No suitable driver found for jdbc:mysql://192.168.25.121:3306/spark

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INFO TaskSetManager: Lost task 1.0 in stage 4.0 (TID 7) on executor localhost: java.sql.SQLException (No suitable driver found for jdbc:mysql://192.168.25.121:3306/spark) [duplicate 1]

18/10/16 18:13:46 INFO DAGScheduler: Job 2 failed: foreachPartition at IpLocation.scala:104, took 0.104398 s
Exception in thread “main” org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 6, localhost): java.sql.SQLException: No suitable driver found for jdbc:mysql://192.168.25.121:3306/spark
at java.sql.DriverManager.getConnection(DriverManager.java:689)
at java.sql.DriverManager.getConnection(DriverManager.java:247)
at cn.itcast.rdd.IpLocation $.data2mysql(IpLocation.scala:54) at cn.itcast.rdd.IpLocation$ $anonfun$main $2.apply(IpLocation.scala:104) at cn.itcast.rdd.IpLocation$ $anonfun$main $2.apply(IpLocation.scala:104) at org.apache.spark.rdd.RDD$ $anonfun$foreachPartition $1$ $anonfun$apply $28.apply(RDD.scala:902) at org.apache.spark.rdd.RDD$ $anonfun$foreachPartition $1$ $anonfun$apply $28.apply(RDD.scala:902) at org.apache.spark.SparkContext$ $anonfun$runJob $5.apply(SparkContext.scala:1899) at org.apache.spark.SparkContext$ $anonfun$runJob $5.apply(SparkContext.scala:1899) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:86) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)

解决方案：
在pom.xml文件中添加Mysql驱动

<dependency>
      <groupId>mysql</groupId>
      <artifactId>mysql-connector-java</artifactId>
      <version>6.0.6</version>
</dependency>