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FINALLY add the rest of the graphs with this hellish code

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i will be repenting to the DRY gods for the rest of eternity
This commit is contained in:
askiiart 2024-11-17 23:40:06 -06:00
parent 92ce85cf59
commit 4e20db145e
Signed by untrusted user who does not match committer: askiiart
GPG key ID: EA85979611654C30
8 changed files with 663 additions and 26 deletions
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4
assets/benchmarking-dwarfs/js/declare_vars.js Normal file
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@ -0,0 +1,4 @@
let labels;
let config;
let data;
let ctx;

46
assets/benchmarking-dwarfs/js/rand_latency.js Normal file
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@ -0,0 +1,46 @@
labels = ['Null 25 GiB file', 'Random 25 GiB file', '100 million-sided polygon data', 'Linux LTS kernel', '1024 null files (avg)', '1024 random files (avg)']
data = [
{
label: 'DwarFS',
data: [351.30788, 3513.96, 480.97789, 0.882576, 0.000811, 0.000661],
backgroundColor: 'rgb(255, 99, 132)',
},
{
label: 'fuse-archive (tar)',
data: [0.0, 0.0, 0.0, 0.0, 0.000652, 0.000772],
backgroundColor: 'rgb(75, 192, 192)',
},
{
label: 'Btrfs',
data: [5.51523, 91.13626, 94.05722, 0.949771, 0.000741, 0.0007509999999999999],
backgroundColor: 'rgb(54, 162, 235)',
},
]
config = {
type: 'bar',
data: {
datasets: data,
labels
},
options: {
plugins: {
title: {
display: true,
text: 'Random Read Latency - in ms'
},
},
responsive: true,
interaction: {
intersect: false,
},
}
};
Chart.defaults.borderColor = "#eee"
Chart.defaults.color = "#eee";
ctx = document.getElementById("rand_read_latency_chart");
new Chart(ctx, config);

46
assets/benchmarking-dwarfs/js/rand_read.js Normal file
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@ -0,0 +1,46 @@
labels = ['Null 25 GiB file', 'Random 25 GiB file', '100 million-sided polygon data', 'Linux LTS kernel']
data = [
{
label: 'DwarFS',
data: [0.37114600000000003, 14.15143, 2.95083, 0.001523],
backgroundColor: 'rgb(255, 99, 132)',
},
{
label: 'fuse-archive (tar)',
data: [0.393568, 0.397626, 0.07750499999999999, 0.0012230000000000001],
backgroundColor: 'rgb(75, 192, 192)',
},
{
label: 'Btrfs',
data: [0.027922000000000002, 0.290906, 0.14088399999999998, 0.0013930000000000001],
backgroundColor: 'rgb(54, 162, 235)',
},
]
config = {
type: 'bar',
data: {
datasets: data,
labels
},
options: {
plugins: {
title: {
display: true,
text: 'Random Read Times - in ms'
},
},
responsive: true,
interaction: {
intersect: false,
},
}
};
Chart.defaults.borderColor = "#eee"
Chart.defaults.color = "#eee";
ctx = document.getElementById("rand_read_chart");
new Chart(ctx, config);

