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via Apache's JIRA Issue Tracker by Shubhanshu Mishra, 1 year ago
Job aborted due to stage failure: Task 1 in stage 3.0 failed 1 times, most recent failure: Lost task 1.0 in stage 3.0 (TID 5, localhost): com.univocity.parsers.common.TextParsingException: Error processing input: Length of parsed input (1001
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 3.0 failed 1 times, most recent failure: Lost task 1.0 in stage 3.0 (TID 5, localhost): com.univocity.parsers.common.TextParsingException: Error processing input: Length of parsed input (1001) exceeds the maximum number of characters defined in your parser settings (1000). 
Identified line separator characters in the parsed content. This may be the cause of the error. The line separator in your parser settings is set to '\n'. Parsed content:
        I did it my way": moving away from the tyranny of turn-by-turn pedestrian navigation    i did it my way moving away from the tyranny of turn by turn pedestrian navigation      2010  2010/09/07       10.1145/1851600.1851660 international conference on human computer interaction  interact                43331058        18871[\n]
        770CA612        Fixed in time and "time in motion": mobility of vision through a SenseCam lens  fixed in time and time in motion mobility of vision through a sensecam lens     2009  2009/09/15       10.1145/1613858.1613861 international conference on human computer interaction  interact                43331058        19370[\n]
        7B5DE5DE        Assistive Wearable Technology for Visually Impaired     assistive wearable technology for visually impaired     2015    2015/08/24              international conference on human computer interaction interact                43331058        19555[\n]
        085BEC09        HOUDINI: Introducing Object Tracking and Pen Recognition for LLP Tabletops      houdini introducing object tracking and pen recognition for llp tabletops       2014  2014/06/22       10.1007/978-3-319-07230-2_23    international c
Parser Configuration: CsvParserSettings:
        Column reordering enabled=true
        Empty value=null
        Header extraction enabled=false
        Headers=[C0, C1, C2, C3, C4, C5, C6, C7, C8, C9, C10]
        Ignore leading whitespaces=false
        Ignore trailing whitespaces=false
        Input buffer size=128
        Input reading on separate thread=false
        Line separator detection enabled=false
        Maximum number of characters per column=1000
        Maximum number of columns=20
        Null value=
        Number of records to read=all
        Parse unescaped quotes=true
        Row processor=none
        Selected fields=none
        Skip empty lines=trueFormat configuration:
        CsvFormat:
                Comment character=\0
                Field delimiter=\t
                Line separator (normalized)=\n
                Line separator sequence=\n
                Quote character="
                Quote escape character=quote escape
                Quote escape escape character=\0, line=36, char=9828. Content parsed: [I did it my way": moving away from the tyranny of turn-by-turn pedestrian navigation     i did it my way moving away from the tyranny of turn by turn pedestrian navigation     2010    2010/09/07      10.1145/1851600.1851660 international conference on human computer interaction  interact      43331058 18871
770CA612        Fixed in time and "time in motion": mobility of vision through a SenseCam lens  fixed in time and time in motion mobility of vision through a sensecam lens     2009    2009/09/15     10.1145/1613858.1613861 international conference on human computer interaction  interact                43331058        19370
7B5DE5DE        Assistive Wearable Technology for Visually Impaired     assistive wearable technology for visually impaired     2015    2015/08/24              international conference on human computer interaction interact                43331058        19555
085BEC09        HOUDINI: Introducing Object Tracking and Pen Recognition for LLP Tabletops      houdini introducing object tracking and pen recognition for llp tabletops       2014    2014/06/22     10.1007/978-3-319-07230-2_23    international c]	at com.univocity.parsers.common.AbstractParser.handleException(AbstractParser.java:241)	at com.univocity.parsers.common.AbstractParser.parseNext(AbstractParser.java:356)	at org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.next(CSVParser.scala:137)	at org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.next(CSVParser.scala:120)	at scala.collection.Iterator$class.foreach(Iterator.scala:742)	at org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.foreach(CSVParser.scala:120)	at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:155)	at org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.foldLeft(CSVParser.scala:120)	at scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:212)	at org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.aggregate(CSVParser.scala:120)	at org.apache.spark.rdd.RDD$$anonfun$aggregate$1$$anonfun$22.apply(RDD.scala:1058)	at org.apache.spark.rdd.RDD$$anonfun$aggregate$1$$anonfun$22.apply(RDD.scala:1058)	at org.apache.spark.SparkContext$$anonfun$35.apply(SparkContext.scala:1827)	at org.apache.spark.SparkContext$$anonfun$35.apply(SparkContext.scala:1827)	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69)	at org.apache.spark.scheduler.Task.run(Task.scala:82)	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:231)	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)	at java.lang.Thread.run(Thread.java:745)