spark 写入mysql 中文数据 显示?? 或者 乱码

十二点的泡面2024-11-28 1:37

目录

前言

Spark报错：

解决办法：

总结一下：

报错：

解决：

前言

用spark写入mysql中，查看中文数据 显示?? 或者 乱码

Spark报错：

Scala 复制代码 
Sat Nov 23 19:15:59 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
Sat Nov 23 19:16:02 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
Sat Nov 23 19:16:02 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
2024-11-23 19:16:02,903{yy/MM/dd java.sql.BatchUpdateException: Incorrect string value: '\xE5\xBE\x85\xE6\x9C\xBA' for column 'ChangeRecordState' at row 1
	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
	at com.mysql.jdbc.Util.handleNewInstance(Util.java:425)
	at com.mysql.jdbc.Util.getInstance(Util.java:408)
	at com.mysql.jdbc.SQLError.createBatchUpdateException(SQLError.java:1163)
	at com.mysql.jdbc.PreparedStatement.executeBatchSerially(PreparedStatement.java:1823)
	at com.mysql.jdbc.PreparedStatement.executeBatchInternal(PreparedStatement.java:1307)
	at com.mysql.jdbc.StatementImpl.executeBatch(StatementImpl.java:970)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:692)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:856)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:854)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1020)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1020)
	at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2242)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:131)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.sql.SQLException: Incorrect string value: '\xE5\xBE\x85\xE6\x9C\xBA' for column 'ChangeRecordState' at row 1
	at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:965)
	at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3978)
	at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3914)
	at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2530)
	at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2683)
	at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2495)
	at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1903)
	at com.mysql.jdbc.PreparedStatement.executeUpdateInternal(PreparedStatement.java:2124)
	at com.mysql.jdbc.PreparedStatement.executeBatchSerially(PreparedStatement.java:1801)
	... 16 more
2024-11-23 19:16:02,921{yy/MM/dd Sat Nov 23 19:16:02 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 76 in stage 12.0 failed 1 times, most recent failure: Lost task 76.0 in stage 12.0 (TID 242) (LAPTOP-P70BBG66 executor driver): java.sql.BatchUpdateException: Incorrect string value: '\xE5\xBE\x85\xE6\x9C\xBA' for column 'ChangeRecordState' at row 1
	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
	at com.mysql.jdbc.Util.handleNewInstance(Util.java:425)
	at com.mysql.jdbc.Util.getInstance(Util.java:408)
	at com.mysql.jdbc.SQLError.createBatchUpdateException(SQLError.java:1163)
	at com.mysql.jdbc.PreparedStatement.executeBatchSerially(PreparedStatement.java:1823)
	at com.mysql.jdbc.PreparedStatement.executeBatchInternal(PreparedStatement.java:1307)
	at com.mysql.jdbc.StatementImpl.executeBatch(StatementImpl.java:970)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:692)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:856)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:854)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1020)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1020)
	at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2242)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:131)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.sql.SQLException: Incorrect string value: '\xE5\xBE\x85\xE6\x9C\xBA' for column 'ChangeRecordState' at row 1
	at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:965)
	at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3978)
	at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3914)
	at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2530)
	at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2683)
	at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2495)
	at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1903)
	at com.mysql.jdbc.PreparedStatement.executeUpdateInternal(PreparedStatement.java:2124)
	at com.mysql.jdbc.PreparedStatement.executeBatchSerially(PreparedStatement.java:1801)
	... 16 more

Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2253)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2202)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2201)
	at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
	at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2201)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1078)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1078)
	at scala.Option.foreach(Option.scala:274)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1078)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2440)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2382)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2371)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:868)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2202)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2223)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2242)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2267)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$1(RDD.scala:1020)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:414)
	at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:1018)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.saveTable(JdbcUtils.scala:854)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:63)
	at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
	at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:90)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)
	at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)
	at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:132)
	at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:131)
	at org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
	at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
	at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
	at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
	at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)
	at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438)
	at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)
	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:301)
	at org.apache.spark.sql.DataFrameWriter.jdbc(DataFrameWriter.scala:817)
	at com._02.gy.GZ.zhibiao.Test01$.main(Test01.scala:61)
	at com._02.gy.GZ.zhibiao.Test01.main(Test01.scala)
Caused by: java.sql.BatchUpdateException: Incorrect string value: '\xE5\xBE\x85\xE6\x9C\xBA' for column 'ChangeRecordState' at row 1
	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
	at com.mysql.jdbc.Util.handleNewInstance(Util.java:425)
	at com.mysql.jdbc.Util.getInstance(Util.java:408)
	at com.mysql.jdbc.SQLError.createBatchUpdateException(SQLError.java:1163)
	at com.mysql.jdbc.PreparedStatement.executeBatchSerially(PreparedStatement.java:1823)
	at com.mysql.jdbc.PreparedStatement.executeBatchInternal(PreparedStatement.java:1307)
	at com.mysql.jdbc.StatementImpl.executeBatch(StatementImpl.java:970)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.savePartition(JdbcUtils.scala:692)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1(JdbcUtils.scala:856)
	at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$saveTable$1$adapted(JdbcUtils.scala:854)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1020)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1020)
	at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2242)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:131)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.sql.SQLException: Incorrect string value: '\xE5\xBE\x85\xE6\x9C\xBA' for column 'ChangeRecordState' at row 1
	at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:965)
	at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3978)
	at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:3914)
	at com.mysql.jdbc.MysqlIO.sendCommand(MysqlIO.java:2530)
	at com.mysql.jdbc.MysqlIO.sqlQueryDirect(MysqlIO.java:2683)
	at com.mysql.jdbc.ConnectionImpl.execSQL(ConnectionImpl.java:2495)
	at com.mysql.jdbc.PreparedStatement.executeInternal(PreparedStatement.java:1903)
	at com.mysql.jdbc.PreparedStatement.executeUpdateInternal(PreparedStatement.java:2124)
	at com.mysql.jdbc.PreparedStatement.executeBatchSerially(PreparedStatement.java:1801)
	... 16 more
Sat Nov 23 19:16:03 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
Sat Nov 23 19:16:03 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
Sat Nov 23 19:16:03 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
Sat Nov 23 19:16:03 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
2024-11-23 19:16:03,282{yy/MM/dd java.lang.NullPointerException
	at org.apache.spark.scheduler.Task.$anonfun$run$2(Task.scala:152)
	at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1419)
	at org.apache.spark.scheduler.Task.run(Task.scala:150)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Sat Nov 23 19:16:03 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
2024-11-23 19:16:03,330{yy/MM/dd java.lang.NullPointerException
	at org.apache.spark.scheduler.Task.$anonfun$run$2(Task.scala:152)
	at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1419)
	at org.apache.spark.scheduler.Task.run(Task.scala:150)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Sat Nov 23 19:16:03 CST 2024 WARN: Establishing SSL connection without server's identity verification is not recommended. According to MySQL 5.5.45+, 5.6.26+ and 5.7.6+ requirements SSL connection must be established by default if explicit option isn't set. For compliance with existing applications not using SSL the verifyServerCertificate property is set to 'false'. You need either to explicitly disable SSL by setting useSSL=false, or set useSSL=true and provide truststore for server certificate verification.
2024-11-23 19:16:03,386{yy/MM/dd java.lang.NullPointerException
	at org.apache.spark.scheduler.Task.$anonfun$run$2(Task.scala:152)
	at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1419)
	at org.apache.spark.scheduler.Task.run(Task.scala:150)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)

Process finished with exit code 1

解决办法：

我试了网上的很多办法：在saprk里面更改编码，直接把这一列更改为UTF-8

Scala 复制代码 
.withColumn("ChangeRecordState", decode($"ChangeRecordState", "UTF-8"))

使用新的driver，然后更改maven里面的jdbc链接版本

Scala 复制代码 
properties.setProperty("driver", "com.mysql.cj.jdbc.Driver")

等等....都没有解决问题

所以我开始着手自己解决，问题的核心无非就是编码冲突问题，因为已经写入进去了，所以连接配置啥的都没问题，主要解决编码问题

spark中可以打印出中文字段所以spark基本没有什么问题，我还是用了老方法

mysqlURL的配置项上加了?useUnicode=true&characterEncoding=UTF-8

Scala 复制代码 
val mysqlUrl = "jdbc:mysql://bigdata1:3306/shtd_industry?useUnicode=true&characterEncoding=UTF-8"

主要解决的是mysql，所以我开始查询mysql的默认编码是什么，我找到了命令

Scala 复制代码 
SHOW TABLE STATUS LIKE 'machine_state_time';

找到Collation字段对应的就是默认的编码 -- latin1_swedish_ci

找到了默认编码不是UTF-8,所以这里问题很明显了，就是把 latin1_swedish_ci 变成 UTF-8

所以我又接着查询，把表转换编码的命令

sql 复制代码 
alter table machine_state_time character set utf8;

结果还是不行，当我试着找出问题，才发现我只把表改成了UTF-8，没有把字段改成UTF-8

sql 复制代码 
alter table machine_state_time convert to character set utf8;

这样mysql的问题也解决了，运行一下还是报错

找到问题，scala语言也需要设置编码方式，所以我又加了一条配置项

Scala 复制代码 
System.setProperty("file.encoding", "UTF-8")

这样就可以了，运行成功，然后查看一下mysql中的内容

总结一下：

报错：

主要原因是因为编码冲突，scala，spark，mysql-connect连接，mysql三个编码不一致

解决：

设置scala的编码：

Scala 复制代码 
System.setProperty("file.encoding", "UTF-8")

设置spark的编码：

saprk本身就是UTF-8 不用设置

设置mysqlURL的编码：

Scala 复制代码 
val mysqlUrl = "jdbc:mysql://bigdata1:3306/shtd_industry?useUnicode=true&characterEncoding=UTF-8"

设置mysql本身的编码：

用两条命令，分别是：

sql 复制代码 
//修改目标表所有字段编码格式为utf8
alter table machine_state_time convert to character set utf8;
//修改目标表表编码格式为utf8
alter table machine_state_time character set utf8;

好的，今天的分享就到这里了，希望对你有帮助，有帮助可以点点赞，评论评论

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