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מודול 13 · שיעור 2 מתוך 450/57 בקורס~15 min
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קיבוץ עם PARTITION BY

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.

פעילות גופנית#sql.m13.l2.e1
ניסיונות: 0טוען...

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.

טוען עורך...
הצג רמז

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

הפתרון זמין לאחר 3 ניסיונות

פעילות גופנית#sql.m13.l2.e2
ניסיונות: 0טוען...

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

טוען עורך...
הצג רמז

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

הפתרון זמין לאחר 3 ניסיונות