Backend Queries

Prevent SQL injection by using parameterized queries, which separate SQL logic from data values. Apply this across raw SQL and ORMs like Prisma, Sequelize, and ActiveRecord to ensure user input is never directly concatenated into query strings.

N+1 query problems occur when fetching a parent record triggers separate queries for each related child record. Fix this by using eager loading to fetch related data in a single query, significantly reducing database load and improving response time.

Optimize query performance by selecting only necessary columns, adding proper database indexes on frequently queried fields, using JOINs efficiently, and implementing result caching to avoid repeated identical queries against your database.

Yes, safe pagination and sorting work with parameterized queries by using parameters for LIMIT, OFFSET, and ORDER BY values, preventing injection attacks while maintaining query efficiency across ORMs and raw SQL.

Timeouts prevent long-running queries from blocking resources and degrading application performance. Transactions ensure multiple related queries execute atomically, maintaining data consistency and preventing partial updates if errors occur.

Yes, these optimization and security practices apply across database systems. Parameterized queries, indexing strategies, eager loading, and transaction patterns are supported in SQL databases and ORMs like Prisma, Sequelize, and ActiveRecord.