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ื˜ื™ืคื™ื ืงืฆืจื™ื ืœืžืชื›ื ืชื™ื ืžืืช ื™ื ื•ืŸ ืคืจืง

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ืกื“ืจืช SQL ื‘ืกื™ืกื™ - ืคื•ืกื˜ 10 - ืžื—ื™ืงื” ื”ืคืขื•ืœื” ื”ื‘ืกื™ืกื™ืช ื”ืื—ืจื•ื ื” ืฉืœื ื• ืขื ื‘ืกื™ืกื™ ื ืชื•ื ื™ื ื”ื™ื ืคืขื•ืœืช ื”ืžื—ื™ืงื”. ืื™ืš ืœืžื—ื•ืง ืฉื•ืจื•ืช ืžื˜ื‘ืœื” ื”ืคืงื•ื“ื” DELETE ืžื•ื—ืงืช ืฉื•ืจื•ืช ืžื˜ื‘ืœื”. ื”ืคืงื•ื“ื” ืžืงื‘ืœืช ืืช ืฉื ื”ื˜ื‘ืœื” ื•ืืคืฉืจ ืœื”ื•ืกื™ืฃ ืœื” ื‘ืœื•ืง where ื›ื“ื™ ืœืžื—ื•ืง ืจืง ื—ืœืง ืžื”ืฉื•ืจื•ืช. ืื ื™ ื™ื•ืฆืจ ื‘ืกื™ืก ื ืชื•ื ื™ื ืœื“ื•ื’ืžื”:
CREATE TABLE planets (
    id INT PRIMARY KEY,
    name VARCHAR(50),
    diameter_km FLOAT,
    distance_from_sun_mkm FLOAT,
    number_of_rings INT
);

INSERT INTO planets (id, name, diameter_km, distance_from_sun_mkm, number_of_rings) VALUES
(1, 'Mercury', 4879.4, 57.9, 0),
(2, 'Venus', 12104, 108.2, 0),
(3, 'Earth', 12742, 149.6, 0),
(4, 'Jupiter', 139820, 778.5, 4),
(5, 'Saturn', 116460, 1434, 7);
ืชื—ื™ืœื” ื ืžื—ืง ืืช ื›ืœ ื”ืฉื•ืจื•ืช ืขื:
DELETE FROM planets;
ื•ื•ื“ืื• ืฉื›ืœ ื”ืฉื•ืจื•ืช ื ืžื—ืงื• ืขื select ื•ืื– ื”ื•ืกื™ืคื• ืื•ืชืŸ ืžื—ื“ืฉ. ื ืžืฉื™ืš ื•ื ืžื—ืง ืจืง ืืช ื”ืฉื•ืจื•ืช ืฉืžื™ื™ืฆื’ื•ืช ื›ื•ื›ื‘ื™ื ืขื ื˜ื‘ืขื•ืช:
DELETE FROM planets WHERE number_of_rings > 0;
ืขื›ืฉื™ื• ืืชื 1. ื”ื›ื ืกื• ืœืืชืจ https://sqliteonline.com ื•ืฉื ืฆืจื• ืืช ื”ื˜ื‘ืœืื•ืช ื•ืžื—ืงื• ืืช ื”ื ืชื•ื ื™ื ื‘ื›ืœ ืกื•ื’ื™ ื‘ืกื™ืกื™ ื”ื ืชื•ื ื™ื. 2. ืžื—ืงื• ืจืง ืืช ื”ืฉื•ืจื” ืฉืขืจืš ื” id ืฉืœื” ื”ื•ื 2. 3. ืžื—ืงื• ืืช ื›ืœ ื”ื›ื•ื›ื‘ื™ื ืฉื”ืงื•ื˜ืจ ืฉืœื”ื ื’ื“ื•ืœ ืž 5000.

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ืกื“ืจืช SQL ื‘ืกื™ืกื™ - ืคื•ืกื˜ 9 - ืขื“ื›ื•ืŸ ื ืชื•ื ื™ื ื‘ืกื™ืกื™ ื ืชื•ื ื™ื ืชื•ืžื›ื™ื ื‘-4 ืกื•ื’ื™ื ืฉืœ ืคืขื•ืœื•ืช ืขืœ ื”ืžื™ื“ืข ืฉื–ื›ื• ืœืงื™ืฆื•ืจ CRUD. ื”ืคืขื•ืœื•ืช ื”ืŸ Create, Read, Update, Delete ืื• ื‘ืขื‘ืจื™ืช "ื™ืฆื™ืจื”", "ืงืจื™ืื”", "ืขื“ื›ื•ืŸ" ื•"ืžื—ื™ืงื”". ืจืื™ื ื• ื›ื‘ืจ ืื™ืš ืœื‘ืฆืข ืืช ื”ืฉืชื™ื™ื ื”ืจืืฉื•ื ื•ืช ื•ื‘ื—ืœืง ื–ื” ื ืขื‘ื•ืจ ืœื“ื‘ืจ ืขืœ ืขื“ื›ื•ื ื™ื ื•ืžื—ื™ืงื•ืช. ืขื“ื›ื•ืŸ ื›ืœ ื”ืฉื•ืจื•ืช ื ืชื—ื™ืœ ื‘ื™ืฆื™ืจืช ื˜ื‘ืœื” ืฉืœ ืฉื™ืจื™ื. ื”ืจื™ืฆื• ืืช ื”ืคืงื•ื“ื•ืช ื”ื‘ืื•ืช ื‘ SQLime ืื• ื‘ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ื”ืžื•ืขื“ืฃ ืขืœื™ื›ื:
CREATE TABLE songs (
    id INT PRIMARY KEY,
    title VARCHAR(100),
    artist VARCHAR(100),
    album VARCHAR(100),
    release_year INT,
    genre VARCHAR(50),
    duration VARCHAR(50)
);

INSERT INTO songs (id, title, artist, album, release_year, genre, duration)
VALUES 
(1, 'Bohemian Rhapsody', 'Queen', 'A Night at the Opera', 1975, 'Rock', '05:55'),

(2, 'Shape of You', 'Ed Sheeran', 'รท (Divide)', 2017, 'Pop', '04:24'),

(3, 'Hotel California', 'Eagles', 'Hotel California', 1976, 'Rock', '06:30');
ืคืงื•ื“ืช SELECT * FROM songs ืžื—ื–ื™ืจื” ื›ืขืช ืืช ื”ื ืชื•ื ื™ื:
id title artist album release_year genre duration
1 Bohemian Rhapsody Queen A Night at the Opera 1975 Rock 05:55
2 Shape of You Ed Sheeran รท (Divide) 2017 Pop 04:24
3 Hotel California Eagles Hotel California 1976 Rock 06:30
ืคืงื•ื“ืช UPDATE ืžืฉื ื” ืืช ื”ืขืจืš ื‘ืขืžื•ื“ื” ืื—ืช ืื• ื™ื•ืชืจ ืœืขืจืš ืงื‘ื•ืข ื‘ื›ืœ ื”ืฉื•ืจื•ืช. ื‘ื“ื•ื’ืžื” ื”ืจืืฉื•ื ื” ื ืขื“ื›ืŸ ืืช ืฉื ืช ื”ื™ืฆื™ืจื” ืฉืœ ื›ืœ ื”ืฉื™ืจื™ื ืฉืœื ื• ืœ 1234:
UPDATE songs SET release_year = 1234;
ื‘ืฉื‘ื™ืœ ืœืขื“ื›ืŸ ืžืกืคืจ ืขืžื•ื“ื•ืช ืื ื™ ืžืคืจื™ื“ ืื•ืชืŸ ื‘ืคืกื™ืง ืœื“ื•ื’ืžื”:
update songs set artist = 'a', duration = '02:23';
ื‘ื ื•ืกืฃ ืืคืฉืจ ืœื”ืฉืชืžืฉ ื‘ื‘ื™ื˜ื•ื™ ื—ืฉื‘ื•ื ื™ ื‘ืขื“ื›ื•ืŸ ื›ื“ื™ ืœืงื‘ืœ ืขืจืš ื—ื“ืฉ ื”ืžื‘ื•ืกืก ืขืœ ื”ืขืจืš ื”ืงื•ื“ื ืœื“ื•ื’ืžื”:
update songs set release_year = release_year + 5;
ืขื“ื›ื•ืŸ ืจืง ื—ืœืง ืžื”ืฉื•ืจื•ืช - ืคืงื•ื“ืช WHERE ื”ืคืงื•ื“ื” where ืžืืคืฉืจืช ืœื”ืจื™ืฅ ืคืงื•ื“ืช SQL ืจืง ืขืœ ื—ืœืง ืžื”ืฉื•ืจื•ืช. ื‘ืœื•ืง where ื™ืขื–ื•ืจ ืœื ื• ื’ื ื‘ืคืงื•ื“ื•ืช select ื›ื“ื™ ืœืงื‘ืœ ืจืง ื—ืœืง ืžื”ืฉื•ืจื•ืช, ื•ื™ื”ื™ื” ืงืจื™ื˜ื™ ื‘ืคืงื•ื“ื•ืช update ื›ื“ื™ ืœืขื“ื›ืŸ ืจืง ื—ืœืง ืžื”ืฉื•ืจื•ืช. ื‘ืœื•ืง where ื ื›ืชื‘ ื‘ืกื•ืฃ ื”ืฉืื™ืœืชื” ื•ืื—ืจื™ ื”ืžื™ืœื” where ืื ื—ื ื• ื›ื•ืชื‘ื™ื ืชื ืื™. ืจืง ืฉื•ืจื•ืช ืฉืžืชืื™ืžื•ืช ืœืชื ืื™ ื™ื™ื›ื ืกื• ืœืชื•ืฆืื”. ืื ื™ ื™ื•ืฆืจ ืžื—ื“ืฉ ืืช ื˜ื‘ืœืช ื”ืฉื™ืจื™ื ื‘ื‘ืกื™ืก ื ืชื•ื ื™ื ื—ื“ืฉ ื•ืœืื—ืจ ืžื›ืŸ ืžืคืขื™ืœ ืืช ื”ืคืงื•ื“ื” ื”ื‘ืื”:
select * from songs where release_year > 2000;
ื•ื”ืชื•ืฆืื” ื”ื™ื ืจืง ื”ืฉื™ืจ ืฉืœ ืื“ ืฉื™ืจืŸ. ืื• ื‘ืฉื‘ื™ืœ ืœืงื‘ืœ ื›ืžื” ืฉื•ืจื•ืช ืื ื™ ืžืคืขื™ืœ ืืช ื”ืคืงื•ื“ื”:
select * from songs where genre = 'Rock';
ื•ืžืงื‘ืœ ืืช ืฉื ื™ ื”ืฉื™ืจื™ื ื”ืื—ืจื™ื. ืฉื™ืžื• ืœื‘ ืฉื‘ืชื•ืš ื”ืžื—ืจื•ื–ืช ื™ืฉ ื”ื‘ื“ืœ ื‘ื™ืŸ ืื•ืชื™ื•ืช ื’ื“ื•ืœื•ืช ืœืงื˜ื ื•ืช ืœื›ืŸ ื”ื›ืจื—ื™ ืœื›ืชื•ื‘ ืืช ื” R ื’ื“ื•ืœื”. ื›ืฉืžื•ืกื™ืคื™ื ืืช WHERE ืœ UPDATE ืื ื—ื ื• ื™ื›ื•ืœื™ื ืœืขื“ื›ืŸ ืจืง ื—ืœืง ืžื”ืฉื•ืจื•ืช ืœื“ื•ื’ืžื” ื”ืคืงื•ื“ื” ื”ื‘ืื” ืชืขื“ื›ืŸ ืืช ื”ืฉื ื” ืจืง ืœืฉื™ืจ ืฉืœ ืื“ ืฉื™ืจืŸ:
update songs set release_year=1234 where release_year > 2000;
ื”ืจื‘ื” ืคืขืžื™ื ื›ืฉืื ื—ื ื• ืจื•ืฆื™ื ืœื”ืคืขื™ืœ ืคืงื•ื“ืช update ืจืง ืขืœ ืฉื•ืจื” ื‘ื•ื“ื“ืช ื ืขื“ื™ืฃ ืœื”ืฉืชืžืฉ ื‘ id ื‘ืชื•ืš ื” where, ื›ื™ ืื ื—ื ื• ื™ื•ื“ืขื™ื ืฉื™ืฉ ืจืง ืฉื•ืจื” ืื—ืช ืขื ื›ืœ id. ื”ืคืงื•ื“ื” ื”ื‘ืื” ืžืขื“ื›ืŸ ืืช ื”ื–'ืื ืจ ืฉืœ ื”ืื™ื’ืœืก:
update songs set genre = 'Pop' where id=3;
ืขื›ืฉื™ื• ืืชื 1. ื”ืคืขื™ืœื• ืืช SQLime ืขืœ ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ืœื“ื•ื’ืžื” ืฉืœื”ื ื•ืฉื ื• ืืช ืฉื ื”ืžื—ืœืงื” ืž hr ืœ Human Resources ืœืขื•ื‘ื“ื™ื ื‘ hr. 2. ื”ืขืœื• ืืช ื”ืžืฉื›ื•ืจืช ื‘ 5 ืœื›ืœ ื”ืขื•ื‘ื“ื™ื. 3. ืจืื™ื ื• ืื™ืš ืœื”ื•ืกื™ืฃ ืขืจืš ืžืกืคืจื™ ืœืžื™ื“ืข ื‘ืขืžื•ื“ื” ืขื set. ืžื” ืงื•ืจื” ื›ืฉืืชื ืžื ืกื™ื ืœืฉื ื•ืช ื›ืš ืขืžื•ื“ืช ื˜ืงืกื˜? ื ืกื• ืœื”ื•ืกื™ืฃ ืขืจืš ืงื‘ื•ืข ืœืฉืžื•ืช ืฉืœ ื›ืœ ื”ืขื•ื‘ื“ื™ื ื›ื“ื™ ืœื‘ื“ื•ืง ืžื” ืงื•ืจื”.

