Make sure duplicate depends_on entries are pruned from existing states
on read.
Make sure new state built from configs with multiple references to the
same resource only add it once to the Dependencies.
Starting with Go 1.8 betas, we've periodically received SIGQUITs on our
tests in Travis. The stack trace looks like this:
https://gist.github.com/mitchellh/abf09b0980f8ea01269f8d9d6133884d
The tests are timing out! This is a test that hasn't been touched really
in a very long time and has always passed. I've **reproduced this
locally** by setting `GOMAXPROCS=1` and running the test. By yielding
the scheduler in the hot loop, it now passes almost instantly every
time.
Perhaps the test can be written in a different way, but this gets tests
passing and I think will fix our periodic errors.
Fixes#10911
Outputs that aren't targeted shouldn't be included in the graph.
This requires passing targets to the apply graph. This is unfortunate
but long term should be removable since I'd like to move output changes
to the diff as well.
Fixes#11749
I'm **really** surprised this didn't come up earlier.
When only the state is available for a node, the advertised
referenceable name (the name used for dependency connections) included
the module path. This module path is automatically prepended to the
name. This means that probably every non-root resource for state-only
operations (destroys) didn't order properly.
This fixes that by omitting the path properly.
Multiple tests added to verify both graph correctness as well as a
higher level context test.
Will backport to 0.8.x
This switches to the Go "context" package for cancellation and threads
the context through all the way to evaluation to allow behavior based on
stopping deep within graph execution.
This also adds the Stop API to provisioners so they can quickly exit
when stop is called.
Fixes#10680
This moves TargetsTransformer to run after the transforms that add
module variables is run. This makes targeting work across modules (test
added).
This is a bug that only exists in the new graph, but was caught by a
shadow error in #10680. Tests were added to protect against regressions.
If a data source has explicit dependencies in `depends_on`, we can
assume the user has added those because of a dependency not tracked
directly in the config. If there are any entries in `depends_on`, don't
apply the data source early during Refresh.
Fixes#4645
This is something that never worked (even in legacy graphs), but as we
push forward towards encouraging multi-provider usage especially with
things like the Vault data source, I want to make sure we have this
right for 0.8.
When you have a config like this:
```
resource "foo_type" "name" {}
provider "bar" { attr = "${foo_type.name.value}" }
resource "bar_type" "name" {}
```
Then the destruction ordering MUST be:
1. `bar_type`
2. `foo_type`
Since configuring the client for `bar_type` requires accessing data from
`foo_type`. Prior to this PR, these two would be done in parallel. This
properly pushes forward the dependency.
There are more cases I want to test but this is a basic case that is
fixed.
Fixes#10440
This updates the behavior of "apply" resources to depend on the
destroy versions of their dependencies.
We make an exception to this behavior when the "apply" resource is CBD.
This is odd and not 100% correct, but it mimics the behavior of the
legacy graphs and avoids us having to do major core work to support the
100% correct solution.
I'll explain this in examples...
Given the following configuration:
resource "null_resource" "a" {
count = "${var.count}"
}
resource "null_resource" "b" {
triggers { key = "${join(",", null_resource.a.*.id)}" }
}
Assume we've successfully created this configuration with count = 2.
When going from count = 2 to count = 1, `null_resource.b` should wait
for `null_resource.a.1` to destroy.
If it doesn't, then it is a race: depending when we interpolate the
`triggers.key` attribute of `null_resource.b`, we may get 1 value or 2.
If `null_resource.a.1` is destroyed, we'll get 1. Otherwise, we'll get
2. This was the root cause of #10440
In the legacy graphs, `null_resource.b` would depend on the destruction
of any `null_resource.a` (orphans, tainted, anything!). This would
ensure proper ordering. We mimic that behavior here.
The difference is CBD. If `null_resource.b` has CBD enabled, then the
ordering **in the legacy graph** becomes:
1. null_resource.b (create)
2. null_resource.b (destroy)
3. null_resource.a (destroy)
In this case, the update would always have 2 values for `triggers.key`,
even though we were destroying a resource later! This scenario required
two `terraform apply` operations.
This is what the CBD check is for in this PR. We do this to mimic the
behavior of the legacy graph.
The correct solution to do one day is to allow splat references
(`null_resource.a.*.id`) to happen in parallel and only read up to to
the `count` amount in the state. This requires some fairly significant
work close to the 0.8 release date, so we can defer this to later and
adopt the 0.7.x behavior for now.
Fixes#10439
When a CBD resource depends on a non-CBD resource, the non-CBD resource
is auto-promoted to CBD. This was done in
cf3a259. This PR makes it so that we
also set the config CBD to true. This causes the proper runtime
execution behavior to occur where we depose state and so on.
So in addition to simple graph edge tricks we also treat the non-CBD
resources as CBD resources.
Fixes#10313
The new graph wasn't properly recording resource dependencies to a
specific index of itself. For example: `foo.bar.2` depending on
`foo.bar.0` wasn't shown in the state when it should've been.
This adds a test to verify this and fixes it.
terraform: more specific resource references
terraform: outputs need to know about the new reference format
terraform: resources w/o a config still have a referencable name
This makes the old graph also prune orphan outputs in modules.
This will fix shadow graph errors such as #9905 since the old graph will
also behave correctly in these scenarios.
Luckily, because orphan outputs don't rely on anything, we were able to
simply use the same transformer!
Fixes#9920
This was an issue caught with the shadow graph. Self references in
provisioners were causing a self-edge on destroy apply graphs.
We need to explicitly check that we're not creating an edge to ourself.
This is also how the reference transformer works.
Fixes a shadow graph error found during usage.
The new apply graph was only adding module variables that referenced
data that existed _in the graph_. This isn't a valid optimization since
the data it is referencing may be in the state with no diff, and
therefore available but not in the graph.
This just removes that optimization logic, which causes no failing
tests. It also adds a test that exposes the bug if we had the pruning
logic.
Found via a shadow graph failure:
Provider aliases weren't being configured by the new apply graph.
This was caused by the transform that attaches configs to provider nodes
not being able to handle aliases and therefore not attaching a config.
Added a test to this and fixed it.
Fixes#9444
This appears to be a regression from 0.7.0, but there were no tests
covering it so we missed it and changed the behavior at some point! Oh
no.
This PR make the ordering of multi-var access: `resource.name.*.attr`
consistent: it is the ordering of the count, not the lexical ordering of
the value. This allows behavior where two lists are indexed by count
index and can be assumed to be related (for example user data for an aws
instance, as shown in the above referenced issue).
Two new context tests added to cover this case.
