gRPC

gRPC 10 ABORTED vs 15 DATA_LOSS

Both gRPC 10 (ABORTED) and 15 (DATA_LOSS) belong to the gRPC Status Codes category. 10 indicates that the operation was aborted, typically due to a concurrency issue such as a sequencer check failure or transaction abort. Meanwhile, 15 means that unrecoverable data loss or corruption has occurred.

Descrição

The operation was aborted, typically due to a concurrency issue such as a sequencer check failure or transaction abort.

Quando você o vê

A transaction or optimistic concurrency check failed — for example, a read-modify-write cycle detected a conflict with another concurrent operation.

Como corrigir

Retry the entire read-modify-write sequence from the beginning. Implement proper optimistic concurrency control with version tokens or ETags.

Descrição

Unrecoverable data loss or corruption has occurred.

Quando você o vê

Critical data was lost or corrupted — for example, a checksum mismatch during transmission or an unrecoverable storage failure on the server.

Como corrigir

Investigate the data integrity failure immediately. Restore from backups if available, and check for hardware failures or network corruption in the data path.

Diferenças principais

1.

gRPC 10: The operation was aborted, typically due to a concurrency issue such as a sequencer check failure or transaction abort.

2.

gRPC 15: Unrecoverable data loss or corruption has occurred.

3.

You encounter 10 when a transaction or optimistic concurrency check failed — for example, a read-modify-write cycle detected a conflict with another concurrent operation.

4.

You encounter 15 when critical data was lost or corrupted — for example, a checksum mismatch during transmission or an unrecoverable storage failure on the server.

Quando usar qual

For 10 (ABORTED): Retry the entire read-modify-write sequence from the beginning. Implement proper optimistic concurrency control with version tokens or ETags. For 15 (DATA_LOSS): Investigate the data integrity failure immediately. Restore from backups if available, and check for hardware failures or network corruption in the data path.

Saiba mais