[
https://issues.apache.org/jira/browse/MAPREDUCE-815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12799299#action_12799299
]
Tom White commented on MAPREDUCE-815:
-------------------------------------
bq. If, in the InputFormat we populated the key rather than the value, then one
would not even need to specify InverseMapper: by default, MapReduce would
simply partition and sort Avro data.
I like this. It is the approach I was taking on MAPREDUCE-252.
> Add AvroInputFormat and AvroOutputFormat so that hadoop can use Avro
> Serialization
> ----------------------------------------------------------------------------------
>
> Key: MAPREDUCE-815
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-815
> Project: Hadoop Map/Reduce
> Issue Type: New Feature
> Reporter: Ravi Gummadi
> Assignee: Aaron Kimball
>
> MapReduce needs AvroInputFormat similar to other InputFormats like
> TextInputFormat to be able to use avro serialization in hadoop. Similarly
> AvroOutputFormat is needed.
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
