1.sbt内容：

name := "data_ana"
version := "1.0"
scalaVersion := "2.11.8"
libraryDependencies ++= Seq(
  "org.apache.spark" %% "spark-core" % "2.2.0",
  "org.apache.spark" %% "spark-sql" % "2.2.0",
  "org.apache.hadoop" % "hadoop-client" % "2.7.3",
  "org.mongodb" % "mongo-java-driver" % "3.4.2",
  "org.mongodb.mongo-hadoop" % "mongo-hadoop-core" % "2.0.2",
  "org.mongodb.spark" %% "mongo-spark-connector" % "2.2.0"
  )
2.简单的测试代码　　

import com.mongodb.spark._
import org.apache.spark.sql.SparkSession
object mongdb_test {
  def main(args: Array[String]): Unit = {
      val spark = SparkSession
      .builder()
      .master("local")
      .appName("lining")
      .config("spark.mongodb.input.uri", "mongodb://name:passwd@192.168.1.11:27017/database_name.table_name")
      .config("spark.mongodb.output.uri", "mongodb://name:passwd@192.168.1.11:27017/database_name.table_name")
　　　 .getOrCreate()

    val lines=MongoSpark.load(spark)
    lines.printSchema()
    lines.show()
  }
}
3.相关的链接　　
　　　　https://docs.mongodb.com/spark-connector/current/scala/datasets-and-sql/
　　　　http://spark.apache.org/docs/2.1.0/sql-programming-guide.html
　　　　http://www.thebigdata.cn/MongoDB/31116.html

spark连接MongoDB