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Даны 2 таблицы с названиями orders и products c колонками "order_id", "customer_id", "product_id", "order_date", "quantity" и "product_id", "product_name", "unit_price". Какой из следующих SQL запросов вернет топ-5 покупателей, которые потратили больше всего в категории "Electronics"?

A) SELECT o.customer_id, SUM(o.quantity * p.unit_price) AS total_spent
FROM orders o JOIN products p ON o.product_id = p.product_id
WHERE p.product_name LIKE '%Electronics%'
GROUP BY o.customer_id
ORDER BY total_spent DESC
LIMIT 5;

B) SELECT o.customer_id, SUM(o.quantity * p.unit_price) AS total_spent
FROM orders o JOIN products p ON o.product_id = p.product_id
WHERE p.product_id IN (SELECT product_id FROM products WHERE product_name LIKE '%Electronics%')
GROUP BY o.customer_id
ORDER BY total_spent DESC
LIMIT 5;

C) SELECT o.customer_id, SUM(o.quantity * p.unit_price) AS total_spent
FROM orders o JOIN products p ON o.product_id = p.product_id
WHERE p.product_id IN (SELECT product_id FROM products WHERE product_name LIKE 'Electronics%')
GROUP BY o.customer_id
ORDER BY total_spent DESC
LIMIT 5;

D) SELECT o.customer_id, SUM(o.quantity * p.unit_price) AS total_spent
FROM orders o JOIN products p ON o.product_id = p.product_id
WHERE p.product_id IN (SELECT product_id FROM products WHERE product_name = 'Electronics')
GROUP BY o.customer_id
ORDER BY total_spent DESC
LIMIT 5;

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Даны 2 таблицы с названиями orders и products c колонками "order_id", "customer_id", "product_id", "order_date", "quantity" и "product_id", "product_name", "unit_price". Какой из следующих SQL запросов вернет топ-5 покупателей, которые потратили больше всего в категории "Electronics"?

A) SELECT o.customer_id, SUM(o.quantity * p.unit_price) AS total_spent
FROM orders o JOIN products p ON o.product_id = p.product_id
WHERE p.product_name LIKE '%Electronics%'
GROUP BY o.customer_id
ORDER BY total_spent DESC
LIMIT 5;

B) SELECT o.customer_id, SUM(o.quantity * p.unit_price) AS total_spent
FROM orders o JOIN products p ON o.product_id = p.product_id
WHERE p.product_id IN (SELECT product_id FROM products WHERE product_name LIKE '%Electronics%')
GROUP BY o.customer_id
ORDER BY total_spent DESC
LIMIT 5;

C) SELECT o.customer_id, SUM(o.quantity * p.unit_price) AS total_spent
FROM orders o JOIN products p ON o.product_id = p.product_id
WHERE p.product_id IN (SELECT product_id FROM products WHERE product_name LIKE 'Electronics%')
GROUP BY o.customer_id
ORDER BY total_spent DESC
LIMIT 5;

D) SELECT o.customer_id, SUM(o.quantity * p.unit_price) AS total_spent
FROM orders o JOIN products p ON o.product_id = p.product_id
WHERE p.product_id IN (SELECT product_id FROM products WHERE product_name = 'Electronics')
GROUP BY o.customer_id
ORDER BY total_spent DESC
LIMIT 5;

Ответить на вопрос можно ниже ⬇️

BY SQL для тестировщика


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SQL для тестировщика Telegram | DID YOU KNOW?

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That strategy is the acquisition of a value-priced company by a growth company. Using the growth company's higher-priced stock for the acquisition can produce outsized revenue and earnings growth. Even better is the use of cash, particularly in a growth period when financial aggressiveness is accepted and even positively viewed.he key public rationale behind this strategy is synergy - the 1+1=3 view. In many cases, synergy does occur and is valuable. However, in other cases, particularly as the strategy gains popularity, it doesn't. Joining two different organizations, workforces and cultures is a challenge. Simply putting two separate organizations together necessarily creates disruptions and conflicts that can undermine both operations.

Telegram has exploded as a hub for cybercriminals looking to buy, sell and share stolen data and hacking tools, new research shows, as the messaging app emerges as an alternative to the dark web.An investigation by cyber intelligence group Cyberint, together with the Financial Times, found a ballooning network of hackers sharing data leaks on the popular messaging platform, sometimes in channels with tens of thousands of subscribers, lured by its ease of use and light-touch moderation.SQL для тестировщика from id


Telegram SQL для тестировщика
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