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Author SHA1 Message Date
louis-e
1f7e1ce45c Implement fallback for tile cache 2026-01-23 22:40:49 +01:00
17 changed files with 211 additions and 2779 deletions

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#!/usr/bin/env python3
"""Analyze performance data from Windows Performance Monitor CSV exports."""
import csv
from datetime import datetime
from pathlib import Path
def parse_pdh_csv(filepath):
"""Parse a Windows Performance Monitor CSV file."""
data = []
with open(filepath, 'r', encoding='utf-8-sig', errors='replace') as f:
reader = csv.reader(f)
header = next(reader)
# Clean up column names - extract the metric name
clean_cols = []
for col in header:
if 'Verfügbare MB' in col or 'Verf' in col:
clean_cols.append('available_mb')
elif 'Zugesicherte' in col:
clean_cols.append('committed_pct')
elif 'Bytes geschrieben' in col:
clean_cols.append('disk_write_bytes_sec')
elif 'Arbeitsseiten' in col and 'arnis-windows' not in col:
clean_cols.append('working_set')
elif 'Arbeitsseiten' in col and 'arnis-windows' in col:
clean_cols.append('gui_working_set')
elif 'Private Bytes' in col and 'arnis-windows' not in col:
clean_cols.append('private_bytes')
elif 'Private Bytes' in col and 'arnis-windows' in col:
clean_cols.append('gui_private_bytes')
elif 'Prozessorzeit' in col and 'arnis-windows' not in col and 'Prozessorinformationen' not in col:
clean_cols.append('cpu_pct')
elif 'Prozessorzeit' in col and 'arnis-windows' in col:
clean_cols.append('gui_cpu_pct')
elif 'Threadanzahl' in col and 'arnis-windows' not in col:
clean_cols.append('thread_count')
elif 'Threadanzahl' in col and 'arnis-windows' in col:
clean_cols.append('gui_thread_count')
elif 'PDH-CSV' in col:
clean_cols.append('timestamp')
else:
clean_cols.append(col[:30]) # truncate long names
for row in reader:
if not row or not row[0].strip():
continue
entry = {}
for i, val in enumerate(row):
if i >= len(clean_cols):
break
col_name = clean_cols[i]
if col_name == 'timestamp':
try:
entry[col_name] = datetime.strptime(val.strip(), '%m/%d/%Y %H:%M:%S.%f')
except:
entry[col_name] = val
elif val.strip() == '' or val.strip() == ' ':
entry[col_name] = None
else:
try:
entry[col_name] = float(val)
except:
entry[col_name] = val
data.append(entry)
return data
def analyze_run(data, name):
"""Analyze a single run's data."""
print(f"\n{'='*60}")
print(f" {name}")
print(f"{'='*60}")
# Time range
timestamps = [d.get('timestamp') for d in data if isinstance(d.get('timestamp'), datetime)]
if timestamps:
duration = (timestamps[-1] - timestamps[0]).total_seconds()
print(f"Duration: {duration:.1f}s ({duration/60:.1f} min)")
# Memory usage (working set) - prefer 'working_set' (arnis backend) over gui_working_set
working_sets = [d.get('working_set') for d in data if d.get('working_set') is not None]
gui_ws = [d.get('gui_working_set') for d in data if d.get('gui_working_set') is not None]
# Use GUI working set if backend working set not available (before scenario)
if working_sets:
max_ws = max(working_sets) / (1024**3) # GB
avg_ws = sum(working_sets) / len(working_sets) / (1024**3)
print(f"Backend Working Set: max={max_ws:.2f} GB, avg={avg_ws:.2f} GB")
if gui_ws:
max_gui_ws = max(gui_ws) / (1024**3)
print(f"GUI Working Set: max={max_gui_ws:.2f} GB")
# For before, we only have GUI data, so use that as the main metric
if not working_sets:
working_sets = gui_ws
max_ws = max_gui_ws
# Private bytes
private = [d.get('private_bytes') for d in data if d.get('private_bytes') is not None]
if private:
max_private = max(private) / (1024**3)
avg_private = sum(private) / len(private) / (1024**3)
print(f"Private Bytes: max={max_private:.2f} GB, avg={avg_private:.2f} GB")
# Available system memory
avail = [d.get('available_mb') for d in data if d.get('available_mb') is not None]
if avail:
min_avail = min(avail) / 1024 # GB
max_avail = max(avail) / 1024
print(f"System Available Memory: min={min_avail:.2f} GB, max={max_avail:.2f} GB")
# CPU usage
cpu = [d.get('cpu_pct') for d in data if d.get('cpu_pct') is not None]
if cpu:
max_cpu = max(cpu)
avg_cpu = sum(cpu) / len(cpu)
print(f"CPU %: max={max_cpu:.1f}%, avg={avg_cpu:.1f}%")
# Thread count
threads = [d.get('thread_count') for d in data if d.get('thread_count') is not None]
if threads:
max_threads = max(threads)
print(f"Thread count: max={int(max_threads)}")
# Disk writes
disk = [d.get('disk_write_bytes_sec') for d in data if d.get('disk_write_bytes_sec') is not None]
if disk:
max_disk = max(disk) / (1024**2) # MB/s
avg_disk = sum(disk) / len(disk) / (1024**2)
print(f"Disk Write: max={max_disk:.1f} MB/s, avg={avg_disk:.1f} MB/s")
return {
'duration': duration if timestamps else 0,
'max_working_set_gb': max(working_sets) / (1024**3) if working_sets else 0,
'max_private_bytes_gb': max(private) / (1024**3) if private else 0,
'avg_cpu': sum(cpu) / len(cpu) if cpu else 0,
'max_cpu': max(cpu) if cpu else 0,
}
def main():
print("Performance Analysis: BEFORE vs AFTER Parallel Processing")
print("=" * 60)
before_path = Path("arnis_before.csv")
after_path = Path("arnis_after.csv")
if before_path.exists():
before_data = parse_pdh_csv(before_path)
before_stats = analyze_run(before_data, "BEFORE (Sequential)")
else:
print("arnis_before.csv not found")
before_stats = None
if after_path.exists():
after_data = parse_pdh_csv(after_path)
after_stats = analyze_run(after_data, "AFTER (Parallel)")
else:
print("arnis_after.csv not found")
after_stats = None
# Comparison
if before_stats and after_stats:
print(f"\n{'='*60}")
print(" COMPARISON")
print(f"{'='*60}")
time_diff = after_stats['duration'] - before_stats['duration']
time_ratio = after_stats['duration'] / before_stats['duration'] if before_stats['duration'] > 0 else 0
print(f"Duration: {before_stats['duration']:.1f}s -> {after_stats['duration']:.1f}s ({time_ratio:.2f}x, {time_diff:+.1f}s)")
mem_ratio = after_stats['max_working_set_gb'] / before_stats['max_working_set_gb'] if before_stats['max_working_set_gb'] > 0 else 0
print(f"Peak Memory: {before_stats['max_working_set_gb']:.2f} GB -> {after_stats['max_working_set_gb']:.2f} GB ({mem_ratio:.2f}x)")
cpu_diff = after_stats['avg_cpu'] - before_stats['avg_cpu']
print(f"Avg CPU: {before_stats['avg_cpu']:.1f}% -> {after_stats['avg_cpu']:.1f}% ({cpu_diff:+.1f}%)")
if __name__ == '__main__':
main()

