[
https://issues.apache.org/jira/browse/METAMODEL-148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Kasper Sørensen resolved METAMODEL-148.
---------------------------------------
Resolution: Fixed
Fixed as of commit
https://git-wip-us.apache.org/repos/asf?p=metamodel.git;a=commit;h=6cf39add29cebf0787e81399ec6c3b9b150ff262
> Add a HdfsResource implementation
> ---------------------------------
>
> Key: METAMODEL-148
> URL: https://issues.apache.org/jira/browse/METAMODEL-148
> Project: Apache MetaModel
> Issue Type: New Feature
> Reporter: Kasper Sørensen
> Assignee: Kasper Sørensen
>
> I suggest to implement a Resource class that will allow reading and writing
> files in Hadoop's HDFS file system.
> Background:
> Many of the file-based DataContext implementations we have accept a Resource
> - an interface which abstracts the file system. We currently have
> implementations like FileResource, UrlResource, ClasspathResource.
> A request I get often is to also support Hadoop. Now obviously the ideal
> Hadoop integration would not even imply using MetaModel's query-based
> approach to data access, but for many simple use cases it is actually not
> that important whether the job runs natively in Hadoop (for example in
> Map-Reduce) or if the process simply fetches the file over the wire. I have
> seen many cases of small-ish CSV files on Hadoop for example, where it would
> actually be quicker to run through the file on a client than submitting a job
> to Hadoop.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)