弄清箭头的含义
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Data Architect 第 9 章,第 2 部分:大规模架构。上一章:查询与检索架构。
在一个互联的 org 里,大多数数据质量问题都是通过集成进来的。缺少键导致的重复。一个悄悄停止运行的批处理留下的过时值。被一个本不该写入的系统覆盖的字段。数据架构师不必亲手构建集成。但数据架构师要决定它被允许对数据做什么。

Image generated with AI. ⟲
所以这一章是一份拼盘:让数据架构师尝尝集成的味道,正餐在 Integration Architect 课程里。它从第 4 章停下的地方开始:全景图上的每个箭头都需要一种机制。现在,每个箭头都需要含义。
本章的思想
Section titled “本章的思想 ”- Zoom out, then zoom in. Start with the whole landscape, then take one arrow at a time and ask what it means to the data. ⟲
- **了解集成架构师在计划什么,**即使构建它的是别人。流量的形状会改变数据设计。
- **谁发起对话,不等于数据往哪个方向流动,**而且只有客户端能看到完整的往返。
- Freshness is a requirement, not a default. And a database stores; a process calls: polling needs a process, and polling for nothing is waste. ⟲
- Singles, sets or bulk: respect the zeros. Integration volume becomes data volume. ⟲
- One key per record, one-to-one, in an External ID field marked unique. When one customer has several external records, add records, not fields: a hierarchy, peers or a child object (chapter 6), never a key field per system. ⟲
- A key isn’t authority. Integrations write the fields their system owns, not “the Account.” Two-way movement still has one owner per field. ⟲
- Proof of delivery: the client owns the conversation; whoever knows what should arrive proves that it did. Log every call, restart gracefully, retry safely, and send increments, not the universe. ⟲
- **平台事件是骨干;出站消息是遗留功能,**仍受支持,但不是新设计的起点。
- Every important arrow gets a contract, written before the mechanism is chosen, and it outlives the technology. ⟲
集成数据契约
Section titled “集成数据契约 ”Every important arrow gets one, eleven lines: ⟲
| Line | The decision |
|---|---|
| 发起方 | 谁发起对话? |
| 数据方向 | 业务数据往哪个方向流动? |
| Freshness | How current must the data be, in a number? |
| Volume and shape | How much, and as singles, sets or bulk? |
| Key | How do we identify the same record across systems? |
| Write authority | Which system owns, and may write, which fields? |
| Pattern | Request and reply, fire and forget, batch, or events? |
| 机制 | 用什么来实现? |
| Proof of delivery | Who proves it arrived, and owns recovery? |
| Sensitivity and travel | How sensitive is the data, and where does it pass through? |
| Change | How does the contract change without breaking the other side? |
本章的路线
Section titled “本章的路线 ”四个模块,每个都可以单独阅读。
- Before the Arrow. Steve Trucking’s landscape, then one arrow: who starts it and which way the data moves, how current, polling or listening, singles, sets and bulk, and what happens when it fails. ⟲
- Keys and Write Ownership. One key per record, upsert and safe retries, add records not fields, field-level authority, and loops. ⟲
- Proof of Delivery. Who proves it arrived, the integration log, restarts and retries, the return receipt, the four shapes and monitoring. ⟲
- The Integration Data Contract. Nine contracts on the landscape, one line by line; requirement, then pattern, then mechanism; the standard API or your own; where the data travels; and when the contract says don’t move it. ⟲
Not moving data at all (Salesforce Connect, mashups, zero copy) is chapter 14, Virtualization, Federation, and Zero-Copy (coming soon). ⟲
架构师在这里决定什么
Section titled “架构师在这里决定什么 ”- What each arrow means: initiator, direction, freshness, volume. ⟲
- **记录如何在各系统之间保持匹配,**以及谁可以修改哪些字段。
- 每一次数据流动由谁证明完整性、由谁负责恢复。
- 数据到底该不该流动。
**考试之外:**智能体的每条读写路径都是一个集成箭头。一个“更新客户”的智能体需要一个键、一份范围很窄的写入契约、安全的重试和可观测性,因为一个概率性的调用方正在调用确定性的企业操作。每个模块的结尾都会讲 AI 带来了什么改变。
- Salesforce Architects, Data Integration with Salesforce (在新标签页中打开) (decision guide), checked 2026-11-01. ⟲
- Salesforce Architects, Integration Patterns (在新标签页中打开), checked 2026-11-01. ⟲
- Salesforce, Best Practices for Deployments with Large Data Volumes (在新标签页中打开), Winter ‘27, checked 2026-11-01. ⟲
下一章:迁移与同步