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@@ -1,212 +0,0 @@
"(PDH-CSV 4.0) (Mitteleurop<6F>ische Zeit)(-60)","\\ROADRUNNER\Arbeitsspeicher\Verf<72>gbare MB","\\ROADRUNNER\Arbeitsspeicher\Zugesicherte verwendete Bytes (%)","\\ROADRUNNER\Physikalischer Datentr<74>ger(0 C:)\Aktuelle Warteschlangenl<6E>nge","\\ROADRUNNER\Physikalischer Datentr<74>ger(0 C:)\Bytes geschrieben/s","\\ROADRUNNER\Physikalischer Datentr<74>ger(0 C:)\Mittlere Sek./Schreibvorg<72>nge","\\ROADRUNNER\Physikalischer Datentr<74>ger(0 C:)\Schreibvorg<72>nge/s","\\ROADRUNNER\Physikalischer Datentr<74>ger(0 C:)\Zeit (%)","\\ROADRUNNER\Prozess(arnis-windows)\Arbeitsseiten","\\ROADRUNNER\Prozess(arnis)\Arbeitsseiten","\\ROADRUNNER\Prozess(arnis-windows)\E/A-Bytes gelesen/s","\\ROADRUNNER\Prozess(arnis)\E/A-Bytes gelesen/s","\\ROADRUNNER\Prozess(arnis-windows)\E/A-Datenbytes/s","\\ROADRUNNER\Prozess(arnis)\E/A-Datenbytes/s","\\ROADRUNNER\Prozess(arnis-windows)\E/A-Schreibvorg<72>nge/s","\\ROADRUNNER\Prozess(arnis)\E/A-Schreibvorg<72>nge/s","\\ROADRUNNER\Prozess(arnis-windows)\Private Bytes","\\ROADRUNNER\Prozess(arnis)\Private Bytes","\\ROADRUNNER\Prozess(arnis-windows)\Prozessorzeit (%)","\\ROADRUNNER\Prozess(arnis)\Prozessorzeit (%)","\\ROADRUNNER\Prozess(arnis-windows)\Threadanzahl","\\ROADRUNNER\Prozess(arnis)\Threadanzahl","\\ROADRUNNER\Prozessorinformationen(0,0)\Prozessorzeit (%)"
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1 (PDH-CSV 4.0) (Mitteleuropäische Zeit)(-60) \\ROADRUNNER\Arbeitsspeicher\Verfügbare MB \\ROADRUNNER\Arbeitsspeicher\Zugesicherte verwendete Bytes (%) \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Aktuelle Warteschlangenlänge \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Bytes geschrieben/s \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Mittlere Sek./Schreibvorgänge \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Schreibvorgänge/s \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Zeit (%) \\ROADRUNNER\Prozess(arnis-windows)\Arbeitsseiten \\ROADRUNNER\Prozess(arnis)\Arbeitsseiten \\ROADRUNNER\Prozess(arnis-windows)\E/A-Bytes gelesen/s \\ROADRUNNER\Prozess(arnis)\E/A-Bytes gelesen/s \\ROADRUNNER\Prozess(arnis-windows)\E/A-Datenbytes/s \\ROADRUNNER\Prozess(arnis)\E/A-Datenbytes/s \\ROADRUNNER\Prozess(arnis-windows)\E/A-Schreibvorgänge/s \\ROADRUNNER\Prozess(arnis)\E/A-Schreibvorgänge/s \\ROADRUNNER\Prozess(arnis-windows)\Private Bytes \\ROADRUNNER\Prozess(arnis)\Private Bytes \\ROADRUNNER\Prozess(arnis-windows)\Prozessorzeit (%) \\ROADRUNNER\Prozess(arnis)\Prozessorzeit (%) \\ROADRUNNER\Prozess(arnis-windows)\Threadanzahl \\ROADRUNNER\Prozess(arnis)\Threadanzahl \\ROADRUNNER\Prozessorinformationen(0,0)\Prozessorzeit (%)
2 01/27/2026 21:49:44.151 12746 64.201036203699430871 0 29315072 8900608 40
3 01/27/2026 21:49:45.152 12743 64.19952420149918737 0 116877.24273461557459 8.3499999999999996751e-005 23.231614550748048487 0.19385484677997560921 29315072 0 0 0 8900608 0 40 6.2790441242259076304
4 01/27/2026 21:49:46.171 12742 64.208226502921490919 0 142183.78738217015052 0.00030800000000000000554 4.9064082991307609305 0.15111770184909190107 29315072 0 0 0 8900608 0 40 3.4048780794156852103
5 01/27/2026 21:49:47.170 12742 64.206333752769580769 0 0 0 0 0 29315072 0 0 0 8900608 0 40 0
6 01/27/2026 21:49:48.167 12765 64.218516965447577149 0 92406.716692898364272 0.00028894000000000000846 5.013385237244920134 0.1788449123872541402 29315072 0 0 0 8900608 0 40 4.4122934340259050146
7 01/27/2026 21:49:49.168 12764 64.214459518951940709 0 150899.54270564959734 0.00011216363636363636347 10.989770721412510213 0.12326769080690583302 29315072 0 0 0 8900608 0 40 3.2131824694520805252
8 01/27/2026 21:49:50.169 12749 64.293889786185204116 0 169198.42306973855011 0.00023646999999999999075 9.9838571014526618086 0.2360349639579291392 29315072 223.63839907253964157 223.63839907253964157 0 8900608 0 40 3.3032218318417294611
9 01/27/2026 21:49:51.167 12750 64.293280608089006023 0 57488.566498172956926 0.00017981249999999998645 8.0201683172674318456 0.14424488479661923268 29315072 0 0 0 8900608 0 40 1.2922777395397599953
10 01/27/2026 21:49:52.156 12749 64.287896073490358617 0 10873.380635370705932 0.00022130000000000001233 3.0338673647797729238 0.067124930729073398195 29315072 0 0 0 8900608 0 40 0.47280661781649024888
11 01/27/2026 21:49:53.166 12750 64.292388633892954886 0 198668.69878159218933 0.0001286857142857142811 13.858028653849903122 0.17838443271057205508 29372416 221.72845846159844996 605.79382401115287848 2.9695775686821219708 8900608 0 40 0.98555022725796970207
12 01/27/2026 21:49:54.165 12733 64.284621822714015593 0 1296829.4491823313292 0.00012115833333333332839 36.026598437626496718 0.43636684508381734515 33755136 448.33100277935199074 4211895.6425528964028 5.0036942274481246429 8019968 1.5632051618485096611 40 3.0812799653923916843
13 01/27/2026 21:49:55.162 12723 64.314361932760661489 0 0 0 0 0.073700618954755645063 35278848 503170.75050394039135 508278.39024856238393 6.0207934121281256878 9277440 3.1356628214242530106 45 9.0622377543083878493
14 01/27/2026 21:49:56.153 12724 64.318321497253677421 0 1247689.9431102154776 0.00041058888888888885223 9.0778351743519287709 0.37273695420660279964 35278848 0 0 0 9277440 0 45 0.71209912904023342506
15 01/27/2026 21:49:57.169 12725 64.313622253088652769 0 1039800.1256299206289 0.0015873499999999999589 1.9678872290416073998 0.31244015098534727581 35278848 0 0 0 9277440 0 45 0.046609649890272386585
16 01/27/2026 21:49:58.170 12775 64.089679383693649584 0 0 0 0 0 35278848 0 0 0 9277440 0 45 1.5790544030494069183
17 01/27/2026 21:49:59.168 12790 64.034974543385899892 0 1050344.1493410007097 0.0025869999999999998899 1.0016862386140830132 0.25918488307926468295 35278848 0 0 0 9277440 0 45 0
18 01/27/2026 21:50:00.169 12762 64.097174248680744313 0 114080.13845965237124 6.3770000000000007776e-005 19.983208110224978782 0.31184487053797710354 35278848 0 0 0 9277440 0 45 6.3476419485044903723
19 01/27/2026 21:50:01.170 12773 64.067890998923189727 0 24040.855868055819883 0.00022316666666666665209 5.9942293553995567024 0.13379846034844156133 35278848 0 0 0 9277440 0 45 1.6371475687101066931
20 01/27/2026 21:50:02.158 12772 64.128752719640900182 0 0 0 0 0 35655680 226.61720206666794297 339.92580310000192867 1.0116839377976247771 9707520 0 45 2.0117555548587517933
21 01/27/2026 21:50:03.170 12763 64.150530231220301403 0 76922.788000345550245 0.00013399166666666666647 11.861038445776966199 0.15892774821748678615 43597824 0 0 0 18137088 0 45 1.160689787685253993
22 01/27/2026 21:50:04.169 12757 64.162452394180576221 0 0 0 0 0 50364416 0 0 0 25014272 3.1283388760824424324 45 1.4574832398887460627
23 01/27/2026 21:50:05.170 12748 64.166335776486988607 0 0 0 0 0 58380288 0 0 0 33206272 4.6817582916311435426 44 3.2442901147175629006
24 01/27/2026 21:50:06.170 12743 64.188428750305533299 0 151560.24487732132548 0.00031206666666666664457 3.0001632088785630259 0.093621591567056641758 66879488 0 0 0 42012672 1.5625265629515703303 44 6.2484062229057890647
25 01/27/2026 21:50:07.170 12739 64.129046412214890438 0 0 0 0 0 77299712 0 0 0 52727808 3.1265858043199514782 44 1.5125471639215404274
26 01/27/2026 21:50:08.168 12737 64.136737087773326493 0 221512.63614698767196 0.00034925714285714284327 7.0104006303752246509 0.24484697664860091693 90259456 0 0 0 66203648 6.2593815610837513219 44 1.4147404129309038012
27 01/27/2026 21:50:09.169 12725 64.169577384407077147 0 0 0 0 0 102637568 0 0 0 78856192 3.1220552774622976067 44 4.7759060488242743858
28 01/27/2026 21:50:10.168 12714 64.20401676190179785 0 98440.33987072094169 0.00028076666666666669691 3.0041607626562787381 0.084346626079880651639 115486720 0 0 0 92315648 9.3879807609982321992 44 0
29 01/27/2026 21:50:11.168 12709 64.234637972953407825 0 4094.1564013724619144 0.00063150000000000000838 0.99954990267882370958 0.063123582780606313225 127291392 0 0 0 104419328 1.5618463672952869192 44 3.1655252276922118959
30 01/27/2026 21:50:12.171 12693 64.269240494880193637 0 0 0 0 0 139763712 0 0 0 117067776 1.5584051346681460082 44 3.3788816505749497132
31 01/27/2026 21:50:13.169 12678 64.303070694278702035 0 86179.525649920717115 8.6116666666666668293e-005 12.022813288214386773 0.103538348414056805 151339008 0 0 0 129167360 3.1309980529700749408 44 7.6355574373827899137
32 01/27/2026 21:50:14.170 12675 64.328601086588719227 0 36319.403335506380245 0.0003498500000000000199 1.9982066095679127393 0.069903319223792420578 161058816 0 0 0 139071488 7.8050547582660900758 44 9.4569052834805660268
33 01/27/2026 21:50:15.171 12663 64.339283146974466376 0 118633.95177779145888 0.00012265714285714286475 13.982315167775798415 0.21097823966660581019 169115648 0 0 0 147320832 0 44 3.2452274803329350661
34 01/27/2026 21:50:16.169 12680 64.299111153068750468 0 176383.79177483185777 0.00023925714285714285291 7.0101661429404922288 0.16771888200363777033 170295296 0 0 0 157147136 17.212015073068570814 43 4.5515527766197383386
35 01/27/2026 21:50:17.162 12513 64.808707070725205313 0 0 0 0 0 316452864 677.35714996334513671 1016.0357249450175914 3.0239158480506476145 304222208 100.79634149598905424 43 5.5002579464959122646
36 01/27/2026 21:50:18.153 12047 66.17082400856791935 0 12386.270190436887788 0.00065830000000000000928 1.0079972485707102692 0.066365275768236281495 801759232 2192698.4308103630319 2192924.2221940429881 2.0159944971414205384 816644096 99.237913313622357236 52 11.791482726705716289
37 01/27/2026 21:50:19.171 12056 66.073673676250891162 0 1027943.840953755076 3.7708670520231215542e-005 170.09431287206899697 0.64131760114815083984 801427456 0 0 0 785248256 1238.0577502390588052 52 87.711305333657236361
38 01/27/2026 21:50:20.169 11683 67.189482824688198548 0 0 0 0 0 1193062400 0 0 0 1207631872 1199.2725857534383067 52 84.344063870207534706
39 01/27/2026 21:50:21.167 12197 65.758976681567489209 0 98431.981262036904809 0.00028293333333333334396 3.0039056781627473391 0.084988666508998403359 654458880 1121.458119847425678 1682.1871797711382897 5.0065094636045781584 660942848 730.62167287093279811 43 48.371487784280986943
40 01/27/2026 21:50:22.170 10914 69.570106284127135154 0 44927.0100614126859 0.00010571250000000000134 7.9770969569269674082 0.08433404178449116495 1999941632 9424.9400546092128934 8602926.1387629974633 944.28885227622981802 2108280832 1338.4426712501094698 58 92.209297606227536903
41 01/27/2026 21:50:23.167 10679 70.1412165933617473 0 4277087.253197716549 0.0014359999999999999935 9.0255911611784060966 1.2959332323647190233 2215051264 60423.324293702367868 41892262.32058378309 17601.908451222596341 2323849216 501.36692678919808941 58 76.497374223974631491
42 01/27/2026 21:50:24.169 10607 70.305211462617194229 0 9362936.4392447564751 0.0034966624999999999443 15.978143497509757154 5.5869539144657771601 2273783808 30410.40161163544326 19318356.420252736658 10537.585636607684137 2381434880 240.29356308843210854 58 54.750532508216053884
43 01/27/2026 21:50:25.171 10556 70.377277413005302265 0 4086.1291378417158739 0.00061390000000000001425 0.99759012154338766454 0.061243817132885514098 2304122880 38135.875166360623552 27797729.025991909206 10224.301155698180082 2411061248 235.37568178514703732 57 50.11922005215334508
44 01/27/2026 21:50:26.169 10646 70.013956299520557991 0 12642454.189482485875 0.0076883823529411768338 17.036079008123401479 13.097755286100811745 2325094400 9536.1957553707234183 1859914.9278341671452 7154.1510611172334393 2431336448 156.57881551257642627 57 31.107005701033063616
45 01/27/2026 21:50:27.169 10639 70.032013573225597725 0 9942254.8753778282553 0.00032751532258064514937 248.13374408806345173 8.1984747810162996728 2341912576 14751.951301751643769 9674004.2883113995194 4919.6516922621294725 2447740928 129.76228200311840055 57 17.140021232166034792
46 01/27/2026 21:50:28.169 10624 70.059763051117712962 1 0 0 0 0 2350510080 13887.055680213745291 9623900.5747609175742 4279.7089797893740979 2456276992 162.48695229773048254 57 34.378845399659574866
47 01/27/2026 21:50:29.169 10544 70.400751864165243887 0 13819735.229708110914 0.001033360666666666627 149.95372428068696991 15.595066527935175671 2350444544 8909.250605263214311 5178735.842119121924 3445.9365839701863479 2456023040 148.39274474818395788 57 35.958204712416474536
48 01/27/2026 21:50:30.168 10457 70.639075285438238438 0 8541511.430721545592 0.0019598948717948717554 39.043623440470035746 7.6521811037251517007 2350706688 3752.1923244841459564 789298.88364269398153 2816.1464804626207297 2456023040 115.75495809144926795 57 60.893595239375251538
49 01/27/2026 21:50:31.169 10423 70.760374486157758156 0 8897102.315781397745 0.00084457578947368431264 94.918901290737196064 8.0169842597338760726 2350759936 3313.169228211416339 735583.51744269696064 2486.8752138173144886 2456023040 110.84782411029476634 57 11.009493319904194664
50 01/27/2026 21:50:32.169 10472 70.549963710492008317 0 143323.28057551657548 0.00015364545454545454947 10.997182521837906677 0.16895169477013483039 2350858240 7158.1660778508548901 4886054.1929157748818 2300.410634795365695 2456023040 118.70903351253483038 57 34.39580309083989107
51 01/27/2026 21:50:33.170 10485 70.514849915754723497 0 13130170.966100767255 0.0013322203252032521932 122.86999126224540646 16.369284307391883004 2350968832 3164.6514822666135842 660591.02863260381855 2373.4886116999600745 2456023040 120.18749298854261554 57 11.032526158809774941
52 01/27/2026 21:50:34.170 10495 70.501317845308534515 0 10946851.342131813988 0.0013394725274725274335 91.019450856648063564 12.191989527203823229 2351104000 15475.307073121526628 13320481.586915124208 2395.5119208974956564 2456023040 123.46574896336281313 57 14.042833000190446668
53 01/27/2026 21:50:35.170 10501 70.54300186469755829 0 11477459.974901933223 0.0006450450261780104038 190.93964397853838477 12.316214362245668568 2351513600 11372.405182721740857 9044571.0111033897847 2225.2965837498763904 2456023040 131.20583611556349979 57 9.4054941106823441999
54 01/27/2026 21:50:36.170 10483 70.540445570494142657 0 221178.80229814600898 0.00033769999999999996852 4.9998825027611850658 0.16884581262384693034 2351644672 11019.741036085652013 9037578.6169025041163 2124.9500636735037915 2456023040 124.99690007687809157 57 14.0646311971463156
55 01/27/2026 21:50:37.169 10492 70.53700815200269858 0 10640702.010342037305 0.000276337762237762255 429.63302129357396097 11.872376823823810099 2351783936 2687.9604409136418326 536102.89400402549654 2015.9703306852316018 2456023040 114.23075047237074386 57 9.2409943281254740555
56 01/27/2026 21:50:38.171 10499 70.529273983680013771 0 8528471.2360408864915 0.0035371807692307693713 25.948857396956334753 9.1788181166449369641 2351972352 2495.0824420150324841 544185.46486729301978 1873.3078974648863095 2456023040 112.28162347051220138 57 7.9917780205270076976
57 01/27/2026 21:50:39.170 10509 70.476189947332301244 0 9009261.7181815039366 0.00068547040816326532033 98.023476622651116941 6.7189840322345917301 2352095232 2660.6372226148159825 558448.74847525975201 1995.4779169611119869 2456023040 118.7742893421704764 57 4.6672036476565814667
58 01/27/2026 21:50:40.169 10511 70.482466479410049942 0 0 0 0 0 2352148480 2757.217206397946029 579702.91385359375272 2068.9148005856682175 2456023040 118.97510089088557095 57 9.2036309330229890691
59 01/27/2026 21:50:41.169 10518 70.45824145210400502 0 4077146.8798495628871 0.0015635999999999998424 10.993342431823286631 1.718978635097222929 2352271360 2842.2787160095845138 583799.45105244254228 2132.7084317737176207 2456461312 123.36706973988549407 57 17.235065008139827114
60 01/27/2026 21:50:42.169 10523 70.45927484763303994 0 4434737.803733243607 0.00041770862068965519676 57.983915261906339822 2.4220562870081363549 2352390144 2931.1868887570585684 605981.90062076773029 2198.39016656779404 2456461312 118.7179580231295688 57 7.8373746925704761424
61 01/27/2026 21:50:43.169 10519 70.462483812696873997 4 0 0 0 0 2352590848 7213.9232319336333603 4890832.8960500871763 2341.6242770322569413 2456461312 110.96830480141287012 57 15.601570996108515388
62 01/27/2026 21:50:44.170 10523 70.457273319004400491 0 6311018.5268822452053 0.00017956057007125888407 420.66582307015306696 7.5532376106969705276 2352734208 7342.1673822315551661 4809942.9812956592068 2439.0624088224317347 2456461312 109.28439231033550527 57 14.133691756164967757
63 01/27/2026 21:50:45.169 10527 70.461896404265871752 0 6365989.812155360356 0.00019072807486631015322 374.28820191547492868 7.1387539678202998061 2352906240 7601.853427138897132 4920483.7725048288703 2630.0251193418935145 2456461312 125.09679990376554315 57 13.995950066161199743
64 01/27/2026 21:50:46.171 10519 70.459535920633825867 0 8449449.7441951278597 0.0034042045454545453304 21.966498892538986354 7.4777701273005678928 2352979968 7796.1101524065643389 4952449.0199995981529 2782.7560187957346898 2456461312 115.44776459179865924 57 12.631664082228077461
65 01/27/2026 21:50:47.170 10515 70.461504806406210832 0 4098.3930517028893519 0.00060210000000000005269 1.0005842411384007207 0.060245388140994025894 2353098752 8144.7557228665818911 5044815.6678684679791 3037.7737560961845702 2456461312 126.6368865071342924 57 17.141165339657938205
66 01/27/2026 21:50:48.170 10544 70.46187465788375448 0 5179045.8344612037763 0.00023416082949308757426 217.07132963891933741 5.0828458591174765502 2353197056 4557.4975937092931417 921951.95341189112514 3420.1238526979964263 2456461312 134.41614478191775106 57 15.597197716927958311
67 01/27/2026 21:50:49.169 10533 70.457501749148946146 0 7572093.0642005652189 0.00013412629107981220017 426.15111318473532265 5.7159760780091710686 2353258496 13784.888121327821864 9542735.8541338760406 4195.4877199454922447 2456461312 132.86354617444021642 57 23.409858617975231709
68 01/27/2026 21:50:50.169 10524 70.445514323759255149 0 10276717.642242111266 0.00040804894366197185396 284.22251780919282282 11.597713921542077031 2353594368 32421.382700516234763 26776161.0564911291 5874.5992237322598157 2456461312 153.24555828069944141 57 28.068411419263540552
69 01/27/2026 21:50:51.169 10521 70.447124254528219467 0 0 0 0 0 2353774592 16620.970991367750685 6341991.9715952128172 9401.0243068206455064 2456465408 156.18357512549911803 57 28.155555442270397748
70 01/27/2026 21:50:52.158 10514 70.521159090688726678 0 9258209.5270443074405 0.00012994450474898235808 745.01110440567424575 9.6810353437431633239 2354065408 14831.482936010925187 5982249.1248393980786 7851.4263879496220397 2456465408 151.63088110481089643 57 30.5025128269616701
71 01/27/2026 21:50:53.170 10509 70.521322258403827732 0 11016937.085175897926 0.00033535093833780160342 368.84240837282158054 12.447882736800552905 2354348032 3540.0960374656870044 596844.37025844678283 2656.0608817410152369 2456465408 118.97084202036791112 57 8.8405236467310803761
