How Can LINQ Efficiently Generate Cartesian Products of Variable-Sized Sets?

Efficiently Generating Cartesian Products with LINQ

LINQ offers a powerful and efficient way to generate Cartesian products—all possible combinations of elements from multiple sets. Let's illustrate this with an example involving people, their dogs, and their dogs' puppies. Each person owns multiple dogs, and each dog has multiple puppies. The objective is to create a list of all possible puppy combinations, selecting one puppy from each dog owned by a given person.

Handling a Fixed Number of Sets

If the number of sets (dogs) is predetermined, a simple LINQ query suffices:

from p1 in dog1.Puppies
from p2 in dog2.Puppies
from p3 in dog3.Puppies
select new { p1, p2, p3 };

This query efficiently generates the Cartesian product of puppies from the first three dogs.

Addressing a Variable Number of Sets

However, when the number of sets is dynamic (the number of dogs varies per person), a more flexible approach is needed. Eric Lippert's CartesianProduct<t></t> method (as described in his blog) provides a reusable solution for calculating the Cartesian product of an arbitrary number of sets.

This method allows for the computation of Cartesian products with a variable number of input sets. It can be used as follows:

CartesianProduct(from dog in person.Dogs select dog.Puppies)

This concisely generates the Cartesian product of puppy sets for all dogs belonging to a specific person. The result is a set of sequences, each sequence representing a unique combination of puppies, with one puppy selected from each dog.

In conclusion, LINQ provides a clean and efficient method for generating Cartesian products, whether dealing with a fixed or variable number of sets, making it a valuable tool for various data manipulation tasks.

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