PARTITION BY
The PARTITION BY
clause is used with window functions to divide rows into groups, allowing each group to be processed independently.
It works similarly to GROUP BY
, but unlike GROUP BY
, it does not collapse rows. Instead, it retains all rows while logically segmenting them for window function calculations.
Syntax
You can use PARTITION BY
to group rows into partitions.
SELECT column, window_function(...) OVER ( PARTITION BY group_column ORDER BY sort_column ) AS result FROM table;
PARTITION BY
splits rows into groups.ORDER BY
sorts rows within each group.
Example: Rank Students Within Each Class
Assume we have the following table:
scores
name | class | score |
---|---|---|
Alex | A | 92 |
Sara | A | 95 |
Daniel | A | 88 |
Mia | B | 90 |
John | B | 85 |
Emma | B | 93 |
We want to rank students within each class by their score.
SELECT name, class, score, RANK() OVER ( PARTITION BY class ORDER BY score DESC ) AS rank_in_class FROM scores;
The query returns the following:
Result:
name | class | score | rank_in_class |
---|---|---|---|
Sara | A | 95 | 1 |
Alex | A | 92 | 2 |
Daniel | A | 88 | 3 |
Emma | B | 93 | 1 |
Mia | B | 90 | 2 |
John | B | 85 | 3 |
Here, each class has its own ranking system because of PARTITION BY class
.
In general, PARTITION BY
splits rows into groups so window functions calculate results within each group rather than across the entire table.
What is the main difference between the RANK() and DENSE_RANK() functions in SQL?
RANK() assigns the same rank to all rows with the same value and skips the next rank.
DENSE_RANK() assigns different ranks to all rows regardless of value.
RANK() assigns a unique rank to each row even if values are the same.
DENSE_RANK() skips ranks after encountering identical values.
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