The cty.Transform for ignore_changes could return early when building a
map that had multiple ignored keys.
Refactor the function to try and separate the fast-path a little better,
and hopefully make it easier to follow.
When applying, we return early if only sensitivity changed between the
before and after values of the changeset. This avoids unnecessarily
invoking the provider.
Previously, we did not write the new value for a resource to the state
when this happened. The result was a permanent diff for resource updates
which only change sensitivity, as the apply step is skipped and the
state is unchanged.
This commit adds a state write to this shortcut return path, and fixes a
test for this exact case which was accidentally relying on a value diff
caused by an incorrect manual state value.
I originally drafted these docs in a context where I was relying on
GitHub's Markdown renderer, and carelessly imported them into the
Terraform website without verifying that the website's Markdown renderer
could process it. This particular quirk has bitten us before: the website
Markdown parser expects follow-on paragraphs in a list item to be indented
at least four spaces, and with less than that it ignores the leading
whitespace altogether and just understands a normal paragraph.
This change will cause the follow-on paragraphs to now correctly render
as part of the bullet points they are intended to be attached to.
* command/format: concise diff is no longer an experiment
Since state formatting goes through the "diff" printer, I have
repurposed the concise flag as a verbose flag, used only when printing
state. It's silly but it works!
* remove helper/experiment
With this experiment concluded, we no longer need helper/experiment. The
shadow experiment had not been touched in many years, so I removed all
references, and removed the package entirely. Any new experiments are
expected to be configuration experiments handled by our (other)
experiments package.
* check for the verbose flag consistently, in case we end up using it in plans in the future
Dmitry Tokarev