72 01/27/2026 21:50:54.169 10516 70.515502586615156133 0 11693554.042049037293 0.00023336273408239700767 534.16307998832041903 12.464908102389820499 2354810880 11659.559663565285518 9007700.050825515762 2600.7940224150434005 2456465408 115.65597266948088873 57 9.3470789003012981766
73 01/27/2026 21:50:55.168 10514 70.503689225414703401 0 0 0 0 0 2355269632 7745.2284396858858599 4854337.9436598708853 2736.2602540927514383 2456465408 125.15336293093557174 57 18.653588232773486766
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"01/27/2026 21:34:35.092","11289","64.311718606462633829","0","137244.06349974797922","0.00044024999999999999464","2.03071826911322173","0.089392832309097572385","191561728","5216245.0963230598718","5216245.0963230598718","0","171655168","1375.3475584182920102","41","93.657933488871250916"
"01/27/2026 21:34:36.107","11287","64.317473015821875038","0","228091.87423683636007","4.4388372093023252291e-005","42.380870576016157258","0.18812007949002279572","191545344","5800675.6693491786718","5800675.6693491786718","0","171032576","1398.3096493763810031","41","96.920022798730443014"
"01/27/2026 21:34:37.106","11298","64.305344169099200258","0","222316.13456785379094","5.0890909090909087239e-005","33.016059011103003229","0.16803768030356044938","185384960","5994757.8502183463424","5994757.8502183463424","0","163323904","1394.5606581105596433","41","98.436591190459012068"
"01/27/2026 21:34:38.106","11300","64.320507939979549406","0","110638.46815662577865","5.6231818181818185381e-005","22.009243882430620687","0.12376669752413579917","190230528","6724260.1892794976011","6724260.1892794976011","0","174882816","1395.9519856046053974","41","96.873567781400666377"
"01/27/2026 21:34:39.107","11293","64.303940945375686056","0","102226.03173918624816","0.00027953333333333331553","2.9949032736089722384","0.083710325937224244752","189734912","6293502.7170760799199","6293502.7170760799199","0","166821888","1395.9415564969833667","41","96.880577527381035452"
"01/27/2026 21:34:40.106","11310","64.287754652157374835","0","172356.06387129079667","7.9088461538461541614e-005","26.048977287095198108","0.20600658002829169702","181878784","5501967.799857291393","5501967.799857291393","0","162775040","1163.0635802246506501","41","92.173192596065618432"
"01/27/2026 21:34:41.107","11324","64.254435725569365445","0","66479.387095208352548","7.3715384615384620332e-005","12.984255292032882423","0.095714243194280831939","171872256","3338910.2374460734427","3338910.2374460734427","0","148455424","575.86604760203010756","41","68.787748097450943874"
"01/27/2026 21:34:42.102","11197","64.560637079309827868","0","3997103.1871975827962","0.00073616666666666665322","18.090005010931388796","1.3317745878795346215","77455360","20837736.072052892298","69458145.054906174541","6.0300016703104626359","52105216","48.681481850739537265","40","7.3481474453666928426"
"01/27/2026 21:34:43.093","11197","64.562334042173418425","0","3228690.9341432941146","0.00064717857142857144245","14.130044451101264613","0.91442909669887106894","77455360","113.04035560881011691","113.04035560881011691","0","52400128","0","40","0.65215583434123924889"
"01/27/2026 21:34:44.106","11202","64.524903256568336474","0","6249070.275020962581","0.00063857857142857134183","27.631470784703175525","1.7648343127330383684","77455360","0","0","0","52400128","0","40","4.3812015268212327612"
"01/27/2026 21:34:45.106","11194","64.523619661229574263","0","4276239.8220873419195","0.00074496250000000000836","16.0000592002190416","1.1917099999700058177","77455360","0","0","0","52400128","0","40","3.1436932671994322064"
"01/27/2026 21:34:46.106","11212","64.525033781427197255","0","0","0","0","0","77455360","0","0","0","52400128","0","40","0.044140507551859720081"
"01/27/2026 21:34:47.106","11219","64.501787760411815498","0","4198303.7239578142762","0.0028684249999999999678","4.0038144340112822306","1.1482473758198639135","77455360","0","0","0","52400128","0","40","0"
1 (PDH-CSV 4.0) (Mitteleuropäische Zeit)(-60) \\ROADRUNNER\Arbeitsspeicher\Verfügbare MB \\ROADRUNNER\Arbeitsspeicher\Zugesicherte verwendete Bytes (%) \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Aktuelle Warteschlangenlänge \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Bytes geschrieben/s \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Mittlere Sek./Schreibvorgänge \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Schreibvorgänge/s \\ROADRUNNER\Physikalischer Datenträger(0 C:)\Zeit (%) \\ROADRUNNER\Prozess(arnis-windows)\Arbeitsseiten \\ROADRUNNER\Prozess(arnis-windows)\E/A-Bytes gelesen/s \\ROADRUNNER\Prozess(arnis-windows)\E/A-Datenbytes/s \\ROADRUNNER\Prozess(arnis-windows)\E/A-Schreibvorgänge/s \\ROADRUNNER\Prozess(arnis-windows)\Private Bytes \\ROADRUNNER\Prozess(arnis-windows)\Prozessorzeit (%) \\ROADRUNNER\Prozess(arnis-windows)\Threadanzahl \\ROADRUNNER\Prozessorinformationen(0,0)\Prozessorzeit (%)
2 01/27/2026 21:31:33.091 11421 64.050442880031283721 0 31358976 8216576 39
3 01/27/2026 21:31:34.097 11408 64.115242395576842682 0 246727.30288993721479 4.1506060606060607952e-005 33.199051553398710723 0.56725460153538675989 31358976 225.35113781700945879 225.35113781700945879 0 8216576 0 39 8.3468561592205166022
4 01/27/2026 21:31:35.101 11387 64.1610600203650705 0 191824.80681207642192 0.00085968260869565221814 22.91789891891288633 16.690626749736260592 31358976 0 0 0 8216576 0 39 15.925976596382607653
5 01/27/2026 21:31:36.096 11388 64.180194205646444061 0 177491.21235621796222 7.215000000000000547e-005 18.086740389560254982 0.67737982265856211406 31420416 225.07943595897205569 614.94917324504865519 3.0144567315933756824 8216576 1.5700557362250091575 39 10.506823035174473802
6 01/27/2026 21:31:37.107 11380 64.110825970794721229 0 2007210.325699219713 0.0020881878787878788671 65.289416110816318906 16.830145160593072973 35909632 443.17664269160161439 4163470.4529779683799 4.9461678871830541127 9101312 0 39 2.6226761380818586211
7 01/27/2026 21:31:38.099 11384 64.081042344700790636 0 0 0 0 0.27008660793354716256 37519360 505413.64501628652215 510546.31371673452668 6.0479206996637859817 9785344 6.2996018046897663822 44 10.227190600185853242
8 01/27/2026 21:31:39.096 11399 64.048648035165072656 0 1051167.1269679761026 0.0025612999999999998615 1.0024710912399064089 1.5267090626088362093 37535744 449.10704887547808539 449.10704887547808539 0 9785344 0 44 2.8845323906524944491
9 01/27/2026 21:31:40.091 11400 64.019734636885047507 0 1346647.1964355160017 0.00041656249999999999485 8.0433342677006649524 0.33505285238813004023 37588992 337.82003924342791379 563.03339873904656088 2.0108335669251662381 9785344 0 44 7.313773954896507945
10 01/27/2026 21:31:41.097 11403 63.998490144498298093 0 1042045.915068630944 0.0025485999999999998239 0.99377242571700186158 0.67652123119748863722 37588992 222.60502336060841344 222.60502336060841344 0 9785344 0 44 3.7218092488283671671
11 01/27/2026 21:31:42.100 11412 63.961516242465357607 0 236949.53801083788858 0.00042709999999999997316 3.9895867795467050421 0.26616860044348800152 37588992 558.5421491365386828 558.5421491365386828 0 9785344 0 44 1.8269683300157657513
12 01/27/2026 21:31:43.091 11421 63.936007619820536263 0 143113.12005148778553 7.3613333333333335522e-005 30.272687285259429757 0.2228481290605907883 37588992 0 0 0 9785344 0 44 0
13 01/27/2026 21:31:44.105 11422 63.933005315236044908 0 82291.606682091078255 8.2508333333333337602e-005 11.832573813567544008 0.097629614875278436514 37588992 331.3120667798912109 331.3120667798912109 0 9785344 0 44 0
14 01/27/2026 21:31:45.106 11422 63.840934975035700916 0 98184.17603157107078 6.2114999999999997364e-005 19.975621751214816868 0.12407633146348247266 37588992 0 0 0 9785344 0 44 0.12369680151133044532
15 01/27/2026 21:31:46.107 11450 63.83411452729117741 0 36814.910997675695398 0.0002331333333333333261 2.9960051267639729033 0.069862655054589065107 37588992 0 0 0 9785344 0 44 1.671359637745051252
16 01/27/2026 21:31:47.107 11449 63.839118360504301108 0 106591.7407014980854 9.9259999999999994937e-005 10.008990074885261379 0.099326658120264504914 37588992 0 0 0 9785344 0 44 3.0557818282253568221
17 01/27/2026 21:31:48.107 11449 63.84364356376315186 0 90035.649768995892373 0.0002737999999999999874 2.9974581554841495112 0.082071404719935084349 37564416 0 0 0 9728000 0 43 1.6489210930355491236
18 01/27/2026 21:31:49.100 11449 63.901600885182062939 0 41257.088166175810329 0.00010826249999999999556 8.058025032456214376 0.087241190009720331888 38756352 225.62470090877397411 338.43705136316094695 1.007253129057026797 10551296 0 43 5.5667756216224333343
19 01/27/2026 21:31:50.091 11434 63.934506467528294138 0 24816.266125372632814 0.00033240000000000000232 2.0195529073382676444 0.067127112073095851486 48848896 0 0 0 21000192 1.5777092751836985229 43 5.3374434889780992819
20 01/27/2026 21:31:51.105 11431 63.957654583258005232 0 0 0 0 0 60133376 0 0 0 32718848 1.5396153119644908625 43 3.0042353462370718908
21 01/27/2026 21:31:52.108 11416 63.982249462041593802 0 0 0 0 0 71974912 0 0 0 45096960 1.5586280561828305125 43 3.3614648317033091196
22 01/27/2026 21:31:53.104 11401 64.011695879514263652 0 4110.6495328050104945 0.0006143999999999999722 1.0035765460949732653 0.061661531383802592465 84168704 0 0 0 57466880 9.4088030065616745645 43 7.483567074376241024
23 01/27/2026 21:31:54.106 11395 64.010912683794956024 0 0 0 0 0 96387072 0 0 0 70115328 1.5603024700012502191 43 4.8215493299237355274
24 01/27/2026 21:31:55.103 11392 64.015992652628568749 0 0 0 0 0 107159552 0 0 0 81117184 3.1336630113950012522 43 1.2896151410574541174
25 01/27/2026 21:31:56.107 11375 64.044296872812395804 0 191652.22893577121431 0.00015568333333333334088 11.946407222558878658 0.18598557571455665016 118534144 0 0 0 93200384 1.5555211543410489838 43 3.5576884308549661107
26 01/27/2026 21:31:57.105 11371 64.0751465372916158 0 0 0 0 0.067868783809043237154 130277376 0 0 0 105025536 0 43 5.9884976049378924046
27 01/27/2026 21:31:58.107 11358 64.108791822592920084 0 110285.84649014337629 0.00029033333333333336121 2.9916950545286287166 0.08685816082282102335 142499840 0 0 0 117673984 1.5581616106275297806 43 4.9521417517206849368
28 01/27/2026 21:31:59.106 11360 64.091822333655272814 0 41028.903941278986167 0.0001168571428571428593 7.0117755759021704876 0.081937663468393248656 153161728 0 0 0 128679936 3.1302591483952189044 43 1.3968368255506069531
29 01/27/2026 21:32:00.108 11346 64.119256326025180215 0 0 0 0 0 164245504 0 0 0 139956224 1.5596997151314528907 43 4.8583173769813692289
30 01/27/2026 21:32:01.106 11394 64.137433274681072248 0 45141.516088077252789 0.00024409999999999999732 3.0056939866883825019 0.199841617552878964 156962816 0 0 0 145809408 10.958426210691937897 43 2.9396535624428454803
31 01/27/2026 21:32:02.108 11186 64.600689421547741631 0 8176.7519928836700274 0.00032000000000000002618 1.9962773420126147528 0.063877527616301263413 317206528 670.74918691623850009 1006.123780374357807 2.9944160130189221292 297693184 99.808636900470730779 42 17.343406865969413388
32 01/27/2026 21:32:03.106 10722 66.327606855502267535 0 270664.88490164402174 8.4250000000000001429e-005 26.031631034870471808 0.21932538495334744089 808951808 2177724.15261784615 2177836.2888746117242 1.0012165782642488132 949456896 111.07696824132379732 51 6.1350623838890676609
33 01/27/2026 21:32:04.105 10609 66.283246866958961618 0 0 0 0 0 920911872 0 0 0 934006784 100.16787133557127731 51 6.0926206229019230776
34 01/27/2026 21:32:05.108 10745 65.813529250634260848 0 48981.314812273667485 0.00010804999999999999718 7.9722192077268339006 0.30873040922774841466 789962752 0 0 0 771710976 99.661181879962697394 51 1.8960240869117295226
35 01/27/2026 21:32:06.106 10746 65.810972933147795061 0 0 0 0 0 789962752 0 0 0 771710976 100.21529251290547791 51 6.0481632691511189037
36 01/27/2026 21:32:07.107 10751 65.770594255479650769 0 4091.6109289565088147 0.00062169999999999998701 0.99892844945227265985 0.062102072752822964907 789962752 0 0 0 771710976 99.890739509124912843 51 3.2308461005352340223
37 01/27/2026 21:32:08.108 10763 65.72810527070613773 0 118684.13916530630377 0.00029340000000000003013 2.9974779220763645426 0.087946063744210239976 789950464 0 0 0 771670016 99.916000618280207846 50 3.2049140229826300619
38 01/27/2026 21:32:09.109 10763 65.708198762896515177 0 0 0 0 0 789950464 0 0 0 771670016 99.936770005617447055 50 0.064738062682989649943
39 01/27/2026 21:32:10.105 10764 65.707176240558538893 0 0 0 0 0 789950464 0 0 0 771670016 100.34158281622298148 50 2.794091646783980476
40 01/27/2026 21:32:11.107 10764 65.708655623185592276 0 130780.49028714993619 0.00085130000000000003845 0.99777595739097546534 0.084942870855505323013 789950464 0 0 0 771670016 99.780184254088240436 50 0.21981574591175556677
41 01/27/2026 21:32:12.107 10737 65.755332602596681113 0 1213328.4229740765877 0.0013396499999999999554 44.033112900901478781 17.437400217985516093 789950464 0 0 0 771670016 100.07598769745868594 50 10.869823456950866714
42 01/27/2026 21:32:13.107 10751 65.702716299729118532 0 67073.428664030550863 6.7353333333333337859e-005 15.00031950680549464 0.33861335227218747335 789950464 0 0 0 771670016 100.0009900098011002 50 3.1240409280051895102
43 01/27/2026 21:32:14.107 10751 65.704435008974854782 0 49141.179112359459396 9.6600000000000003464e-005 8.9980186362962868429 0.086918548502229645014 789950464 0 0 0 771670016 99.975326089521104223 50 3.1489028507764249554
44 01/27/2026 21:32:15.107 10755 65.701291306340436904 0 350660.98375643382315 8.6031034482758625219e-005 28.995120121283591175 0.24944285530034823739 789950464 0 0 0 771670016 99.98110357142499538 50 3.1401101428177202735
45 01/27/2026 21:32:16.107 10757 65.689967425002237178 0 0 0 0 0.041078963429820383735 789950464 0 0 0 771670016 100.02182476216310647 50 1.5442659980628437033
46 01/27/2026 21:32:17.107 10995 65.110350624916691231 0 45057.198521480670024 8.7830000000000004422e-005 10.000266007075788721 0.087829200754273140106 668336128 1120.0297927924882515 1680.0446891887324909 5.0001330035378943606 673898496 634.36922724003204621 41 45.309705325942154275
47 01/27/2026 21:32:18.100 10835 65.573639414639600886 0 137164.45483544687158 9.0741666666666672292e-005 12.085683872954081863 0.10967126519184715316 833945600 676.79829688542861277 1015.1974453281428623 3.0214209682385204658 854089728 122.74943011531244963 41 10.303931822427713882
48 01/27/2026 21:32:19.095 10618 66.200988359330452226 0 0 0 0 0 1061310464 1125.0692244043989376 1687.6038366065981791 5.0226304660910665589 1091837952 98.884596816044052048 41 8.9633870582451535824
49 01/27/2026 21:32:20.114 10380 66.903318503616219459 0 0 0 0 0 1317523456 1319.6504693645204043 1979.4757040467807201 5.8912967382344660905 1360404480 101.25514155198776223 41 11.01820893916227817
50 01/27/2026 21:32:21.099 10134 67.621127881021507733 0 0 0 0 0 1574141952 1137.0409463673013306 1705.5614195509522233 5.0760756534254527494 1630420992 99.933565434696674856 41 7.9955590154301425798
51 01/27/2026 21:32:22.094 9912 68.278478008759776685 0 0 0 0 0 1805234176 899.70986365178180222 1349.5647954776725328 4.0165618913025973313 1878568960 98.84850218724434967 41 2.7227293024845611313
52 01/27/2026 21:32:23.114 9696 68.911287646952843033 0 27614.554556935945584 0.0003468999999999999753 1.961260977055109711 0.068035062474485624717 2037628928 658.98368829051685225 988.47553243577522153 2.9418914655826644555 2132140032 101.12591262152392346 41 5.0029305676593356367
53 01/27/2026 21:32:24.088 9446 69.665766337342972747 0 0 0 0 0 2302824448 919.80954604216526604 1379.7143190632477854 4.1062926162596662394 2415419392 99.44998894886057883 41 5.3621072906004147995
54 01/27/2026 21:32:25.093 9178 70.44045612459080985 0 0 0 0 0.19130000251946385759 2582384640 1115.342108287370138 1673.013162431055207 4.9792058405686168143 2711367680 99.583551545790655268 41 8.1964134187242354557
55 01/27/2026 21:32:26.100 8998 71.104953012220789788 0 131060.24399771049502 0.00045479999999999999594 1.9843181322327776428 0.090251158376991283405 2766368768 4889.3598778215646234 7334.0398167323464804 21.827499454560555847 2954424320 100.77103422013166778 41 10.076725266708708162
56 01/27/2026 21:32:27.096 8926 71.423402864351729136 0 0 0 0 0 2841747456 1799.7208022416166386 2699.5812033624247306 8.0344678671500737721 3075321856 98.868805276136612292 41 12.121074862700476515
57 01/27/2026 21:32:28.090 8895 71.586299075648724966 0 115415.51012653157522 0.00028796666666666665508 3.0190301546769906516 0.086928697136152741076 2877227008 3606.7346914541117258 5410.1020371811673613 16.101494158277283475 3133210624 102.19580741857289752 41 10.38213810986684571
58 01/27/2026 21:32:29.107 8769 72.043594175959839276 0 0 0 0 0.077168620664255921371 2935410688 2863.6250680873081365 4295.4376021309617499 12.784040482532624594 3225677824 99.878144975321674792 41 13.951136636645944833
59 01/27/2026 21:32:30.105 8466 73.232774593223069814 0 354789.38736084837001 9.315000000000000092e-005 18.024659536712174912 0.16788561549598146616 3104595968 0 0 0 3503640576 100.12859515475724947 41 24.900485633512971617
60 01/27/2026 21:32:31.107 8442 73.331458697405508929 0 3272347.3170057502575 0.0031957500000000002398 5.9918468939314273314 2.832207999519033681 3167928320 12303.258955539198723 18454.888433308795356 54.925263194371417796 3563728896 99.868403404833443915 41 15.739467932813278495
61 01/27/2026 21:32:32.111 8403 73.396954399858827855 0 136061.19250214289059 0.00013690769230769231617 12.938871595036410156 0.17714236461468302331 3206610944 445.89342112125478934 668.84013168188209875 1.9905956300056015795 3600154624 99.529365442568277444 41 20.687536912953408574
62 01/27/2026 21:32:33.103 8341 73.596617829426335788 0 4329182.2302357004955 0.00056137187500000004358 32.272649020721765112 1.811733754338871405 3273838592 1129.5427157252615871 1694.314073587892608 5.0426014094877755767 3668025344 100.8541438295064836 41 13.328470146517879868
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111 01/27/2026 21:33:22.107 8251 73.429359605868654626 0 8700328.4613892938942 0.00017130979729729729831 591.75028138125719579 10.137241809472783416 3385688064 729794.02692063956056 5961963.0515922289342 4010.3076501716277562 3705442304 142.12723805106634245 41 28.155462084076354756
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120 01/27/2026 21:33:31.104 8221 73.489525139678619325 0 520647.93139352131402 0.0015659999999999999008 1.0008764675226096141 0.22650505462963238523 3385688064 721552.8638428671984 1803442.2743996919598 3857.3779058321374578 3705442304 142.30376217369590108 41 35.885118141521623158
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126 01/27/2026 21:33:37.106 8222 73.551572550449421328 0 10880158.344429560006 0.00024239960629921259859 508.43807024131990602 12.324839527564666497 3385688064 734023.43459124385845 14523976.85846124962 3963.4148782591082636 3705442304 139.18604153046243255 41 26.500260420524103466
