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[SPARK-22500][SQL] Fix 64KB JVM bytecode limit problem with cast #19730

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[SPARK-22500][SQL] Fix 64KB JVM bytecode limit problem with cast #19730

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9013671
initial commit
kiszk Nov 12, 2017
94dfde2
address review comment
kiszk Nov 13, 2017
39ffaa9
make changes smaller
kiszk Nov 13, 2017
83fef40
address review comment
kiszk Nov 17, 2017
c46ef5c
address review comments
kiszk Nov 21, 2017
574691f
address review comment
kiszk Nov 21, 2017
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12 changes: 10 additions & 2 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -1039,13 +1039,21 @@ case class Cast(child: Expression, dataType: DataType, timeZoneId: Option[String
}
}
"""
}.mkString("\n")
}
val fieldsEvalCodes = if (ctx.INPUT_ROW != null && ctx.currentVars == null) {
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shouldn't be ctx.currentVars != null?

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If ctx.currentVars != null, we need to use mkString("\n").

ctx.splitExpressions(
expressions = fieldsEvalCode,
funcName = "castStruct",
arguments = ("InternalRow", tmpRow) :: (rowClass, result) :: Nil)
} else {
fieldsEvalCode.mkString("\n")
}

(c, evPrim, evNull) =>
s"""
final $rowClass $result = new $rowClass(${fieldsCasts.length});
final InternalRow $tmpRow = $c;
$fieldsEvalCode
$fieldsEvalCodes
$evPrim = $result;
"""
}
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18 changes: 18 additions & 0 deletions sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuite.scala
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Expand Up @@ -827,4 +827,22 @@ class CastSuite extends SparkFunSuite with ExpressionEvalHelper {

checkEvaluation(cast(Literal.create(input, from), to), input)
}

test("SPARK-22500: cast for struct should not generate codes beyond 64KB") {
val N = 250

val fromInner = new StructType(
(1 to N).map(i => StructField(s"s$i", DoubleType)).toArray)
val toInner = new StructType(
(1 to N).map(i => StructField(s"i$i", IntegerType)).toArray)
val inputInner = Row.fromSeq((1 to N).map(i => i + 0.5))
val outputInner = Row.fromSeq((1 to N))
val fromOuter = new StructType(
(1 to N).map(i => StructField(s"s$i", fromInner)).toArray)
val toOuter = new StructType(
(1 to N).map(i => StructField(s"s$i", toInner)).toArray)
val inputOuter = Row.fromSeq((1 to N).map(_ => inputInner))
val outputOuter = Row.fromSeq((1 to N).map(_ => outputInner))
checkEvaluation(cast(Literal.create(inputOuter, fromOuter), toOuter), outputOuter)
}
}