使用 Spark-Submit 运行时无法从 JAR 文件加载主类

Question

我正在使用“spark-submit --master local --executor-memory 800m target/scala-2.10/finalproject_2.10-1.0.jar”提交作业

我的 sbt 文件具有以下依赖项：

name := "Projectx"

version := "1.0"

scalaVersion := "2.10.6"

libraryDependencies += "org.apache.spark" %% "spark-core" % "1.6.3"

libraryDependencies += "org.apache.spark" % "spark-sql_2.10" % "1.6.1"

libraryDependencies += "com.databricks" % "spark-csv_2.10" % "1.4.0"

我的代码：

object Projectx {
  def main(args: Array[String]) {
    val conf = new SparkConf().setAppName("AirlineAnalysis")
    val sc = new SparkContext(conf)
    val sqlContext = new SQLContext(sc)
     sc.setLogLevel("ERROR")


    // HDFS
    val rawFlights= sc.textFile("hdfs://localhost:9000/Project/2008.csv")
       rawFlights.take(5) 
 val df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").load("hdfs://localhost:9000/Project/2008.csv")
    df.take(5)
    df.printSchema()
    df.col("Year").cast("int")
   val df_1 = df.withColumnRenamed("Year","oldYear")
   val df_2 = df_1.withColumn("Year",df_1.col("oldYear").cast("int")).drop("oldYear")
  def convertColumn(df: org.apache.spark.sql.DataFrame, name:String, newType:String) = {
  val df_1 = df.withColumnRenamed(name, "swap")
  df_1.withColumn(name, df_1.col("swap").cast(newType)).drop("swap")
}
  val df_3 = convertColumn(df_2, "ArrDelay", "int")
  val df_4 = convertColumn(df_2, "DepDelay", "int")

  val averageDelays = df_4.groupBy(df_4.col("FlightNum")).agg(avg(df_4.col("ArrDelay")), avg(df_4.col("DepDelay")))
  averageDelays.cache()
  averageDelays.show()
  averageDelays.orderBy("AVG(ArrDelay)").show()
averageDelays.write.format("com.databricks.spark.csv").option("header","true").save("hdfs://localhost:9000/Flight")
  sc.stop()
  }
    }

错误

spark-submit --master local --executor-memory 800m target/scala-2.10/projectx_2.10-1.0.jar
Error: Cannot load main class from JAR file:/home/hdadmin/target/scala-2.10/projectx_2.10-1.0.jar
Run with --help for usage help or --verbose for debug output

请帮忙！

Answer 1

尝试添加：

--class "packageName.Projectx"

到运行命令。（其中“packageName.”取决于您的项目结构，并且可能不是必需的。）

编辑：为了回应您的第二个错误（在下面的评论中），我相信您在运行命令中也需要这个：

--packages com.databricks:spark-csv_2.10:1.4.0