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Requirements:  
- Experience with SEO, SEM, and social media advertising  
- Proficiency in Google Analytics and AdWords  
- Strong written and verbal communication skills  
- Ability to analyze data and generate actionable insights  
- 2+ years of experience in digital marketing  
Expected Pay: $60,000 - $80,000 per year  

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Company Name: Global Enterprises  
Company Location: 456 Corporate Blvd, San Francisco, CA  
Role: Human Resources Manager  
Description: Global Enterprises is seeking a seasoned Human Resources Manager to oversee all aspects of HR practices and processes. The successful candidate will play a key role in developing HR strategies, managing employee relations, and ensuring compliance with labor laws.  
Requirements:  
- Bachelor's degree in Human Resources, Business Administration, or related field  
- Proven experience as an HR Manager or similar role  
- Knowledge of HR systems and databases  
- Excellent interpersonal and communication skills  
- Strong leadership and decision-making abilities  
Expected Pay: $90,000 - $110,000 per year  

---

Company Name: Creative Studio  
Company Location: Remote  
Role: Graphic Designer  
Description: Creative Studio is looking for a talented Graphic Designer to join our team. You will work on a variety of design projects, from digital graphics to print materials, and collaborate with other creatives to bring ideas to life.  
Requirements:  
- Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign)  
- Strong portfolio showcasing design skills  
- Understanding of design principles and typography  
- Excellent communication and teamwork skills  
- 2+ years of experience in graphic design  
Expected Pay: $50,000 - $70,000 per year  

---

Company Name: Fast Sales Solutions  
Company Location: 789 Sales Avenue, Chicago, IL  
Role: Sales Representative  
Description: Fast Sales Solutions is seeking a motivated Sales Representative to join our team. The ideal candidate will have a knack for building relationships, closing deals, and exceeding sales targets.  
Requirements:  
- Proven experience as a Sales Representative  
- Excellent communication and negotiation skills  
- Ability to work independently and as part of a team  
- Strong organizational and time-management skills  
- Willingness to travel  
Expected Pay: $50,000 - $75,000 per year + commission  
ื”ืขื‘ื™ืจื• ืืช ื”ืจืฉื™ืžื” ืœื˜ื‘ืœื” ื‘ื‘ืกื™ืก ื ืชื•ื ื™ื. ื ืกื• ืœื—ืฉื•ื‘ ืื™ื–ื” ืขืžื•ื“ื•ืช ืืชื ืฆืจื™ื›ื™ื ื•ืžื” ืฆืจื™ืš ืœื”ื™ื•ืช ื˜ื™ืคื•ืก ื”ื ืชื•ื ื™ื ื‘ื›ืœ ืขืžื•ื“ื”. ืœืื—ืจ ืžื›ืŸ: 1. ื”ืฆื™ื’ื• ืืช ืฉืžื•ืช ื›ืœ ื”ื—ื‘ืจื•ืช ืฉืžื’ื™ื™ืกื•ืช. 2. ื”ืฆื™ื’ื• ืืช ื”ื—ื‘ืจื” ืฉืžืฆื™ืขื” ืืช ื”ืฉื›ืจ ื”ื’ื‘ื•ื” ื‘ื™ื•ืชืจ.

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ืกื“ืจืช SQL ื‘ืกื™ืกื™ - ืคื•ืกื˜ 8 - ืชืจื’ื•ืœ ื”ื™ื›ืจื•ืช ืขื ื‘ืกื™ืกื™ ื ืชื•ื ื™ื ื”ื™ื•ื ื ื™ืงื— ื”ืคืกืงื” ืžื—ื•ืžืจ ื—ื“ืฉ ื•ื ืชืจื’ืœ ืืช ื›ืœ ื”ืคืงื•ื“ื•ืช ืฉืœืžื“ื ื• ืขื“ ืขื›ืฉื™ื•. ื˜ื‘ืœืช ืžืกืขื“ื•ืช ื ืชื•ื ื” ืจืฉื™ืžืช ื”ืžืกืขื“ื•ืช ื”ื‘ืื”:
1. La Belle Cuisine
Address: 123 Rue de Gastronomie, Paris, France
Rank: โญ๏ธโญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: โ‚ฌ50 - โ‚ฌ70
Date of Last Health Inspection: July 15, 2024
Useful Tip: Try the chef's special dessert; it's a local favorite!

2. Sushi Zen
Address: 456 Ocean Avenue, Tokyo, Japan
Rank: โญ๏ธโญ๏ธโญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: ยฅ3,000 - ยฅ6,000
Date of Last Health Inspection: June 22, 2024
Useful Tip: Arrive early to get a spot at the sushi bar for an interactive experience.

3. The Rustic Grill
Address: 789 Maple Street, Austin, TX, USA
Rank: โญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: $20 - $35
Date of Last Health Inspection: August 1, 2024
Useful Tip: The BBQ ribs are a must-try, especially on Wednesdays when they're half-off!

4. Pasta Paradiso
Address: 321 Via Roma, Rome, Italy
Rank: โญ๏ธโญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: โ‚ฌ30 - โ‚ฌ50
Date of Last Health Inspection: July 5, 2024
Useful Tip: Ask for a table on the terrace for a beautiful view of the city.

5. The Green Garden Cafรฉ
Address: 123 Vegan Lane, Portland, OR, USA
Rank: โญ๏ธโญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: $15 - $25
Date of Last Health Inspection: June 30, 2024
Useful Tip: The avocado toast is a popular dish; pair it with a cold-pressed juice!

6. Le Petit Bistro
Address: 789 Rue de la Petite, Lyon, France
Rank: โญ๏ธโญ๏ธโญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: โ‚ฌ40 - โ‚ฌ60
Date of Last Health Inspection: July 20, 2024
Useful Tip: Book a reservation in advance, as seating is limited and highly sought after.

7. Curry Corner
Address: 456 Spice Street, Mumbai, India
Rank: โญ๏ธโญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: โ‚น800 - โ‚น1,500
Date of Last Health Inspection: June 18, 2024
Useful Tip: Don't miss their signature butter chicken; it's a crowd-pleaser!

8. Casa del Mar
Address: 321 Beach Blvd, Barcelona, Spain
Rank: โญ๏ธโญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: โ‚ฌ35 - โ‚ฌ55
Date of Last Health Inspection: July 10, 2024
Useful Tip: The seafood paella is a must-try, especially with a glass of local white wine.

9. Urban Tacos
Address: 123 Downtown Avenue, Los Angeles, CA, USA
Rank: โญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: $10 - $20
Date of Last Health Inspection: August 2, 2024
Useful Tip: Visit during Taco Tuesday for great deals and a lively atmosphere!

10. The Golden Wok
Address: 789 Oriental Street, Hong Kong
Rank: โญ๏ธโญ๏ธโญ๏ธโญ๏ธ
Expected Meal Price: HK$100 - HK$300
Date of Last Health Inspection: July 25, 2024
Useful Tip: The dim sum menu is extensive and delicious; try a variety for the best experience!
ืฉืžืจื• ืืช ื”ืจืฉื™ืžื” ืœื˜ื‘ืœื” ื‘ื‘ืกื™ืก ื ืชื•ื ื™ื ื•ืœืื—ืจ ืžื›ืŸ ื”ืฆื™ื’ื•: 1. ืืช ื›ืœ ื”ื˜ื™ืคื™ื 2. ืืช ื”ืฉืžื•ืช ื•ื”ื›ืชื•ื‘ื•ืช ืฉืœ ื›ืœ ื”ืžืกืขื“ื•ืช 3. ืืช 5 ื”ืžืกืขื“ื•ืช ื”ืžื“ื•ืจื’ื•ืช ื”ื›ื™ ื’ื‘ื•ื” 4. ืืช 5 ื”ืžืกืขื“ื•ืช ื‘ื”ืŸ ื”ืืจื•ื›ื” ืชื”ื™ื” ื”ื›ื™ ื–ื•ืœื” ื ืกื• ืœื—ืฉื•ื‘ ืžื” ื™ื”ื™ื” ื˜ื™ืคื•ืก ื”ื ืชื•ื ื™ื ื”ื˜ื•ื‘ ื‘ื™ื•ืชืจ ืœื›ืœ ืขืžื•ื“ื”. ื˜ื‘ืœืช ื—ื™ืคื•ืฉ ืขื‘ื•ื“ื” ื ืชื•ื ื” ืจืฉื™ืžื” ืฉืœ ืžื•ื“ืขื•ืช ื“ืจื•ืฉื™ื:
Company Name: Tech Innovators Inc.  
Company Location: Remote  
Role: Software Engineer  
Description: Tech Innovators Inc. is seeking a skilled Software Engineer to join our growing team. You'll work on cutting-edge projects, collaborate with a talented group of developers, and contribute to building scalable and efficient software solutions.  
Requirements:  
- Proficiency in Java, Python, or C++  
- Experience with cloud technologies (AWS, Azure, GCP)  
- Strong problem-solving skills and attention to detail  
- Bachelor's degree in Computer Science or related field  
- 3+ years of professional software development experience  
Expected Pay: $100,000 - $120,000 per year  

---

Company Name: Marketing Masters  
Company Location: 123 Market Street, New York, NY  
Role: Digital Marketing Specialist  
Description: Marketing Masters is looking for a creative and analytical Digital Marketing Specialist to manage online campaigns and optimize our digital presence. The ideal candidate will have a passion for digital marketing and a strong understanding of the latest trends and tools.

