Delta Sharing
Delta Sharing is an open protocol for secure real-time exchange of large datasets, which enables secure data sharing across different computing platforms. It lets organizations share access to existing Delta Lake and Apache Parquet tables with other organizations, who can then directly read the table in Pandas, Apache Spark, or any other software that implements the open protocol.
This is the Python client library for Delta Sharing, which lets you load shared tables as pandas DataFrames or as Apache Spark DataFrames if running in PySpark with the Apache Spark Connector library.
Installation and Usage
- Install using
pip install delta-sharing. - To use the Python Connector, see the project docs for details.
Documentation
This README only contains basic information about the Delta Sharing Python Connector. Please read the project documentation for full usage details.
6 maintainers
Release files for delta-sharing 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| delta-sharing-1.0.0.tar.gz | 14.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| delta_sharing-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.7 kB
Release files / delta-sharing-1.0.0.tar.gz
| Download URL | delta-sharing-1.0.0.tar.gz |
|---|---|
| Size | 14.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.6
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Release files / delta_sharing-1.0.0-py3-none-any.whl
| Download URL | delta_sharing-1.0.0-py3-none-any.whl |
|---|---|
| Size | 17.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.6
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