Spark Data Processing Library
This provides a python framework for developing transforms on data stored in files - currently parquet files are supported - and running them in a Spark cluster. Data files may be stored in the local file system or COS/S3. For more details see the documentation.
Virtual Environment
The project uses pyproject.toml and a Makefile for operations.
To do development you should establish the virtual environment
make venv
and then either activate
source venv/bin/activate
or set up your IDE to use the venv directory when developing in this project
Library Artifact Build and Publish
To test, build and publish the library
make test build publish
To up the version number, edit the Makefile to change VERSION and rerun
the above. This will require committing both the Makefile and the
automatically updated pyproject.toml file.
3 maintainers
Metadata
3 maintainers
Release files for data-prep-toolkit-spark 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| data_prep_toolkit_spark-0.2.0.tar.gz | 30.9 kB | Without provenance | Details for data_prep_toolkit_spark-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| data_prep_toolkit_spark-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for data_prep_toolkit_spark-0.2.0-py3-none-any.whl |
Total release size: 45.9 kB
Release files / data_prep_toolkit_spark-0.2.0.tar.gz
| Download URL | data_prep_toolkit_spark-0.2.0.tar.gz |
|---|---|
| Size | 30.9 kB |
| Tags | Source |
|
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No |
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twine/5.0.0 CPython/3.10.11
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Release files / data_prep_toolkit_spark-0.2.0-py3-none-any.whl
| Download URL | data_prep_toolkit_spark-0.2.0-py3-none-any.whl |
|---|---|
| Size | 15.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.11
|
Security for data-prep-toolkit-spark 0.2.0
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