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https://issues.apache.org/jira/browse/AVRO-1843?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15278750#comment-15278750
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ASF GitHub Bot commented on AVRO-1843:
--------------------------------------

GitHub user rehevkor5 opened a pull request:

    https://github.com/apache/avro/pull/91

    Clarify importance of writer's schema in documentation

    See also: https://issues.apache.org/jira/browse/AVRO-1843

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/rehevkor5/avro avro-1843

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/avro/pull/91.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #91
    
----
commit 1024216a68cdb7ec54ad3d126953755314966588
Author: Shannon Carey <sca...@expedia.com>
Date:   2016-05-10T19:47:13Z

    Clarify importance of writer's schema in documentation

----


> Clarify importance of writer's schema in documentation
> ------------------------------------------------------
>
>                 Key: AVRO-1843
>                 URL: https://issues.apache.org/jira/browse/AVRO-1843
>             Project: Avro
>          Issue Type: Improvement
>          Components: doc
>            Reporter: Shannon Carey
>            Priority: Minor
>
> I'll be submitting a PR with some improvements to the Java Getting Started 
> page as well as the Specification which make it clearer that Avro must read 
> all data with the writer's schema before converting it into the reader's 
> schema and why, and explaining that's why the schema should be available next 
> to serialized data. Currently, it's arguably too easy to misinterpret Avro as 
> only requiring a single, reader's schema in order to read data while still 
> following the resolution rules which make Avro seem similar to JSON 
> (resolution by field name). For example, the Java API examples only appear to 
> involve one schema, hiding the fact that it reads in the writer's schema 
> implicitly. Also, the ability to serialize to JSON (where field names and 
> some type info is present) makes this misconception easy to believe.



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