Sqlite / SQLAlchemy: how to enforce Foreign Keys?
The new version of SQLite has the ability to enforce Foreign Key constraints, but for the sake of backwards-compatibility, you have to turn it on for each database connection separately!
sqlite
Force Python to forego native sqlite3 and use the (installed) latest sqlite3 version
The error message I am trying to get rid of is:
Django: Deploying an application on Heroku with sqlite3 as the database
I want to deploy an application with sqlite3 as the database on Heroku. However, it seems to be that Heroku doesn’t support applications with sqlite3 as the database. Is it true? Is there no way to deploy my sqlite3-backed application on Heroku?
How do you escape strings for SQLite table/column names in Python?
The standard approach for using variable values in SQLite queries is the “question mark style”, like this:
How to retrieve inserted id after inserting row in SQLite using Python?
How to retrieve inserted id after inserting row in SQLite using Python? I have table like this:
Parameter substitution for a SQLite “IN” clause
I am trying to use parameter substitution with SQLite within Python for an IN clause. Here is a complete running example that demonstrates:
python 3.2 UnicodeEncodeError: ‘charmap’ codec can’t encode character ‘u2013’ in position 9629: character maps to
I’m trying to make a script that gets data out from an sqlite3 database, but I have run in to a problem.
List of tables, db schema, dump etc using the Python sqlite3 API
For some reason I can’t find a way to get the equivalents of sqlite’s interactive shell commands:
How to load existing db file to memory in Python sqlite3?
I have an existing sqlite3 db file, on which I need to make some extensive calculations. Doing the calculations from the file is painfully slow, and as the file is not large (~10 MB), so there should be no problem to load it into memory.
Python SQLite parameter substitution with wildcards in LIKE
I am attempting to use a parametrized LIKE query with Python’s Sqlite library as below: