SparkR build broken in branch-3.2 with Scala 2.13

── 1. Failure (test_mllib_fpm.R:42:3): spark.fpGrowth ──────────────────────────
`expected_itemsets` not equivalent to `itemsets`.
Component “items”: Component 1: Component 1: 1 string mismatch
Component “items”: Component 2: Length mismatch: comparison on first 1 components
Component “items”: Component 2: Component 1: 1 string mismatch
Component “items”: Component 3: Length mismatch: comparison on first 1 components
Component “items”: Component 4: Length mismatch: comparison on first 1 components
Component “items”: Component 4: Component 1: 1 string mismatch
Component “items”: Component 5: Length mismatch: comparison on first 1 components
Component “items”: Component 5: Component 1: 1 string mismatch
Component “freq”: Mean relative difference: 0.5454545
── 2. Failure (test_sparkSQL.R:190:5): structField type strings ────────────────
testField$dataType.toString() not equal to `expected`.
1/1 mismatches
x[1]: "Seq(StructField(a,StringType,true))"
y[1]: "StructType(StructField(a,StringType,true))"
── 3. Failure (test_sparkSQL_arrow.R:239:3): Arrow optimization - unsupported ty
`checkSchemaInArrow(structType("a STRUCT<a: INT>"))` did not throw an error.