How to programmatically get schema from confluent schema registry in Python

Question

As of now i am doing something like this reading avsc file to get schema

value_schema = avro.load('client.avsc')

can i do something to get schema from confluent schema registry using topic-name?

i found one way but didn't figure out how to use it.

https://github.com/marcosschroh/python-schema-registry-client

Answer 1

Using confluent-kafka-python

from confluent_kafka.avro.cached_schema_registry_client import CachedSchemaRegistryClient

sr = CachedSchemaRegistryClient({
    'url': 'http://localhost:8081',
    'ssl.certificate.location': '/path/to/cert',  # optional
    'ssl.key.location': '/path/to/key'  # optional
})

value_schema = sr.get_latest_schema("orders-value")[1]
key_schema= sr.get_latest_schema("orders-key")[1]

---

Using SchemaRegistryClient

Getting schema by subject name

from schema_registry.client import SchemaRegistryClient


sr = SchemaRegistryClient('localhost:8081')
my_schema = sr.get_schema(subject='mySubject', version='latest')

Getting schema by ID

from schema_registry.client import SchemaRegistryClient


sr = SchemaRegistryClient('localhost:8081')
my_schema = sr.get_by_id(schema_id=1)