Using field masks with Google APIs for partial response- Google Developers Blog
Apr 5, 2017

Summary
This post introduces and explains the concept of field masks in Google APIs. It details how field masks enable clients to request only specific fields from a resource, thereby reducing the amount of data transferred over the network. The post provides examples of how to use field masks with the Google APIs Client Library for Python and explains the benefits, such as improved performance and reduced bandwidth consumption, particularly for APIs that return large resources.
More from the gRPC and RPC Frameworks trail
- A unified API for AI model routing- Google Developers Blog
- Apigee Operator for Kubernetes and GKE Inference Gateway integration for Auth and AI/LLM policies- Google Developers Blog
- The agentic experience: Is MCP the right tool for your AI future?- Google Developers Blog
- Enterprise truth in action: Apigee API hub fueling powerful Developer Portals- Google Developers Blog
- Gemini Code Assist in Apigee API Management now generally available- Google Developers Blog