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https://issues.apache.org/jira/browse/HADOOP-941?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12468395
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Doug Cutting commented on HADOOP-941:
-------------------------------------

> It is not clear that Hadoop considers the record io a stable interface to be 
> used outside of Hadoop.

All public features in Hadoop's core are subject to the same back-compatibility 
goals.  Someone who uses just records should be on no less stable ground than 
someone who uses just HDFS.

My recommendation would be to simply include hadoop's jar in your project and 
to submit patches to hadoop if there are record features that you'd like to 
add.  If a sufficiently large, independent community of record users develops, 
then it might someday make sense to split it into a separate project, with its 
own releases, committers, etc.  But in the meantime I think forking your own 
version will prove inconvenient, and I doubt there is yet a critical mass to 
support a separate project.


> Make Hadoop Record I/O Easier to use outside Hadoop
> ---------------------------------------------------
>
>                 Key: HADOOP-941
>                 URL: https://issues.apache.org/jira/browse/HADOOP-941
>             Project: Hadoop
>          Issue Type: Improvement
>          Components: record
>    Affects Versions: 0.10.1
>         Environment: All
>            Reporter: Milind Bhandarkar
>         Assigned To: Milind Bhandarkar
>             Fix For: 0.11.0
>
>
> Hadoop record I/O can be used effectively outside of Hadoop. It would 
> increase its utility if developers can use it without having to import hadoop 
> classes, or having to depend on Hadoop jars. Following changes to the current 
> translator and runtime are proposed.
> Proposed Changes:
> 1. Use java.lang.String as a native type for ustring (instead of Text.)
> 2. Provide a Buffer class as a native Java type for buffer (instead of 
> BytesWritable), so that later BytesWritable could be implemented as following 
> DDL:
> module org.apache.hadoop.io {
>   record BytesWritable {
>     buffer value;
>   }
> }
> 3. Member names in generated classes should not have prefixes 'm' before 
> their names. In the above example, the private member name would be 'value' 
> not 'mvalue' as it is done now.
> 4. Convert getters and setters to have CamelCase. e.g. in the above example 
> the getter will be:
>   public Buffer getValue();
> 5. Provide a 'swiggable' C binding, so that processing the generated C code 
> with swig allows it to be used in scripting languages such as Python and Perl.
> 6. The default --language="java" target would generate class code for records 
> that would not have Hadoop dependency on WritableComparable interface, but 
> instead would have "implements Record, Comparable". (i.e. It will not have 
> write() and readFields() methods.) An additional option "--writable" will 
> need to be specified on rcc commandline to generate classes that "implements 
> Record, WritableComparable".
> 7. Optimize generated write() and readFields() methods, so that they do not 
> have to create BinaryOutputArchive or BinaryInputArchive every time these 
> methods are called on a record.
> 8. Implement ByteInStream and ByteOutStream for C++ runtime, as they will be 
> needed for using Hadoop Record I/O with forthcoming C++ MapReduce framework 
> (currently, only FileStreams are provided.)
> 9. Generate clone() methods for records in Java i.e. the generated classes 
> should implement Cloneable.
> 10. As part of Hadoop build process, produce a tar bundle for Record I/O 
> alone. This tar bundle will contain the translator classes and ant task 
> (lib/rcc.jar), translator script (bin/rcc), Java runtime (recordio.jar) that 
> includes org.apache.hadoop.record.*, sources for the java runtime (src/java), 
> and c/c++ runtime sources with Makefiles (src/c++, src/c).
> 11. Make generated Java codes for maps and vectors use Java generics.
> These are the proposed user-visible changes. Internally, the translator will 
> be restructured so that it is easier to plug-in translators for different 
> targets.

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