Having Filter — Solution & ExplanationProblems / Having Filter / EditorialApproach

GROUP BY customer_id to aggregate per customer.

SUM(amount) to get total spending.

HAVING SUM(amount) > 500 to filter out low-spending customers.

Key ConceptWHERE operates on individual rows *before* grouping. HAVING operates on aggregated values *after* grouping. You cannot reference aggregates in a WHERE clause — use HAVING instead.Hints

WHERE filters rows before aggregation. HAVING filters groups after aggregation.

In PySpark, use .filter() after .agg() — this is equivalent to SQL's HAVING clause.

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