8000 fix union error with empty inputs by lihao712 · Pull Request #959 · kwai/blaze · GitHub
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fix union error with empty inputs #959

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merged 1 commit into from
Apr 21, 2025
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fix union error with empty inputs #959

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13 changes: 9 additions & 4 deletions ...-extension/src/main/scala/org/apache/spark/sql/execution/blaze/plan/NativeUnionBase.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -22,8 +22,10 @@ import scala.collection.JavaConverters.asJavaIterableConverter
import org.apache.spark.Dependency
import org.apache.spark.Partition
import org.apache.spark.RangeDependency
import org.apache.spark.rdd.PartitionerAwareUnionRDD
import org.apache.spark.rdd.PartitionerAwareUnionRDDPartition
import org.apache.spark.rdd.UnionPartition
import org.apache.spark.rdd.UnionRDD
import org.apache.spark.sql.blaze.MetricNode
import org.apache.spark.sql.blaze.NativeHelper
import org.apache.spark.sql.blaze.NativeRDD
Expand Down Expand Up @@ -52,8 +54,7 @@ abstract class NativeUnionBase(

override def doExecuteNative(): NativeRDD = {
val rdds = children.map(c => NativeHelper.executeNative(c))
val nativeMetrics = MetricNode(metrics, rdds.map(_.metrics))

val nativeMetrics = MetricNode(metrics, rdds.filter(_.partitions.nonEmpty).map(_.metrics))
val unionRDD = sparkContext.union(rdds)
val unionedPartitions = unionRDD.partitions
val unionedPartitioner = unionRDD.partitioner
Expand All @@ -70,7 +71,9 @@ abstract class NativeUnionBase(
val unionInputs = ArrayBuffer[(PhysicalPlanNode, Int)]()
partition match {
case p: UnionPartition[_] =>
val input = rdds(p.parentRddIndex).nativePlan(p.parentPartition, taskContext)
val rdds = unionRDD.asInstanceOf[UnionRDD[_]].rdds
val nativeRDD = rdds(p.parentRddIndex).asInstanceOf[NativeRDD]
val input = nativeRDD.nativePlan(p.parentPartition, taskContext)
for (childIndex <- rdds.indices) {
if (childIndex == p.parentRddIndex) {
unionInputs.append((input, p.parentPartition.index))
Expand All @@ -79,8 +82,10 @@ abstract class NativeUnionBase(
}
}
case p: PartitionerAwareUnionRDDPartition =>
val rdds = unionRDD.asInstanceOf[PartitionerAwareUnionRDD[_]].rdds
for ((rdd, partition) <- rdds.zip(p.parents)) {
unionInputs.append((rdd.nativePlan(partition, taskContext), partition.index))
val nativeRDD = rdd.asInstanceOf[NativeRDD]
unionInputs.append((nativeRDD.nativePlan(partition, taskContext), partition.index))
}
}

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