76 lines
5.6 KiB
Markdown
76 lines
5.6 KiB
Markdown
---
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title: Implementing Searching In Static Websites
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date: 2022-08-04T10:59:00+02:00
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categories:
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- webdesign
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tags:
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- hugo
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- website
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- searching
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---
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In my monthly [July 2022 overview](/post/2022/08/july-2022) write-up, I wrote:
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> This website got a new search engine! The baked archives page used to be powered by Lunr.js, which has been replaced by Pagefind.app. I guess this is worth its own blog post, I’ll save the details for later.
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It's time for those juicy details.
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Last month's first HugoConf revealed many interesting JAMStack-related tooling to boost your statically generated blog. For the uninitiated, a "JAMStack" is a _JavaScript, API, and Markup stack_ that (almost) enables static websites to be just as dynamic as true blogging engines such as Wordpress. For example, [a Webmention-based commenting system](/post/2021/05/beyond-webmention-io/) with a queryable API, a few pre- and post-processor scripts like [YouTube link to image converters](/post/2021/06/youtube-play-image-links-in-hugo/), or, **search functionality**.
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One of those new search tools mentioned during the conference is [Pagefind](https://pagefind.app/). Since I was looking into throwing out [Lunr.js](https://lunrjs.com/) anyway, it was a good opportunity to try out new things. The result is the simple but very fast [search bar in the /archives page](/archives).
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How do these tools work?
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1. You generate some content in Markdown. Your static site processor, in my case Hugo, converts it to static HTML, ready to be served to visitors.
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2. A script needs to be run to create **an index** of your content---either by processing the `.md` source, or the `.html` target. The result is usually a fairly large `.js` file.
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3. On a search page, you include 2 `<script/>` tags: the index file and the tool that uses it. Users that enter a query search **client-side** in JS code, as opposed to submitting a real form like in search engines or with Wordpress.
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The problem with step 2 is the index file itself, as it can quickly grow in size. Furthermore, I automatically checked in the changes to the `brainbaking-index.js` file, needlessly convoluting the git repository. Even with gzip-compression in mind, I found Lunr.js not to be the best approach.
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Instead, Pagefind uses **fragmentation**. It never requires the inclusion of a single huge index file, but rather a tiny JS file (`8.05 kB`), that only fetches a minimal index file after you start typing (`45.66 kB`), and for each result to be displayed (usually limited to five), fetches a _fragment_ of the indexed content (between `5` and `8.5 kB`), and, optionally, a (currently non-optimized) thumbnail. The result is a blazing fast search-as-you-type system that's still self-hosted, highly optimized, and doesn't require a page submit.
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Try it out yourself [at /archives](/archives).
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There are a few obvious disadvantages of using Pagefind. For one, it's very bleeding edge, currently at [version 0.5.3](https://github.com/CloudCannon/pagefind/releases). Custom placeholder text, proper internationalization support, and more custom options are currently missing, but it is possible to use the lower-level API and come up with something cool yourself. I took a stab at it but decided that most of the default stuff is just fine.
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The other downside is that it still requires you to run another executable---this is the JAMStack part, so to speak---after Hugo is done generating. I have a simple shell script that is triggered every hour:
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```sh
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#!/bin/bash
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sites=( brainbaking jefklakscodex redzuurdesem )
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for site in "${sites[@]}"
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do
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echo "building site $site"
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cd /var/dev/$site
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git reset --hard
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RESULT=$(git pull | grep 'Already up to date')
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if [[ -z "$RESULT" ]] || [[ $1 == "--force" ]]
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then
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/usr/local/bin/hugo --cleanDestinationDir --destination docs
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/usr/local/bin/pagefind --source docs
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rsync --archive --delete docs/ /var/www/$site/
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yarn install
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yarn run postdeploy
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else
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echo "nothing to do for $site"
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fi
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done
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```
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This boils down to:
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1. Execute `hugo`, dump HTML output in `docs/`
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2. Execute `pagefind`, scour through `docs/` and dump index/JS/fragments in there as well
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3. Copy over new files using `rsync` to the deployed location for Nginx to pick up
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4. Run `yarn` for an optional post-deploy step. This contains webmention sending.
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Pagefind is a Rust self-contained binary, but I had to install it from source for my MacBook as there's no released ARM64 artifact available. You do have to install it as well on your web server---although that is optional: you can also run the `pagefind` command locally and simply check in all changes. I did that before with Lunr.js, but do not recommend it: every slightest change of your blog triggers a commit of the index file.
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---
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Is all this trouble worth it? I'm not sure. [Rubenerd's Archives page](https://rubenerd.com/archives/) resorts to another technique: simply let a _real_ search engine do the searching. By embedding a DuckDuckGo `<form/>`, you delegate all the above to another party, decreasing the complexity of your build pipeline and website theme code. It's worth noting that this alternative works _even with JavaScript disabled in the browser!_ I had to put in a `<noscript/>` tag to bring JS-haters bad news: they can't search.
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On the other hand, DuckDuckGo doesn't immediately index new posts, and you still route users away from your site with a form submit. In the end, Ruben's approach is probably the easiest, albeit the less immersive option. You'll have to decide for yourself whether or not to go for it. I still like Pagefind's relative simpleness and even [implemented it at my other sites](https://jefklakscodex.com/tags/) that didn't have a search option before.
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