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junio-gpg-pub
v0.99
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${ noResults }
3 Commits (042159a5093db5da1be2a90b7c1b88441ece6029)
Author | SHA1 | Message | Date |
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dab73aebd8 |
ci/run-build-and-tests: add some structure to the GitHub workflow output
The current output of Git's GitHub workflow can be quite confusing, especially for contributors new to the project. To make it more helpful, let's introduce some collapsible grouping. Initially, readers will see the high-level view of what actually happened (did the build fail, or the test suite?). To drill down, the respective group can be expanded. Note: sadly, workflow output currently cannot contain any nested groups (see https://github.com/actions/runner/issues/802 for details), therefore we take pains to ensure to end any previous group before starting a new one. Signed-off-by: Johannes Schindelin <johannes.schindelin@gmx.de> Signed-off-by: Junio C Hamano <gitster@pobox.com> |
3 years ago |
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08dccc8fc1 |
ci: make it easier to find failed tests' logs in the GitHub workflow
When investigating a test failure, the time that matters most is the time it takes from getting aware of the failure to displaying the output of the failing test case. You currently have to know a lot of implementation details when investigating test failures in the CI runs. The first step is easy: the failed job is marked quite clearly, but when opening it, the failed step is expanded, which in our case is the one running `ci/run-build-and-tests.sh`. This step, most notably, only offers a high-level view of what went wrong: it prints the output of `prove` which merely tells the reader which test script failed. The actually interesting part is in the detailed log of said failed test script. But that log is shown in the CI run's step that runs `ci/print-test-failures.sh`. And that step is _not_ expanded in the web UI by default. It is even marked as "successful", which makes it very easy to miss that there is useful information hidden in there. Let's help the reader by showing the failed tests' detailed logs in the step that is expanded automatically, i.e. directly after the test suite failed. This also helps the situation where the _build_ failed and the `print-test-failures` step was executed under the assumption that the _test suite_ failed, and consequently failed to find any failed tests. An alternative way to implement this patch would be to source `ci/print-test-failures.sh` in the `handle_test_failures` function to show these logs. However, over the course of the next few commits, we want to introduce some grouping which would be harder to achieve that way (for example, we do want a leaner, and colored, preamble for each failed test script, and it would be trickier to accommodate the lack of nested groupings in GitHub workflows' output). Signed-off-by: Johannes Schindelin <johannes.schindelin@gmx.de> Signed-off-by: Junio C Hamano <gitster@pobox.com> |
3 years ago |
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b819f1d2ce |
ci: parallelize testing on Windows
The fact that Git's test suite is implemented in Unix shell script that is as portable as we can muster, combined with the fact that Unix shell scripting is foreign to Windows (and therefore has to be emulated), results in pretty abysmal speed of the test suite on that platform, for pretty much no other reason than that language choice. For comparison: while the Linux build & test is typically done within about 8 minutes, the Windows build & test typically lasts about 80 minutes in Azure Pipelines. To help with that, let's use the Azure Pipeline feature where you can parallelize jobs, make jobs depend on each other, and pass artifacts between them. The tests are distributed using the following heuristic: listing all test scripts ordered by size in descending order (as a cheap way to estimate the overall run time), every Nth script is run (where N is the total number of parallel jobs), starting at the index corresponding to the parallel job. This slicing is performed by a new function that is added to the `test-tool`. To optimize the overall runtime of the entire Pipeline, we need to move the Windows jobs to the beginning (otherwise there would be a very decent chance for the Pipeline to be run only the Windows build, while all the parallel Windows test jobs wait for this single one). We use Azure Pipelines Artifacts for both the minimal Git for Windows SDK as well as the built executables, as deduplication and caching close to the agents makes that really fast. For comparison: while downloading and unpacking the minimal Git for Windows SDK via PowerShell takes only one minute (down from anywhere between 2.5 to 7 when using a shallow clone), uploading it as Pipeline Artifact takes less than 30s and downloading and unpacking less than 20s (sometimes even as little as only twelve seconds). Signed-off-by: Johannes Schindelin <johannes.schindelin@gmx.de> Signed-off-by: Junio C Hamano <gitster@pobox.com> |
6 years ago |