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mention pyspark licence and add comment about delta.io
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Signed-off-by: Tobias Windisch <tobias.windisch@hs-kempten.de>
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windisch committed Jan 5, 2024
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -96,6 +96,7 @@ Please have a look at our [contribution guide](https://boschglobal.github.io/lui
| [pipdeptree](https://github.com/tox-dev/pipdeptree)|[MIT License](https://github.com/tox-dev/pipdeptree/blob/main/LICENSE) | Dependency |
| [requirements-parser](https://github.com/madpah/requirements-parser)|[Apache License 2.0](https://github.com/madpah/requirements-parser/blob/master/LICENSE)| Dependency |
| [pyarrow](https://github.com/apache/arrow)|[Apache License 2.0](https://github.com/apache/arrow/blob/master/LICENSE.txt)| Dependency |
| [spark](https://github.com/apache/spark)|[Apache License 2.0](https://github.com/apache/spark/blob/master/LICENSE)| Dependency |

## Development dependency

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2 changes: 1 addition & 1 deletion docs/source/conf.py
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Expand Up @@ -93,7 +93,7 @@
intersphinx_mapping = {
'sphinx': ('http://www.sphinx-doc.org/en/master', None),
'python': ('https://docs.python.org/' + python_version, None),
'matplotlib': ('https://matplotlib.org', None),
'matplotlib': ('https://matplotlib.org/stable', None),
'numpy': ('https://numpy.org/doc/stable/', None),
'pandas': ('https://pandas.pydata.org/pandas-docs/stable', None),
}
6 changes: 6 additions & 0 deletions docs/source/decorators.rst
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Expand Up @@ -129,6 +129,12 @@ cloud storages, we provide input decorators that render the usage of
See :ref:`pyspark` for more details on how to implement pipelines
using these inputs.


.. note::

Make sure that the `delta-spark` extension is installed into your
spark cluster. See more `here <https://docs.delta.io>`_.

Directory structure
-------------------
The following decorators denote the directory in the project directory
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5 changes: 5 additions & 0 deletions docs/source/tutorials/spark.rst
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Expand Up @@ -72,6 +72,11 @@ however, persists its output into a pickle file, which requires
:py:mod:`luisy` to serialize all the data to a
:py:mod:`pandas.DataFrame` beforehand.

.. note::

Make sure that the `delta-spark` extension is installed into your
spark cluster. See more `here <https://docs.delta.io>`_.

Running a pipeline
------------------

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