microsoft / microsoft/durabletask-python

Consider lazy durable entity state serialization semantics

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Lenguaje dominante
Python
Estrellas
40
Forks
33
Merge medio
2 d 2 h
PR fusionados (30 d)
6

Descripción

Summary

Durable entity state is currently serialized eagerly when set_state() is called. This snapshots the value immediately, so mutations made to the same Python object after set_state() do not affect the state eventually persisted at the end of the operation.

state = Point(1)
self.set_state(state)
state.value = 99

The persisted state is Point(1), not Point(99).

This may surprise Python users who expect ordinary reference semantics and could introduce subtle bugs when entity code mutates an object after passing it to set_state().

Scope

The behavior is implemented in the core durabletask entity StateShim, so it affects core durabletask entities and providers built on it, including durabletask-azuremanaged and azure-functions-durable.

Current rationale

Eager serialization was introduced intentionally to:

  • surface serialization errors inside the operation that called set_state();
  • preserve per-operation rollback behavior in an entity batch;
  • retain the original serialized wire payload when state is unmodified; and
  • prevent mutations to values returned by get_state() from implicitly changing persisted state without a corresponding set_state().

Design question

Should set_state() retain the live value and defer serialization until successful operation completion, so mutations made after set_state() but before the operation returns are persisted?

If so, the design needs to define:

  • whether get_state() after set_state() returns the same pending live object or a reconstructed copy;
  • where serialization occurs so serialization failures still fail and roll back the current operation;
  • behavior across multiple operations in one entity batch;
  • compatibility implications of changing set_state() from snapshot-at-call semantics to retain-reference-until-commit semantics; and
  • consistency with Durable Entity semantics in other language SDKs.

Suggested investigation

  • Compare mutation semantics with other Durable Entity SDKs.
  • Prototype deferred serialization at the operation commit boundary.
  • Add tests for post-set_state() mutation, serialization failure, rollback, deletion, unmodified wire payloads, and multiple operations in one batch.
  • Document the current requirement to perform mutations before the final set_state() call unless the behavior changes.

Guía de contribución

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Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Comience con la entidad principal de Durable Task, StateShim, y trace cómo set_state(), get_state(), la finalización de operaciones, el rollback y la eliminación gestionan actualmente el estado serializado. Compare la semántica de mutación con otros Durable Entity SDKs antes de decidir si la serialización diferida es adecuada. Añada cobertura para la mutación posterior a set_state, los fallos de serialización, el rollback, la eliminación, las wire payloads sin cambios y varias operaciones en un mismo batch.

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

Evaluación

Stack tecnológico
python
Área
backend
Tipo de issue
Nueva funcionalidad
Dificultad
5/5
Tiempo estimado
Más de una semana
Estado de actividad
Tranquilo
Claridad
Necesita aclaración
Aptitud para principiantes
30/100

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