使用spark-submit运行时无法从JAR文件加载man类

时间:2016-12-14 21:26:46

标签: scala apache-spark

我使用" 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!

3 个答案:

答案 0 :(得分:2)

尝试添加:

--class "packageName.Projectx"

运行命令。 (" packageName。'取决于您的项目结构,可能没有必要。)

编辑: 为了回应你的第二个错误(在下面的评论中),我相信你在运行命令中也需要这个:

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

答案 1 :(得分:0)

你没有添加--class,所以它无法从jar中找到主类。

./bin/spark-submit \
  --class <main-class> \
  --master <master-url> \
  --deploy-mode <deploy-mode> \
  --conf <key>=<value> \
  ... # other options
  <application-jar> \
  [application-arguments]

http://spark.apache.org/docs/latest/submitting-applications.html

答案 2 :(得分:0)

这有效spark-submit --class "finalproject" --master local --executor-memory 800m target/scala-2.10/finalproject_2.10-1.0.jar