Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/whiteclover/dbpy
Database abstraction layer for pythoneer
https://github.com/whiteclover/dbpy
Last synced: 3 months ago
JSON representation
Database abstraction layer for pythoneer
- Host: GitHub
- URL: https://github.com/whiteclover/dbpy
- Owner: whiteclover
- License: other
- Created: 2015-01-10T07:36:37.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2017-09-30T07:43:26.000Z (about 7 years ago)
- Last Synced: 2024-07-19T04:18:38.802Z (4 months ago)
- Language: Python
- Homepage:
- Size: 68.4 KB
- Stars: 57
- Watchers: 9
- Forks: 10
- Open Issues: 1
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES
- License: LICENSE
Awesome Lists containing this project
- starred-awesome - dbpy - Database abstraction layer for pythoneer (Python)
README
dbpy
#####
dbpy is database abstration layer wrote by python. The design is inspired by `webpy db `_ and `drupal database `_ . If like the simple db abstration layer like ``tornado db`` or ``webpy db``, it is worth to try.
`中文|chinese `_
changes
==========
#. Add pymysql adapter
Install the extension with the following command::
$ easy_install pymysql
or alternatively if you have pip installed::
$ pip install pymysql
Featues
================
#. silmple and flexible
#. graceful and useful sql query builder.
#. thread-safe connection pool
#. supports read/write master-slave mode
#. supports transaction
The Projects use dbpy
======================
`Lilac (Distributed Scheduler Task System) `_
.. contents::
:depth: 4
Install
==============
Install the extension with the following command::
$ easy_install dbpy
or alternatively if you have pip installed::
$ pip install dbpy
or clone it form github then run the command in shell:
.. code-block:: bash
cd db # the path to the project
python setup.py install
Development
===========
Fork or download it, then run:
.. code-block:: bash
cd db # the path to the project
python setup.py develop
Compatibility
=============
Built and tested under Python 2.7+
DB API
========
Have a look:
.. code-block:: python
config = {
'passwd': 'test',
'user': 'test',
'host': 'localhost',
'db': 'test',
'max_idle' : 5*60
}
db.setup(config, minconn=5, maxconn=10,
adapter='mysql', key='default', slave=False)
db.execute('show tables')
setup
---------
:config: the connection basic config, the all of arguements of MySQLDB#connect is acceptable。 the ``max_idle`` is the connect timeout setting that is used to reconnection when connection is timeout, default is 10 seconds.
:minconn: the minimum connections for the connection pool, default is 5.
:maxconn: the maximum connections for the connection pool, default is 10.
:adapter: the database driver adapter name, currently supports mysql (MySQLdb, pymysql) only.
:key: the database idenfify for database, default database is "default"
:slave: if set to true, the database will be register as a slave database. make sure you setup a master firstly.
.. code-block:: python
config = {
'passwd': 'test',
'user': 'test',
'host': 'localhost',
'db': 'test',
'max_idle' : 5*60
}
db.setup(config, key='test')
config['host'] = 'test.slave'
# set a slave, and now the master can only to write
db.setup(config, key='test', slave=True)
config['host'] = 'test.slave2'
# add more slave for 'test'
db.setup(config, key='test', slave=True)
config['host'] = 'host2'
config['db'] = 'social'
# set another database
db.setup(config, key='social', slave=True)
query
-------
query api is used for reading database operation, like select..., show tables, if you wanna update your database please use execute api.
query(sql, args=None, many=None, as_dict=False, key='default'):
:sql: the raw sql
:args: the args for sql arguement to prepare execute.
:many: when set to a greater zero integer, it will use fetchmany then yield return a generator, otherwise a list.
:as_dict: when set to true, query api will return the database result as dict row, otherwise tuple row.
:key: the idenfify of database.
.. code-block:: python
print db.query('SELECT 1')
# > ((1L,),)
# use social db
print db.query('SELECT 1', key='social')
# > ((1L,),)
print db.query('SELECT * FROM users WHERE uid=%s and name=%s', (1, 'user_1'))
# > ((1L, u'user_1'),)
# Wanna return dict row
print db.query('SELECT * FROM users WHERE uid=%s and name=%s',
(1, 'user_1'), as_dict=True)
# > ({'uid': 1L, 'name': u'user_1'},)
# Use fetchmany(many) then yeild, Return generator
res = db.query('SELECT * FROM users WHERE uid=%s and name=%s',
(1, 'user_1'), many=5, as_dict=True)
print res
print res.next()
# >
# > {'uid': 1L, 'name': u'user_1'}
execute
--------
the api is used for writing database operation, like insert, update, delete.. if you wanna read query your database please use query api.
execute(sql, args=None, key='default'):
:sql: the raw sql
:args: the args for sql arguement to prepare execute.
:key: the idenfify of database.
