spark-jdbc No suitable driver found错误处理

错误如图:

spark-jdbc No suitable driver found错误处理_第1张图片

代码:

object Mysql extends App{

    val sparkConf = new SparkConf()//.setAppName("RDDRelation").setMaster("local[1]")
    val sc=new SparkContext(sparkConf)
    val sqlContext = new SQLContext(sc)
  sqlContext.setConf("spark.sql.warehouse.dir","file:///")

  val url="jdbc:mysql://114.55.96.216:3306/test"
//  val url = "jdbc:mysql://114.55.96.216:3306/test?user=test&password=1234"
  val prop = new java.util.Properties
  prop.setProperty("user","test")
  prop.setProperty("password","1234")
  //jdbc1*******************
  val number=10
  val str1=s"userid>$number"
  val s=sqlContext.read.format("jdbc").jdbc(url,"userinfo",Array[String](str1),prop).select("username").rdd.distinct().collect()
  val s1=s.map(_.toString().replaceAll("\\[|\\]",""))
  println("*"*50)
  s1.foreach(println(_))
  println("*"*50)
 //jdbc2*******************
  val jdbcDF = sqlContext.read.format("jdbc")
    .options(Map("url" -> "jdbc:mysql://114.55.96.216:3306/test",
      "driver" -> "com.mysql.jdbc.Driver",
      "dbtable" -> "userinfo" ,
      "user" -> "test",
      "password" -> "1234")).load()
  jdbcDF.show()
//  sqlContext.read.format("jdbc")

}

依赖:

spark-jdbc No suitable driver found错误处理_第2张图片

mysql的jar包在打包时时就已经打进去了,
提交到集群上运行时jdbc1错误。如图1,jdbc2正常
但是jdbc2是拉取整个表的数据,不能条件从数据库查询出部分数据,
解决方法,上传一个 mysql-connector-java-5.1.35.jar至服务器

submit时指定jar包

如:
  bin/spark-submit \
 --master  yarn \
 --class test.Mysql \
 --driver-class-path /usr/hdp/2.4.0.0-169/spark/lib/mysql-connector-java-5.1.35.jar \
 /usr/hdp/2.4.0.0-169/spark/jar/test-scala.jar


,问题解决


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