btcd/database/internal/treap/immutable.go
Calvin Kim e009124748 treap, ffldb: change Put() to take in multiple key-value pairs
Previously, the Put() function took in a single key-value pair,
resulting in memory allocation overhead as the intermediary treapNodes
got allocated and immediately garbage collected, resulting in
performance loss due to the garbage collection overhead.

We're able to recycle the intermediary treapNodes allocated by taking in
multiple key-value pairs.  This results in better performance of the
node especially during UTXO cache flushes.
2025-11-14 14:58:35 +01:00

440 lines
14 KiB
Go

// Copyright (c) 2015-2016 The btcsuite developers
// Use of this source code is governed by an ISC
// license that can be found in the LICENSE file.
package treap
import (
"bytes"
"math/rand"
)
// cloneTreapNode returns a shallow copy of the passed node.
func cloneTreapNode(node *treapNode) *treapNode {
n := treapNodePool.Get().(*treapNode)
n.key = node.key
n.value = node.value
n.priority = node.priority
n.left = node.left
n.right = node.right
return n
}
// Immutable represents a treap data structure which is used to hold ordered
// key/value pairs using a combination of binary search tree and heap semantics.
// It is a self-organizing and randomized data structure that doesn't require
// complex operations to maintain balance. Search, insert, and delete
// operations are all O(log n). In addition, it provides O(1) snapshots for
// multi-version concurrency control (MVCC).
//
// All operations which result in modifying the treap return a new version of
// the treap with only the modified nodes updated. All unmodified nodes are
// shared with the previous version. This is extremely useful in concurrent
// applications since the caller only has to atomically replace the treap
// pointer with the newly returned version after performing any mutations. All
// readers can simply use their existing pointer as a snapshot since the treap
// it points to is immutable. This effectively provides O(1) snapshot
// capability with efficient memory usage characteristics since the old nodes
// only remain allocated until there are no longer any references to them.
type Immutable struct {
root *treapNode
count int
// totalSize is the best estimate of the total size of of all data in
// the treap including the keys, values, and node sizes.
totalSize uint64
}
// newImmutable returns a new immutable treap given the passed parameters.
func newImmutable(root *treapNode, count int, totalSize uint64) *Immutable {
return &Immutable{root: root, count: count, totalSize: totalSize}
}
// Len returns the number of items stored in the treap.
func (t *Immutable) Len() int {
return t.count
}
// Size returns a best estimate of the total number of bytes the treap is
// consuming including all of the fields used to represent the nodes as well as
// the size of the keys and values. Shared values are not detected, so the
// returned size assumes each value is pointing to different memory.
func (t *Immutable) Size() uint64 {
return t.totalSize
}
// get returns the treap node that contains the passed key. It will return nil
// when the key does not exist.
func (t *Immutable) get(key []byte) *treapNode {
for node := t.root; node != nil; {
// Traverse left or right depending on the result of the
// comparison.
compareResult := bytes.Compare(key, node.key)
if compareResult < 0 {
node = node.left
continue
}
if compareResult > 0 {
node = node.right
continue
}
// The key exists.
return node
}
// A nil node was reached which means the key does not exist.
return nil
}
// Has returns whether or not the passed key exists.
func (t *Immutable) Has(key []byte) bool {
if node := t.get(key); node != nil {
return true
}
return false
}
// Get returns the value for the passed key. The function will return nil when
// the key does not exist.
func (t *Immutable) Get(key []byte) []byte {
if node := t.get(key); node != nil {
return node.value
}
return nil
}
// KVPair is just a helper struct for a key-value pair that's going to be
// inserted into the treap.
type KVPair struct {
Key []byte
Value []byte
}
// Put puts the passed in key/value pairs into the treap. For operations
// requiring many insertions at once, Put is memory efficient as the
// intermediary treap nodes created between each put operation is recycled
// through an internal sync.Pool, reducing overall memory allocation.
func (t *Immutable) Put(kvPairs ...KVPair) *Immutable {
treap := t
var prevTreapNodes [staticDepth]*treapNode
for _, kvPair := range kvPairs {
newTreap, newTreapNodes := treap.put(kvPair.Key, kvPair.Value)
// Loop through the prevTreapNodes and check for treapNodes that
// are no longer being utilized. These will be garbaged collected
// and they're better off being recycled in the treapNodePool.
