[coverage] Conformance findings: CLOUDFETCH-018
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Evaluación
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Aptitud para principiantes
- 55/100
Línea de trabajo
Comienza con el test xfail test_link_fetch_failure_surfaces_terminal_error en el diff del PR de cobertura bajo tests/ y luego compara el comportamiento previsto con el PR de referencia #322. Ejecuta el escenario del protocolo con un resultado en varios chunks y un fallo persistente de Thrift en FetchResults. Se considera terminado cuando el primer drain lanza una excepción en un plazo de 180 segundos y un drain repetido devuelve rápidamente un error o el final del flujo.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Summary
Surfaced by the multi-language coverage fan-out while conformance-testing these SPEC-IDs against databricks/databricks-sql-python. Each finding is committed as an expected-failure (xfail) test in the coverage PR — the test asserts the CORRECT (post-fix) behavior and stays red until THIS driver (databricks/databricks-sql-python) is fixed, then flips green as a tripwire.
Findings
- CLOUDFETCH-018 [thrift]: A permanently-failing CloudFetch link fetch (Thrift FetchResults) never surfaces a terminal error: the drain hangs indefinitely (>180s) instead of failing, stranding the application thread. The link fetch fails before any per-chunk state exists, so error handling keyed on per-chunk download/processing state never records the failure or wakes waiters (same class as kernel #319 / audit finding H03).
- failing test:
test_link_fetch_failure_surfaces_terminal_error(see the coverage PR diff undertests/)
- failing test:
Reproduce & Expected
CLOUDFETCH-018 — A permanently-failing CloudFetch LINK FETCH must surface a TERMINAL error to the consumer, and must do so in bounded time.
Reproduce:
- Enable this run's protocol scenario (see protocol_scenarios above) so the
link-fetch call fails persistently. The result must be large enough to span
MULTIPLE chunks, so the driver has to ask for links it does not already hold --
otherwise every link arrives inline, no link fetch is issued, and the injected
failure never fires (the protocol guard below catches that vacuous case). - Drain a multi-chunk CloudFetch result whose link fetch fails permanently.
Expect the drain to raise -- not to block, and not to report a clean
end-of-stream over a truncated row set. - Fetch again on the SAME result after the terminal error. Must return promptly
(end-of-stream or the same error), not hang.
Expected (per the shared spec):
- full assertion contract:
result:
- label: first_drain
exception_thrown: true
- label: first_drain
elapsed_seconds_range:
max: 180
- label: repeat_drain
either_condition_true:
- row_count: 0
- exception_thrown: true
- label: repeat_drain
elapsed_seconds_range:
max: 30
protocol:
thrift:
- label: first_drain
call_min:
method: FetchResults
min: 1
sea:
- label: first_drain
call_min:
operation: FetchResultChunk
min: 1
Context
- The behavior was first fixed in a DIFFERENT driver — reference PR: https://github.com/databricks/databricks-sql-kernel/pull/322 — which seeded the shared language-neutral spec. This issue tracks the same conformance gap in databricks/databricks-sql-python; the reference PR is for cross-referencing the intended behavior, NOT a change to this repo.
- Coverage PR carrying the reproducing xfail test(s): https://github.com/databricks/databricks-driver-test/pull/1571
- Lenguaje dominante
- Python
- Estrellas
- 233
- Forks
- 152
- Merge medio
- 21 h 5 min
- PR fusionados (30 d)
- 10
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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jumpserver/jumpserver#17584 ·