mirror of
https://github.com/ceph/ceph-csi.git
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51a5bde97f
updating the depencendices to golang 1.17.5 release Signed-off-by: Madhu Rajanna <madhupr007@gmail.com> |
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.. | ||
.gitignore | ||
CHANGELOG.md | ||
edges.go | ||
iradix.go | ||
iter.go | ||
LICENSE | ||
node.go | ||
raw_iter.go | ||
README.md | ||
reverse_iter.go |
go-immutable-radix
Provides the iradix
package that implements an immutable radix tree.
The package only provides a single Tree
implementation, optimized for sparse nodes.
As a radix tree, it provides the following:
- O(k) operations. In many cases, this can be faster than a hash table since the hash function is an O(k) operation, and hash tables have very poor cache locality.
- Minimum / Maximum value lookups
- Ordered iteration
A tree supports using a transaction to batch multiple updates (insert, delete) in a more efficient manner than performing each operation one at a time.
For a mutable variant, see go-radix.
Documentation
The full documentation is available on Godoc.
Example
Below is a simple example of usage
// Create a tree
r := iradix.New()
r, _, _ = r.Insert([]byte("foo"), 1)
r, _, _ = r.Insert([]byte("bar"), 2)
r, _, _ = r.Insert([]byte("foobar"), 2)
// Find the longest prefix match
m, _, _ := r.Root().LongestPrefix([]byte("foozip"))
if string(m) != "foo" {
panic("should be foo")
}
Here is an example of performing a range scan of the keys.
// Create a tree
r := iradix.New()
r, _, _ = r.Insert([]byte("001"), 1)
r, _, _ = r.Insert([]byte("002"), 2)
r, _, _ = r.Insert([]byte("005"), 5)
r, _, _ = r.Insert([]byte("010"), 10)
r, _, _ = r.Insert([]byte("100"), 10)
// Range scan over the keys that sort lexicographically between [003, 050)
it := r.Root().Iterator()
it.SeekLowerBound([]byte("003"))
for key, _, ok := it.Next(); ok; key, _, ok = it.Next() {
if key >= "050" {
break
}
fmt.Println(key)
}
// Output:
// 005
// 010