Approach
Relational aggregation
For The Number of Seniors and Juniors to Join the Company II, 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
- 39 lines of SQL from the credited upstream file 2010.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 HiredSeniors AS (17 SELECT18 employee_id,19 accumulated_salary20 FROM AccumualtedCandidates21 WHERE22 experience = 'Senior'23 AND accumulated_salary < 7000024 )25SELECT HiredSeniors.employee_id26FROM HiredSeniors27UNION ALL28SELECT Juniors.employee_id29FROM AccumualtedCandidates AS Juniors30WHERE31 experience = 'Junior'32 AND Juniors.accumulated_salary < (33 SELECT 70000 - IFNULL(MAX(accumulated_salary), 0)34 FROM AccumualtedCandidates35 WHERE36 experience = 'Senior'37 AND accumulated_salary < 7000038 );39