Key Differences Between GROUP BY and PARTITION BY
- Use Case:
- Use GROUP BY for aggregating data and creating summary rows.
- Use PARTITION BY in the context of window functions to perform calculations within specific partitions of the result set.
- Aggregation vs. Window Functions:
- GROUP BY is used with aggregate functions like SUM, AVG, etc., to summarize data.
- PARTITION BY is used with window functions for analytical processing on a specified window of rows.
- Result Set:
- GROUP BY typically results in a reduced dataset with one row per group.
- PARTITION BY does not reduce the number of rows in the result set; instead, it augments each row with calculated values based on the specified window.
GROUP BY vs PARTITION BY in MySQL
MySQL, like many relational database management systems, provides powerful tools for manipulating and analyzing data through the use of SQL (Structured Query Language). Two commonly used clauses, GROUP BY and PARTITION BY, play essential roles in aggregate queries and window functions, respectively.
In this article, we are going to learn about the differences between the GROUP BY and PARTITION BY clauses in MySQL.