Metadata-Version: 2.1
Name: async-python-schema-registry-client
Version: 0.0.2
Summary: Asyn Python Rest Client to interact against Schema Registry Confluent Server to manage Avro Schemas
Home-page: https://github.com/marcosschroh/async-python-schema-registry-client
Author: Marcos Schroh
Author-email: schrohm@gmail.com
License: GPLv3
Download-URL: https://pypi.org/project/async-python-schema-registry-client
Description: # Async Python Rest Client Schema Registry
        
        [![Build Status](https://travis-ci.org/marcosschroh/async-python-schema-registry-client.svg?branch=master)](https://travis-ci.com/marcosschroh/async-python-schema-registry-client.svg?branch=master)
        [![GitHub license](https://img.shields.io/github/license/marcosschroh/async-python-schema-registry-client.svg)](https://github.com/marcosschroh/async-python-schema-registry-client/blob/master/LICENSE)
        [![codecov](https://codecov.io/gh/marcosschroh/async-python-schema-registry-client/branch/master/graph/badge.svg)](https://codecov.io/gh/marcosschroh/async-python-schema-registry-client)
        [![Python Version](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue.svg)](https://img.shields.io/badge/python-3.6%20%7C%203.7-blue.svg)
        
        
        Async Python Rest Client to interact against [schema-registry](https://docs.confluent.io/current/schema-registry/index.html) confluent server to manage [Avro Schemas](https://docs.oracle.com/database/nosql-12.1.3.1/GettingStartedGuide/avroschemas.html) resources.
        
        ## Requirements
        
        python 3.6+, fastavro<=0.22.3, requests-async==0.4.1, aiofiles==0.4.0
        
        ## Installation
        
        ```
        pip install async-python-schema-registry-client
        ```
        
        ## Client API, Serializer, Faust Integration and Schema Server description
        
        **Documentation**: [https://marcosschroh.github.io/async-python-schema-registry-client.io](https://marcosschroh.github.io/async-python-schema-registry-client)
        
        ## When use this library?
        
        Usually, we have a situacion like this:
        
        ![Confluent Architecture](docs/img/confluent_architecture.png)
        
        So, our producers/consumers have to serialize/deserialize messages every time that they send/receive from Kafka topics. In this picture, we can imagine a `Faust` application receiving messages (encoded with an Avro schema) and we want to deserialize them, so we can ask the `schema server` to do that for us. In this scenario, the `MessageSerializer` is perfect.
        
        Also, could be a use case that we would like to have an Application only to administrate `Avro Schemas` (register, update compatibilities, delete old schemas, etc.), so the `SchemaRegistryClient` is perfect.
        
        
        ## Run Tests
        
        The tests are run against the `Schema Server` using `docker compose`, so you will need
        `Docker` and `Docker Compose` installed.
        
        ```bash
        ./scripts/test.sh
        ```
        
Keywords: Schema Registry,Python,Async,Avro,Apache,Apache Avro
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development
Description-Content-Type: text/markdown
