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https://issues.apache.org/jira/browse/HBASE-8016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13595437#comment-13595437
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Andrew Purtell commented on HBASE-8016:
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On this:
bq. An application using this library would gain all of the advantages of HBase
without adding any additional administrative complexity of managing HBase as a
distributed service.
I'm skeptical. Since HBase is by definition a distributed datastore, and gains
most (if not just about all) of its advantages from being a distributed
service, I don't see how one does not use "LevelHBase" to gain all the
advantages of HBase without building a distributed service which incorporates
it. How does this avoid "additional administrative complexity?" At which point
you have a new datastore which might by chance incorporate some HBase code.
TANSTAAFL
> HBase as an embeddable library, but still using HDFS
> ----------------------------------------------------
>
> Key: HBASE-8016
> URL: https://issues.apache.org/jira/browse/HBASE-8016
> Project: HBase
> Issue Type: Wish
> Reporter: eric baldeschwieler
>
> This goes in the "strange idea" bucket...
> I'm looking for a tool to allow folks to store key-value data into HDFS so
> that hadoop companion layers & apps don't need to rely either on external
> database or a NoSQL store. HBase itself is often not running on such
> clusters and we can not add it as a requirement for many of the use cases I'm
> considering.
> But... what if we produced a library that provided the basic HBase API
> (creating tables & putting / getting values...) and this library was pointed
> at HDFS for durability. This library would effectively embed a region server
> and the the master in a node and provide only API level access within that
> JVM. We would skip marshaling & networking, gaining a fair amount of
> efficiency. An application using this library would gain all of the
> advantages of HBase without adding any additional administrative complexity
> of managing HBase as a distributed service.
> Thoughts?
> Example use cases... Right now a typical hadoop install runs serval services
> that use databases (Oozie, HCat, Hive ...). What if some of these could be
> ported to use HDFS itself as their store with the HBase API provided to
> manage their data.
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