当我使用java web运行应用程序时，出现了以下错误 cassandra 3.11.9和spark 3.0.1。
我的问题是，为什么只有在部署应用程序之后才会发生这种情况？在开发环境中，它没有发生。
2021-03-24 08:50:41.150信息19613---[uler event loop]org.apache.spark.scheduler.dagscheduler:shufflemapstage 0（falhaservice的collectaslist）。java:60)在7.513秒内失败，原因是由于阶段失败而中止作业：阶段0.0中的任务0失败1次，最近的失败：在阶段0.0（tid 0）中丢失任务0.0（gdbhml08执行器驱动程序）：java.lang.arithmeticexception:在java.lang.math.tointexact（math）处整数溢出。java:1011)在org.apache.spark.sql.catalyst.util.datetimeutils$.fromjavadate（datetimeutils。scala:90)在org.apache.spark.sql.catalysttypeconverters$dateconverter$.tocatalystimpl（catalysttypeconverters）。scala:306)在org.apache.spark.sql.catalysttypeconverters$dateconverter$.tocatalystimpl（catalysttypeconverters）上。scala:305)在org.apache.spark.sql.catalyst.catalysttypeconverters$catalysttypeconverter.tocatalyst（catalysttypeconverters）。scala:107)在org.apache.spark.sql.catalyst.catalysttypeconverters$structconverter.tocatalystimpl（catalysttypeconverters。scala:252)在org.apache.spark.sql.catalyst.catalysttypeconverters$structconverter.tocatalystimpl（catalysttypeconverters）。scala:242)位于org.apache.spark.sql.catalyst.catalysttypeconverters$catalysttypeconverter.tocatalyst（catalysttypeconverters）。scala:107)在org.apache.spark.sql.catalysttypeconverters$.$anonfun$createtocatalystconverter$2（catalysttypeconverters）。scala:426)在com.datastax.spark.connector.datasource.unsaferowreader.read（unsaferowreaderfactory。scala:34)在com.datastax.spark.connector.datasource.unsaferowreader.read（unsaferowreaderfactory。scala:21)在com.datastax.spark.connector.datasource.cassandrapartitionreaderbase.$anonfun$getiterator$2（cassandrascanpartitionreaderfactory。scala:110)在scala.collection.iterator$$anon$10.next（iterator。scala:461)在scala.collection.iterator$$anon$11.next（iterator。scala:496)在com.datastax.spark.connector.datasource.cassandrapartitionreaderbase.next（cassandrascanpartitionreaderfactory。scala:66)位于org.apache.spark.sql.execution.datasources.v2.partitioniterator.hasnext（datasourcerdd。scala:79)在org.apache.spark.sql.execution.datasources.v2.metricsiterator.hasnext（datasourcerdd。scala:112)在org.apache.spark.interruptibleiterator.hasnext（interruptibleiterator。scala:37)在scala.collection.iterator$$anon$10.hasnext（iterator。scala:460)位于org.apache.spark.sql.catalyst.expressions.generatedclass$generatederatorforcodegenstage1.agg\u doaggregatewithkeys\u 0$（未知源代码）org.apache.spark.sql.catalyst.expressions.generatedclass$generateEditorForCodeGenStage1.processnext（未知源代码），位于org.apache.spark.sql.execution.bufferedrowiterator.hasnext（bufferedrowiterator）。java:43)在org.apache.spark.sql.execution.whistagecodegenexec$$anon$1.hasnext（whistagecodegenexec。scala:755)在scala.collection.iterator$$anon$10.hasnext（迭代器。scala:460)在org.apache.spark.shuffle.sort.bypassmergesortshufflewriter.write（bypassmergesortshufflewriter。java:132)在org.apache.spark.shuffle.shufflewriteprocessor.write（shufflewriteprocessor。scala:59)在org.apache.spark.scheduler.shufflemaptask.runtask（shufflemaptask。scala:99)在org.apache.spark.scheduler.shufflemaptask.runtask（shufflemaptask。scala:52)在org.apache.spark.scheduler.task.run（task。scala:131)在org.apache.spark.executor.executor$taskrunner.$anonfun$run$3（executor。scala:497)在org.apache.spark.util.utils$.trywithsafefinally（utils。scala:1439)在org.apache.spark.executor.executor$taskrunner.run（executor。scala:500)位于java.util.concurrent.threadpoolexecutor.runworker（threadpoolexecutor。java:1149)在java.util.concurrent.threadpoolexecutor$worker.run（threadpoolexecutor。java:624)在java.lang.thread.run（线程。java:748)
驱动程序stacktrace:2021-03-24 08:50:41.189 info 19613---[nio-8080-exec-2]org.apache.spark.scheduler.dagscheduler:作业0失败：falhaservice的collectaslist。java:60，耗时8.160348秒
此错误中的行代码：

List<Row> rows = dataset.collectAsList();

代码块：

Dataset<Row> dataset = session.sql(sql.toString());

List<Row> rows = dataset.collectAsList();
ListIterator<Row> t = rows.listIterator();
while (t.hasNext()) {
    Row row = t.next();
    grafico = new EstGraficoRelEstTela();
    grafico.setSuperficie(row.getLong(0));
    grafico.setSubsea(row.getLong(1) + row.getLong(2));
    grafico.setNomeTipoSensor(row.getString(3));
    graficoLocalFalhas.add(grafico);
}
session.close();

谢谢，