$ show apache/seatunnel
Apache SeaTunnel is a high-performance, distributed data integration platform designed for synchronizing vast amounts of data across diverse sources and sinks. It provides a unified framework for batch and stream processing with support for Change Data Capture (CDC), schema evolution, and multi-engine execution (SeaTunnel Zeta, Flink, Spark). The platform features a plugin-based architecture with over 160 connectors for databases, message queues, cloud services, and file systems, along with a web-based UI for job monitoring, CLI tools for job submission, and SDKs for programmatic access. Enterprises like JP Morgan, Tencent Cloud, and Bytedance use it for production data integration workloads.
The LLM identified 5 files worth highlighting for reuse:
Defines the core Source interface for data ingestion, enabling pluggable connector implementations. Demonstrates clean API design with clear lifecycle methods (prepare, open, close) and split-based parallelism model. Highly reusable as the foundation for all source connectors.
Defines the core Sink interface for data egress, following the same plugin pattern as Source. Includes support for save modes, multi-table operations, and schema evolution. Reusable across all sink connector implementations with clear separation of concerns.
Main server implementation that coordinates job execution using Hazelcast for distributed state management. Provides REST API endpoints for job submission, monitoring, and cluster management. Demonstrates solid distributed systems principles with clear separation between API layer and execution engine.
English localization file for the Vue.js-based web UI. Part of a well-implemented i18n system supporting multiple languages. Shows attention to user experience and accessibility in the management interface.
Python client for interacting with the SeaTunnel engine's REST API. Provides convenient methods for job submission, monitoring, and management. Well-structured with proper error handling and clear separation of concerns.