SQL Interactive Practice Lab & Interview Accelerator
Execute genuine SQL queries with sub-millisecond execution plans, solve 100+ challenges, and simulate technical hiring interviews.
Create Index and Measure Query Plan
Select All Product Catalog Details
Project Discounted Retail Prices
Distinct Customer Countries
Static System Status Projection
Employee Name and Role Projection
Department Budget and Location
Course Credit Overview
Customer Bank Balances
Filter High-Ticket Products
Filter Engineering Staff with High Salaries
Find Completed or High-Value Orders
Find Customers with NULL Loyalty Tiers or Specific Country
Sort Products by Price Descending
Multi-Column Sorting on Employees
Sort Students by GPA
Order Transactions by Timestamp
Top 3 Most Expensive Catalog Products
Paginated Catalog View (Page 2)
Top 5 Paid Employees
Second Highest Product Price
Total E-Commerce Revenue
Average Product Rating and Price
Employee Salary Range Analysis
Count of Active Software Projects
Product Count per Category
Department Payroll Distribution
Average GPA by Major
Transaction Count by Status
Categories with Multiple High-Priced Products
Departments with More Than 2 Employees
Customers with More than One Completed Order
High Volume Merchant Accounts
Product Details with Category Names
Employees and Department Information
Customer Completed Order Totals
Student Course Enrollments with Professor
All Customers and Their Orders (Including Zero Orders)
Identify Customers Who Never Placed an Order
All Departments and Assigned Employees
All Products and Their Review Ratings
Emulate RIGHT JOIN: Orders with Customers
Right Outer Logic: Projects and Departments
Enrollments Preserved Right Join Logic
Merchant Transactions Right Perspective
Full Outer Emulation: Users and Orders
Departments and Employees Full Roster
Products and Reviews Full Coverage
Accounts and Transactions Comprehensive Union
Employee and Direct Manager Hierarchy
Employees Earning More Than Their Manager
Category Hierarchy Self Join
Find Peer Employees in the Same Department
Products Priced Above Catalog Average
Employees Earning Above Department Average
Students Enrolled in CS101
Departments with No Assigned Staff
Products More Expensive Than Their Category Average
Customers with Verified Completed Orders Using EXISTS
Identify Employees Earning Max Salary in Department
Students Taking Multiple Courses Using Correlated Subquery
Customer Spending Aggregation with CTE
Department Budget Utilization CTE
High Enrollment Courses CTE
Multiple Chained CTEs for Order Item Breakdown
Generate Integer Sequence 1 to 5
Hierarchical Employee Management Chain
Traverse Category Taxonomy Tree
Sum of First 10 Integers Recursive Calculation
Running Cumulative Revenue Over Time
Department Salary Share Calculation
Previous Transaction Delta Using LAG()
Lead Transaction Tracking with LEAD()
Rank Products by Price using ROW_NUMBER()
Rank Products with Ties using DENSE_RANK()
Top Earner Per Department Using Window Filter
Student GPA Ranking using RANK()
Extract Order Year and Month
Monthly Sales Revenue Breakdown
Filter Accounts Opened in 2021
Calculate Employee Tenure Years
Uppercase Employee Names & Job Codes
String Concatenation for Course Codes and Titles
Email Domain Extraction
Character Length Filter
Customer Spend Tier Categorization
Salary Compensation Band Classification
Conditional Order Status Flags
Pivot Aggregation with Conditional CASE
Combine Customer and Staff Full Directory
Deduplicated Combined Locations with UNION
High Value Orders and High Balances Union
Transaction Credit vs Debit Partitioning
Verify Primary Key Index Scan via EXPLAIN
Full Table Scan Identification
Create Index and Measure Query Plan
Composite Index Strategy
Sargable Date Range Search vs Function Call
Replace Non-Sargable Arithmetic on Columns
Eliminate Redundant Subquery using JOIN
Optimizing Anti-Joins: NOT EXISTS over NOT IN
Customer Retention Cohort Analysis
Rolling 3-Product Moving Average Price
Second Highest Salary without Subqueries or LIMIT
High Frequency Account Debit Velocity Detection
Comprehensive Multi-Metric Business Scorecard
Realistic e-commerce database with users, categories, products, orders, order items, and reviews.
Registered customer profiles and account creation metadata
Select All Product Catalog Details
Retrieve all columns and all rows from the products catalog.
No query executed yet.
Write an SQL query above and press Run Query (Ctrl+Enter) to view results.
Master Relational Database Engineering with Hands-On Practice
Writing queries is the only way to build relational intuition. Priygop combines production datasets, structured learning paths, and instant execution feedback.
Relational JOINs & Aggregations
Learn when to choose INNER, LEFT, and FULL joins. Master GROUP BY grouping sets, HAVING threshold filters, and anti-join patterns using NOT EXISTS.
Window Functions & CTEs
Solve complex business intelligence queries with ROW_NUMBER, DENSE_RANK, LAG, and LEAD. Traverse organizational hierarchies with Recursive CTEs.
Query Performance & Indexing
Inspect EXPLAIN execution plans. Identify non-sargable functions causing sequential table scans and formulate covering B-Tree index strategies.
Take the Full 12-Module SQL Course
Deepen your theory: ACID transactions, normalization, database design, and ORM optimization.
Frequently Asked Questions (FAQ)
How does Priygop execute real SQL queries safely?
Priygop compiles the official SQLite 3 C engine to WebAssembly (`sql.js`), loading it directly in an isolated memory buffer. It operates 100% inside your browser session with zero access to filesystem or production credentials, providing sub-millisecond query execution.
Can I write my own CREATE TABLE or INSERT queries?
Yes! You have full database owner privileges over your session database. You can create tables, insert rows, alter schemas, and index columns. If you ever want to return to the original data, simply click the "Reset Data" button in the Schema Explorer.
How do the Timed Interview Simulations work?
Timed Interview Mode presents you with realistic technical screening question packs (Fresher, Junior, Mid, Senior, Data Analyst, Backend, DBA). You write and submit queries against strict time limits, receiving a comprehensive scorecard with topic strength and weakness analysis upon completion.