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https://issues.apache.org/jira/browse/HADOOP-6165?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12742981#action_12742981
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Doug Cutting commented on HADOOP-6165:
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> So there'd just be a single AvroSerialization?
Perhaps. An alternative might be to have three: reflect, specific and generic.
Each could accept records if they have the right base class. But if you read
a file that was written with, e.g., specific and don't have that class, or data
written by python, that names no class, then you'd be unable to read that data.
Also, with Avro, you're not tied to records as the schema: values could be a
union, a map, or an array.
If the data was written with reflect or specific, and you have the class used
to write it loaded, then its probably best to use that. But in all other cases
generic is probably your best bet. I guess this could be implemented by
placing generic last on the list, so that it accepts anything that has an avro
schema, with specific and reflect picking off things that have classes loaded.
Is that better? I don't have a strong feeling.
> Add metadata to Serializations
> ------------------------------
>
> Key: HADOOP-6165
> URL: https://issues.apache.org/jira/browse/HADOOP-6165
> Project: Hadoop Common
> Issue Type: New Feature
> Components: contrib/serialization
> Reporter: Tom White
> Assignee: Tom White
> Priority: Blocker
> Fix For: 0.21.0
>
> Attachments: HADOOP-6165-v2.patch, HADOOP-6165.patch
>
>
> The Serialization framework only allows a class to be passed as metadata.
> This assumes there is a one-to-one mapping between types and Serializations,
> which is overly restrictive. By permitting applications to pass arbitrary
> metadata to Serializations, they can get more control over which
> Serialization is used, and would also allow, for example, one to pass an Avro
> schema to an Avro Serialization.
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