14
assets/benchmarking-dwarfs/js/seq_latency.js
View file

@ -1,26 +1,26 @@
const labels = ['Null 25 GiB file', 'Random 25 GiB file', '100 million-sided polygon data', 'Linux LTS kernel', '1024 null files', '1024 random files']
let data = [
labels = ['Null 25 GiB file', 'Random 25 GiB file', '100 million-sided polygon data', 'Linux LTS kernel', '1024 null files (avg)', '1024 random files (avg)']
data = [
{
label: 'DwarFS',
data: [0.37114600000000003, 14.15143, 2.95083, 0.001523, 0.014287000000000001, 0.013595000000000001],
data: [96.32895, 109.78266, 96.3926, 94.55468, 0.014287000000000001, 0.013595000000000001],
backgroundColor: 'rgb(255, 99, 132)',
},
{
label: 'fuse-archive (tar)',
data: [0.393568, 0.397626, 0.07750499999999999, 0.0012230000000000001, 0.013405, 0.013465],
data: [98.66828, 94.52984, 96.61561, 93.25915, 0.013405, 0.013465],
backgroundColor: 'rgb(75, 192, 192)',
},
{
label: 'Btrfs',
data: [0.027922000000000002, 0.290906, 0.14088399999999998, 0.0013930000000000001, 0.0032860000000000003, 0.003326],
data: [96.79632, 97.642, 98.92292, 91.41823, 0.0032860000000000003, 0.003326],
backgroundColor: 'rgb(54, 162, 235)',
},
]
let config = {
config = {
type: 'bar',
data: {
datasets: data,
@ -42,5 +42,5 @@ let data = [
Chart.defaults.borderColor = "#eee"
Chart.defaults.color = "#eee";
let ctx = document.getElementById("seq_read_latency_chart");
ctx = document.getElementById("seq_read_latency_chart");
new Chart(ctx, config);

46
assets/benchmarking-dwarfs/js/seq_read.js Normal file
View file

@ -0,0 +1,46 @@
labels = ['Null 25 GiB file', 'Random 25 GiB file', '100 million-sided polygon data', 'Linux LTS kernel', '1024 null files (avg)', '1024 random files (avg)']
data = [
{
label: 'DwarFS',
data: [12.8049, 40.71916, 19.11096, 0.16075466, 0.000945113, 3.6729e-05],
backgroundColor: 'rgb(255, 99, 132)',
},
{
label: 'fuse-archive (tar)',
data: [24.88932, 24.84052, 26.63768, 0.121502, 4.131799999999999e-05, 1.6571e-05],
backgroundColor: 'rgb(75, 192, 192)',
},
{
label: 'Btrfs',
data: [25.5482, 16.91976, 17.98264, 0.08859571, 6.873e-06, 6.432e-06],
backgroundColor: 'rgb(54, 162, 235)',
},
]
config = {
type: 'bar',
data: {
datasets: data,
labels
},
options: {
plugins: {
title: {
display: true,
text: 'Sequential Read Times - in s'
},
},
responsive: true,
interaction: {
intersect: false,
},
}
};
Chart.defaults.borderColor = "#eee"
Chart.defaults.color = "#eee";
ctx = document.getElementById("seq_read_chart");
new Chart(ctx, config);

