![]() Print(c.fetchall()) # this stays 2, even tho there is only one row left, which works fineĬ.execute("INSERT INTO test (col1) VALUES (3)")Ĭ.execute("DELETE FROM test WHERE col1 LIKE 3")Ĭ.execute("INSERT INTO test (col1) VALUES (4)")Ĭ. MWE to maybe make that clearer: conn = nnect("db_problem.db")Ĭ.execute("INSERT INTO test (col1) VALUES (1)")Ĭ.execute("INSERT INTO test (col1) VALUES (2)")Ĭ.execute("DELETE FROM test WHERE col1 LIKE 1")Ĭ.execute("SELECT testID FROM test WHERE col1 LIKE 2") I'm new to SQLite and SQL in general, recently I've been trying to mess around and use the autoincrement function, I've done something wrong in my code because the autoincrement is not filling in the column at all (Just returns 'None'). I was wondering now, is there a way to have the database memorize every ID that was set earlier and not set the same ID twice, even when the maximum ID is deleted from the database? Change it to INSERT INTO child (e, f, g) VALUES (1, 1, 3) and it works. Your inserts are failing because there is no row (a, b) with values (1, 2). That works because deleting the most recent row leads to a lower maximum ID in the column, which makes sense to me. The AUTOINCREMENT keyword imposes extra CPU, memory, disk space, and disk I/O overhead and should be avoided if not strictly needed. The Column increases in value as desired, but if I delete the row with the maximum ID and then add another entry, it will receive the ID which was set already before. ![]() Therefore, I’m using a column “testID integer PRIMARY KEY”. ![]() ![]() I just want it to have an incrementing id starting at 1. I have created a table with an id field set to AUTOINCREMENT, but the field in the database is populated only by NULL values. In SQLite, a column with type INTEGER PRIMARY KEY is an alias for the ROWID (except in WITHOUT ROWID tables) which is. 1 I am trying to create a database using python to execute the SQL commands (for CS50x problem set 7). I’m starting to work with an SQL Database in python and I want to have multiple tables, where I can reference rows in each other’s table by ID. We start with two pieces of warning from sqlite doc: The AUTOINCREMENT keyword imposes extra CPU, memory, disk space, and disk I/O overhead and should be avoided if not. ![]()
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