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Search found 8 results on 1 pages for 'dbapi'.

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• Escape SQL "LIKE" value for Postgres with psycopg2

  - by Evgeny

  Does psycopg2 have a function for escaping the value of a LIKE operand for Postgres? For example I may want to match strings that start with the string "20% of all", so I want to write something like this: sql = '... WHERE ... LIKE %(myvalue)s' cursor.fetchall(sql, { 'myvalue': escape_sql_like('20% of all') + '%' } Is there an existing escape_sql_like function that I could plug in here? (Similar question to How to quote a string value explicitly (Python DB API/Psycopg2), but I couldn't find an answer there.)

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• What are the differences among sqlite3 from python2.5, pysqlite and apsw

  - by leo

  Hi, I would like to know the differences among sqlite3 from python2.5, pysqlite and apsw? I have a bumpy run when trying to install pysqlite on windows vista with python2.5, see following: download sqlite from http://sqlite.org/download.html and unzip them into windows/system32 folder and put sqlite3.dll into c:/python25/Lib folder download pysqlite windows installer when trying to run following in python shell: >>> from pysqlite2 import test Traceback (most recent call last): File "<stdin>", line 1, in <module> File "pysqlite2\test\__init__.py", line 35, in <module> from pysqlite2.test import dbapi, types, userfunctions, factory, transactions,\ File "pysqlite2\test\dbapi.py", line 27, in <module> import pysqlite2.dbapi2 as sqlite File "pysqlite2\dbapi2.py", line 27, in <module> from pysqlite2._sqlite import * ImportError: No module named _sqlite I am wondering anybody with experiences of the above three types of sqlite binding to python can comment their pros and cons such as performances I am wondering is it worthwhile to try the pysqlite or apsw thanks

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• gentoo zlib removed = portage corrupted

  - by Shamanu4

  Hello I'm using gentoo not for a long time and have made such mistake: I've removed zlib package from system. Now i've got my portage system corrupted: # emerge --sync Traceback (most recent call last): File "/usr/bin/emerge", line 36, in <module> from _emerge.main import emerge_main File "/usr/lib64/portage/pym/_emerge/main.py", line 41, in <module> from _emerge.actions import action_config, action_sync, action_metadata, \ File "/usr/lib64/portage/pym/_emerge/actions.py", line 44, in <module> from _emerge.depgraph import backtrack_depgraph, depgraph, resume_depgraph File "/usr/lib64/portage/pym/_emerge/depgraph.py", line 40, in <module> from _emerge.FakeVartree import FakeVartree File "/usr/lib64/portage/pym/_emerge/FakeVartree.py", line 11, in <module> from portage.dbapi.vartree import vartree File "/usr/lib64/portage/pym/portage/dbapi/vartree.py", line 56, in <module> import re, shutil, stat, errno, copy, subprocess File "/usr/lib64/python2.6/subprocess.py", line 430, in <module> import pickle File "/usr/lib64/python2.6/pickle.py", line 1258, in <module> import binascii as _binascii ImportError: libz.so.1: cannot open shared object file: No such file or directory How can I reinstall zlip package and repair system?

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• error about django to connecct newes mssql2008

  - by qq263020776

  I am using django-mssql and SQL Server 2008, but I found that it always errors when I do some commands,for example: python manage.py syncdb the error is below: raise OperationalError(e, "Error opening connection: " + connection_string) ngo.db.backends.sqlserver_ado.dbapi.OperationalError: (com_error(-2147352567, xb7\xa2\xc9\xfa\xd2\xe2\xcd\xe2\xa1\xa3', (0, u'Microsoft OLE DB Provider for L Server', u'[DBNETLIB][ConnectionOpen (Connect()).]SQL Server \u4e0d \u5b58\u 8\u6216\u62d2\u7edd\u8bbf\u95ee\u3002', None, 0, -2147467259), None), 'Error ning connection: PROVIDER=SQLOLEDB;DATA SOURCE=115.238.106.100,60433;Network rary=DBMSSOCN;Initial Catalog=rvdb_1;UID=sa;PWD=xxxx') When I use Microsoft SQL Server Management studio client, I can successfully connect the database. I got some infomation from: http://code.google.com/p/django-mssql/issues/detail?id=76 but I still tried I got wrong and I think the solution provided is wrong.

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• Error connecting to SQL Server 2008 with Django

  - by qq263020776

  I am using django-mssql and SQL Server 2008, but I found that it always errors when I do some commands,for example: python manage.py syncdb the error is below: raise OperationalError(e, "Error opening connection: " + connection_string) ngo.db.backends.sqlserver_ado.dbapi.OperationalError: (com_error(-2147352567, xb7\xa2\xc9\xfa\xd2\xe2\xcd\xe2\xa1\xa3', (0, u'Microsoft OLE DB Provider for L Server', u'[DBNETLIB][ConnectionOpen (Connect()).]SQL Server \u4e0d \u5b58\u 8\u6216\u62d2\u7edd\u8bbf\u95ee\u3002', None, 0, -2147467259), None), 'Error ning connection: PROVIDER=SQLOLEDB;DATA SOURCE=115.238.106.100,60433;Network rary=DBMSSOCN;Initial Catalog=rvdb_1;UID=sa;PWD=xxxx') When I use Microsoft SQL Server Management studio client, I can successfully connect the database. I got some infomation from: http://code.google.com/p/django-mssql/issues/detail?id=76 but I still tried I got wrong and I think the solution provided is wrong.

