![]() It took me a while to figure this out after I started using MySQL with Python. The standard DictCursor documentation is pretty bad and examples are almost non-existant, so hopefully this will help someone out. I also modified the nnect on line 3 adding the argument cursorclass=. Without it, you will get this error:ĪttributeError: ‘module’ object has no attribute ‘cursors’ ![]() The keys for each dictionary object are the column names of the MySQL result. Flask, known for its simplicity and elegance, is a lightweight web application framework. Flask MySQL Step 4: Putting the Code into Action. And of course use a loop if you have more than 1 or two queries to execute. Flask MySQL Step 3: Programming a Flask application. for MySQLdb, I'd probably do something like this: import contextlib connection getconnectionsomehow() with contextlib.closing(connection) as con: with con as cursor: cursor.execute(query1) with con as cursor: cursor.execute(query2). Flask MySQL Step 2: Configuring the MySQL Connection Cursor. Hence why s remains in the SQL statement rather than being substituted. A MySQLCursorDict cursor returns each row as a dictionary. Flask MySQL Step 1: Connecting a Flask Application to a MySQL Database. Here is how to use Python’s MySQLdb’s cursor library to return a dictionary instead:ĭatabase = nnect(host = "localhost", user = "jim", passwd = "notmypassword", db = "company", cursorclass=) Background info: In the port of MySQLdb to Python 3 posted on an unofficial Python packages site, the execute function in cursors.py was modified to use format() rather than the operator. To create a cursor, use the cursor() method of a connection object: import mysql. Installation The README file has complete installation instructions. While that does the job, being able to call the fields using employee, employee and employee makes a lot more sense. Cursor objects interact with the MySQL server using a MySQLConnection object. Cursor Objects Some examples Using and extending Introduction MySQLdb is an interface to the popular MySQL database server that provides the Python database API. connection nnect (.) with connection as cursor: connection.enter executes at this line cursor.execute ('select 1 ') result cursor.fetchall () connection. ![]() You can supply an alternative cursor class as an optional parameter. Here is an example:ĭatabase = nnect(host = "localhost", user = "jim", passwd = "notmypassword", db = "company")Ĭ.execute("SELECT name, position, age FROM employees") MySQL does not support cursors however, cursors are easily emulated. The default MySQLdb library in Python only returns an array of values in the order you retrieve them.
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