127 01/27/2026 21:33:38.105 8224 73.519722133297406685 5 8451719.1047615930438 0.00062652171428571423566 175.09826514640016626 10.970321649539000575 3385692160 741334.03666137438267 10391676.809025226161 3914.1966471583855309 3705446400 146.95794306306478916 41 37.464705079546902766
128 01/27/2026 21:33:39.105 8220 73.516567534188865807 0 4030029.9657726860605 0.00025596335078534033884 190.97943151522579797 4.888216627315500773 3385692160 733551.99644998228177 14514916.743466727436 3852.5850765872514785 3705446400 149.97903293119620116 41 26.570584578637891582
129 01/27/2026 21:33:40.108 8213 73.585391876656885302 0 6151092.1357134478167 0.0027918600000000001748 14.957484845076354674 4.1760773558400750005 3385696256 736286.18016150896437 14440259.007796239108 3855.0424274043457444 3705450496 158.92925112935751031 41 36.118565537839543822
130 01/27/2026 21:33:41.107 8216 73.565452725991008265 0 12020973.212743533775 0.00024568720472440948397 508.65998633226610082 12.496513146314487841 3385696256 719472.51558897667564 1785323.4571856984403 3841.9849755057184666 3705450496 129.84963024832805445 41 24.903568672532394146
131 01/27/2026 21:33:42.105 8212 73.567225824475116269 0 0 0 0 0 3385696256 721148.07909403520171 1813855.5360864156391 3858.196738971945706 3705450496 153.45643520876387811 41 35.801122324153197951
132 01/27/2026 21:33:43.107 8218 73.564702149844890755 0 10972726.702423078939 0.00029280302267002515388 395.94887452280437401 11.593609107107148759 3385700352 709270.10066376801115 5995612.4476352632046 3934.5549370087233001 3705450496 135.57882621524757383 41 25.197888984690997916
133 01/27/2026 21:33:44.107 8224 73.565931355945281211 0 9133774.5164243169129 0.00094089052631578945236 95.039441368167800306 9.0105913566662430014 3385700352 617594.30163517862093 1614698.0997113802005 4144.7200588244122628 3705450496 134.42902702596174436 41 26.532973602090681453
134 01/27/2026 21:33:45.107 8200 73.638290975624300927 0 10729922.999066483229 0.00028707616580310880549 386.0899203424477264 11.08386663119127391 3385704448 571407.08070909709204 5779685.0886571481824 4237.9870271786294325 3705454592 142.22248673173601219 41 20.292892051444656687
135 01/27/2026 21:33:46.105 8224 73.616372065994966079 0 0 0 0 0 3385716736 573215.56904937978834 1658937.5175761110149 4252.3172424954509552 3705454592 136.14145351150560259 41 35.841383977336448652
136 01/27/2026 21:33:47.100 8219 73.611487907732723102 0 10567858.764713684097 0.00022798756756756759462 557.60289029188254517 12.712150732093640215 3385729024 652757.07000277296174 10257358.348772067577 4138.3176668689438884 3705454592 147.55800172257326608 41 32.498645703060958567
137 01/27/2026 21:33:48.092 8225 73.598140751383766656 0 10416436.922348136082 0.00053727163461538462921 209.82137543157131176 11.273366619032083591 3385729024 657724.44279815373011 14571439.840681016445 4128.8408155837569211 3705454592 154.4694090547672829 41 35.376405641986551132
138 01/27/2026 21:33:49.102 8233 73.600599140301483203 0 8585736.9486130997539 0.00012545989085948158108 725.7728986300219276 9.1054892786698289342 3385733120 666377.34764759475365 6036450.2358415368944 4158.5895965158151739 3705454592 139.2377326978119072 41 21.098618137906598236
139 01/27/2026 21:33:50.093 8216 73.667139111474881474 0 70274.413551480858587 0.00035722500000000002298 4.0369033519922368214 0.14421213687083178634 3385733120 677187.50961918383837 18850930.78375973925 4141.8628391440352061 3705454592 138.77226411742859113 41 25.882995300918821613
140 01/27/2026 21:33:51.105 8210 73.68666491789898032 0 11381638.169149212539 0.00027894565701559021452 443.37078713817879816 12.367556170718973618 3385733120 750391.72648387018126 10396393.232957083732 3956.7633498055288328 3705454592 152.74716799961765901 41 39.82687321227182764
141 01/27/2026 21:33:52.107 8207 73.679006885196784538 0 10729973.141882600263 0.0022963686274509805159 50.914916083732471463 11.691369675021995533 3385733120 750007.66219570476096 6345048.788968754001 3986.3384298498776843 3705454592 163.78078067915379279 41 29.804915318147340741
142 01/27/2026 21:33:53.108 8209 73.67556946670534046 0 9400419.4161849729717 0.00019082725563909774813 531.31110202511422358 10.232128342861274817 3385733120 745139.85166832676623 2144435.5248984163627 3979.8397397933836146 3705454592 156.05795508047796716 41 36.019267376293093719
143 01/27/2026 21:33:54.099 8194 73.681497916970755568 0 4135.833035127923722 5.3699999999999997464e-005 1.0097248620917782524 0.10077925455864321369 3385733120 688259.76747248088941 1997763.8633204114158 4110.5899135756289979 3705454592 156.18966976796033919 41 33.737715856016826876
144 01/27/2026 21:33:55.103 8203 73.6523669617372434 0 10136598.536697486416 0.00038810072463768113251 274.8621805175296231 10.667320221668276758 3385733120 660006.83570292417426 1939341.9002696436364 4102.0192809844365911 3705454592 149.38020658485874037 41 34.646159619124297535
145 01/27/2026 21:33:56.107 8216 73.629458149343136597 0 10761314.931790962815 0.00022894880382775121869 624.4506800984978554 14.29654706940549147 3385733120 677473.2155973239569 6065321.3256878796965 4203.8378320506535601 3705454592 143.16375872439945738 41 26.861992825578539623
146 01/27/2026 21:33:57.107 8215 73.613837518173696139 0 0 0 0 0 3385733120 714222.99420466448646 6205074.3488698359579 4169.3852511972108914 3705454592 146.89114333665270351 41 26.553965570799331175
147 01/27/2026 21:33:58.106 8222 73.608757549340083415 0 10223832.412511598319 0.00042215743944636676408 289.12195163920142704 12.205545900890008681 3385733120 764705.5528021720238 10465172.209638025612 4024.6976174550427459 3705454592 159.44287483181588527 41 37.47377650186488296
148 01/27/2026 21:33:59.105 8234 73.567497770666960832 0 9021694.9377210512757 0.0006260585937499999875 128.1490758199012987 8.0228862327090038065 3385733120 767464.79179229191504 10492934.430623143911 4056.7191814237503422 3705454592 140.78883596841643566 41 34.298543214738998586
149 01/27/2026 21:34:00.096 8239 73.566290310948687647 0 11044346.263615325093 0.00024998416833667334684 503.55180619693658173 12.588079247254817972 3385733120 748821.90068908897229 10504691.104772480205 3953.739432223642325 3705454592 141.90867751506576155 41 41.659765910472955852
150 01/27/2026 21:34:01.090 8240 73.569890897155246989 0 65902.006564055453055 0.00016630000000000000359 1.0055848169564125527 0.016722091904536665746 3385733120 749552.86671114037745 10523279.187954060733 3970.0488573439170068 3705454592 142.97489132148569979 41 21.438630875196274417
151 01/27/2026 21:34:02.106 8250 73.557424841811283045 0 11411477.928586313501 0.00019542072829131651858 702.90029064041004858 13.736588454742094001 3385733120 739061.26189503690694 14382987.922814458609 4016.5730893737718361 3705454592 149.21133227395952758 41 27.705092101374617641
152 01/27/2026 21:34:03.106 8241 73.566127143233586594 0 12637936.849253848195 0.00033720262529832932498 419.19479982347797886 14.13523283912807571 3385733120 669927.31522338429932 6016259.7559085702524 4154.9307963410592492 3705454592 150.06840117725658956 41 23.402586899108612783
153 01/27/2026 21:34:04.106 8247 73.557664168429951701 0 10124307.373945007101 0.00014211002747252746039 727.63341828386865018 10.340544167412383914 3385733120 663300.82904232852161 1769759.3952166899107 4158.9047437900790101 3705454592 134.30920192197842766 41 20.351519790454652536
154 01/27/2026 21:34:05.109 8246 73.528554959578571015 0 0 0 0 0 3385733120 677176.73285492823925 10163742.965447761118 4202.3237293807278547 3705454592 144.97535980078328066 41 26.732882681324575458
155 01/27/2026 21:34:06.108 8252 73.503144242219434545 0 9980735.6300343964249 0.00032271467181467180553 259.28762776548023794 8.3676231645821808058 3385733120 754796.29553063213825 1903505.5587162838783 4024.4643382904655482 3705454592 142.34593102122664732 41 24.916431988803534381
156 01/27/2026 21:34:07.107 8261 73.483781626793515329 0 6305711.3344156285748 0.00014825326370757180273 383.05730537288377491 5.6789989855394109597 3385733120 751303.3949878901476 1899300.1353002409451 4021.6016316040877427 3705454592 142.21001184487505498 41 20.299883471553549441
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158 01/27/2026 21:34:09.107 8262 73.483640205460517336 0 229323.55370326802949 0.00016939999999999999763 2.9993140568751925912 0.050809990431884922979 3385733120 755010.32913772610482 6098625.2444066032767 3997.085866462339709 3705454592 143.72168682769495263 41 32.825733330533878984
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161 01/27/2026 21:34:12.107 8259 73.544175590748011473 0 0 0 0 0 3385733120 761776.8694205355132 1847257.6632643265184 4064.6097974594435982 3705454592 139.05621465909740664 41 25.003389846778922845
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# Parallel Region Processing Architecture
## Executive Summary
This document outlines a comprehensive plan to parallelize the Arnis world generation pipeline by splitting large user-selected areas into smaller processing units (**1 Minecraft region = 512×512 blocks per unit**). The goal is to:
1. **Reduce memory usage by ~90%** by processing and flushing regions incrementally
2. **Utilize multiple CPU cores** for parallel generation
3. **Maintain visual consistency** across region boundaries (colors, elevation, etc.)
---
## Current Architecture Analysis
### Processing Pipeline Overview
```
┌─────────────────────────────────────────────────────────────────────────────┐
│ CURRENT PROCESSING FLOW │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ [1/7] Fetch Data (retrieve_data.rs) │
│ └── Downloads OSM data for entire bbox from Overpass API │
│ └── Single HTTP request with full bounding box │
│ │
│ [2/7] Parse Data (osm_parser.rs) │
│ └── Transforms lat/lon → Minecraft X/Z coordinates │
│ └── Clips ways/relations to bounding box (clipping.rs) │
│ └── Sorts elements by priority │
│ │
│ [3/7] Fetch Elevation (ground.rs / elevation_data.rs) │
│ └── Downloads Terrarium tiles for entire bbox │
│ └── Builds height grid matching world dimensions │
│ │
│ [4/7] Process Data (data_processing.rs) │
│ └── Pre-computes flood fills in parallel (floodfill_cache.rs) │
│ └── Builds highway connectivity map │
│ └── Collects building footprints │
│ │
│ [5/7] Process Terrain + Elements (data_processing.rs) │
│ └── Iterates ALL elements sequentially │
│ └── Calls element_processing/* for each element type │
│ └── Places blocks via WorldEditor │
│ │
│ [6/7] Generate Ground (data_processing.rs) │
│ └── Iterates ALL blocks in bbox │
│ └── Sets grass, dirt, stone, bedrock layers │
│ │
│ [7/7] Save World (world_editor/mod.rs → java.rs) │
│ └── Iterates ALL regions in memory │
│ └── Writes .mca files in parallel │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
```
### Key Data Structures and Memory Usage
#### WorldToModify (world_editor/common.rs)
```rust
pub struct WorldToModify {
pub regions: FnvHashMap<(i32, i32), RegionToModify>, // Key: (region_x, region_z)
}
pub struct RegionToModify {
pub chunks: FnvHashMap<(i32, i32), ChunkToModify>, // 32×32 chunks per region
}
pub struct ChunkToModify {
pub sections: FnvHashMap<i8, SectionToModify>, // 24 sections per chunk (-4 to 19)
}
pub struct SectionToModify {
pub blocks: [Block; 4096], // 16×16×16 = 4096 blocks
pub properties: FnvHashMap<usize, Value>, // Block properties (stairs, slabs, etc.)
}
```
**Memory estimate per region:**
- Section: ~4KB (blocks) + ~variable (properties)
- Chunk: ~24 sections × 4KB = ~96KB minimum, typically ~200-500KB with properties
- Region: ~1024 chunks × 300KB = **~300MB per region**
- **For a 10×10 region area: ~30GB of memory required!**
#### Why Elements Are "Scattered"
The current design processes elements in OSM priority order (entrance → building → highway → waterway → water → barrier → other), NOT by spatial location. This means:
1. A building in region (0,0) might be followed by a highway in region (5,5)
2. Each `set_block()` call potentially accesses different regions
3. ALL regions must remain in memory until the end because any element might touch any region
---
## Proposed Architecture: Region-Based Parallel Processing
### Core Concept
Split the user-selected area into **processing units** of **1 Minecraft region each** (512×512 blocks = 32×32 chunks). Process each unit independently in parallel, then flush to disk immediately.
```
┌─────────────────────────────────────────────────────────────────────────────┐
│ PROPOSED PARALLEL PROCESSING FLOW │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ GLOBAL PHASE (Run Once for Entire Area) │
│ ═══════════════════════════════════════ │
│ │
│ [1] Fetch Elevation Data for ENTIRE bbox │
│ └── Must be consistent across all units │
│ └── Store as shared read-only Arc<Ground> │
│ │
│ [2] Compute Processing Unit Grid │
│ └── Divide bbox into N×N region units │
│ └── Create sub-bboxes with small overlap for boundary elements │
│ │
│ PARALLEL PHASE (Per Processing Unit) │
│ ═════════════════════════════════════ │
│ │
│ For each processing unit (in parallel, using N-1 CPU cores): │
│ │
│ [3] Fetch OSM Data for Unit's Sub-BBox │
│ └── Separate Overpass API query per unit │
│ └── Include small buffer zone for boundary elements │
│ │
│ [4] Parse & Clip Elements to Unit Bounds │
│ └── Same as current, but for smaller area │
│ │
│ [5] Pre-compute Flood Fills │
│ └── Only for elements in this unit │
│ │
│ [6] Process Elements │
│ └── Generate buildings, roads, etc. │
│ └── Use deterministic RNG keyed by element ID │
│ │
│ [7] Generate Ground Layer │
│ └── Only for this unit's blocks │
│ │
│ [8] Save Regions to Disk │
│ └── Write .mca files immediately │
│ └── FREE MEMORY for this unit │
│ │
│ FINALIZATION PHASE │
│ ══════════════════ │
│ │
│ [9] Wait for all units to complete │
│ [10] Generate map preview (optional) │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
```
---
## Critical Considerations
### 1. Deterministic Randomness ✅ ALREADY IMPLEMENTED
The codebase already has `deterministic_rng.rs` which provides:
```rust
// Creates RNG seeded by element ID - same element always produces same random values
pub fn element_rng(element_id: u64) -> ChaCha8Rng {
ChaCha8Rng::seed_from_u64(element_id)
}
// For coordinate-based randomness
pub fn coord_rng(x: i32, z: i32, element_id: u64) -> ChaCha8Rng
```
**Impact on buildings crossing boundaries:**
- Building colors are chosen using `element_rng(element.id)` in buildings.rs
- Even if a building is processed in two different units, SAME element ID → SAME color
- The existing implementation already supports this use case!
**Files using deterministic RNG:**
- `element_processing/buildings.rs` - wall colors, window styles, accent blocks
- `element_processing/natural.rs` - grass/flower distribution
- `element_processing/tree.rs` - tree variations
### 2. Elevation Data Consistency ⚠️ REQUIRES CHANGES
**Current behavior:**
- Elevation is fetched once in `ground.rs``Ground::new_enabled()`
- Height grid dimensions match the world's XZ dimensions
- Lookup uses relative coordinates: `ground.level(XZPoint::new(x - min_x, z - min_z))`
**Problem:**
- If each unit downloads its own elevation tiles, slight differences in tile boundaries or interpolation could cause height discontinuities at unit boundaries
**Solution:**
1. **Download elevation ONCE for the entire area** before parallel processing starts
2. Pass `Arc<Ground>` (read-only) to all processing units
3. The `Ground::level()` function already uses world-relative coordinates, so no changes needed
```rust
// Proposed: Global elevation fetch before parallel processing
let global_ground = Arc::new(Ground::new_enabled(&args.bbox, args.scale, args.ground_level));
// Each processing unit receives a clone of the Arc
for unit in processing_units {
let ground_ref = Arc::clone(&global_ground);
// spawn task with ground_ref
}
```
### 3. Element Clipping ⚠️ REQUIRES NEW LOGIC
**Current clipping (clipping.rs):**
- Uses Sutherland-Hodgman algorithm to clip polygons to user's bbox
- Works on the OUTER boundary of the entire selected area
**New requirement:**
- Need to clip elements to each processing unit's internal boundary
- But with OVERLAP to handle elements that straddle unit boundaries
**Proposed approach:**
```
┌─────────────────────────────────────────────────────────────────┐
│ UNIT BOUNDARY HANDLING │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Example: 4 processing units arranged in a 2×2 grid │
│ │
│ Unit A │ Unit B │
│ (regions 0,0-1,1) │ (regions 2,0-3,1) │
│ │ │
│ ┌──────────────────┼──────────────────┐ │
│ │ │ │ │
│ │ ████████ │ │ ← Building straddles │
│ │ █ BLD █─────┼──────────────────│ Unit A and B │
│ │ ████████ │ │ │
│ │ │ │ │
│ ├──────────────────┼──────────────────┤ │
│ │ │ │ │
│ │ │ │ │
│ │ │ │ │
│ │ │ │ │
│ └──────────────────┴──────────────────┘ │
│ Unit C │ Unit D │
│ (regions 0,2-1,3) │ (regions 2,2-3,3) │
│ │
└─────────────────────────────────────────────────────────────────┘
```
**Strategy for boundary elements:**
1. **Expanded Fetch BBox**: Each unit fetches OSM data with a buffer zone (e.g., +256 blocks)
2. **Clip to Processing BBox**: Clip elements to the unit's actual processing bounds
3. **Process Normally**: Elements partially in the unit are still processed, just clipped
4. **Deterministic Results**: Same element in adjacent units produces identical blocks due to RNG seeding
**Example: Building straddling Unit A and B**
| Step | Unit A | Unit B |
|------|--------|--------|
| Fetch | Gets building (with buffer) | Gets building (with buffer) |
| Clip | Clips to Unit A bounds → left half | Clips to Unit B bounds → right half |
| Color | `element_rng(building_id)` → BLUE | `element_rng(building_id)` → BLUE |
| Place | Places left half in blue | Places right half in blue |
| **Result** | **Seamless blue building across boundary** |
### 4. OSM Data Downloading Strategy ⚠️ REQUIRES CAREFUL DESIGN
**Options:**
#### Option A: Download Once, Distribute Elements (RECOMMENDED)
```
┌─────────────────────────────────────────────────────────────────┐
│ │
│ [1] Download ALL OSM data for entire bbox (single API call) │
│ [2] Parse into ProcessedElements │
│ [3] For each processing unit: │
│ └── Filter elements that intersect unit's bbox │
│ └── Clip filtered elements to unit bounds │
│ └── Send to parallel processor │
│ │
└─────────────────────────────────────────────────────────────────┘
```
**Pros:**
- Single Overpass API call (respects rate limits)
- No duplicate data transfer
- Elements are already parsed, just need filtering
**Cons:**
- Must keep all elements in memory during distribution phase
- For very large areas, this might still be memory-intensive
#### Option B: Download Per Unit (Simpler, Higher Bandwidth)
```
┌─────────────────────────────────────────────────────────────────┐
│ │
│ For each processing unit (sequentially or with rate limiting): │
│ [1] Download OSM data for unit's expanded bbox │
│ [2] Parse into ProcessedElements │
│ [3] Send to parallel processor │
│ │
