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%global _empty_manifest_terminate_build 0
Name: python-delta-sharing
Version: 0.6.3
Release: 1
Summary: Python Connector for Delta Sharing
License: Apache-2.0
URL: https://github.com/delta-io/delta-sharing/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/40/b3/22cb1ad4227031b6d69932fbe3661b1c14749a3fcf954d2397119dfb92b9/delta-sharing-0.6.3.tar.gz
BuildArch: noarch
Requires: python3-pandas
Requires: python3-pyarrow
Requires: python3-fsspec
Requires: python3-requests
Requires: python3-aiohttp
Requires: python3-yarl
Requires: python3-dataclasses
Requires: python3-adlfs
Requires: python3-adlfs
Requires: python3-gcsfs
Requires: python3-gcsfs
Requires: python3-s3fs
%description
# Delta Sharing
[Delta Sharing](https://delta.io/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](https://delta.io) and [Apache Parquet](https://parquet.apache.org) 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](https://pandas.pydata.org/) DataFrames or as [Apache Spark](http://spark.apache.org/) DataFrames if running in PySpark with the [Apache Spark Connector library](https://github.com/delta-io/delta-sharing#set-up-apache-spark).
## Installation and Usage
1. Install using `pip install delta-sharing`.
2. To use the Python Connector, see [the project docs](https://github.com/delta-io/delta-sharing) for details.
## Documentation
This README only contains basic information about the Delta Sharing Python Connector. Please read [the project documentation](https://github.com/delta-io/delta-sharing) for full usage details.
%package -n python3-delta-sharing
Summary: Python Connector for Delta Sharing
Provides: python-delta-sharing
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-delta-sharing
# Delta Sharing
[Delta Sharing](https://delta.io/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](https://delta.io) and [Apache Parquet](https://parquet.apache.org) 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](https://pandas.pydata.org/) DataFrames or as [Apache Spark](http://spark.apache.org/) DataFrames if running in PySpark with the [Apache Spark Connector library](https://github.com/delta-io/delta-sharing#set-up-apache-spark).
## Installation and Usage
1. Install using `pip install delta-sharing`.
2. To use the Python Connector, see [the project docs](https://github.com/delta-io/delta-sharing) for details.
## Documentation
This README only contains basic information about the Delta Sharing Python Connector. Please read [the project documentation](https://github.com/delta-io/delta-sharing) for full usage details.
%package help
Summary: Development documents and examples for delta-sharing
Provides: python3-delta-sharing-doc
%description help
# Delta Sharing
[Delta Sharing](https://delta.io/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](https://delta.io) and [Apache Parquet](https://parquet.apache.org) 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](https://pandas.pydata.org/) DataFrames or as [Apache Spark](http://spark.apache.org/) DataFrames if running in PySpark with the [Apache Spark Connector library](https://github.com/delta-io/delta-sharing#set-up-apache-spark).
## Installation and Usage
1. Install using `pip install delta-sharing`.
2. To use the Python Connector, see [the project docs](https://github.com/delta-io/delta-sharing) for details.
## Documentation
This README only contains basic information about the Delta Sharing Python Connector. Please read [the project documentation](https://github.com/delta-io/delta-sharing) for full usage details.
%prep
%autosetup -n delta-sharing-0.6.3
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-delta-sharing -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.6.3-1
- Package Spec generated
|
