SQLite is an open-source and simple database engine that allows you to create a relational database and interact with it. In general, it is very lightweight and can be used within almost all programming languages including Python.
- Simple: SQLite does not require any “setup” process and there is no need to start, stop, or configure any server to work on.
- Concurrency: it gives the ability to execute multiple queries or access multiple database files simultaneously in a single connection.
- Reliability: it can face any maliciously designed database files and SQL strings.
- Control: the content can be accessed and updated using powerful SQL queries.
- Scalability: SQLite is scalable, as long as you don’t need it for multi-user in high availability cases, and I don’t recommend using it in production with big data.
- Basic understanding of Python programming language.
- Basic understanding of how SQL queries work.
- DB Browser for SQLite, you can download it from here.
You are ready to go, let’s get started!
In this tutorial, you’ll learn how to:
- Install SQLite.
- Connect SQLite with Python.
- Create tables.
- Perform common database queries with Python application.
For Windows users use this command in your terminal:
pip install db-sqlite3
For Linux users you can use:
sudo apt-get install sqlite
Connect to a Database
After importing SQLite3, in order to connect to a database, we have to create a connection object to represent the database by using the connect() function.
For example, the following Python program connects to the database
import sqlite3 try: connection = sqlite3.connect("Database.db") print("Connection to SQLite DB successful") except: print("Error")
If we are trying to connect to an SQLite database that does not exist, then SQLite will create it automatically for us.
Now we are going to create a students table containing three columns ID(Integer),NAME(Chars with a max length of 20), and AGE(Integer).
cur = connection.cursor() Create_Students_Table ='''CREATE TABLE STUDENTS( ID INT, NAME CHAR(20) NOT NULL, AGE INT )''' cur.execute(Create_Students_Table)
A database cursor is a control structure that is used to execute statements in order to communicate with the SQLite database and fetch data from it.
Now let’s take a look at what our database looks like
Open the DB Browser for SQLite then click on open database, after choosing our file
database.db you will see what tables it contains.
To insert records into your SQLite database. You need to store your INSERT INTO query in a string. After that, you can pass the query string to the execute.
Let’s insert three records into the Students table:
Insert_Students ='''INSERT INTO STUDENTS(ID,NAME,AGE) VALUES('1','Ahmad',20), ('2','James',22), ('3','Eva',19) ''' cur.execute(Insert_Students)
To take a look at our data just click on Browse Data and here they are!
Now if we want to retrieve data after executing a SELECT statement, we have to treat the cursor as an iterator, or we can call fetchall() to get a list of the matching rows.
Here is how we call the fetchall():
cur.execute('''SELECT * FROM STUDENTS''') result = cur.fetchall() print(result)
The result will be:
[(1, 'Ahmad', 20), (2, 'James', 22), (3, 'Eva', 19)]
Treat the cursor as an iterator:
for row in cur.execute('''SELECT * FROM STUDENTS'''): print(row)
The result will be:
(1, 'Ahmad', 20) (2, 'James', 22) (3, 'Eva', 19)
The SELECT statement is the most important and complex one in SQLite. Here’s what you can use to make it a more specific statement:
- Use ORDER BY clause to sort the result set.
- Use DISTINCT clause to delete the duplicate rows in the results.
- Use WHERE clause to make a condition while fetching the data from tables.
- Use GROUP BY to gather data from multiple records and group the results by columns.
- Use the HAVING with GROUP BY clause in order to filter the result based on a condition.
Now let’s create a complex example to get a better idea:
cur.execute('''SELECT NAME FROM STUDENTS WHERE ID<3 ORDER BY AGE ASC''') result = cur.fetchall() print(result)
The result will be:
In that example, we are searching for names in table students where the ID is less than 3, and we used ASC to sort the column in ascending order(from the lowest value to the highest one).
Also, you can use DESC to sort the column in descending order(from the highest value to the lowest one).
Updating records in SQLite is very simple. We can update the AGE of the Students with an ID of 2 by:
Update_Students =''' Update students set AGE=35 WHERE ID=2 ''' cur.execute(Update_Students)
Now, if we execute the SELECT query(SELECT * FROM STUDENTS), we can see the following result:
[(1, 'Ahmad', 20), (2, 'James', 35), (3, 'Eva', 19)]
So far, we covered how to insert new data into a table, update an existing row, and SELECT data from a table. Sometimes, you need to delete data from a table.
Let’s go over how to delete data.
As an example, try to delete the student with an ID of 3:
Delete_Student = '''DELETE FROM STUDENTS WHERE id = 3''' cur.execute(Delete_Student)
Now, if you take a look at the STUDENTS table, you’ll see that the third student has been deleted.
[(1, 'Ahmad', 20), (2, 'James', 35)]
In the end, we have to commit our changes in the database. Not calling this method, will make anything you did after the last commit() not visible for the other database connection. So you have to make sure that you used this method before closing the connection.
Then we have to close the connection to the database by using:
When the connection is closed, any transaction will be considered as an un-committed change and in the next connection to the database, a ROLLBACK will happen, which means that the database will return to the last state before the last commit.
That means you have to pay attention when starting the transactions and committing them at appropriate points without worrying about closing the connection.
In this tutorial, you’ve learned how to use Python SQLite library, how to interact with it, and execute queries within a python application. However, this is just the tip of the iceberg! In the future, you’ll learn more about SQLite library as an advanced tutorial in our Languages section.