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fix: don't hard-code spark version when creating SJDs #2101
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Hey @niehaus59 👋! We use semantic commit messages to streamline the release process. Examples of commit messages with semantic prefixes:
To test your commit locally, please follow our guild on building from source. |
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Codecov Report
@@ Coverage Diff @@
## master #2101 +/- ##
==========================================
- Coverage 86.25% 83.47% -2.79%
==========================================
Files 310 310
Lines 16254 16254
Branches 818 818
==========================================
- Hits 14020 13568 -452
- Misses 2234 2686 +452 |
/azp run |
Azure Pipelines successfully started running 1 pipeline(s). |
Related Issues/PRs
#xxx
What changes are proposed in this pull request?
Record spark version in BuildInfo and then use that when creating SJD for E2E tests
How is this patch tested?
partially tested locally; rest will be in PR build
Does this PR change any dependencies?
Does this PR add a new feature? If so, have you added samples on website?
website/docs/documentation
folder.Make sure you choose the correct class
estimators/transformers
and namespace.DocTable
points to correct API link.yarn run start
to make sure the website renders correctly.<!--pytest-codeblocks:cont-->
before each python code blocks to enable auto-tests for python samples.WebsiteSamplesTests
job pass in the pipeline.