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SparkStreamingAndKafka2
------------------------------------
19/01/06 11:43:43 ERROR StatementExecutor$$anon$1: SQL execution failed (Reason: Incorrect string value: '\xE6\xB1\x9F\xE8\x8B\x8F' for column 'city' at row 1):
insert into top10 values('江苏','37896.0')
19/01/06 11:43:43 ERROR JobScheduler: Error running job streaming job 1546746220000 ms.0
java.sql.SQLException: Incorrect string value: '\xE6\xB1\x9F\xE8\x8B\x8F' for column 'city' at row 1
at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:1055)
at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:956)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3491)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3423)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:1936)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2060)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2542)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1734)
at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:2019)
at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:1937)
at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:1922)
at org.apache.commons.dbcp2.DelegatingPreparedStatement.executeUpdate(DelegatingPreparedStatement.java:98)
at org.apache.commons.dbcp2.DelegatingPreparedStatement.executeUpdate(DelegatingPreparedStatement.java:98)
at scalikejdbc.DBConnectionAttributesWiredPreparedStatement.executeUpdate(DBConnectionAttributesWiredPreparedStatement.scala:79)
at scalikejdbc.StatementExecutor$$anonfun$executeUpdate$1.apply$mcI$sp(StatementExecutor.scala:351)
at scalikejdbc.StatementExecutor$$anonfun$executeUpdate$1.apply(StatementExecutor.scala:351)
at scalikejdbc.StatementExecutor$$anonfun$executeUpdate$1.apply(StatementExecutor.scala:351)
at scalikejdbc.StatementExecutor$NakedExecutor.apply(StatementExecutor.scala:18)
at scalikejdbc.StatementExecutor$$anon$1.scalikejdbc$StatementExecutor$LoggingSQLAndTiming$$super$apply(StatementExecutor.scala:329)
at scalikejdbc.StatementExecutor$LoggingSQLAndTiming$class.apply(StatementExecutor.scala:273)
at scalikejdbc.StatementExecutor$$anon$1.scalikejdbc$StatementExecutor$LoggingSQLIfFailed$$super$apply(StatementExecutor.scala:329)
at scalikejdbc.StatementExecutor$LoggingSQLIfFailed$class.apply(StatementExecutor.scala:306)
at scalikejdbc.StatementExecutor$$anon$1.apply(StatementExecutor.scala:329)
at scalikejdbc.StatementExecutor.executeUpdate(StatementExecutor.scala:351)
at scalikejdbc.DBSession$$anonfun$updateWithFilters$1.apply(DBSession.scala:484)
at scalikejdbc.DBSession$$anonfun$updateWithFilters$1.apply(DBSession.scala:482)
at scalikejdbc.LoanPattern$class.using(LoanPattern.scala:18)
at scalikejdbc.ActiveSession.scalikejdbc$DBSession$$super$using(DBSession.scala:716)
at scalikejdbc.DBSession$class.using(DBSession.scala:32)
at scalikejdbc.ActiveSession.using(DBSession.scala:716)
at scalikejdbc.DBSession$class.updateWithFilters(DBSession.scala:481)
at scalikejdbc.ActiveSession.updateWithFilters(DBSession.scala:716)
at scalikejdbc.DBSession$class.updateWithFilters(DBSession.scala:456)
at scalikejdbc.ActiveSession.updateWithFilters(DBSession.scala:716)
at scalikejdbc.SQLUpdate.apply(SQL.scala:638)
at SparkStreamingAndKafka2$$anonfun$Top10ProvincetoMysql$1$$anonfun$17.apply(SparkStreamingAndKafka2.scala:270)
at SparkStreamingAndKafka2$$anonfun$Top10ProvincetoMysql$1$$anonfun$17.apply(SparkStreamingAndKafka2.scala:269)
at scalikejdbc.DBConnection$$anonfun$3.apply(DBConnection.scala:326)
at scalikejdbc.DBConnection$class.scalikejdbc$DBConnection$$rollbackIfThrowable(DBConnection.scala:290)
at scalikejdbc.DBConnection$class.localTx(DBConnection.scala:319)
at scalikejdbc.DB.localTx(DB.scala:60)
at scalikejdbc.DB$.localTx(DB.scala:263)
at SparkStreamingAndKafka2$$anonfun$Top10ProvincetoMysql$1.apply(SparkStreamingAndKafka2.scala:269)
at SparkStreamingAndKafka2$$anonfun$Top10ProvincetoMysql$1.apply(SparkStreamingAndKafka2.scala:252)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
at SparkStreamingAndKafka2$.Top10ProvincetoMysql(SparkStreamingAndKafka2.scala:252)
at SparkStreamingAndKafka2$$anonfun$Bishu$1.apply(SparkStreamingAndKafka2.scala:245)
at SparkStreamingAndKafka2$$anonfun$Bishu$1.apply(SparkStreamingAndKafka2.scala:64)
at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:628)
at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:628)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:51)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:50)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
at scala.util.Try$.apply(Try.scala:192)
at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:257)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at org.apache.spark.streaming.scheduler.JobScheduler$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)
Exception in thread "main" java.sql.SQLException: Incorrect string value: '\xE6\xB1\x9F\xE8\x8B\x8F' for column 'city' at row 1
at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:1055)
at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:956)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3491)
at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3423)
at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:1936)
at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2060)
at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2542)
at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1734)
at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:2019)
at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:1937)
at com.mysql.jdbc.PreparedStatement.executeUpdate(PreparedStatement.java:1922)
at org.apache.commons.dbcp2.DelegatingPreparedStatement.executeUpdate(DelegatingPreparedStatement.java:98)
at org.apache.commons.dbcp2.DelegatingPreparedStatement.executeUpdate(DelegatingPreparedStatement.java:98)
at scalikejdbc.DBConnectionAttributesWiredPreparedStatement.executeUpdate(DBConnectionAttributesWiredPreparedStatement.scala:79)
at scalikejdbc.StatementExecutor$$anonfun$executeUpdate$1.apply$mcI$sp(StatementExecutor.scala:351)
at scalikejdbc.StatementExecutor$$anonfun$executeUpdate$1.apply(StatementExecutor.scala:351)
at scalikejdbc.StatementExecutor$$anonfun$executeUpdate$1.apply(StatementExecutor.scala:351)
at scalikejdbc.StatementExecutor$NakedExecutor.apply(StatementExecutor.scala:18)
at scalikejdbc.StatementExecutor$$anon$1.scalikejdbc$StatementExecutor$LoggingSQLAndTiming$$super$apply(StatementExecutor.scala:329)
at scalikejdbc.StatementExecutor$LoggingSQLAndTiming$class.apply(StatementExecutor.scala:273)
at scalikejdbc.StatementExecutor$$anon$1.scalikejdbc$StatementExecutor$LoggingSQLIfFailed$$super$apply(StatementExecutor.scala:329)
at scalikejdbc.StatementExecutor$LoggingSQLIfFailed$class.apply(StatementExecutor.scala:306)
at scalikejdbc.StatementExecutor$$anon$1.apply(StatementExecutor.scala:329)
at scalikejdbc.StatementExecutor.executeUpdate(StatementExecutor.scala:351)
at scalikejdbc.DBSession$$anonfun$updateWithFilters$1.apply(DBSession.scala:484)
at scalikejdbc.DBSession$$anonfun$updateWithFilters$1.apply(DBSession.scala:482)
at scalikejdbc.LoanPattern$class.using(LoanPattern.scala:18)
at scalikejdbc.ActiveSession.scalikejdbc$DBSession$$super$using(DBSession.scala:716)
at scalikejdbc.DBSession$class.using(DBSession.scala:32)
at scalikejdbc.ActiveSession.using(DBSession.scala:716)
at scalikejdbc.DBSession$class.updateWithFilters(DBSession.scala:481)
at scalikejdbc.ActiveSession.updateWithFilters(DBSession.scala:716)
at scalikejdbc.DBSession$class.updateWithFilters(DBSession.scala:456)
at scalikejdbc.ActiveSession.updateWithFilters(DBSession.scala:716)
at scalikejdbc.SQLUpdate.apply(SQL.scala:638)
at SparkStreamingAndKafka2$$anonfun$Top10ProvincetoMysql$1$$anonfun$17.apply(SparkStreamingAndKafka2.scala:270)
at SparkStreamingAndKafka2$$anonfun$Top10ProvincetoMysql$1$$anonfun$17.apply(SparkStreamingAndKafka2.scala:269)
at scalikejdbc.DBConnection$$anonfun$3.apply(DBConnection.scala:326)
at scalikejdbc.DBConnection$class.scalikejdbc$DBConnection$$rollbackIfThrowable(DBConnection.scala:290)
at scalikejdbc.DBConnection$class.localTx(DBConnection.scala:319)
at scalikejdbc.DB.localTx(DB.scala:60)
at scalikejdbc.DB$.localTx(DB.scala:263)
at SparkStreamingAndKafka2$$anonfun$Top10ProvincetoMysql$1.apply(SparkStreamingAndKafka2.scala:269)
at SparkStreamingAndKafka2$$anonfun$Top10ProvincetoMysql$1.apply(SparkStreamingAndKafka2.scala:252)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
at SparkStreamingAndKafka2$.Top10ProvincetoMysql(SparkStreamingAndKafka2.scala:252)
at SparkStreamingAndKafka2$$anonfun$Bishu$1.apply(SparkStreamingAndKafka2.scala:245)
at SparkStreamingAndKafka2$$anonfun$Bishu$1.apply(SparkStreamingAndKafka2.scala:64)
at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:628)
at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:628)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:51)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:51)
at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:50)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:50)
at scala.util.Try$.apply(Try.scala:192)
at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:257)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257)
at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:257)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at org.apache.spark.streaming.scheduler.JobScheduler$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)
Process finished with exit code 1
解决办法：
因为用多了SQL，在创建数据库的时候不会加上默认的charset，SQL默认是utf-8格式的
所以在MySQL中，在建数据库的时候，在sql语句后面加上default chaset utf8 collate utf8_unicode_ci;
这样就可以解决中文乱码问题了
或者把那个数据删除了 重新建一个，记得指定编码是utf-8