continuation of #109595
pkgconfig was aliased in 2018, however, it remained in
all-packages.nix due to its wide usage. This cleans
up the remaining references to pkgs.pkgsconfig and
moves the entry to aliases.nix.
python3Packages.pkgconfig remained unchanged because
it's the canonical name of the upstream package
on pypi.
This package[1] is a replacement for the old phantomjs-integration[2]
which is practically EOL. It is basically used to render PNGs of panels
that triggered an alert in Grafana.
This package internally uses `puppeteer`[3] to control a headless
Chromium instance. Even though puppeteer recommends to use a fixed
revision of `chromium`, I checked that our default `pkgs.chromium` works
fine as well. Also, I don't think it's a good idea to use outdated
browser versions[4].
I used the latest revision from `master` on purpose since compiling the
code with `tsc` from `v2.0` didn't work and I couldn't figure out why.
[1] https://grafana.com/grafana/plugins/grafana-image-renderer
[2] https://grafana.com/blog/2020/05/07/grafana-7.0-preview-new-image-renderer-plugin-to-replace-phantomjs/
[3] https://github.com/puppeteer/puppeteer
[4] currently, puppeteer v2.0.0 is used which recommends revision 706915
(v79.0.3945.130).
This contains the base infrastructure (including a basic update script)
for maintaining Grafana plugins inside Nix, which, in a subsequent
commit, will be used for allowing the NixOS Grafana module to
automatically install plugins.
This release contains official support for TimescaleDB 2.0 (single-node) as well as various bug fixes and code cleanup.
Please note that multinode support is still in alpha and automatic upgrades of multinode deployments to future versions is not yet guaranteed (we hope to support this starting with the next release). Please only use multimode deployments for testing only.
Notes for people upgrading from 0.1.3:
- The dropChunk property in the Promscale Helm chart is renamed to maintenance. The drop-chunks CRON job is now renamed to maintenance, you will need to replace the dropChunk.schedule value with maintenance.schedule.
Notes for multinode deployments
- This should only be used for testing, not production deployments
- In particular, we are not guaranteeing upgrades from 0.1.4 to future versions in multinode deployments.
- All nodes have to be added to the cluster before starting Promscale; adding nodes afterwards is not yet supported.
