2022-02-24 11:32:21 +00:00
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---
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permalink: "/{{ year }}/{{ month }}/{{ day }}/your-personal-glean-data-pipeline"
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title: "This Week in Glean: Your personal Glean data pipeline"
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published_date: "2022-02-25 15:00:00 +0100"
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2022-03-12 17:14:29 +00:00
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layout: post-yt.liquid
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2022-02-24 11:32:21 +00:00
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data:
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route: blog
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2024-01-05 18:21:46 +00:00
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tags:
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- mozilla
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2022-02-24 11:32:21 +00:00
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excerpt: |
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On February 11th, 2022 I gave a lightning talk titled
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"Your personal Glean data pipeline", presenting a little side project for
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ingesting, transforming and analyzing data collected from Glean-powered applications myself.
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---
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(“This Week in Glean” is a series of blog posts that the Glean Team at Mozilla is using to try to communicate better about our work.
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They could be release notes, documentation, hopes, dreams, or whatever: so long as it is inspired by Glean.)
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All "This Week in Glean" blog posts are listed in the [TWiG index](https://mozilla.github.io/glean/book/appendix/twig.html)
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(and on the [Mozilla Data blog](https://blog.mozilla.org/data/category/glean/)).
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This article is [cross-posted on the Mozilla Data blog][datablog].
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[datablog]: https://blog.mozilla.org/data/2022/02/25/this-week-in-glean-your-personal-glean-data-pipeline
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---
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On February 11th, 2022 we hosted a Data Club Lightning Talk session.
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2022-02-25 13:45:10 +00:00
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There I presented my small side project of setting up a minimal data pipeline & data storage for Glean.
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2022-02-24 11:32:21 +00:00
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The premise:
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> Can I build and run a small pipeline & data server to collect telemetry data from my own usage of tools?
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To which I can now answer: Yes, it's possible.
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The complete ingestion server is a couple hundred lines of Rust code.
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It's able to receive pings conforming to the Glean ping schema, transform them and store it into an SQLite database.
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It's very robust, not crashing once on me (except when I created an infinite loop within it).
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You can watch the lightning talk here:
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<br>
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2022-03-12 17:14:29 +00:00
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<lite-youtube videoid="V5FgVbxm-cc" playlabel="Play: Your personal Glean data pipeline">
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<a href="https://youtube.com/watch?v=V5FgVbxm-cc" class="lty-playbtn" title="Play Video">
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<span class="lyt-visually-hidden">Play Video: Your personal Glean data pipeline</span>
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</a>
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</lite-youtube>
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2022-02-24 11:32:21 +00:00
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Instead of creating some slides for the talk I created an interactive report.
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The full report [can be read online][report].
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[report]: https://data.fnordig.de/glean/report.html
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Besides actually writing a small pipeline server this was also an experiment
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in trying out [Irydium][] and [Datasette][]
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to produce an interactive & live-updated data report.
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Irydium is a set of tooling designed to allow people to create interactive documents using web technologies, started by [wlach][] a while back.
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Datasette is an open source multi-tool for exploring and publishing data, created and maintained by [simonw][].
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Combining both makes for a nice experience, even though there's still some things that could be simplified.
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My pipeline server is currently not open source.
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I might publish it as an example at a later point.
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[irydium]: https://irydium.dev/
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[wlach]: https://twitter.com/wrlach
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[datasette]: https://datasette.io/
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[simonw]: https://twitter.com/simonw
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