495
assets/benchmarking-dwarfs/process-data.py
View file

@ -25,9 +25,9 @@ class HelperFunctions:
elif filename.startswith('kernel'):
return 'Linux LTS kernel'
elif filename == 'small-files/random':
return '1024 random files'
return '1024 random files (avg)'
elif filename == 'small-files/null':
return '1024 null files'
return '1024 null files (avg)'
def convert_time(time: str, unit: str) -> int:
unit_exponents = ['ns', 'µs', 'ms', 's']
@ -62,10 +62,10 @@ def get_seq_latency_data() -> tuple:
'labels'
] else False
try:
datasets[fs].append(line[3])
datasets[fs].append(line[4])
except KeyError:
datasets[fs] = []
datasets[fs].append(line[3])
datasets[fs].append(line[4])
# NOTE: this will break if the bulk data contains a larger unit than the single file data, but that's unlikely to happen so I'm not gonna deal with it
largest_time_unit = 'ns'
@ -73,6 +73,8 @@ def get_seq_latency_data() -> tuple:
if key == 'labels':
continue
for item in datasets[key]:
if largest_time_unit == 's':
break
if item.endswith('ms'):
largest_time_unit = 'ms'
elif item.endswith('µs') and largest_time_unit != 'ms':
@ -83,7 +85,7 @@ def get_seq_latency_data() -> tuple:
and largest_time_unit != 'µs'
):
largest_time_unit = 'ns'
elif re.sub('[0-9]', '', item) == 's':
elif re.sub('[0-9]\\.', '', item) == 's':
largest_time_unit = 's'
break
@ -106,6 +108,8 @@ def get_seq_latency_data() -> tuple:
] else False
for item in line[3:]:
if largest_time_unit == 's':
break
if item.endswith('ms'):
largest_time_unit = 'ms'
elif item.endswith('µs') and largest_time_unit != 'ms':
@ -116,7 +120,7 @@ def get_seq_latency_data() -> tuple:
and largest_time_unit != 'µs'
):
largest_time_unit = 'ns'
elif re.sub('[0-9]', '', item) == 's':
elif re.sub('[0-9]\\.', '', item) == 's':
largest_time_unit = 's'
break
@ -127,6 +131,7 @@ def get_seq_latency_data() -> tuple:
return (datasets, largest_time_unit)
def seq_latency():
with open('assets/benchmarking-dwarfs/js/seq_latency.js', 'wt') as f:
# from https://github.com/chartjs/Chart.js/blob/master/docs/scripts/utils.js (CHART_COLORS)
@ -141,8 +146,7 @@ def seq_latency():
"'rgb(201, 203, 207)'", # grey
]
#print('Sequential latency:')
labels_code = 'const labels = $labels$'
labels_code = 'labels = $labels$'
dataset_code = '''
{
label: '$label$',
@ -152,7 +156,7 @@ def seq_latency():
'''
config_code = '''
let config = {
config = {
type: 'bar',
data: {
datasets: data,
@ -177,7 +181,7 @@ def seq_latency():
labels_code = labels_code.replace('$labels$', format(data['labels']))
f.write(labels_code)
data.pop('labels')
f.write('\nlet data = [')
f.write('\ndata = [')
for fs in data.keys():
f.write(
dataset_code.replace('$label$', fs)
@ -188,22 +192,479 @@ def seq_latency():
title = 'Sequential Read Latency'
f.write(
config_code.replace('$title$', title).replace('$timeunit$', largest_time_unit)
config_code.replace('$title$', title).replace(
'$timeunit$', largest_time_unit
)
)
f.write('\nChart.defaults.borderColor = "#eee"\n')
f.write('Chart.defaults.color = "#eee";\n')
f.write('let ctx = document.getElementById("seq_read_latency_chart");\n')
f.write('ctx = document.getElementById("seq_read_latency_chart");\n')
f.write('new Chart(ctx, config);\n')
def singles():
pass
def get_rand_latency_data() -> tuple:
# format: { 'labels': ['btrfs'], 'btrfs': [9, 8, 4, 6]}
datasets = {'labels': []}
with open('assets/benchmarking-dwarfs/data/benchmark-data.csv', 'rt') as f:
for line in csv.reader(f):
fs = HelperFunctions.get_fs(line[0])
label = HelperFunctions.get_label(line[1])
datasets['labels'].append(label) if label not in datasets[
'labels'
] else False
try:
datasets[fs].append(line[5])
except KeyError:
