You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@cxf.apache.org by "Sergey Beryozkin (JIRA)" <ji...@apache.org> on 2016/02/16 13:25:18 UTC

[jira] [Updated] (CXF-6362) CXF and BigData platform integration

     [ 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)