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%global _empty_manifest_terminate_build 0
Name: python-ibmdbpy
Version: 0.1.6
Release: 1
Summary: A Pandas-like SQL-wrapper for in-database analytics with IBM Db2 Warehouse.
License: BSD
URL: https://github.com/ibmdbanalytics/ibmdbpy
Source0: https://mirrors.aliyun.com/pypi/web/packages/02/54/e4a5f4f9c75a8b83d11df83a24ff4d868774b07d6f50d2c4925726cf2744/ibmdbpy-0.1.6.tar.gz
BuildArch: noarch
Requires: python3-pandas
Requires: python3-numpy
Requires: python3-future
Requires: python3-six
Requires: python3-pypyodbc
Requires: python3-lazy
Requires: python3-sphinx
Requires: python3-ipython
Requires: python3-numpydoc
Requires: python3-sphinx-rtd-theme
Requires: python3-JayDeBeApi
Requires: python3-Jpype1
Requires: python3-pytest
Requires: python3-flaky
%description
The ibmdbpy project provides a Python interface for data manipulation and access to in-database algorithms in IBM Db2. It accelerates Python analytics by seamlessly pushing operations written in Python into the underlying database for execution, thereby benefitting from in-database performance-enhancing features, such as columnar storage and parallel processing.
IBM Db2 is a database management system. The ibmdbpy project can be used by Python developers with very little additional knowledge, because it copies the well-known interface of the Pandas library for data manipulation and the Scikit-learn library for the use of machine learning algorithms.
The ibmdbpy project is compatible with Python releases 2.7 up to 3.6 and can be connected to Db2 databases via ODBC or JDBC.
The project is still at an early stage and many of its features are still in development. However, several experiments have already demonstrated that it provides significant performance advantages when operating on medium or large amounts of data, that is, on tables of 1 million rows or more.
The latest version of ibmdbpy is available on the `Python Package Index`__ and Github_.
__ https://pypi.python.org/pypi/ibmdbpy
%package -n python3-ibmdbpy
Summary: A Pandas-like SQL-wrapper for in-database analytics with IBM Db2 Warehouse.
Provides: python-ibmdbpy
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-ibmdbpy
The ibmdbpy project provides a Python interface for data manipulation and access to in-database algorithms in IBM Db2. It accelerates Python analytics by seamlessly pushing operations written in Python into the underlying database for execution, thereby benefitting from in-database performance-enhancing features, such as columnar storage and parallel processing.
IBM Db2 is a database management system. The ibmdbpy project can be used by Python developers with very little additional knowledge, because it copies the well-known interface of the Pandas library for data manipulation and the Scikit-learn library for the use of machine learning algorithms.
The ibmdbpy project is compatible with Python releases 2.7 up to 3.6 and can be connected to Db2 databases via ODBC or JDBC.
The project is still at an early stage and many of its features are still in development. However, several experiments have already demonstrated that it provides significant performance advantages when operating on medium or large amounts of data, that is, on tables of 1 million rows or more.
The latest version of ibmdbpy is available on the `Python Package Index`__ and Github_.
__ https://pypi.python.org/pypi/ibmdbpy
%package help
Summary: Development documents and examples for ibmdbpy
Provides: python3-ibmdbpy-doc
%description help
The ibmdbpy project provides a Python interface for data manipulation and access to in-database algorithms in IBM Db2. It accelerates Python analytics by seamlessly pushing operations written in Python into the underlying database for execution, thereby benefitting from in-database performance-enhancing features, such as columnar storage and parallel processing.
IBM Db2 is a database management system. The ibmdbpy project can be used by Python developers with very little additional knowledge, because it copies the well-known interface of the Pandas library for data manipulation and the Scikit-learn library for the use of machine learning algorithms.
The ibmdbpy project is compatible with Python releases 2.7 up to 3.6 and can be connected to Db2 databases via ODBC or JDBC.
The project is still at an early stage and many of its features are still in development. However, several experiments have already demonstrated that it provides significant performance advantages when operating on medium or large amounts of data, that is, on tables of 1 million rows or more.
The latest version of ibmdbpy is available on the `Python Package Index`__ and Github_.
__ https://pypi.python.org/pypi/ibmdbpy
%prep
%autosetup -n ibmdbpy-0.1.6
%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-ibmdbpy -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.6-1
- Package Spec generated
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