for _, node := range prevTreapNodes {
if node == nil {
break
}
// Make sure that the node we're going to recycle isn't
// being used by the latest immutable treap by checking
// if the pointer value of the node is the same.
got := newTreap.get(node.key)
if got == node {
continue
}
// This node is only being used by the previous immutable
// copy and can safely be put into the treapNodePool to be
// recycled.
node.recycle()
}
// Replace with the latest treap and treap nodes.
treap = newTreap
prevTreapNodes = newTreapNodes
}
return treap
}
// put inserts the passed key/value pair and returns all the newly created
// treapNodes that were created during this put operation. The returned
// treapNodes can then be put into data structures like sync.Pool to reduce the
// memory overhead of allocating new treapNodes during multiple put calls.
func (t *Immutable) put(key, value []byte) (*Immutable, [staticDepth]*treapNode) {
// Use an empty byte slice for the value when none was provided. This
// ultimately allows key existence to be determined from the value since
// an empty byte slice is distinguishable from nil.
if value == nil {
value = emptySlice
}
// recycle is the treapNodes that are created during this put operation.
// We keep track of the nodes as the caller may be choose to recycle
// them to keep memory allocation low.
var (
recycle [staticDepth]*treapNode
currentRecycleIndex int
)
// The node is the root of the tree if there isn't already one.
if t.root == nil {
root := newTreapNode(key, value, rand.Int())
recycle[currentRecycleIndex] = root
return newImmutable(root, 1, nodeSize(root)), recycle
}
// Find the binary tree insertion point and construct a replaced list of
// parents while doing so. This is done because this is an immutable
// data structure so regardless of where in the treap the new key/value
// pair ends up, all ancestors up to and including the root need to be
// replaced.
//
// When the key matches an entry already in the treap, replace the node
// with a new one that has the new value set and return.
var parents parentStack
var compareResult int
for node := t.root; node != nil; {
// Clone the node and link its parent to it if needed.
nodeCopy := cloneTreapNode(node)
// Check if we still have space in the recycle for this node.
// It's ok if we don't put every single new node to be recycled
// as there's no guarantee in the sync.Pool that every recycled
// treapNode will be re-utilized.
if currentRecycleIndex < staticDepth {
recycle[currentRecycleIndex] = nodeCopy
currentRecycleIndex++
}
if oldParent := parents.At(0); oldParent != nil {
if oldParent.left == node {
oldParent.left = nodeCopy
} else {
oldParent.right = nodeCopy
}
}
parents.Push(nodeCopy)
// Traverse left or right depending on the result of comparing
// the keys.
compareResult = bytes.Compare(key, node.key)
if compareResult < 0 {
node = node.left
continue
}
if compareResult > 0 {
node = node.right
continue
}
// The key already exists, so update its value.
nodeCopy.value = value
// Return new immutable treap with the replaced node and
// ancestors up to and including the root of the tree.
newRoot := parents.At(parents.Len() - 1)
newTotalSize := t.totalSize - uint64(len(node.value)) +
uint64(len(value))
return newImmutable(newRoot, t.count, newTotalSize), recycle
}
// Check if we still have space in the recycle for this node.
// It's ok if we don't put every single new node to be recycled
// as there's no guarantee in the sync.Pool that every recycled
// treapNode will be re-utilized.
node := newTreapNode(key, value, rand.Int())
if currentRecycleIndex < staticDepth {
recycle[currentRecycleIndex] = node
currentRecycleIndex++
}
// Link the new node into the binary tree in the correct position.
parent := parents.At(0)
if compareResult < 0 {
parent.left = node
} else {
parent.right = node
}
// Perform any rotations needed to maintain the min-heap and replace
// the ancestors up to and including the tree root.
newRoot := parents.At(parents.Len() - 1)
for parents.Len() > 0 {
// There is nothing left to do when the node's priority is
// greater than or equal to its parent's priority.
parent = parents.Pop()
if node.priority >= parent.priority {
break
}
// Perform a right rotation if the node is on the left side or
// a left rotation if the node is on the right side.
if parent.left == node {
node.right, parent.left = parent, node.right
} else {
node.left, parent.right = parent, node.left
}
// Either set the new root of the tree when there is no
// grandparent or relink the grandparent to the node based on
// which side the old parent the node is replacing was on.
