Reference: https://github.com/hashicorp/terraform/issues/30373
This change forward ports the `legacy_type_system` boolean fields in the `ApplyResourceChange.Response` and `PlanResourceChange.Response` messages that existed in protocol version 5, so that existing terraform-plugin-sdk/v2 providers can be muxed with protocol version 6 providers (e.g. terraform-plugin-framework) while also taking advantage of the newer protocol features. This functionality should not be used by any providers or SDKs except those built with terraform-plugin-sdk.
Updated via:
```shell
cp docs/plugin-protocol/tfplugin6.1.proto docs/plugin-protocol/tfplugin6.2.proto
# Copy legacy_type_system fields from tfplugin5.2.proto into ApplyResourceChange.Response and PlanResourceChange
rm internal/tfplugin6/tfplugin6.proto
ln -s ../../docs/plugin-protocol/tfplugin6.2.proto internal/tfplugin6/tfplugin6.proto
go run tools/protobuf-compile/protobuf-compile.go `pwd`
# Updates to internal/plugin6/grpc_provider.go
```
Previously we were just returning a string representation of the file mode,
which spends more characters on the irrelevant permission bits that it
does on the directory entry type, and is presented in a Unix-centric
format that likely won't be familiar to the user of a Windows system.
Instead, we'll recognize a few specific directory entry types that seem
worth mentioning by name, and then use a generic message for the rest.
The original motivation here was actually to deal with the fact that our
tests for this function were previously not portable due to the error
message leaking system-specific permission detail that are not relevant
to the test. Rather than just directly addressing that portability
problem, I took the opportunity to improve the error messages at the same
time.
However, because of that initial focus there are only actually tests here
for the directory case. A test that tries to test any of these other file
modes would not be portable and in some cases would require superuser
access, so we'll just leave those cases untested for the moment since they
weren't tested before anyway, and so we've not _lost_ any test coverage
here.
Terraform uses "implied" move statements to represent the situation where
it automatically handles a switch from count to no-count on a resource.
Because that situation requires targeting only a specific resource
instance inside a specific module instance, implied move statements are
always presented as if they had been declared in the root module and then
traversed through the exact module instance path to reach the target
resource.
However, that means they can potentially cross a module package boundary,
if the changed resource belongs to an external module. Normally we
prohibit that to avoid the root module depending on implementation details
of the called module, but Terraform generates these implied statements
based only on information in the called module and so there's no need to
apply that same restriction to implied move statements, which will always
have source and destination addresses belonging to the same module
instance.
This change therefore fixes a misbehavior where Terraform would reject
an attempt to switch from no-count to count in a called module, where
previously the author of the calling configuration had no recourse to fix
it because the change has actually happened upstream.
Previously the "terraform state ..." subcommands were the only way to
perform various manipulations of the state, but in recent Terraform
versions we have replaced these with better options.
Since these pages seem to already have pretty good search engine
optimization for the use-cases they are describing, we'll prioritize
mentioning the new approaches and only mention the now-deprecated or
de-emphasized features as a secondary approach.
Specifically:
- Describe the -replace=... planning option in preference to
"terraform taint", and present taint as primarily a mechanism for
Terraform to use itself, as opposed to something end-users should
typically use directly.
- Introduce the config-based refactoring features before describing
"terraform state mv".
The older features here are still applicable in some situations and are
required for those still using older versions of Terraform, so we will
retain the information about them for now while aiming to be clearer in
each case about which is our preferred, modern approach.
Now that variable evaluation checks for a nil expression the graph
transformer does not need to generate a synthetic expression for
variable defaults. This means that all default handling is now located
in one place, and we are not surprised by a configuration expression
showing up which doesn't actually exist in the configuration.
Rename nodeModuleVariable.evalModuleCallArgument to evalModuleVariable.
This method is no longer handling only the module call argument, it is
also dealing with the variable declaration defaults and validation
statements.
Add an additional tests for validation with a non-nullable variable.
In earlier Terraform versions we had an extra validation step prior to
the graph walk which tried to partially validate root module input
variable values (just checking their type constraints) and then return
error messages which specified as accurately as possible where the value
had originally come from.
We're now handling that sort of validation exclusively during the graph
walk so that we can share the main logic between both root module and
child module variable values, but previously that shared code wasn't
able to generate such specific information about where the values had
originated, because it was adapted from code originally written to only
deal with child module variables.
Here then we restore a similar level of detail as before, when we're
processing root module variables. For child module variables, we use
synthetic InputValue objects which state that the value was declared
in the configuration, thus causing us to produce a similar sort of error
message as we would've before which includes a source range covering
the argument expression in the calling module block.
Previously we had three different layers all thinking they were
responsible for substituting a default value for an unset root module
variable:
- the local backend, via logic in backend.ParseVariableValues
- the context.Plan function (and other similar functions) trying to
preprocess the input variables using
terraform.mergeDefaultInputVariableValues .
- the newer prepareFinalInputVariableValue, which aims to centralize all
of the variable preparation logic so it can be common to both root and
child module variables.
The second of these was also trying to handle type constraint checking,
which is also the responsibility of the central function and not something
we need to handle so early.
Only the last of these consistently handles both root and child module
variables, and so is the one we ought to keep. The others are now
redundant and are causing prepareFinalInputVariableValue to get a slightly
corrupted view of the caller's chosen variable values.
To rectify that, here we remove the two redundant layers altogether and
have unset root variables pass through as cty.NilVal all the way to the
central prepareFinalInputVariableValue function, which will then handle
them in a suitable way which properly respects the "nullable" setting.
