dongjoon-hyun opened a new pull request, #541:
URL: https://github.com/apache/spark-connect-swift/pull/541
### What changes were proposed in this pull request?
This PR adds the four higher-order map functions to
`HigherOrderFunctions.swift`,
built on the lambda infrastructure added by SPARK-59254.
| Function | Closure |
| -------- | ------- |
| `map_filter(col, f)` | `(Column, Column) -> Column` (key, value) |
| `transform_keys(col, f)` | `(Column, Column) -> Column` (key, value) |
| `transform_values(col, f)` | `(Column, Column) -> Column` (key, value) |
| `map_zip_with(left, right, f)` | `(Column, Column, Column) -> Column`
(key, value1, value2) |
`map_zip_with` is the first user of the three-argument `createLambda`
overload,
which was added by SPARK-59254 but had no caller until now.
### Why are the changes needed?
For feature parity with Apache Spark. These four functions exist in both the
Scala and Python clients but had no Swift equivalent. They complete the set
of
higher-order functions, whose array half landed in SPARK-59254.
### Does this PR introduce _any_ user-facing change?
Yes, this adds new public APIs. For example:
```swift
let df = try await spark.range(1)
let m = map_from_arrays(array(lit(1), lit(2)), array(lit(10), lit(20)))
try await df.select(map_filter(m) { _, v in v > 10 }.cast("string")).show()
// {2 -> 20}
try await df.select(transform_keys(m) { k, v in k + v
}.cast("string")).show()
// {11 -> 10, 22 -> 20}
try await df.select(transform_values(m) { k, v in k + v
}.cast("string")).show()
// {1 -> 11, 2 -> 22}
let m2 = map_from_arrays(array(lit(1), lit(2)), array(lit(100), lit(200)))
try await df.select(map_zip_with(m, m2) { _, v1, v2 in v1 + v2
}.cast("string")).show()
// {1 -> 110, 2 -> 220}
```
All four functions were introduced in Spark 3.1.0, so no version gate is
needed.
### How was this patch tested?
Extended the existing `HigherOrderFunctionsTests` suite.
### Was this patch authored or co-authored using generative AI tooling?
Generated-by: Claude Opus 5
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