Cara Mudah Ekstrak Data Mysql Menggunakan Python

Publish on Jan 15, 2023 by Alfin F

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Jika pada tutorial sebelumnya kita telah belajar tentang connection pooling dan juga cara mengolah query sql menggunakan python.

Pada tutorial ini kita akan belajar bagaimana caranya mengekstrak data mysql menggunakan python.

Pastikan bahwa Anda telah mengikuti tutorial sebelumnya, terkait connection pooling. Dibagian ini kita akan mengunakan berbagai metho yang ada di librari mysql-connector-python.

pip install mysql-connector-python

Berikut ini beberap hal yang akan kita pelajari

Koneksi python database Mysql

Operasi CRUD python Mysql

Ektrak data python Mysql

Untuk mengikuti tutorial ini pastikan bahwa Anda telah berada pada mode python virtual environment dan juga Anda sudah menginstall database mysql di local computer Anda.

jika Anda menggunakan sistem operasi unik Anda bisa mengikuti tutorial berikut ini tentang cara menginstall database MYSQL

<br>

A) Persiapkan Data

Seperti biasa persiapkan query sql terlebih dahulu database dan tablenya.

CREATE DATABASE halovinaaja_db

CREATE TABLE MenuItems (
    ItemID INT AUTO_INCREMENT,
    Name VARCHAR(200),
    Type VARCHAR(100),
    Price INT,
    PRIMARY KEY (ItemID)
);

INSERT INTO MenuItems (ItemID, Name, Type, Price)
VALUES
(1,'Olives','Starters',5),
(2,'Flatbread','Starters', 5),
(3, 'Minestrone', 'Starters', 8),
(4, 'Tomato bread','Starters', 8),
(5, 'Falafel', 'Starters', 7),
(6, 'Hummus', 'Starters', 5),
(7, 'Greek salad', 'Main Courses', 15),
(8, 'Bean soup', 'Main Courses', 12),
(9, 'Pizza', 'Main Courses', 15),
(10,'Greek yoghurt','Desserts', 7),
(11, 'Ice cream', 'Desserts', 6),
(12, 'Cheesecake', 'Desserts', 4),
(13, 'Athens White wine', 'Drinks', 25),
(14, 'Corfu Red Wine', 'Drinks', 30),
(15, 'Turkish Coffee', 'Drinks', 10),
(16, 'Turkish Coffee', 'Drinks', 10),
(17, 'Kabasa', 'Main Courses', 17);

CREATE TABLE Menus (
    MenuID INT,
    ItemID INT,
    Cuisine VARCHAR(100),
    PRIMARY KEY (MenuID, ItemID)
);

INSERT INTO Menus (MenuID, ItemID, Cuisine)
VALUES
(1, 1, 'Greek'),
(1, 7, 'Greek'),
(1, 10, 'Greek'),
(1, 13, 'Greek'),
(2, 3, 'Italian'),
(2, 9, 'Italian'),
(2, 12, 'Italian'),
(2, 15, 'Italian'),
(3, 5, 'Turkish'),
(3, 17, 'Turkish'),
(3, 11, 'Turkish'),
(3, 16, 'Turkish');

CREATE TABLE Bookings (
    BookingID INT AUTO_INCREMENT,
    TableNo INT,
    GuestFirstName VARCHAR(100) NOT NULL,
    GuestLastName VARCHAR(100) NOT NULL,
    BookingSlot TIME NOT NULL,
    EmployeeID INT,
    PRIMARY KEY (BookingID)
);

INSERT INTO Bookings (BookingID, TableNo, GuestFirstName, 
GuestLastName, BookingSlot, EmployeeID)
VALUES
(1,12,'Anna','Iversen','19:00:00',1),
(2, 12, 'Joakim', 'Iversen', '19:00:00', 1),
(3, 19, 'Vanessa', 'McCarthy', '15:00:00', 3),
(4, 15, 'Marcos', 'Romero', '17:30:00', 4),
(5, 5, 'Hiroki', 'Yamane', '18:30:00', 2),
(6, 8, 'Diana', 'Pinto', '20:00:00', 5);

CREATE TABLE Orders (
    OrderID INT,
    TableNo INT,
    MenuID INT,
    BookingID INT,
    BillAmount INT,
    Quantity INT,
    PRIMARY KEY (OrderID,TableNo)
);

INSERT INTO Orders (OrderID, TableNo, MenuID, BookingID, Quantity, BillAmount)
VALUES
(1, 12, 1, 1, 2, 86),
(2, 19, 2, 2, 1, 37),
(3, 15, 2, 3, 1, 37),
(4, 5, 3, 4, 1, 40),
(5, 8, 1, 5, 1, 43);

CREATE TABLE Employees (
EmployeeID INT AUTO_INCREMENT,
Name VARCHAR(200),
Role VARCHAR(100),
Address VARCHAR(200),
Contact_Number INT,
Email VARCHAR(100),
Annual_Salary VARCHAR(100),
PRIMARY KEY (EmployeeID)
);

INSERT INTO Employees (EmployeeID, Name, Role, Address, Contact_Number, Email, Annual_Salary)
VALUES
(01,'Mario Gollini','Manager','724, Parsley Lane, Old Town, Chicago, IL',351258074,'Mario.g@littlelemon.com','$70,000'),
(02,'Adrian Gollini','Assistant Manager','334, Dill Square, Lincoln Park, Chicago, IL',351474048,'Adrian.g@littlelemon.com','$65,000'),
(03,'Giorgos Dioudis','Head Chef','879 Sage Street, West Loop, Chicago, IL',351970582,'Giorgos.d@littlelemon.com','$50,000'),
(04,'Fatma Kaya','Assistant Chef','132  Bay Lane, Chicago, IL',351963569,'Fatma.k@littlelemon.com','$45,000'),
(05,'Elena Salvai','Head Waiter','989 Thyme Square, EdgeWater, Chicago, IL',351074198,'Elena.s@littlelemon.com','$40,000'),
(06,'John Millar','Receptionist','245 Dill Square, Lincoln Park, Chicago, IL',351584508,'John.m@littlelemon.com','$35,000');