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https://issues.apache.org/jira/browse/HBASE-11339?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14348362#comment-14348362
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Jonathan Hsieh commented on HBASE-11339:
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Hi [~Wilm]. This feature is called MOB -- focused on cells that are 100k-10MB
in size (possibly slightly larger than than). Currently large objects (we'll
define those to be >10MB) are problematic because we lack a streaming api to
handle breaking rpc requests up to efficiently ship data from the server side
to the client side. While they are hypothetically possible with the current
api, the will cause large memory allocations that will stress the memory
systems of both the servers and the clients.
We may try to address cases with larger blobs in the future, but for now we're
limiting our scope.
> HBase MOB
> ---------
>
> Key: HBASE-11339
> URL: https://issues.apache.org/jira/browse/HBASE-11339
> Project: HBase
> Issue Type: Umbrella
> Components: regionserver, Scanners
> Affects Versions: 2.0.0
> Reporter: Jingcheng Du
> Assignee: Jingcheng Du
> Fix For: hbase-11339
>
> Attachments: HBase MOB Design-v2.pdf, HBase MOB Design-v3.pdf, HBase
> MOB Design-v4.pdf, HBase MOB Design.pdf, MOB user guide.docx, MOB user
> guide_v2.docx, MOB user guide_v3.docx, MOB user guide_v4.docx, MOB user
> guide_v5.docx, hbase-11339-in-dev.patch, merge-150212.patch,
> merge.150212b.patch, merge.150212c.patch
>
>
> It's quite useful to save the medium binary data like images, documents
> into Apache HBase. Unfortunately directly saving the binary MOB(medium
> object) to HBase leads to a worse performance since the frequent split and
> compaction.
> In this design, the MOB data are stored in an more efficient way, which
> keeps a high write/read performance and guarantees the data consistency in
> Apache HBase.
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