数据版本控制系统与MatrixOne
Version Control System for Data with MatrixOne
AI总结：
本文提出基于MatrixOne的数据库数据版本控制方案，支持大规模数据集的克隆、分支、差异比较、合并与回退操作，实现高效的数据版本管理与工程化流程。
摘要：
人工智能的快速发展使数据成为现代软件系统的核心。随着数据项目日益复杂动态，数据版本控制变得至关重要。现有代码版本控制系统无法有效管理大规模数据，因其需加载整个数据集到内存进行差异和合并操作。本文提出基于MatrixOne的数据库数据版本控制系统，利用其不可变存储架构和多版本并发控制（MVCC）技术，实现大规模数据库表的Git-like操作。系统支持克隆、标签/分支、差异比较、合并和回退等完整版本控制操作，对千兆级数据集实现近乎即时的性能。该系统使数据工程师能够采用已建立的软件工程流程：创建分支进行隔离实验、提交拉取请求进行变更审查、高效安全地运行CI/CD流水线。开发环境中的变更与生产环境在数据完整性和计算资源上均隔离。经验证的变更可通过原子事务发布到生产环境，确保数据一致性并避免服务中断。
英文摘要：
The rapid advancement of artificial intelligence has elevated data to a cornerstone of modern software systems. As data projects become increasingly complex and dynamic, version control for data has become essential rather than merely convenient. Existing version control systems designed for source code are inadequate for large-scale data management, as they often require loading entire datasets into memory for diff and merge operations. Database systems, while providing robust data management capabilities, lack native support for version control operations such as diff and merge between data forks. We present a version control system for data implemented in MatrixOne, a cloud-native relational database system. Our system leverages MatrixOne's immutable storage architecture and multi-version concurrency control (MVCC) to enable git-like operations on database tables at scale. The system supports the complete spectrum of version control operations: clone, tag/branch, diff, merge, and revert, on terabyte-scale datasets with near-instantaneous performance. This version control system enables data engineers to adopt established software engineering workflows: creating branches for isolated experimentation, submitting pull requests for change review, and running CI/CD pipelines efficiently and safely. Changes in the development environment are isolated from production in both data integrity and computing resources. Verified changes can be published to production in atomic transactions, ensuring data consistency and avoiding service disruptions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
