Spark : java.lang.Math.toIntExact(Math.java:1011) - apache-spark

Question

I'm using cassandra 3.11 + spark 2.12 (Version 3.1.1). I ran a query and this error appear in the spark. I don't have any idea about it.
Query:
SELECT data_inicio, data_fim, dados_antigos FROM historico ;
Stack Trace:
2022-02-24 09:38:50.175 ERROR 13576 --- [nio-8080-exec-1]
o.s.b.w.servlet.support.ErrorPageFilter : Forwarding to error page
from request [/opeGraficos] due to exception [Job aborted due to stage
failure: Task 5 in stage 0.0 failed 1 times, most recent failure: Lost
task 5.0 in stage 0.0 (TID 5) (server.genesis.local executor driver):
java.lang.ArithmeticException: integer overflow at
java.lang.Math.toIntExact(Math.java:1011) at
org.apache.spark.sql.catalyst.util.DateTimeUtils$.fromJavaDate(DateTimeUtils.scala:90)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$DateConverter$.toCatalystImpl(CatalystTypeConverters.scala:306)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$DateConverter$.toCatalystImpl(CatalystTypeConverters.scala:305)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:107)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toCatalystImpl(CatalystTypeConverters.scala:252)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toCatalystImpl(CatalystTypeConverters.scala:242)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:107)
at
org.apache.spark.sql.catalyst.CatalystTypeConverters$.$anonfun$createToCatalystConverter$2(CatalystTypeConverters.scala:426)
at
com.datastax.spark.connector.datasource.UnsafeRowReader.read(UnsafeRowReaderFactory.scala:34)
at
com.datastax.spark.connector.datasource.UnsafeRowReader.read(UnsafeRowReaderFactory.scala:21)
at
com.datastax.spark.connector.datasource.CassandraPartitionReaderBase.$anonfun$getIterator$2(CassandraScanPartitionReaderFactory.scala:110)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) at
scala.collection.Iterator$$anon$11.next(Iterator.scala:496) at
com.datastax.spark.connector.datasource.CassandraPartitionReaderBase.next(CassandraScanPartitionReaderFactory.scala:66)
at
org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:79)
at
org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:112)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source) at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:345)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:337) 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$TaskRunner.run(Executor.scala:500)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748) Driver stacktrace:]
Schema:
CREATE TABLE IF NOT EXISTS "keyspace"."historico" (
"id_historico" uuid,
"data_inicio" date,
"data_fim" date,
"dados_antigos" varchar,
PRIMARY KEY("id_historico")
);