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https://issues.apache.org/jira/browse/SLING-2707?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13580754#comment-13580754
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Alexander Klimetschek commented on SLING-2707:
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Ok, good, so reusing RANGE with POST and PATCH is not a feasible,
spec-compliant option.
Then I would prefer something like c) which is baked right into the Sling POST
servlet, as an extension to the existing file upload support [0], which works
with multipart/form-data:
file=<partial binary>
file@RangeStart=<bytes>
file@RangeEnd=<bytes>
I am not sure if the complexity of storing and maintaining the chunks
temporarily in the file system is worth it - considering improvements that Oak
(Jackrabbit 3) will bring. I'd like to see the binary being stored in JCR right
away.
It could be updated every time a new chunk is added (the missing parts might be
filled with zeros) and a special node type (sling:PartialFile < nt:file) might
indicate that it's not finished and keep the already-uploaded ranges in e.g. a
multi-value property. Alternatively, it could be a set of child nt:file nodes
each holding a chunk (and maybe encoding the range in the node name, e.g.
"1000-2500").
[0]
http://sling.apache.org/site/manipulating-content-the-slingpostservlet-servletspost.html#ManipulatingContent-TheSlingPostServlet%28servlets.post%29-FileUploads
> Support of chunked file upload into Sling
> -----------------------------------------
>
> Key: SLING-2707
> URL: https://issues.apache.org/jira/browse/SLING-2707
> Project: Sling
> Issue Type: New Feature
> Components: General
> Reporter: Shashank Gupta
> Attachments: uploadclient.jar
>
>
> Use cases:
> 1. Large file upload - With high speed internet connections, advent of cloud
> and HD going mainstream, Sling should support large files (> 2GB) upload.
> 2. Fault tolerant uploads - Sling should provide capability to resume upload
> from failure point. It should not require client to restart the complete
> upload process.
> 3. Faster upload: Sling should support its clients to initiate multiple
> connection and upload file chunks in parallel.
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