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From DSailor <>
Subject Bindy - CsvRecord - handling bad records on batch processing
Date Wed, 09 Jun 2010 13:01:43 GMT

My use case says I should process a set of records - delivered via file.
If any of the records has one of more fields which cannot be unmarshalled
(example: text field which cannot be converted to Integer), then, the record
should be placed in an exception queue (EIP pattern - Dead Letter Channel).
Records which can be unmarshalled should continue processing.

To my knowledge, Bindy will unmarshall my file into an object
List<Map<String, Object>>.
If my file has a bad record, I get an exception and processing is rolled
back - Example of exception:  java.lang.IllegalArgumentException: String
provided does not fit the Integer pattern defined or is not parseable,
position : 1, line : 5

How can I continue processing of the "good" records ?

One option I see is to make all attributes of my csvRevord class as String
and run a validation and transformation afterwards on the object created by
Bindy. This approach, unfortunatelly, does not leverage the usage of
conversion provided by Bindy - csv text attribute converted automatically to
a Date object if attribute is of type Date.

Any other option ?

Thanks in advance.
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