MGDC for SharePoint FAQ: How to flatten datasets for SQL or Fabric
When you get your data from Microsoft Graph Data Connect (MGDC), you will typically get that data as a collection of JSON objects in an Azure Data Lake Storage (ADLS) Gen2 storage account. For those handling large datasets, it might be useful to move the data to a SQL Server or to OneLake (lakehouse). In those cases, you might need to flatten the datasets. This post describes how to do that. If you’re not familiar with MGDC for SharePoint, start with https://aka.ms/SharePointData. 1. Flattening Most of the MGDC for SharePoint datasets come with nested objects. That means that a certain object has other objects inside it. For instance, if you have a SharePoint Groups object, it might have multiple Group Members inside. If you have a SharePoint Permissions object, you could have many Permissions Recipients (also known as Sharees). For each SharePoint File object, you will have a single Author object inside. When you convert the datasets from JSON to other formats, it is possible that these other formats require (or perform better) if you don’t have any objects inside objects. To overcome that, you can turn those child objects into properties of the parent object. For instance, instead of having the File object with an Author object inside, you can have multiple author-related columns. For instance, you could have Author.Name and Author.Email as properties of the flattened File object. 2. Nested Objects You can get the full list of SharePoint datasets in MGDC athttps://aka.ms/SharePointDatasets. Here is a table with a list of objects and their nested objects: Object How many? Primary Key Nested Object How many? Add to Primary Key Sites 1 per Site Id RootWeb 1 per Site Sites 1 per Site Id StorageMetrics 1 per Site Sites 1 per Site Id SensitivityLabelInfo 1 per Site Sites 1 per Site Id Owner 1 per Site Sites 1 per Site Id SecondaryContact 1 per Site Groups 1 per Group SiteId + GroupId Owner 1 per Group Groups 1 per Group SiteId + GroupId Members 1 per Member COALESCE(AADObjectId, Email, Name) Permissions 1 per Permission SiteId + ScopeId + RoleDefintion + LinkId SharedWithCount 1 per Recipient Type Type Permissions 1 per Permission SiteId + ScopeId + RoleDefintion + LinkId SharedWith 1 per Recipient or Sharee COALESCE(AADObjectId, Email, Name) Files 1 per File SiteId + WebId + ListId + ItemId Author 1 per File Files 1 per File SiteId + WebId + ListId + ItemId ModifiedBy 1 per File When you flatten a dataset and there is an object with multiple objects inside (like Group Members or Permission Recipients), the number of rows will increase. You also need to add to primary key to keep it unique. Also note that the File Actions, Sync Health and Sync Errors datasets do not have any nested objects. 3. One Object per Parent When the nested object has only one instance, things are simple. As we described for the Author nested object inside the File object, you promote the properties of the nested object to be properties of the parent object. This is because the Author is defined as the user that initially created the file. There is always one and only one Author. This can happen even happen multiple times for the same object. The File also has a ModifiedBy property. That is the single user that last changed the file. In that case, there is also only one ModifiedBy per File. The Site object also includes several properties in this style, like RootWeb, StorageMetrics, SensitivityLabelInfo, Owner and SecondaryContact. Note that, in the context of the Site object, there is only one owner. Actually two, but that second one is tracked in a separate object called SecondaryContact which is effectively the secondary owner. 4. Multiple Objects per Parent The SharePoint Permissions dataset has a special condition that might create trouble for flattening. There are two sets of nested objects with multiple objects each: SharedWith and SharedWithCount. SharedWith has the list of Recipients and SharedWithCount has a list of Recipient Types. If you just let the tools flatten it, you will end up a cross join of the two. As an example, if you have 4 recipients in an object and 2 types of recipients (internal users and external users, for instance) you will end up with 20 objects in the flattened dataset instead of the expected 10 objects (one per recipient). To avoid this, in this specific condition, I would recommend just excluding the SharedWithCount column from the object before flattening. 5. Conclusion I hope this clarifies how you can flatten the MGDC for SharePoint datasets, particularly SharePoint Permissions dataset. For further details about the MGDC for SharePoint, https://aka.ms/SharePointData.MGDC for SharePoint FAQ: Why does the file count not match?
I am frequently asked why the number of files in the Sites dataset does not match the count of the Files dataset. It is true that they sometimes don't. Here are the counts we are talking about: Sites: SELECT Id as SiteId, StorageMetrics.TotalFileCount AS FilesInSite FROM Sites Files: SELECT SiteId, COUNT(*) AS FilesInSite FROM Files GROUP BY SiteId The main reasons for the discrepancy are: The Files dataset is collected weekly, while the Sites dataset is collected daily, making it difficult to capture the exact same state. The Files dataset includes only items inside Document Libraries, whereas the Sites dataset counts all files, including those in other list types. The Files dataset does not include pages (files ending in .ASPX), while the Sites dataset counts all files. The Files dataset does not include items in the primary and secondary recycle bins, whereas the Sites dataset counts all files. Here are a few examples: A new site was created, and a few files were uploaded to a document library in this new site. Two days later, you get the SharePoint Sites dataset and find the new site with the right count of files. However, you cannot find these files in the SharePoint Files dataset. This is because the Files dataset may take one week to refresh. Wait a week and try pulling the Files dataset again. A team site was created with a few lists, where some of the items have file attachments. The SharePoint Files dataset does not show these file attachments. This is because the SharePoint Files dataset will only show files in document libraries. You deleted files from a document library in a SharePoint site a few weeks ago. Now the count of files in the SharePoint Sites is smaller than the count of files in the SharePoint Files dataset. That is because files in the recycle bins are excluded from the Files dataset. Once these deleted files go through the first and second level recycle bins, the count in the Sites dataset will also reflect that reduction.
