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From "Scott Carey (JIRA)" <j...@apache.org>
Subject [jira] [Created] (AVRO-859) Java: Data Flow Overhaul -- Composition and Symmetry
Date Thu, 14 Jul 2011 16:43:00 GMT
Java: Data Flow Overhaul -- Composition and Symmetry
----------------------------------------------------

                 Key: AVRO-859
                 URL: https://issues.apache.org/jira/browse/AVRO-859
             Project: Avro
          Issue Type: New Feature
          Components: java
            Reporter: Scott Carey
            Assignee: Scott Carey


Data flow in Avro is currently broken into two parts:  Read and Write.  These share many common
patterns but almost no common code.  
Additionally, the APIs for this are DatumReader and DatumWriter, which requires that implementations
know how to traverse Schemas and use the Resolver.

This is a proposal to overhaul the inner workings of Avro Java between the Decoder/Encoder
APIs and DatumReader/DatumWriter such that there is significantly more code re-use and much
greater opportunity for new features that can all share in general optimizations and dynamic
code generation.

The two primary concepts involved are:
* _*Functional Composition*_
* _*Symmetry*_

h4. Functional Composition
All read and write operations can be broken into functional bits and composed rather than
writing monolithic classes.  This allows a "DatumWriter2" to be a graph of functions that
pre-compute all state required from a schema rather than traverse a schema for each write.

h4. Symmetry
Avro's data flow can be made symmetric.  Rather than thinking in terms of Read and Write,
think in terms of:
* _*Source*_: Where data that is represented by an Avro schema comes from -- this may be a
Decoder, or an Object graph.
* _*Target*_: Where data that represents an Avro schema is sent -- this may be an Encoder
or an Object graph.

(More detail in the comments)

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