%global _empty_manifest_terminate_build 0 Name: python-azure-schemaregistry Version: 1.2.0 Release: 1 Summary: Microsoft Azure Schema Registry Client Library for Python License: MIT License URL: https://github.com/Azure/azure-sdk-for-python Source0: https://mirrors.nju.edu.cn/pypi/web/packages/21/ac/69d234a343a1303f2acfdaa4ab6885cc0c5974034c813d2a5756409019d2/azure-schemaregistry-1.2.0.zip BuildArch: noarch Requires: python3-msrest Requires: python3-azure-core %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] ## _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]: ```Bash pip install azure-schemaregistry ``` ### Prerequisites: To use this package, you must have: * Azure subscription - [Create a free account][azure_sub] * [Azure Schema Registry][schemaregistry_service] - [Here is the quickstart guide][quickstart_guide] to create a Schema Registry group using the Azure portal. * Python 3.7 or later - [Install Python][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: `.servicebus.windows.net`. * An AAD credential that implements the [TokenCredential][token_credential_interface] protocol should be passed to the constructor. There are implementations of the `TokenCredential` protocol available in the [azure-identity package][pypi_azure_identity]. To use the credential types provided by `azure-identity`, please install the Azure Identity client library for Python with [pip][pip]: ```Bash pip install azure-identity ``` * Additionally, to use the async API, you must first install an async transport, such as [aiohttp](https://pypi.org/project/aiohttp/): ```Bash pip install aiohttp ``` **Create client using the azure-identity library:** ```python from azure.schemaregistry import SchemaRegistryClient from azure.identity import DefaultAzureCredential credential = DefaultAzureCredential() # Namespace should be similar to: '.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][schemas]. - 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][schema_groups]. - 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 schema by version](#get-the-schema-by-version) - [Get the id of a schema](#get-the-id-of-a-schema) ### Register a schema Use `SchemaRegistryClient.register_schema` method to register a schema. ```python 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. ```python 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. ```python 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("") 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. ```python 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][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("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: ```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. ## 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. [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://docs.microsoft.com/python/api/overview/azure/schemaregistry-readme [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 [schemas]: https://docs.microsoft.com/azure/event-hubs/schema-registry-overview#schemas [schema_groups]: https://docs.microsoft.com/azure/event-hubs/schema-registry-overview#schema-groups [schemaregistry_service]: https://aka.ms/schemaregistry [schemaregistry_avroserializer_pypi]: https://pypi.org/project/azure-schemaregistry-avroserializer/ [token_credential_interface]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/core/azure-core/azure/core/credentials.py [pypi_azure_identity]: https://pypi.org/project/azure-identity/ [quickstart_guide]: https://docs.microsoft.com/azure/event-hubs/create-schema-registry # 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. %package -n python3-azure-schemaregistry Summary: Microsoft Azure Schema Registry Client Library for Python Provides: python-azure-schemaregistry BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-azure-schemaregistry # 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] ## _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]: ```Bash pip install azure-schemaregistry ``` ### Prerequisites: To use this package, you must have: * Azure subscription - [Create a free account][azure_sub] * [Azure Schema Registry][schemaregistry_service] - [Here is the quickstart guide][quickstart_guide] to create a Schema Registry group using the Azure portal. * Python 3.7 or later - [Install Python][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: `.servicebus.windows.net`. * An AAD credential that implements the [TokenCredential][token_credential_interface] protocol should be passed to the constructor. There are implementations of the `TokenCredential` protocol available in the [azure-identity package][pypi_azure_identity]. To use the credential types provided by `azure-identity`, please install the Azure Identity client library for Python with [pip][pip]: ```Bash pip install azure-identity ``` * Additionally, to use the async API, you must first install an async transport, such as [aiohttp](https://pypi.org/project/aiohttp/): ```Bash pip install aiohttp ``` **Create client using the azure-identity library:** ```python from azure.schemaregistry import SchemaRegistryClient from azure.identity import DefaultAzureCredential credential = DefaultAzureCredential() # Namespace should be similar to: '.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][schemas]. - 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][schema_groups]. - 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 schema by version](#get-the-schema-by-version) - [Get the id of a schema](#get-the-id-of-a-schema) ### Register a schema Use `SchemaRegistryClient.register_schema` method to register a schema. ```python 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. ```python 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. ```python 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("") 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. ```python 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][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("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: ```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. ## 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. [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://docs.microsoft.com/python/api/overview/azure/schemaregistry-readme [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 [schemas]: https://docs.microsoft.com/azure/event-hubs/schema-registry-overview#schemas [schema_groups]: https://docs.microsoft.com/azure/event-hubs/schema-registry-overview#schema-groups [schemaregistry_service]: https://aka.ms/schemaregistry [schemaregistry_avroserializer_pypi]: https://pypi.org/project/azure-schemaregistry-avroserializer/ [token_credential_interface]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/core/azure-core/azure/core/credentials.py [pypi_azure_identity]: https://pypi.org/project/azure-identity/ [quickstart_guide]: https://docs.microsoft.com/azure/event-hubs/create-schema-registry # 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. %package help Summary: Development documents and examples for azure-schemaregistry Provides: python3-azure-schemaregistry-doc %description help # 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] ## _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]: ```Bash pip install azure-schemaregistry ``` ### Prerequisites: To use this package, you must have: * Azure subscription - [Create a free account][azure_sub] * [Azure Schema Registry][schemaregistry_service] - [Here is the quickstart guide][quickstart_guide] to create a Schema Registry group using the Azure portal. * Python 3.7 or later - [Install Python][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: `.servicebus.windows.net`. * An AAD credential that implements the [TokenCredential][token_credential_interface] protocol should be passed to the constructor. There are implementations of the `TokenCredential` protocol available in the [azure-identity package][pypi_azure_identity]. To use the credential types provided by `azure-identity`, please install the Azure Identity client library for Python with [pip][pip]: ```Bash pip install azure-identity ``` * Additionally, to use the async API, you must first install an async transport, such as [aiohttp](https://pypi.org/project/aiohttp/): ```Bash pip install aiohttp ``` **Create client using the azure-identity library:** ```python from azure.schemaregistry import SchemaRegistryClient from azure.identity import DefaultAzureCredential credential = DefaultAzureCredential() # Namespace should be similar to: '.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][schemas]. - 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][schema_groups]. - 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 schema by version](#get-the-schema-by-version) - [Get the id of a schema](#get-the-id-of-a-schema) ### Register a schema Use `SchemaRegistryClient.register_schema` method to register a schema. ```python 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. ```python 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. ```python 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("") 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. ```python 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][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("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: ```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. ## 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. [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://docs.microsoft.com/python/api/overview/azure/schemaregistry-readme [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 [schemas]: https://docs.microsoft.com/azure/event-hubs/schema-registry-overview#schemas [schema_groups]: https://docs.microsoft.com/azure/event-hubs/schema-registry-overview#schema-groups [schemaregistry_service]: https://aka.ms/schemaregistry [schemaregistry_avroserializer_pypi]: https://pypi.org/project/azure-schemaregistry-avroserializer/ [token_credential_interface]: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/core/azure-core/azure/core/credentials.py [pypi_azure_identity]: https://pypi.org/project/azure-identity/ [quickstart_guide]: https://docs.microsoft.com/azure/event-hubs/create-schema-registry # 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. %prep %autosetup -n azure-schemaregistry-1.2.0 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-azure-schemaregistry -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot - 1.2.0-1 - Package Spec generated