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Original file line number Diff line number Diff line change
Expand Up @@ -115,7 +115,9 @@ object SQLConf {
* Returns the active config object within the current scope. If there is an active SparkSession,
* the proper SQLConf associated with the thread's active session is used. If it's called from
* tasks in the executor side, a SQLConf will be created from job local properties, which are set
* and propagated from the driver side.
* and propagated from the driver side, unless a `SQLConf` has been set in the scope by
* `withExistingConf` as done for propagating SQLConf for operations performed on RDDs created
* from DataFrames.
*
* The way this works is a little bit convoluted, due to the fact that config was added initially
* only for physical plans (and as a result not in sql/catalyst module).
Expand All @@ -129,7 +131,12 @@ object SQLConf {
*/
def get: SQLConf = {
if (TaskContext.get != null) {
new ReadOnlySQLConf(TaskContext.get())
val conf = existingConf.get()
if (conf != null) {
conf
} else {
new ReadOnlySQLConf(TaskContext.get())
}
} else {
val isSchedulerEventLoopThread = SparkContext.getActive
.map(_.dagScheduler.eventProcessLoop.eventThread)
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -105,7 +105,8 @@ class QueryExecution(
* Given QueryExecution is not a public class, end users are discouraged to use this: please
* use `Dataset.rdd` instead where conversion will be applied.
*/
lazy val toRdd: RDD[InternalRow] = executedPlan.execute()
lazy val toRdd: RDD[InternalRow] = new SQLExecutionRDD(
executedPlan.execute(), sparkSession.sessionState.conf)

/**
* Prepares a planned [[SparkPlan]] for execution by inserting shuffle operations and internal
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,64 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* 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
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.execution

import java.util.Properties

import scala.collection.JavaConverters._

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], @transient conf: SQLConf) extends RDD[InternalRow](sqlRDD) {
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@viirya viirya Sep 5, 2019

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Do we need to pass in a SQLConf? I think we just always capture current SQLConf, so just private val sqlConfigs = SQLConf.get.getAllConfs?

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I prefer the current way, as the SQLConf it is passed directly from the spark session as per @cloud-fan 's comment: #25643 (comment)

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Ok. I'm fine with it.

private val sqlConfigs = conf.getAllConfs
private lazy val sqlConfExecutorSide = {
val props = new Properties()
props.putAll(sqlConfigs.asJava)
val newConf = new SQLConf()
newConf.setConf(props)
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) {
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oh, it got better.

firstParent[InternalRow].iterator(split, context)
}
} else {
firstParent[InternalRow].iterator(split, context)
}
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -17,8 +17,13 @@

package org.apache.spark.sql.internal

import org.apache.spark.SparkFunSuite
import org.apache.spark.sql.{AnalysisException, SparkSession}
import org.apache.spark.{SparkException, SparkFunSuite}
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.Attribute
import org.apache.spark.sql.catalyst.plans.logical.LocalRelation
import org.apache.spark.sql.execution.{LeafExecNode, QueryExecution, SparkPlan}
import org.apache.spark.sql.execution.debug.codegenStringSeq
import org.apache.spark.sql.functions.col
import org.apache.spark.sql.test.SQLTestUtils
Expand Down Expand Up @@ -102,4 +107,41 @@ class ExecutorSideSQLConfSuite extends SparkFunSuite with SQLTestUtils {
}
}
}

test("SPARK-28939: propagate SQLConf also in conversions to RDD") {
val confs = Seq("spark.sql.a" -> "x", "spark.sql.b" -> "y")
val physicalPlan = SQLConfAssertPlan(confs)
val dummyQueryExecution = FakeQueryExecution(spark, physicalPlan)
withSQLConf(confs: _*) {
// Force RDD evaluation to trigger asserts
dummyQueryExecution.toRdd.collect()
}
val dummyQueryExecution1 = FakeQueryExecution(spark, physicalPlan)
// Without setting the configs assertions fail
val e = intercept[SparkException](dummyQueryExecution1.toRdd.collect())
assert(e.getCause.isInstanceOf[NoSuchElementException])
}
}

case class SQLConfAssertPlan(confToCheck: Seq[(String, String)]) extends LeafExecNode {
override protected def doExecute(): RDD[InternalRow] = {
sqlContext
.sparkContext
.parallelize(0 until 2, 2)
.mapPartitions { it =>
val confs = SQLConf.get
confToCheck.foreach { case (key, expectedValue) =>
assert(confs.getConfString(key) == expectedValue)
}
it.map(i => InternalRow.fromSeq(Seq(i)))
}
}

override def output: Seq[Attribute] = Seq.empty
}

case class FakeQueryExecution(spark: SparkSession, physicalPlan: SparkPlan)
extends QueryExecution(spark, LocalRelation()) {
override lazy val sparkPlan: SparkPlan = physicalPlan
override lazy val executedPlan: SparkPlan = physicalPlan
}