[
https://issues.apache.org/jira/browse/SPARK-20387?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Navya Krishnappa reopened SPARK-20387:
--------------------------------------
Source File:
'Col1','Col2','Col3','Col4','Col5','Col6',
'1000','abc','10yui000','400','20.8','2003-03-04',
'1001','xyz','30000','4000','20.8','2003-03-04',
'1002','abc','40000','40,000','20.8','2003-03-04'
'1003','xyz','50000','40,0000','20.8','2003-03-04'
'1004','abc','60000','40,000','20.8','2003-03-04'
User_defined_Schema:
[{
"dataType": "integer",
"type": "Measure",
"name": "Col1"
},
{
"dataType": "string",
"type": "Dimension",
"name": "Col2"
},
{
"dataType": "float",
"type": "Measure",
"name": "Col3"
},
{
"dataType": "string",
"type": "Dimension",
"name": "Col4"
},
{
"dataType": "double",
"type": "Measure",
"name": "Col5"
},
{
"dataType": "date",
"type": "Dimension",
"name": "Col6"
},
{
"dataType": "string",
"type": "Dimension",
"name": "_c6"
}
Source code1:
Dataset dataset =sparkSession.read().schema(User_defined_Schema)
.option(PARSER_LIB, "commons")
.option(DELIMITER, ",")
.option(QUOTE, "\"")
.option(MODE, Mode.PERMISSIVE)
.csv(sourceFile);
dataset.collect();
Result: 10yui000 is parsed as 10
Row : '1000','abc','10','400','20.8','2003-03-04',
Expected: According to the PERMISSIVE mode, 10yui000 should be replaced with
null.
> 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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