[coverage] Conformance findings: CLOUDFETCH-018
還沒有人認領這個 Issue。
評估
研究方向
從 tests/ 下 coverage PR diff 中的 xfail 測試 test_link_fetch_failure_surfaces_terminal_error 開始,然後將預期行為與參考 PR #322 進行比較。執行包含多個 chunk 結果和持續發生的 Thrift FetchResults 失敗的 protocol scenario。完成的標準是:第一次 drain 在 180 秒內引發例外,重複 drain 能迅速傳回錯誤或串流結束。
由索引模型根據 Issue 內容生成。
描述
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
- 主要語言
- Python
- 星號
- 233
- 分支
- 152
- 平均合併
- 21 小時 5 分鐘
- 30 天內合併 PR
- 10
貢獻指南
從這裡開始
- 先讀完整個 Issue,再讀專案的貢獻指南。
- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
- Fork 儲存庫,在一個分支上完成修改。
- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
databricks/databricks-sql-python 的其他 Issue
-
難度 2/5 1-3 小時 新手友好度 78/100
-
難度 2/5 1-3 小時 新手友好度 76/100
-
難度 2/5 1-3 小時 新手友好度 78/100
-
難度 2/5 1-3 小時 新手友好度 72/100
-
難度 2/5 1-3 小時 新手友好度 84/100
查看 databricks/databricks-sql-python 的全部 Issue
相似的 Issue
-
enhancement
難度 2/5 1-3 小時 新手友好度 70/100
canonical/paas-charm#368 · 1 則留言 ·
-
難度 2/5 1-3 小時 新手友好度 75/100
-
tech debt
難度 2/5 1-3 小時 新手友好度 75/100
-
難度 1/5 1 小時以內 新手友好度 90/100
StevenBlack/hosts#3256 ·
-
難度 1/5 1 小時以內 新手友好度 90/100
qualcomm/qai-appbuilder#275 ·