scala.reflect.internal.MissingRequirementError: object java.lang.Object in compiler mirror not found

Question

I'am trying to build spark streaming application using sbt package,I can't discover what's the reason of this error.

this is some thing of the error

scala.reflect.internal.MissingRequirementError: object java.lang.Object in compiler mirror not found. at scala.reflect.internal.MissingRequirementError$.signal(MissingRequirementError.scala:16) at scala.reflect.internal.MissingRequirementError$.notFound(MissingRequirementError.scala:17) at scala.reflect.internal.Mirrors$RootsBase.getModuleOrClass(Mirrors.scala:48) at scala.reflect.internal.Mirrors$RootsBase.getModuleOrClass(Mirrors.scala:40) at scala.reflect.internal.Mirrors$RootsBase.getModuleOrClass(Mirrors.scala:40)

and here is the code

import org.apache.spark.SparkContext
import org.apache.spark._
import org.apache.spark.streaming._
import org.apache.spark.streaming.twitter._
import twitter4j.Status
object TrendingHashTags {
def main(args: Array[String]): Unit = {
val Array(consumerKey, consumerSecret, accessToken, accessTokenSecret,
lang, batchInterval, minThreshold, showCount ) = args.take(8)
val filters = args.takeRight(args.length - 8)
System.setProperty("twitter4j.oauth.consumerKey", consumerKey)
System.setProperty("twitter4j.oauth.consumerSecret", consumerSecret)
System.setProperty("twitter4j.oauth.accessToken", accessToken)
System.setProperty("twitter4j.oauth.accessTokenSecret", accessTokenSecret)
val conf = new SparkConf().setAppName("TrendingHashTags")
val ssc = new StreamingContext(conf, Seconds(batchInterval.toInt))
val tweets = TwitterUtils.createStream(ssc, None, filters)
val tweetsFilteredByLang = tweets.filter{tweet => tweet.getLang() == lang}
val statuses = tweetsFilteredByLang.map{ tweet => tweet.getText()}
val words = statuses.flatMap{status => status.split("""\s+""")}
val hashTags = words.filter{word => word.startsWith("#")}
val hashTagPairs = hashTags.map{hashtag => (hashtag, 1)}
val tagsWithCounts = hashTagPairs.updateStateByKey(
(counts: Seq[Int], prevCount: Option[Int]) =>
prevCount.map{c => c + counts.sum}.orElse{Some(counts.sum)}
)
val topHashTags = tagsWithCounts.filter{ case(t, c) =>
c > minThreshold.toInt
}
val sortedTopHashTags = topHashTags.transform{ rdd =>
rdd.sortBy({case(w, c) => c}, false)
}
sortedTopHashTags.print(showCount.toInt)
ssc.start()
ssc.awaitTermination()
}
}

Answer 1

I solved this issue ,I found that I used java 9 that isn't compatible with scala version so I migrated from java 9 into java 8.