实验环境#
- Linux 6.9.7-arch1-1 x86_64 unknown
- Python 3.12.4
- httpx 0.27.0
- glibc-2.39+r52+gf8e4623421-1
- mimalloc 2.1.7
- jemalloc 5.3.0-4
- gperftools 2.15-1
测试 Python 代码 t.py
import time
import httpx
import gc
import asyncio
async def make_async_client():
async with httpx.AsyncClient() as client:
await asyncio.sleep(10)
async def main(n):
tasks = []
for _ in range(n):
tasks.append(asyncio.create_task(make_async_client()))
print(f"Creating {n} contexts, sleeping 10 secs")
await asyncio.wait(tasks)
asyncio.run(main(2000))
print("Finished run")
gc.collect()
time.sleep(10)
指标收集及分析脚本 perf.sh
#!/bin/bash
set -e
echo "======== Using ptmalloc ========"
pidstat -r 1 -e python t.py | tee ptmalloc.txt
awk '!/Command/ && /^[0-9]/ { print NR-1, $7, $8 }' ptmalloc.txt > ptmalloc.dat
echo "======== Using mimalloc ========"
LD_PRELOAD=/usr/lib/libmimalloc.so pidstat -r 1 -e python t.py | tee mimalloc.txt
awk '!/Command/ && /^[0-9]/ { print NR-1, $7, $8 }' mimalloc.txt > mimalloc.dat
echo "======== Using jemalloc ========"
LD_PRELOAD=/usr/lib/libjemalloc.so pidstat -r 1 -e python t.py | tee jemalloc.txt
awk '!/Command/ && /^[0-9]/ { print NR-1, $7, $8 }' jemalloc.txt > jemalloc.dat
echo "======== Using tcmalloc ========"
LD_PRELOAD=/usr/lib/libtcmalloc.so pidstat -r 1 -e python t.py | tee tcmalloc.txt
awk '!/Command/ && /^[0-9]/ { print NR-1, $7, $8 }' tcmalloc.txt > tcmalloc.dat
echo "======== Generating image ========"
gnuplot <<- EOF
set terminal pngcairo size 1280,720 enhanced font 'Verdana,12'
set output 'memory_usage.png'
set title 'Memory Usage' font 'Verdana,14'
set xlabel 'Time (seconds)' font 'Verdana,12'
set ylabel 'Memory (KB)' font 'Verdana,12'
set grid
set key outside right top vertical Left reverse noenhanced autotitles nobox
set format y "%.0f" # Disable scientific notation on the Y-axis
# Define line styles with distinct and distinguishable colors for each allocator
set style line 1 lc rgb '#17becf' lt 2 lw 3 # ptmalloc-vsz
set style line 2 lc rgb '#1f77b4' lt 1 lw 3 # ptmalloc-rss
set style line 3 lc rgb '#e87a90' lt 1 lw 3 # mimalloc-vsz
set style line 4 lc rgb '#d62728' lt 1 lw 3 # mimalloc-rss
set style line 5 lc rgb '#86c166' lt 1 lw 3 # jemalloc-vsz
set style line 6 lc rgb '#24936e' lt 1 lw 3 # jemalloc-rss
set style line 7 lc rgb '#b28fce' lt 1 lw 3 # tcmalloc-vsz
set style line 8 lc rgb '#9467bd' lt 1 lw 3 # tcmalloc-rss
plot 'ptmalloc.dat' using 1:2 title 'ptmalloc-vsz' with lines ls 1, \
'ptmalloc.dat' using 1:3 title 'ptmalloc-rss' with linespoints ls 2, \
'mimalloc.dat' using 1:2 title 'mimalloc-vsz' with lines ls 3, \
'mimalloc.dat' using 1:3 title 'mimalloc-rss' with linespoints ls 4, \
'jemalloc.dat' using 1:2 title 'jemalloc-vsz' with lines ls 5, \
'jemalloc.dat' using 1:3 title 'jemalloc-rss' with linespoints ls 6, \
'tcmalloc.dat' using 1:2 title 'tcmalloc-vsz' with lines ls 7, \
'tcmalloc.dat' using 1:3 title 'tcmalloc-rss' with linespoints ls 8
EOF
# ptmalloc
gnuplot <<- EOF
set terminal pngcairo size 1280,720 enhanced font 'Verdana,12'
set output 'ptmalloc_usage.png'
set title 'Memory Usage' font 'Verdana,14'
set xlabel 'Time (seconds)' font 'Verdana,12'
set ylabel 'Memory (KB)' font 'Verdana,12'
set grid