grandparent := parents.At(0)
if grandparent == nil {
newRoot = node
} else if grandparent.left == parent {
grandparent.left = node
} else {
grandparent.right = node
}
}
return newImmutable(newRoot, t.count+1, t.totalSize+nodeSize(node)), recycle
}
// Delete removes the passed key from the treap and returns the resulting treap
// if it exists. The original immutable treap is returned if the key does not
// exist.
func (t *Immutable) Delete(key []byte) *Immutable {
// Find the node for the key while constructing a list of parents while
// doing so.
var parents parentStack
var delNode *treapNode
for node := t.root; node != nil; {
parents.Push(node)
// Traverse left or right depending on the result of the
// comparison.
compareResult := bytes.Compare(key, node.key)
if compareResult < 0 {
node = node.left
continue
}
if compareResult > 0 {
node = node.right
continue
}
// The key exists.
delNode = node
break
}
// There is nothing to do if the key does not exist.
if delNode == nil {
return t
}
// When the only node in the tree is the root node and it is the one
// being deleted, there is nothing else to do besides removing it.
parent := parents.At(1)
if parent == nil && delNode.left == nil && delNode.right == nil {
return newImmutable(nil, 0, 0)
}
// Construct a replaced list of parents and the node to delete itself.
// This is done because this is an immutable data structure and
// therefore all ancestors of the node that will be deleted, up to and
// including the root, need to be replaced.
var newParents parentStack
for i := parents.Len(); i > 0; i-- {
node := parents.At(i - 1)
nodeCopy := cloneTreapNode(node)
if oldParent := newParents.At(0); oldParent != nil {
if oldParent.left == node {
oldParent.left = nodeCopy
} else {
oldParent.right = nodeCopy
}
}
newParents.Push(nodeCopy)
}
delNode = newParents.Pop()
parent = newParents.At(0)
// Perform rotations to move the node to delete to a leaf position while
// maintaining the min-heap while replacing the modified children.
var child *treapNode
newRoot := newParents.At(newParents.Len() - 1)
for delNode.left != nil || delNode.right != nil {
// Choose the child with the higher priority.
var isLeft bool
if delNode.left == nil {
child = delNode.right
} else if delNode.right == nil {
child = delNode.left
isLeft = true
} else if delNode.left.priority >= delNode.right.priority {
child = delNode.left
isLeft = true
} else {
child = delNode.right
}
// Rotate left or right depending on which side the child node
// is on. This has the effect of moving the node to delete
// towards the bottom of the tree while maintaining the
// min-heap.
child = cloneTreapNode(child)
if isLeft {
child.right, delNode.left = delNode, child.right
} else {
child.left, delNode.right = delNode, child.left
}
// Either set the new root of the tree when there is no
// grandparent or relink the grandparent to the node based on
// which side the old parent the node is replacing was on.
//
// Since the node to be deleted was just moved down a level, the
// new grandparent is now the current parent and the new parent
// is the current child.
if parent == nil {
newRoot = child
} else if parent.left == delNode {
parent.left = child
} else {
parent.right = child
}
// The parent for the node to delete is now what was previously
// its child.
parent = child
}
// Delete the node, which is now a leaf node, by disconnecting it from
// its parent.
if parent.right == delNode {
parent.right = nil
} else {
parent.left = nil
}
return newImmutable(newRoot, t.count-1, t.totalSize-nodeSize(delNode))
}
// ForEach invokes the passed function with every key/value pair in the treap
// in ascending order.
func (t *Immutable) ForEach(fn func(k, v []byte) bool) {
// Add the root node and all children to the left of it to the list of
// nodes to traverse and loop until they, and all of their child nodes,
// have been traversed.
var parents parentStack
for node := t.root; node != nil; node = node.left {
parents.Push(node)
}
for parents.Len() > 0 {
node := parents.Pop()
if !fn(node.key, node.value) {
return
}
// Extend the nodes to traverse by all children to the left of
// the current node's right child.
for node := node.right; node != nil; node = node.left {
parents.Push(node)
}
}
}
// NewImmutable returns a new empty immutable treap ready for use. See the
// documentation for the Immutable structure for more details.
func NewImmutable() *Immutable {
return &Immutable{}
}