└─────────────────────────────────────────────────────────────────┘
```
**Pros:**
- Lower peak memory usage
- Simpler code structure
**Cons:**
- Multiple API calls (may hit rate limits)
- Duplicate data transfer for overlapping areas
- Slower due to network latency
#### Recommendation: Option A with Streaming
Download once, but use a streaming approach to distribute elements to units:
```rust
// Pseudo-code for element distribution
fn distribute_elements_to_units(
elements: Vec<ProcessedElement>,
units: &[ProcessingUnit],
) -> Vec<Vec<ProcessedElement>> {
let mut unit_elements = vec![Vec::new(); units.len()];
for element in elements {
let element_bbox = compute_element_bbox(&element);
for (i, unit) in units.iter().enumerate() {
if unit.expanded_bbox.intersects(&element_bbox) {
// Clone element for each unit that needs it
// (or use Arc for large elements)
unit_elements[i].push(element.clone());
}
}
}
unit_elements
}
```
### 5. Flood Fill Cache ⚠️ REQUIRES CHANGES
**Current behavior:**
- `FloodFillCache::precompute()` runs in parallel for ALL elements
- Results are stored in a `FnvHashMap<u64, Vec<(i32, i32)>>`
- Cache is consumed during sequential element processing
**Problem:**
- If we process units in parallel, each unit needs its own flood fill cache
- But we don't want to re-compute the same flood fills multiple times
**Solution A: Per-Unit Flood Fill (Simpler)**
```rust
// Each unit computes flood fills only for its elements
fn process_unit(unit_elements: Vec<ProcessedElement>) {
let flood_fill_cache = FloodFillCache::precompute(&unit_elements, timeout);
// Process elements using this cache
}
```
**Pros:** Simple, no coordination needed
**Cons:** Elements at boundaries may be flood-filled twice
**Solution B: Global Flood Fill + Distribution (More Complex)**
```rust
// Compute flood fills globally, then distribute to units
let global_cache = FloodFillCache::precompute(&all_elements, timeout);
// For each unit, create a view into the global cache
let unit_caches: Vec<_> = units.iter()
.map(|unit| global_cache.filter_for_bbox(&unit.bbox))
.collect();
```
**Recommendation:** Start with Solution A. The overhead of re-computing some flood fills at boundaries is acceptable given the simplicity.
### 6. Building Footprints Bitmap ⚠️ REQUIRES CHANGES
**Current behavior:**
- `BuildingFootprintBitmap` is a memory-efficient bitmap covering the entire world
- Used to prevent trees from spawning inside buildings
- Created AFTER flood fill precomputation
**Problem:**
- With parallel processing, each unit only knows about buildings in its own area
- A tree in Unit B might spawn inside a building that exists in Unit A (near boundary)
**Solution:**
- Compute building footprints GLOBALLY before parallel processing
- Use `Arc<BuildingFootprintBitmap>` shared across all units (read-only)
```rust
// Global building footprint computation
let all_building_coords = compute_all_building_footprints(&all_elements, &global_xzbbox);
let global_footprints = Arc::new(BuildingFootprintBitmap::from(all_building_coords));
// Each unit receives Arc clone
for unit in units {
let footprints = Arc::clone(&global_footprints);
// spawn task
}
```
### 7. Highway Connectivity ⚠️ REQUIRES CHANGES
**Current behavior:**
- `highways::build_highway_connectivity_map()` creates a map of connected highway segments
- Used for intersection detection and road marking placement
**Problem:**
- Highway segments crossing unit boundaries won't see their full connectivity
**Solution:**
- Build highway connectivity map GLOBALLY before parallel processing
- Pass as `Arc<HighwayConnectivityMap>` to all units
### 8. Water Areas and Ring Merging ✅ ALREADY SUPPORTED
**Current behavior:**
- Water relations contain multiple ways that must be merged into closed rings
- `merge_way_segments()` in water_areas.rs handles this
- **Clipping happens AFTER ring merging** via `clip_water_ring_to_bbox()`
- Water uses `inverse_floodfill()` which iterates over bounding box (not flood fill)
**Why water CAN be clipped per-unit:**
1. Ring merging happens on the UNCLIPPED ways (preserved in osm_parser.rs)
2. After merging, `clip_water_ring_to_bbox()` clips the assembled polygon
3. The `inverse_floodfill` algorithm iterates block-by-block within bounds
4. Each unit can independently clip and fill its portion of a water body
**No special handling needed** - water relations work the same as other elements:
- Distribute relation to units that intersect its bbox
- Each unit clips to its own bounds
- Each unit fills its portion independently
### 9. Element Priority Order ⚠️ MUST BE PRESERVED
**Current behavior:**
- Elements are sorted by priority before processing (osm_parser.rs):
```rust
const PRIORITY_ORDER: [&str; 6] = [
"entrance", "building", "highway", "waterway", "water", "barrier",
];
```
- This ensures entrances are placed before buildings (so doors work)
- Buildings before highways (so sidewalks don't overwrite buildings)
**Requirement:**
- Each unit must process its elements in the SAME priority order
- This is natural: just sort the unit's elements the same way
### 10. SPONGE Block as Placeholder ⚠️ MINOR CONSIDERATION
**Current behavior:**
- `SPONGE` block is used as a blacklist marker in some places
- Example: `editor.set_block(actual_block, x, 0, z, None, Some(&[SPONGE]));`
- Prevents certain blocks from overwriting sponge blocks
**Impact on parallel processing:**
- None - this is a per-block check, not cross-region coordination
- Each unit handles its own sponge blocks independently
### 11. Tree Placement and Building Footprints ⚠️ REQUIRES GLOBAL FOOTPRINTS
**Current behavior:**
- Trees check `building_footprints.contains(x, z)` before spawning
- Prevents trees from appearing inside buildings
- Uses `coord_rng(x, z, element_id)` for deterministic placement
**Problem with per-unit footprints:**
- A tree near a unit boundary might not see a building from the adjacent unit
- Could spawn a tree inside a building that exists in neighbor unit
**Solution (already planned):**
- Compute building footprints GLOBALLY before parallel processing
- Pass as `Arc<BuildingFootprintBitmap>` to all units
- Tree placement will correctly avoid all buildings
### 12. Relations with Multiple Members Across Units ⚠️ REQUIRES CAREFUL HANDLING
**Current behavior:**
- Relations (buildings, landuse, leisure, natural) process each member way
- Member ways can be scattered across the entire bbox
**Example: Building relation with courtyard**
```
Building Relation:
- Outer way 1 (in Unit A)
- Outer way 2 (in Unit A and B) ← straddles boundary
- Inner way (courtyard, in Unit A)
```
**Strategy:**
1. Distribute entire relation to all units that any member touches
2. Each unit clips all members to its bounds
3. Each unit processes the clipped relation independently
4. Deterministic RNG ensures consistent colors/styles
**Important:** The relation-level tags (e.g., `building:levels`) must be preserved for all units processing that relation.
---
## Proposed Processing Unit Structure
### ProcessingUnit Definition
```rust
struct ProcessingUnit {
/// Which region this unit covers (1 region per unit)
region_x: i32,
region_z: i32,
/// Minecraft coordinate bounds for this unit (512×512 blocks)
min_x: i32, // region_x * 512
max_x: i32, // region_x * 512 + 511
min_z: i32, // region_z * 512
max_z: i32, // region_z * 512 + 511
/// Expanded bounds for element fetching (includes buffer for boundary elements)
fetch_min_x: i32,
fetch_max_x: i32,
fetch_min_z: i32,
fetch_max_z: i32,
}
```
### Unit Grid Calculation
```rust
fn compute_processing_units(
global_xzbbox: &XZBBox,
buffer_blocks: i32, // e.g., 64-128 blocks overlap
) -> Vec<ProcessingUnit> {
let blocks_per_region = 512; // 32 chunks × 16 blocks
// Calculate which regions are covered by the bbox
let min_region_x = global_xzbbox.min_x() >> 9; // divide by 512
let max_region_x = global_xzbbox.max_x() >> 9;
let min_region_z = global_xzbbox.min_z() >> 9;
let max_region_z = global_xzbbox.max_z() >> 9;
let mut units = Vec::new();
// Create one unit per region
for rx in min_region_x..=max_region_x {
for rz in min_region_z..=max_region_z {
// Compute Minecraft coordinate bounds for this region
let min_x = rx * blocks_per_region;
let max_x = min_x + blocks_per_region - 1;
let min_z = rz * blocks_per_region;
let max_z = min_z + blocks_per_region - 1;
// Add buffer for fetch bounds (clamped to global bbox)
let fetch_min_x = (min_x - buffer_blocks).max(global_xzbbox.min_x());
let fetch_max_x = (max_x + buffer_blocks).min(global_xzbbox.max_x());
let fetch_min_z = (min_z - buffer_blocks).max(global_xzbbox.min_z());
let fetch_max_z = (max_z + buffer_blocks).min(global_xzbbox.max_z());
units.push(ProcessingUnit {
region_x: rx,
region_z: rz,
min_x, max_x, min_z, max_z,
fetch_min_x, fetch_max_x, fetch_min_z, fetch_max_z,
});
}
}
units
}
```
### Parallel Execution Strategy
```rust
fn process_units_parallel(
units: Vec<ProcessingUnit>,
elements: &[ProcessedElement],
global_ground: Arc<Ground>,
global_building_footprints: Arc<BuildingFootprintBitmap>,
global_highway_connectivity: Arc<HighwayConnectivityMap>,
args: &Args,
) {
// Use CPU-1 cores for parallel processing
let num_threads = std::thread::available_parallelism()
.map(|n| n.get().saturating_sub(1).max(1))
.unwrap_or(1);
units.into_par_iter()
.with_min_len(1) // Process 1 unit per task
.for_each(|unit| {
// 1. Filter elements that intersect this unit's fetch bounds
let unit_elements = filter_elements_for_unit(elements, &unit);
// 2. Clip elements to unit's actual bounds
let clipped_elements = clip_elements_to_unit(unit_elements, &unit);
// 3. Create per-unit structures
let unit_xzbbox = XZBBox::new(unit.min_x, unit.max_x, unit.min_z, unit.max_z);
let mut editor = WorldEditor::new(args.path.clone(), &unit_xzbbox, ...);
editor.set_ground(Arc::clone(&global_ground));
// 4. Pre-compute flood fills for this unit's elements
let flood_fill_cache = FloodFillCache::precompute(&clipped_elements, args.timeout.as_ref());
// 5. Process elements (same as current, just for this unit)
for element in clipped_elements {
process_element(&mut editor, &element, ...);
}
// 6. Generate ground layer for this unit
generate_ground_for_unit(&mut editor, &unit, &global_ground);
// 7. Save region immediately and FREE MEMORY
editor.save_single_region(unit.region_x, unit.region_z);
drop(editor); // Release memory
});
}
```
---
## Memory Usage Comparison
### Understanding Minecraft Region Sizes
```
1 Region = 32×32 chunks = 512×512 blocks (horizontally)
1 Chunk = 16×16×384 blocks (with sections from Y=-64 to Y=319)
```
### Current Architecture (All Regions in Memory)
| Stage | Memory Usage |
|-------|--------------|
| OSM Data (parsed) | ~50-200 MB |
| Flood Fill Cache | ~100-500 MB |
| Building Footprints | ~10-50 MB |
| WorldToModify (all regions) | **~300 MB × N regions** |
| **Total for 100 regions** | **~30+ GB** |
### Unit Size Analysis
The optimal unit size depends on balancing:
1. **Memory per unit** - Larger units = more memory
2. **Parallelism overhead** - Smaller units = more coordination
3. **Boundary overhead** - More units = more elements processed multiple times
| Unit Size | Blocks | Memory per Unit | Parallel Units (8 cores) | Peak Memory |
|-----------|--------|-----------------|--------------------------|-------------|
| 1 region (32×32 chunks) | 512×512 | ~300 MB | 7 units | ~2.5 GB |
| 2×2 regions | 1024×1024 | ~1.2 GB | 7 units | ~9 GB |
| 4×4 regions | 2048×2048 | ~4.8 GB | 7 units | ~35 GB |
### Recommendation: 1 Region Per Unit
**1 region per unit is optimal because:**
1. **Lowest memory footprint** - Only ~300 MB per unit
2. **Natural alignment** - Regions are the atomic save unit in Minecraft (.mca files)
3. **Maximum parallelism** - More units = better CPU utilization
4. **Simple boundary logic** - No partial region handling
**Memory calculation for 7 parallel units (8-core CPU, using 7):**
- Per-unit WorldToModify: ~300 MB
- Per-unit flood fill cache: ~50 MB
- Per-unit OSM elements: ~20 MB
- **Peak memory: ~370 MB × 7 = ~2.6 GB**
Plus global shared data:
- Elevation data: ~50-100 MB
- Building footprints: ~10-50 MB
- Highway connectivity: ~20-50 MB
**Total peak: ~3 GB** (vs ~30 GB for 100 regions currently!)
### Why Not Smaller Than 1 Region?
- Regions are the minimum save unit for Minecraft
- Going smaller would require buffering partial regions
- No memory benefit (still need full region in memory to save)
---
## Implementation Phases
### Phase 1: Refactor Global Data Preparation
**Goal:** Extract global computations that must run before parallel processing
**Changes:**
1. Move elevation fetching to a separate global phase
2. Move building footprint collection to global phase
3. Move highway connectivity map building to global phase
4. Create shared data structures with `Arc<T>`
**Files affected:**
- `data_processing.rs` - restructure `generate_world_with_options()`
- `ground.rs` - no changes, already returns `Ground`
- `floodfill_cache.rs` - add method to collect building footprints globally
- `element_processing/highways.rs` - extract connectivity map building
### Phase 2: Implement Processing Unit Grid
**Goal:** Add logic to divide the world into processing units
**Changes:**
1. Create `processing_unit.rs` module
2. Implement grid computation
3. Implement element-to-unit distribution
4. Add unit-level bounding box clipping
**New files:**
- `src/processing_unit.rs`
### Phase 3: Parallelize Unit Processing
**Goal:** Process units in parallel using rayon
**Changes:**
1. Create per-unit WorldEditor instances
2. Implement unit processing function
3. Add parallel execution with CPU cap
4. Implement region saving after unit completion
**Files affected:**
- `data_processing.rs` - main parallel loop
- `world_editor/mod.rs` - support per-unit saving
### Phase 4: Handle Boundary Cases
**Goal:** Ensure seamless results across unit boundaries
**Changes:**
1. Verify deterministic RNG produces identical results
2. Implement special handling for large water bodies
3. Add boundary verification tests
4. Optimize overlap buffer size
**Files affected:**
- `element_processing/water_areas.rs` - global water handling
- `clipping.rs` - potential optimizations
### Phase 5: Optimize Memory Management
**Goal:** Fine-tune memory usage and parallelism
**Changes:**
1. Implement memory pressure monitoring
2. Add dynamic unit size adjustment
3. Optimize flood fill cache memory
4. Profile and optimize hot paths
---
## Testing Strategy
### Unit Tests
1. **Deterministic RNG Test**
- Process same building in two units
- Verify identical colors/styles
2. **Elevation Consistency Test**
- Check ground level at unit boundaries
- Verify no height discontinuities
3. **Clipping Accuracy Test**
- Verify elements clipped correctly at unit boundaries
- Check polygon integrity after clipping
### Integration Tests
1. **Small Area Test**
- Process 2×2 region area
- Verify world loads correctly in Minecraft
2. **Boundary Building Test**
- Create world with buildings at unit boundaries
- Verify buildings are complete and correctly colored
3. **Large Water Body Test**
- Process area with lake spanning multiple units
- Verify water body is continuous
### Performance Tests
1. **Memory Usage Test**
- Monitor peak memory during processing
- Compare with current architecture
2. **CPU Utilization Test**
- Verify parallel units use expected cores
- Measure speedup vs sequential processing
---
## Configuration Options
### Proposed CLI Arguments
```rust
/// Number of CPU cores to use for parallel processing (default: available - 1)
/// Set to 1 to disable parallel processing
#[arg(long, default_value_t = 0)]
pub parallel_cores: usize,
/// Buffer size for boundary overlap in blocks (default: 64)
/// Larger values ensure buildings at boundaries are complete but increase processing time
#[arg(long, default_value_t = 64)]
pub boundary_buffer: i32,
```
---
## Risk Assessment
### High Risk
| Risk | Mitigation |
|------|------------|
| Elevation discontinuities at boundaries | Use global elevation data (already planned) |
| Race conditions in file writing | Each unit writes different regions (no overlap) |
| Trees spawning inside buildings at boundaries | Use global building footprints bitmap |
### Medium Risk
| Risk | Mitigation |
|------|------------|
| Overpass API rate limiting | Download once globally, distribute elements |
| Complex relations broken at boundaries | Distribute full relation to all touching units |
| Highway connectivity missing at boundaries | Build connectivity map globally |
### Low Risk
| Risk | Mitigation |
|------|------------|
| Different random values at boundaries | Deterministic RNG already implemented |
| Performance regression | Benchmark before/after, make parallel optional |
| Water bodies split incorrectly | Water already supports clipping via `clip_water_ring_to_bbox` |
---
## Questions to Resolve
1. **Should we support Bedrock format with this change?**
- Bedrock writes to a single .mcworld file (LevelDB database)
- May need different handling (write to temp, merge at end)
- Could be deferred to a follow-up implementation
2. **What buffer size for boundary overlap?**
- Current thinking: 64-128 blocks should be sufficient
- Most buildings are smaller than this
- Larger buffers = more duplicate processing
3. **Should flood fills be computed globally or per-unit?**
- Per-unit is simpler and avoids coordination
- Some redundant computation at boundaries (acceptable)
- **Recommendation:** Start per-unit
4. **How to report progress across parallel units?**
- Current progress is linear (element by element)
- With parallel, need aggregated progress reporting
- Option: Track completed regions, report as percentage
5. **Should we limit parallelism based on available RAM?**
- Could detect system RAM and adjust parallel units
- Or just document memory requirements per parallel unit
- **Recommendation:** Start with CPU-1 cores, let users override
---
## Summary
The proposed parallel region processing architecture will:
1. ✅ **Reduce memory usage by ~90%** by processing 1 region at a time per unit (~300 MB vs ~30 GB for 100 regions)
2. ✅ **Utilize multiple CPU cores** through rayon-based parallel processing (CPU-1 cores)
3. ✅ **Maintain visual consistency** using deterministic RNG and global shared data
4. ✅ **Be backward compatible** with a `--no-parallel` flag for the current behavior
The main implementation work is:
- Refactoring to extract global computations (elevation, building footprints, highway connectivity)
- Adding element-to-unit distribution logic with proper clipping
- Per-unit WorldEditor instances with immediate region saving
**The design is simpler than originally thought** because:
- Water relations already support clipping (no special handling)
- Deterministic RNG already exists (no changes needed)
- Priority order is preserved naturally (just sort per-unit)
Estimated implementation effort: **3-4 weeks** for a fully tested solution.

