com.univocity.parsers.common.TextParsingException: Error processing input: org.apache.spark.TaskKilledException - null 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=706, char=197760. Content parsed: [mexic]

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via Apache's JIRA Issue Tracker by Shubhanshu Mishra, 1 year ago
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
via spark-issues by Hyukjin Kwon (JIRA), 1 year 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), 1 year 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
columns=512 Null value=null Number of records to read=all Parse unescaped quotes=true Row processor=none Selected fields=none Skip empty lines=trueFormat configuration: CsvFormat: Comment character=# Field delimiter=\t Line separator
via GitHub by mumrah
, 1 year ago
whitespaces=true Input buffer size=1048576 Input reading on separate thread=true Keep escape sequences=false Keep quotes=false Length of content displayed on error=-1 Line separator detection enabled=false Maximum number of characters per column
via GitHub by alexanderpanchenko
, 5 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
org.apache.spark.TaskKilledException:
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at org.apache.spark.sql.execution.datasources.csv.StringIteratorReader.refill(CSVParser.scala:167)
at org.apache.spark.sql.execution.datasources.csv.StringIteratorReader.read(CSVParser.scala:195)
at org.apache.spark.sql.execution.datasources.csv.StringIteratorReader.read(CSVParser.scala:215)
at com.univocity.parsers.common.input.DefaultCharInputReader.reloadBuffer(DefaultCharInputReader.java:81)
at com.univocity.parsers.common.input.AbstractCharInputReader.updateBuffer(AbstractCharInputReader.java:118)
at com.univocity.parsers.common.input.AbstractCharInputReader.nextChar(AbstractCharInputReader.java:180)
at com.univocity.parsers.csv.CsvParser.parseValue(CsvParser.java:94)
at com.univocity.parsers.csv.CsvParser.parseField(CsvParser.java:179)
at com.univocity.parsers.csv.CsvParser.parseRecord(CsvParser.java:75)
at com.univocity.parsers.common.AbstractParser.parseNext(AbstractParser.java:328)
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 org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.foreach(CSVParser.scala:120)
at org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.foldLeft(CSVParser.scala:120)
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$35.apply(SparkContext.scala:1827)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:69)
at org.apache.spark.scheduler.Task.run(Task.scala:82)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

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