org.apache.paimon.spark.PaimonPartitionReader.scala Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.paimon.spark
import org.apache.paimon.data.{InternalRow => PaimonInternalRow}
import org.apache.paimon.reader.{RecordReader, RecordReaderIterator}
import org.apache.paimon.table.source.{DataSplit, Split}
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.connector.metric.CustomTaskMetric
import org.apache.spark.sql.connector.read.PartitionReader
import java.io.IOException
import scala.collection.JavaConverters._
case class PaimonPartitionReader(
readFunc: Split => RecordReader[PaimonInternalRow],
partition: SparkInputPartition,
row: SparkInternalRow
) extends PartitionReader[InternalRow] {
private lazy val split: Split = partition.split
private lazy val iterator = {
val reader = readFunc(split)
PaimonRecordReaderIterator(reader)
}
override def next(): Boolean = {
if (iterator.hasNext) {
row.replace(iterator.next())
true
} else {
false
}
}
override def get(): InternalRow = {
row
}
override def currentMetricsValues(): Array[CustomTaskMetric] = {
val paimonMetricsValues: Array[CustomTaskMetric] = split match {
case dataSplit: DataSplit =>
val splitSize = dataSplit.dataFiles().asScala.map(_.fileSize).sum
Array(
PaimonNumSplitsTaskMetric(1L),
PaimonSplitSizeTaskMetric(splitSize),
PaimonAvgSplitSizeTaskMetric(splitSize)
)
case _ =>
Array.empty[CustomTaskMetric]
}
super.currentMetricsValues() ++ paimonMetricsValues
}
override def close(): Unit = {
try {
iterator.close()
} catch {
case e: Exception =>
throw new IOException(e)
}
}
}
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