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• Using SQL Alchemy and pyodbc with IronPython 2.6.1

  - by beargle

  I'm using IronPython and the clr module to retrieve SQL Server information via SMO. I'd like to retrieve/store this data in a SQL Server database using SQL Alchemy, but am having some trouble loading the pyodbc module. Here's the setup: IronPython 2.6.1 (installed at D:\Program Files\IronPython) CPython 2.6.5 (installed at D:\Python26) SQL Alchemy 0.6.1 (installed at D:\Python26\Lib\site-packages\sqlalchemy) pyodbc 2.1.7 (installed at D:\Python26\Lib\site-packages) I have these entries in the IronPython site.py to import CPython standard and third-party libraries: # Add CPython standard libs and DLLs import sys sys.path.append(r"D:\Python26\Lib") sys.path.append(r"D:\Python26\DLLs") sys.path.append(r"D:\Python26\lib-tk") sys.path.append(r"D:\Python26") # Add CPython third-party libs sys.path.append(r"D:\Python26\Lib\site-packages") # sqlite3 sys.path.append(r"D:\Python26\Lib\sqlite3") # Add SQL Server SMO sys.path.append(r"D:\Program Files\Microsoft SQL Server\100\SDK\Assemblies") import clr clr.AddReferenceToFile('Microsoft.SqlServer.Smo.dll') clr.AddReferenceToFile('Microsoft.SqlServer.SqlEnum.dll') clr.AddReferenceToFile('Microsoft.SqlServer.ConnectionInfo.dll') SQL Alchemy imports OK in IronPython, put I receive this error message when trying to connect to SQL Server: IronPython 2.6.1 (2.6.10920.0) on .NET 2.0.50727.3607 Type "help", "copyright", "credits" or "license" for more information. >>> import sqlalchemy >>> e = sqlalchemy.MetaData("mssql://") Traceback (most recent call last): File "<stdin>", line 1, in <module> File "D:\Python26\Lib\site-packages\sqlalchemy\schema.py", line 1780, in __init__ File "D:\Python26\Lib\site-packages\sqlalchemy\schema.py", line 1828, in _bind_to File "D:\Python26\Lib\site-packages\sqlalchemy\engine\__init__.py", line 241, in create_engine File "D:\Python26\Lib\site-packages\sqlalchemy\engine\strategies.py", line 60, in create File "D:\Python26\Lib\site-packages\sqlalchemy\connectors\pyodbc.py", line 29, in dbapi ImportError: No module named pyodbc This code works just fine in CPython, but it looks like the pyodbc module isn't accessible from IronPython. Any suggestions? I realize that this may not be the best way to approach the problem, so I'm open to tackling this a different way. Just wanted to get some experience with using SQL Alchemy and pyodbc.

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• Database for Python Twisted

  - by Will

  There's an API for Twisted apps to talk to a database in a scalable way: twisted.enterprise.dbapi The confusing thing is, which database to pick? The database will have a Twisted app that is mostly making inserts and updates and relatively few selects, and then other strictly-read-only clients that are accessing the database directly making selects. (The read-only users are not necessarily selecting the data that the Twisted app is inserting; its not as though the database is being used as a message-queue) My understanding - which I'd like corrected/adviced - is that: Postgres is a great DB, but all the Python bindings - and there is a confusing maze of them - are abandonware There is psycopg2, but that makes a lot of noise about doing its own connection-pooling and things; does this co-exist gracefully/usefully/transparently with the Twisted async database connection pooling and such? SQLLite is a great database for little things but if used in a multi-user way it does whole-database locking, so performance would suck in the usage pattern I envisage MySQL - after the Oracle takeover, who'd want to adopt it now or adopt a fork? Is there anything else out there?

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• Twisted + SQLAlchemy and the best way to do it.

  - by Khorkrak

  So I'm writing yet another Twisted based daemon. It'll have an xmlrpc interface as usual so I can easily communicate with it and have other processes interchange data with it as needed. This daemon needs to access a database. We've been using SQL Alchemy in place of hard coding SQL strings for our latest projects - those mostly done for web apps in Pylons. We'd like to do the same for this app and re-use library code that makes use of SQL Alchemy. So what to do? Well of course since that library was written for use in a Pylons app it's all the straight-forward blocking style code that everyone is accustomed to and all of the non-blocking is magically handled by Pylons via threading, thread locals, scoped sessions and so on. So now for Twisted I guess I'm a bit stuck. I could: Just write the sql I need directly if it's minimal and use the dbapi pool in twisted to do runInteractions etc when I need to hit the db. Use the objects and inherently blocking methods in our library and block now and then in my Twisted daemon. Bah. Use sAsync which was last updated in 2008 and kind of reuse the models we have defined already but not really and it does address code that needs to work in Pylons either. Does that even work with the latest version SQL Alchemy? Who knows. That project looked great though - why was it apparently abandoned? Spawn a separate subprocess and have it deal with the library code and all it's blocking, the results being returned back to my daemon when ready as objects marshalled via YAML over xmlrpc. Use deferToThread and then expunge the objects returned having made sure to do eager loads so that I have all my stuff that I might need. Seems kind of ugha to me. I'm also stuck using Python 2.5.4 atm so no 2.6 yet and I don't think I can just do an import from future to get access to the cool new multiprocessing module stuff in there. That's OK though I guess as we've got dealing with interprocess communication down pretty well. So I'm leaning towards option 4 mostly as that would avoid the mortal sin of logic duplication with option 1 while also staying the heck away from threads. Any better ideas?

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