How to Sort Complex Data Structures with Multiple Levels of Child Slices?

Sorting Complex Data Structures with Multiple Levels of Child Slices

This article explores a method for organizing complex data structures involving slices and sub-slices by honoring multiple sorting requirements. Consider the following scenario:

Input Data Structure:

• A slice of Parent structs:

  type Parent struct {
    id       string
    children []Child
  }

• Each Parent has a slice of Child structs:

  type Child struct {
    id string
  }

Sorting Goals:

1. Sort the Parent slice by their id field.
2. For each Parent, sort their children slice by their id field.

Desired Output:

[{1 [{7} {8} {9}]} {2 [{4} {5} {6}]} {3 [{1} {2} {3}]}]

Implementation:

To achieve these sorting goals, the following steps are taken:

1. Sort the Parent Slice:

   sort.Slice(parents, func(i, j int) bool {return parents[i].id < parents[j].id})

   This line sorts the parents slice in ascending order of their id field using the built-in sort.Slice function.

2. Sort Child Slices:

   for _, parent := range parents {
    sort.Slice(parent.children, func(i, j int) bool {return parent.children[i].id < parent.children[j].id})
   }

   This loop iterates over each parent in the sorted parents slice and uses another instance of sort.Slice to sort the children slice of each parent in ascending order of their id field.

By following these steps, the complex data structure can be effectively sorted to satisfy the specified sorting requirements, resulting in the desired output format.

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