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|
%global _empty_manifest_terminate_build 0
Name: python-turbodbc
Version: 4.5.10
Release: 1
Summary: turbodbc is a Python DB API 2.0 compatible ODBC driver
License: MIT License
URL: https://github.com/blue-yonder/turbodbc
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/0b/6f/10631c807084f39464f7ca448bd710b194d580be3441591c9831a83704d9/turbodbc-4.5.10.tar.gz
BuildArch: noarch
%description
[](https://github.com/blue-yonder/turbodbc/actions)
[](http://turbodbc.readthedocs.io/en/latest/?badge=latest)
[](https://codecov.io/gh/blue-yonder/turbodbc)
[](https://conda.anaconda.org/conda-forge)
[](https://anaconda.org/conda-forge/turbodbc)
Turbodbc is a Python module to access relational databases via the
[Open Database Connectivity (ODBC)](https://en.wikipedia.org/wiki/Open_Database_Connectivity)
interface. Its primary target audience are data scientist
that use databases for which no efficient native Python drivers are available.
For maximum compatibility, turbodbc complies with the
[Python Database API Specification 2.0 (PEP 249)](https://www.python.org/dev/peps/pep-0249/).
For maximum performance, turbodbc offers built-in [NumPy](http://www.numpy.org) and
[Apache Arrow](https://arrow.apache.org) support
and internally relies on batched data transfer instead of single-record communication as
other popular ODBC modules do.
Turbodbc is free to use ([MIT license](https://github.com/blue-yonder/turbodbc/blob/master/LICENSE)),
open source ([GitHub](https://github.com/blue-yonder/turbodbc)),
works with Python 3.8+, and is available for Linux, macOS, and Windows.
Turbodbc is routinely tested with [MySQL](https://www.mysql.com),
[PostgreSQL](https://www.postgresql.org), [EXASOL](http://www.exasol.com),
and [MSSQL](http://microsoft.com/sql), but probably also works with your database.
%package -n python3-turbodbc
Summary: turbodbc is a Python DB API 2.0 compatible ODBC driver
Provides: python-turbodbc
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-turbodbc
[](https://github.com/blue-yonder/turbodbc/actions)
[](http://turbodbc.readthedocs.io/en/latest/?badge=latest)
[](https://codecov.io/gh/blue-yonder/turbodbc)
[](https://conda.anaconda.org/conda-forge)
[](https://anaconda.org/conda-forge/turbodbc)
Turbodbc is a Python module to access relational databases via the
[Open Database Connectivity (ODBC)](https://en.wikipedia.org/wiki/Open_Database_Connectivity)
interface. Its primary target audience are data scientist
that use databases for which no efficient native Python drivers are available.
For maximum compatibility, turbodbc complies with the
[Python Database API Specification 2.0 (PEP 249)](https://www.python.org/dev/peps/pep-0249/).
For maximum performance, turbodbc offers built-in [NumPy](http://www.numpy.org) and
[Apache Arrow](https://arrow.apache.org) support
and internally relies on batched data transfer instead of single-record communication as
other popular ODBC modules do.
Turbodbc is free to use ([MIT license](https://github.com/blue-yonder/turbodbc/blob/master/LICENSE)),
open source ([GitHub](https://github.com/blue-yonder/turbodbc)),
works with Python 3.8+, and is available for Linux, macOS, and Windows.
Turbodbc is routinely tested with [MySQL](https://www.mysql.com),
[PostgreSQL](https://www.postgresql.org), [EXASOL](http://www.exasol.com),
and [MSSQL](http://microsoft.com/sql), but probably also works with your database.
%package help
Summary: Development documents and examples for turbodbc
Provides: python3-turbodbc-doc
%description help
[](https://github.com/blue-yonder/turbodbc/actions)
[](http://turbodbc.readthedocs.io/en/latest/?badge=latest)
[](https://codecov.io/gh/blue-yonder/turbodbc)
[](https://conda.anaconda.org/conda-forge)
[](https://anaconda.org/conda-forge/turbodbc)
Turbodbc is a Python module to access relational databases via the
[Open Database Connectivity (ODBC)](https://en.wikipedia.org/wiki/Open_Database_Connectivity)
interface. Its primary target audience are data scientist
that use databases for which no efficient native Python drivers are available.
For maximum compatibility, turbodbc complies with the
[Python Database API Specification 2.0 (PEP 249)](https://www.python.org/dev/peps/pep-0249/).
For maximum performance, turbodbc offers built-in [NumPy](http://www.numpy.org) and
[Apache Arrow](https://arrow.apache.org) support
and internally relies on batched data transfer instead of single-record communication as
other popular ODBC modules do.
Turbodbc is free to use ([MIT license](https://github.com/blue-yonder/turbodbc/blob/master/LICENSE)),
open source ([GitHub](https://github.com/blue-yonder/turbodbc)),
works with Python 3.8+, and is available for Linux, macOS, and Windows.
Turbodbc is routinely tested with [MySQL](https://www.mysql.com),
[PostgreSQL](https://www.postgresql.org), [EXASOL](http://www.exasol.com),
and [MSSQL](http://microsoft.com/sql), but probably also works with your database.
%prep
%autosetup -n turbodbc-4.5.10
%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-turbodbc -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 4.5.10-1
- Package Spec generated
|
