org.apache.spark.sql.execution.SQLConfInjectingRDD.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.spark.sql.execution
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.{Partition, TaskContext}
import scala.reflect.ClassTag
/**
* NOTE: This is a generalized version of of Spark's [[SQLExecutionRDD]]
*
* It is just a wrapper over [[sqlRDD]] which sets and makes effective all the configs from the
* captured [[SQLConf]]
*
* @param sqlRDD the `RDD` generated by the SQL plan
* @param conf the `SQLConf` to apply to the execution of the SQL plan
*/
class SQLConfInjectingRDD[T: ClassTag](var sqlRDD: RDD[T], @transient conf: SQLConf) extends RDD[T](sqlRDD) {
private val sqlConfigs = conf.getAllConfs
private lazy val sqlConfExecutorSide = {
val newConf = new SQLConf()
sqlConfigs.foreach { case (k, v) => newConf.setConfString(k, v) }
newConf
}
override val partitioner = firstParent[InternalRow].partitioner
override def getPartitions: Array[Partition] = firstParent[InternalRow].partitions
override def compute(split: Partition, context: TaskContext): Iterator[T] = {
// If we are in the context of a tracked SQL operation, `SQLExecution.EXECUTION_ID_KEY` is set
// and we have nothing to do here. Otherwise, we use the `SQLConf` captured at the creation of
// this RDD.
if (context.getLocalProperty(SQLExecution.EXECUTION_ID_KEY) == null) {
SQLConf.withExistingConf(sqlConfExecutorSide) {
firstParent[T].iterator(split, context)
}
} else {
firstParent[T].iterator(split, context)
}
}
}
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