f2adfb6e2a
In many ways a deposed object is equivalent to an orphaned current object in that the only action we can take with it is to destroy it. However, we do still need to take some preparation steps in both cases: first, we must ensure we track the upgraded version of the existing object so that we'll be able to successfully render our plan, and secondly we must refresh the existing object to make sure it still exists in the remote system. We were previously doing these extra steps for orphan objects but not for deposed ones, which meant that the behavior for deposed objects would be subtly different and violate the invariants our callers expect in order to display a plan. This also created the risk that a deposed object already deleted in the remote system would become "stuck" because Terraform would still plan to destroy it, which might cause the provider to return an error when it tries to delete an already-absent object. This also makes the deposed object planning take into account the "skipPlanChanges" flag, which is important to get a correct result in the "refresh only" planning mode. It's a shame that we have almost identical code handling both the orphan and deposed situations, but they differ in that the latter must call different functions to interact with the deposed rather than the current objects in the state. Perhaps a later change can improve on this with some more refactoring, but this commit is already a little more disruptive than I'd like and so I'm intentionally deferring that for another day. |
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README.md
Terraform
- Website: https://www.terraform.io
- Forums: HashiCorp Discuss
- Documentation: https://www.terraform.io/docs/
- Tutorials: HashiCorp's Learn Platform
- Certification Exam: HashiCorp Certified: Terraform Associate
Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions.
The key features of Terraform are:
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Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.
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Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.
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Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.
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Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors.
For more information, see the introduction section of the Terraform website.
Getting Started & Documentation
Documentation is available on the Terraform website:
If you're new to Terraform and want to get started creating infrastructure, please check out our Getting Started guides on HashiCorp's learning platform. There are also additional guides to continue your learning.
Show off your Terraform knowledge by passing a certification exam. Visit the certification page for information about exams and find study materials on HashiCorp's learning platform.
Developing Terraform
This repository contains only Terraform core, which includes the command line interface and the main graph engine. Providers are implemented as plugins, and Terraform can automatically download providers that are published on the Terraform Registry. HashiCorp develops some providers, and others are developed by other organizations. For more information, see Extending Terraform.
To learn more about compiling Terraform and contributing suggested changes, please refer to the contributing guide.
To learn more about how we handle bug reports, please read the bug triage guide.