Then, we do an INSERT for each row we want to add. We create a table and call the cursor.execute() method, which is used when we want to execute a single SQL statement. execute ( "INSERT INTO student VALUES (3, 'Stephan', 'Taylor')" ) print ( "Insert #3 done!" ) execute ( "INSERT INTO student VALUES (2, 'Lucy', 'Jacobs')" ) print ( "Insert #2 done!" )Ĭursor. execute ( "INSERT INTO student VALUES (1, 'John', 'Smith')" ) print ( "Insert #1 done!" )Ĭursor. execute (create_query ) print ( "Table created!" ) # Insert and Read operationĬursor. In this example, we’ll create a students table that will contain the following data: idĪfter the print("Database created!") line, add this: # Create operationĬreate_query = '''CREATE TABLE IF NOT EXISTS student(Ĭursor. To create a table, we just need to execute a simple SQL statement. Create, read and modify recordsĪt this point, we’re ready to create a new table, add the first entries and execute SQL commands like SELECT, UPDATE or DROP. This file has been created automatically by sqlite3. If we look at the folder where our Python script is, we should see a new file called database.db. Now, if we execute this code we should get the following output: > Database created ! In database technologies, a cursor is a control structure that enables traversal over the records in a database. Each time we have to execute an SQL command, the Connection object has a method called cursor(). As stated in the official documentation, each open SQLite database is represented by a Connection object. If the try fails, we print the exception received and the connection to the database is closed. If everything goes right, conn will be an instance of the Connection object. Then, inside a try/except code block, we call nnect() to initialize a connection to the database. On line 1, we import the sqlite3 library. cursor ( ) print ( "Database created!" ) except Exception as e : print ( "Something bad happened: ", e ) if conn : The first thing to do is create a database and connect to it: import sqlite3Ĭursor = conn. It’s time to code! In this first part, we’ll create a basic database. The awesome thing is that sqlite3 comes with Python, so you don’t need to install anything. The sqlite3 module provides an SQL interface and requires at least SQLite 3.7.15. There are interfaces written in a lot of languages though, including Python. You can’t manage it as a process, you can’t start or stop it, or manage the resource usage.Īs I said in the introduction, SQLite is a C library. SQLite still a file-based data storage solution, not a service. Unlike MySQL or PostgreSQL, SQLite lacks multi-user functionalities. On the other hand, what are some reasons for not choosing SQLite? In fact, SQLite is 35% faster than a file-based system like a configuration file. SQLite can be used to store configuration data for your applications. Instead of using huge CSV files, you can exploit the power of SQL and put all your data into a single SQLite database. Well, there are a few cases where SQLite excels:īeing included on most mobile operating systems, like Android and iOS, SQLite could be a perfect choice if you want a self-contained and serverless data storage solution. ![]() Okay, so what are the usages of SQLite? Is it suitable for any kind of application? The file-based storage solution also provides concurrent access, meaning that multiple processes or threads can access the same database. ![]() db extension - and you have functions that allow you to run SQL statements or do any other operation on the database. All the data is stored in a file - usually with a. ![]() SQLite is different: it’s known as an embedded database, because it’s included in a program as a library. These use a client-server approach: the database is installed as a server, and then a client is used to connect to it. You may be familiar with other database technologies like MySQL or PostgreSQL. ![]() SQLite is an embedded database library written in C.
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