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From "Sergey Beryozkin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (CXF-6362) CXF and BigData platform integration
Date Tue, 16 Feb 2016 12:25:18 GMT

     [ https://issues.apache.org/jira/browse/CXF-6362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sergey Beryozkin updated CXF-6362:
----------------------------------
    Fix Version/s:     (was: NeedMoreInfo)
                   3.2.0

Perhaps something around micro-containers, etc ?

> CXF and BigData platform integration
> ------------------------------------
>
>                 Key: CXF-6362
>                 URL: https://issues.apache.org/jira/browse/CXF-6362
>             Project: CXF
>          Issue Type: New Feature
>          Components: Integration
>            Reporter: Sergey Beryozkin
>             Fix For: 3.2.0
>
>
> CXF should be able to run in a native mode on top of the leading BigData platforms. 
> Typical use case:
> CXF serves as a frontend which accepts the data that are pushed into a BigData runtime.
CXF streams back the result data (via WebSockets, HTTP/2, even plain HTTP, other transports).
> Right now CXF and Big Data runtimes will run in its own processes/containers. For example,
CXF offers an HBase search extension. The CXF server will create an HBase query and use a
remote HBase client to fetch some data - this is sub-optimal.
> Not clear yet how to address such an integration or what platform to start with, Spark
or Hadoop.



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