Sparkの環境をInteliJで構築したがエラー発生

実現したいこと

InteliJでSparkの環境構築がしたい

前提

ビルドシステム:sbt
JDK:OpenJDK 17.0.6
Scala:2.3.10
ApacheSpark:3.3.2

■■な機能を実装中に以下のエラーメッセージが発生しました。

発生している問題・エラーメッセージ

ターゲット VM に接続しました。アドレス : '127.0.0.1:51070'、トランスポート: 'ソケット'
Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties
23/02/20 22:47:13 WARN Utils: Your hostname, hasegawayoshionoMacBook-Air.local resolves to a loopback address: 127.0.0.1; using 192.168.0.3 instead (on interface en0)
23/02/20 22:47:13 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
23/02/20 22:47:13 INFO SparkContext: Running Spark version 3.3.2
23/02/20 22:47:13 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
23/02/20 22:47:13 INFO ResourceUtils: ==============================================================
23/02/20 22:47:13 INFO ResourceUtils: No custom resources configured for spark.driver.
23/02/20 22:47:13 INFO ResourceUtils: ==============================================================
23/02/20 22:47:13 INFO SparkContext: Submitted application: 31c2c321-8c36-4df0-a1fa-979035f786da
23/02/20 22:47:13 INFO ResourceProfile: Default ResourceProfile created, executor resources: Map(cores -> name: cores, amount: 1, script: , vendor: , memory -> name: memory, amount: 1024, script: , vendor: , offHeap -> name: offHeap, amount: 0, script: , vendor: ), task resources: Map(cpus -> name: cpus, amount: 1.0)
23/02/20 22:47:13 INFO ResourceProfile: Limiting resource is cpu
23/02/20 22:47:13 INFO ResourceProfileManager: Added ResourceProfile id: 0
23/02/20 22:47:13 INFO SecurityManager: Changing view acls to: hasegawayoshio
23/02/20 22:47:13 INFO SecurityManager: Changing modify acls to: hasegawayoshio
23/02/20 22:47:13 INFO SecurityManager: Changing view acls groups to: 
23/02/20 22:47:13 INFO SecurityManager: Changing modify acls groups to: 
23/02/20 22:47:13 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users  with view permissions: Set(hasegawayoshio); groups with view permissions: Set(); users  with modify permissions: Set(hasegawayoshio); groups with modify permissions: Set()
23/02/20 22:47:13 INFO Utils: Successfully started service 'sparkDriver' on port 51073.
23/02/20 22:47:13 INFO SparkEnv: Registering MapOutputTracker
23/02/20 22:47:13 INFO SparkEnv: Registering BlockManagerMaster
23/02/20 22:47:13 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
23/02/20 22:47:13 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
Exception in thread "main" java.lang.IllegalAccessError: class org.apache.spark.storage.StorageUtils$ (in unnamed module @0x791f145a) cannot access class sun.nio.ch.DirectBuffer (in module java.base) because module java.base does not export sun.nio.ch to unnamed module @0x791f145a
	at org.apache.spark.storage.StorageUtils$.<clinit>(StorageUtils.scala:213)
	at org.apache.spark.storage.BlockManagerMasterEndpoint.<init>(BlockManagerMasterEndpoint.scala:114)
	at org.apache.spark.SparkEnv$.$anonfun$create$9(SparkEnv.scala:353)
	at org.apache.spark.SparkEnv$.registerOrLookupEndpoint$1(SparkEnv.scala:290)
	at org.apache.spark.SparkEnv$.create(SparkEnv.scala:339)
	at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:194)
	at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:279)
	at org.apache.spark.SparkContext.<init>(SparkContext.scala:464)
	at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2714)
	at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$2(SparkSession.scala:953)
	at scala.Option.getOrElse(Option.scala:201)
	at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:947)
	at spark$.<clinit>(spark.scala:5)
	at spark.main(spark.scala)
ターゲット VM から切断されました。アドレス: '127.0.0.1:51070'、トランスポート: 'ソケット'

該当のソースコード

build.sbt
1ThisBuild / version := "0.1.0-SNAPSHOT"
2
3ThisBuild / scalaVersion := "2.13.10"
4
5lazy val root = (project in file("."))
6  .settings(
7    name := "spark"
8  )
9libraryDependencies += "org.apache.spark" %% "spark-sql" % "3.3.2"
10libraryDependencies += "org.apache.spark" %% "spark-core" % "3.3.2"

scala
1import org.apache.spark.sql.{DataFrame, SparkSession}
2
3object spark {
4
5  val sc: SparkSession = SparkSession.builder.master(master = "local[2]").getOrCreate()
6  def main(args: Array[String]): Unit = {
7    val df = sc.read.csv(path = "data.csv")
8    df.show()
9  }
10}