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The CUBE operator in SQL generates a multi-dimensional aggregation, creating subtotals for all combinations of specified columns. It’s particularly useful for advanced reporting and OLAP-style summaries.
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What is the purpose of the CUBE clause in SQL?
Which of the following best describes GROUP BY CUBE(a, b)?
How many rows of groupings are generated for CUBE(a, b, c) (excluding duplicates)?
Which SQL clause is CUBE most closely associated with?
What is the output of:
SELECT region, product, SUM(sales)
FROM orders
GROUP BY CUBE(region, product);
What is the number of grouping sets in `CUBE(a, b)`?
What happens when you add `GROUPING()` function in a `CUBE` query?
Which of the following is equivalent to `CUBE(a, b)`?
What does the `()` grouping set represent in a `CUBE` output?
In which scenario is `CUBE` preferred over `ROLLUP`?
What is the key difference between `ROLLUP` and `CUBE`?
What does `GROUPING(region)` return in a CUBE result row where `region` is NULL due to aggregation?
Which SQL dialects support `CUBE` natively?
What will happen if you use `CUBE` with three columns (a, b, c)?
Which function allows replacing NULLs in a CUBE report for display clarity?
The SQL “CUBE” operator generates aggregated reports for all combinations of selected columns. It’s highly useful in OLAP and business intelligence, providing full-dimensional data summaries in a single query.
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