Gatsby is an incredible static site generator that allows for React to be used
as the underlying rendering engine to scaffold out a static site that truly has
all the benefits expected in a modern web application. It does this by rendering
dynamic React components into static HTML content via server side
rendering at build time. This means that your users get all
the benefits of a static site such as the ability to work without JavaScript,
search engine friendliness, speedy load times, etc. without losing the dynamism
and interactivity that is expected of the modern web. Once rendered to static
HTML, client-side React/JavaScript can take over (if creating stateful
components or logic in componentDidMount
) and add dynamism to the statically
generated content.
Gatsby recently released a v1.0.0 with a bunch of new features, including (but not limited to) the ability to create content queries with GraphQL, integration with various CMSs—including WordPress, Contentful, Drupal, etc., and route based code splitting to keep the end-user experience as snappy as possible. In this post, we’ll take a deep dive into Gatsby and some of these new features by creating a static blog. Let’s get on it!
Getting started
Using the CLI
Gatsby ships with a great CLI (command line interface) that contains the functionality of scaffolding out a working site as well as commands to help develop the site once created.
gatsby new personal-blog && cd $_
This command will create the folder personal-blog
and then change into that
directory. A working gatsby
statically generated application can now be
developed upon. The CLI generates common development scripts to help you get started.
For example you can run npm run build
(build a production, statically generated version of the project) or npm run develop
(launch a hot-reload enabled web development server),
etc.
We can now begin the exciting task of actually developing on the site and
creating a functional, modern blog. You’ll generally want to use npm run develop
to launch the local development server to validate functionality as we
progress through the steps.
Adding necessary plugins
Gatsby supports a rich plugin interface, and many incredibly useful plugins have been authored to make accomplishing common tasks a breeze. Plugins can be broken up into three main categories: functional plugins, source plugins, and transformer plugins.
Functional plugins
Functional plugins either implement some functionality (e.g. offline support, generating a sitemap, etc.) or they extend Gatsby’s webpack configuration adding support for TypeScript, Sass, etc.
For this particular blog post, we want a single page app-like feel (without page
reloads) as well as the ability to dynamically change the title
tag within
the head
tags. As noted, the Gatsby plugin ecosystem is rich, vibrant, and
growing, so oftentimes a plugin already exists that solves the particular
problem you’re trying to solve. To address the functionality we want for this
blog, we’ll use the following plugins:
gatsby-plugin-catch-links
- implements the history
pushState
API and does not require a page reload on navigating to a different page in the blog
- implements the history
gatsby-plugin-react-helmet
- react-helmet is a tool that allows for modification of the
head
tags; Gatsby statically renders any of thesehead
tag changes
- react-helmet is a tool that allows for modification of the
with the following command:
yarn add gatsby-plugin-catch-links gatsby-plugin-react-helmet
We’re using yarn, but npm can just as easily be used with npm i --save [deps]
.
After installing each of these functional plugins, we’ll edit
gatsby-config.js
, which Gatsby loads at build-time to implement the exposed
functionality of the specified plugins.
module.exports = {
siteMetadata: {
title: `Your Name - Blog`,
author: `Your Name`,
},
plugins: ["gatsby-plugin-catch-links", "gatsby-plugin-react-helmet"],}
Without any additional work besides a yarn install
and editing a config file,
we now have the ability to edit our site’s head tags as well as implement a
single page app feel without reloads. Now, let’s enhance the base functionality
by implementing a source plugin which can load blog posts from our local file
system.
Source plugins
Source plugins create nodes which can then be transformed into a usable format
(if not already usable) by a transformer plugin. For instance, a typical
workflow often involves using
gatsby-source-filesystem
, which loads files off of
disk—e.g. Markdown files—and then specifying a Markdown transformer to
transform the Markdown into HTML.
