Difference between revisions of "ADOdb for Python"
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* Oracle select * from (select * from table) where rownum <= 10 | * Oracle select * from (select * from table) where rownum <= 10 | ||
* These differences are handled by ADOdb (using SelectLimit), but not by the Python DB API. Other important database differences transparently handled by ADOdb include date-formating, associative arrays (records as dictionaries) and LOB-handling. | * These differences are handled by ADOdb (using SelectLimit), but not by the Python DB API. Other important database differences transparently handled by ADOdb include date-formating, associative arrays (records as dictionaries) and LOB-handling. | ||
| + | |Homepage URL=http://phplens.com/lens/adodb/adodb-py-docs.htm | ||
|User level=intermediate | |User level=intermediate | ||
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|Computer languages=Python | |Computer languages=Python | ||
|Documentation note=http://phplens.com/lens/adodb/adodb-py-docs.htm#install | |Documentation note=http://phplens.com/lens/adodb/adodb-py-docs.htm#install | ||
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|Related projects=ADOdb | |Related projects=ADOdb | ||
|Keywords=database,library,mysql,administration,Python,PostGreSQL,abstraction,database template library | |Keywords=database,library,mysql,administration,Python,PostGreSQL,abstraction,database template library | ||
| − | | | + | |Version identifier=5.20.9 |
| − | |Last review by= | + | |Version date=2016/12/21 |
| − | |Last review date= | + | |Version status=stable |
| + | |Version download=https://github.com/ADOdb/ADOdb/archive/v5.20.9.tar.gz | ||
| + | |Last review by=Alejandroindependiente | ||
| + | |Last review date=2016/12/26 | ||
|Submitted by=Database conversion | |Submitted by=Database conversion | ||
|Submitted date=2011-04-01 | |Submitted date=2011-04-01 | ||
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| − | | | + | |Is GNU=No |
| − | | | + | |License verified date=2009-02-10 |
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| + | |License=BSD_3Clause | ||
| + | |License verified by=Kelly Hopkins | ||
|License verified date=2009-02-10 | |License verified date=2009-02-10 | ||
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}} | }} | ||
{{Person | {{Person | ||
| + | |Real name=john Lim | ||
|Role=Maintainer | |Role=Maintainer | ||
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|Email=jlim@natsoft.com.my | |Email=jlim@natsoft.com.my | ||
|Resource URL= | |Resource URL= | ||
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|Works-with=database | |Works-with=database | ||
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Latest revision as of 18:47, 26 December 2016
ADOdb for Python
http://phplens.com/lens/adodb/adodb-py-docs.htm
a database abstraction library for Python.
ADOdb is a database abstraction library. ADOdb was originally developed for PHP, and ported to Python. The Python version implements a subset of the PHP version. You might ask why Python needs a database abstraction library when Python provides the official DB API. Unfortunately the DB API does not encapsulate differences in the database implementations. For example, to select a limited number of rows, say 10 rows, you would have to use very different SQL for different databases:
- MS SQL select top 10 from table
- MySQL and PostgreSQL select * from table limit 10
- Oracle select * from (select * from table) where rownum <= 10
- These differences are handled by ADOdb (using SelectLimit), but not by the Python DB API. Other important database differences transparently handled by ADOdb include date-formating, associative arrays (records as dictionaries) and LOB-handling.
Licensing
License
Verified by
Verified on
Notes
Leaders and contributors
| Contact(s) | Role |
|---|---|
| john Lim | Maintainer |
Resources and communication
Software prerequisites
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.