aa52bf9e33
Mojang made some changes to priorities in 1.17 and it seems that these changes conflict with the changes made in this patch, which in some cases appears to cause excessive rescheduling of tasks. This, however, is not confirmed as such but seems to be the behavior that we're seeing to cause this issue, if mojang has adopted the changes we suggested, then a good chunk of this patch may be unneeded, but, this needs a much better look than I'm currently able to do
131 Zeilen
6.7 KiB
Diff
131 Zeilen
6.7 KiB
Diff
From 0000000000000000000000000000000000000000 Mon Sep 17 00:00:00 2001
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From: Aikar <aikar@aikar.co>
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Date: Tue, 4 Aug 2020 22:24:15 +0200
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Subject: [PATCH] Optimize Pathfinder - Remove Streams / Optimized collections
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1.17 Update: Please do this k thx bb
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I utilized the IDE to convert streams to non streams code, so shouldn't
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be any risk of behavior change. Only did minor optimization of the
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generated code set to remove unnecessary things.
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I expect us to just drop this patch on next major update and re-apply
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it with the IDE again and re-apply the collections optimization.
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Optimize collection by creating a list instead of a set of the key and value.
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This lets us get faster foreach iteration, as well as avoids map lookups on
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the values when needed.
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diff --git a/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java b/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
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index 076f2dea0e75577ccb0316b3171ed8f44ab6d2ba..3dc896a7ded8d5d109100a393c8299e308954d99 100644
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--- a/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
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+++ b/src/main/java/net/minecraft/world/level/pathfinder/PathFinder.java
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@@ -35,27 +35,31 @@ public class PathFinder {
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this.openSet.clear();
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this.nodeEvaluator.prepare(world, mob);
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Node node = this.nodeEvaluator.getStart();
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- Map<Target, BlockPos> map = positions.stream().collect(Collectors.toMap((blockPos) -> {
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- return this.nodeEvaluator.getGoal((double)blockPos.getX(), (double)blockPos.getY(), (double)blockPos.getZ());
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- }, Function.identity()));
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+ // Paper start - remove streams - and optimize collection
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+ List<Map.Entry<Target, BlockPos>> map = Lists.newArrayList();
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+ for (BlockPos blockPos : positions) {
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+ map.add(new java.util.AbstractMap.SimpleEntry<>(this.nodeEvaluator.getGoal(blockPos.getX(), blockPos.getY(), blockPos.getZ()), blockPos));
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+ }
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+ // Paper end
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Path path = this.findPath(world.getProfiler(), node, map, followRange, distance, rangeMultiplier);
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this.nodeEvaluator.done();
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return path;
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}
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@Nullable
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- private Path findPath(ProfilerFiller profiler, Node startNode, Map<Target, BlockPos> positions, float followRange, int distance, float rangeMultiplier) {
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+ // Paper start - optimize collection
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+ private Path findPath(ProfilerFiller profiler, Node startNode, List<Map.Entry<Target, BlockPos>> positions, float followRange, int distance, float rangeMultiplier) {
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profiler.push("find_path");
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profiler.markForCharting(MetricCategory.PATH_FINDING);
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- Set<Target> set = positions.keySet();
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+ //Set<Target> set = positions.keySet();
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startNode.g = 0.0F;
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- startNode.h = this.getBestH(startNode, set);
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+ startNode.h = this.getBestH(startNode, positions); // Paper - optimize collection
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startNode.f = startNode.h;
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this.openSet.clear();
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this.openSet.insert(startNode);
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- Set<Node> set2 = ImmutableSet.of();
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+ //Set<Node> set2 = ImmutableSet.of(); // Paper - unused - diff on change
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int i = 0;
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- Set<Target> set3 = Sets.newHashSetWithExpectedSize(set.size());
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+ List<Map.Entry<Target, BlockPos>> entryList = Lists.newArrayListWithExpectedSize(positions.size()); // Paper - optimize collection
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int j = (int)((float)this.maxVisitedNodes * rangeMultiplier);
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while(!this.openSet.isEmpty()) {
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@@ -67,14 +71,18 @@ public class PathFinder {
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Node node = this.openSet.pop();
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node.closed = true;
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- for(Target target : set) {
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+ // Paper start - optimize collection
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+ for(int i1 = 0; i1 < positions.size(); i1++) {
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+ final Map.Entry<Target, BlockPos> entry = positions.get(i1);
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+ Target target = entry.getKey();
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if (node.distanceManhattan(target) <= (float)distance) {
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target.setReached();
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- set3.add(target);
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+ entryList.add(entry);
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+ // Paper end
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}
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}
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- if (!set3.isEmpty()) {
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+ if (!entryList.isEmpty()) { // Paper - rename variable
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break;
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}
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@@ -89,7 +97,7 @@ public class PathFinder {
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if (node2.walkedDistance < followRange && (!node2.inOpenSet() || g < node2.g)) {
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node2.cameFrom = node;
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node2.g = g;
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- node2.h = this.getBestH(node2, set) * 1.5F;
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+ node2.h = this.getBestH(node2, positions) * 1.5F; // Paper - list instead of set
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if (node2.inOpenSet()) {
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this.openSet.changeCost(node2, node2.g + node2.h);
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} else {
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@@ -101,19 +109,27 @@ public class PathFinder {
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}
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}
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- Optional<Path> optional = !set3.isEmpty() ? set3.stream().map((target) -> {
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- return this.reconstructPath(target.getBestNode(), positions.get(target), true);
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- }).min(Comparator.comparingInt(Path::getNodeCount)) : set.stream().map((target) -> {
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- return this.reconstructPath(target.getBestNode(), positions.get(target), false);
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- }).min(Comparator.comparingDouble(Path::getDistToTarget).thenComparingInt(Path::getNodeCount));
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- profiler.pop();
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- return !optional.isPresent() ? null : optional.get();
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+ // Paper start - remove streams - and optimize collection
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+ Path best = null;
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+ boolean entryListIsEmpty = entryList.isEmpty();
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+ Comparator<Path> comparator = entryListIsEmpty ? Comparator.comparingInt(Path::getNodeCount)
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+ : Comparator.comparingDouble(Path::getDistToTarget).thenComparingInt(Path::getNodeCount);
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+ for (Map.Entry<Target, BlockPos> entry : entryListIsEmpty ? positions : entryList) {
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+ Path path = this.reconstructPath(entry.getKey().getBestNode(), entry.getValue(), !entryListIsEmpty);
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+ if (best == null || comparator.compare(path, best) < 0)
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+ best = path;
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+ }
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+ return best;
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+ // Paper end
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}
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- private float getBestH(Node node, Set<Target> targets) {
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+ private float getBestH(Node node, List<Map.Entry<Target, BlockPos>> targets) { // Paper - optimize collection - Set<Target> -> List<Map.Entry<Target, BlockPos>>
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float f = Float.MAX_VALUE;
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- for(Target target : targets) {
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+ // Paper start - optimize collection
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+ for (int i = 0, targetsSize = targets.size(); i < targetsSize; i++) {
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+ final Target target = targets.get(i).getKey();
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+ // Paper end
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float g = node.distanceTo(target);
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target.updateBest(g, node);
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f = Math.min(g, f);
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