aws / aws/aws-durable-execution-sdk-java

[Feature]: Exit gracefully with PENDING when a checkpoint response has no CheckpointToken

Abierto
#706 1 comentario 0 reacciones 0 asignados Reclamado por @hln33 Ver en GitHub
enhancement needs-triage pkg:sdk project
Lenguaje dominante
Java
Estrellas
28
Forks
11
Merge medio
1 d 10 h
PR fusionados (30 d)
45

Descripción

### What would you like?

When a checkpoint response arrives without a `CheckpointToken`, the SDK should treat it as a signal that the service will accept no further checkpoints from this invocation. The SDK should stop issuing checkpoints and end the invocation cleanly with `Status: PENDING`.

Why PENDING and not FAILED or a thrown error:
- A missing token does not mean the execution is finished. It means this invocation cannot make further progress. The invocation result must not claim the execution finished.
- A thrown error is an invocation failure. Lambda retries it, but the retry has no valid token and can do nothing useful. It also puts an error in customer logs for a condition the SDK understood.
- PENDING is already what the SDK returns for every suspend (wait, scheduled retry, pending callback). This is a suspend: the invocation is done for now and the execution continues later.

### Current behavior

`CheckpointManager.java` assigns the response token unconditionally:

```java
checkpointToken = response.checkpointToken();
```

So after a response with no token, `checkpointToken` is null. The next checkpoint call passes null to the client. The outcome is either a client-side parameter validation exception or a service `InvalidParameterValueException: Invalid checkpoint token` rejection; I have not verified which. A client-side exception is not an `AwsServiceException`, so `DurableApiErrorClassifier.classifyException` never sees it and it propagates as-is. A service rejection is classified per #705: with that fix it is a retryable invocation error and the handler throws; without it, the execution fails. In no case does the SDK return PENDING.

### Possible Implementation

1. After the checkpoint call, if `response.checkpointToken()` is null, mark the manager as suspended-by-service, stop issuing further checkpoints, and complete any pending pollers so no thread blocks on a checkpoint that will never happen.
2. Route the outcome through the existing suspension path that returns `InvocationStatus.PENDING` (the same path used by waits and callbacks).
3. In-flight operations are abandoned, not checkpointed. On the next invocation they replay. This is correct for AT_LEAST_ONCE steps. AT_MOST_ONCE steps whose START landed in the last accepted checkpoint will not run again, which is the defined semantics of AT_MOST_ONCE.
4. Unit test: a checkpoint response with a null token produces `PENDING`, no further checkpoint calls, and no thrown exception.
5. Testing module: the local runner needs a way to omit the token on a chosen checkpoint so customers can test their handlers against this path.

### Is this a breaking change?

No. The SDK's response set is unchanged; a new internal termination reason is added.

### Additional Context

- Prerequisite: #705 (message-case bug in stale-token classification). That fix is the fallback path whenever the missing token is not detected, so it should land first.
- Sibling issues in the JS and Python SDKs are linked in a comment below.

Guía de contribución

Abrir la guía de contribución

Línea de trabajo

Comienza en CheckpointManager.java rastreando el procesamiento de las respuestas de checkpoint y la ruta de suspensión existente que devuelve InvocationStatus.PENDING. Revisa DurableApiErrorClassifier y el runner local del módulo de pruebas; después, añade cobertura que demuestre que un token null devuelve PENDING, no realiza más llamadas a checkpoints y no lanza ninguna excepción.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
java
Área
backend, testing
Tipo de issue
Nueva funcionalidad
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Activo
Claridad
Bien especificado
Aptitud para principiantes
68/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.