SparkSQL整合mongodb出错

下面是报的异常

Caused by: java.lang.NoSuchMethodError: org.apache.spark.sql.catalyst.analysis.TypeCoercion$.findTightestCommonTypeOfTwo()Lscala/Function2;
	at com.mongodb.spark.sql.MongoInferSchema$.com$mongodb$spark$sql$MongoInferSchema$$compatibleType(MongoInferSchema.scala:132)
	at com.mongodb.spark.sql.MongoInferSchema$$anonfun$3.apply(MongoInferSchema.scala:76)
	at com.mongodb.spark.sql.MongoInferSchema$$anonfun$3.apply(MongoInferSchema.scala:76)

下面是代码：

package cn.edu360.mongo

import com.mongodb.spark.MongoSpark
import org.apache.spark.sql.{DataFrame, SparkSession}

object MongoSparkSQL {
  def main(args: Array[String]): Unit = {
    val session = SparkSession.builder()
      .master("local")
      .appName("MongoSparkSQL")
      .config("spark.mongodb.input.uri", "mongodb://192.168.63.11:27200,192.168.63.12:27200,192.168.63.13:27200/mobike.bikes?readPreference=secondaryPreferred")
      .config("spark.mongodb.output.uri", "mongodb://192.168.63.11:27200,192.168.63.12:27200,192.168.63.13:27200/mobike.bikes")
      .getOrCreate()
    val df: DataFrame = MongoSpark.load(session)
    df.createTempView("v_bikes")
    val result: DataFrame = session.sql("SELECT * FROM v_bikes")
    result.show()
    session.stop()
  }
}