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Azure Cognitive Search analyzer vs. normalizer, when you should you use each

I am learning Azure Cognitive Search and got a bit confused about Analizer and Normilizer. https://learn.microsoft.com/en-us/azure/search/search-analyzers https://learn.microsoft.com/en-us/azure/search/search-normalizers As far as I understood the only difference is the fact that Analyzers perform tockenization. Could someone provide good example whene I should…

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Azure – Property folder in payload has a value that does not match schema

the graph API request to create a folder in one drive is POST /me/drive/root/children Content-Type: application/json My code: callMap = Map(); callMap.putAll({"name":"New Folder","folder":"{}","@microsoft.graph.conflictBehavior":"rename"}); headerMap = Map(); headerMap.putAll({"Content-Type":"application/json"}); r = invokeurl [ url :"https://graph.microsoft.com/v1.0/me/drive/root/children" type :POST parameters:callMap.toString() headers:headerMap connection:"onedrive" ]; info…

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