Comments (4)
@ajnavarro take a look.
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Stuff that requires more thought:
- A lot of functionality that is independent from Spark would be available from the JVM without Spark...
- ...but do we need to access any of that from Python without PySpark?
- Would it make sense to use py4j to call JVM code from Python when not using PySpark? (that's what uses PySpark under the hood), note that it requires an external JVM process in addition to the Python interpreter.
from jgit-spark-connector.
Here is a PR exploring some aspects of the API: #2
from jgit-spark-connector.
WIP on design document
from jgit-spark-connector.
Related Issues (20)
- Return of org.eclipse.jgit.errors.RevWalkException: Walk failure HOT 2
- [feature request] Handy handling of bad siva-files HOT 2
- Engine fails on UAST when run spark-shell with --packages argument in cluster mode HOT 6
- Modify requirements file, Pyspark version HOT 2
- Add a configuration flag to skip siva read errors
- [Change] Files not cleaned in /tmp folder on Spark Workers when using apollo HOT 2
- commits filtering counterintuitive behaviour HOT 1
- Engine fails to extract UASTs on actual Spark cluster HOT 5
- Latest version of Docker image engine-jupyter missing bblfsh HOT 6
- Expose Bblfsh UAST extraction errors in Engine
- Jupyter example notebook doesn't work out-of-the-box
- Docker Hub 'latest' image doesn't point to master Dockerfile. HOT 2
- Missing dependencies for pyspark in README HOT 6
- Build and test process leave the repository in dirty state for git describe HOT 3
- Engine fails on siva files from pipeline-staging cluster HOT 14
- Update README with EOL
- "standard" repository format does not work HOT 7
- ReferencesDataFrame files property HOT 4
- WARN Repository: close() called when useCnt is already zero
- WARN CommitIterator: missing object HOT 1
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