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|
%global _empty_manifest_terminate_build 0
Name: python-monetdbe
Version: 0.11
Release: 1
Summary: MonetDBe - the Python embedded MonetDB
License: Mozilla Public License 2.0 (MPL 2.0)
URL: https://github.com/monetdBSolutions/MonetDBe-Python/
Source0: https://mirrors.aliyun.com/pypi/web/packages/ae/c2/ac8ffc8ad913630d189a8a1c4cbc2b7478b834194c00a66a5ff48b01c75c/monetdbe-0.11.tar.gz
Requires: python3-cffi
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-sphinx
Requires: python3-sphinx-rtd-theme
Requires: python3-pytest
Requires: python3-mypy
Requires: python3-pycodestyle
Requires: python3-data-science-types
Requires: python3-types-setuptools
Requires: python3-types-pkg-resources
Requires: python3-types-Jinja2
Requires: python3-typing-extensions
%description
# MonetDB/e-Python
MonetDB/e-Python - the serverless Python embedded MonetDB
Want to store and search a massive amount of numbers? You don't want to run a database service? Is SQLite too slow for what you want to do? Search no further! MonetDBe-Python is here. Just pip install the binary wheel on your Windows, Linux or OS X system and you are ready to go, no compilation needed.
MonetDBe-Python internally relies on a serverless and trimmed-down version of the blazingly fast MonetDB, the open-source column-store database.
The documentation can be found at: https://monetdbe.readthedocs.io/
The source code can be found at: https://github.com/monetdBSolutions/MonetDBe-Python/
# install
you need:
* An up-to-date Linux, OSX or Windows
* pip `>= 19.3`
* Python `>= 3.7`
to make sure you have a recent pip first upgrade pip:
```
$ pip install --upgrade pip
```
now you can install MonetDBe-Python with:
```
$ pip install monetdbe
```
# usage
Just import and get started, no running a server required. Connecting without
an argument starts an in-memory storage instance:
```
>>> from monetdbe import connect
>>> con = connect()
>>> con.execute('select * from tables').fetchdf()
id name schema_id query type system commit_action access temporary
0 2001 schemas 2000 None 10 True 0 0 0
1 2007 types 2000 None 10 True 0 0 0
2 2016 functions 2000 None 10 True 0 0 0
3 2029 args 2000 None 10 True 0 0 0
4 2038 sequences 2000 None 10 True 0 0 0
.. ... ... ... ... ... ... ... ... ...
81 6650 storagemodel 2000 create view sys.storagemodel as\nselect "schem... 11 True 0 0 0
82 6661 tablestoragemodel 2000 create view sys.tablestoragemodel as\nselect "... 11 True 0 0 0
83 6675 statistics 2000 None 10 True 0 0 0
84 6734 compinfo 6698 create view logging.compinfo as select * from ... 11 True 0 0 0
85 6739 systemfunctions 2000 create view sys.systemfunctions as select id a... 11 True 0 0 0
```
See a another simple example illustrating the Pandas support in this notebook:
https://github.com/MonetDBSolutions/MonetDBe-Python/blob/master/notebooks/basic_example.ipynb
%package -n python3-monetdbe
Summary: MonetDBe - the Python embedded MonetDB
Provides: python-monetdbe
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-monetdbe
# MonetDB/e-Python
MonetDB/e-Python - the serverless Python embedded MonetDB
Want to store and search a massive amount of numbers? You don't want to run a database service? Is SQLite too slow for what you want to do? Search no further! MonetDBe-Python is here. Just pip install the binary wheel on your Windows, Linux or OS X system and you are ready to go, no compilation needed.
MonetDBe-Python internally relies on a serverless and trimmed-down version of the blazingly fast MonetDB, the open-source column-store database.
