Selecting Top Max Values from a Table
In database management, it can be necessary to retrieve the top n highest values from a table. To achieve this, there are several approaches available. Consider the following table:
column1 column2 1 foo 2 foo 3 foo 4 foo 5 bar 6 bar 7 bar 8 bar
For n=2, we want to obtain these results:
3 4 7 8
Approximation Using Group Max
An initial approach is to calculate the maximum value for each group:
SELECT max(column1) FROM table GROUP BY column2
However, this method only provides the top value for each group, not the top n values.
Union-Based Solution
For n=2, the following union-based query can be used:
SELECT max(column1) m FROM table t GROUP BY column2 UNION SELECT max(column1) m FROM table t WHERE column1 NOT IN (SELECT max(column1) WHERE column2 = t.column2)
This query selects the top values and then excludes duplicates by joining the second query, which finds the next highest value not already selected.
Rank Simulation
For any value of n, a more generic approach is to simulate the rank() function over partitions. One way to do this is:
SELECT t.* FROM (SELECT grouper, (SELECT val FROM table li WHERE li.grouper = dlo.grouper ORDER BY li.grouper, li.val DESC LIMIT 2,1) AS mid FROM ( SELECT DISTINCT grouper FROM table ) dlo ) lo, table t WHERE t.grouper = lo.grouper AND t.val > lo.mid
This query groups the values by the desired column and then finds the next highest value for each group within the specified limit (in this case, 2,1 for n=2).
By following these approaches, you can effectively select the top n max values from a given table, ensuring that duplicate values are eliminated and the correct number of records is returned.
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