datasets[fs] = []
datasets[fs].append(line[5])
# NOTE: this will break if the bulk data contains a larger unit than the single file data, but that's unlikely to happen so I'm not gonna deal with it
largest_time_unit = 'ns'
for key in datasets.keys():
if key == 'labels':
continue
for item in datasets[key]:
if largest_time_unit == 's':
break
if item.endswith('ms'):
largest_time_unit = 'ms'
elif item.endswith('µs') and largest_time_unit != 'ms':
largest_time_unit = 'µs'
elif (
item.endswith('ns')
and largest_time_unit != 'ms'
and largest_time_unit != 'µs'
):
largest_time_unit = 'ns'
elif re.sub('[0-9]\\.', '', item) == 's':
largest_time_unit = 's'
break
for key in datasets.keys():
if key == 'labels':
continue
for i in range(len(datasets[key])):
datasets[key][i] = HelperFunctions.convert_time(
datasets[key][i], largest_time_unit
)
with open('assets/benchmarking-dwarfs/data/bulk.csv', 'rt') as f:
for line in csv.reader(f):
if line[2] != 'bulk_random_read_latency':
continue
fs = HelperFunctions.get_fs(line[0])
label = HelperFunctions.get_label(line[1])
datasets['labels'].append(label) if label not in datasets[
'labels'
] else False
for item in line[3:]:
if largest_time_unit == 's':
break
if item.endswith('ms'):
largest_time_unit = 'ms'
elif item.endswith('µs') and largest_time_unit != 'ms':
largest_time_unit = 'µs'
elif (
item.endswith('ns')
and largest_time_unit != 'ms'
and largest_time_unit != 'µs'
):
largest_time_unit = 'ns'
elif re.sub('[0-9]\\.', '', item) == 's':
largest_time_unit = 's'
break
for i in range(len(line[3:])):
line[i + 3] = HelperFunctions.convert_time(item, largest_time_unit)
datasets[fs].append(sum(line[3:]) / len(line[3:]))
return (datasets, largest_time_unit)
def bulk():
pass
def rand_latency():
with open('assets/benchmarking-dwarfs/js/rand_latency.js', 'wt') as f:
# from https://github.com/chartjs/Chart.js/blob/master/docs/scripts/utils.js (CHART_COLORS)
# modified so similar color aren't adjacent
chart_colors = [
"'rgb(255, 99, 132)'", # red
"'rgb(75, 192, 192)'", # green
"'rgb(54, 162, 235)'", # blue
"'rgb(255, 159, 64)'", # orange
"'rgb(153, 102, 255)'", # purple
"'rgb(255, 205, 86)'", # yellow
"'rgb(201, 203, 207)'", # grey
]
labels_code = 'labels = $labels$'
dataset_code = '''
{
label: '$label$',
data: $data$,
backgroundColor: $color$,
},
'''
config_code = '''
config = {
type: 'bar',
data: {
datasets: data,
labels
},
options: {
plugins: {
title: {
display: true,
text: '$title$ - in $timeunit$'
},
},
responsive: true,
interaction: {
intersect: false,
},
}
};
'''
data, largest_time_unit = get_rand_latency_data()
labels_code = labels_code.replace('$labels$', format(data['labels']))
f.write(labels_code)
data.pop('labels')
f.write('\ndata = [')
for fs in data.keys():
f.write(
dataset_code.replace('$label$', fs)
.replace('$data$', format(data[fs]))
.replace('$color$', format(chart_colors[list(data.keys()).index(fs)]))
)
f.write('\n]\n')
title = 'Random Read Latency'
f.write(
config_code.replace('$title$', title).replace(
'$timeunit$', largest_time_unit
)
)
f.write('\nChart.defaults.borderColor = "#eee"\n')
f.write('Chart.defaults.color = "#eee";\n')
f.write('ctx = document.getElementById("rand_read_latency_chart");\n')
f.write('new Chart(ctx, config);\n')
def get_seq_read_data() -> tuple:
# format: { 'labels': ['btrfs'], 'btrfs': [9, 8, 4, 6]}
datasets = {'labels': []}
with open('assets/benchmarking-dwarfs/data/benchmark-data.csv', 'rt') as f:
for line in csv.reader(f):
fs = HelperFunctions.get_fs(line[0])
label = HelperFunctions.get_label(line[1])
datasets['labels'].append(label) if label not in datasets[
'labels'
] else False
try:
datasets[fs].append(line[2])
