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Date: Mon, 26 Jan 2015 12:55:35 +0000 (UTC)
From: "Sergey Beryozkin (JIRA)" <jira@apache.org>
To: issues@cxf.apache.org
Message-ID: <JIRA.12769630.1422016435000.172401.1422276935085@Atlassian.JIRA>
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 <JIRA.12769630.1422016435056@arcas>
Subject: [jira] [Commented] (CXF-6219) Handling concurrent Base64 files
 causes memory overflow
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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 ] 

Sergey Beryozkin commented on CXF-6219:
---------------------------------------

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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