4 api runtime_error ai_generated partial

gRPC error: DEADLINE_EXCEEDED: Stream closed with deadline exceeded

ID: api/grpc-error-deadline-exceeded-streaming

Also available as: JSON · Markdown · 中文
80%Fix Rate
84%Confidence
1Evidence
2023-09-05First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
gRPC 1.50+ active
gRPC-Go 1.50+ active
gRPC-Java 1.50+ active
gRPC-Python 1.50+ active

Root Cause

A gRPC streaming RPC exceeded its configured deadline (timeout) due to slow server processing or network latency, causing the stream to be terminated.

generic

中文

gRPC 流式 RPC 因服务器处理缓慢或网络延迟而超过了配置的截止时间(超时),导致流被终止。

Official Documentation

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

Workarounds

  1. 85% success Set a reasonable deadline on the client and implement retries with backoff. Example in Go: ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second) defer cancel() stream, err := client.StreamingRPC(ctx, req) if err == context.DeadlineExceeded { // Implement retry logic time.Sleep(2 * time.Second) // Retry with new context }
    Set a reasonable deadline on the client and implement retries with backoff. Example in Go:
    ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
    defer cancel()
    stream, err := client.StreamingRPC(ctx, req)
    if err == context.DeadlineExceeded {
        // Implement retry logic
        time.Sleep(2 * time.Second)
        // Retry with new context
    }
  2. 80% success Optimize server-side processing to reduce latency, such as by using connection pooling or caching.
    Optimize server-side processing to reduce latency, such as by using connection pooling or caching.
  3. 75% success If network latency is high, use a gRPC proxy or consider deploying the server closer to the client.
    If network latency is high, use a gRPC proxy or consider deploying the server closer to the client.

中文步骤

  1. Set a reasonable deadline on the client and implement retries with backoff. Example in Go:
    ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
    defer cancel()
    stream, err := client.StreamingRPC(ctx, req)
    if err == context.DeadlineExceeded {
        // Implement retry logic
        time.Sleep(2 * time.Second)
        // Retry with new context
    }
  2. Optimize server-side processing to reduce latency, such as by using connection pooling or caching.
  3. If network latency is high, use a gRPC proxy or consider deploying the server closer to the client.

Dead Ends

Common approaches that don't work:

  1. 40% fail

    This only masks the issue; if the server is slow, the stream may still timeout or the client may hang indefinitely.

  2. 70% fail

    This can lead to resource leaks and hangs; also, the server may still enforce its own deadline.

  3. 60% fail

    This changes the API contract and may break functionality that relies on streaming.