cache-expert

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Original

English

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Cache Expert

缓存专家

High-Level Architecture

高层架构

The Dagger Engine serves a GraphQL-based API for building and executing DAG workflows.

Each operation takes immutable objects/scalar values as inputs and produces an immutable object/scalar value as output. "Mutability" is simulated as a DAG of these operations on immutable values, similar to functional programming.

This enables caching: since inputs are immutable and operations are deterministic, cache keys can be derived from the operation and its inputs.

DAGs of operations can be serialized as IDs, which have associated digests that serve as the operations' cache keys.

Dagger Engine 提供基于GraphQL的API，用于构建和执行DAG工作流。

每个操作均以不可变对象/标量值作为输入，并生成不可变对象/标量值作为输出。“可变性”通过在不可变值上构建此类操作的DAG来模拟，类似于函数式编程。

这为缓存提供了可能：由于输入是不可变的，且操作具有确定性，因此可以从操作及其输入派生缓存键。

操作的DAG可以序列化为ID，这些ID关联的摘要可作为操作的缓存键。

Quick Reference

快速参考

Jump to the right doc for your task:

Task	Read
Understand how IDs encode operations and digests	ids.md
Understand cache-relevant dagql execution flow	dagql-api-server.md
Understand base/session cache storage and lifecycle	cache-storage.md
Debug cache misses and cache behavior regressions	debugging.md
Understand filesync cache behavior	filesync.md

跳转到适合你任务的文档：

任务	阅读文档
了解ID如何编码操作和摘要	ids.md
了解与缓存相关的dagql执行流程	dagql-api-server.md
了解基础/会话缓存存储与生命周期	cache-storage.md
调试缓存未命中和缓存行为回归问题	debugging.md
了解文件同步缓存行为	filesync.md

Core References

核心参考资料

To build cache expertise, read these in order:

ids.md - How IDs and digests define cache identity
dagql-api-server.md - How
```
Select
```
/
```
preselect
```
/
```
call
```
drive cache usage
cache-storage.md - How results are stored, indexed, released, and persisted

要掌握缓存相关知识，请按以下顺序阅读：

ids.md - ID和摘要如何定义缓存标识
dagql-api-server.md -
```
Select
```
/
```
preselect
```
/
```
call
```
如何驱动缓存使用
cache-storage.md - 结果如何存储、索引、释放和持久化

Optional References

可选参考资料

Load on-demand for specific tasks:

debugging.md - Practical debugging loop and instrumentation points
filesync.md - Host filesystem sync internals and filesync cache model

针对特定任务按需阅读：

debugging.md - 实用调试流程和工具集成点
filesync.md - 主机文件系统同步内部机制和文件同步缓存模型