scala.reflect.internal.MissingRequirementError: object java.lang.Object in compiler mirror not found
<p>I'am trying to build  spark streaming application using sbt package,I can't discover what's the reason of this error.</p>

<p>this is  some thing of the error </p>

<blockquote>
  <p>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)</p>
</blockquote>

<p>and here is the code</p>

<pre><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 =&gt; tweet.getLang() == lang}
val statuses = tweetsFilteredByLang.map{ tweet =&gt; tweet.getText()}
val words = statuses.flatMap{status =&gt; status.split("""\s+""")}
val hashTags = words.filter{word =&gt; word.startsWith("#")}
val hashTagPairs = hashTags.map{hashtag =&gt; (hashtag, 1)}
val tagsWithCounts = hashTagPairs.updateStateByKey(
(counts: Seq[Int], prevCount: Option[Int]) =&gt;
prevCount.map{c =&gt; c + counts.sum}.orElse{Some(counts.sum)}
)
val topHashTags = tagsWithCounts.filter{ case(t, c) =&gt;
c &gt; minThreshold.toInt
}
val sortedTopHashTags = topHashTags.transform{ rdd =&gt;
rdd.sortBy({case(w, c) =&gt; c}, false)
}
sortedTopHashTags.print(showCount.toInt)
ssc.start()
ssc.awaitTermination()
}
}
</code></pre>