linliu-code commented on code in PR #10137: URL: https://github.com/apache/hudi/pull/10137#discussion_r1411397747
########## hudi-client/hudi-spark-client/src/main/scala/org/apache/hudi/SparkFileFormatInternalRowReaderContext.scala: ########## @@ -99,4 +104,49 @@ class SparkFileFormatInternalRowReaderContext(baseFileReader: Option[Partitioned }) deserializer.deserialize(avroRecord).get.asInstanceOf[InternalRow] } + + override def mergeBootstrapReaders(skeletonFileIterator: ClosableIterator[InternalRow], + dataFileIterator: ClosableIterator[InternalRow]): ClosableIterator[InternalRow] = { + doBootstrapMerge(skeletonFileIterator.asInstanceOf[ClosableIterator[Any]], + dataFileIterator.asInstanceOf[ClosableIterator[Any]]) + } + + + protected def doBootstrapMerge(skeletonFileIterator: ClosableIterator[Any], dataFileIterator: ClosableIterator[Any]): ClosableIterator[InternalRow] = { + new ClosableIterator[Any] { + val combinedRow = new JoinedRow() + + override def hasNext: Boolean = { + //If the iterators are out of sync it is probably due to filter pushdown + checkState(dataFileIterator.hasNext == skeletonFileIterator.hasNext, + "Bootstrap data-file iterator and skeleton-file iterator have to be in-sync!") + dataFileIterator.hasNext && skeletonFileIterator.hasNext + } + + override def next(): Any = { Review Comment: This reminds me: do we need to support vectorization for other query types explicitly? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@hudi.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org