org.apache.spark.sql.execution.SQLExecutionRDD.scala Maven / Gradle / Ivy
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* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
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package org.apache.spark.sql.execution
import org.apache.spark.{Partition, TaskContext}
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.internal.SQLConf
/**
* It is just a wrapper over `sqlRDD`, which sets and makes effective all the configs from the
* captured `SQLConf`.
* Please notice that this means we may miss configurations set after the creation of this RDD and
* before its execution.
*
* @param sqlRDD the `RDD` generated by the SQL plan
* @param conf the `SQLConf` to apply to the execution of the SQL plan
*/
class SQLExecutionRDD(
var sqlRDD: RDD[InternalRow], conf: SQLConf) extends RDD[InternalRow](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[InternalRow] = {
// 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[InternalRow].iterator(split, context)
}
} else {
firstParent[InternalRow].iterator(split, context)
}
}
}