gRPC 5 NOT_FOUND vs 8 RESOURCE_EXHAUSTED
Both gRPC 5 (NOT_FOUND) and 8 (RESOURCE_EXHAUSTED) belong to the gRPC Status Codes category. 5 indicates that some requested entity was not found. For example, a file or directory that the RPC was supposed to operate on does not exist. Meanwhile, 8 means that some resource has been exhausted, perhaps a per-user quota, or the entire file system is out of space.
描述
Some requested entity was not found. For example, a file or directory that the RPC was supposed to operate on does not exist.
何时出现
The resource referenced in the request doesn't exist — such as looking up a user by ID that has been deleted or never created.
如何修复
Verify the resource identifier is correct. Ensure the resource was created before accessing it, or handle the not-found case gracefully in your client.
描述
Some resource has been exhausted, perhaps a per-user quota, or the entire file system is out of space.
何时出现
A rate limit was hit, a quota was exceeded, or the server ran out of memory/disk. Common with API rate limiting and resource quotas.
如何修复
Implement exponential backoff and retry. If quota-related, request a quota increase or optimize your usage pattern to stay within limits.
主要区别
gRPC 5: Some requested entity was not found. For example, a file or directory that the RPC was supposed to operate on does not exist.
gRPC 8: Some resource has been exhausted, perhaps a per-user quota, or the entire file system is out of space.
You encounter 5 when the resource referenced in the request doesn't exist — such as looking up a user by ID that has been deleted or never created.
You encounter 8 when a rate limit was hit, a quota was exceeded, or the server ran out of memory/disk. Common with API rate limiting and resource quotas.
何时使用哪个
For 5 (NOT_FOUND): Verify the resource identifier is correct. Ensure the resource was created before accessing it, or handle the not-found case gracefully in your client. For 8 (RESOURCE_EXHAUSTED): Implement exponential backoff and retry. If quota-related, request a quota increase or optimize your usage pattern to stay within limits.