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模块 13 · 第 2 课(共 4)课程中的50/57~15 min
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使用 PARTITION BY 进行分组

Grouping with PARTITION BY

Having global calculations on every row is handy, but often it is not enough. We may want to compute the average per category or per customer, while keeping the original detail on every row.

This is where PARTITION BY inside the OVER(...) clause comes in.

How PARTITION BY works

Conceptually it behaves similarly to GROUP BY, but instead of collapsing rows in the result, it only defines the boundary of the "window" of data on which the function will operate to compute the result for the single row.

SQL
SELECT
  product_name,
  category_id,
  price,
  AVG(price) OVER(PARTITION BY category_id) AS cat_avg_price
FROM products;

Each product row keeps its own details, and the cat_avg_price column will show the average limited to the products in its same category.

锻炼#sql.m13.l2.e1
尝试:0加载中...

From the 'products' table, extract 'id', 'category_id' and 'price'. Add a 'category_total' column computing the SUM of 'price' for each 'category_id' using window functions.

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显示提示

Use SUM(price) OVER(PARTITION BY category_id).

3 次尝试后可用的解决方案

锻炼#sql.m13.l2.e2
尝试:0加载中...

From the 'reviews' table, show 'product_id', 'rating' and 'avg_product_rating' (the average rating partitioned by product). Show all rows.

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显示提示

Use AVG(rating) and PARTITION BY product_id. Cast it to NUMERIC if needed.

3 次尝试后可用的解决方案