Use python SDK to send and receive events with schema registry in azure event hub
This blog is the complement of another blog which is related to Azure Event Hub Schema Registry. As we known, it’s not supported to migrate Confluent(Kafka) schema registry into Azure schema registry directly. We need to create and manage the scheme registry in the azure event hub separately. The good news is Azure Event Hub supplies multiple client sdks for us to use to serialize and deserialize payloads containing schema registry identifiers and avro-encoded data. In this section, I’d like to share how to use python sdk to send or receive events with schema registry in the Azure Event Hub mostly.
Prerequisites:
1.Create a schema registry group in the event hub portal.
You could refer to this official guidance to create schema registry group.
2.Install required python packages with pip tool
a.pip install azure-schemaregistry-avroencoder
The main package we will use below.
b.pip install azure-identity
Authentication is required to take schema registry group and create schema registry. Hence, we need use TokenCredential protocol of AAD credential.
c.pip install aiohttp
We need installing an async transport to use aysnc API.
3.To implement the TokenCredential authentication flow mentioned above, the following credential types if enabled will be tried in order:
- EnvironmentCredential
- ManagedIdentityCredential
- SharedTokenCacheCredential
- VisualStudioCredential
- VisualStudioCodeCredential
- AzureCliCredential
- AzurePowerShellCredential
- InteractiveBrowserCredential
In test demo below, EnvironmentCredential is used, hence we need to register an AAD application to get tenant id, client id and client secret information.
4.If we want to pass EventData as message type while encoding, we also need to make sure that we have installed azure-eventhub>=5.9.0 to use azure.eventhub.EventData module class.
Test Demo:
1.Client initialization
2.Send event data with encoded content
If we set the auto_register parameter as true, it registers new schemas passed to encode. We can check the created schema registry in event hub portal, the schema name is combined by value of namespace and name property in the definition we set.
If we observe that the created event data, the event text content is encoded as binary. In fact, the avro_encoder.encode method is using underlying BinaryEncoder function to encode/decode the message data.
Once the schema registry is created, we can’t add extra property which is not contained in the standard schema definition.
For example, if we set dictionary content as:
we will encounter following exception:
If we miss required property, it won’t passed through as well. For example, if we set dictionary content as:
we will encounter following exception:
3.Receive event data with decoded content
We could also get sync and async sample code snippets from this link.
Published on:
Learn moreRelated posts
Azure Storage - TLS 1.0 and 1.1 retirement
Overview TLS 1.0 and 1.1 retirement on Azure Storage was previously announced for Nov 1st, 2024, and it was postponed recently to 1 year later...
Efficient Management of Append and Page Blobs Using Azure Storage Actions
Overview In Azure Storage, Blob Lifecycle Management (BLM) allows you to automate the management of your data based on rules defined by...
[Azure AI Search] Internal Server Error when creating CMK encrypted objects
Scenario Customers follow the Microsoft doc to create CMK encrypted objects (data source, index etc.), but get the 500 Internal Serv...
Optimizing Azure Table Storage: Automated Data Cleanup using a PowerShell script with Azure Automate
Scenario This blog’s aim is to manage Table Storage data efficiently. Imagine you have a large Azure Table Storage that accumulates logs from ...
Optimizing Azure Table Storage: Automated Data Clean-up using a PowerShell script with Azure Automat
Scenario This blog’s aim is to manage Table Storage data efficiently. Imagine you have a large Azure Table Storage that accumulates logs from ...
Restoring Soft-Deleted Blobs with multithreading in Azure Storage Using C#
Blob soft delete is an essential feature that safeguards your data against accidental deletions or overwrites. By retaining deleted data for a...
Performing simple Azure Table Storage REST API operations using curl command.
The blog provides guidance to perform simple Table Storage REST API operations such as Create table, Delete Table, Insert entity, Delete entit...
Bulk delete all the old jobs from the batch account
Deleting a Job also deletes all Tasks that are part of that Job, and all Job statistics. This also overrides the retention period for Task dat...
Utilizing Azure Storage and Runbooks for scheduled automated backups of Azure SQL Databases
In this article, we are going to provide detailed steps to create a scheduled Azure SQL Database backup to storage account using automation. T...
[Azure Service Bus] JMS messages getting dead-lettered
The article discusses a problem where numerous messages end up in the dead letter queue (DLQ) when the JMS service bus consumer connects to th...