Github user kiszk commented on a diff in the pull request:
https://github.com/apache/spark/pull/11636#discussion_r56883452
--- 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 --
For now, I will not use this. In the future, I may revisit this scala
replacement regarding all of possible variables in another PR.
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