set key outside right top vertical Left reverse noenhanced autotitles nobox
set format y "%.0f" # Disable scientific notation on the Y-axis
# Define line styles with distinct and distinguishable colors for each allocator
set style line 1 lc rgb '#17becf' lt 2 lw 3 # ptmalloc-vsz
set style line 2 lc rgb '#1f77b4' lt 1 lw 3 # ptmalloc-rss
plot 'ptmalloc.dat' using 1:2 title 'ptmalloc-vsz' with lines ls 1, \
'ptmalloc.dat' using 1:3 title 'ptmalloc-rss' with lines ls 2
EOF
# mimalloc
gnuplot <<- EOF
set terminal pngcairo size 1280,720 enhanced font 'Verdana,12'
set output 'mimalloc_usage.png'
set title 'Memory Usage' font 'Verdana,14'
set xlabel 'Time (seconds)' font 'Verdana,12'
set ylabel 'Memory (KB)' font 'Verdana,12'
set grid
set key outside right top vertical Left reverse noenhanced autotitles nobox
set format y "%.0f" # Disable scientific notation on the Y-axis
# Define line styles with distinct and distinguishable colors for each allocator
set style line 3 lc rgb '#e87a90' lt 1 lw 3 # mimalloc-vsz
set style line 4 lc rgb '#d62728' lt 1 lw 3 # mimalloc-rss
plot 'mimalloc.dat' using 1:2 title 'mimalloc-vsz' with lines ls 3, \
'mimalloc.dat' using 1:3 title 'mimalloc-rss' with lines ls 4
EOF
# jemalloc
gnuplot <<- EOF
set terminal pngcairo size 1280,720 enhanced font 'Verdana,12'
set output 'jemalloc_usage.png'
set title 'Memory Usage' font 'Verdana,14'
set xlabel 'Time (seconds)' font 'Verdana,12'
set ylabel 'Memory (KB)' font 'Verdana,12'
set grid
set key outside right top vertical Left reverse noenhanced autotitles nobox
set format y "%.0f" # Disable scientific notation on the Y-axis
# Define line styles with distinct and distinguishable colors for each allocator
set style line 5 lc rgb '#86c166' lt 1 lw 3 # jemalloc-vsz
set style line 6 lc rgb '#24936e' lt 1 lw 3 # jemalloc-rss
plot 'jemalloc.dat' using 1:2 title 'jemalloc-vsz' with lines ls 5, \
'jemalloc.dat' using 1:3 title 'jemalloc-rss' with lines ls 6
EOF
# tcmalloc
gnuplot <<- EOF
set terminal pngcairo size 1280,720 enhanced font 'Verdana,12'
set output 'tcmalloc_usage.png'
set title 'Memory Usage' font 'Verdana,14'
set xlabel 'Time (seconds)' font 'Verdana,12'
set ylabel 'Memory (KB)' font 'Verdana,12'
set grid
set key outside right top vertical Left reverse noenhanced autotitles nobox
set format y "%.0f" # Disable scientific notation on the Y-axis
# Define line styles with distinct and distinguishable colors for each allocator
set style line 7 lc rgb '#b28fce' lt 1 lw 3 # tcmalloc-vsz
set style line 8 lc rgb '#9467bd' lt 1 lw 3 # tcmalloc-rss
plot 'tcmalloc.dat' using 1:2 title 'tcmalloc-vsz' with lines ls 7, \
'tcmalloc.dat' using 1:3 title 'tcmalloc-rss' with lines ls 8
EOF
实验数据整理#
ptmalloc#
Linux 6.9.7-arch1-1 (misaka) 07/14/2024 _x86_64_ (16 CPU)
11:19:33 PM UID PID minflt/s majflt/s VSZ RSS %MEM Command
11:19:34 PM 1000 1371652 42658.00 0.00 192996 181832 0.64 python
11:19:35 PM 1000 1371652 42120.00 0.00 360984 350408 1.23 python
11:19:36 PM 1000 1371652 42675.00 0.00 531352 520776 1.82 python
11:19:37 PM 1000 1371652 42797.00 0.00 703136 691912 2.42 python
11:19:38 PM 1000 1371652 42134.00 0.00 871256 860488 3.01 python
11:19:39 PM 1000 1371652 43097.00 0.00 1044244 1032904 3.61 python
