RESOURCE_EXHAUSTED api resource_error ai_generated partial

gRPC 错误：RESOURCE_EXHAUSTED：超出速率限制

gRPC error: RESOURCE_EXHAUSTED: rate limit exceeded

ID: api/grpc-resource-exhausted-rate-limit

其他格式: JSON · Markdown 中文 · English
82%修复率
88%置信度
1证据数
2024-06-10首次发现

版本兼容性

版本状态引入弃用备注
gRPC 1.62.0 active — — —
Envoy 1.29.0 active — — —
Istio 1.20.0 active — — —
gRPC-Go 1.62.0 active — — —

根因分析

gRPC 服务器因客户端超出配置的速率限制而拒绝请求，通常由于激进的重试或高并发导致。

English

The gRPC server rejected the request because the client exceeded the configured rate limit, often due to aggressive retries or high concurrency.

generic

官方文档

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

解决方案

  1. Implement exponential backoff with jitter in the gRPC client. Example in Go: `backoff := grpc.WithBackoffMaxDelay(5 * time.Second); conn, err := grpc.Dial(target, backoff)`.
  2. Reduce concurrency by limiting the number of in-flight gRPC streams using a semaphore or connection pool. For example, use a channel-based worker pool in Go.
  3. Contact the API provider to request a higher rate limit or check the Retry-After header in the gRPC trailing metadata for a suggested wait time.

无效尝试

常见但无效的做法:

  1. 80% 失败

    Without exponential backoff, retries are sent immediately, consuming more quota and causing cascading failures.

  2. 90% 失败

    Removing rate limits exposes the server to abuse and performance degradation.

  3. 60% 失败

    Rate limits are often enforced at the service level regardless of protocol; REST endpoints may have similar or stricter limits.