当我尝试使用intellij idea开发spark流媒体应用程序时
环境
spark core 2.2.0版intellij idea 2017.3.5版
附加信息：spark正在Yarn模式下运行。
获取错误：

Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Exception in thread "main" java.lang.ExceptionInInitializerError
    at kafka_stream.kafka_stream.main(kafka_stream.scala)
Caused by: org.apache.spark.SparkException: A master URL must be set in your configuration
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:376)
    at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2509)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:909)
    at org.apache.spark.sql.SparkSession$Builder$$anonfun$6.apply(SparkSession.scala:901)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:901)
    at kafka_stream.InitSpark$class.$init$(InitSpark.scala:15)
    at kafka_stream.kafka_stream$.<init>(kafka_stream.scala:6)
    at kafka_stream.kafka_stream$.<clinit>(kafka_stream.scala)
    ... 1 more

Process finished with exit code 1

试过这个

val spark: SparkSession = SparkSession.builder()
    .appName("SparkStructStream")
    .master("spark://127.0.0.1:7077")
    //.master("local[*]")
    .getOrCreate()

仍然得到相同的主url错误
build.sbt文件的内容

name := "KafkaSpark"

version := "1.0"

scalaVersion := "2.11.8"

libraryDependencies ++= Seq(
  "org.apache.spark" % "spark-core_2.11" % "2.2.0",
  "org.apache.spark" % "spark-sql_2.11" % "2.2.0",
  "org.apache.spark" % "spark-streaming_2.11" % "2.2.0",
  "org.apache.spark" % "spark-streaming-kafka_2.11" % "1.6.3"
)

// https://mvnrepository.com/artifact/org.apache.kafka/kafka_2.11
libraryDependencies += "org.apache.kafka" % "kafka_2.11" % "0.11.0.0"

// https://mvnrepository.com/artifact/org.apache.kafka/kafka-clients
libraryDependencies += "org.apache.kafka" % "kafka-clients" % "0.11.0.0"

// https://mvnrepository.com/artifact/org.apache.kafka/kafka-streams
libraryDependencies += "org.apache.kafka" % "kafka-streams" % "0.11.0.0"

// https://mvnrepository.com/artifact/org.apache.kafka/connect-api
libraryDependencies += "org.apache.kafka" % "connect-api" % "0.11.0.0"

libraryDependencies += "com.databricks" %% "spark-avro" % "4.0.0"

resolvers += Resolver.mavenLocal
resolvers += "central maven" at "https://repo1.maven.org/maven2/"

如果您能帮上忙，我们将不胜感激？