Return::
it returns last_insert_id when sql is insert statement, otherwise rowcount
.. code-block:: python
db.execute('DROP TABLE IF EXISTS `users`')
db.execute("""CREATE TABLE `users` (
`uid` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(20) NOT NULL,
PRIMARY KEY (`uid`))""")
# when inset mutil-values，the api will call executemany
db.execute('INSERT INTO users VALUES(%s, %s)', [(10, 'execute_test'), (9, 'execute_test')])
# > 9
db.execute('DELETE FROM users WHERE name=%s', ('execute_test',))
# > 2
# use social db
db.execute('delete from events where created_at<%s', (expired, ), key='social')
# > 10
select
-----------
the api is used for select sql database query.
select(table, key='default'):
:table: the table name
:key: the idenfify of database
select all
~~~~~~~~~~~~~~~~
.. code-block:: python
db.select('users')
# > SELECT * FROM `users`
specific columns
~~~~~~~~~~~~~~~~~
.. code-block:: python
db.select('users').fields('uid', 'name')
# > SELECT `uid`, `name` FROM `users`
execute
~~~~~~~~~~~~~~~~
when you already build your sql, try execute api to fetch your database result.
execute(many=None, as_dict=False):
:many: when set to a greater zero integer, it will use fetchmany then yield return a generator, otherwise a list.
:as_dict: when set to true, query api will return the database result as dict row, otherwise tuple row.
.. code-block:: python
q = db.select('users').fields('uid', 'name')
res = q.execute()
print res
# > ((1L, u'user_1'), (2L, u'user_2'), (3L, u'user_3'), (4L, u'user_4'), (5L, None))
res = q.execute(many=2, as_dict=True)
print res
print res.next()
# >
# > {'uid': 1L, 'name': u'user_1'}
Condition
~~~~~~~~~~~
It is time to try more complex select query.
condition(field, value=None, operator=None):
:field: the field of table
:value: the value of field, defaul is None ("field is null")
:operator: the where operator like BETWEEN, IN, NOT IN, EXISTS, NOT EXISTS, IS NULL, IS NOT NULL, LIKE, NOT LIKE, =, <, >, >=, <=, <> and so on.
simple
^^^^^^^^^^^^^^^^
.. code-block:: python
db.select('users').condition('uid', 1) # condition('uid', 1, '=')
# > SELECT * FROM `users`
# > WHERE `uid` = %s
in
^^^^^^^^^^^^^^^^
.. code-block:: python
db.select('users').condition('uid', (1, 3)) # condition('uid', [1, 3]) 一样
# > SELECT * FROM `users`
# > WHERE `uid` IN (%s, %s)
between
^^^^^^^^^^^^^^^^
.. code-block:: python
db.select('users').condition('uid', (1, 3), 'between')
# > SELECT * FROM `users`
# > WHERE `uid` BETWEEN %s AND %s
multi condition
^^^^^^^^^^^^^^^^^^^^^^^^
.. code-block:: python
db.select('users').condition('uid', 1).condition('name', 'blabla')
# > SELECT * FROM `users`
# > WHERE `uid` = %s AND `name` = %s
or condition
^^^^^^^^^^^^^^
.. code-block:: python
or_cond = db.or_().condition('uid', 1).condition('name', 'blabla')
db.select('users').condition(or_cond).condition('uid', 1, '<>')
# > SELECT * FROM `users`
# > WHERE ( `uid` = %s OR `name` = %s ) AND `uid` <> %s
order by
~~~~~~~~~
.. code-block:: python
db.select('users').order_by('name')
# > SELECT * FROM `users`
# > ORDER BY `name`
db.select('users').order_by('name', 'DESC')
# > SELECT * FROM `users`
# > ORDER BY `name` DESC
db.select('users').order_by('name', 'DESC').order_by('uid')
# > SELECT * FROM `users`
# > ORDER BY `name` DESC, `uid`
distinct
~~~~~~~~~
.. code-block:: python
db.select('users').distinct().condition('uid', 1)
# > SELECT DISTINCT * FROM `users`
# > WHERE `uid` = %s
db.select('users').fields('uid', 'name').distinct().condition('uid', 1)
# > SELECT DISTINCT `uid`, `name` FROM `users`
# > WHERE `uid` = %s
group by
~~~~~~~~~
.. code-block:: python
db.select('users').group_by('name', 'uid')
# > SELECT * FROM `users`
# > GROUP BY `name`, `uid`
limit and offset
~~~~~~~~~~~~~~~~~
.. code-block:: python
db.select('users').limit(2).offset(5)
# > SELECT * FROM `users`
# > LIMIT 2 OFFSET 5
null condition
~~~~~~~~~~~~~~~
.. code-block:: python
db.select('users').is_null('name').condition('uid', 5)
# > SELECT * FROM `users`
# > WHERE `name` IS NULL AND `uid` = %s
db.select('users').is_not_null('name').condition('uid', 5)
# > SELECT * FROM `users`
# > WHERE `name` IS NOT NULL AND `uid` = %s
db.select('users').condition('name', None)
# > SELECT * FROM `users`
# > WHERE `name` IS NULL
complex conditions
-------------------
using db.and_(), db.or_(), we can build complex where conditions:
.. code-block:: python
or_cond = db.or_().condition('field1', 1).condition('field2', 'blabla')
and_cond = db.and_().condition('field3', 'what').condition('field4', 'then?')
