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3c884cc3
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2019-09-21T15:05:36
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azure: avoid building and testing in Docker as root
Right now, all tests in libgit2's CI are being executed as root
user. As libgit2 will usually not run as a root user in "normal"
usecases and furthermore as there are tests that rely on the
ability to _not_ be able to create certain paths, let's instead
create an unprivileged user "libgit2" and use that across all
docker images.
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48d23a8c
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2019-08-02T12:36:19
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azure: convert to use Ninja as build tool
While we were still supporting Trusty, using Ninja as a build tool would
have required us to first setup pip and then use it to install Ninja.
As a result, the speedups from using Ninja were drowned out by the
time required to install Ninja. But as we have deprecated Trusty now,
both Xenial and Bionic have recent versions of Ninja in their
repositories and thus we can now use Ninja.
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3c59d451
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2019-08-02T12:34:10
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docker: use "--no-install-recommends" to reduce build time
Pass the flag "--no-install-recommends" to apt-get in order to trim down
the number of packages installed, both reducing build time and image
size. As this also causes some required packages to not be installed
anymore, add these explicitly to the set of packages installed.
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39b7e8b0
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2019-08-02T12:26:30
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docker: convert apt-get to use best practices
Reformat both Xenial and Bionic's Dockerfiles to use best practices.
Most importantly, we now run `apt-get update` and `apt-get install` in
one step followed up by removing the package lists to speed up
installation and keep down the image size.
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253dbea2
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2019-08-02T10:21:32
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docker: install mbedTLS on both Bionic and Xenial
We're about to phase out support for Trusty, but neither Bionic nor
Xenial images provide the mbedTLS library that's available in Trusty.
Build them for both to pull them in line with Trusty.
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5a6740e7
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2019-08-02T09:58:55
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azure: build Docker images as part of the pipeline
The Docker images used for our continuous integration builds currently
live in the libgit2/libgit2-docker repository. To make any changes in
them, one has to make a PR there, get it reviewed, re-build the images
and publish them to Docker Hub. This process is slow and tedious, making
it harder than necessary to perform any updates to our Docker-based
build pipeline.
To fix this, we include all Dockerfiles used by Azure from the mentioned
repository and inline them into our own repo. Instead of having to
manually push them to the CI, it will now build the required containers
on each pull request, allowing much greater flexibility.
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