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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

Disclaimer

Azure SDK Python packages support for Python 2.7 has ended on 01 January 2022. For more information and questions, please refer to https://github.com/Azure/azure-sdk-for-python/issues/20691

Getting started

Install the package

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

pip install azure-schemaregistry

Prerequisites:

To use this package, you must have:

Authenticate the client

Interaction with Schema Registry starts with an instance of SchemaRegistryClient class. The client constructor takes the fully qualified namespace and an Azure Active Directory credential:

  • The fully qualified namespace of the Schema Registry instance should follow the format: <yournamespace>.servicebus.windows.net.

  • An AAD credential that implements the TokenCredential protocol should be passed to the constructor. There are implementations of the TokenCredential protocol available in the azure-identity package. To use the credential types provided by azure-identity, please install the Azure Identity client library for Python with pip:

pip install azure-identity
  • Additionally, to use the async API, you must first install an async transport, such as aiohttp:
pip install aiohttp

Create client using the azure-identity library:

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

credential = DefaultAzureCredential()
# Namespace should be similar to: '<your-eventhub-namespace>.servicebus.windows.net/'
fully_qualified_namespace = '<< FULLY QUALIFIED NAMESPACE OF THE SCHEMA REGISTRY >>'
schema_registry_client = SchemaRegistryClient(fully_qualified_namespace, credential)

Key concepts

  • Schema: Schema is the organization or structure for data. More detailed information can be found here.

  • Schema Group: A logical group of similar schemas based on business criteria, which can hold multiple versions of a schema. More detailed information can be found here.

  • 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.

import os

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

token_credential = DefaultAzureCredential()
fully_qualified_namespace = os.environ['SCHEMA_REGISTRY_FULLY_QUALIFIED_NAMESPACE']
group_name = os.environ['SCHEMA_REGISTRY_GROUP']
name = "your-schema-name"
format = "Avro"
definition = """
{"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(fully_qualified_namespace=fully_qualified_namespace, credential=token_credential)
with schema_registry_client:
    schema_properties = schema_registry_client.register_schema(group_name, name, definition, format)
    id = schema_properties.id

Get the schema by id

Get the schema definition and its properties by schema id.

import os

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

token_credential = DefaultAzureCredential()
fully_qualified_namespace = os.environ['SCHEMA_REGISTRY_FULLY_QUALIFIED_NAMESPACE']
schema_id = 'your-schema-id'

schema_registry_client = SchemaRegistryClient(fully_qualified_namespace=fully_qualified_namespace, credential=token_credential)
with schema_registry_client:
    schema = schema_registry_client.get_schema(schema_id)
    definition = schema.definition
    properties = schema.properties

Get the schema by version

Get the schema definition and its properties by schema version.

import os

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

token_credential = DefaultAzureCredential()
fully_qualified_namespace = os.environ['SCHEMA_REGISTRY_FULLY_QUALIFIED_NAMESPACE']
group_name = os.environ["SCHEMAREGISTRY_GROUP"]
name = "your-schema-name"
version = int("<your schema version>")

schema_registry_client = SchemaRegistryClient(fully_qualified_namespace=fully_qualified_namespace, credential=token_credential)
with schema_registry_client:
    schema = schema_registry_client.get_schema(group_name=group_name, name=name, version=version)
    definition = schema.definition
    properties = schema.properties

Get the id of a schema

Get the schema id of a schema by schema definition and its properties.

import os

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

token_credential = DefaultAzureCredential()
fully_qualified_namespace = os.environ['SCHEMA_REGISTRY_FULLY_QUALIFIED_NAMESPACE']
group_name = os.environ['SCHEMA_REGISTRY_GROUP']
name = "your-schema-name"
format = "Avro"
definition = """
{"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(fully_qualified_namespace=fully_qualified_namespace, credential=token_credential)
with schema_registry_client:
    schema_properties = schema_registry_client.register_schema(group_name, name, definition, format)
    id = schema_properties.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("your_fully_qualified_namespace", 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.

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

1.2.0 (2022-10-10)

This version and all future versions will require Python 3.7+, Python 3.6 is no longer supported.

Features Added

  • group_name, name, and version have been added as optional parameters to the get_schema method on the sync and async SchemaRegistryClient.
  • version has been added to SchemaProperties.

Other Changes

  • Updated azure-core minimum dependency to 1.24.0.
  • Added distributed tracing support for sync and async SchemaRegistryClient.

1.1.0 (2022-05-10)

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

Features Added

  • group_name and name have been added as instance variables to SchemaProperties.

Other Changes

  • Updated azure-core minimum dependency to 1.23.0.

1.0.0 (2021-11-10)

Note: This is the first stable release of our efforts to create a user-friendly and Pythonic client library for Azure Schema Registry.

Features Added

  • SchemaRegistryClient is the top-level client class interacting with the Azure Schema Registry Service. It provides three methods:
    • register_schema: Store schema in the service by providing schema group name, schema name, schema definition, and schema format.
    • get_schema: Get schema definition and its properties by schema id.
    • get_schema_properties: Get schema properties by providing schema group name, schema name, schema definition, and schema format.
  • SchemaProperties has the following instance variables: id and format:
    • The type of format has been changed from str to SchemaFormat.
  • Schema has the following properties: properties and definition.
  • SchemaFormat provides the schema format to be stored by the service. Currently, the only supported format is Avro.
  • api_version has been added as a keyword arg to the sync and async SchemaRegistryClient constructors.

Breaking Changes

  • version instance variable in SchemaProperties has been removed.
  • schema_definition instance variable in Schema has been renamed definition.
  • id parameter in get_schema method on sync and async SchemaRegistryClient has been renamed schema_id.
  • schema_definition parameter in register_schema and get_schema_properties methods on sync and async SchemaRegistryClient has been renamed definition.
  • serializer namespace has been removed from azure.schemaregistry.

1.0.0b3 (2021-10-05)

Breaking Changes

  • get_schema_id method on sync and async SchemaRegistryClient has been renamed get_schema_properties.
  • schema_id parameter in get_schema method on sync and async SchemaRegistryClient has been renamed id.
  • register_schema and get_schema_properties methods on sync and async SchemaRegistryClient now take in the following parameters in the given order:
    • group_name, which has been renamed from schema_group
    • name, which has been renamed from schema_name
    • schema_definition, which has been renamed from schema_content
    • format, which has been renamed from serialization_type
  • endpoint parameter in SchemaRegistryClient constructor has been renamed fully_qualified_namespace
  • location instance variable in SchemaProperties has been removed.
  • Schema and SchemaProperties no longer have positional parameters, as they will not be constructed by the user.

Other Changes

  • Updated azure-core dependency to 1.19.0.
  • Removed caching support of registered schemas so requests are sent to the service to register schemas, get schema properties, and get schemas.

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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