If the user wishes to interrupt the running operation, only the first
interrupt was communicated to the operation by canceling the provided
context. A second interrupt would start the shutdown process, but not
communicate this to the running operation. This order of event could
cause partial writes of state.
What would happen is that once the command returns, the plugin system
would stop the provider processes. Once the provider processes dies, all
pending Eval operations would return return with an error, and quickly
cause the operation to complete. Since the backend code didn't know that
the process was shutting down imminently, it would continue by
attempting to write out the last known state. Under the right
conditions, the process would exit part way through the writing of the
state file.
Add Stop and Cancel CancelFuncs to the RunningOperation, to allow it to
easily differentiate between the two signals. The backend will then be
able to detect a shutdown and abort more gracefully.
In order to ensure that the backend is not in the process of writing the
state out, the command will always attempt to wait for the process to
complete after cancellation.
Internally, triton-go has changed how it handles errors. We can now get rid of
checking strings for errors, and we have introduced an errors library that
wraps some of the major errors we encounter and test for
Triton Manta allows an account other than the main triton account to be used via RBAC.
Here we expose the SDC_USER / TRITON_USER options to the backend so that a user can be specified.
This creates a unique bucket name for each test, so that the tests in
parallel don't collide, and buckets left over from interrupted tests
don't cause future failures.
Also make sure that buckets are removed, regardless of content.
The backend was creating bucket named in the configuration if it didn't
exist. We don't allow other backends to do this, because these are not
managed resources that terraform can control.
Previously there was a problem with double-locking when using the GCS backend with the terraform_remote_state data source.
Here we adjust the locking methodology to avoid that problem.
Validation is the best time to return detailed diagnostics
to the user since we're much more likely to have source
location information, etc than we are in later operations.
This change doesn't actually add any detail to the messages
yet, but it changes the interface so that we can gradually
introduce more detailed diagnostics over time.
While here there are some minor adjustments to some of the
messages to improve their consistency with terminology we
use elsewhere.
This PR changes manta from being a legacy remote state client to a new backend type. This also includes creating a simple lock within manta
This PR also unifies the way the triton client is configured (the schema) and also uses the same env vars to set the backend up
It is important to note that if the remote state path does not exist, then the backend will create that path. This means the user doesn't need to fall into a chicken and egg situation of creating the directory in advance before interacting with it
Reuse the running consul server for all tests.
Update the lostLockConnection package, since the api client should no
longer lose a lock immediately on network errors.
This is from a commit just after the v1.0.0 release, because it removes
the Porter service dependency for tests. The client api package was not
changed.
Previously we forced all remote state backends to be wrapped in a
BackupState wrapper that generates a local "terraform.tfstate.backup"
file before updating the remote state.
This backup mechanism was motivated by allowing users to recover a
previous state if user error caused an undesirable change such as loss
of the record of one or more resources. However, it also has the downside
of flushing a possibly-sensitive state to local disk in a location where
users may not realize its purpose and accidentally check it into version
control. Those using remote state would generally prefer that state never
be flushed to local disk at all.
The use-case of recovering older states can be dealt with for remote
backends by selecting a backend that has preservation of older versions
as a first-class feature, such as S3 versioning or Terraform Enterprise's
first-class historical state versioning mechanism.
There remains still one case where state can be flushed to local disk: if
a write to the remote backend fails during "terraform apply" then we will
still create the "errored.tfstate" file to allow the user to recover. This
seems like a reasonable compromise because this is done only in an
_exceptional_ case, and the console output makes it very clear that this
file has been created.
Fixes#15339.
Since bucket names must be *globally* unique. By including the project
ID in the bucket name we ensure that people don't step on each other's
feet when testing.
This calls backend.TestBackend() and remote.TestRemoteLocks() for
standardized acceptance tests. It removes custom listing tests since
those are performed by backend.TestBackend(), too.
Since each tests uses its own bucket, all tests can be run in parallel.
This resurrects the previously documented but unused "project" option.
This option is required to create buckets (so they are associated with the
right cloud project) but not to access the buckets later on (because their
names are globally unique).
James Bardin