baiguang10 opened a new issue, #4081: URL: https://github.com/apache/incubator-seatunnel/issues/4081
### Search before asking - [X] I had searched in the [issues](https://github.com/apache/incubator-seatunnel/issues?q=is%3Aissue+label%3A%22bug%22) and found no similar issues. ### What happened 使用FakeSource生成数据执行输出到控制台没问题，使用FiledMap映射之后会报类型转换异常的错误 `env { # You can set flink configuration here execution.parallelism = 1 # For Spark #spark.app.name = "SeaTunnel" #spark.executor.instances = 2 #spark.executor.cores = 1 #spark.executor.memory = "1g" #spark.master = local } source { FakeSource { result_table_name = "fake" row.num = 16 schema = { fields { age = timestamp sex = date } } } } transform { FieldMapper { source_table_name = "fake" result_table_name = "result" field_mapper = { age = age sex = sex } } } sink { Console { source_table_name = "result" } }` ### SeaTunnel Version dev分支 ### SeaTunnel Config ```conf seatunnel基本使用默认设置，使用seatunnel用spark3.4.1单节点去执行任务 ``` ### Running Command ```shell ../../bin/start-seatunnel-spark-3-connector-v2.sh --master local[4] --deploy-mode client --config test ``` ### Error Exception ```log 23/02/08 03:10:55 INFO CodeGenerator: Code generated in 29.388814 ms 23/02/08 03:10:55 ERROR SparkTaskExecuteCommand: Run SeaTunnel on spark failed. org.apache.seatunnel.core.starter.exception.TaskExecuteException: SeaTunnel transform task: FieldMapper execute error at org.apache.seatunnel.core.starter.spark.execution.TransformExecuteProcessor.execute(TransformExecuteProcessor.java:93) at org.apache.seatunnel.core.starter.spark.execution.SparkExecution.execute(SparkExecution.java:61) at org.apache.seatunnel.core.starter.spark.command.SparkTaskExecuteCommand.execute(SparkTaskExecuteCommand.java:58) at org.apache.seatunnel.core.starter.SeaTunnel.run(SeaTunnel.java:39) at org.apache.seatunnel.core.starter.spark.SeaTunnelSpark.main(SeaTunnelSpark.java:31) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52) at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:958) at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203) at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90) at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1046) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1055) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: java.lang.ClassCastException: java.sql.Timestamp cannot be cast to java.lang.Long at org.apache.seatunnel.translation.spark.serialization.InternalRowConverter.reconvert(InternalRowConverter.java:194) at org.apache.seatunnel.translation.spark.serialization.InternalRowConverter.reconvert(InternalRowConverter.java:211) at org.apache.seatunnel.translation.spark.serialization.InternalRowConverter.reconvert(InternalRowConverter.java:187) at org.apache.seatunnel.translation.spark.serialization.InternalRowConverter.reconvert(InternalRowConverter.java:178) at org.apache.seatunnel.core.starter.spark.execution.TransformExecuteProcessor.sparkTransform(TransformExecuteProcessor.java:110) at org.apache.seatunnel.core.starter.spark.execution.TransformExecuteProcessor.execute(TransformExecuteProcessor.java:88) ... 16 more  ``` ### Flink or Spark Version _No response_ ### Java or Scala Version _No response_ ### Screenshots _No response_ ### Are you willing to submit PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://www.apache.org/foundation/policies/conduct) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