11:19:40 PM 1000 1371652 41693.00 0.00 1210644 1199688 4.20 python
11:19:41 PM 1000 1371652 43110.00 0.00 1382592 1372104 4.80 python
11:19:42 PM 1000 1371652 42101.00 0.00 1551604 1540424 5.39 python
11:19:43 PM 1000 1371652 42716.00 0.00 1722108 1711176 5.98 python
11:19:44 PM 1000 1371652 42269.00 0.00 1891772 1880264 6.58 python
11:19:45 PM 1000 1371652 42609.00 0.00 2061744 2050632 7.17 python
11:19:46 PM 1000 1371652 42382.00 0.00 2230916 2220232 7.76 python
11:19:47 PM 1000 1371652 41985.00 0.00 2399540 2388168 8.35 python
11:19:48 PM 1000 1371652 41882.00 0.00 2566596 2555720 8.94 python
11:19:49 PM 1000 1371652 42507.00 0.00 2737212 2725704 9.53 python
11:19:50 PM 1000 1371652 41967.00 0.00 2904684 2893640 10.12 python
11:19:51 PM 1000 1371652 42338.00 0.00 3074636 3062728 10.71 python
11:19:52 PM 1000 1371652 41857.00 0.00 3241712 3230152 11.30 python
11:19:53 PM 1000 1371652 42472.00 0.00 3411176 3400136 11.89 python
11:19:54 PM 1000 1371652 41825.00 0.00 3579032 3567432 12.48 python
11:19:55 PM 1000 1371652 41078.00 0.00 3743048 3731656 13.05 python
11:19:56 PM 1000 1371652 40901.00 0.00 3907212 3895240 13.62 python
11:19:57 PM 1000 1371652 42574.00 0.00 4077180 4065608 14.22 python
11:19:58 PM 1000 1371652 41831.00 0.00 4244008 4232904 14.80 python
11:19:59 PM 1000 1371652 42326.00 0.00 4413956 4402248 15.39 python
11:20:00 PM 1000 1371652 41624.00 0.00 4580108 4568776 15.98 python
11:20:01 PM 1000 1371652 42549.00 0.00 4750852 4738888 16.57 python
11:20:02 PM 1000 1371652 41809.00 0.00 4917676 4906184 17.16 python
11:20:03 PM 1000 1371652 42026.00 0.00 5085948 5074248 17.74 python
11:20:04 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:05 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:06 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:07 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:08 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:09 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:10 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:11 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:12 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:13 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:14 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:15 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:16 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:17 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:18 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:19 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:20 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:21 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
11:20:22 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
Creating 2000 contexts, sleeping 10 secs
Finished run
11:20:23 PM 1000 1371652 0.00 0.00 5085948 5074248 17.74 python
Average: 1000 1371652 25313.18 0.00 3622178 3610745 12.63 python
mimalloc#
Linux 6.9.7-arch1-1 (misaka) 07/14/2024 _x86_64_ (16 CPU)
11:20:23 PM UID PID minflt/s majflt/s VSZ RSS %MEM Command
11:20:24 PM 1000 1374948 5082.00 0.00 1091020 197580 0.69 python
11:20:25 PM 1000 1374948 207.00 0.00 1091020 376236 1.32 python