ToCode
1 419
ืกื“ืจืช SQL ื‘ืกื™ืกื™ - ืคื•ืกื˜ 7 - ื”ืžื™ืœื™ื ORDER ื• LIMIT ื‘ืฉื™ืขื•ืจ ื–ื” ื ืœืžื“ ืขืœ ืขื•ื“ 3 ืคืงื•ื“ื•ืช ื—ืฉื•ื‘ื•ืช ื‘ื›ืชื™ื‘ืช ืฉืื™ืœืชื•ืช: ORDER, LIMIT ื• OFFSET. ืžื™ื•ืŸ ื”ืชื•ืฆืื•ืช ืื ื™ ื—ื•ื–ืจ ืœ SQLime ื•ื™ื•ืฆืจ ื‘ืกื™ืก ื ืชื•ื ื™ื ืœื“ื•ื’ืžื” ื—ื“ืฉ ื•ืื– ืžืฆื™ื’ ืืช ื›ืœ ื”ื ืชื•ื ื™ื ืžื˜ื‘ืœืช ื”ืขื•ื‘ื“ื™ื:
select * from employees;
ืื ื—ื ื• ืจื•ืื™ื ืฉืœื›ืœ ืขื•ื‘ื“ ื™ืฉ ืžืฉื›ื•ืจืช ืื‘ืœ ืื ื—ื ื• ืงื™ื‘ืœื ื• ืืช ื”ืชื•ืฆืื•ืช ืงืฆืช ื‘ืขืจื‘ื•ื‘ื™ื”. ื”ืจื‘ื” ืคืขืžื™ื ื ื•ื— ืœื ื• ืœืจืื•ืช ืืช ื”ื ืชื•ื ื™ื ืžืžื•ื™ื ื™ื ืœืคื™ ืฉื“ื” ืื—ื“ ืื• ื™ื•ืชืจ - ื•ื‘ืฉื‘ื™ืœ ื–ื” ืœ SQL ื™ืฉ ืืช ื”ืคืงื•ื“ื” ORDER BY. ื ื•ืกื™ืฃ ืื•ืชื” ืœืฉืœื™ืคื” ื›ื“ื™ ืœื”ืฆื™ื’ ืืช ื”ื ืชื•ื ื™ื ืžืžื•ื™ื™ื ื™ื ืœืคื™ ื”ืžืฉื›ื•ืจืช:
select * from employees ORDER BY salary;
ืื• ืื ืื ื—ื ื• ืจื•ืฆื™ื ืžืฉื›ื•ืจื•ืช ื’ื‘ื•ื”ื•ืช ืชื—ื™ืœื” ื ื•ื›ืœ ืœื”ืฉืชืžืฉ ื‘ืžื™ื•ืŸ ื‘ืกื“ืจ ื™ื•ืจื“ ื‘ืืžืฆืขื•ืช ื”ื•ืกืคืช ื”ืžื™ืœื” DESC ืื—ืจื™ ืฉื ื”ืขืžื•ื“ื”:
select * from employees ORDER BY salary DESC;
ื ืฉื™ื ืœื‘ ืฉื‘ื ืชื•ื ื™ ื”ื“ื•ื’ืžื” ืœื“ื™ื™ื‘ ื•ืœืกื™ื ื“ื™ ื™ืฉ ืืช ืื•ืชื” ืžืฉื›ื•ืจืช. ืกื™ื ื“ื™ ื”ื•ืคื™ืขื” ืงื•ื“ื ืื‘ืœ ื–ื” ืœื’ืžืจื™ ื‘ืžืงืจื”. ืื ื—ื ื• ื™ื›ื•ืœื™ื ืœื”ื•ืกื™ืฃ ืžื™ื•ืŸ ืžืฉื ื™ ืœืžืฉืœ ืœืคื™ ืฉื ื”ืขื•ื‘ื“:
select * from employees ORDER BY salary DESC, name ASC;
ืขื›ืฉื™ื• ืื ื™ ืžื‘ืงืฉ ืืช ื›ืœ ื”ื ืชื•ื ื™ื ืžืžื•ื™ื ื™ื ื‘ืกื“ืจ ื™ื•ืจื“ ืœืคื™ ืขืžื•ื“ืช ื”ืžืฉื›ื•ืจืช ื•ืื ื™ืฉ ื›ืžื” ืขื•ื‘ื“ื™ื ืขื ืื•ืชื” ืžืฉื›ื•ืจืช ืื– ื”ื ื™ืกื•ื“ืจื• ื‘ืกื“ืจ ืขื•ืœื” ืœืคื™ ืขืžื•ื“ืช ืฉื ื”ืขื•ื‘ื“. ื”ืฆื’ืช ืจืง ื—ืœืง ืžื”ืชื•ืฆืื•ืช ื‘ื˜ื‘ืœืช ื”ื“ื•ื’ืžื” ื™ืฉ ื™ื—ืกื™ืช ืžืขื˜ ืขื•ื‘ื“ื™ื ืื‘ืœ ืงืœ ืœื“ืžื™ื™ืŸ ืžืขืจื›ืช ืืžื™ืชื™ืช ืขื ืืœืคื™ ืื• ืขืฉืจื•ืช ืืœืคื™ ืขื•ื‘ื“ื™ื. ืขื SQL ืื ื™ ื™ื›ื•ืœ ืœืงื‘ืœ ืจืง ื—ืœืง ืžื”ืชื•ืฆืื•ืช ื‘ืขื–ืจืช ื”ืคืงื•ื“ื” LIMIT:
select * from employees ORDER BY salary DESC, name ASC LIMIT 5;
ื•ื›ืš ืื ื™ ืžืงื‘ืœ ืืช 5 ื”ืฉื•ืจื•ืช ืฉืœ ื”ืขื•ื‘ื“ื™ื ืขื ื”ืžืฉื›ื•ืจืช ื”ื’ื‘ื•ื”ื” ื‘ื™ื•ืชืจ. ื‘ื ื•ืกืฃ ื”ืคืงื•ื“ื” OFFSET ืžืืคืฉืจืช ืœื”ืชื—ื™ืœ ืืช ื”ืชื•ืฆืื•ืช ืฉืžื•ื—ื–ืจื•ืช ืžืžืงื•ื ื ืžื•ืš ื™ื•ืชืจ ืœืžืฉืœ:
select * from employees ORDER BY salary DESC, name ASC LIMIT 5 OFFSET 5;
ื•ืงื™ื‘ืœืชื™ ืืช 5 ื”ืชื•ืฆืื•ืช "ื”ื‘ืื•ืช ื‘ืชื•ืจ". ืขื›ืฉื™ื• ืืชื 1. ื”ืฆื™ื’ื• ืืช ื›ืœ ื”ืฉื•ืจื•ืช ื‘ื˜ื‘ืœืช ื”ืขื•ื‘ื“ื™ื ืžืžื•ื™ื ื•ืช ืœืคื™ ื”ืžื—ืœืงื”, ื•ื‘ืชื•ืš ื›ืœ ืžื—ืœืงื” ืžื™ื•ืŸ ืžืฉื ื™ ืœืคื™ ื”ืžืฉื›ื•ืจืช. 2. ื”ืฆื™ื’ื• ืจืง ืืช 5 ื”ืฉื•ืจื•ืช ื”ืขืœื™ื•ื ื•ืช ืžืชื•ืš ื”ืชื•ืฆืื”.

ToCode
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INSERT INTO MythicalCreatures (creature_id, name, magical_power_level, habitat)
VALUES (1, 'Phoenix', 100, 'Volcanic Peaks');
INSERT INTO MythicalCreatures (creature_id, name, habitat)
VALUES (2, 'Dragon', 'Mystic Mountains');
INSERT INTO MythicalCreatures (creature_id, name, magical_power_level, habitat)
VALUES (3, 'Unicorn', 70, 'Enchanted Forest');
INSERT INTO MythicalCreatures (creature_id, name, habitat)
VALUES (4, 'Mermaid', 'Coral Reefs');
ืขื›ืฉื™ื• ืืชื 1. ื”ืฆื™ื’ื• ืืช ื›ืœ ื”ื ืชื•ื ื™ื ื‘ื˜ื‘ืœื” ืฉื™ืฆืจื ื• ื•ื•ื“ืื• ืฉืขืจืš ื‘ืจื™ืจืช ื”ืžื—ื“ืœ ื ืจืฉื ืœื›ืœ ื”ืฉื•ืจื•ืช ื‘ื”ืŸ ืœื ืจืฉืžื ื• ืขืจืš. 2. ื ืกื• ืœื”ื›ื ื™ืก ืฉื•ืจื” ื—ื“ืฉื” ืขื habitat ืฉื›ื‘ืจ ืงื™ื™ื ื‘ื˜ื‘ืœื”. ืžื” ื”ื•ื“ืขืช ื”ืฉื’ื™ืื” ืฉืงื™ื‘ืœืชื? 3. ื ืกื• ืœื”ื›ื ื™ืก ืฉื•ืจื” ืฉืœื ื›ื•ืœืœืช ืฉื ืœื™ืฆื•ืจ. ืžื” ื”ื•ื“ืขืช ื”ืฉื’ื™ืื” ืฉืงื™ื‘ืœืชื? 4. ื”ื›ื ื™ืกื• ืฉื•ืจื” ืขื ืขืจืš ืจื™ืง ืœืฉื“ื” habitat. ื•ืขื•ื“ ืื—ืช. ื•ืขื•ื“ ืื—ื“. ืฉื™ืžื• ืœื‘ ืฉืœืžืจื•ืช ืฉื”ื’ื“ืจื ื• ืืช ื”ืขืžื•ื“ื” ื‘ืชื•ืจ "ื™ื™ื—ื•ื“ื™ืช", ืื™ืŸ ื‘ืขื™ื” ืฉื™ื”ื™ื• ืขืจื›ื™ื ืจื™ืงื™ื ื•ืืฃ ื™ื•ืชืจ ืžืฉื•ืจื” ืื—ืช ืขื ืขืจืš ืจื™ืง.

