dongjoon-hyun opened a new pull request, #467:
URL: https://github.com/apache/spark-connect-swift/pull/467
### What changes were proposed in this pull request?
This PR aims to support field-name-based access in `Row` like Scala's
`GenericRowWithSchema`.
- A new `RowSchema` class holds the field names and a name-to-index
dictionary, shared by reference across all `Row`s of the same batch.
- `Row` gains `fieldIndex(_:)`, `get(_ name:)`, `subscript(name:)`, and
`asDict()`. For duplicate field names, the last one wins like Scala.
- `DataFrame.collect()` attaches a `RowSchema` created from the Arrow schema
to every `Row`.
### Why are the changes needed?
Previously, `Row` only supported position-based access. This provides the
equivalent of PySpark's `row["name"]`/`asDict()` and Scala's `fieldIndex(name)`.
```swift
let rows = try await spark.sql("SELECT * FROM VALUES (1, 'abc') T(id,
name)").collect()
let id = try rows[0].get("id") as! Int32
let name = try rows[0]["name"] as! String
```
### Does this PR introduce _any_ user-facing change?
Yes, this adds new public APIs. All existing APIs and behaviors are
unchanged.
### How was this patch tested?
Pass the CIs with newly added test cases.
### Was this patch authored or co-authored using generative AI tooling?
Generated-by: Claude Fable 5
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