grpc protocol_error ai_generated true

INTERNAL: grpc: compression algorithm negotiation failed

ID: grpc/compression-negotiation-failed

Also available as: JSON · Markdown · 中文
75%Fix Rate
82%Confidence
1Evidence
2023-09-20First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
gRPC C++ 1.45+ active — — —
gRPC Go 1.45+ active — — —
gRPC Python 1.45+ active — — —

Root Cause

Client and server do not support a common compression algorithm; client sends a message with an unsupported algorithm or server rejects the proposed algorithm during handshake.

generic

中文

客户端和服务器不支持共同的压缩算法；客户端发送的消息使用了不支持的算法，或者服务器在握手期间拒绝了提议的算法。

Official Documentation

https://grpc.io/docs/guides/compression/

Workarounds

  1. 90% success Ensure both client and server use the same compression algorithm. Set client-side: grpc.WithDefaultCallOptions(grpc.UseCompressor("gzip")) in Go. On server, register compressor: import "google.golang.org/grpc/encoding/gzip" 
    Ensure both client and server use the same compression algorithm. Set client-side: grpc.WithDefaultCallOptions(grpc.UseCompressor("gzip")) in Go. On server, register compressor: import "google.golang.org/grpc/encoding/gzip"
  2. 80% success Upgrade gRPC libraries to latest versions to support modern compression algorithms like gzip or snappy. In Python: pip install grpcio==1.60.0 and set grpc.Compression.Gzip 
    Upgrade gRPC libraries to latest versions to support modern compression algorithms like gzip or snappy. In Python: pip install grpcio==1.60.0 and set grpc.Compression.Gzip

中文步骤

  1. Ensure both client and server use the same compression algorithm. Set client-side: grpc.WithDefaultCallOptions(grpc.UseCompressor("gzip")) in Go. On server, register compressor: import "google.golang.org/grpc/encoding/gzip"
  2. Upgrade gRPC libraries to latest versions to support modern compression algorithms like gzip or snappy. In Python: pip install grpcio==1.60.0 and set grpc.Compression.Gzip

Dead Ends

Common approaches that don't work:

  1. Enabling all compression algorithms on both sides 35% fail

    May increase memory usage and latency; also some algorithms (e.g., deflate) are deprecated and may cause interoperability issues.

  2. Disabling compression entirely 25% fail

    Increases bandwidth usage; may not be acceptable for high-volume services.