level_eagle_1614
Exemplar
Top 2.2%
Member Nº 4480
Joined Aug 2026
SQL
Storage Optimization
Aggregate Window Fns
Window Partitioning
Python
f-strings
Strings
Conditionals
Spark
Exploding Arrays
Catalyst Optimizer
Salting Strategy
Data Modeling
Self-Referential
Many-to-Many
One-to-One
Solved
SQL6
Python0
Milestones
7-day streak
576 runs in the past 26 weeksActive days: 10 · Max streak: 8
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Recent solves
Find users who have made a transaction exceeding $500 using a subquery
SQL · medium · lesson
From products, return product_id, category, price, and COUNT(*) OVER (PARTITION BY category) as item
SQL · medium · lesson
From products, return product_id, category, price, and the RANK within each category ordered by pric
SQL · medium · lesson
From products, return product_id, category, price, and the row_number within each category ordered b
SQL · medium · lesson
Show each employee metric's department, metric_value, and the overall average metric_value across al
SQL · medium · lesson
Show each user session's session_id, user_id, and the total number of sessions for that user
SQL · medium · lesson
Show each transaction's transaction_date, total_amount, and a running total of total_amount ordered
SQL · medium · lesson
Rank products by price from highest to lowest within each category using DENSE_RANK()
SQL · medium · lesson
Assign a dense rank to products by price from highest to lowest, so tied prices share a rank and the
SQL · medium · lesson
Rank products by their rating from highest to lowest using RANK()
SQL · medium · lesson