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Microsoft Azure Schema Registry Client Library for Python

Project description

Azure Schema Registry client library for Python

Azure Schema Registry is a schema repository service hosted by Azure Event Hubs, providing schema storage, versioning, and management. The registry is leveraged by serializers to reduce payload size while describing payload structure with schema identifiers rather than full schemas.

Source code | Package (PyPi) | API reference documentation | Samples | Changelog

Getting started

Install the package

Install the Azure Schema Registry client library and Azure Identity client library for Python with pip:

pip install azure-schemaregistry azure-identity

Prerequisites:

To use this package, you must have:

Authenticate the client

Interaction with Schema Registry starts with an instance of SchemaRegistryClient class. You need the endpoint and AAD credential to instantiate the client object.

Create client using the azure-identity library:

from azure.schemaregistry import SchemaRegistryClient
from azure.identity import DefaultAzureCredential

credential = DefaultAzureCredential()
endpoint = '<< ENDPOINT OF THE SCHEMA REGISTRY >>'
schema_registry_client = SchemaRegistryClient(endpoint, credential)

Key concepts

  • Schema: Schema is the organization or structure for data.

  • SchemaRegistryClient: SchemaRegistryClient provides the API for storing and retrieving schemas in schema registry.

Examples

The following sections provide several code snippets covering some of the most common Schema Registry tasks, including:

Register a schema

Use SchemaRegistryClient.register_schema method to register a schema. When registering a schema, the Schema and SchemaProperties will be cached in the SchemaRegistryClient instance, so that any subsequent calls to get_schema_id and get_schema corresponding to the same schema can use the cached value rather than going to the service.

import os

from azure.identity import DefaultAzureCredential
from azure.schemaregistry import SchemaRegistryClient

token_credential = DefaultAzureCredential()
endpoint = os.environ['SCHEMA_REGISTRY_ENDPOINT']
schema_group = "<your-group-name>"
schema_name = "<your-schema-name>"
serialization_type = "Avro"
schema_content = """
{"namespace": "example.avro",
 "type": "record",
 "name": "User",
 "fields": [
     {"name": "name", "type": "string"},
     {"name": "favorite_number",  "type": ["int", "null"]},
     {"name": "favorite_color", "type": ["string", "null"]}
 ]
}
"""

schema_registry_client = SchemaRegistryClient(endpoint=endpoint, credential=token_credential)
with schema_registry_client:
    schema_properties = schema_registry_client.register_schema(schema_group, schema_name, serialization_type, schema_content)
    schema_id = schema_properties.schema_id

Get the schema by id

Get the schema content and its properties by schema id. When looking up the schema content by schema id, the Schema will be cached in the SchemaRegistryClient instance so that subsequent requests for this schema id do not need to go the service.

import os

from azure.identity import DefaultAzureCredential
from azure.schemaregistry import SchemaRegistryClient

token_credential = DefaultAzureCredential()
endpoint = os.environ['SCHEMA_REGISTRY_ENDPOINT']
schema_id = '<your-schema-id>'

schema_registry_client = SchemaRegistryClient(endpoint=endpoint, credential=token_credential)
with schema_registry_client:
    schema = schema_registry_client.get_schema(schema_id)
    schema_content = schema.schema_content

Get the id of a schema

Get the schema id of a schema by schema content and its properties. When looking up the schema id, the Schema and SchemaProperties will be cached in the SchemaRegistryClient instance, so that subsequent requests for this schema do not need to go the service.

import os

from azure.identity import DefaultAzureCredential
from azure.schemaregistry import SchemaRegistryClient

token_credential = DefaultAzureCredential()
endpoint = os.environ['SCHEMA_REGISTRY_ENDPOINT']
schema_group = "<your-group-name>"
schema_name = "<your-schema-name>"
serialization_type = "Avro"
schema_content = """
{"namespace": "example.avro",
 "type": "record",
 "name": "User",
 "fields": [
     {"name": "name", "type": "string"},
     {"name": "favorite_number",  "type": ["int", "null"]},
     {"name": "favorite_color", "type": ["string", "null"]}
 ]
}
"""

schema_registry_client = SchemaRegistryClient(endpoint=endpoint, credential=token_credential)
with schema_registry_client:
    schema_properties = schema_registry_client.get_schema_id(schema_group, schema_name, serialization_type, schema_content)
    schema_id = schema_properties.schema_id

Troubleshooting

General

Schema Registry clients raise exceptions defined in Azure Core.

Logging

This library uses the standard logging library for logging. Basic information about HTTP sessions (URLs, headers, etc.) is logged at INFO level.

Detailed DEBUG level logging, including request/response bodies and unredacted headers, can be enabled on a client with the logging_enable argument:

import sys
import logging
from azure.schemaregistry import SchemaRegistryClient
from azure.identity import DefaultAzureCredential

# Create a logger for the SDK
logger = logging.getLogger('azure.schemaregistry')
logger.setLevel(logging.DEBUG)

# Configure a console output
handler = logging.StreamHandler(stream=sys.stdout)
logger.addHandler(handler)

credential = DefaultAzureCredential()
# This client will log detailed information about its HTTP sessions, at DEBUG level
schema_registry_client = SchemaRegistryClient("you_end_point", credential, logging_enable=True)

Similarly, logging_enable can enable detailed logging for a single operation, even when it isn't enabled for the client:

schema_registry_client.get_schema(schema_id, logging_enable=True)

Next steps

More sample code

Please take a look at the samples directory for detailed examples of how to use this library to register and retrieve schema to/from Schema Registry.

Event Hubs and Avro Serializer

We provide azure-schemaregistry-avroserializer library as serializer implementation to serialize/deserialize avro data integrated with azure-schemaregistry for automatic schema registration and retrieval. It integrates nicely with the EventHubs SDK. For more information and sample codes, please refer to the Azure Schema Registry Avro Serializer SDK.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Release History

1.0.0b2 (2021-08-17)

This version and all future versions will require Python 2.7 or Python 3.6+, Python 3.5 is no longer supported.

Features Added

  • Support caching of registered schemas and send requests to the service only if the cache does not have the looked-up schema/schema ID.

1.0.0b1 (2020-09-09)

Version 1.0.0b1 is the first preview of our efforts to create a user-friendly and Pythonic client library for Azure Schema Registry.

New features

  • SchemaRegistryClient is the top-level client class interacting with the Azure Schema Registry Service. It provides three methods:
    • register_schema: Store schema into the service.
    • get_schema: Get schema content and its properties by schema id.
    • get_schema_id: Get schema id and its properties by schema group, schema name, serialization type and schema content.

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