Github user davies commented on a diff in the pull request: https://github.com/apache/spark/pull/13065#discussion_r88755507 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/GenerateExec.scala --- @@ -103,5 +109,192 @@ case class GenerateExec( } } } -} + override def inputRDDs(): Seq[RDD[InternalRow]] = { + child.asInstanceOf[CodegenSupport].inputRDDs() + } + + protected override def doProduce(ctx: CodegenContext): String = { + child.asInstanceOf[CodegenSupport].produce(ctx, this) + } + + override def doConsume(ctx: CodegenContext, input: Seq[ExprCode], row: ExprCode): String = { + ctx.currentVars = input + ctx.copyResult = true + + // Add input rows to the values when we are joining + val values = if (join) { + input + } else { + Seq.empty + } + + boundGenerator match { + case e: CollectionGenerator => codeGenCollection(ctx, e, values, row) + case g => codeGenTraversableOnce(ctx, g, values, row) + } + } + + /** + * Generate code for [[CollectionGenerator]] expressions. + */ + private def codeGenCollection( + ctx: CodegenContext, + e: CollectionGenerator, + input: Seq[ExprCode], + row: ExprCode): String = { + + // Generate code for the generator. + val data = e.genCode(ctx) + + // Generate looping variables. + val index = ctx.freshName("index") + + // Add a check if the generate outer flag is true. + val checks = optionalCode(outer, data.isNull) + + // Add position + val position = if (e.position) { + Seq(ExprCode("", "false", index)) + } else { + Seq.empty + } + + // Generate code for either ArrayData or MapData + val (initMapData, updateRowData, values) = e.collectionType match { + case ArrayType(st: StructType, nullable) if e.inline => + val row = codeGenAccessor(ctx, data.value, "col", index, st, nullable, checks) + val fieldChecks = checks ++ optionalCode(nullable, row.isNull) + val columns = st.fields.toSeq.zipWithIndex.map { case (f, i) => + codeGenAccessor(ctx, row.value, f.name, i.toString, f.dataType, f.nullable, fieldChecks) + } + ("", row.code, columns) + + case ArrayType(dataType, nullable) => + ("", "", Seq(codeGenAccessor(ctx, data.value, "col", index, dataType, nullable, checks))) + + case MapType(keyType, valueType, valueContainsNull) => + // Materialize the key and the value arrays before we enter the loop. + val keyArray = ctx.freshName("keyArray") + val valueArray = ctx.freshName("valueArray") + val initArrayData = + s""" + |ArrayData $keyArray = ${data.isNull} ? null : ${data.value}.keyArray(); + |ArrayData $valueArray = ${data.isNull} ? null : ${data.value}.valueArray(); + """.stripMargin + val values = Seq( + codeGenAccessor(ctx, keyArray, "key", index, keyType, nullable = false, checks), + codeGenAccessor(ctx, valueArray, "value", index, valueType, valueContainsNull, checks)) + (initArrayData, "", values) + } + + // In case of outer=true we need to make sure the loop is executed at-least once when the + // array/map contains no input. We do this by setting the looping index to -1 if there is no + // input, evaluation of the array is prevented by a check in the accessor code. + val numElements = ctx.freshName("numElements") + val init = if (outer) { + s"$numElements == 0 ? -1 : 0" + } else { + "0" + } + val numOutput = metricTerm(ctx, "numOutputRows") + s""" + |${data.code} + |$initMapData + |int $numElements = ${data.isNull} ? 0 : ${data.value}.numElements(); + |for (int $index = $init; $index < $numElements; $index++) { + | $numOutput.add(1); + | $updateRowData + | ${consume(ctx, input ++ position ++ values)} + |} + """.stripMargin + } + + /** + * Generate code for a regular [[TraversableOnce]] returning [[Generator]]. + */ + private def codeGenTraversableOnce( + ctx: CodegenContext, + e: Expression, + input: Seq[ExprCode], + row: ExprCode): String = { + + // Generate the code for the generator + val data = e.genCode(ctx) + + // Generate looping variables. + val iterator = ctx.freshName("iterator") + val hasNext = ctx.freshName("hasNext") + val current = ctx.freshName("row") + + // Add a check if the generate outer flag is true. + val checks = optionalCode(outer, s"!$hasNext") + val values = e.dataType match { + case ArrayType(st: StructType, nullable) => + st.fields.toSeq.zipWithIndex.map { case (f, i) => + codeGenAccessor(ctx, current, f.name, s"$i", f.dataType, f.nullable, checks) + } + } + + // In case of outer=true we need to make sure the loop is executed at-least-once when the + // iterator contains no input. We do this by adding an 'outer' variable which guarantees + // execution of the first iteration even if there is no input. Evaluation of the iterator is + // prevented by checks in the next() and accessor code. + val hasNextCode = s"$hasNext = $iterator.hasNext()" + val outerVal = ctx.freshName("outer") + val (init, check, update, next) = if (outer) { + (s"boolean $hasNextCode, $outerVal = true", + s"$hasNext || $outerVal", + s"$hasNextCode, $outerVal = false", + s"$hasNext ? $iterator.next() : null") + } else { + (s"boolean $hasNextCode", + s"$hasNext", + s"$hasNextCode", + s"$iterator.next()") + } + val numOutput = metricTerm(ctx, "numOutputRows") + s""" + |${data.code} + |scala.collection.Iterator<InternalRow> $iterator = ${data.value}.toIterator(); + |for ($init; $check; $update) { + | $numOutput.add(1); + | InternalRow $current = (InternalRow)($next); + | ${consume(ctx, input ++ values)} + |} + """.stripMargin --- End diff -- minor: I'm thinking of ``` if (outer) { s""" |${data.code} |scala.collection.Iterator<InternalRow> $iterator = ${data.value}.toIterator(); |boolean $outerVal = true; |while ($iterator.hasNext() || $outerVal) { | $numOutput.add(1); | InternalRow $current = (InternalRow)($iterator.hasNext()? $iterator.next() : null); | $outerVal = false; | ${consume(ctx, input ++ values)} |} """.stripMargin } else { s""" |${data.code} |scala.collection.Iterator<InternalRow> $iterator = ${data.value}.toIterator(); |while ($iterator.hasNext()) { | $numOutput.add(1); | InternalRow $current = (InternalRow)($iterator.next()); | ${consume(ctx, input ++ values)} |} """.stripMargin } ```
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