Type a query and see your table filter, shrink, reorder and transform in real time. Master SQL by seeing every clause in action.
| name | department | salary |
|---|
Find customers whose total cumulative purchase spend exceeds the average customer spend in their respective city.
Practice real questions reported by candidates, organized by company and difficulty.
No black boxes or static outputs. Watch the relational database engine compute every clause step-by-step.
As you type in the editor, the database table updates live (debounced at ~120ms). You immediately see how every keyword mutates the underlying rows and columns.
Non-matching rows turn red, show strikethrough, and collapse smoothly. Matching rows pulse with a subtle green glow.
Unselected columns dim and slide away. Aliases animate header renames, and expressions slide in with a computed tag.
Rows physically glide into their new ordered positions at 60fps. The sorted header displays animated direction arrows.
A dashed cut line marks the boundary. Rows beyond the cutoff line fade out into dimmed obscurity.
Click any clause chip (FROM → WHERE → SELECT → ORDER BY → LIMIT) to scrub the table back to that exact state, or hit Step Through to auto-play.
Hover over any keyword in the editor (e.g. WHERE or ORDER BY) and see the corresponding columns and cutoff lines highlight immediately in the table.
Typing is calm. The editor never screams on partial queries. Helpful plain-English suggestions appear after you pause.
Get nudged without giving away the answer. Solutions unlock only after you have explored the progressive hints.
Compare your result side-by-side with the expected answer. Get granular diagnostics on order, columns, and filters.
Three steps to mastering relational query execution.
Inspect the scenario, requirements, and interactive table schema. Understand which records must be retrieved.
As you write SELECT, WHERE, ORDER BY, and LIMIT, the live visualizer mutates rows and columns before your eyes.
Press Run to test against verified test cases. If incorrect, side-by-side diff highlights exact discrepancies.
Work through one skill at a time, from basic filtering to window functions and hard interview questions. Each plan goes from easy to hard.
Every SQL interview starts here. These questions cover choosing rows with WHERE, combining conditions, handling NULLs, sorting with ORDER BY and keeping only the rows you need with LIMIT and DISTINCT.
Joins are where most interview answers go wrong: rows disappear, duplicate or turn NULL. Work through inner and outer joins, self joins on the same table and anti joins that find rows with no match.
Most analytics questions boil down to grouping rows and summarising them. Practise COUNT, SUM and AVG, filtering groups with HAVING, counting distinct values and building ratios with conditional aggregation.
Harder questions need more than one step. Learn to break a problem into stages with WITH clauses, compare rows against a group result with correlated subqueries and reuse derived tables.
Window functions are the most common topic in mid-level and senior SQL interviews. Rank rows within groups, compare each row with the previous one and compute running totals without collapsing your result.
Product and analytics interviews love dates. Practise date arithmetic, grouping by month, comparing periods, finding consecutive days and building retention and cohort reports.
Ready for senior-level rounds? These questions combine several techniques at once: window functions inside CTEs, gaps and islands, sessionization and multi-step funnel and retention analysis.