The reported 16MB MongoDB aggregation error when fetching groups with 20k+ members has already been resolved in the current codebase (v6.0.6+).
Analysis
The issue was caused by a LINQ join that MongoDB translated into a single aggregate command, exceeding the 16MB BSON limit:
// Problematic pattern (no longer in codebase)varfilteredRepresentationsWithAttributes=fromainfilteredRepresentations
join bin_scimDbContext.SCIMRepresentationAttributeLst.AsQueryable()
on a.Id equals b.RepresentationId into Attributesselectnew{Representation=a,Attributes=Attributes};
There is indeed an issue in the FindSCIMRepresentations function in the SCIMRepresentationQueryRepository class.
When a group contains a large number of attributes, the following query throws an exception. The LINQ query is translated into a MongoDB aggregate command, and the resulting data size exceeds 16 MB.
var filteredRepresentationsWithAttributes = from a in filteredRepresentations
join b in _scimDbContext.SCIMRepresentationAttributeLst.AsQueryable() on a.Id equals b.RepresentationId into Attributes
select new
{
Representation = a,
Attributes = Attributes
};
This issue should be fixed in the release/v6.0.4 branch. Could you please try again and confirm?
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The reported 16MB MongoDB aggregation error when fetching groups with 20k+ members has already been resolved in the current codebase (v6.0.6+).
Analysis
The issue was caused by a LINQ join that MongoDB translated into a single aggregate command, exceeding the 16MB BSON limit:
Current Implementation
File: src/Scim/SimpleIdServer.Scim.Persistence.MongoDB/SCIMRepresentationQueryRepository.cs (lines 97-111)
The fix uses separate queries combined in memory:
This avoids MongoDB's aggregation limit while maintaining performance through indexed queries.
Verification
No code changes required - closing as already fixed.
Original prompt💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.