ToCode
1 419
ืกื“ืจืช SQL ื‘ืกื™ืกื™ - ืคื•ืกื˜ 6 - ืกื•ื’ื™ ืžื™ื“ืข ื›ืŸ, ื™ืฉ ืœื ื• ื‘ืขื™ื” ืฉืœ ืชืื™ืžื•ืช. ื‘ืกื™ืกื™ ื ืชื•ื ื™ื ื ื›ืชื‘ื• ื›ื“ื™ ืœืขื‘ื•ื“ ืขื ื›ืžื•ืช ืžืื•ื“ ื’ื“ื•ืœื” ืฉืœ ืžื™ื“ืข ื•ืœื›ืŸ ื›ืœ ืจืžื– ืฉื”ื ื™ื›ื•ืœื™ื ืœืงื‘ืœ ืขืœ ืื™ื–ื” ืžื™ื“ืข ื™ื”ื™ื” ืฉืžื•ืจ ืื™ืคื” ื™ืขื–ื•ืจ ืœื”ื ืœื ื”ืœ ืืช ื”ืžื™ื“ืข ื˜ื•ื‘ ื™ื•ืชืจ, ืœื”ืฉืชืžืฉ ื‘ืคื—ื•ืช ืžืงื•ื ื•ืœืงื‘ืœ ื—ื–ืจื” ืืช ื”ืžื™ื“ืข ืžื”ืจ ื™ื•ืชืจ. ืžืกื™ื‘ื” ื–ืืช ื‘ืกื™ืกื™ ื ืชื•ื ื™ื ืžื‘ืงืฉื™ื ืžืื™ืชื ื• ื›ืฉืื ื—ื ื• ื™ื•ืฆืจื™ื ื˜ื‘ืœื” ืฉื ืกืคืจ ืœื”ื ืžื” ืื ื—ื ื• ื”ื•ืœื›ื™ื ืœืื—ืกืŸ ื‘ื›ืœ ืขืžื•ื“ื”. ื™ื—ื“ ืขื ื–ืืช ื”ื”ืชื ื”ื’ื•ืช ื”ืกืคืฆื™ืคื™ืช ืื™ื–ื” ืกื•ื’ื™ ืžื™ื“ืข ื ืชืžื›ื™ื ื•ืžื” ืขื•ืฉื™ื ื›ืฉืžืฉืชืžืฉื™ื ืžื ืกื™ื ืœืฉื™ื (ื‘ื˜ืขื•ืช ืื• ื‘ื›ื•ื•ื ื”) ืžื™ื“ืข ืžื”ืกื•ื’ ื”ืœื ื ื›ื•ืŸ ืฉื•ื ื” ืขื‘ื•ืจ ื›ืœ ื‘ืกื™ืก ื ืชื•ื ื™ื. ืกื•ื’ื™ ืžื™ื“ืข ื™ื—ืกื™ืช ื‘ื˜ื•ื—ื™ื ืœืฉื™ืžื•ืฉ (ื•ืื™ืคื” ืœื•ืžื“ื™ื ื™ื•ืชืจ) ื‘ืืชืจ: https://sqliteonline.com ืื ื—ื ื• ื™ื›ื•ืœื™ื ืœื”ืจื™ืฅ ืคืงื•ื“ื•ืช SQL ืขืœ ื›ืœ ืื—ื“ ืžื‘ืกื™ืกื™ ื”ื ืชื•ื ื™ื ื”ืคื•ืคื•ืœืจื™ื™ื. ื›ืฉืชืจืฆื• ืœืฉื—ืง ืขื ื˜ื‘ืœืื•ืช ื•ืกื•ื’ื™ ืžื™ื“ืข ื›ื“ื™ ืœืจืื•ืช ื‘ื“ื™ื•ืง ืื™ื–ื” ืฉืื™ืœืชื” ืขื•ื‘ื“ืช ืขืœ ืื™ื–ื” ื‘ืกื™ืก ื ืชื•ื ื™ื ืชื•ื›ืœื• ืœืขืฉื•ืช ืฉื ืืช ื›ืœ ื”ื ื™ืกื•ื™ื™ื. ืื ื™ ืืจืื” ืคื” ืืช ืกื•ื’ื™ ื”ื ืชื•ื ื™ื ื”ืžืจื›ื–ื™ื™ื ืฉื ืชืžื›ื™ื ื‘ื›ืœ ื‘ืกื™ืกื™ ื”ื ืชื•ื ื™ื, ื’ื ื›ื“ื™ ืฉื™ื”ื™ื” ืœื ื• ืงืœ ื‘ืงื•ืจืก ื•ื’ื ื›ื“ื™ ืฉื™ื”ื™ื” ืœื›ื ืงืœ ืœืขื‘ื•ืจ ื‘ื”ืžืฉืš ืœื‘ืกื™ืกื™ ื ืชื•ื ื™ื ืื—ืจื™ื. ืืœื” ืกื•ื’ื™ ื”ืžื™ื“ืข ื‘ื”ื ื™ื—ืกื™ืช ื‘ื˜ื•ื— ืœื”ืฉืชืžืฉ. ื‘ SQL ืื™ืŸ ื—ืฉื™ื‘ื•ืช ืœืื•ืชื™ื•ืช ืงื˜ื ื•ืช ืื• ื’ื“ื•ืœื•ืช: 1. ืžืกืคืจ ืฉืœื INTEGER (ื ืงืจื ื’ื INT). ืกื•ื’ ืžื™ื“ืข Integer ื ื•ืขื“ ืœืขืžื•ื“ื” ืฉืžื—ื–ื™ืงื” ืžืกืคืจ ืฉืœื ื›ืžื• 2, 10 ืื• 50. ื”ืขืจืš ื‘ืขืžื•ื“ื” ื”ื•ื ื‘ื™ืŸ -2,147,483,648 ืœ 2,147,483,647. 2. ืžื—ืจื•ื–ืช ืงืฆืจื” VARCHAR. ืกื•ื’ ืžื™ื“ืข ืฉื ื™ ื ื•ืขื“ ืœื™ื™ืฆื•ื’ ื˜ืงืกื˜ื™ื. ื‘ื“ืจืš ื›ืœืœ ื ืขื‘ื™ืจ ื‘ืกื•ื’ืจื™ื™ื ืืช ืื•ืจืš ื”ื˜ืงืกื˜ ื”ืžืงืกื™ืžืœื™ ืฉื ืจืฆื” ืœืฉืžื•ืจ ื‘ืขืžื•ื“ื”. 3. ืชืืจื™ืš DATE. ืกื•ื’ ืžื™ื“ืข ืฉื ื•ืขื“ ืœืฉืžื•ืจ ืชืืจื™ืš (ืžื™ื“ืข ื–ื” ืœื ื›ื•ืœืœ ื–ืžืŸ. ื‘ืกื™ืกื™ ื ืชื•ื ื™ื ืฉื•ื ื™ื ื›ื•ืœืœื™ื ื”ื’ื“ืจื•ืช ื™ื•ืชืจ ืกืคืฆื™ืคื™ื•ืช ื›ืžื• TIMESTAMP ืื• DATETIME ื›ื“ื™ ืœื”ื•ืกื™ืฃ ืืช ื”ื–ืžืŸ). 4. ืžืกืคืจ ืขื ื ืงื•ื“ื” ืขืฉืจื•ื ื™ืช FLOAT. ืฉื•ืžืจ ืขืจื›ื™ื ืขื ืฉื‘ืจ ืœืžืฉืœ 2.5. 5. ื˜ืงืกื˜ TEXT. ืฉื•ืžืจ ื˜ืงืกื˜ื™ื ืœืœื ื”ื’ื‘ืœืช ืื•ืจืš. ื ืฉื™ื ืœื‘ ืฉ SQLite ื”ื•ื ืžื™ื•ื—ื“ ื‘ื›ืš ืฉืื™ืŸ ืœื• ื‘ืืžืช ืžืขืจื›ืช ื˜ื™ืคื•ืกื™ื. ื›ืฉืื ื—ื ื• ืžื’ื“ื™ืจื™ื ื˜ื™ืคื•ืก ื ืชื•ื ื™ื ืœืขืžื•ื“ื” ืžืกื•ื™ืžืช ืขื“ื™ื™ืŸ ื ื•ื›ืœ ืœื”ื›ื ื™ืก ืขืจื›ื™ื ืฉื•ื ื™ื ืœืชื•ืš ืื•ืชื” ืขืžื•ื“ื”. ื‘ืฉื‘ื™ืœ ืฉื ืจืื” ืื™ืš ืžืชื ื”ื’ ื‘ืกื™ืก ื ืชื•ื ื™ื ืฉื›ืŸ ืžื‘ื“ื™ืœ ื‘ื™ืŸ ื˜ื™ืคื•ืกื™ื ื ื•ื›ืœ ืœื”ื™ื›ื ืก ืœืืชืจ: https://sqliteonline.com ืฉื‘ื ื™ื’ื•ื“ ืœืฉืžื• ื“ื•ื•ืงื ื›ื•ืœืœ ืกื‘ื™ื‘ื•ืช ืขื‘ื•ื“ื” ืœื›ืœ ื‘ืกื™ืกื™ ื”ื ืชื•ื ื™ื ื”ืžืจื›ื–ื™ื™ื. ืื ื™ ืœื•ื—ืฅ ืฉื ืขืœ PostgreSQL ื•ืžืจื™ืฅ ืืช ื”ืคืงื•ื“ื” ื”ื‘ืื”:
CREATE TABLE coffee_orders (
    order_id SERIAL PRIMARY KEY,
    customer_name TEXT,
    coffee_typ
    