print db.select('table_name').condition(or_cond).condition(and_cond)
# > SELECT * FROM `table_name`
# > WHERE ( `field1` = %s OR `field2` = %s ) AND ( `field3` = %s AND `field4` = %s )
expr
------------
if you wanna use the aggregate functions like sum, count, please use ``erpr`` :
.. code-block:: python
from db import expr
db.select('users').fields(expr('count(*)'))
# > SELECT count(*) FROM `users`
db.select('users').fields(expr('count(uid)', 'total'))
# > SELECT count(uid) AS `total` FROM `users`
insert
-----------
The ``insert`` api is used for building insert into sql statement.
insert(table, key='default'):
:table: the table name
:key: the idenfify of database
.. code-block:: python
q = db.insert('users').values((10, 'test_insert'))
# > INSERT INTO `users` VALUES(%s, %s)
print q._values
# > [(10, 'test_insert')]
q = db.insert('users').fields('name').values({'name': 'insert_1'}).values(('insert_2',))
# > INSERT INTO `users` (`name`) VALUES(%s)
print q._values
# > [('insert_1',), ('insert_2',)]
When you use ``execute`` api to get result, it will reutrn the ``last insert id``：
.. code-block:: python
print q.execute()
# > 2
update
-----------
The ``update`` api is used for building update sql statement.
update(table, key='default'):
:table: the table name
:key: the idenfify of database
mset and set：
:mset: the value must be dict tpye, that sets mutil-fileds at once time.
:set(column, value): set one field one time.
the where conditions please see `select`_ for more information.
.. code-block:: python
db.update('users').mset({'name':None, 'uid' : 12}).condition('name','user_1')
# > UPDATE `users` SET `name` = %s, `uid` = %s WHERE `name` = %s
q = (db.update('users').set('name', 'update_test').set('uid', 12)
.condition('name', 'user_2').condition('uid', 2)) # .execute()
print q.to_sql()
# > UPDATE `users` SET `name` = %s, `uid` = %s WHERE `name` = %s AND `uid` = %s
When you use ``execute`` api to get result, it will reutrn the ``rowcount``：
.. code-block:: python
print q.execute()
# > 2
limit
~~~~~~~~~
You can use limit api to lim the quantity of update.
.. code-block:: python
db.update('users').mset({'name':None, 'uid' : 12}).condition('name','user_1').limit(5)
# > UPDATE `users` SET `name` = %s, `uid` = %s WHERE `name` = %s LIMIT 5
delete
-----------
The ``delete`` api is used for building DELETE FROM sql statement.
delete(table, key='default'):
:table: the table name
:key: the idenfify of database
the where conditions please see `select`_ for more information.
.. code-block:: python
db.delete('users').condition('name','user_1')
# > DELETE FROM `users` WHERE `name` = %s
When you use ``execute`` api to get result, it will reutrn the ``rowcount``：
.. code-block:: python
print q.execute()
# > 2
to_sql and str
---------------------
you can use to_sql or __str__ method to the objects of ``select``, ``insert``, ``update``, ``delete`` to print the sql you build.
.. code-block:: python
q = (db.update('users').set('name', 'update_test').set('uid', 12)
.condition('name', 'user_2').condition('uid', 2))
print q.to_sql()
print q
# > UPDATE `users` SET `name` = %s, `uid` = %s WHERE `name` = %s AND `uid` = %s
transaction
------------
transaction(table, key='default'):
:table: the table name
:key: the idenfify of database
The simple transaction done all or do nothing, you cann't set savepoint.
.. code-block:: python
# with context
with db.transaction() as t:
t.delete('users').condition('uid', 1).execute()
(t.update('users').mset({'name':None, 'uid' : 12})
.condition('name','user_1').execute())
# the normal way
t = db.transaction()
t.begin()
t.delete('users').condition('uid', 1).execute()
(t.update('users').mset({'name':None, 'uid' : 12})
.condition('name','user_1').execute())
#if failed will rollback
t.commit()
.. note:: when uses begin must be combine with commit，otherwise the connection will not return connection pool.suggets to use ``with context``
simple orm
-----------
the orm demo `samples `_
.. code-block:: python
import model
from orm import Backend
import db
db.setup({ 'host': 'localhost', 'user': 'test', 'passwd': 'test', 'db': 'blog'})
user = Backend('user').find_by_username('username')
if user and user.check('password'):
print 'auth'
user = model.User('username', 'email', 'real_name', 'password',
'bio', 'status', 'role')
if Backend('user').create(user):
print 'fine'
user = Backend('user').find(12)
user.real_name = 'blablabla....'
if Backend('user').save(user):
print 'user saved'
if Backend('user').delete(user):
print 'delete user failed'
post = model.Post('title', 'slug', 'description', 'html', 'css', 'js',
'category', 'status', 'comments', 'author')
if not Backend('post').create(post):
print 'created failed'
Future
--------
Personal idea:
#. add ``join`` for select api
#. add a schema class for creating or changing table.
#. add some api for mysql individual sql like ``replace`` or ``duplicate update``
#. improve connection pool.
LICENSE
=======
Copyright (C) 2014-2015 Thomas Huang
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, version 2 of the License.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see .