【产品公告牌 2025.05.09】ODC V4.3.4 正式发布！三大核心升级，解锁数据开发新体验！

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ODC 目前已经是一款功能相对丰富的企业级协同开发工具，虽然提供了完善的管控协同能力，但是用户在如何启用这套机制上仍遇到不少痛点。为此，ODC 团队经过数月研发与测试，推出了 4.3.4 版本，旨在解决这些问题。本迭代共完成需求 30+ ，重点增强了以下三个功能领域：

1. 快速上手：引入工作台，涵盖定时任务概览、快速入门指南、最近访问数据库、关于我们、最佳实践五个模块，帮助用户迅速了解 ODC 的核心服务。同时改进了空对象流程引导、全局搜索、定位键、数据库分组等功能。

2. 配置中心：升级了配置中心，新增个人和团队空间配置。同时定义了各配置级别（空间级别、环境级别、用户级别、功能级别）的依赖关系、应用场景及优先级。此外还新增了 6 个空间级别配置项，以满足客户需求。

3. 功能升级：支持物化视图管理，数据归档现支持多表关联，分区计划支持 INT/Char 分区字段类型顺序递增的分区创建方式，并实现了无锁结构变更下的删除列 DDL 操作。

如需了解更多版本信息，详情参见：ODC 4.3.4 Release Notes

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[Issue 2025-05-09] ODC 4.3.4 Official Release!

We are excited to announce the official release of ODC v4.3.4, featuring three major upgrades to unlock a brand-new data development experience!

As a mature enterprise-grade collaborative development tool, ODC already offers robust control and collaboration capabilities. However, users have encountered challenges in fully adopting and enabling these features. After months of development and testing, the ODC team is proud to deliver version 4.3.4, designed specifically to address these issues. This release includes over 30 feature enhancements, with key improvements in the following areas:

• Getting Started Faster

  • The new landing page helps users quickly familiarize themselves with ODC’s core services. It includes modules such as Scheduled Job Overview, Quick Start Guide, Recently Accessed Databases, About Us, and Best Practices. Additional improvements have been made to guided workflows for empty objects, global search, locator keys, and database grouping.

• Configuration Center Upgrades

  • The Configuration Center has been upgraded to support both personal and team workspace configurations. This release also defines the dependencies, use cases, and priority hierarchy across configuration scopes, including workspace-level, environment-level, user-level, and feature-level configurations. Six new workspace-level configuration items have been added to better meet customer needs.

• Feature Enhancements

  • Added support for materialized view management.

  • Data archiving now supports multi-table joins.

  • Partitioning plans support incremental partition creation based on INT or CHAR type partition keys.

  • The drop column operation is now supported under online schema change.

For more information about this release, see the full release notes.

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