INSERT INTO coffee_orders (customer_name, coffee_type, price, order_timestamp)
VALUES 
    ('Alice Johnson', 'Caramel Macchiato', 4.75, '2024-02-10 08:30:00+00'),
    ('Bob Smith', 'Espresso Double Shot', 3.25, '2024-02-10 09:15:00+00'),
    ('Charlie Brown', 'Pumpkin Spice Latte', 5.50, '2024-02-10 10:00:00+00');
ืขื›ืฉื™ื• ื‘ื•ืื• ื ืจืื” ืžื” ืงื•ืจื” ื›ืฉืื ื™ ืžื ืกื” ืœื”ื•ืกื™ืฃ ืœื‘ืกื™ืก ื ืชื•ื ื™ื ืฉื•ืจื” ืฉืœื ืžืชืื™ืžื” ืœืกื•ื’ื™ ื”ืžื™ื“ืข ืฉื”ื’ื“ืจืชื™:
INSERT INTO coffee_orders (customer_name, coffee_type, price, order_timestamp)
VALUES (8, 'Caramel Macchiato', 4.75, '2024-02-10 08:30:00+00')
ื•ื–ื” ืขื‘ื“! ืœื‘ืกื™ืก ื”ื ืชื•ื ื™ื ืœื ื”ื™ืชื” ื‘ืขื™ื” ืœืฉืžื•ืจ ืžืกืคืจ ื‘ืชื•ืจ ืžื—ืจื•ื–ืช. ืขื›ืฉื™ื• ื ื ืกื” ื“ื•ื’ืžื” ื ื•ืกืคืช:
INSERT INTO coffee_orders (customer_name, coffee_type, price, order_timestamp)
VALUES (8, 'Caramel Macchiato', 'expensive', '2024-02-10 08:30:00+00')
ื”ืคืขื ื›ื‘ืจ ืงื™ื‘ืœืชื™ ืฉื’ื™ืื”:
 Error 22P02 invalid input syntax for type double precision: "expensive"
ื ืฉื™ื ืœื‘ ืฉื›ืœ ื‘ืกื™ืก ื ืชื•ื ื™ื ืžื˜ืคืœ ืื—ืจืช ื‘ืกื•ื’ื™ ื”ืžื™ื“ืข ื•ื‘ืฉื’ื™ืื•ืช ืฉื ื•ื‘ืขื•ืช ืžื”ื›ื ืกืช ืžื™ื“ืข ืœื ืžืชืื™ื, ื•ืœื›ืŸ ื ืฉืชื“ืœ ืชืžื™ื“ ืœื”ื›ื ื™ืก ืืช ื”ืžื™ื“ืข ื‘ืฆื•ืจื” ื ื›ื•ื ื” ื•ื’ื ื ื‘ื“ื•ืง ืืช ืขืฆืžื ื• ื›ืœ ืคืขื ืฉืื ื—ื ื• ืขื•ื‘ืจื™ื ืœื‘ืกื™ืก ื ืชื•ื ื™ื ืžืกื•ื’ ืื—ืจ. ื”ื’ื“ืจื•ืช ื ื•ืกืคื•ืช ืœืขืžื•ื“ื•ืช ืื—ืจื™ ืกื•ื’ ื”ืžื™ื“ืข ืื ื—ื ื• ื™ื›ื•ืœื™ื ืœื”ื•ืกื™ืฃ ืขื•ื“ ื›ืžื” ืžื™ืœื™ื ืฉื™ืขื–ืจื• ืœื‘ืกื™ืก ื”ื ืชื•ื ื™ื ืœื”ืชืžื•ื“ื“ ืขื ืคืงื•ื“ื•ืช ื”ื›ื ืกื” ืœื ืžืœืื•ืช ืื• ืœื ืžื“ื•ื™ืงื•ืช: 1. ื”ื”ื’ื“ืจื” NOT NULL ืื—ืจื™ ืกื•ื’ ื”ืžื™ื“ืข ืื•ืžืจืช ืฉื‘ื›ืœ ื”ื›ื ืกื” ื—ื™ื™ื‘ื™ื ืœื”ืขื‘ื™ืจ ืขืจืš ืœืขืžื•ื“ื” ื–ื•. 2. ื”ื”ื’ื“ืจื” UNIQUE ืื•ืžืจืช ืฉื”ืขืจืš ื‘ืขืžื•ื“ื” ื–ื• ื—ื™ื™ื‘ ืœื”ื™ื•ืช ื™ื™ื—ื•ื“ื™ ืœื›ืœ ืฉื•ืจื”. 3. ื”ื”ื’ื“ืจื” DEFAULT ืžื’ื“ื™ืจื” ืขืจืš ื‘ืจื™ืจืช ืžื—ื“ืœ ืœืขืžื•ื“ื”. ื‘ื•ืื• ื ืจืื” ื“ื•ื’ืžื” ื”ืคืขื ื—ื–ืจื” ืœ SQLite. ืื ื™ ื™ื•ืฆืจ ืืช ื”ื˜ื‘ืœื”:
CREATE TABLE MythicalCreatures (
    creature_id INTEGER PRIMARY KEY,      -- Primary key
    name TEXT NOT NULL,                   -- Creature name, cannot be NULL
    magical_power_level INTEGER DEFAULT 50, -- Default power level
    habitat TEXT UNIQUE                    -- Unique habitat for each creature
);

ToCode
1 419
INSERT INTO space_missions (crew_size)
VALUES (50);
ืื ื™ ืžืคืขื™ืœ ืคืงื•ื“ืช SELECT ื›ื“ื™ ืœื‘ื“ื•ืง ืžื” ืงื™ื‘ืœืชื™:
SELECT * FROM space_missions;
ื•ืฉื™ืžื• ืœื‘ ืœืฉื•ืจื” ื”ืื—ืจื•ื ื” ื‘ืจืฉื™ืžืช ื”ืชื•ืฆืื•ืช: 1. ืœืฉื•ืจื” ื–ื• ื™ืฉ id ื™ื™ื—ื•ื“ื™, ืฉื”ื•ื ืžืกืคืจ ืื—ื“ ื’ื“ื•ืœ ื™ื•ืชืจ ืžื” id ืฉืœ ื”ืฉื•ืจื” ืฉืœืคื ื™ื”. ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ื‘ืื•ืคืŸ ืื•ื˜ื•ืžื˜ื™ ื™ื•ื“ืข ืฉืื ื™ ืฆืจื™ืš ืžื–ื”ื” ื™ื™ื—ื•ื“ื™ ืœื›ืœ ืฉื•ืจื” ื•ืœื›ืŸ ื™ืฆืจ ื‘ืขืฆืžื• ืืช ื”ืขืจืš. ืžื›ืืŸ ืื ื™ ืœื•ืžื“ ืฉื‘ืื•ืคืŸ ื›ืœืœื™ ื›ืฉืื ื™ ืžื›ื ื™ืก ื ืชื•ื ื™ื ื—ื“ืฉื™ื ืœื‘ืกื™ืก ื”ื ืชื•ื ื™ื ืื™ืŸ ืฆื•ืจืš ืœืฆื™ื™ืŸ id ืœืฉื•ืจื”. 2. ื”ืขืžื•ื“ื•ืช mission_name ื• tagline ื ืฉืืจื• ืจื™ืงื•ืช. ื‘ืื•ืคืŸ ื›ืœืœื™ ื‘ื™ืฆื™ืจืช ื”ื˜ื‘ืœื” ืœื ื”ื’ื“ืจืชื™ ืฉื•ื ืžื’ื‘ืœื” ืขืœ ืขืžื•ื“ื•ืช ืืœื” ื•ืœื›ืŸ ืœื‘ืกื™ืก ื”ื ืชื•ื ื™ื ืื™ืŸ ื‘ืขื™ื” ืœื”ืฉืื™ืจ ืื•ืชืŸ ื‘ืœื™ ืขืจืš. ื‘ืฉื™ืขื•ืจ ื”ื‘ื ื ืœืžื“ ื™ื•ืชืจ ืขืœ ืกื•ื’ื™ ื”ืžื™ื“ืข ื•ื ืจืื” ื’ื ืื™ืš ืžื’ื“ื™ืจื™ื ืžื’ื‘ืœื•ืช ืขืœ ืขืžื•ื“ื•ืช ืžืกื•ื™ืžื•ืช. ื”ื•ื“ืขืช ืฉื’ื™ืื” ืื—ืจื•ื ื” ืฉืื ื—ื ื• ืขืฉื•ื™ื™ื ืœืคื’ื•ืฉ ืชื’ื™ืข ืžื”ืคืขืœืช ื”ืคืงื•ื“ื”:
INSERT INTO space_missions (mission_name, crew_size, tagline)
VALUES ("Mars 2020", 0, 'Seeking signs of ancient life and collecting rock and soil samples');
ืฉื™ืžื• ืœื‘ ืฉื•ื•ื™ืชืจืชื™ ืขืœ ื” id, ืื‘ืœ ืืช ืฉื ื”ืžืฉื™ืžื” ื›ืชื‘ืชื™ ื‘ืชื•ืš ืžืจื›ืื•ืช ื›ืคื•ืœื•ืช ื•ืœื ื‘ืชื•ืš ื’ืจืฉ ื‘ื•ื“ื“. ืชื’ื•ื‘ืช ื‘ืกื™ืก ื”ื ืชื•ื ื™ื:
SQLite3Error: SQLITE_ERROR: sqlite3 result code 1: no such column: Mars 2020
ื›ืฉืื ื—ื ื• ื›ื•ืชื‘ื™ื ื˜ืงืกื˜ ื‘ืชื•ืš ืžืจื›ืื•ืช ื›ืคื•ืœื•ืช ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ื—ื•ืฉื‘ ืฉืื ื—ื ื• ืžืชื™ื—ืกื™ื ืœืฉื ืขืžื•ื“ื”, ื•ื‘ืžืงืจื” ื”ื–ื” ื”ืขืžื•ื“ื” ืœื ืงื™ื™ืžืช ื•ืœื›ืŸ ื”ื•ืคื™ืขื” ื”ื•ื“ืขืช ื”ืฉื’ื™ืื”. ื‘ื“ืจืš ื›ืœืœ ื›ืฉืžืงื‘ืœื™ื ื›ื–ืืช ื”ื•ื“ืขืช ืฉื’ื™ืื” ื–ื” ืื•ืžืจ ืฉื”ืชื‘ืœื‘ืœื ื• ื‘ื™ืŸ ื’ืจืฉ ื‘ื•ื“ื“ ืœื‘ื™ืŸ ืžืจื›ืื•ืช. ืžื” ืœื’ื‘ื™ ื˜ืขื•ื™ื•ืช ื‘ืกื•ื’ื™ ื”ื ืชื•ื ื™ื? ื‘ื‘ืกื™ืก ื ืชื•ื ื™ื SQLite ืืคืฉืจ ืœื”ื›ื ื™ืก ืžื—ืจื•ื–ื•ืช ืœืขืžื•ื“ื•ืช ืฉืœ ืžืกืคืจื™ื ื•ืœื”ื™ืคืš (ื ืกื• ืืช ื–ื”). ืจื•ื‘ ื‘ืกื™ืกื™ ื”ื ืชื•ื ื™ื ืœื ื™ืืคืฉืจื• ืœื›ื ืœืฉืžื•ืจ ืžื™ื“ืข ืžืกืคืจื™ ื‘ืขืžื•ื“ื” ืžืกื•ื’ ื˜ืงืกื˜ ืื• ืžื™ื“ืข ื˜ืงืกื˜ื•ืืœื™ ื‘ืขืžื•ื“ืช ืžืกืคืจื™ื.