Since the bulk of the blog’s content and each article will be authored in
Markdown, let’s add that gatsby-source-filesystem
plugin. Similarly to our previous step, we’ll install the plugin and then inject
into our gatsby-config.js
, like so:
yarn add gatsby-source-filesystem
module.exports = {
// previous configuration
plugins: [
"gatsby-plugin-catch-links",
"gatsby-plugin-react-helmet",
{ resolve: `gatsby-source-filesystem`, options: { path: `${__dirname}/src/pages`, name: "pages", }, }, ],
}
Some explanation will be helpful here! An options
object can be passed to a
plugin, and we’re passing the filesystem path
(which is where our Markdown files
will be located) and then a name
for the source files. Now that Gatsby knows
about our source files, we can begin applying some useful transformers to
convert those files into usable data!
Transformer plugins
As mentioned, a transformer plugin takes some underlying data format that is not inherently usable in its current form (e.g. Markdown, json, yaml, etc.) and transforms it into a format that Gatsby can understand and that we can query against with GraphQL. Jointly, the filesystem source plugin will load file nodes (as Markdown) off of our filesystem, and then the Markdown transformer will take over and convert to usable HTML.
We’ll only be using one transformer plugin (for Markdown), so let’s get that installed.
- gatsby-transformer-remark
- Uses the remark Markdown parser to transform .md files on disk
into HTML; additionally, this transformer can optionally take plugins to
further extend functionality—e.g. add syntax highlighting with
gatsby-remark-prismjs
,gatsby-remark-copy-linked-files
to copy relative files specified in markdown,gatsby-remark-images
to compress images and add responsive images withsrcset
, etc.
- Uses the remark Markdown parser to transform .md files on disk
into HTML; additionally, this transformer can optionally take plugins to
further extend functionality—e.g. add syntax highlighting with
The process should be familiar by now, install and then add to config.
yarn add gatsby-transformer-remark
and editing gatsby-config.js
module.exports = {
// previous setup
plugins: [
"gatsby-plugin-catch-links",
"gatsby-plugin-react-helmet",
{
resolve: `gatsby-source-filesystem`,
options: {
path: `${__dirname}/src/pages`,
name: "pages",
},
},
{ resolve: "gatsby-transformer-remark", options: { plugins: [], // just in case those previously mentioned remark plugins sound cool :) }, }, ],
}
Whew! Seems like a lot of set up, but collectively these plugins are going to super charge Gatsby and give us an incredibly powerful (yet relatively simple!) development environment. We have one more setup step and it’s an easy one. We’re simply going to create a Markdown file that will contain the content of our first blog post. Let’s get to it.
Writing our first Markdown blog post
The gatsby-source-filesystem
plugin we configured earlier expects our content
to be in src/pages
, so that’s exactly where we’ll put it!
Gatsby is not at all prescriptive in naming conventions, but a typical practice
for blog posts is to name the folder something like MM-DD-YYYY-title
, e.g.
07-12-2017-hello-world
. Let’s do just that. Create the folder
src/pages/07-12-2017-getting-started
and place an index.md
inside!
The content of this Markdown file will be our blog post, authored in Markdown (of course!). Here’s what it’ll look like:
---
path: "/hello-world"
date: 2017-07-12T17:12:33.962Z
title: "My First Gatsby Post"
---
Oooooh-weeee, my first blog post!
Fairly typical stuff, except for the block surrounded in dashes. What is that?
That is what is referred to as frontmatter
, and the contents of
the block can be used to inject React components with the specified data, e.g.
path, date, title, etc. Any piece of data can be injected here (e.g. tags,
sub-title, draft, etc.), so feel free to experiment and find what necessary
pieces of frontmatter are required to achieve an ideal blogging system for your
usage. One important note is that path
will be used when we dynamically create
our pages to specify the URL/path to render the file (in a later step!). In this
instance, http://localhost:8000/hello-world
will be the path to this file.
Now that we have created a blog post with frontmatter and some content, we can begin actually writing some React components that will display this data!
