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https://issues.apache.org/jira/browse/CXF-6219?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14291789#comment-14291789
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Sergey Beryozkin edited comment on CXF-6219 at 1/26/15 12:55 PM:
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Sorry if it is off-topic. For my own future work (JWS/JWE compact read 
optimization) I'll need to add a Base64 InputStream filter for the base64 
decoding occur only when IS is read. 
I wonder if having such a reader used may help in your case if a base64 field 
is represented as DataSource or InputStream ?


was (Author: sergey_beryozkin):
Sorry if it is off-topic. For my own future work (JWS/JWE compact read 
optimization) I'll need to add a Base64 InputStream filter for the base64 
decoding occur only when IS is read. 
I wonder if having such a reader used may help in your case if a base64 field 
is repesented as DataSource or InputStream ?

> Handling concurrent Base64 files causes memory overflow
> -------------------------------------------------------
>
>                 Key: CXF-6219
>                 URL: https://issues.apache.org/jira/browse/CXF-6219
>             Project: CXF
>          Issue Type: Improvement
>          Components: Soap Binding, WS-* Components
>    Affects Versions: 2.7.4
>         Environment: Production
>            Reporter: Abel Salgado Romero
>              Labels: documentation
>
> In a previous issue (https://issues.apache.org/jira/browse/CXF-5912) we were 
> advised to update CXF version to avoid OOM errors.
> We did so (to 2.74) and the problem was fixed, we also applied a size limit 
> of 20MB using the `org.apache.cxf.stax.maxTextLength` property.
> However, the memory consumption in the server is extremely higher than the 
> actual data sent, having 1GB of Heap we get OOM sending just 6 concurrent 
> requests of 20 MB.
> Reviewing some documents and other JIRA issues, we understand that Base64 is 
> not optimized and not recomended. Can you confirm if this is the case or if 
> there is a way to optimize how Base64 attachments are processed.
> Otoh, MTOM works like a charm ;)



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