Optimize a slow query on impressions

Last updated: July 17, 2025

Quick Overview

A query on impressions is running slowly. Identify the bottleneck and optimize it.

Oracle
Data Manipulation (SQL/Python)
Data Scientist
Oracle
July 17, 2025
Data Scientist
Onsite
Data Manipulation (SQL/Python)
Medium

8

10

4,457 solved


A query on impressions is running slowly. Identify the bottleneck and optimize it.

Data manipulation questions at Oracle test your ability to work with real-world datasets. This Onsite question evaluates your SQL proficiency, understanding of data modeling, and ability to derive insights from raw data.

What the Interviewer Expects
  • Use advanced SQL features: window functions, CTEs, subqueries
  • Write efficient queries that avoid common performance pitfalls
  • Handle complex data transformations with multiple joins and aggregations
  • Discuss indexing strategy and query optimization
  • Address data quality issues: duplicates, missing values, outliers
Key Topics to Cover
Window functions (ROW_NUMBER, RANK, LAG, LEAD)
Common Table Expressions (CTEs)
NULL handling and COALESCE
Date/time manipulation
How to Approach This
  1. Clarify the schema and expected output format before writing queries.
  2. Use CTEs (WITH clauses) to break complex queries into readable steps.
  3. Consider window functions (ROW_NUMBER, RANK, LAG, LEAD) for ranking and sequential analysis.
  4. Watch for NULLs, duplicates, and edge cases in JOINs and GROUP BY.
  5. For pandas, prefer vectorized operations over row-by-row iteration.
Possible Follow-up Questions
  • What indexes would you create to support this query?
  • What would you do if this query needs to run every 5 minutes?
  • How would you handle this if the data was spread across multiple databases?
  • How would you handle slowly changing dimensions in this scenario?
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Practice SQL Problems
Sample Answer
Problem Understanding

The query involves a dataset of impressions, likely containing fields such as impression_id, user_id, ad_id, timestamp, and possibly other metrics related to ad performance. The goal is to analyze thi...

Approach
  1. Identify the Current Query: Review the existing SQL query to understand its structure and where it may be inefficient.
  2. Analyze Execution Plan: Use the EXPLAIN command to identify bottle...

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