[coverage] Conformance findings: DATATYPE-042
Nessuno ha ancora preso questa issue.
Valutazione
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Idoneità per principianti
- 58/100
Direzione di ricerca
Inizia con il diff di coverage della PR in tests/ e con il test fallito denominato test_untyped_null_column_reports_string_type, quindi traccia il modo in cui cursor.description ricava i tipi dello schema per i risultati con dati e per i risultati vuoti. Verifica che sia SELECT NULL sia CAST(NULL AS STRING) riportino lo stesso tipo STRING in entrambi i percorsi, preservando le asserzioni indicate su righe, colonne, nomi e valori null.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
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
- DATATYPE-042 [sea]: Over the Rust kernel (SEA), an untyped NULL column (
SELECT NULL, SQL VOID) reports cursor.description type_code 'null' instead of the connector's STRING type, while its CAST(NULL AS STRING) sibling in the same result set reports 'string' — self-inconsistent and divergent from the Thrift path; affects both the live-data and empty-result schema paths- failing test:
test_untyped_null_column_reports_string_type(see the coverage PR diff undertests/)
- failing test:
- DATATYPE-042: Over the Rust kernel (SEA), an untyped NULL column (
SELECT NULL, SQL VOID) passes the wire type through and reportscursor.descriptiontype_code 'null' instead of the connector's STRING type, while aCAST(NULL AS STRING)sibling in the same result set reports 'string' — self-inconsistent, and divergent from the Thrift path which reports 'string'; affects both the live-data (Arrow-batch-derived) and empty-result (manifest-derived) schema paths
Reproduce & Expected
DATATYPE-042 — Verify that an UNTYPED NULL column -- SELECT NULL (SQL type VOID) -- reports the driver's STRING type on the result-set schema, identically to a CAST(NULL AS STRING) sibling selected by the SAME…
Reproduce:
SELECT NULL AS untyped_null, CAST(NULL AS STRING) AS typed_null_string
SELECT NULL AS untyped_null, CAST(NULL AS STRING) AS typed_null_string
FROM range(1) WHERE 1 = 0
Expected (per the shared spec):
- result has exactly 1 row(s)
- result has 2 column(s)
- col 0 is named
untyped_null - col 1 is named
typed_null_string - col
untyped_null, row 0 is null - col
typed_null_string, row 0 is null - result has exactly 0 row(s)
- result has 2 column(s)
- col 0 is named
untyped_null - col 1 is named
typed_null_string - full assertion contract:
result:
- label: live_row
row_count: 1
- label: live_row
column_count: 2
- label: live_row
column:
index: 0
name: untyped_null
- label: live_row
column:
index: 1
name: typed_null_string
- label: live_row
column:
name: untyped_null
is_null: true
- label: live_row
column:
name: typed_null_string
is_null: true
- label: live_row
untyped_null_reports_string_type:
columns:
- untyped_null
- typed_null_string
match_each_other: true
- label: empty_result
row_count: 0
- label: empty_result
column_count: 2
- label: empty_result
column:
index: 0
name: untyped_null
- label: empty_result
column:
index: 1
name: typed_null_string
- label: empty_result
untyped_null_reports_string_type:
columns:
- untyped_null
- typed_null_string
match_each_other: true
Context
- The behavior was first fixed in a DIFFERENT driver — reference PR: https://github.com/databricks/databricks-sql-kernel/pull/235 — 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/1223
- Lingua principale
- Python
- Stelle
- 233
- Fork
- 152
- Merge medio
- 21h 5m
- PR unite (30g)
- 10
Guida per i contributori
Apri la guida per i contributori
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
Altre issue di databricks/databricks-sql-python
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 78/100
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 76/100
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 78/100
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 72/100
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 84/100
Tutte le issue di databricks/databricks-sql-python
Issue simili
-
Add: hunch Aperta
Difficoltà 2/5 1-3 ore Idoneità per principianti 74/100
AbdelStark/awesome-typesafe#104 ·
-
enhancement
Difficoltà 2/5 1-3 ore Idoneità per principianti 72/100
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 68/100
DiamondLightSource/dodal#2211 ·
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 88/100
openml/openml-python#1749 ·
-
Difficoltà 2/5 1-3 ore Idoneità per principianti 88/100
sipyourdrink-ltd/bernstein#6191 ·