PaperMC/patches/server/0474-Optimize-Pathfinder-Remove-Streams-Optimized-collect.patch
2024-01-20 14:25:44 +01:00

134 lines
7.1 KiB
Diff

From 0000000000000000000000000000000000000000 Mon Sep 17 00:00:00 2001
From: Aikar <aikar@aikar.co>
Date: Tue, 4 Aug 2020 22:24:15 +0200
Subject: [PATCH] Optimize Pathfinder - Remove Streams / Optimized collections
I utilized the IDE to convert streams to non streams code, so shouldn't
be any risk of behavior change. Only did minor optimization of the
generated code set to remove unnecessary things.
I expect us to just drop this patch on next major update and re-apply
it with the IDE again and re-apply the collections optimization.
Optimize collection by creating a list instead of a set of the key and value.
This lets us get faster foreach iteration, as well as avoids map lookups on
the values when needed.
diff --git a/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java b/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
index 8519383a9abd45434c1e9888e77548941a80c79c..1d51e113b17a5c522fa7812b1c1f38bf790d8335 100644
--- a/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
+++ b/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
@@ -38,9 +38,12 @@ public class PathFinder {
if (node == null) {
return null;
} else {
- Map<Target, BlockPos> map = positions.stream().collect(Collectors.toMap((pos) -> {
- return this.nodeEvaluator.getGoal((double)pos.getX(), (double)pos.getY(), (double)pos.getZ());
- }, Function.identity()));
+ // Paper start - Perf: remove streams and optimize collection
+ List<Map.Entry<Target, BlockPos>> map = Lists.newArrayList();
+ for (BlockPos pos : positions) {
+ map.add(new java.util.AbstractMap.SimpleEntry<>(this.nodeEvaluator.getGoal(pos.getX(), pos.getY(), pos.getZ()), pos));
+ }
+ // Paper end - Perf: remove streams and optimize collection
Path path = this.findPath(world.getProfiler(), node, map, followRange, distance, rangeMultiplier);
this.nodeEvaluator.done();
return path;
@@ -48,18 +51,19 @@ public class PathFinder {
}
@Nullable
- private Path findPath(ProfilerFiller profiler, Node startNode, Map<Target, BlockPos> positions, float followRange, int distance, float rangeMultiplier) {
+ // Paper start - Perf: remove streams and optimize collection - optimize collection
+ private Path findPath(ProfilerFiller profiler, Node startNode, List<Map.Entry<Target, BlockPos>> positions, float followRange, int distance, float rangeMultiplier) {
profiler.push("find_path");
profiler.markForCharting(MetricCategory.PATH_FINDING);
- Set<Target> set = positions.keySet();
+ // Set<Target> set = positions.keySet();
startNode.g = 0.0F;
- startNode.h = this.getBestH(startNode, set);
+ startNode.h = this.getBestH(startNode, positions); // Paper - optimize collection
startNode.f = startNode.h;
this.openSet.clear();
this.openSet.insert(startNode);
- Set<Node> set2 = ImmutableSet.of();
+ // Set<Node> set2 = ImmutableSet.of(); // Paper - unused - diff on change
int i = 0;
- Set<Target> set3 = Sets.newHashSetWithExpectedSize(set.size());
+ List<Map.Entry<Target, BlockPos>> entryList = Lists.newArrayListWithExpectedSize(positions.size()); // Paper - optimize collection
int j = (int)((float)this.maxVisitedNodes * rangeMultiplier);
while(!this.openSet.isEmpty()) {
@@ -71,14 +75,18 @@ public class PathFinder {
Node node = this.openSet.pop();
node.closed = true;
- for(Target target : set) {
+ // Paper start - optimize collection
+ for(int i1 = 0; i1 < positions.size(); i1++) {
+ final Map.Entry<Target, BlockPos> entry = positions.get(i1);
+ Target target = entry.getKey();
if (node.distanceManhattan(target) <= (float)distance) {
target.setReached();
- set3.add(target);
+ entryList.add(entry);
+ // Paper end - Perf: remove streams and optimize collection
}
}
- if (!set3.isEmpty()) {
+ if (!entryList.isEmpty()) { // Paper - Perf: remove streams and optimize collection; rename
break;
}
@@ -93,7 +101,7 @@ public class PathFinder {
if (node2.walkedDistance < followRange && (!node2.inOpenSet() || g < node2.g)) {
node2.cameFrom = node;
node2.g = g;
- node2.h = this.getBestH(node2, set) * 1.5F;
+ node2.h = this.getBestH(node2, positions) * 1.5F; // Paper - Perf: remove streams and optimize collection
if (node2.inOpenSet()) {
this.openSet.changeCost(node2, node2.g + node2.h);
} else {
@@ -105,23 +113,31 @@ public class PathFinder {
}
}
- Optional<Path> optional = !set3.isEmpty() ? set3.stream().map((node) -> {
- return this.reconstructPath(node.getBestNode(), positions.get(node), true);
- }).min(Comparator.comparingInt(Path::getNodeCount)) : set.stream().map((target) -> {
- return this.reconstructPath(target.getBestNode(), positions.get(target), false);
- }).min(Comparator.comparingDouble(Path::getDistToTarget).thenComparingInt(Path::getNodeCount));
- profiler.pop();
- return optional.isEmpty() ? null : optional.get();
+ // Paper start - Perf: remove streams and optimize collection
+ Path best = null;
+ boolean entryListIsEmpty = entryList.isEmpty();
+ Comparator<Path> comparator = entryListIsEmpty ? Comparator.comparingInt(Path::getNodeCount)
+ : Comparator.comparingDouble(Path::getDistToTarget).thenComparingInt(Path::getNodeCount);
+ for (Map.Entry<Target, BlockPos> entry : entryListIsEmpty ? positions : entryList) {
+ Path path = this.reconstructPath(entry.getKey().getBestNode(), entry.getValue(), !entryListIsEmpty);
+ if (best == null || comparator.compare(path, best) < 0)
+ best = path;
+ }
+ return best;
+ // Paper end - Perf: remove streams and optimize collection
}
protected float distance(Node a, Node b) {
return a.distanceTo(b);
}
- private float getBestH(Node node, Set<Target> targets) {
+ private float getBestH(Node node, List<Map.Entry<Target, BlockPos>> targets) { // Paper - Perf: remove streams and optimize collection; Set<Target> -> List<Map.Entry<Target, BlockPos>>
float f = Float.MAX_VALUE;
- for(Target target : targets) {
+ // Paper start - Perf: remove streams and optimize collection
+ for (int i = 0, targetsSize = targets.size(); i < targetsSize; i++) {
+ final Target target = targets.get(i).getKey();
+ // Paper end - Perf: remove streams and optimize collection
float g = node.distanceTo(target);
target.updateBest(g, node);
f = Math.min(g, f);