Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/18787#discussion_r135864769
--- 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 --
Oh, you mean not using `ArrowColumnVector` at all and just make an
`Iterator[InternalRow]` some other way? That would probably work, but I
figured why not test out the columnar batch this way also.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
