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When helping folks in the community forum, I commonly see questions around more complex patterns in transforming deep data structures into different shapes to work with for_each. We have examples of these patterns in the docs for the functions that they rely on, but they were not previously very discoverable in the main configuration language documentation sections. Here I've moved the "Using Expressions in for_each" subsection on the Resources page above some of the other sub-sections to hopefully make it easier to see, and written out in more detail the two specific patterns that answer a significant number of for_each-related user questions in the hope that readers will be more likely to realize that the links are relevant to what their goals. I also added some more elaboration about the behavior of converting from list to set in the "Using Sets" subsection, because this feature is often a user's first encounter with the set data type and I've inferred from some of the questions I've answered that a number of Terraform users don't have prior experience with set data types in other languages to draw assumptions from. Finally, I added some similar links to the for_each patterns within the for expression documentation itself, to try to make those examples more visible to those who might be discovering the documentation in a different sequence, e.g. by following a deep link shared in an answer to a question in the community forum. |
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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 that each have their own repository in the terraform-providers organization on GitHub. Instructions for developing each provider are in the associated README file. For more information, see the provider development overview.
To learn more about compiling Terraform and contributing suggested changes, please refer to the contributing guide.