Navya Krishnappa created SPARK-21263:
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Summary: Exception is not thrown while converting an invalid
string to float/double
Key: SPARK-21263
URL: https://issues.apache.org/jira/browse/SPARK-21263
Project: Spark
Issue Type: Bug
Components: Java API
Affects Versions: 2.1.1
Reporter: Navya Krishnappa
When reading a below-mentioned data by specifying user-defined schema,
exception is not thrown.
Data
'PatientID','PatientName','TotalBill'
'1000','Patient1','10u000'
'1001','Patient2','30000'
'1002','Patient3','40000'
'1003','Patient4','50000'
'1004','Patient5','60000'
Schema1:
[StructField(PatientID,IntegerType,true),
StructField(PatientName,StringType,true),
StructField(TotalBill,IntegerType,true)]
Result : Throws NumerFormatException
Caused by: java.lang.NumberFormatException: For input string: "10u000"
Schema2:
[StructField(PatientID,IntegerType,true),
StructField(PatientName,StringType,true),
StructField(TotalBill,DoubleType,true)]
Actual Result:
"PatientID": 1000,
"NumberOfVisits": "400",
"TotalBill": 10,
Expected Result: Should throw NumberFormatException for input string "10u000"
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