1fanwang commented on code in PR #5539:
URL: https://github.com/apache/datafusion-comet/pull/5539#discussion_r3886856326
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spark/src/main/scala/org/apache/comet/vector/NativeUtil.scala:
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@@ -254,15 +254,29 @@ class NativeUtil {
def importVector(arrays: Array[ArrowArray], schemas: Array[ArrowSchema]):
Seq[CometVector] = {
val arrayVectors = mutable.ArrayBuffer.empty[CometVector]
- (0 until arrays.length).foreach { i =>
- val arrowSchema = schemas(i)
- val arrowArray = arrays(i)
+ try {
+ (0 until arrays.length).foreach { i =>
+ val arrowSchema = schemas(i)
+ val arrowArray = arrays(i)
- arrayVectors += CometVector.getVector(
- importer.importVector(arrowArray, arrowSchema, dictionaryProvider),
- dictionaryProvider)
+ arrayVectors += CometVector.getVector(
Review Comment:
Thanks!
Done in
https://github.com/apache/datafusion-comet/commit/926be0dabc153a0c4fafc2c23e6f8c56dcfbf5e9.
The current FieldVector stays rollback-owned through import, wrapping, and
publication, with regressions for both failure paths.
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