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From "Ivan Mushketyk (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (FLINK-3871) Add Kafka TableSource with Avro serialization
Date Thu, 12 Jan 2017 14:46:52 GMT

     [ https://issues.apache.org/jira/browse/FLINK-3871?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ivan Mushketyk reassigned FLINK-3871:
-------------------------------------

    Assignee: Ivan Mushketyk

> Add Kafka TableSource with Avro serialization
> ---------------------------------------------
>
>                 Key: FLINK-3871
>                 URL: https://issues.apache.org/jira/browse/FLINK-3871
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table API & SQL
>            Reporter: Fabian Hueske
>            Assignee: Ivan Mushketyk
>
> Add a Kafka TableSource which supports Avro serialized data.
> The KafkaAvroTableSource should support two modes:
> # SpecificRecord Mode: In this case the user specifies a class which was code-generated
by Avro depending on a schema. Flink treats these classes as regular POJOs. Hence, they are
also natively supported by the Table API and SQL. Classes generated by Avro contain their
Schema in a static field. The schema should be used to automatically derive field names and
types. Hence, there is no additional information required than the name of the class.
> # GenericRecord Mode: In this case the user specifies an Avro Schema. The schema is used
to deserialize the data into a GenericRecord which must be translated into possibly nested
{{Row}} based on the schema information. Again, the Avro Schema is used to automatically derive
the field names and types. This mode is less efficient than the SpecificRecord mode because
the {{GenericRecord}} needs to be converted into {{Row}}.
> This feature depends on FLINK-5280, i.e., support for nested data in {{TableSource}}.



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