The documentation can be found at: https://monetdbe.readthedocs.io/
The source code can be found at: https://github.com/monetdBSolutions/MonetDBe-Python/
# install
you need:
* An up-to-date Linux, OSX or Windows
* pip `>= 19.3`
* Python `>= 3.7`
to make sure you have a recent pip first upgrade pip:
```
$ pip install --upgrade pip
```
now you can install MonetDBe-Python with:
```
$ pip install monetdbe
```
# usage
Just import and get started, no running a server required. Connecting without
an argument starts an in-memory storage instance:
```
>>> from monetdbe import connect
>>> con = connect()
>>> con.execute('select * from tables').fetchdf()
id name schema_id query type system commit_action access temporary
0 2001 schemas 2000 None 10 True 0 0 0
1 2007 types 2000 None 10 True 0 0 0
2 2016 functions 2000 None 10 True 0 0 0
3 2029 args 2000 None 10 True 0 0 0
4 2038 sequences 2000 None 10 True 0 0 0
.. ... ... ... ... ... ... ... ... ...
81 6650 storagemodel 2000 create view sys.storagemodel as\nselect "schem... 11 True 0 0 0
82 6661 tablestoragemodel 2000 create view sys.tablestoragemodel as\nselect "... 11 True 0 0 0
83 6675 statistics 2000 None 10 True 0 0 0
84 6734 compinfo 6698 create view logging.compinfo as select * from ... 11 True 0 0 0
85 6739 systemfunctions 2000 create view sys.systemfunctions as select id a... 11 True 0 0 0
```
See a another simple example illustrating the Pandas support in this notebook:
https://github.com/MonetDBSolutions/MonetDBe-Python/blob/master/notebooks/basic_example.ipynb
%package help
Summary: Development documents and examples for monetdbe
Provides: python3-monetdbe-doc
%description help
# MonetDB/e-Python
MonetDB/e-Python - the serverless Python embedded MonetDB
Want to store and search a massive amount of numbers? You don't want to run a database service? Is SQLite too slow for what you want to do? Search no further! MonetDBe-Python is here. Just pip install the binary wheel on your Windows, Linux or OS X system and you are ready to go, no compilation needed.
MonetDBe-Python internally relies on a serverless and trimmed-down version of the blazingly fast MonetDB, the open-source column-store database.
The documentation can be found at: https://monetdbe.readthedocs.io/
The source code can be found at: https://github.com/monetdBSolutions/MonetDBe-Python/
# install
you need:
* An up-to-date Linux, OSX or Windows
* pip `>= 19.3`
* Python `>= 3.7`
to make sure you have a recent pip first upgrade pip:
```
$ pip install --upgrade pip
```
now you can install MonetDBe-Python with:
```
$ pip install monetdbe
```
# usage
Just import and get started, no running a server required. Connecting without
an argument starts an in-memory storage instance:
```
>>> from monetdbe import connect
>>> con = connect()
>>> con.execute('select * from tables').fetchdf()
id name schema_id query type system commit_action access temporary
0 2001 schemas 2000 None 10 True 0 0 0
1 2007 types 2000 None 10 True 0 0 0
2 2016 functions 2000 None 10 True 0 0 0
3 2029 args 2000 None 10 True 0 0 0
4 2038 sequences 2000 None 10 True 0 0 0
.. ... ... ... ... ... ... ... ... ...
81 6650 storagemodel 2000 create view sys.storagemodel as\nselect "schem... 11 True 0 0 0
82 6661 tablestoragemodel 2000 create view sys.tablestoragemodel as\nselect "... 11 True 0 0 0
83 6675 statistics 2000 None 10 True 0 0 0
84 6734 compinfo 6698 create view logging.compinfo as select * from ... 11 True 0 0 0
85 6739 systemfunctions 2000 create view sys.systemfunctions as select id a... 11 True 0 0 0
```
See a another simple example illustrating the Pandas support in this notebook:
https://github.com/MonetDBSolutions/MonetDBe-Python/blob/master/notebooks/basic_example.ipynb
%prep
%autosetup -n monetdbe-0.11
%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-monetdbe -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.11-1
- Package Spec generated
|
