danny0405 opened a new pull request #12919:
URL: https://github.com/apache/flink/pull/12919
… data from Kafka
## What is the purpose of the change
Supports read/write with SQL using schema registry avro format.
**The format details**
_The factory identifier (or format id)_
There are 2 candidates now ~
`avro-sr`: the pattern borrowed from KSQL JSON_SR format [1]
`avro-confluent`: the pattern borrowed from Clickhouse AvroConfluent [2]
Personally i would prefer avro-sr because it is more concise and the
confluent is a company name which i think is not that suitable for a format
name.
**The format attributes**
Options | required | Remark
-- | -- | --
schema-string | true | avro schema string used for (de)serialization
schema-registry.url | true | URL to connect to schema registry service
schema-registry.subject | false | Subject name to write to the Schema
Registry service, required for sink
## Brief change log
- Add `avro-sr` read/write row data format
- Add tests
## Verifying this change
Added tests.
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): no
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: no
- The serializers: no
- The runtime per-record code paths (performance sensitive): no
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Kubernetes/Yarn/Mesos, ZooKeeper: no
- The S3 file system connector: (yes / no / don't know) no
## Documentation
- Does this pull request introduce a new feature? yes
- If yes, how is the feature documented? not documented
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