Scala-Spark corenlp-java.lang.NoClassDefFoundError

我想运行spark coreNLP，但运行spark submit时出现java.lang.NoClassDefFoundError错误

下面是来自github示例的scala代码，我将其放入一个对象中，并定义了SparkContext和SQLContext

main.scala.commotion.scala

package main.scala


import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
import org.apache.spark.sql.functions._
import org.apache.spark.sql.SQLContext

import com.databricks.spark.corenlp.functions._


object SQLContextSingleton {

  @transient  private var instance: SQLContext = _

  def getInstance(sparkContext: SparkContext): SQLContext = {
    if (instance == null) {
      instance = new SQLContext(sparkContext)
    }
    instance
  }
}


object Sentiment {
  def main(args: Array[String]) {

    val conf = new SparkConf().setAppName("Sentiment")
    val sc = new SparkContext(conf)
    val sqlContext = SQLContextSingleton.getInstance(sc)
    import sqlContext.implicits._ 


    val input = Seq((1, "<xml>Stanford University is located in California. It is a great university.</xml>")).toDF("id", "text")

    val output = input
      .select(cleanxml('text).as('doc))
      .select(explode(ssplit('doc)).as('sen))
      .select('sen, tokenize('sen).as('words), ner('sen).as('nerTags), sentiment('sen).as('sentiment))

    output.show(truncate = false)
  }
}

我运行

sbt包

，没有问题，然后运行Spark

spark submit--class“main.scala.touction”--master local[4]target/scala-2.10/mountainalizer_2.10-1.0.jar

程序在引发异常后失败：

Exception in thread "main" java.lang.NoClassDefFoundError: edu/stanford/nlp/simple/Sentence
    at main.scala.com.databricks.spark.corenlp.functions$$anonfun$cleanxml$1.apply(functions.scala:55)
    at main.scala.com.databricks.spark.corenlp.functions$$anonfun$cleanxml$1.apply(functions.scala:54)
    at org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:75)
    at org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:74)

我尝试过的事情：

我使用Eclipse for Scala，并确保按照建议添加来自StanfordCorenlp的所有JAR

---

我怀疑在将作业提交给Spark时需要在命令行中添加一些内容，有什么想法吗？

我的命令行缺少一些内容，这是正确的

spark submit需要添加所有斯坦福corenlp：

    spark-submit 
--jars $(echo stanford-corenlp/*.jar | tr ' ' ',') 
--class "main.scala.Sentiment" 
--master local[4] target/scala-2.10/sentimentanalizer_2.10-1.0.jar 

./stanford-corenlp/ejml-0.23.jar
./stanford-corenlp/javax.json-api-1.0-sources.jar
./stanford-corenlp/javax.json.jar
./stanford-corenlp/joda-time-2.9-sources.jar
./stanford-corenlp/joda-time.jar
./stanford-corenlp/jollyday-0.4.7-sources.jar
./stanford-corenlp/jollyday.jar
./stanford-corenlp/protobuf.jar
./stanford-corenlp/slf4j-api.jar
./stanford-corenlp/slf4j-simple.jar
./stanford-corenlp/stanford-corenlp-3.6.0-javadoc.jar
./stanford-corenlp/stanford-corenlp-3.6.0-models.jar
./stanford-corenlp/stanford-corenlp-3.6.0-sources.jar
./stanford-corenlp/stanford-corenlp-3.6.0.jar
./stanford-corenlp/xom-1.2.10-src.jar
./stanford-corenlp/xom.jar

    spark-submit 
--jars $(echo stanford-corenlp/*.jar | tr ' ' ',') 
--class "main.scala.Sentiment" 
--master local[4] target/scala-2.10/sentimentanalizer_2.10-1.0.jar