Query Design Patterns

In this section

• Designing Efficient SQL SELECT Queries
  Design efficient SQL SELECT queries with selective columns, useful filters, supporting indexes, and execution-plan awareness.
• SQL Pagination and Limiting Results
  Compare OFFSET/FETCH and keyset pagination in SQL so large result sets stay stable, fast, and user-friendly.
• Search-Optimized SQL Queries
  Optimize SQL search with full-text indexes, LIKE patterns, functional indexes, relevance ranking, and query-specific trade-offs.
• SQL Aggregate Functions and Grouping Sets
  Use SQL aggregate functions, GROUP BY, HAVING, and GROUPING SETS to summarize data without losing query clarity.
• SQL Window Functions and Ranking Data
  Use SQL window functions, ranking functions, OVER clauses, and window frames for running totals, moving averages, percentiles, and row-level analytics.
• Pivoting and Unpivoting Data in SQL
  Transform SQL result shapes with PIVOT, UNPIVOT, CASE expressions, and UNION ALL for reporting and analysis.
• Recursive Queries and Hierarchical Retrieval in SQL
  Use recursive CTEs in SQL to retrieve organizational charts, category trees, bills of materials, and other hierarchical data.
• Implementing Full-Text Search in SQL
  Implement SQL full-text search with text indexes, CONTAINS, FREETEXT, stemming, stopwords, and performance-aware query design.
• SQL Data Sampling and Approximation Techniques
  Use SQL data sampling and approximate aggregation when faster estimates are acceptable and full-table precision is too expensive.
• JSON and XML Data Handling in SQL
  Store, query, index, and validate JSON and XML in SQL while keeping semi-structured data boundaries clear.
• Geospatial Queries in SQL
  Query spatial data in SQL with geometry and geography types, distance calculations, spatial relationships, and spatial indexes.
• SQL Query Optimization Techniques
  Optimize SQL queries with execution plans, statistics, query rewrites, indexing decisions, and cautious use of optimizer hints.
• Dynamic Query Building in SQL: Techniques, Security, and Best Practices
  Build dynamic SQL safely with parameterized queries, stored procedures, runtime filters, and SQL injection controls.
• Managing Complex Joins and Subqueries in SQL
  Manage complex SQL joins and subqueries with CTEs, temporary tables, decomposition, aliases, and execution-plan review.
• SQL Views and Materialized Views
  Use SQL views and materialized views to abstract query logic, control access, improve read performance, and manage data freshness.
• SQL Query Anti-Patterns and How to Avoid Them
  Find and fix SQL query anti-patterns such as SELECT *, implicit conversions, non-SARGable predicates, and over-normalized joins.