Azure 与服务总线主题集成

Question

I am building an integration using API's from ADP. There is already an endpoint that I will be using - this is tied to a azure service bus. I have the name of the topic but I'm having trouble understanding the next artifacts that need to be created in Azure. I want the incoming messages to hit an EDW or just the data lake as data (it might be coming in as XML format, which I may need to convert to azure sql database):

• Should I create another subscription tied to the EDW that can pick up the messages from the service bus topic? (I have not attempted this before)
• Or Should I create a logic app to directly read the service bus or service bus topic? (I have not attempted this either)

I need to design a scalable solution - any insight would be greatly appreciated

Thanks

Answer 1

can you expand on this answer or is there documentation to see how to linked the service bus topic to azure function then dump into data lake?

I'm not sure what language you use, here is implemented in python.

You can use a service bus trigger to listen the messages come in of the service bus queue or topic. Then you can use data lake SDK to save the message:

Use azure function service bus trigger to listen the message:

import logging

import azure.functions as func


def main(msg: func.ServiceBusMessage):

    #put the logic of process the message here

    logging.info('Python ServiceBus queue trigger processed message: %s',
                 msg.get_body().decode('utf-8'))

function.json

{
  "scriptFile": "__init__.py",
  "bindings": [
    {
      "name": "msg",
      "type": "serviceBusTrigger",
      "direction": "in",
      "queueName": "queuename",
      "connection": "bowman1012_SERVICEBUS"
    }
  ]
}

And use code like below to append messages to data lake:

from azure.storage.filedatalake import DataLakeServiceClient 
connect_str = "DefaultEndpointsProtocol=https;AccountName=0730bowmanwindow;AccountKey=xxxxxx;EndpointSuffix=core.windows.net"
datalake_service_client = DataLakeServiceClient.from_connection_string(connect_str)
myfilesystem = "test"
myfolder     = "test"
myfile       = "FileName.txt"

file_system_client = datalake_service_client.get_file_system_client(myfilesystem)            
directory_client = file_system_client.create_directory(myfolder)         
directory_client = file_system_client.get_directory_client(myfolder)
print("11111")
try:
    file_client = directory_client.get_file_client(myfile)
    file_client.get_file_properties().size
    data = "Test2"   
    print("length of data is "+str(len(data)))
    print("This is a test123")
    filesize_previous = file_client.get_file_properties().size
    print("length of currentfile is "+str(filesize_previous))
    file_client.append_data(data, offset=filesize_previous, length=len(data))
    file_client.flush_data(filesize_previous+len(data))
except:
    file_client = directory_client.create_file(myfile)
    data = "Test2"   
    print("length of data is "+str(len(data)))
    print("This is a test")
    filesize_previous = 0
    print("length of currentfile is "+str(filesize_previous))
    file_client.append_data(data, offset=filesize_previous, length=len(data))
    file_client.flush_data(filesize_previous+len(data))

If you need to develop azure function on local, you need 'azure function core tools','language environment','VS Code and azure function extension'.

For more information, please have a look of this:

https://docs.microsoft.com/en-us/azure/azure-functions/functions-run-local?tabs=windows%2Ccsharp%2Cbash

https://docs.microsoft.com/en-us/azure/azure-functions/functions-reference-python

https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-service-bus-trigger?tabs=python

And this is the API reference of data lake SDK(In this web page you can find all the methods of interacting with various services based on python and azure):

https://docs.microsoft.com/en-us/python/api/azure-storage-file-datalake/azure.storage.filedatalake.datalakeserviceclient?view=azure-python