)]}'
{
  "commit": "d07fdb3ef7d211920f40d0106fa50161c0bf20ce",
  "tree": "84d6cf140850de88bd310be10347a2f351960437",
  "parents": [
    "99bc9602dd077c924685f1fc6e54e6feb3429302"
  ],
  "author": {
    "name": "Tim Saucer",
    "email": "timsaucer@gmail.com",
    "time": "Mon Apr 06 08:54:30 2026 -0400"
  },
  "committer": {
    "name": "GitHub",
    "email": "noreply@github.com",
    "time": "Mon Apr 06 08:54:30 2026 -0400"
  },
  "message": "Add missing scalar functions  (#1470)\n\n* Add missing scalar functions: get_field, union_extract, union_tag, arrow_metadata, version, row\n\nExpose upstream DataFusion scalar functions that were not yet available\nin the Python API. Closes #1453.\n\n- get_field: extracts a field from a struct or map by name\n- union_extract: extracts a value from a union type by field name\n- union_tag: returns the active field name of a union type\n- arrow_metadata: returns Arrow field metadata (all or by key)\n- version: returns the DataFusion version string\n- row: alias for the struct constructor\n\nNote: arrow_try_cast was listed in the issue but does not exist in\nDataFusion 53, so it is not included.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e\n\n* Add tests for new scalar functions\n\nTests for get_field, arrow_metadata, version, row, union_tag, and\nunion_extract.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e\n\n* Accept str for field name and type parameters in scalar functions\n\nAllow arrow_cast, get_field, and union_extract to accept plain str\narguments instead of requiring Expr wrappers. Also improve\narrow_metadata test coverage and fix parameter shadowing.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e\n\n* Accept str for key parameter in arrow_metadata for consistency\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e\n\n* Add doctest examples and fix docstring style for new scalar functions\n\nReplace Args/Returns sections with doctest Examples blocks for\narrow_metadata, get_field, union_extract, union_tag, and version to\nmatch existing codebase conventions. Simplify row to alias-style\ndocstring with See Also reference. Document that arrow_cast accepts\nboth str and Expr for data_type.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e\n\n* Support pyarrow DataType in arrow_cast\n\nAllow arrow_cast to accept a pyarrow DataType in addition to str and\nExpr. The DataType is converted to its string representation before\nbeing passed to DataFusion. Adds test coverage for the new input type.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e\n\n* Document bracket syntax shorthand in get_field docstring\n\nNote that expr[\"field\"] is a convenient alternative when the field\nname is a static string, and get_field is needed for dynamic\nexpressions. Add a second doctest example showing the bracket syntax.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e\n\n* Fix arrow_cast with pyarrow DataType by delegating to Expr.cast\n\nUse the existing Rust-side PyArrowType\u003cDataType\u003e conversion via\nExpr.cast() instead of str() which produces pyarrow type names\nthat DataFusion does not recognize.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e\n\n* Clarify when to use arrow_cast vs Expr.cast in docstring\n\nCo-Authored-By: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) \u003cnoreply@anthropic.com\u003e",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "8bb9277189b61042c56dd69affdcd6a93d5414ee",
      "old_mode": 33188,
      "old_path": "crates/core/src/functions.rs",
      "new_id": "74654ce46c39c95c8d3256d237f031add85a8306",
      "new_mode": 33188,
      "new_path": "crates/core/src/functions.rs"
    },
    {
      "type": "modify",
      "old_id": "1b267731e012425da8e3d6985d33cc0a4c7e1c1e",
      "old_mode": 33188,
      "old_path": "python/datafusion/functions.py",
      "new_id": "aa7f287469c679770c88392d2dc588987ba737bd",
      "new_mode": 33188,
      "new_path": "python/datafusion/functions.py"
    },
    {
      "type": "modify",
      "old_id": "2100da9ae4e232a0224a5ecbd9b1a121b1f042af",
      "old_mode": 33188,
      "old_path": "python/tests/test_functions.py",
      "new_id": "4e99fa9e3e23e8490a332def5532a886a2bbcd1f",
      "new_mode": 33188,
      "new_path": "python/tests/test_functions.py"
    }
  ]
}