Use one of the functions
s := []int{4, 2, 3, 1}
sort.Ints(s)
fmt.Println(s) // [1 2 3 4]
Package radix contains a drop-in replacement for sort.Strings, which can be more than twice as fast in some settings.
sort.Slice
.
It sorts a slice using a provided function less(i, j int) bool
.sort.SliceStable
instead.family := []struct {
Name string
Age int
}{
{"Alice", 23},
{"David", 2},
{"Eve", 2},
{"Bob", 25},
}
// Sort by age, keeping original order or equal elements.
sort.SliceStable(family, func(i, j int) bool {
return family[i].Age < family[j].Age
})
fmt.Println(family) // [{David 2} {Eve 2} {Alice 23} {Bob 25}]
sort.Sort
and
sort.Stable
functions.sort.Interface
interface.type Interface interface {
// Len is the number of elements in the collection.
Len() int
// Less reports whether the element with
// index i should sort before the element with index j.
Less(i, j int) bool
// Swap swaps the elements with indexes i and j.
Swap(i, j int)
}
Here’s an example.
type Person struct {
Name string
Age int
}
// ByAge implements sort.Interface based on the Age field.
type ByAge []Person
func (a ByAge) Len() int { return len(a) }
func (a ByAge) Less(i, j int) bool { return a[i].Age < a[j].Age }
func (a ByAge) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
func main() {
family := []Person{
{"Alice", 23},
{"Eve", 2},
{"Bob", 25},
}
sort.Sort(ByAge(family))
fmt.Println(family) // [{Eve 2} {Alice 23} {Bob 25}]
}
A map is an unordered collection of key-value pairs. If you need a stable iteration order, you must maintain a separate data structure.
This code example uses a slice of keys to sort a map in key order.
m := map[string]int{"Alice": 2, "Cecil": 1, "Bob": 3}
keys := make([]string, 0, len(m))
for k := range m {
keys = append(keys, k)
}
sort.Strings(keys)
for _, k := range keys {
fmt.Println(k, m[k])
}
// Output:
// Alice 2
// Bob 3
// Cecil 1
Also, starting with Go 1.12, the
fmt
package prints maps in key-sorted order to ease testing.
All algorithms in the Go sort package make O(n log n) comparisons in the worst case, where n is the number of elements to be sorted.
Most of the functions are implemented using an optimized version of quicksort.