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Esercizi Lettura MySQL Python

Approfondisci la tua capacità di recuperare dati da MySQL con questi esercizi che utilizzano due delle librerie Python più comuni.

Esercizio 1: Lettura Singola con mysql-connector-python (Sequenziale)

Recuperare un singolo record da una tabella utilizzando mysql-connector-python.
import mysql.connector
def fetch_single_data():
connection = mysql.connector.connect(host='localhost', user='user', password='password', database='testdb')
cursor = connection.cursor()
query = "SELECT name, position FROM employees WHERE employee_id = 1"
cursor.execute(query)
result = cursor.fetchone()
print("Dati recuperati:", result)
cursor.close()
connection.close()
fetch_single_data()

Esercizio 2: Lettura Multipla con PyMySQL (OOP)

Recuperare più record contemporaneamente da una tabella utilizzando PyMySQL e OOP.
import pymysql
class Database:
def __init__(self):
self.connection = pymysql.connect(host='localhost', user='user', password='password', database='testdb')
def fetch_multiple_data(self):
with self.connection.cursor() as cursor:
query = "SELECT name, position FROM employees"
cursor.execute(query)
results = cursor.fetchall()
for row in results:
print("Dipendente:", row)
def close(self):
self.connection.close()
db = Database()
db.fetch_multiple_data()
db.close()

Esercizio 3: Lettura Condizionata con PyMySQL (Sequenziale)

Scrivere uno script per recuperare record con condizioni specifiche usando PyMySQL.
import pymysql
def fetch_conditional_records():
connection = pymysql.connect(host='localhost', user='user', password='password', database='testdb')
cursor = connection.cursor()
query = "SELECT name, position FROM employees WHERE position = 'Data Scientist'"
cursor.execute(query)
results = cursor.fetchall()
for row in results:
print("Dipendente:", row)
cursor.close()
connection.close()
fetch_conditional_records()

Esercizio 4: Lettura Tutto con mysql-connector-python (OOP)

Utilizzare mysql-connector-python per recuperare tutti i record da una tabella in modalità OOP.
import mysql.connector
class EmployeeDatabase:
def __init__(self):
self.connection = mysql.connector.connect(host='localhost', user='user', password='password', database='testdb')
def fetch_all_employees(self):
cursor = self.connection.cursor()
cursor.execute("SELECT * FROM employees")
results = cursor.fetchall()
for row in results:
print("Dipendente:", row)
cursor.close()
def close(self):
self.connection.close()
db = EmployeeDatabase()
db.fetch_all_employees()
db.close()

Esercizio 5: Lettura Specifica con mysql-connector-python (Sequenziale)

Recuperare una specifica colonna da una tabella utilizzando mysql-connector-python.
import mysql.connector
def fetch_specific_column():
connection = mysql.connector.connect(host='localhost', user='user', password='password', database='testdb')
cursor = connection.cursor()
query = "SELECT position FROM employees"
cursor.execute(query)
positions = cursor.fetchall()
print("Posizioni disponibili:")
for position in positions:
print(position)
cursor.close()
connection.close()
fetch_specific_column()

Esercizio 6: Lettura Multipla con mysql-connector-python (OOP)

Utilizzare mysql-connector-python per recuperare i record da più tabelle in modalità OOP.
import mysql.connector
class ProductDatabase:
def __init__(self):
self.connection = mysql.connector.connect(host='localhost', user='user', password='password', database='testdb')
def fetch_products_and_suppliers(self):
cursor = self.connection.cursor()
query = """
SELECT p.name, s.name
FROM products p
JOIN suppliers s ON p.supplier_id = s.supplier_id
"""
cursor.execute(query)
results = cursor.fetchall()
for row in results:
print("Prodotto e fornitore:", row)
cursor.close()
def close(self):
self.connection.close()
db = ProductDatabase()
db.fetch_products_and_suppliers()
db.close()

Esercizio 7: Lettura Aggregata con PyMySQL (Sequenziale)

Scrivere uno script per eseguire una query aggregata (es. COUNT, MAX) usando PyMySQL.
import pymysql
def fetch_aggregate_data():
connection = pymysql.connect(host='localhost', user='user', password='password', database='testdb')
cursor = connection.cursor()
query = "SELECT COUNT(*) FROM employees WHERE position = 'Developer'"
cursor.execute(query)
count = cursor.fetchone()
print("Numero di sviluppatori:", count[0])
cursor.close()
connection.close()
fetch_aggregate_data()

Esercizio 8: Lettura Singola con PyMySQL (OOP)

Creare una classe per recuperare un singolo record da una tabella usando PyMySQL.
import pymysql
class UserDatabase:
def __init__(self):
self.connection = pymysql.connect(host='localhost', user='user', password='password', database='testdb')
def fetch_user(self, user_id):
with self.connection.cursor() as cursor:
cursor.execute("SELECT name, email FROM users WHERE user_id = %s", (user_id,))
result = cursor.fetchone()
if result:
print("Utente trovato:", result)
else:
print("Nessun utente trovato con l'ID specificato.")
def close(self):
self.connection.close()
db = UserDatabase()
db.fetch_user(1)
db.close()

Esercizio 9: Lettura Dettagliata con mysql-connector-python (Sequenziale)

Recuperare dettagli da una tabella filtrando i risultati in base a una condizione specifica usando mysql-connector-python.
import mysql.connector
def fetch_detailed_records():
connection = mysql.connector.connect(host='localhost', user='user', password='password', database='testdb')
cursor = connection.cursor()
query = "SELECT name, hire_date FROM employees WHERE year(hire_date) > 2010"
cursor.execute(query)
results = cursor.fetchall()
for result in results:
print("Dipendente:", result)
cursor.close()
connection.close()
fetch_detailed_records()

Esercizio 10: Lettura Completa con PyMySQL (OOP)

Creare una classe che recupera tutte le informazioni da una tabella specifica utilizzando PyMySQL.
import pymysql
class CompleteFetchDatabase:
def __init__(self):
self.connection = pymysql.connect(host='localhost', user='user', password='password', database='testdb')
def fetch_all(self, table_name):
with self.connection.cursor() as cursor:
query = f"SELECT * FROM {table_name}"
cursor.execute(query)
results = cursor.fetchall()
for row in results:
print("Record:", row)
def close(self):
self.connection.close()
db = CompleteFetchDatabase()
db.fetch_all('employees')
db.close()