Github user davies commented on a diff in the pull request: https://github.com/apache/spark/pull/11636#discussion_r56866480 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala --- @@ -217,19 +241,29 @@ private[sql] case class DataSourceScan( // TODO: The abstractions between this class and SqlNewHadoopRDD makes it difficult to know // here which path to use. Fix this. - ctx.INPUT_ROW = row + // These assignments avoids accesses to instance variables in a while-loop + // Since they are loop invariant variables (LIVs), host them outside the while-loop + val colLocalVars = output.zipWithIndex.map(x => ctx.freshName("col" + x._2)) + val columnLIVAssigns = (colLocalVars zip colVars).map { case (localName, name) => + s"$columnVectorClz $localName = $name;" } + ctx.currentVars = null - val columns1 = exprs.map(_.gen(ctx)) + val columns1 = (output zip colLocalVars).map { case (attr, colVar) => + genCodeColumnVector(ctx, colVar, rowidx, attr.dataType, attr.nullable) } val scanBatches = ctx.freshName("processBatches") ctx.addNewFunction(scanBatches, s""" | private void $scanBatches() throws java.io.IOException { | while (true) { | int numRows = $batch.numRows(); - | if ($idx == 0) $numOutputRows.add(numRows); + | if ($idx == 0) { + | ${columnAssigns.mkString("", "\n", "\n")} + | $numOutputRows.add(numRows); + | } | + | ${columnLIVAssigns.mkString("", "\n", "\n")} --- End diff -- Do we still need this?
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