XXL-JOB is a distributed task scheduling framework designed for rapid development, simplicity, and lightweight operation. It consists of a scheduler center (admin) and multiple executors. The admin provides a web UI for CRUD job management, scheduling (cron, fix rate, fix delay), routing strategies (first, last, round, random, consistent hash, LFU, LRU, failover, busyover, sharding broadcast), misfire handling, alarm (email), and monitoring. Executors run on any JVM and communicate with the admin via Netty-based HTTP RPC. The framework supports BEAN (annotated methods), GLUE (online Groovy/script editing), script tasks (Shell, Python, PHP, NodeJS, PowerShell), HTTP tasks, and AI tasks (Ollama, Dify, OpenClaw). It includes an OpenAPI for cross-language integration, user management with role-based permissions, and Docker deployment. The architecture is modular: xxl-job-core provides the executor runtime and shared interfaces, xxl-job-admin is the Spring Boot admin application, and sample executors demonstrate integration. External dependencies include MySQL (persistence), Netty (executor server), Groovy (glue tasks), and Spring Boot. The framework is production-ready with HA support for both scheduler and executor clusters.
Apache ShardingSphere ElasticJob is a distributed job scheduling framework providing elastic sharding, failover, misfire handling, and lifecycle management. It is a Java library that can be embedded in applications or used via Spring Boot auto-configuration. The system coordinates jobs across multiple nodes using a registry center (ZooKeeper, etcd, Nacos, or in-memory). It supports multiple job types (simple, dataflow, script, HTTP) and provides RESTful admin APIs, event tracing, and error notification. The architecture is modular with clear SPI-based extensibility for job executors, error handlers, tracing listeners, and registry center providers. The codebase is well-engineered with extensive tests, but retains some legacy integration paths (Spring XML namespace) and tight coupling to ZooKeeper in core modules.