
One of Search API’s key advantages is that custom search pages can be created using Views. This allows a high degree of customization, while relying on a familiar toolset.
In this tutorial, we'll:
- Describe how to use Views to create a search page
- Explain search page best practices, including requiring input and no-results text
By the end of this tutorial you should be able to create a page that users can use to search your site's content using the Solr search backend.
Drupal has the ability to support multiple Search API indexes within a single installation. While adding a new index is easy, we must understand the implications of creating and using multiple Search API indexes.
In this tutorial, we'll:
- Identify when to create multiple indexes in Search API
- Define virtual indexes, and their performance implications
Processors allow you to augment your search indexes by performing additional operations before or after the index operation. This can make your search more flexible.
In this tutorial, we'll:
- Identify what a processor is, and when it can be employed in the search pipeline.
- List useful processors provided by Search API.
- Describe how to apply a processor to an index, and why reindexing is necessary.
Excerpts are brief snippets of text displayed in search results. They give context to how the search terms relate to the result. Search API provides support for excerpts out of the box.
In this tutorial, we'll:
- Identify how to apply excerpts to a search index
- Describe how to add excerpt display to the search view
By the end of this tutorial you should be able to use the Highlight search processor to add excerpts to search results.
Autocomplete provides a brief and quick list of results to the user while typing. While this functionality isn’t available out of the box, it’s easy to add using an additional contributed module, Search API Autocomplete.
In this tutorial, we'll:
- Describe how to add autocomplete functionality to an existing index
By the end of this tutorial you should be able to add an autocomplete feature to the search query text field.
One of the key advantages of custom search is to do more than provide a single, global search box. Filtering allows you to divide results to a subset.
In this tutorial, we'll:
- Describe how to configure filtering through use of a taxonomy field
- Explain the disadvantages of this approach, including how it relies on Views to reduce results rather than Solr
Filtering results allows us to divide up the result set along one or more dimensions. It’s built in to Search API, but often we need a slightly different approach. Drill-down search or faceted searching allows us to constrain (rather than divide) our result set to one or more dimensions. The contributed Facets module provides this functionality.
In this tutorial, we'll:
- Describe how facets constrains results to preconfigured dimensions
- Demonstrate how use of a facet also constrains the possible selections for other facets
- List the steps for installing Facets module
- Describe the field types best used for creating facets
By the end of this tutorial you should be able to explain what facets are and how they work in the context of searching a Drupal site's content.
Creating a facet in Drupal is rather different from using Facets API in Drupal 7. In the new module, we first create a search view, and then configure facets against target fields in the index. Once created, we must configure the facet UI to appear on target pages using the Blocks UI.
In this tutorial, we'll:
- List the steps necessary to create a facet using a non-reference field (i.e. boolean, or text list)
- Explain why facets are displayed using blocks
- Describe the various facet display modes and uses for each
By the end of this tutorial you should be able to add a facet based on a text list field and allow users to filter search results using the values in the list field.
A powerful facet combination is to create a search Facet on a taxonomy field. This brings several advantages to how your search can be configured and displayed.
In this tutorial, we'll:
- Describe the additional complexities for using a reference field for a facet
- Show how to use taxonomy weights to control facet option order
By the end of this tutorial you should be able to add a facet that allows users to filter search result based on taxonomy terms.
In this gentle introduction to testing, we'll walk through what testing is and why it's important to your project. Then we'll define some terms you'll be likely to see while working with tests so that we're all on the same page. After reading through this tutorial you'll understand enough of the basic vocabulary to get started running (and eventually writing) tests for your Drupal site.
The testing suite for the Drupalize.Me site uses a different strategy for functional JavaScript testing. We use a tool called Nightwatch.js that allows us to write our tests in JavaScript that runs commands against a web browser. This browser automation allows us to test the types of interactions that a typical user of our website might encounter. It also allows us to test JavaScript code using JavaScript, and execute our tests in different browsers. In this tutorial we'll take a look at how to set up Nightwatch.js, and what the syntax looks like for a couple of basic tests.
When running tests with PHPUnit we need to specify a phpunit.xml file that contains the configuration that we want to use. Often times (and in much of the existing documentation) the recommendation is to copy the core/phpunit.xml.dist file to core/phpunit.xml and make your changes there. And this works fine, until something like a composer install
or composer update
ends up deleting your modified file. Instead, you should copy the file to a different location in your project and commit it to your version control repository.
In this tutorial we'll:
- Learn how to move, and modify, the phpunit.xml.dist file provided by Drupal core
- Understand the benefits of doing so
- Demonstrate how to run
phpunit
with an alternative configuration file
By the end of this tutorial you should be able to commit your phpunit.xml configuration file to your project's Git repository and ensure it doesn't get accidentally deleted.
This tutorial will clarify some basic ideas about software testing. We'll give some strategies for testing and illustrate types of tests and when and why you'd use them. This document is written with Drupal in mind, but the concepts apply for other development environments you'll encounter as well. The tools will be different, but the ideas apply universally. By the end of this tutorial, you should understand what testing is for and how different types of tests support different purposes and outcomes.
Drupal Console
FreeThe Drupal Console is a suite of tools run from a command line interface (CLI) to generate boilerplate code and interact with a Drupal installation.
Note: This project is no longer actively maintained. See the Drush topic for alternative solutions.
To follow along with our Drupal Views tutorials, set up a Drupal site loaded with our 4 custom views and baseball stats content that will make querying in Views a bit more interesting and meaningful.
By the end of this tutorial, you should choose a solution and follow the instructions for creating a Drupal site loaded with our starting point content and views.
Upgrade to Drupal 11
FreeThere’s no one-size-fits-all path to upgrade from Drupal 10 to Drupal 11, but there is a set of common tasks that everyone will need to complete.
In this tutorial we’ll:
- Explain the differences between Drupal 10 and Drupal 11 that affect the upgrade path.
- Walk through the high-level steps required to upgrade from Drupal 10 to Drupal 11.
- Provide resources to help you create an upgrade checklist and start checking items off the list.
By the end of this tutorial you should be able to:
- Explain the major differences between Drupal 10 and 11.
- Audit your existing Drupal 10 projects for Drupal 11 readiness, and estimate the level of effort involved.
- Start the process of upgrading your site from Drupal 10 to Drupal 11.
Managing a Drupal application with Composer requires a few modifications to Composer's default behavior. For instance, Drupal expects that specialized packages called "modules" be downloaded to modules/contrib rather than Composer's default vendor directory.
Additionally, it is common practice in the Drupal community to modify contributed projects with patches from Drupal.org. How do we incorporate Drupal-specific practices like these into a Composer workflow?
In this tutorial we will:
- Address all of the Drupal-specific configuration necessary to manage a Drupal application using Composer
By the end of this tutorial you should know how to configure Composer to work with Drupal, and drupal.org.
When managing your Drupal project with Composer you'll use Composer commands to download (require) modules and themes that you want to install, as well as issuing commands to keep those modules and themes up-to-date when new versions are released.
In this tutorial we'll:
- Cover step-by-step instructions for performing common Composer tasks for a Drupal application
- Install and update Drupal projects (core, modules, themes, profiles, etc.) using Composer
- Convert an existing application to use Composer
By the end of this tutorial you should know how to use Composer to install, and update, Drupal modules and themes.
What Is Docker?
FreeDocker 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
Install Docker
FreeInstalling 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