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https://issues.apache.org/jira/browse/SPARK-18877?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15753716#comment-15753716
]
Navya Krishnappa commented on SPARK-18877:
------------------------------------------
I'm reading through csvReader (.csv(sourceFile)) and i'm not setting any
precision and scale, Spark is automatically detecting the precision and scale
for the values in the source file. And precision and scale vary depending on
the decimal values in the column.
Stack trace:
Caused by: java.lang.IllegalArgumentException: requirement failed: Decimal
precision 28 exceeds max precision 20
at scala.Predef$.require(Predef.scala:224)
at org.apache.spark.sql.types.Decimal.set(Decimal.scala:112)
at org.apache.spark.sql.types.Decimal$.apply(Decimal.scala:425)
at
org.apache.spark.sql.execution.datasources.csv.CSVTypeCast$.castTo(CSVInferSchema.scala:264)
at
org.apache.spark.sql.execution.datasources.csv.CSVRelation$$anonfun$csvParser$3.apply(CSVRelation.scala:116)
at
org.apache.spark.sql.execution.datasources.csv.CSVRelation$$anonfun$csvParser$3.apply(CSVRelation.scala:85)
at
org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1$$anonfun$apply$2.apply(CSVFileFormat.scala:128)
at
org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1$$anonfun$apply$2.apply(CSVFileFormat.scala:127)
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.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:128)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$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 scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 common frames omitted
> Unable to read given csv data. Excepion: java.lang.IllegalArgumentException:
> requirement failed: Decimal precision 28 exceeds max precision 20
> ----------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-18877
> URL: https://issues.apache.org/jira/browse/SPARK-18877
> Project: Spark
> Issue Type: Bug
> Affects Versions: 2.0.2
> Reporter: Navya Krishnappa
>
> When reading below mentioned csv data, even though the maximum decimal
> precision is 38, following exception is thrown
> java.lang.IllegalArgumentException: requirement failed: Decimal precision 28
> exceeds max precision 20
> Decimal
> 2323366225312000000000000000
> 24335739714000000
> 23233662253000
> 232336622530000
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