Python SQLite - LIMIT Clause
In this article, we are going to discuss the LIMIT clause in SQLite using Python. But first, let's get a brief about the LIMIT clause.
If there are many tuples satisfying the query conditions, it might be resourceful to view only a handful of them at a time. LIMIT keyword is used to limit the data given by the SELECT statement.
Syntax:
SELECT column1, column2, column n
FROM table_name
LIMIT [no of rows];
where no of rows is an integer value specified as the no of rows to get as output from table.
Let's create a database.
# importing sqlite module
import sqlite3
# create connection to the database
# geeks_database
connection = sqlite3.connect('geeks_database.db')
# create table named address of customers
# with 4 columns id,name age and address
connection.execute('''CREATE TABLE customer_address
(ID INT PRIMARY KEY NOT NULL,
NAME TEXT NOT NULL,
AGE INT NOT NULL,
ADDRESS CHAR(50)); ''')
# close the connection
connection.close()
Output:
Now, Insert 5 records into the customer_address table.
# importing sqlite module
import sqlite3
# create connection to the database
# geeks_database
connection = sqlite3.connect('geeks_database.db')
# insert records into table
connection.execute(
"INSERT INTO customer_address VALUES (1, 'nikhil teja', 22, 'hyderabad' )")
connection.execute(
"INSERT INTO customer_address VALUES (2, 'karthik', 25, 'khammam')")
connection.execute(
"INSERT INTO customer_address VALUES (3, 'sravan', 22, 'ponnur' )")
connection.execute(
"INSERT INTO customer_address VALUES (4, 'deepika', 25, 'chebrolu' )")
connection.execute(
"INSERT INTO customer_address VALUES (5, 'jyothika', 22, 'noida')")
# close the connection
connection.close()
Output:
After adding data let's perform the limit operation. In this example, we are going to display the top 4 data from the table.
# importing sqlite module
import sqlite3
# create connection to the database
# geeks_database
connection = sqlite3.connect('geeks_database.db')
# sql query to display top4 data from table
cursor = connection.execute("SELECT * FROM customer_address LIMIT 4")
# display data row by row
for i in cursor:
print(i)
# close the connection
connection.close()
Output:
In this way, we can restrict the rows in the output and print the top N rows by setting the LIMIT as N.