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https://issues.apache.org/jira/browse/FLINK-8240?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16339532#comment-16339532
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ASF GitHub Bot commented on FLINK-8240:
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Github user twalthr commented on the issue:
https://github.com/apache/flink/pull/5240
Thanks for the feedback @fhueske. I hope I could address most of it. I
think we should merge this PR (if you agree) and add more PRs for this issue as
the next steps. I suggest the following subtasks:
- Add validation for the CSV format
- Add full CsvTableSourceFactory support (incl. proctime, rowtime, and
schema mapping)
- Add a JSON schema parser to the JSON and logic for creating a table
source from it
- Add validation for the JSON format
- Add validation for the Rowtime descriptor
- Add validation for StreamTableDescriptor
- Add validation for BatchTableDescriptor
- Add KafkaTableSource factories
What do you think?
> Create unified interfaces to configure and instatiate TableSources
> ------------------------------------------------------------------
>
> Key: FLINK-8240
> URL: https://issues.apache.org/jira/browse/FLINK-8240
> Project: Flink
> Issue Type: New Feature
> Components: Table API & SQL
> Reporter: Timo Walther
> Assignee: Timo Walther
> Priority: Major
>
> At the moment every table source has different ways for configuration and
> instantiation. Some table source are tailored to a specific encoding (e.g.,
> {{KafkaAvroTableSource}}, {{KafkaJsonTableSource}}) or only support one
> encoding for reading (e.g., {{CsvTableSource}}). Each of them might implement
> a builder or support table source converters for external catalogs.
> The table sources should have a unified interface for discovery, defining
> common properties, and instantiation. The {{TableSourceConverters}} provide a
> similar functionality but use an external catalog. We might generialize this
> interface.
> In general a table source declaration depends on the following parts:
> {code}
> - Source
> - Type (e.g. Kafka, Custom)
> - Properties (e.g. topic, connection info)
> - Encoding
> - Type (e.g. Avro, JSON, CSV)
> - Schema (e.g. Avro class, JSON field names/types)
> - Rowtime descriptor/Proctime
> - Watermark strategy and Watermark properties
> - Time attribute info
> - Bucketization
> {code}
> This issue needs a design document before implementation. Any discussion is
> very welcome.
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