当我使用Data Factory创建HDInsight Spark activity时，类型（脚本和jar）中有两个选项，当我选择要运行的jar（我使用scala开发jar文件时，它运行了成功 [remote livy submit），它失败，并且日志显示：
*stdout:
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/hdp/2.6.5.3009-43/spark2/jars/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/hdp/2.6.5.3009-43/spark_llap/spark-llap-assembly-1.0.0.2.6.5.3009-43.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
Error: --py-files given but primary resource is not a Python script
Run with --help for usage help or --verbose for debug output
stderr:
YARN Diagnostics:
java.lang.Exception: No YARN application is found with tag livy-batch-4-tpqnpjdw in 120 seconds. Please check your cluster status, it is may be very busy.
org.apache.livy.utils.SparkYarnApp.org$apache$livy$utils$SparkYarnApp$$getAppIdFromTag(SparkYarnApp.scala:182) org.apache.livy.utils.SparkYarnApp$$anonfun$1$$anonfun$4.apply(SparkYarnApp.scala:239) org.apache.livy.utils.SparkYarnApp$$anonfun$1$$anonfun$4.apply(SparkYarnApp.scala:236) scala.Option.getOrElse(Option.scala:120) org.apache.livy.utils.SparkYarnApp$$anonfun$1.apply$mcV$sp(SparkYarnApp.scala:236) org.apache.livy.Utils$$anon$1.run(Utils.scala:97)
*
但是当我选择脚本运行（使用python开发脚本时），它[[成功，有人可以解决这个问题吗？