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Posted to issues@spark.apache.org by "Sayed Mohammad Hossein Torabi (Jira)" <ji...@apache.org> on 2021/03/07 18:24:00 UTC
[jira] [Created] (SPARK-34652) Support SchemaRegistry in from_avro
method
Sayed Mohammad Hossein Torabi created SPARK-34652:
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Summary: Support SchemaRegistry in from_avro method
Key: SPARK-34652
URL: https://issues.apache.org/jira/browse/SPARK-34652
Project: Spark
Issue Type: Improvement
Components: PySpark, Structured Streaming
Affects Versions: 3.1.1
Reporter: Sayed Mohammad Hossein Torabi
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
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