gRPC 8 RESOURCE_EXHAUSTED vs 14 UNAVAILABLE
Both gRPC 8 (RESOURCE_EXHAUSTED) and 14 (UNAVAILABLE) belong to the gRPC Status Codes category. 8 indicates that some resource has been exhausted, perhaps a per-user quota, or the entire file system is out of space. Meanwhile, 14 means that the service is currently unavailable. This is most likely a transient condition, which can be corrected by retrying with a backoff.
説明
Some resource has been exhausted, perhaps a per-user quota, or the entire file system is out of space.
このコードが表示される場合
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.
解決方法
Implement exponential backoff and retry. If quota-related, request a quota increase or optimize your usage pattern to stay within limits.
説明
The service is currently unavailable. This is most likely a transient condition, which can be corrected by retrying with a backoff.
このコードが表示される場合
The server is overloaded, shutting down, or a network partition occurred. This is the most common code to retry on, as it's explicitly transient.
解決方法
Retry with exponential backoff. If persistent, check the server health, load balancer configuration, and network connectivity between client and server.
主な違い
gRPC 8: Some resource has been exhausted, perhaps a per-user quota, or the entire file system is out of space.
gRPC 14: The service is currently unavailable. This is most likely a transient condition, which can be corrected by retrying with a backoff.
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.
You encounter 14 when the server is overloaded, shutting down, or a network partition occurred. This is the most common code to retry on, as it's explicitly transient.
どちらをいつ使うか
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. For 14 (UNAVAILABLE): Retry with exponential backoff. If persistent, check the server health, load balancer configuration, and network connectivity between client and server.