Transport layer overhead from serialization, deserialization, and network transfers significantly impacts performance in large-scale analytics workloads.
Protobuf's compact binary format and numerical identifiers dramatically reduce payload size compared to JSON's verbose, text-based structure.
Protobuf is a serialization format that can be used with transport protocols like REST or gRPC, which combines it with HTTP/2 for efficiency.
OpenSearch uses an automated conversion pipeline to generate Protobuf definitions from OpenAPI specifications, ensuring REST and gRPC APIs evolve together.
Enable gRPC support for bulk, KNN, and search APIs by adding the gRPC port and host configuration to the OpenSearch YAML file.
Benchmark results show gRPC significantly improves throughput for KNN vector search and reduces P50 latency by over 22% for bulk ingestion.
Performance improvements stem from Protobuf's compact payload reducing network transfer time and HTTP/2's multiplexing enabling concurrent requests.
Use gRPC for high-throughput internal service communication like bulk ingestion, while REST remains ideal for simplicity, debugging, and broad compatibility.
Get involved with the OpenSearch project by contributing code, especially with Go, or by providing feedback on your experience with the gRPC implementation.
Jobs that call for the skills explored in this talk.