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Still remember how to select the sum which group by one column?
Try to think about how to get the median from a sorted list.
How to get the median one item for odd number list while how to get the median two items for even number list, try to unify them.
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Median-related problems are common in technical interviews because they test understanding of ordering and edge cases. Variants of this problem, especially using SQL window functions, can appear in database-focused interview rounds.
The optimal approach uses SQL window functions such as ROW_NUMBER() and COUNT() partitioned by company and ordered by salary. These functions help identify the middle position(s) for each company. Filtering those rows gives the median salary efficiently.
Commonly used functions include ROW_NUMBER(), RANK(), and COUNT() with the OVER(PARTITION BY ...) clause. These help assign positions to salaries within each company and determine which rows represent the median values.
The key concept is window functions and partition-based sorting in SQL. Instead of traditional data structures, SQL relies on ordered partitions and ranking to determine median positions within grouped data.