Metadata-Version: 2.1
Name: azure-schemaregistry
Version: 1.0.0b2
Summary: Microsoft Azure Schema Registry Client Library for Python
Home-page: https://github.com/Azure/azure-sdk-for-python
Author: Microsoft Corporation
Author-email: azpysdkhelp@microsoft.com
License: MIT License
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][source_code] | [Package (PyPi)][pypi] | [API reference documentation][api_reference] | [Samples][sr_samples] | [Changelog][change_log]
        
        ## Getting started
        
        ### Install the package
        
        Install the Azure Schema Registry client library and Azure Identity client library for Python with [pip][pip]:
        
        ```Bash
        pip install azure-schemaregistry azure-identity
        ```
        
        ### Prerequisites:
        To use this package, you must have:
        * Azure subscription - [Create a free account][azure_sub]
        * [Azure Schema Registry][schemaregistry_service]
        * Python 2.7, 3.6 or later - [Install Python][python]
        
        ### 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:**
        
        ```python
        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](#register-a-schema)
        - [Get the schema by id](#get-the-schema-by-id)
        - [Get the id of a schema](#get-the-id-of-a-schema)
        
        ### 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.
        
        ```python
        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.
        
        ```python
        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.
        
        ```python
        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][azure_core].
        
        ### Logging
        This library uses the standard
        [logging][python_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:
        ```python
        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:
        ```py
        schema_registry_client.get_schema(schema_id, logging_enable=True)
        ```
        
        ## Next steps
        
        ### More sample code
        
        Please take a look at the [samples][sr_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][schemaregistry_avroserializer_pypi] 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][eventhubs_repo].
        For more information and sample codes, please refer to the [Azure Schema Registry Avro Serializer SDK][schemaregistry_avroserializer_repo].
        
        ## 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](https://opensource.microsoft.com/codeofconduct/).
        For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
        contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
        
        <!-- LINKS -->
        [pip]: https://pypi.org/project/pip/
        [pypi]: https://pypi.org/project/azure-schemaregistry
        [python]: https://www.python.org/downloads/
        [azure_core]: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/core/azure-core/README.md
        [azure_sub]: https://azure.microsoft.com/free/
        [python_logging]: https://docs.python.org/3/library/logging.html
        [sr_samples]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/schemaregistry/azure-schemaregistry/samples
        [api_reference]: https://azuresdkdocs.blob.core.windows.net/$web/python/azure-schemaregistry/latest/index.html
        [source_code]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/schemaregistry/azure-schemaregistry
        [change_log]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/schemaregistry/azure-schemaregistry/CHANGELOG.md
        [schemaregistry_service]: https://aka.ms/schemaregistry
        [schemaregistry_avroserializer_repo]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/schemaregistry/azure-schemaregistry-avroserializer
        [schemaregistry_avroserializer_pypi]: https://pypi.org/project/azure-schemaregistry-avroserializer/
        [eventhubs_repo]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/eventhub/azure-eventhub
        
        # 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.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
