dsccommunity / SqlServerDsc

This module contains DSC resources for deployment and configuration of Microsoft SQL Server.
MIT License
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`Assert-SetupActionProperties`: Use commands from DscResource.Common #1828

Closed johlju closed 1 year ago

johlju commented 1 year ago

Pull Request (PR) description

This Pull Request (PR) fixes the following issues

Task list


This change is Reviewable

codecov[bot] commented 1 year ago

Codecov Report

Merging #1828 (1d80037) into main (1397e58) will decrease coverage by 0%. The diff coverage is 92%.

Impacted file tree graph

@@         Coverage Diff          @@
##           main   #1828   +/-   ##
====================================
- Coverage    91%     91%   -1%     
====================================
  Files        81      79    -2     
  Lines      7428    7410   -18     
====================================
- Hits       6776    6758   -18     
  Misses      652     652           
Flag Coverage Δ
unit 91% <92%> (-1%) :arrow_down:
Impacted Files Coverage Δ
source/Private/Assert-SetupActionProperties.ps1 98% <92%> (ø)
pull-request-quantifier-deprecated[bot] commented 1 year ago

This PR has 251 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

``` Label : Large Size : +32 -219 Percentile : 65.1% Total files changed: 9 Change summary by file extension: .json : +3 -1 .md : +15 -4 .ps1 : +14 -211 .psd1 : +0 -3 ``` > Change counts above are quantified counts, based on the [PullRequestQuantifier customizations](https://github.com/microsoft/PullRequestQuantifier/blob/main/docs/prquantifier-yaml.md).

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a balance between between PR complexity and PR review overhead. PRs within the optimal size (typical small, or medium sized PRs) mean: - Fast and predictable releases to production: - Optimal size changes are more likely to be reviewed faster with fewer iterations. - Similarity in low PR complexity drives similar review times. - Review quality is likely higher as complexity is lower: - Bugs are more likely to be detected. - Code inconsistencies are more likely to be detected. - Knowledge sharing is improved within the participants: - Small portions can be assimilated better. - Better engineering practices are exercised: - Solving big problems by dividing them in well contained, smaller problems. - Exercising separation of concerns within the code changes. #### What can I do to optimize my changes - Use the PullRequestQuantifier to quantify your PR accurately - Create a context profile for your repo using the [context generator](https://github.com/microsoft/PullRequestQuantifier/releases) - Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the `Excluded` section from your `prquantifier.yaml` context profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your `prquantifier.yaml` context profile. - Only use the labels that matter to you, [see context specification](./docs/prquantifier-yaml.md) to customize your `prquantifier.yaml` context profile. - Change your engineering behaviors - For PRs that fall outside of the desired spectrum, review the details and check if: - Your PR could be split in smaller, self-contained PRs instead - Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR). #### How to interpret the change counts in git diff output - One line was added: `+1 -0` - One line was deleted: `+0 -1` - One line was modified: `+1 -1` (git diff doesn't know about modified, it will interpret that line like one addition plus one deletion) - Change percentiles: Change characteristics (addition, deletion, modification) of this PR in relation to all other PRs within the repository.


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