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How to “merge” or “transform” JSON documents in Azure Cosmos DB

<h3>Question</h3>

I'm setting up a Chatbot with the Microsoft Bot Framework and Azure. I want to save my "UserState" in a database in order to easily analyze the user data. I managed to save my userState in form of JSON documents in Azure Cosmos DB.

The problem is that each interaction with the bot creates a new "document" in a "collection" in Cosmos DB.

How can I easily merge the data (data structure is consistent) and in the best case have the data in some kind of table? The tool I want to use for analyzing requires .txt or .csv files.

This is a snippet of the JSON file which stores the user data.

{ "id": "emulator*2fusers*2f9321b527-4699-4b4a-8d9d-9cd9fa8f1967*2f", "realId": "emulator/users/9321b527-4699-4b4a-8d9d-9cd9fa8f1967/", "document": { "userData": { "name": "value", "age": 18, "gender": "value", "education": "value", "major": "value" }, "userDataExtended": { "roundCounter": 3, "choices": [ "A", "A", "B" ], }, "_rid": "0k5YAPBrVaknAAAAAAAAAA==", "_self": "dbs/0k5YAA==/colls/0k5YAPBrVak=/docs/0k5YAPBrVaknAAAAAAAAAA==/", "_etag": "\"ac009377-0000-0000-0000-5c59c5610000\"", "_attachments": "attachments/", "_ts": 1549387105 }

In the best case I want to have the data in a table structure with columns "name", "age", etc. and each user (document) as a row.

Thank you!


<h3>Answer1:</h3>

There's a few things in your questions and I'll address them all separately.

<h3>Expanding on Drew's comment:</h3>

You have multiple documents being created because you're running the bot through emulator. Each time emulator restarts, it creates a new User ID and therefore a new document for the user and also one for that user's conversation. You will not have this issue if you use a channel other than emulator, provided that the User ID remains consistent.

<h3>Regarding merging documents:</h3>

I'm not sure exactly what you're looking for, but you might be able to use SQL Queries to accomplish what you need. Just click "New SQL Query". For example, running SELECT * FROM c merges all of the documents into a single output.

<h3>Regarding text/csv files:</h3>

I'm not sure what your tool is, but if it can handle JSON, then the above might work for you. If not, you can implement custom middleware to get the txt/csv output you're looking for. Here's a sample that shows something relatively similar. There isn't an equivalent example in C#, but you can still implement your own middleware to do the same thing.

<h3>Regarding Tables:</h3>

If you're really looking for Table Storage, it was supported in V3 bots, but replaced by blob storage in V4. You could write your bot in V3. Similar to what Jay said, you might still be able to use a trigger function to send it to table storage, but then you're storing the data twice.

<h3>Regarding Analysis</h3>

If all you're really looking for is analysis, Application Insights/Bot Analytics may be what you need, although I don't believe it will provide the detail you're looking for.


<h3>Answer2:</h3>
<blockquote>

In the best case I want to have the data in a table structure with columns "name", "age", etc. and each user (document) as a row.

</blockquote>

Obviously,you need to use some other services to implement this requirement because the data which is collected by bot service already exists.

In my opinion, maybe the cosmos db trigger azure function is a good option for you. The function will be triggered when any updates inflow into your cosmos db collection.

Of course you could get more explanations from this link ,then what I want to say is that you could configure the Cosmos db as input binding and Azure Blob Storage as output binding (maybe a specific csv file). In the function,you could get your desired columns with cosmos db sdk and assemble them into any format you want.

来源:https://stackoverflow.com/questions/54540823/how-to-merge-or-transform-json-documents-in-azure-cosmos-db

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