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https://issues.apache.org/jira/browse/SPARK-20387?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16249508#comment-16249508
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Sean Owen commented on SPARK-20387:
-----------------------------------
That's not the same example. I believe the underlying number parsing from the
JDK will parse, in permissive move, anything it can as a string as a number and
ignore the rest. I think that's consistent then. [~hyukjin.kwon]?
There also appears to be a problem with your input -- extra blank column.
> Permissive mode is not replacing corrupt record with null
> ---------------------------------------------------------
>
> Key: SPARK-20387
> URL: https://issues.apache.org/jira/browse/SPARK-20387
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 2.1.0
> Reporter: Navya Krishnappa
>
> When reading the below mentioned time value by specifying "mode" as
> PERMISSIVE.
> Source File:
> String,int,f1,bool1
> abc,23111,23.07738,true
> abc,23111,23.07738,true
> abc,23111,true,true
> Source code1:
> Dataset dataset = getSqlContext().read()
> .option(PARSER_LIB, "commons")
> .option(INFER_SCHEMA, "true")
> .option(DELIMITER, ",")
> .option(QUOTE, "\"")
> .option(MODE, Mode.PERMISSIVE)
> .csv(sourceFile);
> dataset.collect();
> Result: Error is thrown
> stack trace:
> ERROR Executor: Exception in task 0.0 in stage 15.0 (TID 15)
> java.lang.IllegalArgumentException: For input string: "23.07738"
> at
> scala.collection.immutable.StringLike$class.parseBoolean(StringLike.scala:290)
> at
> scala.collection.immutable.StringLike$class.toBoolean(StringLike.scala:260)
> at scala.collection.immutable.StringOps.toBoolean(StringOps.scala:29)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVTypeCast$.castTo(CSVInferSchema.scala:270)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVRelation$$anonfun$csvParser$3.apply(CSVRelation.scala:125)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVRelation$$anonfun$csvParser$3.apply(CSVRelation.scala:94)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1$$anonfun$apply$2.apply(CSVFileFormat.scala:167)
> at
> org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1$$anonfun$apply$2.apply(CSVFileFormat.scala:166)
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