You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sayed Mohammad Hossein Torabi (Jira)" <ji...@apache.org> on 2021/12/21 19:51:00 UTC
[jira] [Updated] (SPARK-34652) Support SchemaRegistry in from_avro method
[ https://issues.apache.org/jira/browse/SPARK-34652?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sayed Mohammad Hossein Torabi updated SPARK-34652:
--------------------------------------------------
Affects Version/s: 3.3.0
(was: 3.1.1)
> Support SchemaRegistry in from_avro method
> ------------------------------------------
>
> Key: SPARK-34652
> URL: https://issues.apache.org/jira/browse/SPARK-34652
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.3.0
> Reporter: Sayed Mohammad Hossein Torabi
> Priority: Minor
>
> Confluent Schema Registry provides a serving layer for your metadata. It provides a RESTful interface for storing and retrieving your Avro®, JSON Schema, and Protobuf schemas.
> It would be nice to implement a new method that uses SchemaRegistry instead of the raw schema.
> In addition, the DataBricks has already implemented this function. just check this link out:
> https://docs.databricks.com/spark/latest/structured-streaming/avro-dataframe.html#example-with-schema-registry
> Maybe it would be a simple and short method but really usefull
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org