org.apache.paimon.spark.commands.PaimonDynamicPartitionOverwriteCommand.scala Maven / Gradle / Ivy
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package org.apache.paimon.spark.commands
import org.apache.paimon.options.Options
import org.apache.paimon.spark.DynamicOverWrite
import org.apache.paimon.table.FileStoreTable
import org.apache.spark.sql.{Row, SparkSession}
import org.apache.spark.sql.Utils.createDataset
import org.apache.spark.sql.catalyst.analysis.NamedRelation
import org.apache.spark.sql.catalyst.plans.logical.{Command, LogicalPlan, V2WriteCommand}
import org.apache.spark.sql.execution.command.RunnableCommand
import scala.collection.convert.ImplicitConversions._
/**
* A `RunnableCommand` that will execute dynamic partition overwrite using [[WriteIntoPaimonTable]].
*
* This is a workaround of Spark not supporting V1 fallback for dynamic partition overwrite. Note
* the following details:
* - Extends [[V2WriteCommand]] so that Spark can transform this plan.
* - Exposes the query as a child so that the Spark optimizer can optimize it.
*/
case class PaimonDynamicPartitionOverwriteCommand(
table: NamedRelation,
fileStoreTable: FileStoreTable,
query: LogicalPlan,
writeOptions: Map[String, String],
isByName: Boolean)
extends RunnableCommand
with V2WriteCommand {
override def child: LogicalPlan = query
override def withNewQuery(newQuery: LogicalPlan): PaimonDynamicPartitionOverwriteCommand = {
copy(query = newQuery)
}
override def withNewTable(newTable: NamedRelation): PaimonDynamicPartitionOverwriteCommand = {
copy(table = newTable)
}
override protected def withNewChildInternal(
newChild: LogicalPlan): PaimonDynamicPartitionOverwriteCommand = copy(query = newChild)
override def run(sparkSession: SparkSession): Seq[Row] = {
WriteIntoPaimonTable(
fileStoreTable,
DynamicOverWrite,
createDataset(sparkSession, query),
Options.fromMap(fileStoreTable.options() ++ writeOptions)
).run(sparkSession)
}
// Do not annotate with override here to maintain compatibility with Spark 3.3-.
def storeAnalyzedQuery(): Command = copy(query = query)
}
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