Creating the (React) template
As Gatsby supports server side rendering (to string) of React components, we can write our template in… you guessed it, React! (Or Preact, if that’s more your style)
We’ll want to create the file src/templates/blog-post.js
(please create the
src/templates
folder if it does not yet exist!).
import React from "react"
import { Helmet } from "react-helmet"
// import '../css/blog-post.css'; // make it pretty!
export default function Template({
data, // this prop will be injected by the GraphQL query we'll write in a bit
}) {
const { markdownRemark: post } = data // data.markdownRemark holds our post data
return (
<div className="blog-post-container">
<Helmet title={`Your Blog Name - ${post.frontmatter.title}`} />
<div className="blog-post">
<h1>{post.frontmatter.title}</h1>
<div
className="blog-post-content"
dangerouslySetInnerHTML={{ __html: post.html }}
/>
</div>
</div>
)
}
Whoa, neat! This React component will be rendered to a static HTML string (for each route/blog post we define), which will serve as the basis of our routing/navigation for our blog.
At this point, there is a reasonable level of confusion and “magic” occurring,
particularly with the props injection. What is markdownRemark
? Where is this
data
prop injected from? All good questions, so let’s answer them by writing a
GraphQL query to seed our <Template />
component with content!
Writing the GraphQL query
Below the Template
declaration, we’ll want to add a GraphQL query. This is an
incredibly powerful utility provided by Gatsby which lets us pick and choose
very simply the pieces of data that we want to display for our blog post. Each
piece of data our query selects will be injected via the data
property we
specified earlier.
import React from "react"
import { Helmet } from "react-helmet"
import { graphql } from "gatsby"
// import '../css/blog-post.css';
export default function Template({ data }) {
const { markdownRemark: post } = data
return (
<div className="blog-post-container">
<Helmet title={`Your Blog Name - ${post.frontmatter.title}`} />
<div className="blog-post">
<h1>{post.frontmatter.title}</h1>
<div
className="blog-post-content"
dangerouslySetInnerHTML={{ __html: post.html }}
/>
</div>
</div>
)
}
export const pageQuery = graphql` query BlogPostByPath($path: String!) { markdownRemark(frontmatter: { path: { eq: $path } }) { html frontmatter { date(formatString: "MMMM DD, YYYY") path title } } }`
If you’re not familiar with GraphQL, this may seem slightly confusing, but we can break down what’s going down here piece by piece.
Note: To learn more about GraphQL, consider this excellent resource
The underlying query name BlogPostByPath
(note: these query names need to be
unique!) will be injected with the current path, e.g. the specific blog post we
are viewing. This path will be available as $path
in our query. For instance,
if we were viewing our previously created blog post, the path of the file that
data will be pulled from will be /hello-world
.
markdownRemark
will be the injected property available via the prop data
, as
named in the GraphQL query. Each property we pull via the GraphQL query will be
available under this markdownRemark
property. For example, to access the
transformed HTML we would access the data
prop via data.markdownRemark.html
.
frontmatter
, is of course our data structure we provided at the beginning of
our Markdown file. Each key we define there will be available to be injected
into the query.
At this point, we have a bunch of plugins installed to load files off of disk, transform Markdown to HTML, and other utilities. We have a single, lonely Markdown file that will be rendered as a blog post. Finally, we have a React template for blog posts as well as a wired up GraphQL query to query for a blog post and inject the React template with the queried data. Next up: programmatically creating the necessary static pages (and injecting the templates) with Gatsby’s Node API. Let’s get down to it.
An important note to make at this point is that the GraphQL query takes place at
build time. The component is injected with the data
prop that is seeded by
the GraphQL query. Unless anything dynamic (e.g. logic in componentDidMount
,
state changes, etc.) occurs, this component will be pure, rendered HTML
generated via the React rendering engine, GraphQL, and Gatsby!
