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via Apache's JIRA Issue Tracker by Shubhanshu Mishra, 1 year ago
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
via spark-issues by Hyukjin Kwon (JIRA), 2 years ago
Error processing input: Length of parsed input (1000001) exceeds the maximum number of characters defined in your parser settings (1000000). Identified line separator characters in the parsed content. This may be the cause of the error. The line
via spark-issues by Hyukjin Kwon (JIRA), 2 years ago
Error processing input: Length of parsed input (1000001) exceeds the maximum number of characters defined in your parser settings (1000000). Identified line separator characters in the parsed content. This may be the cause of the error. The line
via GitHub by 694551594
, 1 year ago
Error processing input: java.lang.ArrayIndexOutOfBoundsException - 512 Hint: Number of columns processed may have exceeded limit of 512 columns. Use settings.setMaxColumns(int) to define the maximum number of columns your input can have Ensure your
via GitHub by mumrah
, 1 year ago
Length of parsed input (101) exceeds the maximum number of characters defined in your parser settings (100). Hint: Number of characters processed may have exceeded limit of 100 characters per column. Use settings.setMaxCharsPerColumn(int) to define
via GitHub by alexanderpanchenko
, 8 months ago
of content displayed on error=-1 Line separator detection enabled=false Maximum number of characters per column=4096 Maximum number of columns=512 Normalize escaped line separators=true Null value= Number of records to read=all Processor=none
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)