8 communication resource_error ai_generated true

grpc::RESOURCE_EXHAUSTED: gRPC 调用失败,状态码 8

grpc::RESOURCE_EXHAUSTED: gRPC call failed with status code 8

ID: communication/grpc-resource-exhausted

其他格式: JSON · Markdown 中文 · English
85%修复率
88%置信度
1证据数
2023-11-05首次发现

版本兼容性

版本状态引入弃用备注
gRPC 1.62 active
gRPC-go v1.65 active
gRPC-java 1.64 active
envoy 1.30 active

根因分析

gRPC 服务器或客户端耗尽了内存、文件描述符或并发流限制,通常是由于流泄漏或传输层资源配额不足导致。

English

gRPC server or client exhausts memory, file descriptors, or concurrent stream limits, often due to stream leakage or insufficient resource quotas in the transport layer.

generic

官方文档

https://grpc.github.io/grpc/core/md_doc_statuscodes.html

解决方案

  1. Increase the gRPC server's maximum concurrent streams: set `GRPC_ARG_MAX_CONCURRENT_STREAMS` to a higher value (e.g., 1000) and restart the server. Also monitor `grpc.server.streams` metric.
  2. Add client-side connection pooling: reuse gRPC channels and limit the number of concurrent calls per channel using a semaphore or rate limiter.
  3. Configure Envoy proxy to set `max_requests_per_connection` and `circuit_breakers` limits to prevent client-side resource exhaustion from overwhelming the gRPC server.

无效尝试

常见但无效的做法:

  1. Increase server memory and restart 70% 失败

    The issue is often not raw memory but stream limit exhaustion (e.g., MAX_CONCURRENT_STREAMS). More memory doesn't increase stream quotas.

  2. Set grpc.max_receive_message_size to a very high value (e.g., 500MB) 90% 失败

    This error is about connection-level resources, not message size. Changing message size doesn't address stream or FD exhaustion.

  3. Disable keepalive pings in gRPC client 80% 失败

    Keepalive pings help detect dead connections and actually reduce resource leaks. Disabling them makes the problem worse.