Creating the static pages
Gatsby exposes a powerful Node API, which allows for functionality such as
creating dynamic pages (blog posts!), extending the babel or webpack configs,
modifying the created nodes or pages, etc. This API is exposed in the
gatsby-node.js
file in the root directory of your project—e.g. at the same
level as gatsby-config.js
. Each export found in this file will be parsed by
Gatsby, as detailed in its Node API specification. However, we only
care about one particular API in this instance, createPages
.
const path = require("path")
exports.createPages = ({ actions, graphql }) => {
const { createPage } = actions
const blogPostTemplate = path.resolve(`src/templates/blog-post.js`)
}
Nothing super complex yet! We’re using the createPages
API (which Gatsby will
call at build time with injected parameters). We’re also grabbing the path to
our blogPostTemplate we created earlier. Finally, we’re using the createPage
action creator/function made available in actions. Gatsby uses Redux
internally to manage its state, and actions
are simply the exposed
action creators of Gatsby, of which createPage
is one of the action creators!
For the full list of exposed action creators, check out Gatsby’s
documentation. We can now construct the GraphQL
query, which will fetch all of our Markdown posts.
Querying for posts
const path = require("path")
exports.createPages = ({ actions, graphql }) => {
const { createPage } = actions
const blogPostTemplate = path.resolve(`src/templates/blog-post.js`)
return graphql(` { allMarkdownRemark( sort: { order: DESC, fields: [frontmatter___date] } limit: 1000 ) { edges { node { frontmatter { path } } } } } `).then(result => { if (result.errors) { return Promise.reject(result.errors) } })}
We’re using GraphQL to get all Markdown nodes and making them available under
the allMarkdownRemark
GraphQL property. Each exposed property (on node
) is
made available for querying against. We’re effectively seeding a GraphQL
“database” that we can then query against via page-level GraphQL queries. One
note here is that the exports.createPages
API expects a Promise to be
returned, so it works seamlessly with the graphql
function, which returns a
Promise (although note a callback API is also available if that’s more your
thing).
One cool note here is that the gatsby-plugin-remark
plugin exposes some useful
data for us to query with GraphQL, e.g. excerpt
(a short snippet to display as
a preview), id
(a unique identifier for each post), etc.
We now have our query written, but we haven’t yet programmatically created the
pages (with the createPage
action creator). Let’s do that!
Creating the pages
const path = require("path")
exports.createPages = ({ actions, graphql }) => {
const { createPage } = actions
const blogPostTemplate = path.resolve(`src/templates/blog-post.js`)
return graphql(`
{
allMarkdownRemark(
sort: { order: DESC, fields: [frontmatter___date] }
limit: 1000
) {
edges {
node {
frontmatter {
path
}
}
}
}
}
`).then(result => {
if (result.errors) {
return Promise.reject(result.errors)
}
result.data.allMarkdownRemark.edges.forEach(({ node }) => { createPage({ path: node.frontmatter.path, component: blogPostTemplate, context: {}, // additional data can be passed via context }) }) })
}
We’ve now tied into the Promise chain exposed by the graphql
query. The actual
posts are available via the path result.data.allMarkdownRemark.edges
. Each
edge contains an internal node, and this node holds the useful data that we will
use to construct a page with Gatsby. Our GraphQL “shape” is directly reflected
in this data object, so each property we pulled from that query will be
available when we are querying in our GraphQL blog post template.
The createPage
API accepts an object which requires path
and component
properties to be defined, which we have done above. Additionally, an optional
property context
can be used to inject data and make it available to the blog
post template component via injected props (log out props to see each available
prop!). Each time we build with Gatsby, createPage
will be called, and Gatsby
will create a static HTML file of the path we specified in the post’s
frontmatter—the result of which will be our stringified and parsed React
template injected with the data from our GraphQL query. Whoa, it’s actually
starting to come together!
We can run yarn develop
at this point and then navigate to
http://localhost:8000/hello-world
to see our first blog post, which should
look something like below:
At this point, we’ve created a single static blog post as an HTML file, which was created by a React component and several GraphQL queries. However, this isn’t a blog! We can’t expect our users to guess the path of each post, we need to have an index or listing page, where we display each blog post, a short snippet, and a link to the full blog post. Wouldn’t you know it, we can do this incredibly easily with Gatsby, using a similar strategy as we used in our blog template, i.e. a React component and a GraphQL query.
