Metadata-Version: 2.1
Name: async-python-schema-registry-client
Version: 1.0.0
Summary: Asyn Python Rest Client to interact against Schema Registry Confluent Serverto manage Avro Schemas
Home-page: https://github.com/marcosschroh/async-python-schema-registry-client
Author: Marcos Schroh
Author-email: schrohm@gmail.com
License: MIT
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, requests-async, aiofiles
        
        ## Installation
        
        ```sh
        pip install async-python-schema-registry-client
        ```
        
        ## Client API, Serializer 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 to use this library
        
        Usually, we have a situacion in which we have producers/consumers that serialize/deserialize events to send/receive from Kafka topics. In this picture, we can imagine a `Faust` or `Flink` application receiving/sending messages (encoded with an Avro schema)
        
        ![Confluent Architecture](docs/img/confluent_architecture.png)
        
        `Avro schemas` have to be maintained and also need to be used to encode/decode events. On those situation this library is convenient to use.
        
        *Summary*:
        
        * When we want to build an application to administrate `Avro Schemas` (register, update compatibilities, delete old schemas, etc.)
        * When we have a process that needs to serialize/deserialize events to send/receive to/from a kafka topics
        
        ## Development
        
        The tests are run against the `Schema Server` using `docker compose`, so you will need
        `Docker` and `Docker Compose` installed.
        
        ```sh
        ./scripts/test
        ```
        
        Lint code:
        
        ```sh
        ./scripts/lint
        ```
        
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
