我尝试直接从intellij发送代码到Spark master：

def main(args: Array[String]) = {
    println("***hello spark-test***")
    val spark = SparkSession
      .builder()
      .master("spark://172.22.208.1:7077")
      .appName("Spark-Test Application")
      .getOrCreate()
    import spark.implicits._
    val rawData = Array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
    val rdd = spark.sparkContext.parallelize(rawData)
    val df = rdd.toDF()
    val result = df.filter($"value" % 2 === 1).count()
    println(s"***Result odd numbers count: $result ***")
    spark.stop()
  }

结果：
应用程序日志在连接到主服务器时挂起：

22/12/29 12:38:55 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://172.22.208.1:7077...
22/12/29 12:38:55 INFO TransportClientFactory: Successfully created connection to /172.22.208.1:7077 after 38 ms (0 ms spent in bootstraps)
22/12/29 12:39:15 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark://172.22.208.1:7077...

驱动程序日志：

22/12/29 12:39:35 ERROR TransportRequestHandler: Error while invoking RpcHandler#receive() for one-way message.
java.io.InvalidClassException: scala.collection.immutable.ArraySeq; local class incompatible: stream classdesc serialVersionUID = -8615987390676041167, local class serialVersionUID = 2701977568115426262

spark version : spark-3.3.0-hadoop3-scala2.13
intellij的scala版本：版本2.13.5
然而，当我删除"master（" spark：//172.22.208.1：7077 "）"行并构建一个jar并通过spark-submit发送它时，它工作正常。