Below you will find code that addresses the db setup on the Colab VM
, table creation
, data insertion
and data querying
. Execute all code snippets in individual notebook cells.
Note however that this example only shows how to execute the code on a non-persistent Colab VM. If you want to save your database to GDrive you will have to mount your Gdrive first (source):
from google.colab import drive
drive.mount('/content/gdrive')
and navigate to the appropriate file directory after.
Step 1: Create DB
import sqlite3
conn = sqlite3.connect('SQLite_Python.db') # You can create a new database by changing the name within the quotes
c = conn.cursor() # The database will be saved in the location where your 'py' file is saved
# Create table - CLIENTS
c.execute('''CREATE TABLE SqliteDb_developers
([id] INTEGER PRIMARY KEY, [name] text, [email] text, [joining_date] date, [salary] integer)''')
conn.commit()
Test whether the DB was created successfully:
!ls
Output:
sample_data SQLite_Python.db
Step 2: Insert Data Into DB
import sqlite3
try:
sqliteConnection = sqlite3.connect('SQLite_Python.db')
cursor = sqliteConnection.cursor()
print("Successfully Connected to SQLite")
sqlite_insert_query = """INSERT INTO SqliteDb_developers
(id, name, email, joining_date, salary)
VALUES (1,'Python','MakesYou@Fly.com','2020-01-01',1000)"""
count = cursor.execute(sqlite_insert_query)
sqliteConnection.commit()
print("Record inserted successfully into SqliteDb_developers table ", cursor.rowcount)
cursor.close()
except sqlite3.Error as error:
print("Failed to insert data into sqlite table", error)
finally:
if (sqliteConnection):
sqliteConnection.close()
print("The SQLite connection is closed")
Output:
Successfully Connected to SQLite
Record inserted successfully into SqliteDb_developers table 1
The SQLite connection is closed
Step 3: Query DB
import sqlite3
conn = sqlite3.connect("SQLite_Python.db")
cur = conn.cursor()
cur.execute("SELECT * FROM SqliteDb_developers")
rows = cur.fetchall()
for row in rows:
print(row)
conn.close()
Output:
(1, 'Python', 'MakesYou@Fly.com', '2020-01-01', 1000)