Where can I find ./spark-submit

[ZhiyuanCao98]

I am new to this Spark, I have cloned the program and do the mvn clean package, so How can I run the program? I install the spark 2.4.3 and hadoop 3.1.2 in my own machine, but when I run the code, it shows:

WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Exception in thread "main" java.lang.NoSuchMethodError: scala.reflect.api.JavaUniverse.runtimeMirror(Ljava/lang/ClassLoader;)Lscala/reflect/api/JavaMirrors$JavaMirror; at com.navercorp.Main$Params.(Main.scala:15) at com.navercorp.Main$.(Main.scala:32) at com.navercorp.Main$.(Main.scala) at com.navercorp.Main.main(Main.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849) at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167) at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195) at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86) at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) log4j:WARN No appenders could be found for logger (org.apache.spark.util.ShutdownHookManager). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.

[devyrlee]

try this.

1. open ./node2vec/node2vec_spark/src/main/scala/com/navercorp/Main.scala
2. edit line 95 def main(args: Array[String]) = { to def main(args: Array[String]) { (delete =)
3. save and mvn clean package
4. run!