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https://issues.apache.org/jira/browse/FLINK-9964?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16577444#comment-16577444
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ASF GitHub Bot commented on FLINK-9964:
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buptljy opened a new pull request #6541: [FLINK-9964][Table API & SQL] - Add a
CSV table format factory
URL: https://github.com/apache/flink/pull/6541
## What is the purpose of the change
Add a csv table format factory which can be used by connectors like kafka.
## Brief change log
- Create a flink-csv module in flink-formats module.
- jackson-dataformat-csv is imported to support RFC 4180 standards.
- CsvRowFormatFactory, CsvRowSchemaConverter, CsvRowDeserializationSchema
and CsvRowSerializationSchema is added.
- add three attributes into Csv: array elements delimiter, escape character
and bytes charset.
## Verifying this change
- Unit tests for CsvRowFormatFactory, CsvRowSchemaConverter,
CsvRowDeserializationSchema and CsvRowSerializationSchema.
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): yes
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: yes
- The serializers: (yes / no / don't know)no
- The runtime per-record code paths (performance sensitive): no
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Yarn/Mesos, ZooKeeper: no
- The S3 file system connector: no
## Documentation
- Does this pull request introduce a new feature? no
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> Add a CSV table format factory
> ------------------------------
>
> Key: FLINK-9964
> URL: https://issues.apache.org/jira/browse/FLINK-9964
> Project: Flink
> Issue Type: Sub-task
> Components: Table API & SQL
> Reporter: Timo Walther
> Assignee: buptljy
> Priority: Major
> Labels: pull-request-available
>
> We should add a RFC 4180 compliant CSV table format factory to read and write
> data into Kafka and other connectors. This requires a
> {{SerializationSchemaFactory}} and {{DeserializationSchemaFactory}}. How we
> want to represent all data types and nested types is still up for discussion.
> For example, we could flatten and deflatten nested types as it is done
> [here|http://support.gnip.com/articles/json2csv.html]. We can also have a
> look how tools such as the Avro to CSV tool perform the conversion.
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