You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@camel.apache.org by "Claus Ibsen (Jira)" <ji...@apache.org> on 2022/09/15 08:04:00 UTC

[jira] [Updated] (CAMEL-18512) Camel Bindy, marshaling CSV with more fields than Model

     [ https://issues.apache.org/jira/browse/CAMEL-18512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Claus Ibsen updated CAMEL-18512:
--------------------------------
    Fix Version/s: 3.x

> Camel Bindy, marshaling CSV with more fields than Model
> -------------------------------------------------------
>
>                 Key: CAMEL-18512
>                 URL: https://issues.apache.org/jira/browse/CAMEL-18512
>             Project: Camel
>          Issue Type: Wish
>          Components: camel-bindy
>    Affects Versions: 3.18.2
>            Reporter: Jussi Wallin
>            Priority: Minor
>             Fix For: 3.x
>
>
> Our project has a use-case for Bindy where we would like to define a Model POJO that has less fields than the resulting CSV would have. We tried to achieve this by defining a model with the proper annotations and using the "pos" parameter in the DataField annotations.
> For example you might want to define one field at position 4 and another at position 6. The resulting CSV should then contain an empty field at position 5. We used BeanIO previously and it supported this use-case. Adding dummy fields is fine in simple cases but when a CSV exceeds 100 fields, of which a couple dozen are used, it becomes very cumbersome to handle.
> Specifically the unmarshal obviously works fine, but we are trying to marshal in this case. We are transitioning to using Bindy for all CSV handling and ran into this problem. I believe this would be useful generally.
> Sample project that illustrates this case: [https://github.com/jwwallin/bindy-csv-sample] 



--
This message was sent by Atlassian Jira
(v8.20.10#820010)