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Posted to issues@cxf.apache.org by "Sergey Beryozkin (JIRA)" <ji...@apache.org> on 2015/04/21 13:09:59 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:
----------------------------------
Description:
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.
was:
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 serach 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 ?
> 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: NeedMoreInfo
>
>
> 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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