Creating the Blog Listing
I won’t go into quite as much detail for this section because we’ve already done something very similar for our blog template! Look at us, we’re pro Gatsby-ers at this point!
Gatsby has a standard for “listing pages,” and they’re placed in the root of our
filesystem we specified in gatsby-source-filesystem
, e.g.
src/pages/index.js
. So, create that file if it does not exist, and let’s get it
working! Additionally, note that any static JavaScript files (that export a React
component!) will get a corresponding static HTML file. For instance, if we
create src/pages/tags.js
, the path http://localhost:8000/tags/
will be
available within the browser and the statically generated site.
import React from "react"
import { Link, graphql } from "gatsby"
import { Helmet } from "react-helmet"
// import '../css/index.css'; // add some style if you want!
export default function Index({ data }) {
const { edges: posts } = data.allMarkdownRemark
return (
<div className="blog-posts">
{posts
.filter(post => post.node.frontmatter.title.length > 0)
.map(({ node: post }) => {
return (
<div className="blog-post-preview" key={post.id}>
<h1>
<Link to={post.frontmatter.path}>{post.frontmatter.title}</Link>
</h1>
<h2>{post.frontmatter.date}</h2>
<p>{post.excerpt}</p>
</div>
)
})}
</div>
)
}
export const pageQuery = graphql`
query IndexQuery {
allMarkdownRemark(sort: { order: DESC, fields: [frontmatter___date] }) {
edges {
node {
excerpt(pruneLength: 250)
id
frontmatter {
title
date(formatString: "MMMM DD, YYYY")
path
}
}
}
}
}
`
OK! So we’ve followed a similar approach to our blog post template, so this
should hopefully seem pretty familiar. Once more we’re exporting pageQuery
which contains a GraphQL query. Note that we’re pulling a slightly different
data set — specifically, we are pulling an excerpt
of 250 characters rather than
the full HTML as we are formatting the pulled date with a format
string! GraphQL is awesome.
The actual React component is fairly trivial, but one important note should be
made. It’s important that when linking to internal content, e.g. other blog
links, that you should always use Link
from gatsby
. Gatsby does not work if pages
are not routed via this utility. Additionally, this utility also works with
pathPrefix
, which allows for a Gatsby site to be deployed on a non-root domain.
This is useful if this blog will be hosted on something like GitHub Pages or
perhaps hosted at /blog
.
Now, this is getting exciting and it feels like we’re finally getting somewhere!
At this point, we have a fully functional blog generated by Gatsby, with real
content authored in Markdown, a blog listing, and the ability to navigate around
in the blog. If you run yarn develop
, http://localhost:8000
should display a
preview of each blog post, and each post title links to the content of the blog
post. A real blog!
It’s now on you to make something incredible with the knowledge you’ve gained in following along with this tutorial! You can not only make it pretty and style with CSS (or styled-components!), but you could improve it functionally by implementing some of the following:
- Add a tag listing and tag search page
- hint: the
createPages
API ingatsby-node.js
file is useful here, as is frontmatter
- hint: the
- adding navigation between a specific blog post and past/present blog posts
(the
context
API ofcreatePages
is useful here), etc.
With our new found knowledge of Gatsby and its API, you should feel empowered to begin to utilize Gatsby to its fullest potential. A blog is just the starting point; Gatsby’s rich ecosystem, extensible API, and advanced querying capabilities provide a powerful toolset for building truly incredible, performant sites.
Now go build something great.
Links
@dschau/gatsby-blog-starter-kit
- A working repo demonstrating all of the aforementioned functionality of Gatsby
@dschau/create-gatsby-blog-post
- A utility and CLI I created to scaffold out a blog post following the predefined Gatsby structure with frontmatter, date, path, etc.
- Source code for my blog
- The source code for my blog, which takes the gatsby-starter-blog-post (previous link), and expands upon it with a bunch of features and some more advanced functionality