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https://issues.apache.org/jira/browse/HADOOP-4065?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12631938#action_12631938
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Owen O'Malley commented on HADOOP-4065:
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I've lost the motivation for this. It complicates the public interfaces a lot
and doesn't have any payback.
In our experience, given a file format, the code is pretty independent, but it
is tied to the fragment splitting.
Is the goal of this jira to:
1. Make a generic / self-detecting format?
2. A generic file format?
In either case, changes to the serialization framework seems like serious
overkill.
> support for reading binary data from flat files
> -----------------------------------------------
>
> Key: HADOOP-4065
> URL: https://issues.apache.org/jira/browse/HADOOP-4065
> Project: Hadoop Core
> Issue Type: Bug
> Components: mapred
> Reporter: Joydeep Sen Sarma
> Attachments: HADOOP-4065.0.txt, HADOOP-4065.1.txt, ThriftFlatFile.java
>
>
> like textinputformat - looking for a concrete implementation to read binary
> records from a flat file (that may be compressed).
> it's assumed that hadoop can't split such a file. so the inputformat can set
> splittable to false.
> tricky aspects are:
> - how to know what class the file contains (has to be in a configuration
> somewhere).
> - how to determine EOF (would be nice if hadoop can determine EOF and not
> have the deserializer throw an exception (which is hard to distinguish from
> a exception due to corruptions?)). this is easy for non-compressed streams -
> for compressed streams - DecompressorStream has a useful looking
> getAvailable() call - except the class is marked package private.
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