)
snssqs_no_dd_context.json 399.5 ± 0% 399.0 ± 0% ~ (p=0.966 n=10)
sqs-aws-header.json 274.0 ± 0% 274.0 ± 0% ~ (p=0.730 n=10)
sqs-batch.json 503.0 ± 0% 503.0 ± 0% ~ (p=1.000 n=10)
sqs.json 350.5 ± 1% 350.0 ± 1% ~ (p=0.632 n=10)
sqs_no_dd_context.json 325.0 ± 1% 324.0 ± 1% ~ (p=0.157 n=10)
geomean 376.3 376.2 -0.02%
¹ all samples are equal
:steam_locomotive: MergeQueue: pull request added to the queue
The median merge time in main is 23m.
Use /merge -c to cancel this operation!