View File

@@ -58,23 +58,6 @@ pub struct Args {
/// Set floodfill timeout (seconds) (optional)
#[arg(long, value_parser = parse_duration)]
pub timeout: Option<Duration>,
/// Number of parallel threads (0 = auto, uses available cores - 1)
#[arg(long, default_value_t = 0)]
pub threads: usize,
/// Number of regions to batch per processing unit (1 = one region, 2 = 2x2=4 regions, etc.)
/// Larger batches reduce element duplication overhead but use more memory per unit
#[arg(long, default_value_t = 2)]
pub region_batch_size: usize,
/// Disable parallel processing (process sequentially) - DEFAULT due to correctness issues
#[arg(long, default_value_t = true)]
pub no_parallel: bool,
/// Force parallel processing (experimental, may have visual bugs)
#[arg(long)]
pub force_parallel: bool,
}
fn validate_minecraft_world_path(path: &str) -> Result<PathBuf, String> {

View File

@@ -1,4 +1,4 @@
pub mod xzbbox;
mod xzbbox;
mod xzpoint;
mod xzvector;

View File

@@ -1,4 +1,4 @@
pub mod rectangle;
mod rectangle;
mod xzbbox_enum;
pub use xzbbox_enum::XZBBox;

View File

@@ -7,18 +7,12 @@ use crate::floodfill_cache::FloodFillCache;
use crate::ground::Ground;
use crate::map_renderer;
use crate::osm_parser::ProcessedElement;
use crate::parallel_processing::{
calculate_parallel_threads, compute_processing_units, distribute_elements_to_units_indices,
ParallelConfig, ProcessingStats,
};
use crate::progress::{emit_gui_progress_update, emit_map_preview_ready, emit_open_mcworld_file};
#[cfg(feature = "gui")]
use crate::telemetry::{send_log, LogLevel};
use crate::unit_processing::{process_unit_refs, SharedProcessingData};
use crate::world_editor::{WorldEditor, WorldFormat};
use colored::Colorize;
use indicatif::{ProgressBar, ProgressStyle};
use rayon::prelude::*;
use std::path::PathBuf;
use std::sync::Arc;
@@ -47,22 +41,7 @@ pub fn generate_world(
level_name: None,
spawn_point: None,
};
// Use sequential by default (parallel has correctness issues)
// Use --force-parallel to enable experimental parallel mode
let parallel_config = if args.force_parallel {
ParallelConfig {
num_threads: args.threads,
buffer_blocks: 64,
enabled: true,
region_batch_size: args.region_batch_size,
}
} else {
ParallelConfig::sequential()
};
generate_world_with_options(elements, xzbbox, llbbox, ground, args, options, parallel_config)
.map(|_| ())
generate_world_with_options(elements, xzbbox, llbbox, ground, args, options).map(|_| ())
}
/// Generate world with explicit format options (used by GUI for Bedrock support)
@@ -73,362 +52,6 @@ pub fn generate_world_with_options(
ground: Ground,
args: &Args,
options: GenerationOptions,
parallel_config: ParallelConfig,
) -> Result<PathBuf, String> {
let _output_path = options.path.clone();
let _world_format = options.format;
// Determine if we should use parallel processing
let num_threads = calculate_parallel_threads(parallel_config.num_threads);
// Calculate region count to decide if parallel is worth the overhead
let min_region_x = xzbbox.min_x() >> 9;
let max_region_x = xzbbox.max_x() >> 9;
let min_region_z = xzbbox.min_z() >> 9;
let max_region_z = xzbbox.max_z() >> 9;
let region_count = ((max_region_x - min_region_x + 1) * (max_region_z - min_region_z + 1)) as usize;
// Auto-disable parallel for small areas (< 6 regions) - overhead isn't worth it
// User can still force parallel with explicit --threads > 1 and region count check
let use_parallel = parallel_config.enabled && num_threads > 1 && region_count >= 6;
let mode_reason = if !parallel_config.enabled {
"disabled by --no-parallel"
} else if num_threads <= 1 {
"single thread"
} else if region_count < 6 {
"small area (< 6 regions)"
} else {
"parallel"
};
println!(
"{} Processing data ({} mode, {} thread(s), {} regions)...",
"[4/7]".bold(),
if use_parallel { "parallel" } else { "sequential" },
num_threads,
region_count
);
if !use_parallel && parallel_config.enabled && region_count < 6 {
println!(" (auto-selected sequential: {})", mode_reason);
}
// Build highway connectivity map once before processing (needed for all units)
let highway_connectivity = Arc::new(highways::build_highway_connectivity_map(&elements));
let ground = Arc::new(ground);
println!("{} Processing terrain...", "[5/7]".bold());
emit_gui_progress_update(25.0, "Processing terrain...");
// Pre-compute all flood fills in parallel for better CPU utilization
let flood_fill_cache = Arc::new(FloodFillCache::precompute(
&elements,
args.timeout.as_ref(),
));
// Collect building footprints to prevent trees from spawning inside buildings
let building_footprints =
Arc::new(flood_fill_cache.collect_building_footprints(&elements, &xzbbox));
if use_parallel {
// === PARALLEL PROCESSING PATH ===
generate_world_parallel(
elements,
xzbbox,
llbbox,
ground,
highway_connectivity,
flood_fill_cache,
building_footprints,
args,
options,
parallel_config,
)
} else {
// === SEQUENTIAL PROCESSING PATH (original logic) ===
generate_world_sequential(
elements,
xzbbox,
llbbox,
ground,
highway_connectivity,
flood_fill_cache,
building_footprints,
args,
options,
)
}
}
/// Parallel world generation - processes regions in parallel, saving each immediately
#[allow(clippy::too_many_arguments)]
fn generate_world_parallel(
elements: Vec<ProcessedElement>,
xzbbox: XZBBox,
llbbox: LLBBox,
ground: Arc<Ground>,
highway_connectivity: Arc<highways::HighwayConnectivityMap>,
flood_fill_cache: Arc<FloodFillCache>,
building_footprints: Arc<crate::floodfill_cache::BuildingFootprintBitmap>,
args: &Args,
options: GenerationOptions,
parallel_config: ParallelConfig,
) -> Result<PathBuf, String> {
let output_path = options.path.clone();
let world_format = options.format;
// Compute processing units (one or more regions per unit depending on batch size)
let units = compute_processing_units(
&xzbbox,
parallel_config.buffer_blocks,
parallel_config.region_batch_size
);
let total_units = units.len();
println!(
" {} unit(s) to process across {} thread(s) (batch size: {})",
total_units,
calculate_parallel_threads(parallel_config.num_threads),
parallel_config.region_batch_size
);
// Distribute elements to units based on spatial intersection
// Returns indices into the elements vector for each unit
let unit_element_indices = distribute_elements_to_units_indices(&elements, &units);
// Wrap elements in Arc for shared access across threads
let elements = Arc::new(elements);
// Create shared data for all units
let shared = Arc::new(SharedProcessingData {
ground: Arc::clone(&ground),
highway_connectivity: Arc::clone(&highway_connectivity),
building_footprints: Arc::clone(&building_footprints),
floodfill_cache: Arc::clone(&flood_fill_cache),
llbbox,
world_dir: options.path.clone(),
format: options.format,
level_name: options.level_name.clone(),
terrain_enabled: args.terrain,
ground_level: args.ground_level,
fill_ground: args.fillground,
interior: args.interior,
roof: args.roof,
debug: args.debug,
timeout: args.timeout,
});
// Set up progress tracking
let stats = Arc::new(ProcessingStats::new(total_units, 0));
let process_pb = ProgressBar::new(total_units as u64);
process_pb.set_style(
ProgressStyle::default_bar()
.template("{spinner:.green} [{elapsed_precise}] [{bar:45}] {pos}/{len} regions ({eta})")
.unwrap()
.progress_chars("█▓░"),
);
// Process units in parallel
println!("{} Processing regions in parallel...", "[5/7]".bold());
// Log element distribution stats
let total_element_refs: usize = unit_element_indices.iter().map(|v| v.len()).sum();
let avg_elements_per_unit = total_element_refs as f64 / total_units as f64;
println!(
" Total element references: {} (avg {:.1} per unit, original: {})",
total_element_refs, avg_elements_per_unit, elements.len()
);
println!(
" Element processing overhead: {:.1}x (elements processed multiple times across regions)",
total_element_refs as f64 / elements.len() as f64
);
// Configure thread pool to use requested number of threads
let num_threads = calculate_parallel_threads(parallel_config.num_threads);
// Process each unit: generate blocks, save region, free memory
let units_with_indices: Vec<_> = units
.into_iter()
.zip(unit_element_indices.into_iter())
.collect();
// Track timing for each unit
let unit_times = std::sync::Mutex::new(Vec::with_capacity(total_units));
let parallel_start = std::time::Instant::now();
// Track which thread processes each unit
let thread_ids = std::sync::Mutex::new(std::collections::HashSet::new());
// Use rayon's parallel iterator with configured thread count
println!(" Starting parallel processing with {} threads...", num_threads);
rayon::ThreadPoolBuilder::new()
.num_threads(num_threads)
.build()
.unwrap()
.install(|| {
units_with_indices
.par_iter()
.for_each(|(unit, element_indices)| {
// Track thread usage
let thread_id = std::thread::current().id();
thread_ids.lock().unwrap().insert(format!("{:?}", thread_id));
let unit_start = std::time::Instant::now();
// Collect elements for this unit using indices - only clone what's needed
let unit_elements: Vec<&ProcessedElement> = element_indices
.iter()
.map(|&idx| &elements[idx])
.collect();
// Create bbox for this specific unit
let unit_bbox = unit.bbox();
// Process this unit and save immediately
let process_start = std::time::Instant::now();
let mut editor = process_unit_refs(unit, &unit_elements, &shared, &unit_bbox, args);
let process_time = process_start.elapsed();
// Save this region silently (no progress output)
let save_start = std::time::Instant::now();
editor.save_silent();
let save_time = save_start.elapsed();
// editor is dropped here, freeing its memory
let total_time = unit_start.elapsed();
// Update progress
let completed = stats.increment_completed();
process_pb.inc(1);
// Store timing info
unit_times.lock().unwrap().push((
unit.region_x,
unit.region_z,
element_indices.len(),
process_time,
save_time,
total_time,
));
// Progress: 25% (terrain done) to 90% (regions done)
// This covers the full parallel processing phase
let progress = 25.0 + (completed as f64 / total_units as f64) * 65.0;
emit_gui_progress_update(progress, &format!("Processing unit {}/{}...", completed, total_units));
});
});
process_pb.finish();
let parallel_duration = parallel_start.elapsed();
// Report thread usage
let unique_threads = thread_ids.into_inner().unwrap();
println!(" Threads actually used: {} (requested: {})", unique_threads.len(), num_threads);
// Print timing summary
let times = unit_times.into_inner().unwrap();
println!("\n === Unit Processing Times ===");
let mut total_process = std::time::Duration::ZERO;
let mut total_save = std::time::Duration::ZERO;
// Sort by total time descending to show slowest first
let mut sorted_times = times.clone();
sorted_times.sort_by(|a, b| b.5.cmp(&a.5));
for (rx, rz, elem_count, process, save, total) in sorted_times.iter().take(10) {
println!(
" Region ({:3},{:3}): {} elements, process: {:>6.2}s, save: {:>5.2}s, total: {:>6.2}s",
rx, rz, elem_count,
process.as_secs_f64(),
save.as_secs_f64(),
total.as_secs_f64()
);
total_process += *process;
total_save += *save;
}
if times.len() > 10 {
for (_, _, _, process, save, _) in times.iter().skip(10) {
total_process += *process;
total_save += *save;
}
println!(" ... and {} more units", times.len() - 10);
}
let sum_total: std::time::Duration = times.iter().map(|t| t.5).sum();
println!(" Sum of all unit times: {:.2}s (process: {:.2}s, save: {:.2}s)",
sum_total.as_secs_f64(), total_process.as_secs_f64(), total_save.as_secs_f64());
println!(" Actual wall time: {:.2}s", parallel_duration.as_secs_f64());
println!(" Parallelism factor: {:.2}x (sum/wall)", sum_total.as_secs_f64() / parallel_duration.as_secs_f64());
println!();
// Final save for any remaining metadata or global operations
println!("{} Finalizing world...", "[7/7]".bold());
emit_gui_progress_update(90.0, "Finalizing world...");
// Save metadata file (regions already saved individually during processing)
let mut metadata_editor = WorldEditor::new_with_format_and_name(
options.path.clone(),
&xzbbox,
llbbox,
options.format,
options.level_name,
options.spawn_point,
);
metadata_editor.set_ground(Arc::clone(&ground));
// Only save metadata, not the world data (already saved per-region)
if let Err(e) = metadata_editor.save_metadata() {
eprintln!("Warning: Failed to save metadata: {}", e);
}
emit_gui_progress_update(99.0, "World generation complete!");
// Handle spawn point update for GUI
#[cfg(feature = "gui")]
if world_format == WorldFormat::JavaAnvil {
use crate::gui::update_player_spawn_y_after_generation;
let bbox_string = format!(
"{},{},{},{}",
args.bbox.min().lat(),
args.bbox.min().lng(),
args.bbox.max().lat(),
args.bbox.max().lng()
);
if let Err(e) =
update_player_spawn_y_after_generation(&args.path, bbox_string, args.scale, &ground)
{
let warning_msg = format!("Failed to update spawn point Y coordinate: {}", e);
eprintln!("Warning: {}", warning_msg);
send_log(LogLevel::Warning, &warning_msg);
}
}
// For Bedrock format, emit event to open the mcworld file
if world_format == WorldFormat::BedrockMcWorld {
if let Some(path_str) = output_path.to_str() {
emit_open_mcworld_file(path_str);
}
}
Ok(output_path)
}
/// Sequential world generation - original logic preserved for debugging/comparison
#[allow(clippy::too_many_arguments)]
fn generate_world_sequential(
elements: Vec<ProcessedElement>,
xzbbox: XZBBox,
llbbox: LLBBox,
ground: Arc<Ground>,
highway_connectivity: Arc<highways::HighwayConnectivityMap>,
flood_fill_cache: Arc<FloodFillCache>,
building_footprints: Arc<crate::floodfill_cache::BuildingFootprintBitmap>,
args: &Args,
options: GenerationOptions,
) -> Result<PathBuf, String> {
let output_path = options.path.clone();
let world_format = options.format;
@@ -442,10 +65,26 @@ fn generate_world_sequential(
options.level_name.clone(),
options.spawn_point,
);
let ground = Arc::new(ground);
println!("{} Processing data...", "[4/7]".bold());
// Build highway connectivity map once before processing
let highway_connectivity = highways::build_highway_connectivity_map(&elements);
// Set ground reference in the editor to enable elevation-aware block placement
editor.set_ground(Arc::clone(&ground));
println!("{} Processing terrain...", "[5/7]".bold());
emit_gui_progress_update(25.0, "Processing terrain...");
// Pre-compute all flood fills in parallel for better CPU utilization
let mut flood_fill_cache = FloodFillCache::precompute(&elements, args.timeout.as_ref());
// Collect building footprints to prevent trees from spawning inside buildings
// Uses a memory-efficient bitmap (~1 bit per coordinate) instead of a HashSet (~24 bytes per coordinate)
let building_footprints = flood_fill_cache.collect_building_footprints(&elements, &xzbbox);
// Process data
let elements_count: usize = elements.len();
let mut elements = elements; // Take ownership for consuming
@@ -539,7 +178,8 @@ fn generate_world_sequential(
} else if way.tags.contains_key("man_made") {
man_made::generate_man_made(&mut editor, &element, args);
}
// Note: flood fill cache entries are managed by Arc, not removed per-element in Arc version
// Release flood fill cache entry for this way
flood_fill_cache.remove_way(way.id);
}
ProcessedElement::Node(node) => {
if node.tags.contains_key("door") || node.tags.contains_key("entrance") {
@@ -615,7 +255,9 @@ fn generate_world_sequential(
} else if rel.tags.contains_key("man_made") {
man_made::generate_man_made(&mut editor, &element, args);
}
// Note: flood fill cache entries are managed by Arc, dropped when no longer referenced
// Release flood fill cache entries for all ways in this relation
let way_ids: Vec<u64> = rel.members.iter().map(|m| m.way.id).collect();
flood_fill_cache.remove_relation_ways(&way_ids);
}
}
// Element is dropped here, freeing its memory immediately

View File

@@ -40,12 +40,102 @@ type TileImage = image::ImageBuffer<Rgb<u8>, Vec<u8>>;
/// Result type for tile download operations: ((tile_x, tile_y), image) or error
type TileDownloadResult = Result<((u32, u32), TileImage), String>;
/// Cache directory name for elevation tiles
const TILE_CACHE_DIR_NAME: &str = "arnis-tile-cache";
/// Returns a writable cache directory for elevation tiles.
/// Tries current directory first, falls back to Desktop, then Home directory.
fn get_tile_cache_dir() -> PathBuf {
// Try current directory first
let local_cache = PathBuf::from("./").join(TILE_CACHE_DIR_NAME);
if try_create_cache_dir(&local_cache) {
return local_cache;
}
// Fall back to Desktop (only available with GUI feature)
#[cfg(feature = "gui")]
if let Some(desktop) = dirs::desktop_dir() {
let desktop_cache = desktop.join(TILE_CACHE_DIR_NAME);
if try_create_cache_dir(&desktop_cache) {
eprintln!(
"Note: Using Desktop for tile cache at {}",
desktop_cache.display()
);
return desktop_cache;
}
}
// Fall back to Home directory (only available with GUI feature)
#[cfg(feature = "gui")]
if let Some(home) = dirs::home_dir() {
let home_cache = home.join(TILE_CACHE_DIR_NAME);
if try_create_cache_dir(&home_cache) {
eprintln!(
"Note: Using home directory for tile cache at {}",
home_cache.display()
);
return home_cache;
}
}
// Last resort: use current directory anyway
// Log a warning since this will likely fail
eprintln!("Warning: Could not find a writable cache directory. Tile caching may fail.");
local_cache
}
/// Attempts to create the cache directory and verify it's writable.
/// Returns true if successful.
fn try_create_cache_dir(path: &Path) -> bool {
// Try to create the directory
if std::fs::create_dir_all(path).is_err() {
return false;
}
// Verify we can write to it by creating a unique test file
// Use process ID and timestamp to avoid conflicts with parallel instances
let test_filename = format!(
".arnis_write_test_{}_{:x}",
std::process::id(),
std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.map(|d| d.as_nanos())
.unwrap_or(0)
);
let test_file = path.join(test_filename);
if std::fs::write(&test_file, b"test").is_ok() {
let _ = std::fs::remove_file(&test_file);
return true;
}
false
}
/// Cleans up old cached tiles from the tile cache directory.
/// Only deletes .png files within the arnis-tile-cache directory that are older than TILE_CACHE_MAX_AGE_DAYS.
/// This function is safe and will not delete files outside the cache directory or fail on errors.
pub fn cleanup_old_cached_tiles() {
let tile_cache_dir = PathBuf::from("./arnis-tile-cache");
// Check all possible cache locations
let mut possible_locations: Vec<PathBuf> = vec![PathBuf::from("./").join(TILE_CACHE_DIR_NAME)];
#[cfg(feature = "gui")]
{
if let Some(desktop) = dirs::desktop_dir() {
possible_locations.push(desktop.join(TILE_CACHE_DIR_NAME));
}
if let Some(home) = dirs::home_dir() {
possible_locations.push(home.join(TILE_CACHE_DIR_NAME));
}
}
for location in possible_locations {
cleanup_cache_at_location(&location);
}
}
/// Cleans up old cached tiles at a specific location.
fn cleanup_cache_at_location(tile_cache_dir: &Path) {
if !tile_cache_dir.exists() || !tile_cache_dir.is_dir() {
return; // Nothing to clean up
}
@@ -56,7 +146,7 @@ pub fn cleanup_old_cached_tiles() {
let mut error_count = 0;
// Read directory entries
let entries = match std::fs::read_dir(&tile_cache_dir) {
let entries = match std::fs::read_dir(tile_cache_dir) {
Ok(entries) => entries,
Err(_) => {
return;
@@ -287,10 +377,8 @@ pub fn fetch_elevation_data(
let mut height_grid: Vec<Vec<f64>> = vec![vec![f64::NAN; grid_width]; grid_height];
let mut extreme_values_found = Vec::new(); // Track extreme values for debugging
let tile_cache_dir = PathBuf::from("./arnis-tile-cache");
if !tile_cache_dir.exists() {
std::fs::create_dir_all(&tile_cache_dir)?;
}
// Get a writable cache directory (tries current dir, falls back to Desktop/Home)
let tile_cache_dir = get_tile_cache_dir();
// Create a shared HTTP client for connection pooling
let client = reqwest::blocking::Client::new();

