Question

为缩小问题范围，我删除了其他类依赖项，并准备了以下简洁代码：

object LoaderProcessor extends App {

val logger = LoggerFactory.getLogger(this.getClass())
execute()

def execute(): Unit = {

val spark = get_spark()
import spark.implicits._

var df = spark.read
  .format("csv")
  .option("delimiter", ",")
  .option("header", true)
  .option("inferSchema", "true")
  .option("timestampFormat", "yyyy/MM/dd HH:mm:ss")
  .load(args(2))

df = df.withColumn("zs_source", lit(1)) //the only operation on dataframe

val o_file = Config().getString("myapp.dataFolder") + "/8/1/data.csv"
logger.info("Writing output to: {}", o_file)

df.write.mode("overwrite")
.option("header", "true").csv(o_file)

}

def get_spark(): SparkSession = {
val env = System.getenv("MYAPP_ENV")
var spark:SparkSession = null
if (env == null || env == "dev_local") {
  spark = org.apache.spark.sql.SparkSession.builder
    .master("local")
    .appName("MyApp")
    .getOrCreate;
}else{
  spark = org.apache.spark.sql.SparkSession.builder
    .appName("MyApp")
    //.enableHiveSupport()
    .getOrCreate;
}
spark.sparkContext.setCheckpointDir(Config().getString("myapp.rddcp"))
return spark
}
}

在客户端模式下效果很好。无法解决问题。我的集群位于HDInsight上。

也也注意到“写”操作一直在输出文件夹上进行写操作，如下所示：

part-00000-3e9566ae-c13c-468a-8732-e7b8a8df5335-c000.csv

，然后在几秒钟内：

part-00000-4f4979a0-d9f9-481b-aac4-115e63b9f59c-c000.csv

8/12/01 15:08:53 INFO ApplicationMaster：在单独的线程中启动用户应用程序 18/12/01 15:08:53 INFO ApplicationMaster：等待Spark上下文初始化... 18/12/01 15:08:55 INFO Config $：环境：dev 18/12/01 15:08:55错误ApplicationMaster：未捕获的异常： java.lang.IllegalStateException：用户未初始化spark上下文！在org.apache.spark.deploy.yarn.ApplicationMaster.runDriver（ApplicationMaster.scala：510）在org.apache.spark.deploy.yarn.ApplicationMaster.org $ apache $ spark $ deploy $ yarn $ ApplicationMaster $$ runImpl（ApplicationMaster.scala：345）在org.apache.spark.deploy.yarn.ApplicationMaster $$ anonfun $ run $ 2.apply $ mcV $ sp（ApplicationMaster.scala：260）在org.apache.spark.deploy.yarn.ApplicationMaster $$ anonfun $ run $ 2.apply（ApplicationMaster.scala：260）在org.apache.spark.deploy.yarn.ApplicationMaster $$ anonfun $ run $ 2.apply（ApplicationMaster.scala：260）在org.apache.spark.deploy.yarn.ApplicationMaster $$ anon $ 5.run（ApplicationMaster.scala：815）在java.security.AccessController.doPrivileged（本机方法）在javax.security.auth.Subject.doAs（Subject.java:422）在org.apache.hadoop.security.UserGroupInformation.doAs（UserGroupInformation.java:1869）在org.apache.spark.deploy.yarn.ApplicationMaster.doAsUser（ApplicationMaster.scala：814）在org.apache.spark.deploy.yarn.ApplicationMaster.run（ApplicationMaster.scala：259）在org.apache.spark.deploy.yarn.ApplicationMaster $ .main（ApplicationMaster.scala：839）在org.apache.spark.deploy.yarn.ApplicationMaster.main（ApplicationMaster.scala）

spark-submit --master yarn --deploy-mode cluster --jars "wasb://xx@yy/zs/jars/config-1.3.1.jar" --class myapp.LoaderProcessor "wasb://xx@yy/zs/jars/myapp.jar" l 8 /data/8_data.csv 1 , true false-> 问题

spark-submit --deploy-mode client --jars "wasb://xx@yy/zs/jars/config-1.3.1.jar" --class myapp.LoaderProcessor "wasb://xx@yy/zs/jars/myapp.jar" l 8 /data/8_data.csv 1 , true false-> 工作！

Answer 1

编辑：根据我们的评论更新

问题是您总是使用if (env == null || env == "dev_local")创建本地上下文（MYAPP_ENV在分布式环境中为null）

在SPARK YARN群集模式下使用Scala代码时，“用户未初始化Spark上下文”错误

1 个答案: