Spark SQL select doris table which contains early datetime: 1900-01-01 error: java.lang.ArithmeticException: long overflow

[ruiruirui971]

I create a table in doris, contains birthdate field, datetime type, and one row has 1900-01-01 value.
In spark sql, select * from table report error:
Caused by: java.lang.ArithmeticException: long overflow
at java.base/java.lang.Math.multiplyExact(Math.java:1004)
at org.apache.spark.sql.catalyst.util.SparkDateTimeUtils.instantToMicros(SparkDateTimeUtils.scala:119)
at org.apache.spark.sql.catalyst.util.SparkDateTimeUtils.instantToMicros$(SparkDateTimeUtils.scala:113)
at org.apache.spark.sql.catalyst.util.DateTimeUtils$.instantToMicros(DateTimeUtils.scala:40)
at org.apache.doris.spark.util.RowConvertors$.convertValue(RowConvertors.scala:125)
at org.apache.doris.spark.read.DorisPartitionReader.$anonfun$get$1(DorisPartitionReader.scala:61)
at org.apache.doris.spark.read.DorisPartitionReader.$anonfun$get$1$adapted(DorisPartitionReader.scala:56)
at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
at org.apache.doris.spark.read.DorisPartitionReader.get(DorisPartitionReader.scala:56)
at org.apache.doris.spark.read.DorisPartitionReader.get(DorisPartitionReader.scala:31)
at org.apache.spark.sql.execution.datasources.v2.PartitionIterator.next(DataSourceRDD.scala:135)
at org.apache.spark.sql.execution.datasources.v2.MetricsRowIterator.next(DataSourceRDD.scala:172)
at org.apache.spark.sql.execution.datasources.v2.MetricsRowIterator.next(DataSourceRDD.scala:169)
at org.apache.spark.sql.execution.datasources.v2.DataSourceRDD$$anon$1.next(DataSourceRDD.scala:67)
at org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:40)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:388)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:893)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:893)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:367)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:331)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:93)
at org.apache.spark.TaskContext.runTaskWithListeners(TaskContext.scala:166)
at org.apache.spark.scheduler.Task.run(Task.scala:141)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:621)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally(SparkErrorUtils.scala:64)
at org.apache.spark.util.SparkErrorUtils.tryWithSafeFinally$(SparkErrorUtils.scala:61)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:624)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
at java.base/java.lang.Thread.run(Thread.java:842)
Even I select id from table, remove birthdate column from select sql，it also report error

There's a same problem in spark sql read from parquet, but can be resolved by params:
spark.sql.parquet.datetimeRebaseModeInRead CORRECTED
spark.sql.parquet.int96RebaseModeInRead CORRECTED

Is there any paramter in spark on doris? or other solutions , Thanks a lot.