Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/18787#discussion_r135863376
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowConvertersSuite.scala
---
@@ -1629,6 +1632,39 @@ class ArrowConvertersSuite extends SharedSQLContext
with BeforeAndAfterAll {
}
}
+ test("roundtrip payloads") {
+ val allocator = ArrowUtils.rootAllocator.newChildAllocator("int", 0,
Long.MaxValue)
+ val vector = ArrowUtils.toArrowField("int", IntegerType, nullable =
true)
+ .createVector(allocator).asInstanceOf[NullableIntVector]
+ vector.allocateNew()
+ val mutator = vector.getMutator()
+
+ (0 until 10).foreach { i =>
+ mutator.setSafe(i, i)
+ }
+ mutator.setNull(10)
+ mutator.setValueCount(11)
+
+ val schema = StructType(Seq(StructField("int", IntegerType)))
+
+ val batch = new ColumnarBatch(schema, Array[ColumnVector](new
ArrowColumnVector(vector)), 11)
--- End diff --
you mean just calling something like `new ColumnarBatch(..).rowIterator()`?
We still need to set the number of rows in the batch I believe
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