Partition definition is - the action of parting: the state of being parted: division. How to use partition in a sentence.

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Summary: in this tutorial, you will learn how to use the SQL PARTITION BY clause to change how the window function calculates the result.
PARTITION BY clause overviewThe PARTITION BY clause is a subclause of the OVER clause. The PARTITION BY clause divides a query’s result set into partitions. The window function is operated on each partition separately and recalculate for each partition.
The following shows the syntax of the PARTITION BY clause:
You can specify one or more columns or expressions to partition the result set. The expression1, expression1, etc., can only refer to the columns derived by the FROM clause. They cannot refer to expressions or aliases in the select list.
The expressions of the PARTITION BY clause can be column expressions, scalar subquery, or scalar function. Note that a scalar subquery and scalar function always returns a single value.

If you omit the PARTITION BY clause, the whole result set is treated as a single partition.
PARTITION BY vs. GROUP BYThe GROUP BY clause is used often used in conjunction with an aggregate function such as SUM() and AVG(). The GROUP BY clause reduces the number of rows returned by rolling them up and calculating the sums or averages for each group.
For example, the following statement returns the average salary of employees by departments:
The following picture shows the result:
The PARTITION BY clause divides the result set into partitions and changes how the window function is calculated. The PARTITION BY clause does not reduce the number of rows returned.

The following statement returns the employee’s salary and also the average salary of the employee’s department:
Here is the partial output:
In simple words, the GROUP BY clause is aggregate while the PARTITION BY clause is analytic.
In this tutorial, you have learned about the SQL PARTITION BY clause that changes how the window function’s result is calculated.