I'm looking to a way to "simply" access to a Caché database using python (I need to make sql query on this database).
I've heard about a python package (Intersys) but I can't find it anymore (having this package would be the most simple way).
I've tried using pyodbc connection with the appropriate Caché driver : it works on my machine, however when I try to deploi the function in production (Linux OS), the driver's file is not found.
Thank you
There is only one way, on how to make it work with Python, is using pydobc, and InterSystems driver.
Related
I am trying to execute a python code from Databricks which primarily establish a connection from Python to SQL server using JDBC.
I used 'jaydebeapi' python library and when I run the code it gives error saying "JayDeBeApi throws AttributeError: '_jpype.PyJPField' object has no attribute 'getStaticAttribute' "
I searched in the internet and found the Jpype library is used in jaydebeapi is the problem and I downgraded the same to 0.6.3 version.
But still I am getting the same error. Can anyone explain me how to make this change and run in databricks.
Or is there any alternative library which I can use.
Why not directly follow the offical documents of databricks below to install Microsoft JDBC Driver for SQL Server for Spark Connector and refer to the sample code of Python using JDBC connect SQL Server.
SQL Databases using the Apache Spark Connector
SQL Databases using JDBC and its Python example with the jdbc url of MS SQL Server
If you were using Azure, there are the same documents for Azure Databricks, as below.
SQL Databases using the Apache Spark Connector for Azure Databricks
SQL Databases using JDBC for Azure Databricks
This is a known issue with JayDeBeApi, you may check out the issue on GitHub.
Due to a bug in 0.6.3 private variables were exposed as part of the interface. Also 0.6.3 had a default class customizer which automatically created a property to get and set if the methods matched a Java bean pattern. This property customizer was loaded late after many common java.lang classes were already loaded, and was not retroactive thus only user loaded classes that happened after initializer would have the customization. The private variable bug would mask the property customizer as the property customizer was not to override fields. Some libraries were unknowingly accessing private variables assuming they were using the property customizer.
The customizer was both unnecessary and resulted in frequent errors for new programmers. The buggy behavior has been removed and the problematic property customizer has been disable by default in 0.7.
Add lines to the module to enable the old property behavior. But this will not reenable the previous buggy access to private variables. Thus code that was exploiting the previous behavior which bypassed the getter/setter of java will need to use the reflection API.
To enable the property customizer, use
try:
import jpype.beans
except ImportError:
pass
Hope this helps.
I am trying to get Django-pyodbc to work with DB2 on IBM i using the standard IBM i Access ODBC driver.
I know there is a Django DB implementation supported by IBM, but that requires the DB2 Connect product, which is (for us) prohibitively expensive, whereas the included Access ODBC driver comes no-charge with the OS.
I have seen a question asked regarding django-pyodbc with iSeries ODBC, suggesting that it is possible, but I have found no way to get it to work:
https://stackoverflow.com/questions/25066866/django-inspectdb-on-db2-database
My first question therefore is; has anybody succeeded in getting this setup to work?
And if yes, can you share information on how you did it?
Thanks,
Richard
im working on python application that requiring database connections..I had developed my application with sqlite3 but it start showing the error(the database is locked).. so I decided to use MySQL database instead.. and it is pretty good with no error..
the only one problem is that I need to ask every user using my application to install MySQL server on his pc (appserv for example) ..
so can I make mysql to be like sqlite3 apart of python lib. so I can produce a python script can be converted into exe file by the tool pyInstaller.exe and no need to install mysql server by users???
update:
after reviewing the code I found opened connection not closed correctly and work fine with sqllite3 ..thank you every body
It depends (more "depends" in the answer).
If you need to share the data between the users of your application - you need a mysql database server somewhere setup, your application would need to have an access to it. And, the performance can really depend on the network - depends on how heavily would the application use the database. The application itself would only need to know how to "speak" with the database server - python mysql driver, like MySQLdb or pymysql.
If you don't need to share the data between users - then sqlite may be an option. Or may be not - depends on what do you want to store there, what for and what do you need to do with the data.
So, more questions than answers, probably it was more suitable for a comment. At least, think about what I've said.
Also see:
https://stackoverflow.com/questions/1009438/which-database-should-i-use-for-my-desktop-application
Python Desktop Application Database
Python Framework for Desktop Database Application
Hope that helps.
If your application is a stand-alone system such that each user maintains their own private database then you have no alternative to install MySQL on each system that is running the application. You cannot bundle MySQL into your application such that it does not require a separate installation.
There is an embedded version of MySQL that you can build into your application (thanks, Carsten, in the comments, for pointing this out). More information is here: http://mysql-python.blogspot.com/. It may take some effort to get this working (on Windows you apparently need to build it from source code) and will take some more work to get it packaged up when you generate your executable, but this might be a MySQL solution for you.
I've just finished updating a web application using SQLite which had begun reporting Database is locked errors as the usage scaled up. By rewriting the database code with care I was able to produce a system that can handle moderate to heavy usage (in the context of a 15 person company) reliably still using SQLite -- you have to be careful to keep your connections around for the minimum time necessary and always call .close() on them. If your application is really single-user you should have no problem supporting it using SQLite -- and that's doubly true if it's single-threaded.
I'm writing a script to parse some text files, and insert the data that they contain into a mysql database. I don't have root access on the server that this script will run on. I've been looking at mysql-python, but it requires a bunch of dependencies that I don't have available. Is there a simpler way to do this?
I would recommend the MySQL Python Connector, a MySQL DB-API adapter that does not use the C client library but rather reimplements the MySQL protocol completely in pure Python (compatible with Python 2.5 to 2.7, as well a 3.1).
To install C-coded extensions to Python you generally need root access (though the server you're using might have arranged things differently, that's not all that likely). But with a pure Python solution you can simply upload the modules in question (e.g. those from the Connector I recommend) just as you're uploading those you write yourself, which (if you of course do have a valid userid and password for that MySQL database!-) might solve it for you.
What is the best way to access sql server from python is it DB-API ?
Also could someone provide a such code using the DB-API how to connect to sql server from python and excute query ?
See pyodbc - Python Database API Specification v2.0 implementation. Works great.
Additionally you can use it with other databases. If using with SQL Server 2008, make sure you use Native Driver if you need to support new DATE data types.
See pymssql It is a DB-API module for MS Sql Server and would be the most pythonic way. The documentation includes examples.
If on a Windows OS you could also use OLEDB through COM which will not require any thing else to be installed on the client.
Also if you use Iron Python you can use the .Net APIs
Also could someone provide a such code using the DB-API
how to connect to sql server from python and excute query ?
This hello world snippet pretty much shows you the common way how to connect with SQL server in Python with an DBI 2.0 database interface module.
Disclaimer: I'm the developer of pypyodbc
ODBC + freetds + a python wrapper library for ODBC.