ToCode
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ืกื“ืจืช SQL ื‘ืกื™ืกื™ - ืคื•ืกื˜ 5 - ื”ื›ื ืกืช ืžื™ื“ืข ื™ืฆื™ืจืช ื˜ื‘ืœื” ื—ื“ืฉื” ื‘ืฉื‘ื™ืœ ืœื”ื›ื ื™ืก ืžื™ื“ืข ืื ื™ ืืฉืžื— ืœื™ืฆื•ืจ ื˜ื‘ืœื” ื—ื“ืฉื” ื‘ื‘ืกื™ืก ื”ื ืชื•ื ื™ื. ืื ื™ ืžืคืขื™ืœ ืืช ื”ืคืงื•ื“ื” ื”ื‘ืื”:
CREATE TABLE space_missions (
    id SMALLINT PRIMARY KEY,
    mission_name VARCHAR(200),
    crew_size SMALLINT,
    tagline VARCHAR(500)
);
ื‘ื“ื•ื’ืžื” ื”ืคืขื ืื ื—ื ื• ื™ื•ืฆืื™ื ืœืžืฉื™ืžื” ื‘ื—ืœืœ! ื›ืœ ืฉื•ืจื” ืชื™ื™ืฆื’ ืžืฉื™ืžื” ื•ื”ืขืžื•ื“ื•ืช ืฉืœื ื• ื™ื”ื™ื• ืฉื ื”ืžืฉื™ืžื”, ื’ื•ื“ืœ ื”ืฆื•ื•ืช ื•ื”ืื ื”ืžืฉื™ืžื” ื›ืจื’ืข ืคืขื™ืœื”. ื‘ืฉื™ืขื•ืจื™ื ื”ื‘ืื™ื ื ื“ื‘ืจ ื™ื•ืชืจ ื‘ืืจื™ื›ื•ืช ืขืœ ื™ืฆื™ืจืช ื”ื˜ื‘ืœื” ืื‘ืœ ื‘ื™ื ืชื™ื™ื ื›ืžื” ื“ื‘ืจื™ื ืฉื›ื“ืื™ ืœืฉื™ื ืœื‘: 1. ืคืงื•ื“ืช ื™ืฆื™ืจืช ื”ื˜ื‘ืœื” ืžื’ื“ื™ืจื” ืืช ื”ืขืžื•ื“ื•ืช, ื•ื‘ื ื•ืกืฃ ืœื›ืœ ืขืžื•ื“ื” ื”ื™ื ืžื’ื“ื™ืจื” ืืช ืกื•ื’ ื”ืžื™ื“ืข ืฉื™ื™ืฉืžืจ ื‘ืขืžื•ื“ื” ื–ื•. ื’ื•ื“ืœ ืฆื•ื•ืช ืœืžืฉืœ ื”ื™ื ืขืžื•ื“ื” ืžืกืคืจื™ืช. 2. ืœืคืขืžื™ื ืกื•ื’ื™ ืžื™ื“ืข ืžืงื‘ืœื™ื ืคืจืžื˜ืจื™ื, ืœืžืฉืœ ืกื•ื’ ืžื™ื“ืข VARCHAR ืื•ืžืจ ืฉื”ืขืžื•ื“ื” ืžื›ื™ืœื” ื˜ืงืกื˜. ื”ืคืจืžื˜ืจ ื”ืžืกืคืจื™ ืฉืžื•ืคื™ืข ื‘ืกื•ื’ืจื™ื™ื ืžื’ื“ื™ืจ ืืช ื”ื’ื•ื“ืœ ื”ืžืงืกื™ืžืœื™ ืฉืœ ื˜ืงืกื˜ ืฉืืคืฉืจ ืœืจืฉื•ื ื‘ืขืžื•ื“ื” ื–ื•. ืื ื ื›ืชื•ื‘ ืžืกืคืจ ืงื˜ืŸ ืžื“ื™ ืื ื—ื ื• ืขืœื•ืœื™ื ืœื”ื™ืชืงืข ื›ืฉื ืฆื˜ืจืš ื™ื•ืชืจ ืžืงื•ื, ืื‘ืœ ืื ื ื›ืชื•ื‘ ืžืกืคืจ ื’ื“ื•ืœ ืžื“ื™ ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ื™ืฆื˜ืจืš ืœืฉืจื™ื™ืŸ ื”ืจื‘ื” ืžืงื•ื ืฉืื•ืœื™ ืœื ื™ืฉืชืžืฉ ื‘ื•. 3. ื›ืžืขื˜ ื›ืœ ื˜ื‘ืœื” ืฉื ื™ืฆื•ืจ ืชื›ื™ืœ ืขืžื•ื“ื” ื‘ืฉื id, ืฉื”ื™ื ืขืžื•ื“ื” ืžืกืคืจื™ืช ืฉื•ื ื” ืขื‘ื•ืจ ื›ืœ ืฉื•ืจื”. ืขืžื•ื“ื” ื–ื• ืชืขื–ื•ืจ ืœื ื• ื›ืฉื ืจืฆื” ืœื“ื‘ืจ ืขืœ ื”ืžื™ื“ืข ื‘ืฉื•ืจื” ื–ืืช ืื• ืœืงืฉืจ ืืช ื”ืฉื•ืจื” ืœืžื™ื“ืข ื ื•ืกืฃ ืฉืฉืžื•ืจ ืขืœื™ื” ื‘ื˜ื‘ืœืื•ืช ืื—ืจื•ืช. ื‘ืฉื™ืขื•ืจ ื”ื‘ื ื ื“ื‘ืจ ื™ื•ืชืจ ื‘ืคื™ืจื•ื˜ ืขืœ ืกื•ื’ื™ ื”ืžื™ื“ืข ืฉืืคืฉืจ ืœืฉืžื•ืจ ื‘ืขืžื•ื“ื•ืช. ื›ืจื’ืข ื ืกืชืคืง ื‘ื”ืจืฆืช ื”ืคืงื•ื“ื”. ื•ื•ื“ืื• ืฉื”ื˜ื‘ืœื” ื ื•ืฆืจื” ื‘ืืžืฆืขื•ืช ืœื—ื™ืฆื” ืขืœ ื›ืคืชื•ืจ tables ื•ืื ื”ื›ืœ ืขื‘ืจ ื›ืžื• ืฉืฆืจื™ืš ื ื•ื›ืœ ืœื”ืžืฉื™ืš ืœื”ื›ื ืกืช ื”ื ืชื•ื ื™ื. ืื ื”ื™ื• ืœื›ื ื‘ืขื™ื•ืช ื‘ื™ืฆื™ืจืช ื”ื˜ื‘ืœื” ื‘ืกื‘ื™ื‘ืช ื”ืชืจื’ื•ืœ ืฉืœ SQLime ืชืžื™ื“ ืืคืฉืจ ืœืžื—ื•ืง ืืช ื›ืœ ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ื•ืœื”ืชื—ื™ืœ ืžื—ื“ืฉ ื‘ืืžืฆืขื•ืช ืœื—ื™ืฆื” ืขืœ ื”ืœื™ืžื•ืŸ ื‘ืฆื“ ืฉืžืืœ ืœืžืขืœื” ืฉืœ ื”ืžืกืš. ื”ื›ื ืกืช ื ืชื•ื ื™ื ื”ื“ื‘ื™ืงื• ืืช ื”ืคืงื•ื“ื•ืช ื”ื‘ืื•ืช ื›ื‘ืœื•ืง ืื—ื“ ืœืชื™ื‘ืช ื” SQL ื‘ SQLime ืื—ืจื™ ื™ืฆื™ืจืช ื”ื˜ื‘ืœื” ื•ื”ืจื™ืฆื•:
INSERT INTO space_missions (id, mission_name, crew_size, tagline)
VALUES (1, 'Apollo 11', 3, 'One small step for man, one giant leap for mankind');

INSERT INTO space_missions (id, mission_name, crew_size, tagline)
VALUES (2, 'SpaceX Crew-1', 4, 'A new era of human spaceflight');

INSERT INTO space_missions (id, mission_name, crew_size, tagline)
VALUES (3, 'Mars 2020', 0, 'Seeking signs of ancient life and collecting rock and soil samples');
ื”ืคืงื•ื“ื•ืช ื”ืŸ ืคืงื•ื“ื•ืช ื”ื›ื ืกืช ื ืชื•ื ื™ื. ื”ืคื•ืจืžื˜ ื”ื•ื: 1. ืžืชื—ื™ืœื™ื ื‘ืžื™ืœื™ื INSERT INTO ื•ืื—ืจื™ื”ืŸ ืฉื ื”ื˜ื‘ืœื” ืืœื™ื” ืจื•ืฆื™ื ืœื›ืชื•ื‘ ื ืชื•ื ื™ื. 2. ืื—ืจื™ ืฉื ื”ื˜ื‘ืœื” ืคื•ืชื—ื™ื ืกื•ื’ืจื™ื™ื ื•ื‘ืชื•ื›ื ื›ื•ืชื‘ื™ื ืืช ืฉืžื•ืช ื”ืขืžื•ื“ื•ืช ืืœื™ื”ืŸ ื ื›ืชื•ื‘ ืืช ื”ื ืชื•ื ื™ื. 3. ืื—ืจื™ ื”ืกื•ื’ืจื™ื™ื ื ื›ืชื•ื‘ ืืช ื”ืžื™ืœื” VALUES ื•ืื—ืจื™ื” ืขื•ื“ ื–ื•ื’ ืกื•ื’ืจื™ื™ื ื•ื‘ืชื•ื›ื ื”ืขืจื›ื™ื. ื™ืฉ ืœืจืฉื•ื ืืช ื”ืขืจื›ื™ื ื‘ืื•ืชื• ืกื“ืจ ื‘ื• ืจืฉืžื ื• ืืช ืฉืžื•ืช ื”ืขืžื•ื“ื•ืช. ื”ื›ื ืกืช ืžืกืคืจ ืฉื•ืจื•ืช ื‘ืคืงื•ื“ื” ืื—ืช ืคืงื•ื“ืช INSERT ืชื•ืžื›ืช ื’ื ื‘ื”ื›ื ืกืช ืžืกืคืจ ืฉื•ืจื•ืช ื‘ืคืงื•ื“ื” ืื—ืช. ื”ืคืขื™ืœื• ืืช ื”ืคืงื•ื“ื” ื”ื‘ืื”:
INSERT INTO space_missions (id, mission_name, crew_size, tagline)
VALUES 
    (4, 'Artemis III', 4, 'Returning humans to the Moon'),
    (5, 'ExoMars', 0, 'Searching for signs of past life on Mars'),
    (6, 'Voyager 3', 0, 'Exploring the outer Solar System and beyond');
ื ืฉื™ื ืœื‘ ืฉืื—ืจื™ ื”ืžื™ืœื” VALUES ืื ื—ื ื• ืจื•ืื™ื ืžืกืคืจ ืงื‘ื•ืฆื•ืช ืฉืœ ืขืจื›ื™ื, ื›ืœ ืงื‘ื•ืฆื” ื‘ืกื•ื’ืจื™ื™ื ืžืฉืœื” ืžื•ืคืจื“ื•ืช ื‘ืกื™ืžืŸ ืคืกื™ืง. ืงืจื™ืืช ื”ื ืชื•ื ื™ื ืฉื”ื›ื ืกื ื• ื‘ื•ืื• ื ื•ื•ื“ื ืฉื”ื”ื›ื ืกื” ื”ืฆืœื™ื—ื”. ื”ืคืขื™ืœื• ืืช ื”ืคืงื•ื“ื”:
SELECT * FROM space_missions;
ืื ื—ื ื• ืจื•ืื™ื ืืช ื›ืœ ื”ืžืฉื™ืžื•ืช ืฉื™ืฆืจื ื• ืžืกื•ื“ืจื•ืช ื‘ืกื“ืจ ืขื•ืœื” ืœืคื™ ื” id. ื‘ื•ืื• ื ื‘ืขื˜ ื‘ื–ื” ืงืฆืช ืœืคื ื™ ืฉื ื™ืคืจื“ ืž INSERT ืื ื™ ืจื•ืฆื” ืœื”ืจืื•ืช ื›ืžื” ื“ื‘ืจื™ื ืฉื™ื›ื•ืœื™ื ืœื”ื™ืฉื‘ืจ ื›ืฉืืชื ื›ื•ืชื‘ื™ื ืืช ื”ื“ื•ื’ืžืื•ืช ื”ืืœื” ืขืœ ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ืฉืœื›ื ื•ืืช ื”ื•ื“ืขื•ืช ื”ืฉื’ื™ืื” ื”ืžืชืื™ืžื•ืช. ื ืชื—ื™ืœ ืขื ื”ืคืงื•ื“ื”:
INSERT INTO space_missions (id, mission_name, crew_size, tagline)
VALUES (1, 'Mars 2020', 0, 'Seeking signs of ancient life and collecting rock and soil samples');
ื‘ืคืงื•ื“ื” ื–ื• ืื ื™ ืžื ืกื” ืœื”ื›ื ื™ืก ืฉื•ืจื” ื ื•ืกืคืช ืฉื” id ืฉืœื” ื”ื•ื 1. ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ืขื•ื ื” ืœื™ ื‘ื”ื•ื“ืขืช ื”ืฉื’ื™ืื”:
SQLite3Error: SQLITE_CONSTRAINT_PRIMARYKEY: sqlite3 result code 1555: UNIQUE constraint failed: space_missions.id
ืœืžื“ื ื• ืฉ id ื”ื•ื ืžื–ื”ื” ื™ื™ื—ื•ื“ื™ ืฉืœ ืฉื•ืจื”, ื•ืœื›ืŸ ืœื ื ื™ืชืŸ ืœื”ื›ื ื™ืก ืœื˜ื‘ืœื” ืฉืชื™ ืฉื•ืจื•ืช ืขื ืื•ืชื• ืขืจืš ืฉืœ id. ืขืžื•ื“ืช id ืžื•ื’ื“ืจืช ื‘ืชื•ืจ ืžื–ื”ื” ื™ื™ื—ื•ื“ื™ ืœืฉื•ืจื” ื‘ื’ืœืœ ืฉื‘ื™ืฆื™ืจืช ื”ื˜ื‘ืœื” ื›ืชื‘ืชื™ ืืช ื”ืžื™ืœื™ื PRIMARY KEY ืื—ืจื™ ืฉื ื”ืขืžื•ื“ื”. ื ื ืกื” ืขื•ื“ ืื—ื“, ื”ืคืขื ื ืจืื” ืžื” ืงื•ืจื” ื›ืฉืื ื™ ืœื ื›ื•ืชื‘ ืืช ื›ืœ ื”ืขืจื›ื™ื ื‘ืคืงื•ื“ืช ื” INSERT. ื”ืคืขื™ืœื• ืืช ื”ืคืงื•ื“ื”:

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ืกื“ืจืช SQL ื‘ืกื™ืกื™ - ืคื•ืกื˜ 4 - ื‘ืกื™ืก ื ืชื•ื ื™ื ืจืœืฆื™ื•ื ื™ ืจืื™ื ื• ื‘ืชืจื’ื™ืœ ืฉื‘ืขื–ืจืช ื˜ื‘ืœืื•ืช ื•ืืงืกืœ ืื ื—ื ื• ื™ื›ื•ืœื™ื ืœื’ืœื•ืช ืคืจื˜ื™ื ื—ื“ืฉื™ื ืขืœ ื”ืžื™ื“ืข ืฉืœื ื•, ืื‘ืœ ื‘ืื•ืชื• ื–ืžืŸ ืจืื™ื ื• ื’ื ืฉื–ื” ืœื ืชืžื™ื“ ืคืฉื•ื˜. ืื ื—ื ื• ื’ื ื™ื›ื•ืœื™ื ืœื“ืžื™ื™ืŸ ืฉืื ื”ื™ื” ืขืœื™ื ื• ืœืขื‘ื•ื“ ืขื ืžืกืคืจ ื˜ื‘ืœืื•ืช ื‘ืžืงื‘ื™ืœ ื”ื—ื™ืคื•ืฉ ื‘ืืงืกืœ ื”ื™ื” ื”ื•ืคืš ืœื”ืจื‘ื” ื™ื•ืชืจ ืžืกื•ื‘ืš. ืงืฆืช ืชื™ืื•ืจื™ื” ื‘ืกื™ืก ื ืชื•ื ื™ื ืจืœืฆื™ื•ื ื™ ื”ื•ื ืฉื ื’ื ืจื™ ืœืงื‘ื•ืฆืช ืชื•ื›ื ื•ืช ืฉืชืคืงื™ื“ืŸ ืœื ื”ืœ ื ืชื•ื ื™ื ื‘ืฆื•ืจื” ืฉืœ ื˜ื‘ืœืื•ืช ื•ืงืฉืจ ื‘ื™ืŸ ื˜ื‘ืœืื•ืช. ื‘ืกื™ืกื™ ื”ื ืชื•ื ื™ื ื”ืจืœืฆื™ื•ื ื™ื™ื ื”ืžืคื•ืจืกืžื™ื ื‘ื™ื•ืชืจ ื”ื: Oracle, PostgreSQL, MySQL, MS SQL Server ืื‘ืœ ื™ืฉ ืขื•ื“ ื”ืžื•ืŸ. ืื ื—ื ื• ื ืขื‘ื•ื“ ื‘ืงื•ืจืก ืขื ื‘ืกื™ืก ื ืชื•ื ื™ื ืจืœืฆื™ื•ื ื™ ืงื˜ืŸ ื‘ืฉื SQLite, ืฉื”ื›ื— ืฉืœื• ื”ื•ื ื‘ื“ื™ื•ืง ื–ื” ืฉื”ื•ื ืžืื•ื“ ืงื˜ืŸ - ื”ื•ื ืื™ื ื• ื“ื•ืจืฉ ื”ืชืงื ื•ืช ืื• ืฉืจืชื™ื ื—ื–ืงื™ื ื•ืœื›ืŸ ื ื•ื›ืœ ืœืขื‘ื•ื“ ืื™ืชื• ืื•ื ืœื™ื™ืŸ. ื”ืฉืคื” ื‘ื” ื‘ืกื™ืก ื ืชื•ื ื™ื ืจืœืฆื™ื•ื ื™ ืžื“ื‘ืจ ื ืงืจืืช SQL. ืฉืคื” ื–ื• ืคื•ืชื—ื” ื‘ืžืงื•ืจ ื‘ IBM ื‘ืฉื ื•ืช ื” 70 ื•ื”ืคื›ื” ืœืชืงืŸ ื‘ืฉื Database Language SQL, ื›ืฉื”ื’ื™ืจืกื” ื”ื—ื“ืฉื” ื‘ื™ื•ืชืจ ืฉืœ ื”ืชืงืŸ ื ื›ื•ืŸ ืœื›ืชื™ื‘ืช ืงื•ืจืก ื–ื” ืคื•ืจืกืžื” ื‘ 2023. ื›ืœ ื‘ืกื™ืกื™ ื”ื ืชื•ื ื™ื ืžื“ื‘ืจื™ื SQL ืœืคื™ ื”ืชืงืŸ (ืœืคื—ื•ืช ืžืฉืชื“ืœื™ื). ืขื“ื™ื™ืŸ ืงื™ื™ืžื™ื ื”ื‘ื“ืœื™ื ื’ื“ื•ืœื™ื ื‘ื™ืŸ ื‘ืกื™ืกื™ ื”ื ืชื•ื ื™ื ื‘ืขื™ืงืจ ื‘ืžื ื’ื ื•ื ื™ ื”ื ื™ื”ื•ืœ ืฉืœื”ื, ืื™ืš ื”ื ืฉื•ืžืจื™ื ืืช ื”ื ืชื•ื ื™ื, ืื™ืš ืžืฉืคืจื™ื ืืช ืžื”ื™ืจื•ืช ืฉืœื™ืคืช ื”ื ืชื•ื ื™ื, ืื™ืš ืœื’ื‘ื•ืช ืื•ืชื, ืžื” ื—ื•ื–ืง ื”ืฉืจืชื™ื ืฉื”ื ืฆืจื™ื›ื™ื ื›ื“ื™ ืœืขื‘ื•ื“ ื˜ื•ื‘ ื•ืขื•ื“ ื”ืžื•ืŸ ืคืจืžื˜ืจื™ื ืฉื‘ืงื•ืจืก ื–ื” ืœื ื™ืขื ื™ื™ื ื• ืื•ืชื ื•. ืื ื—ื ื• ื ืชืžืงื“ ื‘ SQL ื•ื‘ืคืจื˜ ื‘ืื•ืชื• ื—ืœืง ืฉืœ SQL ืฉืžื•ื’ื“ืจ ื‘ืชืงืŸ ื•ืžืฉื•ืชืฃ ืœื›ืœ ื‘ืกื™ืกื™ ื”ื ืชื•ื ื™ื. ืžืกื™ื‘ื” ื–ื• ื›ืœ ื”ืคืงื•ื“ื•ืช ืฉื ืจืื” ื›ืืŸ ืขืœ SQLite ื™ืขื‘ื“ื• ื›ืžื• ืฉื”ืŸ ืขืœ ื›ืœ ื‘ืกื™ืก ื ืชื•ื ื™ื ืื—ืจ. ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ื”ืจืืฉื•ืŸ ืฉืœื ื• ื”ื›ื ืกื• ืœืืชืจ: https://sqlime.org ื•ืฉื ืœื—ืฆื• ืขืœ ื”ืœื™ื ืง "Demo database". ืœื™ื ืง ื–ื” ื™ื•ืฆืจ ื‘ืกื™ืก ื ืชื•ื ื™ื ืœื“ื•ื’ืžื” ืฉืžื•ืจื›ื‘ ืžืฉืชื™ ื˜ื‘ืœืื•ืช. ืœืื—ืจ ืžื›ืŸ ืœื—ืฆื• ืขืœ ื”ื›ืคืชื•ืจ tables ื›ื“ื™ ืœืจืื•ืช ืืช ืจืฉื™ืžืช ืฉืชื™ ื˜ื‘ืœืื•ืช ื”ื“ื•ื’ืžื”: 1. employees 2. expenses ืœื—ืฆื• ืขืœ ื”ืžื™ืœื” employees ื›ื“ื™ ืœืจืื•ืช ืืช ืžื‘ื ื” ื”ื˜ื‘ืœื”. ื”ืชื•ืฆืื” ื”ื™ื ืจืฉื™ืžืช ื”ืขืžื•ื“ื•ืช: 1. id 2. name 3. city 4. department 5. salary ืื‘ืœ ืื™ืคื” ื”ื ืชื•ื ื™ื ืขืฆืžื? ื”ืฉืื™ืœืชื” ื”ืจืืฉื•ื ื” ืฉืœื ื• ื‘ืชื™ื‘ืช ื”ืฉืื™ืœืชื” ื›ืชื‘ื• ืืช ื”ื˜ืงืกื˜:
SELECT id, name, city FROM employees;
ืœื ื—ื™ื™ื‘ื™ื ืœื”ืงืคื™ื“ ืขืœ ืื•ืชื™ื•ืช ืงื˜ื ื•ืช ื•ื’ื“ื•ืœื•ืช, ื•ื’ื ืืคืฉืจ ืœื•ื•ืชืจ ืขืœ ื”ื ืงื•ื“ื” ืคืกื™ืง ื‘ืกื•ืฃ. ื”ืชื•ืฆืื” ื ืจืื™ืช ื›ืš:
id name city
11 Diane London
12 Bob London
21 Emma London
22 Grace Berlin
23 Henry London
24 Irene Berlin
25 Frank Berlin
31 Cindy Berlin
32 Dave London
33 Alice Berlin
ื”ืคืงื•ื“ื” ืฉืจืฉืžื ื• ื ืงืจืืช ืฉืื™ืœืชืช SQL. ื‘ืขื•ื“ ืฉื‘ืืงืกืœ ืจืื™ื ื• ืืช ื›ืœ ื”ื ืชื•ื ื™ื ื‘ื˜ื‘ืœื” ืื—ืช ืขืœ ื”ืžืกืš, ื‘ื‘ืกื™ืก ื ืชื•ื ื™ื ื”ื ื—ืช ื”ืขื‘ื•ื“ื” ื”ื™ื ืฉื™ืฉ ื”ืžื•ืŸ ื ืชื•ื ื™ื ื•ืœื›ืŸ ืื ื—ื ื• ืฆืจื™ื›ื™ื ืœื‘ืงืฉ ืกืคืฆื™ืคื™ืช ืืช ื”ื ืชื•ื ื™ื ืฉืื ื—ื ื• ืจื•ืฆื™ื ื›ื“ื™ ืœืจืื•ืช ืžื™ื“ืข. ื‘ื•ืื• ื ืคืจืง ืืช ื”ืฉืื™ืœืชื” ื›ื“ื™ ืœืจืื•ืช ืืช ื”ื—ืœืงื™ื ืฉืœื”: 1. ื”ืคืงื•ื“ื” SELECT ืื•ืžืจืช ืœื‘ืกื™ืก ื”ื ืชื•ื ื™ื ืฉืื ื—ื ื• ืจื•ืฆื™ื ืœืงื‘ืœ ืžื™ื“ืข. ื‘ื”ืžืฉืš ื”ืงื•ืจืก ื ืœืžื“ ืขื•ื“ ืคืงื•ื“ื•ืช ืฉื ื•ื›ืœ ืœืฉืœื•ื— ืœื‘ืกื™ืก ื”ื ืชื•ื ื™ื. 2. ืื—ืจื™ ื”ืคืงื•ื“ื” SELECT ืื ื™ ืจื•ืฉื ืืช ืจืฉื™ืžืช ื”ืขืžื•ื“ื•ืช ืฉืื ื™ ืจื•ืฆื” ืœืงื‘ืœ. ืื ื™ ื™ื•ื“ืข ืืช ืฉืžื•ืช ื”ืขืžื•ื“ื•ืช ื›ื™ ืจืื™ืชื™ ืืช ืžื‘ื ื” ื”ื˜ื‘ืœื” ืงื•ื“ื ื‘ืขื–ืจืช ื›ืคืชื•ืจ tables, ื•ื›ืŸ ื‘ืื•ืคืŸ ื›ืœืœื™ ื‘ืกื™ืก ื ืชื•ื ื™ื ืžืฆืคื” ืฉืชื“ืขื• ืื™ื–ื” ืขืžื•ื“ื•ืช ื™ืฉ ื‘ื›ืœ ื˜ื‘ืœื” ื•ืื™ื–ื” ื˜ื‘ืœืื•ืช ื™ืฉ. 3. ื”ืคืงื•ื“ื” FROM ืžืคืจื™ื“ื” ื‘ื™ืŸ ืจืฉื™ืžืช ื”ืขืžื•ื“ื•ืช ืœืฉื ื”ื˜ื‘ืœื” - ื‘ืžืงืจื” ืฉืœื ื• employees. ืขื›ืฉื™ื• ืืชื 1. ืฉื ื• ืืช ืจืฉื™ืžืช ื”ืขืžื•ื“ื•ืช ื‘ืฉืื™ืœืชื” ืฉื›ืชื‘ื ื• ื™ื—ื“ ื•ื•ื“ืื• ืฉืืชื ืžืฆืœื™ื—ื™ื ืœืงื‘ืœ ืขืžื•ื“ื•ืช ื ื•ืกืคื•ืช. 2. ื‘ื“ืงื• ืื™ื–ื” ืขืžื•ื“ื•ืช ื™ืฉ ื‘ื˜ื‘ืœื” ื”ืฉื ื™ื™ื” ื‘ื‘ืกื™ืก ื”ื ืชื•ื ื™ื ื•ื”ืฆื™ื’ื• ืืช ื”ืฉื•ืจื•ืช ืฉืœื” ืขืœ ื”ืžืกืš. 3. ื”ื—ืœื™ืคื• ืืช ืจืฉื™ืžืช ื”ืขืžื•ื“ื•ืช ื‘ืกื™ืžืŸ ื”ื‘ื•ื“ื“ * ื‘ืื—ืช ื”ืฉืื™ืœืชื•ืช ื•ื‘ื“ืงื• ืžื” ืงื•ืจื”.

