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Martin Atkins d4776e8ef1 lang/funcs: type conversion functions can convert null values
We had intended these functions to attempt to convert any given value, but
there is a special behavior in the function system where functions must
opt in to being able to handle dynamically-typed arguments so that we
don't need to repeat the special case for that inside every function
implementation.

In this case we _do_ want to specially handle dynamically-typed values,
because the keyword "null" in HCL produces
cty.NullVal(cty.DynamicPseudoType) and we want the conversion function
to convert it to a null of a more specific type.

These conversion functions are already just a thin wrapper around the
underlying type conversion functionality anyway, and that already supports
converting dynamic-typed values in the expected way, so we can just opt
in to allowing dynamically-typed values and let the conversion
functionality do the expected work.

Fixing this allows module authors to use type conversion functions to
give additional type information to Terraform in situations that are too
ambiguous to be handled automatically by the type inference/unification
process. Previously tostring(null) was effectively a no-op, totally
ignoring the author's request to treat the null as a string.
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Terraform

Terraform

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:

  • 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.

  • 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.

  • 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.

  • 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.

License

Mozilla Public License v2.0