11:20:26 PM 1000 1374948 213.00 0.00 1092044 561032 1.96 python
11:20:27 PM 1000 1374948 210.00 0.00 1092044 743800 2.60 python
11:20:28 PM 1000 1374948 225.00 0.00 1093068 924500 3.23 python
11:20:29 PM 1000 1374948 206.00 0.00 2141644 1101104 3.85 python
11:20:30 PM 1000 1374948 204.00 0.00 2142668 1279740 4.48 python
11:20:31 PM 1000 1374948 207.00 0.00 2142668 1458396 5.10 python
11:20:32 PM 1000 1374948 206.00 0.00 2142668 1637040 5.72 python
11:20:33 PM 1000 1374948 203.00 0.00 2143692 1813636 6.34 python
11:20:34 PM 1000 1374948 207.00 0.00 2143692 1994340 6.97 python
11:20:35 PM 1000 1374948 204.00 0.00 3193292 2168884 7.58 python
11:20:36 PM 1000 1374948 219.00 0.00 3193292 2347524 8.21 python
11:20:37 PM 1000 1374948 205.00 0.00 3194316 2524124 8.83 python
11:20:38 PM 1000 1374948 204.00 0.00 3194316 2698668 9.44 python
11:20:39 PM 1000 1374948 203.00 0.00 3195340 2875264 10.05 python
11:20:40 PM 1000 1374948 204.00 0.00 3195340 3053912 10.68 python
11:20:41 PM 1000 1374948 203.00 0.00 4244940 3230620 11.30 python
11:20:42 PM 1000 1374948 223.00 0.00 4244940 3409272 11.92 python
11:20:43 PM 1000 1374948 203.00 0.00 4245964 3585864 12.54 python
11:20:44 PM 1000 1374948 205.00 0.00 4245964 3760412 13.15 python
11:20:45 PM 1000 1374948 201.00 0.00 4246988 3937008 13.77 python
11:20:46 PM 1000 1374948 203.00 0.00 4246988 4111556 14.38 python
11:20:47 PM 1000 1374948 200.00 0.00 5295564 4286096 14.99 python
11:20:48 PM 1000 1374948 208.00 0.00 5296588 4466816 15.62 python
11:20:49 PM 1000 1374948 307.00 0.00 5297612 4633540 16.20 python
11:20:50 PM 1000 1374948 0.00 0.00 5297612 3039052 10.63 python
11:20:51 PM 1000 1374948 0.00 0.00 5297612 1630476 5.70 python
11:20:52 PM 1000 1374948 0.00 0.00 5297612 1433996 5.01 python
11:20:53 PM 1000 1374948 0.00 0.00 5297612 1237388 4.33 python
11:20:54 PM 1000 1374948 0.00 0.00 5297612 1040844 3.64 python
11:20:55 PM 1000 1374948 0.00 0.00 5297612 909708 3.18 python
11:20:56 PM 1000 1374948 0.00 0.00 5297612 713100 2.49 python
11:20:57 PM 1000 1374948 0.00 0.00 5297612 516620 1.81 python
11:20:58 PM 1000 1374948 0.00 0.00 5297612 385420 1.35 python
11:20:59 PM 1000 1374948 0.00 0.00 5297612 187404 0.66 python
11:21:00 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
11:21:01 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
11:21:02 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
11:21:03 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
11:21:04 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
11:21:05 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
11:21:06 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
11:21:07 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
11:21:08 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
11:21:09 PM 1000 1374948 0.00 0.00 5291468 181356 0.63 python
Creating 2000 contexts, sleeping 10 secs
Finished run
Average: 1000 1374948 225.26 0.00 4016054 1654012 5.78 python
jemalloc#
Linux 6.9.7-arch1-1 (misaka) 07/14/2024 _x86_64_ (16 CPU)
11:21:09 PM UID PID minflt/s majflt/s VSZ RSS %MEM Command
11:21:10 PM 1000 1378094 6594.00 0.00 221064 197580 0.69 python
11:21:11 PM 1000 1378094 638.00 0.00 407432 377932 1.32 python
