cool-mysql

You can configure dual read and write MySQL connection pools in Go to optimize query performance and enforce correctness. This approach separates traffic, directing SELECTs to read replicas and writes to the primary database for safer data access.

You can use named parameters in Go MySQL queries by utilizing @@param placeholders and template-driven syntax. This method interpolates values safely into your SQL templates, preventing injection issues while keeping query code flexible and readable.

Yes, you can cache MySQL SELECT query results in Go by configuring Redis, Memcached, or in-memory caches. This reduces database load by serving repeated read requests directly from the configured caching layer.

The best way to handle large batch inserts in Go is using automatic chunking. This feature splits massive insert operations into smaller, manageable batches, preventing database timeouts and ensuring reliable data insertion with minimal boilerplate.

You can map MySQL query results to Go structs automatically using strong typing features. This functionality maps database rows directly into structs, maps, slices, or JSON formats, reducing manual data conversion code.

You can manage database transactions with context in Go using patterns like GetOrCreateTxFromContext. This handles context management and transactional workflows, ensuring safe commits or rollbacks during complex multi-step database operations.