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Posted to dev@avro.apache.org by "clesaec (via GitHub)" <gi...@apache.org> on 2023/07/21 07:54:22 UTC

[GitHub] [avro] clesaec opened a new pull request, #2375: Avro 3805 parse multiple schema

clesaec opened a new pull request, #2375:
URL: https://github.com/apache/avro/pull/2375

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   ## What is the purpose of the change
   
   [AVRO-3805](https://issues.apache.org/jira/browse/AVRO-3805) : Schema parser can compile several file at a time, allowing one file to use a type define in another file without worring about order of parsing.
   This capabilities is used by maven plugin.
   
   
   ## Verifying this change
   
   New unit test on schema parser and on maven-plugin.
   
   
   ## Documentation
   
   - Does this pull request introduce a new feature? (no)
   - If yes, how is the feature documented? (not applicable)
   


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[GitHub] [avro] opwvhk merged pull request #2375: AVRO-3805: Parse multiple schema

Posted by "opwvhk (via GitHub)" <gi...@apache.org>.
opwvhk merged PR #2375:
URL: https://github.com/apache/avro/pull/2375


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[GitHub] [avro] opwvhk commented on pull request #2375: Avro 3805 parse multiple schema

Posted by "opwvhk (via GitHub)" <gi...@apache.org>.
opwvhk commented on PR #2375:
URL: https://github.com/apache/avro/pull/2375#issuecomment-1680453105

   This problem has been solved in another way for IDL files, by implementing an 'unresolved' schema (see `org.apache.avro.idl.SchemaResolver#unresolvedSchema(String)` in `avro-compiler`).
   
   Then, after all files have been parsed, these unresolved schemata are replaced by the actual schema (throwing if it doesn't exist).
   
   Do you have a preference for one solution over the other?
   


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[GitHub] [avro] clesaec commented on pull request #2375: Avro 3805 parse multiple schema

Posted by "clesaec (via GitHub)" <gi...@apache.org>.
clesaec commented on PR #2375:
URL: https://github.com/apache/avro/pull/2375#issuecomment-1680572035

   As "unresolvedSchema" sounds like "Schema with errors", i prefer the solution in this PR, scan all schemas first without fields for record schema, and second step is to scan record fields.


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