API Batch Requests
API batch requests combine multiple operations into a single HTTP request, and the server returns all results together. Batching reduces the number of round trips and connection overhead, which is especially valuable for mobile clients and rate-limited APIs.
Technical Architecture & Deep-Dive
Providers such as Google, Salesforce Composite, and Microsoft Graph offer batch endpoints accepting a list of sub-requests. This helps when many records must be fetched or updated together.
Batching only works within one provider. When a screen needs data from several different APIs, edge aggregation performs the equivalent role across providers, issuing parallel upstream calls and returning a single combined response.
Key Architectural Benefits
Implement API Batch Requests at the Edge
Deploy lightweight API aggregation, edge caching, and secret injection in minutes without Docker containers or complex servers.
Frequently Asked Questions
Q:Is batching the same as API aggregation?
Batching groups operations for one provider. Aggregation combines responses from multiple different providers into one tailored payload.
Related Architecture Concepts
API Aggregation is the process of combining multiple distinct API calls into a single unified HTTP request. An intermediate edge gateway queries multiple upstream services in parallel, merges the returned data, and delivers a consolidated response to the client, drastically reducing mobile latency and network overhead.
Subrequest limits are caps imposed by edge and serverless platforms on how many outbound HTTP requests a single invocation can make. On Cloudflare Workers, each fetch to an upstream API counts as a subrequest, and plans define maximums per request.
The N+1 query problem occurs when code fetches a list of N items with one query, then makes an additional query for each item to load related data, resulting in N+1 total calls. It causes severe slowdowns in databases, GraphQL resolvers, and client-side API usage.