The profiler has detected a query that contains a large number of joins, such as this one:

select  *
from   Blogs blog0_
       inner join Posts posts1_
         on blog0_.Id = posts1_.BlogId
       inner join Comments comments2_
         on posts1_.Id = comments2_.PostId
       inner join Users user3_
         on posts1_.UserId = user3_.Id
       inner join UsersBlogs users4_
         on blog0_.Id = users4_.BlogId
       inner join Users user5_
         on users4_.UserId = user5_.Id

Queries with too many joins might be a performance problem.

Each join requires the database to perform additional work, and the complexity and cost of the query grows rapidly with each additional join. While relational database are optimized for handling joins, it is often more efficient to perform several separate queries instead of a single query with several joins in it.

For OLTP systems, you should consider simplifying your queries or simplifying the data model. While we do not recommend avoiding joins completely, we strongly discourage queries with large numbers of joins.

Another issue to pay attention to is possible Cartesian products in queries contains joins, it is very easy to create such a thing and not notice it during development.