GRPC_MAX_CONCURRENT_STREAMS
grpc
resource_error
ai_generated
partial
INTERNAL: gRPC: 服务器上最大并发流超出:128 个活动流,限制 100
INTERNAL: grpc: max concurrent streams exceeded on server: 128 active streams, limit 100
ID: grpc/max-concurrent-streams-exceeded
82%修复率
84%置信度
1证据数
2023-09-05首次发现
版本兼容性
| 版本 | 状态 | 引入 | 弃用 | 备注 |
|---|---|---|---|---|
| gRPC-go v1.58.0 | active | — | — | — |
| gRPC-java v1.57.0 | active | — | — | — |
| C-core v1.58.0 | active | — | — | — |
根因分析
gRPC 服务器已达到配置的最大并发流数(许多实现中默认 100),由于资源耗尽而拒绝创建新流。
English
The gRPC server has reached its configured maximum number of concurrent streams (default 100 in many implementations) and rejected new stream creation due to resource exhaustion.
官方文档
https://grpc.io/docs/guides/performance/#streams解决方案
-
Increase the max concurrent streams limit in server configuration. In Go: server := grpc.NewServer(grpc.MaxConcurrentStreams(200)). In Java: NettyServerBuilder.forPort(port).maxConcurrentCallsPerConnection(200).
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Enable client-side connection multiplexing by setting grpc.initial_conn_window_size to a higher value (e.g., 1MB) and use a load balancer to distribute streams across multiple server connections.
-
Implement stream pooling or batching on the client: instead of opening one stream per request, use client-side streaming to send multiple messages over a single stream, reducing the total stream count.
无效尝试
常见但无效的做法:
-
80% 失败
Simply increasing the limit without addressing slow consumers or long-lived streams can lead to memory exhaustion and OOM kills.
-
75% 失败
Adding more server instances without adjusting client connection pooling may cause clients to still hit per-connection limits on each instance.