Converting DISTINCT ON Queries from PostgreSQL to MySQL
In the transition from PostgreSQL to MySQL, users may encounter a difference in the syntax for eliminating duplicate rows based on specific column values. PostgreSQL employs the SELECT DISTINCT ON statement, while MySQL utilizes an extension of the GROUP BY clause.
PostgreSQL's SELECT DISTINCT ON
The SELECT DISTINCT ON (col1, col2, col3) query in PostgreSQL retains the first qualifying row for each unique combination of the specified columns. For example, consider the following table:
col1 | col2 | col3 | col4 | col5 |
---|---|---|---|---|
1 | 2 | 3 | 777 | 888 |
1 | 2 | 3 | 888 | 999 |
3 | 3 | 3 | 555 | 555 |
The query will output:
col4 | col5 |
---|---|
777 | 888 |
555 | 555 |
MySQL's Extension to GROUP BY
MySQL's extension allows the selection of non-aggregated columns even if they are not included in the GROUP BY clause. However, the server has the freedom to choose arbitrary values from these columns for each group.
Equivalent MySQL Query
The equivalent MySQL query for the PostgreSQL example is:
SELECT col4, col5 FROM tablename GROUP BY col1, col2, col3;
Both PostgreSQL and MySQL will return one row for each (col1, col2, col3) combination, but the specific row returned may vary due to the lack of an explicit ordering.
Workaround for Ordered Queries
To mimic PostgreSQL's ordered DISTINCT ON behavior, a more complex query in MySQL is required:
SELECT t1.col4, t1.col5 FROM tablename t1 INNER JOIN ( SELECT col1, col2, col3, MIN(col4) AS m_col4 FROM tablename GROUP BY col1, col2, col3 ) s ON t1.col1 = s.col1 AND t1.col2 = s.col2 AND t1.col3 = s.col3 AND t1.col4 = s.m_col4 GROUP BY t1.col1, t1.col2, t1.col3, t1.col4;
Conclusion
While MySQL does not have an exact counterpart for Postgresql's SELECT DISTINCT ON, workarounds involving the GROUP BY extension can provide similar functionality. The complexity of the workaround may vary depending on the query requirements.
The above is the detailed content of How to Convert PostgreSQL's SELECT DISTINCT ON Queries to MySQL?. For more information, please follow other related articles on the PHP Chinese website!