1. Data truncation: Data too long for column 'userid' at row 1&&2.Duplicate entry '2020-09-16-??-??' for key 'PRIMARY'

1.Data truncation: Data too long for column 'userid' at row 1具体错误如下：

解决方案：

　　You have three choices to fix this.（stackOverflow的解决方法：）

　　　　1. Increase the size of your column datatype.

　　　　 2. Decrease the size of the content being inserted into that column.

　　　　 3. Don't insert the information.

当处理完这个错误后，发现另一个错误

2.Duplicate entry '2020-09-16-??-??' for key 'PRIMARY'

则不妨：在连接数据库时加入一句话  jdbc:mysql://hadoop102:3306/spark2020?characterEncoding=UTF-8

　　再次运行即可

20/09/16 20:43:51 ERROR Executor: Exception in task 0.0 in stage 5.0 (TID 15)
com.mysql.jdbc.MysqlDataTruncation: Data truncation: Data too long for column 'userid' at row 1
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4235)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4169)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2617)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2778)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2825)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2156)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1379)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8(SparkStreamingTest12_Req1.scala:171)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8$adapted(SparkStreamingTest12_Req1.scala:98) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at org.apache.spark.rdd.RDD.$anonfun$foreach$2(RDD.scala:986) at org.apache.spark.rdd.RDD.$anonfun$foreach$2$adapted(RDD.scala:986) at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2133)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/09/16 20:43:51 ERROR Executor: Exception in task 2.0 in stage 5.0 (TID 16) com.mysql.jdbc.MysqlDataTruncation: Data truncation: Data too long for column 'userid' at row 1 at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4235) at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4169) at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2617) at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2778) at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2825) at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2156) at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1379) at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8(SparkStreamingTest12_Req1.scala:171) at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8$adapted(SparkStreamingTest12_Req1.scala:98)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943) at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28) at org.apache.spark.rdd.RDD.$anonfun$foreach$2(RDD.scala:986)
at org.apache.spark.rdd.RDD.$anonfun$foreach$2$adapted(RDD.scala:986)
at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2133) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:127) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
20/09/16 20:43:51 ERROR TaskSetManager: Task 0 in stage 5.0 failed 1 times; aborting job
20/09/16 20:43:51 ERROR JobScheduler: Error running job streaming job 1600260231000 ms.0
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 5.0 failed 1 times, most recent failure: Lost task 0.0 in stage 5.0 (TID 15, zls, executor driver): com.mysql.jdbc.MysqlDataTruncation: Data truncation: Data too long for column 'userid' at row 1
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4235)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4169)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2617)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2778)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2825)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2156)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1379)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8(SparkStreamingTest12_Req1.scala:171)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8$adapted(SparkStreamingTest12_Req1.scala:98) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at org.apache.spark.rdd.RDD.$anonfun$foreach$2(RDD.scala:986) at org.apache.spark.rdd.RDD.$anonfun$foreach$2$adapted(RDD.scala:986) at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2133)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2023)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1972) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1971) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:950) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2203) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2152) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2141) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:752)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2114)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2133)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2158)
at org.apache.spark.rdd.RDD.$anonfun$foreach$1(RDD.scala:986) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:388) at org.apache.spark.rdd.RDD.foreach(RDD.scala:984) at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$7(SparkStreamingTest12_Req1.scala:98) at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$7$adapted(SparkStreamingTest12_Req1.scala:97)
at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2(DStream.scala:629) at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2$adapted(DStream.scala:629) at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$2(ForEachDStream.scala:51)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:417)
at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$1(ForEachDStream.scala:51) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at scala.util.Try$.apply(Try.scala:213)
at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.$anonfun$run$1(JobScheduler.scala:256)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: com.mysql.jdbc.MysqlDataTruncation: Data truncation: Data too long for column 'userid' at row 1
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4235)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4169)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2617)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2778)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2825)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2156)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1379)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8(SparkStreamingTest12_Req1.scala:171)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8$adapted(SparkStreamingTest12_Req1.scala:98) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at org.apache.spark.rdd.RDD.$anonfun$foreach$2(RDD.scala:986) at org.apache.spark.rdd.RDD.$anonfun$foreach$2$adapted(RDD.scala:986) at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2133)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)
... 3 more
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 5.0 failed 1 times, most recent failure: Lost task 0.0 in stage 5.0 (TID 15, zls, executor driver): com.mysql.jdbc.MysqlDataTruncation: Data truncation: Data too long for column 'userid' at row 1
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4235)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4169)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2617)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2778)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2825)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2156)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1379)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8(SparkStreamingTest12_Req1.scala:171)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8$adapted(SparkStreamingTest12_Req1.scala:98) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at org.apache.spark.rdd.RDD.$anonfun$foreach$2(RDD.scala:986) at org.apache.spark.rdd.RDD.$anonfun$foreach$2$adapted(RDD.scala:986) at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2133)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2023)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:1972) at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:1971) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1971)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:950) at scala.Option.foreach(Option.scala:407) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:950) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2203) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2152) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2141) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:752)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2093)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2114)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2133)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2158)
at org.apache.spark.rdd.RDD.$anonfun$foreach$1(RDD.scala:986) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:388) at org.apache.spark.rdd.RDD.foreach(RDD.scala:984) at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$7(SparkStreamingTest12_Req1.scala:98) at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$7$adapted(SparkStreamingTest12_Req1.scala:97)
at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2(DStream.scala:629) at org.apache.spark.streaming.dstream.DStream.$anonfun$foreachRDD$2$adapted(DStream.scala:629) at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$2(ForEachDStream.scala:51)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:417)
at org.apache.spark.streaming.dstream.ForEachDStream.$anonfun$generateJob$1(ForEachDStream.scala:51) at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23) at scala.util.Try$.apply(Try.scala:213)
at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.$anonfun$run$1(JobScheduler.scala:256)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:256) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: com.mysql.jdbc.MysqlDataTruncation: Data truncation: Data too long for column 'userid' at row 1
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4235)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:4169)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2617)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2778)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2825)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:2156)
at com.mysql.jdbc.PreparedStatement.execute(PreparedStatement.java:1379)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8(SparkStreamingTest12_Req1.scala:171)
at com.atguigu.bigdata.spark.streaming.SparkStreamingTest12_Req1$.$anonfun$main$8$adapted(SparkStreamingTest12_Req1.scala:98) at scala.collection.Iterator.foreach(Iterator.scala:943) at scala.collection.Iterator.foreach$(Iterator.scala:943)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at org.apache.spark.rdd.RDD.$anonfun$foreach$2(RDD.scala:986) at org.apache.spark.rdd.RDD.$anonfun$foreach$2$adapted(RDD.scala:986) at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2133)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:127)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:444)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:447)
... 3 more

Process finished with exit code 1