View File

@@ -285,7 +285,6 @@ impl FloodFillCache {
/// Removes a way's cached flood fill result, freeing memory.
///
/// Call this after processing an element to release its cached data.
#[allow(dead_code)]
pub fn remove_way(&mut self, way_id: u64) {
self.way_cache.remove(&way_id);
}
@@ -293,7 +292,6 @@ impl FloodFillCache {
/// Removes all cached flood fill results for ways in a relation.
///
/// Relations contain multiple ways, so we need to remove all of them.
#[allow(dead_code)]
pub fn remove_relation_ways(&mut self, way_ids: &[u64]) {
for &id in way_ids {
self.way_cache.remove(&id);

View File

@@ -6,7 +6,6 @@ use crate::data_processing::{self, GenerationOptions};
use crate::ground::{self, Ground};
use crate::map_transformation;
use crate::osm_parser;
use crate::parallel_processing::ParallelConfig;
use crate::progress::{self, emit_gui_progress_update};
use crate::retrieve_data;
use crate::telemetry::{self, send_log, LogLevel};
@@ -995,10 +994,6 @@ fn gui_start_generation(
fillground: fillground_enabled,
debug: false,
timeout: Some(std::time::Duration::from_secs(40)),
threads: 0, // Auto-detect thread count
region_batch_size: 2, // Four regions per unit (default)
no_parallel: true, // Use sequential processing (parallel has bugs)
force_parallel: false,
};
// If skip_osm_objects is true (terrain-only mode), skip fetching and processing OSM data
@@ -1019,7 +1014,6 @@ fn gui_start_generation(
ground,
&args,
generation_options.clone(),
ParallelConfig::default(), // Use parallel processing
);
// Explicitly release session lock before showing Done message
// so Minecraft can open the world immediately
@@ -1073,7 +1067,6 @@ fn gui_start_generation(
ground,
&args,
generation_options.clone(),
ParallelConfig::default(), // Use parallel processing
);
// Explicitly release session lock before showing Done message
// so Minecraft can open the world immediately

View File

@@ -18,7 +18,6 @@ mod ground;
mod map_renderer;
mod map_transformation;
mod osm_parser;
mod parallel_processing;
#[cfg(feature = "gui")]
mod progress;
mod retrieve_data;
@@ -26,7 +25,6 @@ mod retrieve_data;
mod telemetry;
#[cfg(test)]
mod test_utilities;
mod unit_processing;
mod version_check;
mod world_editor;

View File

@@ -1,476 +0,0 @@
//! Parallel region processing for improved memory efficiency and CPU utilization.
//!
//! This module splits the world generation into processing units (1 Minecraft region each),
//! processes them in parallel, and flushes each region to disk immediately after completion.
//!
//! Key benefits:
//! - Memory usage reduced by ~90% (only active regions in memory)
//! - Multi-core CPU utilization
//! - Consistent results via deterministic RNG
use crate::coordinate_system::cartesian::xzbbox::rectangle::XZBBoxRect;
use crate::coordinate_system::cartesian::{XZBBox, XZPoint};
use crate::floodfill_cache::BuildingFootprintBitmap;
use crate::ground::Ground;
use crate::osm_parser::{ProcessedElement, ProcessedNode};
use std::sync::atomic::{AtomicU64, Ordering};
use std::sync::Arc;
use crate::element_processing::highways::HighwayConnectivityMap;
/// Size of a Minecraft region in blocks (32 chunks × 16 blocks per chunk)
pub const REGION_BLOCKS: i32 = 512;
/// A processing unit representing a single Minecraft region to be generated.
#[derive(Debug, Clone)]
#[allow(dead_code)]
pub struct ProcessingUnit {
/// Region X coordinate (in region space, not block space)
pub region_x: i32,
/// Region Z coordinate (in region space, not block space)
pub region_z: i32,
/// Minecraft coordinate bounds for this unit (512×512 blocks)
pub min_x: i32,
pub max_x: i32,
pub min_z: i32,
pub max_z: i32,
/// Expanded bounds for element fetching (includes buffer for boundary elements)
pub fetch_min_x: i32,
pub fetch_max_x: i32,
pub fetch_min_z: i32,
pub fetch_max_z: i32,
}
impl ProcessingUnit {
/// Creates a new processing unit for a specific region.
#[allow(dead_code)]
pub fn new(region_x: i32, region_z: i32, global_bbox: &XZBBox, buffer_blocks: i32) -> Self {
Self::new_batched(region_x, region_z, region_x, region_z, global_bbox, buffer_blocks)
}
/// Creates a processing unit spanning multiple regions (for batching).
pub fn new_batched(
start_region_x: i32, start_region_z: i32,
end_region_x: i32, end_region_z: i32,
global_bbox: &XZBBox, buffer_blocks: i32
) -> Self {
// Calculate block bounds for these regions
let min_x = start_region_x * REGION_BLOCKS;
let max_x = (end_region_x + 1) * REGION_BLOCKS - 1;
let min_z = start_region_z * REGION_BLOCKS;
let max_z = (end_region_z + 1) * REGION_BLOCKS - 1;
// Add buffer for fetch bounds, clamped to global bbox
let fetch_min_x = (min_x - buffer_blocks).max(global_bbox.min_x());
let fetch_max_x = (max_x + buffer_blocks).min(global_bbox.max_x());
let fetch_min_z = (min_z - buffer_blocks).max(global_bbox.min_z());
let fetch_max_z = (max_z + buffer_blocks).min(global_bbox.max_z());
Self {
region_x: start_region_x,
region_z: start_region_z,
min_x,
max_x,
min_z,
max_z,
fetch_min_x,
fetch_max_x,
fetch_min_z,
fetch_max_z,
}
}
/// Returns the XZBBox for this unit's actual processing bounds (not fetch bounds).
pub fn bbox(&self) -> XZBBox {
XZBBox::Rect(
XZBBoxRect::new(
XZPoint::new(self.min_x, self.min_z),
XZPoint::new(self.max_x, self.max_z),
)
.expect("Invalid unit bbox bounds"),
)
}
/// Returns the XZBBox for this unit's fetch bounds (includes buffer).
#[allow(dead_code)]
pub fn fetch_bbox(&self) -> XZBBox {
XZBBox::Rect(
XZBBoxRect::new(
XZPoint::new(self.fetch_min_x, self.fetch_min_z),
XZPoint::new(self.fetch_max_x, self.fetch_max_z),
)
.expect("Invalid unit fetch bbox bounds"),
)
}
/// Checks if a point is within this unit's fetch bounds.
#[inline]
#[allow(dead_code)]
pub fn contains_fetch(&self, x: i32, z: i32) -> bool {
x >= self.fetch_min_x
&& x <= self.fetch_max_x
&& z >= self.fetch_min_z
&& z <= self.fetch_max_z
}
/// Checks if an element's bounding box intersects with this unit's fetch bounds.
pub fn intersects_element(&self, element: &ProcessedElement) -> bool {
let (min_x, max_x, min_z, max_z) = element_bbox(element);
// Check for intersection
!(max_x < self.fetch_min_x
|| min_x > self.fetch_max_x
|| max_z < self.fetch_min_z
|| min_z > self.fetch_max_z)
}
}
/// Computes the bounding box of an element.
fn element_bbox(element: &ProcessedElement) -> (i32, i32, i32, i32) {
match element {
ProcessedElement::Node(node) => (node.x, node.x, node.z, node.z),
ProcessedElement::Way(way) => way_bbox(&way.nodes),
ProcessedElement::Relation(rel) => {
let mut min_x = i32::MAX;
let mut max_x = i32::MIN;
let mut min_z = i32::MAX;
let mut max_z = i32::MIN;
for member in &rel.members {
let (mx, mxx, mz, mxz) = way_bbox(&member.way.nodes);
min_x = min_x.min(mx);
max_x = max_x.max(mxx);
min_z = min_z.min(mz);
max_z = max_z.max(mxz);
}
(min_x, max_x, min_z, max_z)
}
}
}
/// Computes the bounding box of a way's nodes.
fn way_bbox(nodes: &[ProcessedNode]) -> (i32, i32, i32, i32) {
if nodes.is_empty() {
return (0, 0, 0, 0);
}
let mut min_x = i32::MAX;
let mut max_x = i32::MIN;
let mut min_z = i32::MAX;
let mut max_z = i32::MIN;
for node in nodes {
min_x = min_x.min(node.x);
max_x = max_x.max(node.x);
min_z = min_z.min(node.z);
max_z = max_z.max(node.z);
}
(min_x, max_x, min_z, max_z)
}
/// Computes all processing units for a given world bounding box.
/// With batch_size=1, creates one unit per region.
/// With batch_size=2, creates one unit per 2x2 = 4 regions, etc.
pub fn compute_processing_units(
global_bbox: &XZBBox,
buffer_blocks: i32,
batch_size: usize,
) -> Vec<ProcessingUnit> {
// Calculate which regions are covered by the bbox
let min_region_x = global_bbox.min_x() >> 9; // divide by 512
let max_region_x = global_bbox.max_x() >> 9;
let min_region_z = global_bbox.min_z() >> 9;
let max_region_z = global_bbox.max_z() >> 9;
let mut units = Vec::new();
// Batch size determines how many regions are grouped together
// batch_size=1 -> 1 region per unit
// batch_size=2 -> 2x2=4 regions per unit
let batch = batch_size.max(1) as i32;
// Create units grouped by batch_size
let mut rx = min_region_x;
while rx <= max_region_x {
let mut rz = min_region_z;
while rz <= max_region_z {
// Create a unit spanning batch_size regions in each direction
units.push(ProcessingUnit::new_batched(
rx, rz,
(rx + batch - 1).min(max_region_x),
(rz + batch - 1).min(max_region_z),
global_bbox,
buffer_blocks
));
rz += batch;
}
rx += batch;
}
units
}
/// Distributes elements to processing units based on spatial intersection.
///
/// Each element is assigned to all units whose fetch bounds it intersects.
/// This ensures elements at boundaries are processed by all relevant units.
#[allow(dead_code)]
pub fn distribute_elements_to_units<'a>(
elements: &'a [ProcessedElement],
units: &[ProcessingUnit],
) -> Vec<Vec<&'a ProcessedElement>> {
let mut unit_elements: Vec<Vec<&ProcessedElement>> = vec![Vec::new(); units.len()];
for element in elements {
for (i, unit) in units.iter().enumerate() {
if unit.intersects_element(element) {
unit_elements[i].push(element);
}
}
}
unit_elements
}
/// Distributes elements to processing units, returning indices instead of references.
///
/// This is useful when elements need to be shared across threads via Arc.
pub fn distribute_elements_to_units_indices(
elements: &[ProcessedElement],
units: &[ProcessingUnit],
) -> Vec<Vec<usize>> {
let mut unit_indices: Vec<Vec<usize>> = vec![Vec::new(); units.len()];
for (idx, element) in elements.iter().enumerate() {
for (i, unit) in units.iter().enumerate() {
if unit.intersects_element(element) {
unit_indices[i].push(idx);
}
}
}
unit_indices
}
/// Global shared data that must be computed once and shared across all processing units.
#[allow(dead_code)]
pub struct GlobalSharedData {
/// Ground/elevation data (must be consistent across boundaries)
pub ground: Arc<Ground>,
/// Building footprints bitmap (prevents trees inside buildings at boundaries)
pub building_footprints: Arc<BuildingFootprintBitmap>,
/// Highway connectivity map (for intersection detection)
pub highway_connectivity: Arc<HighwayConnectivityMap>,
}
/// Statistics from parallel processing.
#[derive(Default)]
#[allow(dead_code)]
pub struct ProcessingStats {
pub total_units: u64,
pub completed_units: AtomicU64,
pub total_elements: u64,
}
impl ProcessingStats {
pub fn new(total_units: usize, total_elements: usize) -> Self {
Self {
total_units: total_units as u64,
completed_units: AtomicU64::new(0),
total_elements: total_elements as u64,
}
}
pub fn increment_completed(&self) -> u64 {
self.completed_units.fetch_add(1, Ordering::SeqCst) + 1
}
#[allow(dead_code)]
pub fn progress_percentage(&self) -> f64 {
let completed = self.completed_units.load(Ordering::SeqCst);
if self.total_units == 0 {
100.0
} else {
(completed as f64 / self.total_units as f64) * 100.0
}
}
}
/// Clips an element to a unit's actual processing bounds (not fetch bounds).
///
/// Returns Some(clipped_element) if the element has any part within the unit's bounds,
/// or None if the element is completely outside.
#[allow(dead_code)]
pub fn clip_element_to_unit(
element: &ProcessedElement,
unit: &ProcessingUnit,
) -> Option<ProcessedElement> {
match element {
ProcessedElement::Node(node) => {
// Nodes are either fully inside or outside
if node.x >= unit.min_x
&& node.x <= unit.max_x
&& node.z >= unit.min_z
&& node.z <= unit.max_z
{
Some(element.clone())
} else {
None
}
}
ProcessedElement::Way(way) => {
// For ways, we keep the full way but let the WorldEditor handle bounds checking
// This ensures deterministic RNG produces the same results regardless of clipping
// The WorldEditor.set_block() already checks bounds via xzbbox.contains()
let (min_x, max_x, min_z, max_z) = way_bbox(&way.nodes);
// Check if way intersects unit bounds
if max_x < unit.min_x
|| min_x > unit.max_x
|| max_z < unit.min_z
|| min_z > unit.max_z
{
return None;
}
Some(element.clone())
}
ProcessedElement::Relation(_rel) => {
// For relations, similar approach - keep full relation for consistent processing
let (min_x, max_x, min_z, max_z) = element_bbox(element);
// Check if relation intersects unit bounds
if max_x < unit.min_x
|| min_x > unit.max_x
|| max_z < unit.min_z
|| min_z > unit.max_z
{
return None;
}
Some(element.clone())
}
}
}
/// Clips a collection of elements to a unit's bounds.
#[allow(dead_code)]
pub fn clip_elements_to_unit(
elements: &[&ProcessedElement],
unit: &ProcessingUnit,
) -> Vec<ProcessedElement> {
elements
.iter()
.filter_map(|e| clip_element_to_unit(e, unit))
.collect()
}
/// Calculates the number of parallel threads to use.
pub fn calculate_parallel_threads(requested: usize) -> usize {
let available = std::thread::available_parallelism()
.map(|n| n.get())
.unwrap_or(4);
if requested == 0 {
// Default: use all but one core
available.saturating_sub(1).max(1)
} else {
// Use requested amount, capped at available
requested.min(available).max(1)
}
}
/// Configuration for parallel processing
pub struct ParallelConfig {
/// Number of threads to use (0 = auto, uses available - 1)
pub num_threads: usize,
/// Buffer in blocks around each unit for element fetching
pub buffer_blocks: i32,
/// Whether to use parallel processing (false = sequential for debugging)
pub enabled: bool,
/// Number of regions to batch per unit (1 = single region, 2 = 2x2 = 4 regions)
pub region_batch_size: usize,
}
impl Default for ParallelConfig {
fn default() -> Self {
Self {
num_threads: 0, // Auto-detect
buffer_blocks: 64, // Buffer for boundary elements
enabled: true,
region_batch_size: 2, // 2x2=4 regions per unit - optimal balance
}
}
}
impl ParallelConfig {
pub fn sequential() -> Self {
Self {
enabled: false,
..Default::default()
}
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::coordinate_system::cartesian::xzbbox::rectangle::XZBBoxRect;
fn make_test_bbox(min_x: i32, max_x: i32, min_z: i32, max_z: i32) -> XZBBox {
XZBBox::Rect(
XZBBoxRect::new(XZPoint::new(min_x, min_z), XZPoint::new(max_x, max_z)).unwrap(),
)
}
#[test]
fn test_processing_unit_creation() {
let global_bbox = make_test_bbox(0, 1023, 0, 1023);
let unit = ProcessingUnit::new(0, 0, &global_bbox, 64);
assert_eq!(unit.region_x, 0);
assert_eq!(unit.region_z, 0);
assert_eq!(unit.min_x, 0);
assert_eq!(unit.max_x, 511);
assert_eq!(unit.min_z, 0);
assert_eq!(unit.max_z, 511);
// Fetch bounds should be clamped to global bbox
assert_eq!(unit.fetch_min_x, 0); // Can't go below 0
assert_eq!(unit.fetch_max_x, 575); // 511 + 64
assert_eq!(unit.fetch_min_z, 0);
assert_eq!(unit.fetch_max_z, 575);
}
#[test]
fn test_compute_processing_units() {
// A 2x2 region area
let global_bbox = make_test_bbox(0, 1023, 0, 1023);
let units = compute_processing_units(&global_bbox, 64, 1);
assert_eq!(units.len(), 4); // 2x2 = 4 regions
}
#[test]
fn test_compute_processing_units_batched() {
// A 2x2 region area with batch size 2 should create 1 unit
let global_bbox = make_test_bbox(0, 1023, 0, 1023);
let units = compute_processing_units(&global_bbox, 64, 2);
assert_eq!(units.len(), 1); // All 4 regions in one batch
}
#[test]
fn test_calculate_parallel_threads() {
// Test default (0 = available - 1)
let threads = calculate_parallel_threads(0);
assert!(threads >= 1);
// Test explicit request
let threads = calculate_parallel_threads(2);
assert!(threads >= 1 && threads <= 2);
}
}

