When the logic of a command depends on user input, it's useful to set up an interactive questionnaire inside the command code. This allows you to provide the user with more context about the input they're providing, and ensure that you collect all the necessary values. This is especially useful when the command uses a pre-defined list of options and the values require memorization. An example of this is the drush cache-clear command that comes with Drush core. It requires an argument indicating which cache to clear, which you can specify at the command line; however, if you invoke the command with no arguments it will present you with a list of cache bins to choose from and a UI for selecting one.

Drush 9+ can access the Input/Output (I/O) object via the $this->io() method. This object -- an instance of \Drush\Style\DrushStyle -- holds information about user-provided input, and utilities for manipulating that input. To ask a user a question, use an io() object in the command callback method. It can take over the execution flow of the command as needed to stop and gather additional input. The I/O system has various methods for asking confirmation or choice questions such as confirm() and select().

In addition to prompting for input, the I/O object can be used to provide other styling to the command, like progress bars.

In this tutorial we'll:

• Learn how to prompt the user for additional input
• Process the user's answer as part of the command execution flow

By the end of this tutorial you should understand how to prompt a user for additional input for a custom Drush command.

While Drush empowers all Drupal users with its commands, it's even more powerful when used in combination with scripting solutions such as Composer and Bash. Scripts can be used to power post-deployment tasks like importing new configuration or clearing the cache, as part of CI processes to sync a database from one environment to another, to run background processes on the server such as imports and migrations, search indexing, running cron, and much more. If you want to write Bash (or any other scripts) that interact with a Drupal site, then Drush is the tool for you.

In this tutorial we'll:

• Learn how to use Drush commands within Composer and Bash scripts
• Learn how to chain multiple Drush commands together in a script

By the end of this tutorial you'll know how to use Drush as part of a script that automates common or tedious tasks.

When you manage many Drupal websites, you may perform repetitive tasks that are common across all of your sites. In our experience, this usually relates to having a personal preference for how certain tasks are accomplished. For example, maybe you like to make backups of the database and files in a specific way before testing upgrades, or you have a set of scripts for running scans of core web vitals. Although these tasks can be bundled into a custom module, it could be useful to create a site-wide Drush command instead. Site-wide commands can be installed with Composer, managed in a separate Git repository, and act as a project dependency. This way they are easy to maintain through a separate upstream. Changes to this code will be reflected on all the sites where it's used.

In this tutorial we'll:

• Declare a custom site-wide Drush command
• Demonstrate how to use Composer to manage a package that contains a Drush command

By the end of this tutorial you'll be able to create a site-wide Drush command and manage the code with Git and Composer.

The Drupal Entity API makes it easy to define new custom content entity types. And in most cases whenever you want to store custom content in Drupal you should use the Entity API instead of making CRUD queries directly to the database. This ensures your code is more consistent, and allows you to take advantage of all the features of the Entity API like access control, Views module integration, and automatic JSON:API support. As well as making it easier for others to extend your custom content by ensuring all the proper hooks and lifecycle events get invoked when new content items get created, updated, and deleted.

In this tutorial we'll:

• Walk through the process of creating a custom content entity

By the end of this lesson you'll be able to create your own custom content entity contained in a module.

One of Drupal's more powerful features is the fine-grained ability to control permissions and control access to content. The Entity API helps enable this functionality by providing an interface to help define access control.

In this tutorial we'll:

• Look at how access control is handled, using Drupal core as an example.
• Demonstrate how to implement access control in a custom module.
• Learn about the hooks that allow developers to modify access control for entities provided by another module.

By the end of this tutorial you should have a better understanding of the entity access control system and how to work with it.

Entities are the building blocks that make up just about everything on a Drupal site. Regardless of whether entities provide configuration information or content, they are absolutely crucial to Drupal's data model.

In this tutorial we'll:

• Look at the overall class hierarchy between the various entity types to see how they're related.
• Examine differences between configuration and content entities in the code that defines them.
• Look at some of the core code required to create an entity type.

By the end of this lesson you should be able to use an example to create a custom entity type in code.

Often when building a site in Drupal you'll find yourself wanting to display a list of nodes, or find entities created by a particular author, or locate some content based on a particular set of criteria. Rather than querying the database directly, Drupal provides a helper class, EntityQuery, to make things a bit easier. The EntityQuery class will probably look very familiar to you if you're familiar with the Database API, or the EntityFieldQuery class in Drupal 7.

In this tutorial we'll:

• Go through several examples of using EntityQuery to find subsets of content.
• Demonstrate how to iterate over the results of an EntityQuery query.

By the end of this tutorial, you should understand how to use entity queries to create custom sets of data from entities.

When learning Drupal development, it won't be long before you encounter the word "entity" and the Entity API. But what are entities in Drupal? How can you use them to build your site? When should you use the Entity API?

This tutorial will explain Drupal's Entity system from a high level. We'll look at:

• The main problems the Entity system solves
• Key terms you should know
• Key concepts we'll explore as we dive into Drupal's Entity API

By the end of this tutorial you should be able to explain the problems that the Entity API solves, and when you should use it in your own code.

