8 repository-uri
Systems allowing interchangeable serialization strategies for different data formats.
Distinct from Object Serializers: Focuses on the pluggable interface for serialization rather than a specific object serializer implementation.
Explore 8 awesome GitHub repositories matching data & databases · Pluggable Serializers. Refine with filters or upvote what's useful.
RestSharp is a .NET HTTP client library designed for interacting with RESTful web services. It provides a high-level request wrapper and a dedicated REST API client to manage endpoints, headers, and query parameters. The library includes a serialization mechanism that automatically converts objects to and from JSON or XML formats for API payloads. It also features a system for managing API credentials and security tokens to ensure authorized access to protected remote resources. The toolkit covers broad capabilities for external web service integration, including generic type-based deseriali
Implements a pluggable serialization system to convert C# objects into JSON or XML formats.
Storm is a distributed stream processing framework and fault-tolerant compute engine designed for executing real-time continuous computations across a cluster of machines. It functions as a stateful stream processor and cluster topology manager, enabling the deployment and monitoring of distributed data flow configurations. The system ensures exactly-once semantics by utilizing transactional state management to guarantee that every message in a data stream is processed exactly one time. It further operates as a distributed RPC system, allowing for the integration of non-native languages throu
Allows definition of custom serialization and deserialization logic using pluggable factories.
kafka-python is a pure-Python client library for Apache Kafka that implements the Kafka wire protocol directly, without any native bindings or JVM dependencies. It provides the core capabilities of a Kafka client: producing messages to topics, consuming records from topics, and administering cluster resources such as topics and partitions, all through a Pythonic API or command-line tools. The library distinguishes itself through its comprehensive support for advanced Kafka features. It includes an asynchronous producer with background batching for throughput, a consumer group rebalance protoc
Applies user-supplied serializer and deserializer functions to message keys and values before network I/O.
Lettuce is a Redis client library for Java that provides synchronous, asynchronous, and reactive programming models for interacting with Redis databases. It supports standalone, cluster, sentinel, pub/sub, and search operations through a single thread-safe connection model that handles command execution without blocking the calling thread. The library distinguishes itself through its reactive streams integration with Project Reactor, enabling non-blocking, backpressure-aware data processing with Mono and Flux types. It offers cluster slot routing that transparently handles MOVED and ASK redir
Transforms Java objects to Redis wire format through configurable serializers supporting UTF-8, JSON, and binary encoding.
JetCache este un framework de caching Java care oferă o interfață unificată pentru gestionarea datelor aplicației. Funcționează ca un manager de cache pe două niveluri, coordonând stocarea locală în memorie și cache-urile distribuite la distanță pentru a reduce latența rețelei și a îmbunătăți viteza de recuperare. Proiectul se distinge prin biblioteca sa de caching declarativ, care utilizează adnotări pentru a automatiza stocarea, expirarea și invalidarea rezultatelor metodelor. Include un sincronizator de cache distribuit pentru a menține consistența prin invalidarea intrărilor locale în instanțele clusterului și un instrument de blocare distribuită pentru a coordona accesul la resursele partajate. Framework-ul acoperă o gamă largă de capabilități de performanță și stabilitate, inclusiv recuperarea asincronă non-blocantă, reîmprospătarea automată a cache-ului în fundal și colapsarea cererilor pentru a preveni penetrarea cache-ului. De asemenea, oferă gestionare programatică a cache-ului, strategii de serializare pluggable și funcționalități de securitate precum filtrarea deserializării prin allow-list.
Allows custom key conversion and value encoding implementations to decouple data storage from specific object formats.
go-restful este un framework pentru construirea de servicii web RESTful în Go. Funcționează ca un toolkit pentru gestionarea endpoint-urilor API, oferind un router de cereri care mapează cererile HTTP primite către funcții handler folosind parametri de cale și tipare URL personalizate. Framework-ul include un strat de conversie a datelor care transformă structurile Go în formate JSON sau XML pentru corpurile cererilor și răspunsurilor. Oferă, de asemenea, un sistem pentru organizarea serviciilor web conexe în containere, pentru a gestiona prefixarea endpoint-urilor și configurarea partajată. Proiectul acoperă gestionarea ciclului de viață al cererilor prin filtre middleware pentru validare și autentificare, precum și gestionarea headerelor de tip cross-origin resource sharing (CORS). Capabilitățile suplimentare includ compresia payload-ului folosind gzip sau deflate și middleware de recuperare după panică pentru a returna răspunsuri de eroare standardizate.
Supports interchangeable serialization strategies via registered readers and writers for different data formats.
FusionCache is a hybrid distributed caching library that coordinates local memory and distributed storage to balance access speed with global consistency. It functions as a resilient data access layer, utilizing a pluggable serialization framework to convert cached objects into various binary or text formats for compatibility across diverse storage environments. The system maintains cluster consistency through a distributed cache synchronizer that propagates invalidations and state updates across multiple nodes via a shared messaging backplane. It improves reliability by serving stale cache d
Provides a pluggable interface for interchangeable serialization strategies to meet diverse storage environment requirements.
This project is a programmatic client for managing the lifecycle of documents within a distributed JSON search engine. It provides an Elasticsearch search client for indexing documents and performing complex queries, alongside a low-level client that acts as a flexible wrapper for sending raw HTTP requests to a cluster. The client features a fluent request builder that maps typed requests to REST API endpoints and a generic mapping layer to transform JSON responses into strongly typed objects. It employs a pluggable serialization mechanism to decouple the request-response lifecycle from speci
Employs a configurable, pluggable serialization mechanism to transform requests and responses into JSON.