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Structured Query Language Join Operations Questions

Comprehensive coverage of Structured Query Language join types and multi table query patterns used to combine relational data and answer business questions. Topics include inner join, left join, right join, full outer join, cross join, self join, and anti join patterns implemented with NOT EXISTS and NOT IN. Candidates should understand equi joins versus non equi joins, joining on expressions and composite keys, and how join choice affects row counts and null semantics. Practical skills include translating business requirements into correct join logic, chaining joins across two or more tables, constructing multi table aggregations, handling one to many relationships and duplicate rows, deduplication strategies, and managing orphan records and referential integrity issues. Additional areas covered are join conditions versus WHERE clause filtering, aliasing for readability, using functions such as coalesce to manage null values, avoiding unintended Cartesian products, and basic performance considerations including join order, appropriate indexing, and interpreting query execution plans to diagnose slow joins. Interviewers may probe result correctness, edge cases such as null and composite key behavior, and the candidate ability to validate outputs against expected business logic.

MediumTechnical
0 practiced
A dataset has events keyed by user_id but the user_id domain differs across systems (legacy_user_id vs new_user_id). Describe a join strategy to unite events by a mapping table while avoiding loss of events due to partial mappings. Provide SQL showing an outer join to the mapping and how to surface unmapped events for remediation.
MediumTechnical
0 practiced
Create a SQL pattern using NOT EXISTS to find products whose last price update predates their first sale (possible data issue). Tables: product_price(product_id, price, updated_at), sales(sale_id, product_id, sale_date). Explain why NOT EXISTS is preferred over NOT IN in this context.
EasyTechnical
0 practiced
A BI dashboard shows daily active users by acquisition channel. The user acquisition table contains channel_id but some rows have NULL channel_id. Describe two SQL approaches to attribute those users: map NULL to 'Unknown' using COALESCE, or join to a channel mapping table allowing NULL match. Provide example queries and discuss downstream implications for trend analysis.
MediumTechnical
0 practiced
A query joining customers and subscriptions must show the most recent subscription per customer. Give two implementations: (A) using DISTINCT ON or window functions, and (B) by joining to a pre-aggregated table of latest subscription_id per customer. Discuss pros/cons in terms of maintainability and query performance for BI dashboards.
HardTechnical
0 practiced
You have sales and promotions tables. A promotion applies to orders where sale_date BETWEEN promo_start AND promo_end and promo_region = sale_region. Write a performant ANSI SQL query that joins promotions to sales using both equality and range conditions. Discuss indexing strategies for this mix of equi and range predicates.

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