The row_factory function with the connection_obj.row_factory = row_factory assignment Here, the row_factory function is the factory callback thatĬonverts the default row representation from a tuple to a dictionary. In the following snippet, just like before, I’m creating the same colors table with twoĬolumns- name and hex. Table record and row is the default representation of a single database row as a tuple. The factory callback takes in two arguments-Ĭursor and row where cursor is a tuple containing some metadata related to a single Want to display the rows in a result list. You can attach a callback to the connection_obj.row_factory attribute to change how you Via an arbitrary container object as the row factory # However, you can change the representation of database rows in suchĪ way that the result might come out as a list of dictionaries or a list of custom objects. By default, the result of a query comes out as a list of tuples where each tuple The sqlite3 module allows you to change the representation of a database row to your Still pass through the guardrail without incurring any errors.įile "/home/rednafi/canvas/personal/reflections/src.py", line 45, in Returning sqlite3.SQLITE_OK from the callback ensures that unfiltered actions can Sqlite3.DatabaseError exception whenever a user tries to execute any of the restrictedĪctions. To deny anĪction, the auth_callback will have to return sqlite3.SQLITE_DENY and that’ll raise an In the following example, I’mĭisallowing create table, create index, drop table, and drop index actions. You can find the list of all the supported actions here 2. The second and third arguments depending on the first one. SQLite documentation about the possible values for the first argument and the meaning of The 5thĪrgument is the name of the inner-most trigger or view that is responsible for the accessĪttempt or None if this access attempt is directly from input SQL code. The 4thĪrgument is the name of the database (“main”, “temp”, etc.) if applicable. TheĢnd and 3rd arguments will be arguments or None depending on the 1st argument. The 1st argument to the callback signifies what kind of operation is to be authorized. Here, auth_callback takes in 5 arguments. ![]() ![]() The connection_obj.set_authorizer(auth_callback) allows you to implementĪuthorization control. Sometimes you need control over what operations are allowed to be run on an SQLite databaseĪnd what aren’t. ![]() We’re specifying the expected type in the select. We’ve also turned onĭetect_types=sqlite3.PARSE_DECLTYPES | sqlite3.PARSE_COLNAMES in the nnectįinally, notice how we’re inserting datetime.date and datetime.datetime objects directly So, in the table creation DDL statement, weĪnnotate the columns with date and timestamp types respectively. Here, I’ve created a table called timekeeper with two columns- d and dt where dĮxpects a date and dt expects a timestamp. Values of the column to a compatible type of Python object while returning the result of a However, Python sqlite3Īllows you to annotate a column with a special type and it’ll automatically convert the For example, SQLiteĭoesn’t have any special types to represent a date or timestamp. The sqlite3 module also employs some default adapters and converters that you can takeĪdvantage of without defining and registering custom transformers. Using the default adapters and converters #
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