Approach
Relational aggregation
For The Number of Seniors and Juniors to Join the Company, the query transforms and combines relational rows, then filters or aggregates them into the requested result.
- Identify the source rows and join keys.
- Apply filters before aggregation when possible.
- Group, rank, or project the final columns required by the result.
Code notes
- 40 lines of SQL from the credited upstream file 2004.sql.
- The implementation keeps its working state in language-native values and containers.
- No explicit loop blocks detected.
Complexity
Review join cardinality, grouping keys, and available indexes when estimating query cost.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
1WITH2 AccumualtedCandidates AS (3 SELECT4 employee_id,5 experience,6 ROW_NUMBER() OVER(7 PARTITION BY experience8 ORDER BY salary, employee_id9 ) AS candidate_count,10 SUM(salary) OVER(11 PARTITION BY experience12 ORDER BY salary, employee_id13 ) AS accumulated_salary14 FROM Candidates15 ),16 MaxHiredSeniors AS (17 SELECT18 IFNULL(MAX(candidate_count), 0) AS accepted_candidates,19 IFNULL(MAX(accumulated_salary), 0) AS accumulated_salary20 FROM AccumualtedCandidates21 WHERE22 experience = 'Senior'23 AND accumulated_salary < 7000024 )25SELECT26 'Senior' AS experience,27 accepted_candidates28FROM MaxHiredSeniors29UNION ALL30SELECT31 'Junior' AS experience,32 COUNT(*) AS accepted_candidates33FROM AccumualtedCandidates AS Juniors34WHERE35 experience = 'Junior'36 AND Juniors.accumulated_salary < (37 SELECT 70000 - MaxHiredSeniors.accumulated_salary38 FROM MaxHiredSeniors39 );40