11:21:12 PM 1000 1378094 1055.00 0.00 661384 560004 1.96 python
11:21:13 PM 1000 1378094 326.00 0.00 777096 741160 2.59 python
11:21:14 PM 1000 1378094 1056.00 0.00 1082248 923204 3.23 python
11:21:15 PM 1000 1378094 744.00 0.00 1279880 1097828 3.84 python
11:21:16 PM 1000 1378094 1177.00 0.00 1509256 1278352 4.47 python
11:21:17 PM 1000 1378094 758.00 0.00 1522568 1459212 5.10 python
11:21:18 PM 1000 1378094 1092.00 0.00 1784712 1637292 5.73 python
11:21:19 PM 1000 1378094 1182.00 0.00 2113416 1817780 6.36 python
11:21:20 PM 1000 1378094 901.00 0.00 2127752 1997156 6.98 python
11:21:21 PM 1000 1378094 956.00 0.00 2521992 2176732 7.61 python
11:21:22 PM 1000 1378094 1176.00 0.00 2521992 2355184 8.24 python
11:21:23 PM 1000 1378094 1173.00 0.00 2980744 2533620 8.86 python
11:21:24 PM 1000 1378094 677.00 0.00 2998152 2714176 9.49 python
11:21:25 PM 1000 1378094 1160.00 0.00 2998152 2892556 10.12 python
11:21:26 PM 1000 1378094 1173.00 0.00 3523464 3068880 10.73 python
11:21:27 PM 1000 1378094 1170.00 0.00 3523464 3247308 11.36 python
11:21:28 PM 1000 1378094 821.00 0.00 3544968 3426392 11.98 python
11:21:29 PM 1000 1378094 1010.00 0.00 4200328 3604140 12.60 python
11:21:30 PM 1000 1378094 1171.00 0.00 4201352 3782556 13.23 python
11:21:31 PM 1000 1378094 1165.00 0.00 4201352 3958884 13.84 python
11:21:32 PM 1000 1378094 1171.00 0.00 4202376 4137292 14.47 python
11:21:33 PM 1000 1378094 1130.00 0.00 5013384 4317628 15.10 python
11:21:34 PM 1000 1378094 695.00 0.00 5014408 4494132 15.72 python
11:21:35 PM 1000 1378094 1159.00 0.00 5014408 4670440 16.33 python
11:21:36 PM 1000 1378094 323.00 0.00 5015432 3235940 11.32 python
11:21:37 PM 1000 1378094 0.00 0.00 5015432 2095984 7.33 python
11:21:38 PM 1000 1378094 0.00 0.00 5015432 1919404 6.71 python
11:21:39 PM 1000 1378094 0.00 0.00 5015432 1693456 5.92 python
11:21:40 PM 1000 1378094 0.00 0.00 5015432 1444060 5.05 python
11:21:41 PM 1000 1378094 0.00 0.00 5015432 1182132 4.13 python
11:21:42 PM 1000 1378094 0.00 0.00 5015432 918052 3.21 python
11:21:43 PM 1000 1378094 0.00 0.00 5015432 679028 2.37 python
11:21:44 PM 1000 1378094 0.00 0.00 5015432 449244 1.57 python
11:21:45 PM 1000 1378094 0.00 0.00 5015432 265336 0.93 python
11:21:46 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
11:21:47 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
11:21:48 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
11:21:49 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
11:21:50 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
11:21:51 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
11:21:52 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
11:21:53 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
11:21:54 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
11:21:55 PM 1000 1378094 0.00 0.00 5010312 223924 0.78 python
Creating 2000 contexts, sleeping 10 secs
Finished run
Average: 1000 1378094 687.96 0.00 3700104 1730202 6.05 python
TCMalloc#
Linux 6.9.7-arch1-1 (misaka) 07/14/2024 _x86_64_ (16 CPU)
11:21:55 PM UID PID minflt/s majflt/s VSZ RSS %MEM Command
11:21:56 PM 1000 1381522 42759.00 0.00 203716 188060 0.66 python
11:21:57 PM 1000 1381522 42324.00 0.00 372676 357276 1.25 python
