LuciferYang commented on code in PR #40610:
URL: https://github.com/apache/spark/pull/40610#discussion_r1168134446
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connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/connect/client/SparkResult.scala:
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@@ -46,7 +46,13 @@ private[sql] class SparkResult[T](
private[this] var numRecords: Int = 0
private[this] var structType: StructType = _
private[this] var boundEncoder: ExpressionEncoder[T] = _
- private[this] val batches = mutable.Buffer.empty[ColumnarBatch]
+ private[this] var nextBatchIndex: Int = 0
+ private[this] val idxToBatches = mutable.Map.empty[Int, ColumnarBatch]
+
+ // Exposed only for UT.
+ private[sql] def existingBatches(): Seq[ColumnarBatch] = {
+ idxToBatches.values.toSeq
Review Comment:
The order of `idxToBatches.values.toSeq` may be different from
`idxToBatches.put`, and this is related to the Scala version.
For example
```
val idxToBatches = scala.collection.mutable.Map.empty[Int, Long]
idxToBatches.put(0, 1)
idxToBatches.put(1, 2)
idxToBatches.put(2, 3)
idxToBatches.put(3, 4)
idxToBatches.put(4, 5)
idxToBatches.put(5, 6)
```
the result of `idxToBatches.values.toSeq` is `3, 6, 5, 2, 4, 1` with Scala
2.12 and `1,
2, 3, 4, 5,6 ` with Scala 2.13. I think a sorting should be added to make
it a stable.
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