This commit includes some test changes in the terraform package to make
those tests no longer rely on the mergeDefaultInputVariableValues logic
we've removed, and to instead explicitly set cty.NilVal for all unset
variables to comply with our intended contract for PlanOpts.SetVariables,
and similar. (This is so that we can more easily catch bugs in callers
where they _don't_ correctly handle input variables; it allows us to
distinguish between the caller explicitly marking a variable as unset vs.
not describing it at all, where the latter is a bug in the caller.)
Previously we had a significant discrepancy between these two situations:
we wrote the raw root module variables directly into the EvalContext and
then applied type conversions only at expression evaluation time, while
for child modules we converted and validated the values while visiting
the variable graph node and wrote only the _final_ value into the
EvalContext.
This confusion seems to have been the root cause for #29899, where
validation rules for root module variables were being applied at the wrong
point in the process, prior to type conversion.
To fix that bug and also make similar mistakes less likely in the future,
I've made the root module variable handling more like the child module
variable handling in the following ways:
- The "raw value" (exactly as given by the user) lives only in the graph
node representing the variable, which mirrors how the _expression_
for a child module variable lives in its graph node. This means that
the flow for the two is the same except that there's no expression
evaluation step for root module variables, because they arrive as
constant values from the caller.
- The set of variable values in the EvalContext is always only "final"
values, after type conversion is complete. That in turn means we no
longer need to do "just in time" conversion in
evaluationStateData.GetInputVariable, and can just return the value
exactly as stored, which is consistent with how we handle all other
references between objects.
This diff is noisier than I'd like because of how much it takes to wire
a new argument (the raw variable values) through to the plan graph builder,
but those changes are pretty mechanical and the interesting logic lives
inside the plan graph builder itself, in NodeRootVariable, and
the shared helper functions in eval_variable.go.
While here I also took the opportunity to fix a historical API wart in
EvalContext, where SetModuleCallArguments was built to take a set of
variable values all at once but our current caller always calls with only
one at a time. That is now just SetModuleCallArgument singular, to match
with the new SetRootModuleArgument to deal with root module variables.
This test seems to be a holdover from the many-moons-ago switch from one
graph for all operations to separate graphs for plan and apply. It is
effectively just a copy of a subset of the content of the Context.Validate
function and is a maintainability hazard because it tends to lag behind
updates to that function unless changes there happen to make it fail.
This test doesn't cover anything that the other validate context tests
don't exercise as an implementation detail of calling Context.Validate,
so I've just removed it with no replacement.
Our original messaging here was largely just lifted from the equivalent
message for unknown values in "count", and it didn't really include any
specific advice on how to update a configuration to make for_each valid,
instead focusing only on the workaround of using the -target planning
option.
It's tough to pack in a fully-actionable suggestion here since unknown
values in for_each keys tends to be a gnarly architectural problem rather
than a local quirk -- when data flows between modules it can sometimes be
unclear whether it'll end up being used in a context which allows unknown
values.
I did my best to summarize the advice we've been giving in community forum
though, in the hope that more people will be able to address this for
themselves without asking for help, until we're one day able to smooth
this out better with a mechanism such as "partial apply".
Thank you. Your suggestion to use "instead of" makes the sentence even more easy to understand.
Co-authored-by: Laura Pacilio <83350965+laurapacilio@users.noreply.github.com>
Normally when we cross-compile we do so without CGo, because we don't have
suitable C headers available for systems other than the host.
However, building for macOS on macOS is special because there are
sufficient headers available on darwin_amd64 to build for both
darwin_amd64 _and_ darwin_arm64. Also, we _must_ use CGo on macOS because
the system resolver is only available via darwin's libc, and so building
without CGo produces executables that don't resolve hostnames correctly.
This is a conditional in bash to avoid having to duplicate the entire
step. Perhaps later we'll find a more general version of this which can
avoid the special case, but this is sufficient for the moment.
We recently made a change to how provisioners upload files in order to
address an unintended remote code execution vector when using SSH, which
revealed that we had not previously documented well enough the expected
contract for how provisioners upload files to remote systems, and so some
users were depending on unintended consequences of the the bug now fixed.
We are retaining the fix on security-related grounds, but this is a good
prompt to be clearer in the docs about what exactly Terraform is doing
when asked to upload files over SSH and WinRM, so users can understand
what is supported and write their configurations accordingly.
This also includes an additional section to the v1.1 upgrade guide, since
we apparently neglected to document this intentional breaking change in
the first draft of that page.
Of course, provisioners as a whole remain a last resort, and so we're
documenting this as hopefully a helpful aid to those who have no other
option, and not meaning in any way to recommend their use for any new
use-cases.
The specific output order is meaningless, but it should always be the same after
two Encode() calls with identical (ignoring in-memory order) dependency sets.
In our build workflow we'll treat Linux distribution packaging (currently
.deb and .rpm packages) as a separate job, instead of embedding it into
the "build" job, so that this step can happen concurrently with the other
derived actions like the docker image build, and the e2etest runs.
We can use an extra matrix dimension to select which execution environment
we'll use for each GOOS/GOARCH pair, and thus avoid duplicating the
job definition for darwin just to set runs-on: macos-latest for it.
This is not really an intended use of a matrix dimension because it's
directly related to the existing "goos" one, rather than being an
independent third dimension, but it doesn't matter in practice because
we're using the "include" option to specify exact combinations, and thus
we're not relying on the built-in functionality to generate all possible
matrix combinations.
Laura Pacilio