Understanding GROUP BY: does the SQL GROUP BY clause group together rows that share the same value(s) for the specified column(s) so that aggregations apply per group?

Difficulty: Easy

Correct Answer: Correct

Explanation:


Introduction / Context:
GROUP BY is essential for reporting and analytics—summing sales per region, counting orders per customer, and so on. This item asks whether GROUP BY collects rows sharing equal values into groups for aggregation.



Given Data / Assumptions:

  • Aggregates like SUM, COUNT, AVG, MIN, MAX operate per group.
  • Non-aggregated selected columns must appear in GROUP BY (standard SQL).
  • Multiple columns or expressions may define a group key.


Concept / Approach:
GROUP BY partitions the result set by the specified key(s). Each partition receives aggregate calculations. For example: SELECT region, SUM(amount) FROM sales GROUP BY region; computes totals per region. With multiple keys: GROUP BY region, year creates groups for each unique combination of region and year.



Step-by-Step Solution:

Select the grouping attributes needed to answer the business question.Place those attributes in GROUP BY.Apply aggregates to measure per-group metrics.Optionally filter groups using HAVING (after grouping).


Verification / Alternative check:
Compare row counts before and after grouping; unique combinations of GROUP BY keys should equal the number of groups returned.



Why Other Options Are Wrong:

  • “Incorrect” contradicts the definition.
  • Limiting to COUNT is wrong—any aggregate works.
  • GROUP BY supports multiple keys and does not require ORDER BY to function (though ORDER BY can sort the grouped output).


Common Pitfalls:
Selecting non-aggregated columns not listed in GROUP BY (violates standard SQL), and confusing HAVING (post-group filter) with WHERE (pre-group filter).



Final Answer:
Correct

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