org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.scala Maven / Gradle / Ivy
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* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.spark.sql.execution.datasources
import org.apache.spark.SparkEnv
import org.apache.spark.sql.{Dataset, Row, SaveMode, SparkSession}
import org.apache.spark.sql.catalyst.plans.QueryPlan
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.execution.command.RunnableCommand
import org.apache.spark.sql.sources.CreatableRelationProvider
import org.apache.spark.util.Utils
/**
* Saves the results of `query` in to a data source.
*
* Note that this command is different from [[InsertIntoDataSourceCommand]]. This command will call
* `CreatableRelationProvider.createRelation` to write out the data, while
* [[InsertIntoDataSourceCommand]] calls `InsertableRelation.insert`. Ideally these 2 data source
* interfaces should do the same thing, but as we've already published these 2 interfaces and the
* implementations may have different logic, we have to keep these 2 different commands.
*/
case class SaveIntoDataSourceCommand(
query: LogicalPlan,
dataSource: CreatableRelationProvider,
options: Map[String, String],
mode: SaveMode) extends RunnableCommand {
override protected def innerChildren: Seq[QueryPlan[_]] = Seq(query)
override def run(sparkSession: SparkSession): Seq[Row] = {
dataSource.createRelation(
sparkSession.sqlContext, mode, options, Dataset.ofRows(sparkSession, query))
Seq.empty[Row]
}
override def simpleString: String = {
val redacted = Utils.redact(SparkEnv.get.conf, options.toSeq).toMap
s"SaveIntoDataSourceCommand ${dataSource}, ${redacted}, ${mode}"
}
}