[
https://issues.apache.org/jira/browse/DATAFU-51?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mathieu Bastian updated DATAFU-51:
----------------------------------
Attachment: DATAFU-51-v2.patch
Fixed Javadoc errors and sourceJar issue after the DATAFU-66 upgrade
> Add DataFu MR project, a lightweight for implementing Java/Scala MapReduce
> jobs
> --------------------------------------------------------------------------------
>
> Key: DATAFU-51
> URL: https://issues.apache.org/jira/browse/DATAFU-51
> Project: DataFu
> Issue Type: New Feature
> Reporter: Mathieu Bastian
> Assignee: Mathieu Bastian
> Attachments: DATAFU-51-v2.patch, DATAFU-51.patch
>
>
> New lightweight framework to develop Java/Scala MapReduce jobs. Inspired from
> Matt's work on Hourglass and my experience in developing Java jobs on Hadoop.
> It's a thin layer on top of the Hadoop API which mostly reduces boilerplate
> code and automate configuration.
> Features (see details on README):
> * Built-in support for Avro input and output formats
> * Though we recommend using Avro, one can use any input/output format class
> * Mapper, reducer and intermediate key/value classes are inferred when
> possible
> * Avro schemas are inferred when using POJO objects
> * Staged output to avoid deleting the existing file if the job fails
> * Estimate the number of reducers needed if not provided
> * Supports `#LATEST` suffix in input paths to work with timestamped folders
--
This message was sent by Atlassian JIRA
(v6.2#6252)
