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 is ending 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:
- Azure subscription - Create a free account
- Azure Schema Registry
- Python 2.7, 3.6 or later - Install Python
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 byazure-identity
, please install the Azure Identity client library for Python with pip:
pip install azure-identity
- Additionally, to use the async API supported on Python 3.6+, 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 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
1.0.0 (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
andformat
:- The type of
format
has been changed fromstr
toSchemaFormat
.
- The type of
Schema
has the following properties:properties
anddefinition
.SchemaFormat
provides the schema format to be stored by the service. Currently, the only supported format isAvro
.api_version
has been added as a keyword arg to the sync and asyncSchemaRegistryClient
constructors.
Breaking Changes
version
instance variable inSchemaProperties
has been removed.schema_definition
instance variable inSchema
has been renameddefinition
.id
parameter inget_schema
method on sync and asyncSchemaRegistryClient
has been renamedschema_id
.schema_definition
parameter inregister_schema
andget_schema_properties
methods on sync and asyncSchemaRegistryClient
has been renameddefinition
.serializer
namespace has been removed fromazure.schemaregistry
.
1.0.0b3 (2021-10-05)
Breaking Changes
get_schema_id
method on sync and asyncSchemaRegistryClient
has been renamedget_schema_properties
.schema_id
parameter inget_schema
method on sync and asyncSchemaRegistryClient
has been renamedid
.register_schema
andget_schema_properties
methods on sync and asyncSchemaRegistryClient
now take in the following parameters in the given order:group_name
, which has been renamed fromschema_group
name
, which has been renamed fromschema_name
schema_definition
, which has been renamed fromschema_content
format
, which has been renamed fromserialization_type
endpoint
parameter inSchemaRegistryClient
constructor has been renamedfully_qualified_namespace
location
instance variable inSchemaProperties
has been removed.Schema
andSchemaProperties
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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