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ืกื™ื“ืจืช SQL ื‘ืกื™ืกื™ - ืคื•ืกื˜ 3 - ืชืจื’ื•ืœ ื”ื™ื›ืจื•ืช ืขื ื ืชื•ื ื™ื ื˜ื™ื•ืœื™ื ืœืคืจื™ื– ื–ื” ื ื—ืžื“ ืื‘ืœ ื‘ืขื•ืœื ื”ืืžื™ืชื™ ืื ื—ื ื• ืฆืจื™ื›ื™ื ืœื ื”ืœ ื ืชื•ื ื™ื ื”ืจื‘ื” ื™ื•ืชืจ ื’ื“ื•ืœื™ื. ืžื” ื–ื” ื ืชื•ื ื™ื ื’ื“ื•ืœื™ื? ื‘ืืชืจ data.gov.il ื ื•ื›ืœ ืœืžืฆื•ื ื›ืžื” ื“ื•ื’ืžืื•ืช ืœืงื‘ืฆื™ ื ืชื•ื ื™ื ื™ื•ืชืจ ื’ื“ื•ืœื™ื ื•ืœืงื‘ืœ ื”ืฆืฆื” ืœืžื™ื“ืข ืฉืžืขืจื›ื•ืช ืžื—ืฉื‘ ืžื ื”ืœื•ืช. ืจืฉื™ืžืช ื˜ื™ืกื•ืช ื”ื•ืจื™ื“ื• ืืช ื˜ื‘ืœืช ื”ื˜ื™ืกื•ืช ืžื”ืงื™ืฉื•ืจ ื”ื–ื”: https://data.gov.il/dataset/flydata ื ื™ืชืŸ ืœื”ื•ืจื™ื“ ืืช ื”ืžืื’ืจ ื›ืงื•ื‘ืฅ CSV ืื• ืœืฆืคื•ืช ืื•ื ืœื™ื™ืŸ. ืื ื™ ืžืžืœื™ืฅ ืขืœ ืฆืคื™ื™ื” ืื•ื ืœื™ื™ืŸ ื‘ื’ืœืœ ืฉืงื™ื“ื•ื“ ื”ืงื•ื‘ืฅ ื‘ CSV ื™ื›ื•ืœ ืœืกื‘ืš. ืื ื‘ื›ืœ ื–ืืช ืืชื ืจื•ืฆื™ื ืœื”ื•ืจื™ื“ ืืช ื” CSV ืชื•ื›ืœื• ืœืคืชื•ื— ืื•ืชื• ื‘ืืงืกืœ ื•ื›ื“ืื™ ืœืจืื•ืช ืืช ื”ืขื‘ืจื™ืช ืชืฆื˜ืจื›ื• ืœืฉื ื•ืช ืืช ื”ืงื™ื“ื•ื“ ืœ UTF-8. ื›ืืŸ ื™ืฉ ื”ืกื‘ืจ ืื™ืš ืœืขืฉื•ืช ืืช ื–ื”: https://support.microsoft.com/en-gb/office/opening-csv-utf-8-files-correctly-in-excel-8a935af5-3416-4edd-ba7e-3dfd2bc4a032 ืื—ืจื™ ืฉื”ื•ืจื“ืชื ืื• ืฆืคื™ืชื ืื•ื ืœื™ื™ืŸ ื‘ืงื•ื‘ืฅ ื ืกื• ืœืขื ื•ืช ืขืœ ื”ืฉืืœื•ืช: 1. ื›ืžื” ื˜ื™ืกื•ืช ื”ืžืจื™ืื• ืืชืžื•ืœ ื‘ืฉืขื” ื”ืžืชื•ื›ื ื ืช? 2. ืžื”ืŸ ื›ืœ ื—ื‘ืจื•ืช ื”ืชืขื•ืคื” ืฉื”ืžืจื™ืื• ืื• ื ื—ืชื• ืืชืžื•ืœ ื‘ื™ืฉืจืืœ? 3. ืžื”ื™ ื”ืžื“ื™ื ื” ืืœื™ื” ื™ืฆืื• ื”ื›ื™ ื”ืจื‘ื” ื˜ื™ืกื•ืช ืืชืžื•ืœ? 4. ื›ืžื” ื˜ื™ืกื•ืช ื™ืฆืื• ืžื˜ืจืžื™ื ืœ 3? ื›ืžื” ืžื˜ืจืžื™ื ืœ 1? 5. ืื™ื–ื” ื—ื‘ืจื•ืช ืชืขื•ืคื” ื˜ืกื•ืช ืžื˜ืจืžื™ื ืœ 1? ืื™ื–ื” ืžื˜ืจืžื™ื ืœ 3? ืื™ื–ื” ืžืฉื ื™ ื”ื˜ืจืžื™ื ืœื™ื? ืกื ื™ืคื™ ื‘ื ืงื™ื ื”ื•ืจื™ื“ื• ืืช ืงื•ื‘ืฅ ืกื ื™ืคื™ ื”ื‘ื ืงื™ื ืžื”ืงื™ืฉื•ืจ ื”ื–ื”: https://data.gov.il/dataset/branches ื”ืคืขื ื›ื‘ืจ ื™ืฉ ืœื ื• ืืช ื”ืžื™ื“ืข ื›ืงื•ื‘ืฅ ืืงืกืœ ืื– ืคืชื—ื• ืื•ืชื• ื‘ืืงืกืœ ื•ื ืกื• ืœืขื ื•ืช ืขืœ ื”ืฉืืœื•ืช: 1. ืœืื™ื–ื” ื‘ื ืง ื™ืฉ ื”ื›ื™ ื”ืจื‘ื” ืกื ื™ืคื™ื? 2. ื‘ืื™ื–ื” ืขื™ืจ ื™ืฉ ื”ื›ื™ ื”ืจื‘ื” ืกื ื™ืคื™ ื‘ื ืงื™ื? 3. ืžื”ื ื›ืœ ื”ื˜ืœืคื•ื ื™ื ืฉืœ ืกื ื™ืคื™ ื‘ื ืง ื“ื™ืกืงื•ื ื˜ ื‘ืชืœ ืื‘ื™ื‘? 4. ื‘ืื™ื–ื” ื™ืžื™ื ื›ืœ ืกื ื™ืคื™ ื”ื‘ื ืงื™ื ืคืชื•ื—ื™ื? 5. ื‘ืื™ื–ื” ืขืจื™ื ื™ืฉ ืกื ื™ืฃ ืฉืœ ื™ื•ื‘ื ืง?