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Configuration Introduction

This guide focuses on getting you started with the core of the CircleCI experience - config.yml in the following simple steps:

Getting Started with CircleCI Config

This guide describes how CircleCI finds and runs config.yml and how you can use shell commands to do things, then it outlines how config.yml can interact with code and kick-off a build followed by how to use docker containers to run in precisely the environment that you need. Finally, there is a short exploration of workflows so you can learn to orchestrate your build, tests, security scans, approval steps, and deployment.

CircleCI believes in configuration as code. As a result, the entire delivery process from build to deploy is orchestrated through a single file called config.yml. The config.yml file is located in a folder called .circleci at the top of your project. CircleCI uses the YAML syntax for config, see the Writing YAML document for basics.

Part One: Hello, It’s All About the Shell

Let’s get started. CircleCI provides a powerful experience because we provide you an on-demand shell to run whatever you need. In this first example, we will show you how easy it is to setup your first build and execute a shell command.

  1. If you haven’t already, go ahead and sign-up with CircleCI and select either GitHub or Bitbucket. If you prefer, you can also sign up through the GitHub marketplace.
  2. Make sure the project you want to mange has been added.
  3. Add a .circleci folder at the top of your project’s master branch. If you want to experiment on a different branch, you can do that too. Make sure the folder starts with a period. This folder is special and hence the .circleci format.
  4. Add a config.yml file inside the .circleci folder.
  5. Add the following contents to your config.yml file.
version: 2.0
jobs:
 build:
   docker:
     - image: alpine:3.7
   steps:
     - run:
         name: The First Step
         command: |
           echo 'Hello World!'
           echo 'This is the delivery pipeline'

Check-in the config and see it run. You can see the output of the job in the CircleCI app.

Learnings

The CircleCI config syntax is very straight forward. The trickiest part is typically indentation. Make sure your indentation is consistent. This is the single most common error in config. Let’s go over the nine lines in details

  • Line 1: This indicates the version of the CircleCI platform you are using. 2.0 is the most recent version.
  • Line 2-3: The jobs level contains a collection of arbitrarily named children. build is the first named child in the jobs collection. In this case build is also the only job.
  • Line 4-5: The steps collection is an ordered list of run directives. Each run directive is executed in the order in which it was declared.
  • Line 6: The name attribute provides useful organizational information when returning warnings, errors, and output. The name should be meaningful to you as an action within your build process
  • Line 7-9: This is the magic. The command attribute is a list of shell commands that represent the work you want done. The initial pipe, |, indicates that there will be more than one line of shell commands. Here line 8 will print out Hello World in your build shell and line 9 will print out I’m the new delivery pipeline

Part Two: Info and Preparing to Build

That was nice but let’s get real. Delivery graphs start with code. In this example we will add a few lines that will get your code and then list it. We will also do this in a second run.

  1. If you haven’t already, please go through Part One and add a simple .circleci/config.yml file to your project.

  2. CircleCI provides a number of simplified commands that you can use to make complex interactions very easy. Here we are going to add the checkout command. This command automatically gets the branch code for you to work with in subsequent steps.

  3. Now, add a second run step and do an ls -al to see that all of your code is available.

version: 2.0
jobs:
 build:
   docker:
     - image: alpine:3.7
   steps:
     - checkout
     - run:
         name: The First Step
         command: |
           echo 'Hello World!'
           echo 'This is the delivery pipeline'
     - run:
         name: Code Has Arrived
         command: |
           ls -al
           echo '^^^That should look familiar^^^'

Learnings

Although we’ve only made two small changes to the config, these represent significant organizational concepts.

  • Line 7: The checkout command is an example of a built-in reserved word that contextualizes your job. In this case, it is pulling down your code so you can start a build.
  • Line 13-17: The second run on the build job is listing (through ls -al) the contents of the checkout. Your branch is now available for you to interact with.

Part Three: That’s nice but I need…

Every code base and project is different. That’s okay. We like diversity. This is one of the reasons we allow you to run in your machine or docker container of choice. In this case we will demonstrate running in a container with node available. Other examples might include macOS machines, java containers, or even GPU.

  1. This section expands on Part One and Two. If you haven’t already, go through at least Part One to ensure you have a working config.yml file in your branch.

  2. This is a very simple and yet amazingly powerful change. We are going to add a reference to a docker image for the build job.

version: 2.0
jobs:
 build:
   # pre-built images: https://circleci.com/docs/2.0/circleci-images/
   docker:
     - image: circleci/node:10-browsers
   steps:
     - checkout
     - run:
         name: The First Step
         command: |
           echo 'Hello World!'
           echo 'This is the delivery pipeline'
     - run:
         name: Code Has Arrived
         command: |
           ls -al
           echo '^^^That should look familiar^^^'
     - run:
         name: Running in a Unique Container
         command: |
           node -v

We also added a small run block that demonstrates we are running in a node container.

