Commit 8f31fec introduced a bug for the 'service_account_key' resource
where it required a project be set either in the provider or in the
resource for 'service_account_key', but a project isn't required if the
service account is a service account fully qualified name or a service
account email.
This PR relaxes the requirement that a project needs to be set for the
'service_account_key' resource, 'service_account' datasource and
'service_account_key' datasource, but will error if we try to build a
fully qualified name from a service account id when no project can be
found.
This also cleans up 'serviceAccountFQN' so it is slightly easier to
follow and return an error if there is no project but we need one to
build the service account fully qualified name.
Fixes: #1655
Added node config 'disk_type' which can either be 'pd-standard' or
'pd-ssd', if left blank 'pd-standard' will be the default used by google
cloud.
Closes: #1656
## What
As well as https://github.com/terraform-providers/terraform-provider-google/pull/1282 , make `resource_container_node_pool` importer accept `{project}/{zone}/{cluster}/{name}` format to specify the project where the node pool belongs to actually.
## Why
Sometimes I want to import container pool in different project from default SA's. However, currently there is no way to specify project the target node pool belongs to, Terraform tries to retrieve node pool from SA's project, then it fails due to `You cannot import non-existent resources using Terraform import.` error.
As discussed in #1326, we're not going to remove name_prefix for
compute_ssl_certificate, because it makes the common use case more
ergonomic by a good amount, and the only cost is it's harder to maintain
the autogenerated code, and we've decided the benefits outweigh the
costs in this circumstance.
* Allow using in repo configuration for cloudbuild trigger
Cloudbuild triggers have a complex configuration that can be defined
from the API. When using the console, the more typical way of doing this
is to defined the configuration within the repository and point the
configuration to the file that defines the config.
This can be supported by sending the filename parameter instead of the
build parameter, however only one can be sent.
* Acceptance testing for cloudbuild trigger with filename
Ensure that when a cloudbuild repo trigger is created with a filename,
that filename is what actually ends up in the cloud.
* Don't specify "by default" in cloudbuild-trigger.
The docs shouldn't say that "cloudbuild.yaml" is used by default. There
is no default from the APIs, but the console suggest using this value.
Just say it's the typical value in documentation.
No longer ForceNew when adding an App Engine application to a project,
when modifying the auth domain, modifying the serving status, or
modifying the feature settings.
* Use errwrap to retain original error
* Use built-in Page function, only return names when listing services
This removes the custom logic on pagination and uses the built-in Page function in the SDK to make things a bit simpler. Additionally, I added a field filter to only return service names, which drastically reduces the size of the API call (important for slow connections, given how frequently this function is executed).
Also added errwrap to better trace where errors originate.
* Add helper function for diffing string slices
This just looked really nasty inline
* Batch 20 services at a time, handle precondition failed, better errwrap
This commit does three things:
1. It batches services to be enabled 20 at a time. The API fails if you try to enable more than 20 services, and this is documented in the SDK and API. I learned this the hard way. I think Terraform should "do the right thing" here and batch them in series' of twenty, which is what this does. Each batch is tried in serial, but I think making it parallelized is not worth the complexity tradeoffs.
2. Handle the precondition failed error that occurs randomly. This just started happened, but it affects at least two APIs consistently, and a rudimentary test showed that it failed 78% of the time (78/100 times in an hour). We should fix this upstream, but that failure rate also necessitates (in my opinion) some mitigation on the Terraform side until a fix is in place at the API level.
3. Use errwrap on errors for better tracing. It was really difficult to trace exactly which error was being throw. That's fixed.
* Updates from code review
* Add basic update for `google_kms_crypto_key` resource
Prior to this commit, any changes to `rotation_period` would
force a new resource as no `Update` was defined for the resource.
This commit introduces a basic `Update` through calling the
`Patch` service method. It only modifies the `rotation_period`,
and `next_rotation_time` at the moment, but this is reflective
of what is "allowed" on https://console.cloud.google.com/security/kms.
* Remove unused `Purpose` value in `CryptoKey`
We are only patching the `rotation_period`, and `next_rotation_time`,
so that value will not be affected.
* nit: format `Patch` operation to be in a single line
* Extend `TestAccKmsCryptoKey_rotation` test steps
- Test change in rotation period
- Test removal of rotation period
* Do not parse `NextRotationTime` if it is not set
* remove ForceNew: false
When creating a trigger by using the project defined in the schema we
enforce that the repo must be in that same project. We should be looking
at the project defined in the trigger_template data and falling back to
that first project if not found.
Closes: #1555
When enabling services, after the waiter returns, list the enabled
services and ensure the ones we enabled are in there. If not, retry. May
not always resolve#1393, but should help. Unfortunately, the real
answer is probably either:
1. For us to try and get the API updated to only return the waiter when
the service will consistently be available. I don't know how feasible
this is, but I'm willing to open a ticket.
2. For us to build retries into ~all our resources to retry for a set
amount of time when a service not enabled error is returned. This would
greatly slow down the provider in the case of the service legitimately
not being enabled, but is how other providers handle this class of
problem.
Unfortunately, due to the eventual consistency at play, this is a hard
issue to reproduce and prove, though it matches with my
experience--while testing this patch, one of the tests failed with the
error that the serviceusage API hadn't been enabled, but only on step 4
of the test, when calls had already succeeded. Which suggests eventual
consistency, to me. Regardless, this patch shouldn't _hurt_ and should
mostly be an imperceptible change to users, and should make instances
like #1393 less likely.
* vendor service usage api
* use serviceusage api instead of servicemanagement for project services
* add bigquery-json to test
* add import for project service
* add serviceusage_operation.go
When reading a project, both App Engine and Billing would fail if
_neither_ the default project the provider was configured with nor the
project being targeted had the App Engine Admin or Billing APIs
(respectively) enabled. We didn't catch this because our source project
obviously has both enabled.
This fixes the matter by checking the error returned from each of those,
and if it looks like an API not enabled error, logging it at warning
level instead of returning it as an error, which will let the read
proceed as usual.
IAP has no reasonable support policy, because PATCH is broken, and IAP
must be configured with an OAuth2 client ID and secret that belongs to
the project the app is associated with. There's no programmatic way to
create Clients. But we create the project and the app at the same time,
and we can't update because PATCH is broken. So this just drops IAP. It
also forces all our updates to ForceNew, because we can't update.
Also, adds more test coverage and docs, and fixes import by not relying
on the config for setting app engine info in state.