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01a13871de
Patch documentation to come Issues with the old system that are fixed now: - World generation does not scale with cpu cores effectively. - Relies on the main thread for scheduling and maintaining chunk state, dropping chunk load/generate rates at lower tps. - Unreliable prioritisation of chunk gen/load calls that block the main thread. - Shutdown logic is utterly unreliable, as it has to wait for all chunks to unload - is it guaranteed that the chunk system is in a state on shutdown that it can reliably do this? Watchdog shutdown also typically failed due to thread checks, which is now resolved. - Saving of data is not unified (i.e can save chunk data without saving entity data, poses problems for desync if shutdown is really abnormal. - Entities are not loaded with chunks. This caused quite a bit of headache for Chunk#getEntities API, but now the new chunk system loads entities with chunks so that they are ready whenever the chunk loads in. Effectively brings the behavior back to 1.16 era, but still storing entities in their own separate regionfiles. The above list is not complete. The patch documentation will complete it. New chunk system hard relies on starlight and dataconverter, and most importantly the new concurrent utilities in ConcurrentUtil. Some of the old async chunk i/o interface (i.e the old file io thread reroutes _some_ calls to the new file io thread) is kept for plugin compat reasons. It will be removed in the next major version of minecraft. The old legacy chunk system patches have been moved to the removed folder in case we need them again.
135 lines
6.8 KiB
Diff
135 lines
6.8 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 300c812d513e0b948a7e79c0ed241f514c7a09fc..d23481453717f715124156b5d83f6448f720d049 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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@@ -38,9 +38,12 @@ public class PathFinder {
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if (node == null) {
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return null;
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} else {
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- Map<Target, BlockPos> map = positions.stream().collect(Collectors.toMap((pos) -> {
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- return this.nodeEvaluator.getGoal((double)pos.getX(), (double)pos.getY(), (double)pos.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 pos : positions) {
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+ map.add(new java.util.AbstractMap.SimpleEntry<>(this.nodeEvaluator.getGoal(pos.getX(), pos.getY(), pos.getZ()), pos));
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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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@@ -48,18 +51,19 @@ public class PathFinder {
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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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@@ -71,14 +75,18 @@ 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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@@ -93,7 +101,7 @@ 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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@@ -105,23 +113,31 @@ public class PathFinder {
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}
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}
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- Optional<Path> optional = !set3.isEmpty() ? set3.stream().map((node) -> {
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- return this.reconstructPath(node.getBestNode(), positions.get(node), 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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protected float distance(Node a, Node b) {
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return a.distanceTo(b);
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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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