View File

@@ -1,328 +0,0 @@
//! Per-unit processing logic for parallel world generation.
//!
//! This module contains the functions that process a single region unit,
//! generating all the elements within that unit's bounds.
use crate::args::Args;
use crate::block_definitions::{BEDROCK, DIRT, GRASS_BLOCK, STONE};
use crate::coordinate_system::cartesian::XZBBox;
use crate::coordinate_system::geographic::LLBBox;
use crate::data_processing::MIN_Y;
use crate::element_processing::*;
use crate::floodfill_cache::{BuildingFootprintBitmap, FloodFillCache};
use crate::ground::Ground;
use crate::osm_parser::ProcessedElement;
use crate::parallel_processing::ProcessingUnit;
use crate::world_editor::{WorldEditor, WorldFormat};
use std::path::PathBuf;
use std::sync::Arc;
use crate::element_processing::highways::HighwayConnectivityMap;
/// Shared data for unit processing - passed by reference to each unit
#[allow(dead_code)]
pub struct SharedProcessingData {
pub ground: Arc<Ground>,
pub highway_connectivity: Arc<HighwayConnectivityMap>,
pub building_footprints: Arc<BuildingFootprintBitmap>,
pub floodfill_cache: Arc<FloodFillCache>,
pub llbbox: LLBBox,
pub world_dir: PathBuf,
pub format: WorldFormat,
pub level_name: Option<String>,
pub terrain_enabled: bool,
pub ground_level: i32,
pub fill_ground: bool,
pub interior: bool,
pub roof: bool,
pub debug: bool,
pub timeout: Option<std::time::Duration>,
}
/// Process a single unit with element references (no cloning).
/// The caller is responsible for saving and dropping the editor to free memory.
pub fn process_unit_refs<'a>(
unit: &ProcessingUnit,
elements: &[&ProcessedElement],
shared: &SharedProcessingData,
unit_bbox: &'a XZBBox,
args: &Args,
) -> WorldEditor<'a> {
// Create a WorldEditor for just this unit's bounds
let mut editor = WorldEditor::new_with_format_and_name(
shared.world_dir.clone(),
unit_bbox,
shared.llbbox,
shared.format,
shared.level_name.clone(),
None, // Spawn point not set per-unit
);
// Set ground reference for elevation-aware block placement
editor.set_ground(Arc::clone(&shared.ground));
// Process all elements for this unit
for element in elements {
process_element(
&mut editor,
element,
&shared.highway_connectivity,
&shared.floodfill_cache,
&shared.building_footprints,
unit_bbox,
args,
);
}
// Generate ground layer for this unit
generate_ground_for_unit(&mut editor, unit, shared, args);
editor
}
/// Process a single unit and return the WorldEditor with blocks placed.
/// The caller is responsible for saving and dropping the editor to free memory.
#[allow(dead_code)]
pub fn process_unit<'a>(
unit: &ProcessingUnit,
elements: &[ProcessedElement],
shared: &SharedProcessingData,
unit_bbox: &'a XZBBox,
args: &Args,
) -> WorldEditor<'a> {
// Create a WorldEditor for just this unit's bounds
let mut editor = WorldEditor::new_with_format_and_name(
shared.world_dir.clone(),
unit_bbox,
shared.llbbox,
shared.format,
shared.level_name.clone(),
None, // Spawn point not set per-unit
);
// Set ground reference for elevation-aware block placement
editor.set_ground(Arc::clone(&shared.ground));
// Process all elements for this unit
for element in elements {
process_element(
&mut editor,
element,
&shared.highway_connectivity,
&shared.floodfill_cache,
&shared.building_footprints,
unit_bbox,
args,
);
}
// Generate ground layer for this unit
generate_ground_for_unit(&mut editor, unit, shared, args);
editor
}
/// Process a single element, dispatching to the appropriate generator
fn process_element(
editor: &mut WorldEditor,
element: &ProcessedElement,
highway_connectivity: &HighwayConnectivityMap,
flood_fill_cache: &FloodFillCache,
building_footprints: &BuildingFootprintBitmap,
xzbbox: &XZBBox,
args: &Args,
) {
match element {
ProcessedElement::Way(way) => {
if way.tags.contains_key("building") || way.tags.contains_key("building:part") {
buildings::generate_buildings(editor, way, args, None, flood_fill_cache);
} else if way.tags.contains_key("highway") {
highways::generate_highways(
editor,
element,
args,
highway_connectivity,
flood_fill_cache,
);
} else if way.tags.contains_key("landuse") {
landuse::generate_landuse(
editor,
way,
args,
flood_fill_cache,
building_footprints,
);
} else if way.tags.contains_key("natural") {
natural::generate_natural(
editor,
element,
args,
flood_fill_cache,
building_footprints,
);
} else if way.tags.contains_key("amenity") {
amenities::generate_amenities(editor, element, args, flood_fill_cache);
} else if way.tags.contains_key("leisure") {
leisure::generate_leisure(
editor,
way,
args,
flood_fill_cache,
building_footprints,
);
} else if way.tags.contains_key("barrier") {
barriers::generate_barriers(editor, element);
} else if let Some(val) = way.tags.get("waterway") {
if val == "dock" {
water_areas::generate_water_area_from_way(editor, way, xzbbox);
} else {
waterways::generate_waterways(editor, way);
}
} else if way.tags.contains_key("bridge") {
// bridges::generate_bridges(editor, way, ground_level); // TODO FIX
} else if way.tags.contains_key("railway") {
railways::generate_railways(editor, way);
} else if way.tags.contains_key("roller_coaster") {
railways::generate_roller_coaster(editor, way);
} else if way.tags.contains_key("aeroway") || way.tags.contains_key("area:aeroway") {
highways::generate_aeroway(editor, way, args);
} else if way.tags.get("service") == Some(&"siding".to_string()) {
highways::generate_siding(editor, way);
} else if way.tags.contains_key("man_made") {
man_made::generate_man_made(editor, element, args);
}
}
ProcessedElement::Node(node) => {
if node.tags.contains_key("door") || node.tags.contains_key("entrance") {
doors::generate_doors(editor, node);
} else if node.tags.contains_key("natural")
&& node.tags.get("natural") == Some(&"tree".to_string())
{
natural::generate_natural(
editor,
element,
args,
flood_fill_cache,
building_footprints,
);
} else if node.tags.contains_key("amenity") {
amenities::generate_amenities(editor, element, args, flood_fill_cache);
} else if node.tags.contains_key("barrier") {
barriers::generate_barrier_nodes(editor, node);
} else if node.tags.contains_key("highway") {
highways::generate_highways(
editor,
element,
args,
highway_connectivity,
flood_fill_cache,
);
} else if node.tags.contains_key("tourism") {
tourisms::generate_tourisms(editor, node);
} else if node.tags.contains_key("man_made") {
man_made::generate_man_made_nodes(editor, node);
}
}
ProcessedElement::Relation(rel) => {
if rel.tags.contains_key("building") || rel.tags.contains_key("building:part") {
buildings::generate_building_from_relation(editor, rel, args, flood_fill_cache);
} else if rel.tags.contains_key("water")
|| rel
.tags
.get("natural")
.map(|val| val == "water" || val == "bay")
.unwrap_or(false)
{
water_areas::generate_water_areas_from_relation(editor, rel, xzbbox);
} else if rel.tags.contains_key("natural") {
natural::generate_natural_from_relation(
editor,
rel,
args,
flood_fill_cache,
building_footprints,
);
} else if rel.tags.contains_key("landuse") {
landuse::generate_landuse_from_relation(
editor,
rel,
args,
flood_fill_cache,
building_footprints,
);
} else if rel.tags.get("leisure") == Some(&"park".to_string()) {
leisure::generate_leisure_from_relation(
editor,
rel,
args,
flood_fill_cache,
building_footprints,
);
} else if rel.tags.contains_key("man_made") {
man_made::generate_man_made(editor, element, args);
}
}
}
}
/// Generate ground layer (grass, dirt, bedrock) for a unit
fn generate_ground_for_unit(
editor: &mut WorldEditor,
unit: &ProcessingUnit,
shared: &SharedProcessingData,
_args: &Args,
) {
let terrain_enabled = shared.terrain_enabled;
let ground_level = shared.ground_level;
// Process chunk by chunk within this unit for cache locality
let min_chunk_x = unit.min_x >> 4;
let max_chunk_x = unit.max_x >> 4;
let min_chunk_z = unit.min_z >> 4;
let max_chunk_z = unit.max_z >> 4;
for chunk_x in min_chunk_x..=max_chunk_x {
for chunk_z in min_chunk_z..=max_chunk_z {
// Calculate the block range for this chunk, clamped to unit bounds
let chunk_min_x = (chunk_x << 4).max(unit.min_x);
let chunk_max_x = ((chunk_x << 4) + 15).min(unit.max_x);
let chunk_min_z = (chunk_z << 4).max(unit.min_z);
let chunk_max_z = ((chunk_z << 4) + 15).min(unit.max_z);
for x in chunk_min_x..=chunk_max_x {
for z in chunk_min_z..=chunk_max_z {
let ground_y = if terrain_enabled {
editor.get_ground_level(x, z)
} else {
ground_level
};
// Add default dirt and grass layer if there isn't a stone layer already
if !editor.check_for_block_absolute(x, ground_y, z, Some(&[STONE]), None) {
editor.set_block_absolute(GRASS_BLOCK, x, ground_y, z, None, None);
editor.set_block_absolute(DIRT, x, ground_y - 1, z, None, None);
editor.set_block_absolute(DIRT, x, ground_y - 2, z, None, None);
}
// Fill underground with stone if enabled
if shared.fill_ground {
editor.fill_blocks_absolute(
STONE,
x,
MIN_Y + 1,
z,
x,
ground_y - 3,
z,
None,
None,
);
}
// Generate bedrock at MIN_Y
editor.set_block_absolute(BEDROCK, x, MIN_Y, z, None, Some(&[BEDROCK]));
}
}
}
}
}

View File

@@ -27,7 +27,7 @@ pub(crate) struct Chunk {
}
/// Section within a chunk (16x16x16 blocks)
#[derive(Serialize, Deserialize, Clone)]
#[derive(Serialize, Deserialize)]
pub(crate) struct Section {
pub block_states: Blockstates,
#[serde(rename = "Y")]
@@ -37,7 +37,7 @@ pub(crate) struct Section {
}
/// Block states within a section
#[derive(Serialize, Deserialize, Clone)]
#[derive(Serialize, Deserialize)]
pub(crate) struct Blockstates {
pub palette: Vec<PaletteItem>,
pub data: Option<LongArray>,
@@ -46,7 +46,7 @@ pub(crate) struct Blockstates {
}
/// Palette item for block state encoding
#[derive(Serialize, Deserialize, Clone)]
#[derive(Serialize, Deserialize)]
pub(crate) struct PaletteItem {
#[serde(rename = "Name")]
pub name: String,

View File

@@ -15,24 +15,7 @@ use rayon::prelude::*;
use std::collections::HashMap;
use std::fs::File;
use std::io::Write;
use std::sync::{atomic::{AtomicU64, Ordering}, OnceLock};
/// Cached base chunk sections (grass at Y=-62)
/// Only computed once and reused for all empty chunks
static BASE_CHUNK_SECTIONS: OnceLock<Vec<Section>> = OnceLock::new();
/// Get or create the cached base chunk sections
fn get_base_chunk_sections() -> &'static [Section] {
BASE_CHUNK_SECTIONS.get_or_init(|| {
let mut chunk = ChunkToModify::default();
for x in 0..16 {
for z in 0..16 {
chunk.set_block(x, -62, z, GRASS_BLOCK);
}
}
chunk.sections().collect()
})
}
use std::sync::atomic::{AtomicU64, Ordering};
#[cfg(feature = "gui")]
use crate::telemetry::{send_log, LogLevel};
@@ -64,23 +47,32 @@ impl<'a> WorldEditor<'a> {
}
/// Helper function to create a base chunk with grass blocks at Y -62
/// Uses cached sections for efficiency - only serialization happens per chunk
pub(super) fn create_base_chunk(abs_chunk_x: i32, abs_chunk_z: i32) -> (Vec<u8>, bool) {
// Use cached sections (computed once)
let sections = get_base_chunk_sections();
let mut chunk = ChunkToModify::default();
// Fill the bottom layer with grass blocks at Y -62
for x in 0..16 {
for z in 0..16 {
chunk.set_block(x, -62, z, GRASS_BLOCK);
}
}
// Prepare chunk data
let chunk_data = Chunk {
sections: sections.to_vec(),
sections: chunk.sections().collect(),
x_pos: abs_chunk_x,
z_pos: abs_chunk_z,
is_light_on: 0,
other: FnvHashMap::default(),
other: chunk.other,
};
// Create the Level wrapper
let level_data = create_level_wrapper(&chunk_data);
// Serialize the chunk with Level wrapper
let mut ser_buffer = Vec::with_capacity(8192);
fastnbt::to_writer(&mut ser_buffer, &level_data).unwrap();
(ser_buffer, true)
}
@@ -134,19 +126,6 @@ impl<'a> WorldEditor<'a> {
save_pb.finish();
}
/// Saves the world silently without progress messages (for parallel unit processing).
pub(super) fn save_java_silent(&mut self) {
// Save all regions without progress output
// With batch_size=2, each unit should have at most 4 regions (2x2)
let region_count = self.world.regions.len();
if region_count > 4 {
eprintln!("BUG: Unit has {} regions (max expected: 4 for batch_size=2)", region_count);
}
for ((region_x, region_z), region_to_modify) in &self.world.regions {
self.save_single_region(*region_x, *region_z, region_to_modify);
}
}
/// Saves a single region to disk.
///
/// This is extracted to allow streaming mode to save and release regions one at a time.
@@ -161,16 +140,79 @@ impl<'a> WorldEditor<'a> {
for (&(chunk_x, chunk_z), chunk_to_modify) in &region_to_modify.chunks {
if !chunk_to_modify.sections.is_empty() || !chunk_to_modify.other.is_empty() {
// Create new chunk directly - we're writing to a fresh region file
// so there's no existing data to preserve
let chunk = Chunk {
sections: chunk_to_modify.sections().collect(),
x_pos: chunk_x + (region_x * 32),
z_pos: chunk_z + (region_z * 32),
is_light_on: 0,
other: chunk_to_modify.other.clone(),
// Read existing chunk data if it exists
let existing_data = region
.read_chunk(chunk_x as usize, chunk_z as usize)
.unwrap()
.unwrap_or_default();
// Parse existing chunk or create new one
let mut chunk: Chunk = if !existing_data.is_empty() {
fastnbt::from_bytes(&existing_data).unwrap()
} else {
Chunk {
sections: Vec::new(),
x_pos: chunk_x + (region_x * 32),
z_pos: chunk_z + (region_z * 32),
is_light_on: 0,
other: FnvHashMap::default(),
}
};
// Update sections while preserving existing data
let new_sections: Vec<Section> = chunk_to_modify.sections().collect();
for new_section in new_sections {
if let Some(existing_section) =
chunk.sections.iter_mut().find(|s| s.y == new_section.y)
{
// Merge block states
existing_section.block_states.palette = new_section.block_states.palette;
existing_section.block_states.data = new_section.block_states.data;
} else {
// Add new section if it doesn't exist
chunk.sections.push(new_section);
}
}
// Preserve existing block entities and merge with new ones
if let Some(existing_entities) = chunk.other.get_mut("block_entities") {
if let Some(new_entities) = chunk_to_modify.other.get("block_entities") {
if let (Value::List(existing), Value::List(new)) =
(existing_entities, new_entities)
{
// Remove old entities that are replaced by new ones
existing.retain(|e| {
if let Value::Compound(map) = e {
let (x, y, z) = get_entity_coords(map);
!new.iter().any(|new_e| {
if let Value::Compound(new_map) = new_e {
let (nx, ny, nz) = get_entity_coords(new_map);
x == nx && y == ny && z == nz
} else {
false
}
})
} else {
true
}
});
// Add new entities
existing.extend(new.clone());
}
}
} else {
// If no existing entities, just add the new ones
if let Some(new_entities) = chunk_to_modify.other.get("block_entities") {
chunk
.other
.insert("block_entities".to_string(), new_entities.clone());
}
}
// Update chunk coordinates and flags
chunk.x_pos = chunk_x + (region_x * 32);
chunk.z_pos = chunk_z + (region_z * 32);
// Create Level wrapper and save
let level_data = create_level_wrapper(&chunk);
ser_buffer.clear();
@@ -181,28 +223,16 @@ impl<'a> WorldEditor<'a> {
}
}
// Second pass: ensure all chunks within world bounds exist
// Only write base chunks for chunks that are within the actual world bounding box
let world_min_chunk_x = self.xzbbox.min_x() >> 4;
let world_max_chunk_x = self.xzbbox.max_x() >> 4;
let world_min_chunk_z = self.xzbbox.min_z() >> 4;
let world_max_chunk_z = self.xzbbox.max_z() >> 4;
// Second pass: ensure all chunks exist
for chunk_x in 0..32 {
for chunk_z in 0..32 {
let abs_chunk_x = chunk_x + (region_x * 32);
let abs_chunk_z = chunk_z + (region_z * 32);
// Skip chunks outside the world bounding box
if abs_chunk_x < world_min_chunk_x || abs_chunk_x > world_max_chunk_x ||
abs_chunk_z < world_min_chunk_z || abs_chunk_z > world_max_chunk_z {
continue;
}
// Check if chunk exists in our modifications
let chunk_exists = region_to_modify.chunks.contains_key(&(chunk_x, chunk_z));
// If chunk doesn't exist but is within bounds, create it with base layer
// If chunk doesn't exist, create it with base layer
if !chunk_exists {
let (ser_buffer, _) = Self::create_base_chunk(abs_chunk_x, abs_chunk_z);
region
@@ -216,7 +246,6 @@ impl<'a> WorldEditor<'a> {
/// Helper function to get entity coordinates
#[inline]
#[allow(dead_code)]
fn get_entity_coords(entity: &HashMap<String, Value>) -> (i32, i32, i32) {
let x = if let Value::Int(x) = entity.get("x").unwrap_or(&Value::Int(0)) {
*x

View File

@@ -516,18 +516,6 @@ impl<'a> WorldEditor<'a> {
}
}
/// Saves regions silently without progress messages (for parallel unit processing).
/// Does not save metadata - call save_metadata() separately if needed.
pub fn save_silent(&mut self) {
match self.format {
WorldFormat::JavaAnvil => self.save_java_silent(),
WorldFormat::BedrockMcWorld => {
// For Bedrock, use normal save since it's not called per-unit
self.save_bedrock();
}
}
}
#[allow(unreachable_code)]
fn save_bedrock(&mut self) {
println!("{} Saving Bedrock world...", "[7/7]".bold());