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https://issues.apache.org/jira/browse/FLINK-26301?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17498109#comment-17498109
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Jing Ge commented on FLINK-26301:
---------------------------------
> How can I use the AvroReadSupport? There is no method to pass configuration
> in AvroParquetReaders nor in AvroParquetRecordFormat
Got your point. Previously, I though it is possible to use the schema like
ClassB.SCHEMA$ in https://stackoverflow.com/a/36871563/4250114 to enable
projection. But it only works for GenericRecord. I would suggest supporting the
projection in the next release. I will document it.
> Experimental is used to mark features that are in early stages of development
> and we are not confident about its readiness for production use. After
> playing around with AvroParquetReaders I find it not ready for production
> use. I don't see any relation with StreamFormat here. E.g. not all connectors
> need to be PublicEvolving from day one, just because the Source API is
> PublicEvolving.
Like I already said previously, agreed to mark AvroParquetReaders as
Experimental. AvroParquetRecordFormat will be package private.
Many thanks for the feedback. The questions are excellent and valuable.
> Test AvroParquet format
> -----------------------
>
> Key: FLINK-26301
> URL: https://issues.apache.org/jira/browse/FLINK-26301
> Project: Flink
> Issue Type: Improvement
> Components: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
> Reporter: Jing Ge
> Assignee: Dawid Wysakowicz
> Priority: Blocker
> Labels: release-testing
> Fix For: 1.15.0
>
>
> The following scenarios are worthwhile to test
> * Start a simple job with None/At-least-once/exactly-once delivery guarantee
> read Avro Generic/sSpecific/Reflect records and write them to an arbitrary
> sink.
> * Start the above job with bounded/unbounded data.
> * Start the above job with streaming/batch execution mode.
>
> This format works with FileSource[2] and can only be used with DataStream.
> Normal parquet files can be used as test files. Schema introduced at [1]
> could be used.
>
> [1]Reference:
> [1][https://nightlies.apache.org/flink/flink-docs-master/docs/connectors/datastream/formats/parquet/]
> [2]
> [https://nightlies.apache.org/flink/flink-docs-master/docs/connectors/datastream/filesystem/]
>
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