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    <title>topic Re: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 4, localhost, executor driver): java.lang.NullPointerException in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/job-aborted-due-to-stage-failure-task-0-in-stage-4-0-failed-1/m-p/28887#M20652</link>
    <description>&lt;P&gt;You can use inferschema​&lt;/P&gt;</description>
    <pubDate>Tue, 29 Nov 2022 19:05:45 GMT</pubDate>
    <dc:creator>SS2</dc:creator>
    <dc:date>2022-11-29T19:05:45Z</dc:date>
    <item>
      <title>Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 4, localhost, executor driver): java.lang.NullPointerException</title>
      <link>https://community.databricks.com/t5/data-engineering/job-aborted-due-to-stage-failure-task-0-in-stage-4-0-failed-1/m-p/28884#M20649</link>
      <description>&lt;P&gt;I have uploaded a csv file which have well formatted data and I was trying to use &lt;/P&gt;&lt;P&gt;display(questions) where questions=spark.read.option("header","true").csv("/FileStore/tables/Questions.csv")&lt;/P&gt;&lt;P&gt;This is throwing an error as follows:&lt;/P&gt;&lt;P&gt;SparkException: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 4, localhost, executor driver): java.lang.NullPointerException at org.apache.spark.sql.execution.datasources.csv.UnivocityParser.org$apache$spark$sql$execution$datasources$csv$UnivocityParser$$convert(UnivocityParser.scala:196) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser.parse(UnivocityParser.scala:193) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anonfun$5.apply(UnivocityParser.scala:320) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anonfun$5.apply(UnivocityParser.scala:320) at org.apache.spark.sql.execution.datasources.FailureSafeParser.parse(FailureSafeParser.scala:62) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anonfun$parseIterator$2.apply(UnivocityParser.scala:327) at org.apache.spark.sql.execution.datasources.csv.UnivocityParser$$anonfun$parseIterator$2.apply(UnivocityParser.scala:327) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:161) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:423) at org.apache.spark.sql.execution.collect.UnsafeRowBatchUtils$.encodeUnsafeRows(UnsafeRowBatchUtils.scala:49) at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:126) at org.apache.spark.sql.execution.collect.Collector$$anonfun$2.apply(Collector.scala:125) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:110) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:349) 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)&lt;/P&gt;&lt;P&gt;Driver stacktrace:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 21 Mar 2018 16:44:37 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/job-aborted-due-to-stage-failure-task-0-in-stage-4-0-failed-1/m-p/28884#M20649</guid>
      <dc:creator>SindhujaRaghupa</dc:creator>
      <dc:date>2018-03-21T16:44:37Z</dc:date>
    </item>
    <item>
      <title>Re: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 4, localhost, executor driver): java.lang.NullPointerException</title>
      <link>https://community.databricks.com/t5/data-engineering/job-aborted-due-to-stage-failure-task-0-in-stage-4-0-failed-1/m-p/28886#M20651</link>
      <description>&lt;P&gt;Hi @Sindhuja Raghupatruni​&amp;nbsp; - could you please try specifying the below option during the spark read.&lt;/P&gt;&lt;PRE&gt;&lt;CODE&gt;option("inferSchema", "true")&lt;/CODE&gt;&lt;/PRE&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 18 Sep 2021 20:52:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/job-aborted-due-to-stage-failure-task-0-in-stage-4-0-failed-1/m-p/28886#M20651</guid>
      <dc:creator>shan_chandra</dc:creator>
      <dc:date>2021-09-18T20:52:35Z</dc:date>
    </item>
    <item>
      <title>Re: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 4, localhost, executor driver): java.lang.NullPointerException</title>
      <link>https://community.databricks.com/t5/data-engineering/job-aborted-due-to-stage-failure-task-0-in-stage-4-0-failed-1/m-p/28887#M20652</link>
      <description>&lt;P&gt;You can use inferschema​&lt;/P&gt;</description>
      <pubDate>Tue, 29 Nov 2022 19:05:45 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/job-aborted-due-to-stage-failure-task-0-in-stage-4-0-failed-1/m-p/28887#M20652</guid>
      <dc:creator>SS2</dc:creator>
      <dc:date>2022-11-29T19:05:45Z</dc:date>
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