A Ruby DSL for serializing objects with built-in caching and ActiveRecord query optimization.
Kashmir is a Ruby DSL that simplifies object serialization and caching. It allows developers to define how Ruby objects should be represented as hashes, with built-in support for nested structures, ActiveRecord query optimization, and smart caching strategies. It solves the problem of efficiently exposing object data while preventing N+1 queries and managing cache dependencies.
Ruby developers, particularly those using ActiveRecord in Rails applications, who need to serialize complex object graphs for APIs or other client-facing interfaces with performance and caching in mind.
Developers choose Kashmir for its integrated approach to serialization and caching, its ability to optimize ActiveRecord queries automatically, and its flexible DSLs that reduce boilerplate while keeping sensitive data secure through field whitelisting.
Kashmir is a Ruby DSL that makes serializing and caching objects a snap.
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Only explicitly declared fields can be serialized, preventing accidental exposure of sensitive data like passwords, as shown in the basic representations example where fields must be whitelisted.
Automatically preloads ActiveRecord associations to avoid N+1 queries, optimizing database hits, demonstrated in the ActiveRecord section where queries are balanced.
Caches each level of the dependency tree separately, allowing efficient cache management and the ability to fill cache gaps from the data store, as described in the caching section.
Offers multiple DSLs like Kashmir::Dsl and Kashmir::InlineDsl for expressive syntax that reduces boilerplate, making it easier to define nested and complex representations.
The caching module is marked as experimental in the README, which indicates it may be unstable, lack thorough testing, or have breaking changes in future updates.
Primarily designed for ActiveRecord, making it less suitable for projects using other ORMs or plain Ruby objects without ActiveRecord associations, limiting its versatility.
Enabling caching requires manual configuration with a cache client, such as Memcached, adding overhead and complexity compared to drop-in serialization solutions.