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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