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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. -- This message was sent by Atlassian JIRA (v6.3.4#6332)