Drupal includes the Symfony Validator component, and provides an Entity Validation API to assist in validating the values of fields on an entity. By using the Entity Validation API you can ensure that you're validation logic is applied to Entity CRUD operations regardless of how they are triggered. Whether editing an Entity via a Form API form, or creating a new Entity via the REST API, the same validation code will be used.

Using the Entity Validation API in order to validate the value of a field on an entity requires:

• Defining (or choosing) a constraint plugin
• Defining (or choosing) a validation plugin
• Adding the constraint to the field definition

In this tutorial, we'll look at how this Validation API works and how it can be used in custom code to ensure our entities have properly constructed values. We'll look at how this validation works in Drupal core and how we can add our own additional constraints. We'll also see how to work with the error messages returned from the validator when our entity doesn't pass validation.

Docker often seems like an impenetrable product. Is it a VM system? A suite of development tools? A clustering product? A software distribution facility? When the answer is "yes" to each of these, it only becomes more confusing. For the Drupal developer, Docker is a way to provide a local development environment to run web server software.

In this tutorial, we'll:

• Define the terms hypervisor, virtual machine (VM), and containers
• List the advantages of containers over VMs
• List the advantages of Docker for Drupal developers

Installing Docker is easy, but there are some details you may want to consider before you download and run the installer.

In this tutorial, we'll focus on:

• Why Linux is Docker’s native environment
• The difference between Docker edge vs. Docker stable
• Why Docker for non-Linux requires a VM

Now that we know what Docker is, what containers are, and how to install Docker, just how do we use containers? While graphical user interfaces (GUI) exist for Docker, the primary way to interact with it is via the command line.

In this tutorial, we'll:

• Start Docker for Mac or Docker for Windows
• Use the docker run command to run a container interactively
• Break down the arguments of the docker run command

Containers are sandboxed applications that can be run anywhere, no matter the underlying host OS. Docker containers are quite different from VMs in a number of ways that need to be understood before we can use them to develop Drupal sites.

In this tutorial, we'll:

• Define a container
• Explain how a container is a more limited environment than a VM

When we use docker run to start a container, we download a compressed, ready-to-use container called an image. Images make containers easy to share via a registry like Docker Hub, but also affect how file storage works when using containers.

In this tutorial, we'll:

• Discuss how file storage works in Docker containers
• Describe images, base images, and the scratch image
• Identify layers and show how layers make up Docker's filesystem

Running a container interactively can be useful, but often it's not what we really need. A web server stack is made up of several components such as the Linux OS, the Apache web server, a PHP runtime, and a database such as MySQL. Collectively, we call this a LAMP stack. If we were to run these in Docker with what we now know, we'd have to keep open several terminal windows!

Obviously that's not what we want to do. Instead, we want to run the containers in the background. That way, we can use them like we would any web server. Fortunately, Docker makes running and managing a container in the background easy with just a few commands.

In this tutorial, we'll:

• Start a container in the background
• Use docker ps to list running Docker containers
• Use docker run to enter a container running in the background
• Use docker kill to stop a container running in the background

Often we don't want to run just one container at a time, but a set of containers that act together to provide a unit of functionality. Yet, docker run only starts one container at a time, with one command in each container at a time.

Docker Compose lets us overcome this limitation by allowing us to define a single file that describes multiple containers, their relationship to each other, and utilities to manage that set of containers as a single unit.

In this tutorial, we'll:

• Introduce Docker Compose
• Run multiple containers at once using Docker Compose
• Identify the purpose of docker-compose.yml
• Learn what resources a set of containers share

Docker Compose allows us to manage several related containers as a single group. We define container sets by creating a creating the Compose file, docker-compose.yml.

In this tutorial, we'll:

• Create the basic structure of the Compose file
• Define a container set using off-the-shelf containers
• Describe where to place it in your project
• See how directory names are significant in Compose

Once we have the docker-compose.yml file created, we can use it to work with a set of containers. Instead of the docker command, Docker Compose has its own command to work with multiple containers at once: docker-compose.

In this tutorial, we'll:

• Cover the basic usage of the Compose command
• Describe how to start, stop, and list running container sets

One of the biggest questions when first learning Docker is "How do we get data into and out of containers?" We can use docker-compose exec to interact with them on the command line, but that doesn't fulfill our needs as developers. Docker provides several mechanisms to share data with the container, each with specific purposes. Docker Compose lets us leverage each of those easily with just a few lines of YAML.

In this tutorial, we'll:

• Identify the various ways we can get data into containers
• Define volumes
• Describe how to use environment variables in Docker
• Describe how to expose network ports from a container set

Bind Volumes are essential to the Drupal developer when using Docker. They allow you to synchronize a directory on your laptop or workstation with a directory in the container. Changes can be replicated in either direction -- from the container to the host OS, or from the host OS to the container. You can add a bind volume to a Compose file with just a single line of code.

In this tutorial, we'll:

• Describe how to use the volumes key in your Compose file
• Best practices for describing mount points
• Introduce different synchronization strategies for volumes and which to use