[coverage] Conformance findings: DATATYPE-042
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 58/100
Research direction
Start with the coverage PR diff under tests/ and the failing test named test_untyped_null_column_reports_string_type, then trace how cursor.description derives schema types for live and empty results. Verify both SELECT NULL and CAST(NULL AS STRING) report the same STRING type in both paths, while preserving the stated row, column, name, and null-value assertions.
Written by the indexing model from the issue text.
Description
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
- Dominant language
- Python
- Stars
- 233
- Forks
- 152
- Avg merge
- 21h 5m
- Merged PRs (30d)
- 10
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from databricks/databricks-sql-python
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 76/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
All issues in databricks/databricks-sql-python
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 82/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 86/100
-
🐛 Bug 🔔 Pending processing
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
jumpserver/jumpserver#17584 ·