Errors that can be skipped

The errors that can be skipped are shown in the following table.

Table 7.12 Errors that can be skipped
Errors that can be skipped	Description	Remarks
Date format conversion error	Date format conversion error due to an invalid value being input in the field
Date operation error	Operation error of the date format due to an invalid value being input in the field
Variable error	Error when assigning a value to a variable due to an invalid value being input in the field
Enclosure character invalid	Error due to an invalid enclosure character in the data	This applies only to CSV format input files.
Number of fields of input file invalid	The number of fields that can be handled (1,000 fields) in DataMagic was exceeded, or the number of fields defined in the CSV format information is not equal to the number of fields in the input file
Data conversion error	Data conversion error due to an inconsistency between the input data and the data format information
Overflow	Overflow that occurs during data conversion
Function error	Data in a function that was passed to an argument was invalid (invalid type or invalid value)	Function errors due to mistakes in specified values (function execution errors not caused by input data) cannot be skipped.
Custom error condition	Includes all the errors that match the custom error condition
Numeric operation error	Overflow in numeric operations or division by 0
Character code conversion error	Character code conversion error of input data
Data length error	Error due to the output of data whose length exceeds the data length defined in the field of an output file