Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/18787#discussion_r136408531
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/vectorized/ColumnarBatchSuite.scala
---
@@ -1261,4 +1264,55 @@ class ColumnarBatchSuite extends SparkFunSuite {
s"vectorized reader"))
}
}
+
+ test("create columnar batch from Arrow column vectors") {
+ val allocator = ArrowUtils.rootAllocator.newChildAllocator("int", 0,
Long.MaxValue)
+ val vector1 = ArrowUtils.toArrowField("int1", IntegerType, nullable =
true)
+ .createVector(allocator).asInstanceOf[NullableIntVector]
+ vector1.allocateNew()
+ val mutator1 = vector1.getMutator()
+ val vector2 = ArrowUtils.toArrowField("int2", IntegerType, nullable =
true)
+ .createVector(allocator).asInstanceOf[NullableIntVector]
+ vector2.allocateNew()
+ val mutator2 = vector2.getMutator()
+
+ (0 until 10).foreach { i =>
+ mutator1.setSafe(i, i)
+ mutator2.setSafe(i + 1, i)
+ }
+ mutator1.setNull(10)
+ mutator1.setValueCount(11)
+ mutator2.setNull(0)
+ mutator2.setValueCount(11)
+
+ val columnVectors = Seq(new ArrowColumnVector(vector1), new
ArrowColumnVector(vector2))
+
+ val schema = StructType(Seq(StructField("int1", IntegerType),
StructField("int2", IntegerType)))
+ val batch = new ColumnarBatch(schema,
columnVectors.toArray[ColumnVector], 11)
+ batch.setNumRows(11)
+
+ assert(batch.numCols() == 2)
+ assert(batch.numRows() == 11)
+
+ val rowIter = batch.rowIterator().asScala
+ rowIter.zipWithIndex.foreach { case (row, i) =>
+ if (i == 10) {
+ assert(row.isNullAt(0))
+ } else {
+ assert(row.getInt(0) == i)
+ }
+ if (i == 0) {
+ assert(row.isNullAt(1))
+ } else {
+ assert(row.getInt(1) == i - 1)
+ }
+ }
+
+ intercept[java.lang.AssertionError] {
+ batch.getRow(100)
--- End diff --
Then, please check the error message here.
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