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https://issues.apache.org/jira/browse/HADOOP-1986?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12536322
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Tom White commented on HADOOP-1986:
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> Clients which wish to reuse objects can, the first time, pass null.
Except there might not be enough type information to construct an object. For
example if a WritableSerializer were deserializing a LongWritable how would it
know to create a LongWritable object?
> In the case of Writable, setOutput would just set the protected 'out' field
> of a DataOutputStream, and this
> would all work fine. That could be instead done on each call to a
> 'serialize(Object, OutputStream)' method,
> but perhaps its better to factor it out of inner loops. Is that the intent?
>From an API point of view I prefer serialize(Object, OutputStream), but it's
>not clear to me that you can implement this efficiently for any serialization
>framework. For example, I don't think the technique you describe of setting
>the 'out' field would work for Java Serialization. And creating a new
>ObjectOutputStream for every call to the serialize(Object, OutputStream)
>method would be prohibitive. So unless there's another way of getting round
>this then I think we're stuck with stateful serializers. (I'd love to be
>proved wrong on this!)
> Add support for a general serialization mechanism for Map Reduce
> ----------------------------------------------------------------
>
> Key: HADOOP-1986
> URL: https://issues.apache.org/jira/browse/HADOOP-1986
> Project: Hadoop
> Issue Type: New Feature
> Components: mapred
> Reporter: Tom White
> Assignee: Tom White
> Fix For: 0.16.0
>
> Attachments: SerializableWritable.java, serializer-v1.patch
>
>
> Currently Map Reduce programs have to use WritableComparable-Writable
> key-value pairs. While it's possible to write Writable wrappers for other
> serialization frameworks (such as Thrift), this is not very convenient: it
> would be nicer to be able to use arbitrary types directly, without explicit
> wrapping and unwrapping.
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