[jira] [Updated] (SPARK-18600) BZ2 CRC read error needs better reporting
[
https://issues.apache.org/jira/browse/SPARK-18600?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Herman van Hovell updated SPARK-18600:
--
Labels: spree (was: )
> BZ2 CRC read error needs better reporting
> -
>
> Key: SPARK-18600
> URL: https://issues.apache.org/jira/browse/SPARK-18600
> Project: Spark
> Issue Type: Improvement
> Components: SQL
>Reporter: Charles R Allen
>Priority: Minor
> Labels: spree
>
> {code}
> 16/11/25 20:05:03 ERROR InsertIntoHadoopFsRelationCommand: Aborting job.
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 148
> in stage 5.0 failed 1 times, most recent failure: Lost task 148.0 in stage
> 5.0 (TID 5945, localhost): org.apache.spark.SparkException: Task failed while
> writing rows
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:261)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: com.univocity.parsers.common.TextParsingException:
> java.lang.IllegalStateException - Error reading from input
> Parser Configuration: CsvParserSettings:
> Auto configuration enabled=true
> Autodetect column delimiter=false
> Autodetect quotes=false
> Column reordering enabled=true
> Empty value=null
> Escape unquoted values=false
> Header extraction enabled=null
> Headers=[INTERVALSTARTTIME_GMT, INTERVALENDTIME_GMT, OPR_DT, OPR_HR,
> NODE_ID_XML, NODE_ID, NODE, MARKET_RUN_ID, LMP_TYPE, XML_DATA_ITEM,
> PNODE_RESMRID, GRP_TYPE, POS, VALUE, OPR_INTERVAL, GROUP]
> Ignore leading whitespaces=false
> Ignore trailing whitespaces=false
> Input buffer size=128
> Input reading on separate thread=false
> Keep escape sequences=false
> Line separator detection enabled=false
> Maximum number of characters per column=100
> Maximum number of columns=20480
> Normalize escaped line separators=true
> Null value=
> Number of records to read=all
> Row processor=none
> RowProcessor error handler=null
> Selected fields=none
> Skip empty lines=true
> Unescaped quote handling=STOP_AT_DELIMITERFormat configuration:
> CsvFormat:
> Comment character=\0
> Field delimiter=,
> Line separator (normalized)=\n
> Line separator sequence=\n
> Quote character="
> Quote escape character=\
> Quote escape escape character=null
> Internal state when error was thrown: line=27089, column=13, record=27089,
> charIndex=4451456, headers=[INTERVALSTARTTIME_GMT, INTERVALENDTIME_GMT,
> OPR_DT, OPR_HR, NODE_ID_XML, NODE_ID, NODE, MARKET_RUN_ID, LMP_TYPE,
> XML_DATA_ITEM, PNODE_RESMRID, GRP_TYPE, POS, VALUE, OPR_INTERVAL, GROUP]
> at
> com.univocity.parsers.common.AbstractParser.handleException(AbstractParser.java:302)
> at
> com.univocity.parsers.common.AbstractParser.parseNext(AbstractParser.java:431)
> at
> org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.next(CSVParser.scala:148)
> at
> org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.next(CSVParser.scala:131)
> at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
> at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at
> org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$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:370)
> at
> org.apache.spark.sql.execu
[jira] [Updated] (SPARK-18600) BZ2 CRC read error needs better reporting
[
https://issues.apache.org/jira/browse/SPARK-18600?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen updated SPARK-18600:
--
Priority: Minor (was: Major)
Description:
{code}
16/11/25 20:05:03 ERROR InsertIntoHadoopFsRelationCommand: Aborting job.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 148 in
stage 5.0 failed 1 times, most recent failure: Lost task 148.0 in stage 5.0
(TID 5945, localhost): org.apache.spark.SparkException: Task failed while
writing rows
at
org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:261)
at
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
at
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: com.univocity.parsers.common.TextParsingException:
java.lang.IllegalStateException - Error reading from input
Parser Configuration: CsvParserSettings:
Auto configuration enabled=true
Autodetect column delimiter=false
Autodetect quotes=false
Column reordering enabled=true
Empty value=null
Escape unquoted values=false
Header extraction enabled=null
Headers=[INTERVALSTARTTIME_GMT, INTERVALENDTIME_GMT, OPR_DT, OPR_HR,
NODE_ID_XML, NODE_ID, NODE, MARKET_RUN_ID, LMP_TYPE, XML_DATA_ITEM,
PNODE_RESMRID, GRP_TYPE, POS, VALUE, OPR_INTERVAL, GROUP]
Ignore leading whitespaces=false
Ignore trailing whitespaces=false
Input buffer size=128
Input reading on separate thread=false
Keep escape sequences=false
Line separator detection enabled=false
Maximum number of characters per column=100
Maximum number of columns=20480
Normalize escaped line separators=true
Null value=
Number of records to read=all
Row processor=none
RowProcessor error handler=null
Selected fields=none
Skip empty lines=true
Unescaped quote handling=STOP_AT_DELIMITERFormat configuration:
CsvFormat:
Comment character=\0
Field delimiter=,
Line separator (normalized)=\n
Line separator sequence=\n
Quote character="
Quote escape character=\
Quote escape escape character=null
Internal state when error was thrown: line=27089, column=13, record=27089,
charIndex=4451456, headers=[INTERVALSTARTTIME_GMT, INTERVALENDTIME_GMT, OPR_DT,
OPR_HR, NODE_ID_XML, NODE_ID, NODE, MARKET_RUN_ID, LMP_TYPE, XML_DATA_ITEM,
PNODE_RESMRID, GRP_TYPE, POS, VALUE, OPR_INTERVAL, GROUP]
at
com.univocity.parsers.common.AbstractParser.handleException(AbstractParser.java:302)
at
com.univocity.parsers.common.AbstractParser.parseNext(AbstractParser.java:431)
at
org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.next(CSVParser.scala:148)
at
org.apache.spark.sql.execution.datasources.csv.BulkCsvReader.next(CSVParser.scala:131)
at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$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:370)
at
org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply$mcV$sp(WriterContainer.scala:253)
at
org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
at
org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1345)
at
org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeR
