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Laravel Sql Dialect Laravel Package

plin-code/laravel-sql-dialect

A Laravel package for handling SQL dialects, helping you generate and adapt database-specific SQL across supported drivers. Useful when your application needs consistent query behavior across different database engines.

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Product Decisions This Supports

  • Standardizing cross-database SQL behavior: The package provides LikeOperator, YearExpression, and CsvValues so teams avoid hand-written LIKE patterns, YEAR()/EXTRACT raw SQL, and comma splitting. This supports roadmap work for multi-database support and reduces dialect-specific bugs.
  • AI-assisted development quality: v1.2.0 adds Laravel Boost guidelines that steer coding agents toward the package’s primitives and list supported drivers. This makes the package a stronger default in internal Laravel standards when teams use AI coding assistants.
  • Build vs buy: Adopt the package rather than maintaining in-house dialect conditionals and documentation. The new drift test keeps AI guidelines aligned with code, lowering the maintenance burden of internal guidance.
  • Use cases: Admin filters/search, reporting queries with date grouping, CSV/tag columns, apps targeting multiple database engines, and teams using Laravel Boost or coding agents that generate SQL.

When to Consider This Package

  • Consider it when the app uses raw SQL fragments or Eloquent queries that behave differently across supported database drivers.
  • Consider it when the team uses Laravel Boost or AI coding assistants and wants generated SQL to follow portable patterns.
  • Consider it when you want lightweight guardrails without making laravel/boost a hard dependency; Boost is suggested, not required.
  • Look elsewhere if the app uses a single database and has no raw SQL portability concerns, needs full DDL/migration abstraction, or requires broader query-builder portability than these helpers provide.

How to Pitch It (Stakeholders)

  • Executives: v1.2.0 is a low-risk developer-experience release with no runtime changes. It reduces portability rework and AI-generated SQL mistakes, making multi-database support more predictable.
  • Engineering: Adopt the helpers for LIKE, year extraction, and CSV handling. Boost discovers the guidelines via php artisan boost:install or php artisan boost:update --discover when the package is a direct requirement. A drift test fails CI if the guidelines name stale classes, methods, argument counts, or driver support.
  • Product management: Treat this as a developer productivity and quality investment, not a customer-facing feature. Success signals include fewer dialect-specific bugs, fewer raw SQL review comments, and smoother onboarding for teams using AI-assisted Laravel development.
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