Principle:Tensorflow Serving Static Path Source
| Knowledge Sources | |
|---|---|
| Domains | Model Serving, Source Management |
| Last Updated | 2026-02-13 00:00 GMT |
Overview
Static Path Source defines a minimal source that provides a single, hard-coded servable version without filesystem monitoring, suitable for testing and deterministic deployments.
Description
The Static Path Source principle provides the simplest possible implementation of the Source interface. While the FileSystemStoragePathSource continuously monitors a directory for new versions, StaticStoragePathSource fires its callback exactly once with a single predetermined version.
Design principles:
- Deterministic behavior: The source always provides exactly one version at a known path, making behavior predictable and reproducible.
- Zero overhead: No polling threads, no filesystem monitoring, no state management beyond the initial configuration.
- Single-fire callback: The aspired-versions callback is invoked exactly once when SetAspiredVersionsCallback is called, simplifying the lifecycle model.
- Configuration-driven: The servable name, version, and path are specified in a protobuf configuration.
Usage
Apply this principle for testing where deterministic model loading is needed, or for embedded/experimental deployments where a single fixed model version is served without version management.
Theoretical Basis
The Static Path Source implements the Null Object pattern for version monitoring: it fulfills the Source interface contract with minimal behavior. In the source chain architecture, it provides a fixed input to downstream adapters and managers, useful when the variability of filesystem-based sources is undesirable. This follows the principle of progressive complexity: start with the simplest source and upgrade to more complex sources (FileSystemStoragePathSource, custom sources) as requirements grow.