11:21:58 PM 1000 1381522 42469.00 0.00 543684 529136 1.85 python
11:21:59 PM 1000 1381522 42712.00 0.00 713668 699888 2.45 python
11:22:00 PM 1000 1381522 42484.00 0.00 882628 869872 3.04 python
11:22:01 PM 1000 1381522 42172.00 0.00 1059780 1042664 3.65 python
11:22:02 PM 1000 1381522 42444.00 0.00 1228740 1214344 4.25 python
11:22:03 PM 1000 1381522 42485.00 0.00 1399748 1386368 4.85 python
11:22:04 PM 1000 1381522 42341.00 0.00 1568708 1555712 5.44 python
11:22:05 PM 1000 1381522 42002.00 0.00 1736644 1723776 6.03 python
11:22:06 PM 1000 1381522 41966.00 0.00 1904580 1891456 6.61 python
11:22:07 PM 1000 1381522 41774.00 0.00 2080708 2058496 7.20 python
11:22:08 PM 1000 1381522 42256.00 0.00 2247620 2229568 7.80 python
11:22:09 PM 1000 1381522 42268.00 0.00 2417604 2398784 8.39 python
11:22:10 PM 1000 1381522 41126.00 0.00 2581444 2563264 8.96 python
11:22:11 PM 1000 1381522 42153.00 0.00 2749380 2733808 9.56 python
11:22:12 PM 1000 1381522 41899.00 0.00 2917316 2901488 10.15 python
11:22:13 PM 1000 1381522 41946.00 0.00 3085252 3071324 10.74 python
11:22:14 PM 1000 1381522 41687.00 0.00 3261380 3242044 11.34 python
11:22:15 PM 1000 1381522 42076.00 0.00 3429316 3412556 11.93 python
11:22:16 PM 1000 1381522 41748.00 0.00 3597252 3579468 12.52 python
11:22:17 PM 1000 1381522 42576.00 0.00 3767236 3751776 13.12 python
11:22:18 PM 1000 1381522 42035.00 0.00 3935172 3919840 13.71 python
11:22:19 PM 1000 1381522 41681.00 0.00 4102084 4086496 14.29 python
11:22:20 PM 1000 1381522 41743.00 0.00 4276164 4257648 14.89 python
11:22:21 PM 1000 1381522 42056.00 0.00 4444100 4425840 15.48 python
11:22:22 PM 1000 1381522 41730.00 0.00 4611012 4594724 16.07 python
11:22:23 PM 1000 1381522 5521.00 0.00 4633540 4616012 16.14 python
11:22:24 PM 1000 1381522 0.00 0.00 4633540 4614612 16.14 python
11:22:25 PM 1000 1381522 0.00 0.00 4633540 4614452 16.14 python
11:22:26 PM 1000 1381522 0.00 0.00 4633540 4614284 16.14 python
11:22:27 PM 1000 1381522 0.00 0.00 4633540 4614108 16.14 python
11:22:28 PM 1000 1381522 0.00 0.00 4633540 4613924 16.14 python
11:22:29 PM 1000 1381522 0.00 0.00 4633540 4613732 16.13 python
11:22:30 PM 1000 1381522 0.00 0.00 4633540 4613532 16.13 python
11:22:31 PM 1000 1381522 0.00 0.00 4633540 4613324 16.13 python
11:22:32 PM 1000 1381522 0.00 0.00 4633540 4613324 16.13 python
11:22:33 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
11:22:34 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
11:22:35 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
11:22:36 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
11:22:37 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
11:22:38 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
11:22:39 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
11:22:40 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
11:22:41 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
11:22:42 PM 1000 1381522 0.00 0.00 4631492 4611108 16.13 python
Creating 2000 contexts, sleeping 10 secs
Finished run
Average: 1000 1381522 24307.09 0.00 3356765 3339108 11.68 python
tcmalloc 这里可能需要开启后台线程，来调用 tcmalloc::MallocExtension::ReleaseMemoryToSystem
横向对比图#