Learnings

The above two changes to the config significantly affect how you get work done. By associating a docker container to a job and then dynamically running the job in the container, you don’t need to perform special magic or operational gymnastics to upgrade, experiment or tune the environment you run in. With a small change you can dramatically upgrade a mongo environment, grow or shrink the base image, or even change languages.

  • Line 4: Here we see a comment in-line in yml. Like any other unit of code, comments are a useful tool as config gets complicated.
  • Line 5-6: These lines indicate that docker image to use for the job. Because you can have more than one job in your config (as we will see next) you can also run different parts of your config in different environments. For example, you could perform a build job in a thin java container and then perform a test job using a container with browsers pre-installed. In this case, it uses a pre-built container from CircleCI that already has a browser and other useful tools built in.
  • Line 9-12: These lines add a run step that returns the version of node available in the container. Try experimenting with different containers from CircleCI’s pre-built convenience images or even public containers from Docker hub.

Part Four: Approved to Start

So far so good? Let’s spend a moment on orchestration. In this example, we will spend more time doing analysis than step-by-step modification. The CircleCI workflow model is based on the orchestration of predecessor jobs. This is why the reserved word used for workflow definition is requires. Jobs initiation is always defined in terms of the successful completion of prior jobs. For example, a job vector such as [A, B, C] would be implemented with jobs B and C each requiring the job prior. Job A would not have a requires block because it starts immediately. For example, job A starts immediately; B requires A; C requires B.

In the example below, an event triggering a build will cause Hello-World to start immediately. The remainder of the jobs will wait. When Hello-World completes, both I-Have-Code and Run-With-Node will start. That is because both I-Have-Code and Run-With-Node require Hello-World to complete successfully before they can start. Next, the approval job called Hold-For-Approval will become available when both I-Have-Code and Run-With-Node complete. The Hold-For-Approval job is slightly different from the others. It represents a manual intervention to allow the workflow to continue. While the workflow is waiting for a user (through the CircleCI UI or API) to approve the job, all state is preserved based on the original triggering event. CircleCI understands that Approval jobs may take hours or even days before completing - although we suggest hours over days. Once Hold-For-Approval completes through a manual intervention, the final job Now-Complete will run.

All of the job names are arbitrary. This allows you to create workflows as complex as you need while staying meaningful and clear to the next developer that reads the config.yml.

version: 2.0
jobs:
 Hello-World:
   docker:
     - image: alpine:3.7
   steps:
     - run:
         name: Hello World
         command: |
           echo 'Hello World!'
           echo 'This is the delivery pipeline'
 I-Have-Code:
   docker:
     - image: alpine:3.7
   steps:
     - checkout
     - run:
         name: Code Has Arrived
         command: |
           ls -al
           echo '^^^That should look familiar^^^'
 Run-With-Node:
   docker:
     - image: circleci/node:10-browsers
   steps:
     - run:
         name: Running In A Container With Node
         command: |
           node -v
 Now-Complete:
   docker:
     - image: alpine:3.7
   steps:
     - run:
         name: Approval Complete
         command: |
           echo 'Do work once the approval has completed'

workflows:
 version: 2
 Example_Workflow:
   jobs:
     - Hello-World
     - I-Have-Code:
         requires:
           - Hello-World
     - Run-With-Node:
         requires:
           - Hello-World
     - Hold-For-Approval:
         type: approval
         requires:
           - Run-With-Node
           - I-Have-Code
     - Now-Complete:
         requires:
           - Hold-For-Approval

Learnings

We now know how to create a workflow including a manual gate that you can use to protect promotion of expensive interactions.

  • Line 3: The command that echo’s Hello World! has been turned in a full fledged job with the name Hello-World
  • Line 12: The commands to get code are now in a job named I-Have-Code
  • Line 22: The Node example using the CircleCI pre-built image is now called Run-With-Node
  • Line 30: There is an additional job that operates similarly to Hello-World but it won’t run until the approval is complete - see line 57 in the workflow stanza.
  • Line 39-57: The config now has a workflow. In the prior examples the CircleCI engine interpreted the config as having had a single-job workflow. Here we are staying clear and spelling out the workflow we want to execute. This workflow demonstrates several useful capabilities. The requires statement represents a list of prior jobs that must complete successfully prior to the job in question starting. In this example, both I-Have-Code and Run-With-Node must complete before Hold-For-Approval becomes active. In addition, both I-Have-Code and Run-With-Node are dependent on Hello-World but not on each other. . This means that those two jobs will run in parallel as soon as Hello-World is complete. This is useful if you have multiple jobs that are not directly dependent on one another and you want to improve wall-clock time.
  • Line 50-51: Most of the jobs are generic. However, this job has a type. In this case the type is Approval and requires a person through the CircleCI API or UI to take an action for the build to complete. Interleaving Approval jobs allows you to create gates that must be approved or managed prior to downstream jobs executing.

The examples above were designed to provide a quick starter to the areas of functionality available through CircleCI config. There remains a lot more. Take a look at the rest of the documentation. You will find that scheduled jobs, workspaces, artifacts, and more are all simple variations on the concepts you’ve learned here. Now go forth and automate your CI/CD world!