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Problem solution · SQL

Get Highest Answer Rate Question

Get Highest Answer Rate Question: a SQL solution using relational aggregation. Learn the idea, check the complexity, and read the full code, with credit to walkccc LeetCode Solutions.

Technique
Relational aggregation
Source
walkccc LeetCode Solutions
Length
8 lines
Start with the idea.

Try the problem first. If you get stuck, read the approach below, then write your own solution. The full code is at the bottom.

Approach

Relational aggregation

For Get Highest Answer Rate Question, the query transforms and combines relational rows, then filters or aggregates them into the requested result.

  1. Identify the source rows and join keys.
  2. Apply filters before aggregation when possible.
  3. Group, rank, or project the final columns required by the result.

Code notes

  • 8 lines of SQL from the credited upstream file 578.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.

Source

Code and credit

This code comes from walkccc LeetCode Solutions by P.-Y. Chen (walkccc) and is used under the MIT licence.

Open problem ↗Original source ↗
Full codeGet Highest Answer Rate Question · SQLSQL
Use this to learn the idea, then write your own version.
SELECT question_id AS survey_logFROM SurveyLogGROUP BY 1ORDER BY  COUNT(answer_id) / COUNT(*) DESC,  question_id ASCLIMIT 1;

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