AI SQL Query Explainer & Optimizer
Detect un-indexed table scans, eliminate N+1 subqueries, explain joins in plain English, and generate optimal composite indexes.
Analyzes SQL queries to identify full-table scans, unindexed JOIN operations, and subquery bottlenecks across PostgreSQL, MySQL, and Snowflake. For example, an unindexed `WHERE customer_id = ?` on a 10M-row table is flagged with the exact B-Tree composite indexing syntax to accelerate query runtimes from 2.4s to <15ms.
Estimated Speedup: ~12x Faster
Replaced full sequential table scan with B-Tree index seek.
Query Flow in Plain English
This query fetches recent pending customer orders along with user emails and total amounts by joining the orders and users tables, filtering records created in the last 30 days.
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