Name | kafka-schema-registry-admin JSON |
Version |
0.5.3
JSON |
| download |
home_page | None |
Summary | Pure HTTP client to manage schemas in Schema Registry |
upload_time | 2024-07-10 12:12:30 |
maintainer | None |
docs_url | None |
author | John Preston |
requires_python | <4.0,>=3.9 |
license | Apache-2.0 |
keywords |
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
===========================
Kafka schema registry admin
===========================
Simple / light HTTP client library (using requests) to manipulate schemas and definitions into Schema Registry.
* Confluent API specification is documented `here <https://docs.confluent.io/platform/current/schema-registry/develop/api.html#overview>`__
* RedPanda API specification is documented `here <https://docs.redpanda.com/current/manage/schema-reg/schema-reg-api/>`__
.. warning::
RedPanda SR does not have 100% compatibility with Confluent's.
Confluent Cloud specific endpoints not implemented (and no plans to be).
Usage
======
Very simple example to manipulate the schema registry and its resources.
Every function returns the ``requests.Response`` object to allow you to implement any kind of logic from there,
instead of trying to implement it for you.
Non 2xx HTTP codes raise exceptions which are in the ``kafka_schema_registry_admin.client_wrapper.errors``
More specific exceptions will be created in due course to identify exact exceptions.
.. code-block::
from kafka_schema_registry_admin import SchemaRegistry
registry = SchemaRegistry("http://localhost:8081")
subjects = registry.get_all_subjects().json()
Raw data
{
"_id": null,
"home_page": null,
"name": "kafka-schema-registry-admin",
"maintainer": null,
"docs_url": null,
"requires_python": "<4.0,>=3.9",
"maintainer_email": null,
"keywords": null,
"author": "John Preston",
"author_email": "john@ews-network.net",
"download_url": "https://files.pythonhosted.org/packages/f2/bb/755657998eb184c6881883d7091b26b49ae8036d18e231aaf65e61e8acee/kafka_schema_registry_admin-0.5.3.tar.gz",
"platform": null,
"description": "===========================\nKafka schema registry admin\n===========================\n\nSimple / light HTTP client library (using requests) to manipulate schemas and definitions into Schema Registry.\n\n* Confluent API specification is documented `here <https://docs.confluent.io/platform/current/schema-registry/develop/api.html#overview>`__\n\n* RedPanda API specification is documented `here <https://docs.redpanda.com/current/manage/schema-reg/schema-reg-api/>`__\n\n.. warning::\n\n RedPanda SR does not have 100% compatibility with Confluent's.\n Confluent Cloud specific endpoints not implemented (and no plans to be).\n\n\nUsage\n======\n\nVery simple example to manipulate the schema registry and its resources.\nEvery function returns the ``requests.Response`` object to allow you to implement any kind of logic from there,\ninstead of trying to implement it for you.\n\nNon 2xx HTTP codes raise exceptions which are in the ``kafka_schema_registry_admin.client_wrapper.errors``\nMore specific exceptions will be created in due course to identify exact exceptions.\n\n.. code-block::\n\n from kafka_schema_registry_admin import SchemaRegistry\n\n registry = SchemaRegistry(\"http://localhost:8081\")\n subjects = registry.get_all_subjects().json()\n",
"bugtrack_url": null,
"license": "Apache-2.0",
"summary": "Pure HTTP client to manage schemas in Schema Registry",
"version": "0.5.3",
"project_urls": null,
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "8b006ec376b1735fe44033d4fb34fd07fffd6d285ea5e0bc05d04d766bbaf62f",
"md5": "ac70f89b4631368918b5d55ba5a995b8",
"sha256": "e60e3d704fab355bda30b63c4a890446d0e37cc47a4dfc31e52c9cddfd0010ea"
},
"downloads": -1,
"filename": "kafka_schema_registry_admin-0.5.3-py3-none-any.whl",
"has_sig": false,
"md5_digest": "ac70f89b4631368918b5d55ba5a995b8",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.9",
"size": 15660,
"upload_time": "2024-07-10T12:12:28",
"upload_time_iso_8601": "2024-07-10T12:12:28.876357Z",
"url": "https://files.pythonhosted.org/packages/8b/00/6ec376b1735fe44033d4fb34fd07fffd6d285ea5e0bc05d04d766bbaf62f/kafka_schema_registry_admin-0.5.3-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "f2bb755657998eb184c6881883d7091b26b49ae8036d18e231aaf65e61e8acee",
"md5": "db73b264f23892b88e18b569e5de46fc",
"sha256": "eef50837efd51ac28a3e073c4474d7564c12539a7f025a8e25db8d12965b6801"
},
"downloads": -1,
"filename": "kafka_schema_registry_admin-0.5.3.tar.gz",
"has_sig": false,
"md5_digest": "db73b264f23892b88e18b569e5de46fc",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.9",
"size": 12520,
"upload_time": "2024-07-10T12:12:30",
"upload_time_iso_8601": "2024-07-10T12:12:30.489081Z",
"url": "https://files.pythonhosted.org/packages/f2/bb/755657998eb184c6881883d7091b26b49ae8036d18e231aaf65e61e8acee/kafka_schema_registry_admin-0.5.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-07-10 12:12:30",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "kafka-schema-registry-admin"
}