except KeyError:
datasets[fs] = []
datasets[fs].append(line[2])
# NOTE: this will break if the bulk data contains a larger unit than the single file data, but that's unlikely to happen so I'm not gonna deal with it
# and it's a bit broken regardless but whatever
largest_time_unit = 'ns'
for key in datasets.keys():
if key == 'labels':
continue
for item in datasets[key]:
if largest_time_unit == 's':
break
if item.endswith('ms'):
largest_time_unit = 'ms'
elif item.endswith('µs') and largest_time_unit != 'ms':
largest_time_unit = 'µs'
elif (
item.endswith('ns')
and largest_time_unit != 'ms'
and largest_time_unit != 'µs'
):
largest_time_unit = 'ns'
elif re.sub('[0-9\\.]', '', item) == 's':
largest_time_unit = 's'
break
for key in datasets.keys():
if key == 'labels':
continue
for i in range(len(datasets[key])):
datasets[key][i] = HelperFunctions.convert_time(
datasets[key][i], largest_time_unit
)
with open('assets/benchmarking-dwarfs/data/bulk.csv', 'rt') as f:
for line in csv.reader(f):
if line[2] != 'bulk_sequential_read':
continue
fs = HelperFunctions.get_fs(line[0])
label = HelperFunctions.get_label(line[1])
datasets['labels'].append(label) if label not in datasets[
'labels'
] else False
for item in line[3:]:
if largest_time_unit == 's':
break
if item.endswith('ms'):
largest_time_unit = 'ms'
elif item.endswith('µs') and largest_time_unit != 'ms':
largest_time_unit = 'µs'
elif (
item.endswith('ns')
and largest_time_unit != 'ms'
and largest_time_unit != 'µs'
):
largest_time_unit = 'ns'
elif re.sub('[0-9]\\.', '', item) == 's':
largest_time_unit = 's'
break
for i in range(len(line[3:])):
line[i + 3] = HelperFunctions.convert_time(item, largest_time_unit)
datasets[fs].append(sum(line[3:]) / len(line[3:]))
return (datasets, largest_time_unit)
def seq_read():
with open('assets/benchmarking-dwarfs/js/seq_read.js', 'wt') as f:
# from https://github.com/chartjs/Chart.js/blob/master/docs/scripts/utils.js (CHART_COLORS)
# modified so similar color aren't adjacent
chart_colors = [
"'rgb(255, 99, 132)'", # red
"'rgb(75, 192, 192)'", # green
"'rgb(54, 162, 235)'", # blue
"'rgb(255, 159, 64)'", # orange
"'rgb(153, 102, 255)'", # purple
"'rgb(255, 205, 86)'", # yellow
"'rgb(201, 203, 207)'", # grey
]
labels_code = 'labels = $labels$'
dataset_code = '''
{
label: '$label$',
data: $data$,
backgroundColor: $color$,
},
'''
config_code = '''
config = {
type: 'bar',
data: {
datasets: data,
labels
},
options: {
plugins: {
title: {
display: true,
text: '$title$ - in $timeunit$'
},
},
responsive: true,
interaction: {
intersect: false,
},
}
};
'''
data, largest_time_unit = get_seq_read_data()
labels_code = labels_code.replace('$labels$', format(data['labels']))
f.write(labels_code)
data.pop('labels')
f.write('\ndata = [')
for fs in data.keys():
f.write(
dataset_code.replace('$label$', fs)
.replace('$data$', format(data[fs]))
.replace('$color$', format(chart_colors[list(data.keys()).index(fs)]))
)
f.write('\n]\n')
title = 'Sequential Read Times'
f.write(
config_code.replace('$title$', title).replace(
'$timeunit$', largest_time_unit
)
)
f.write('\nChart.defaults.borderColor = "#eee"\n')
f.write('Chart.defaults.color = "#eee";\n')
f.write('ctx = document.getElementById("seq_read_chart");\n')
f.write('new Chart(ctx, config);\n')
def get_rand_read_data() -> tuple:
# format: { 'labels': ['btrfs'], 'btrfs': [9, 8, 4, 6]}
datasets = {'labels': []}
with open('assets/benchmarking-dwarfs/data/benchmark-data.csv', 'rt') as f:
for line in csv.reader(f):
fs = HelperFunctions.get_fs(line[0])
label = HelperFunctions.get_label(line[1])
datasets['labels'].append(label) if label not in datasets[
'labels'
] else False
try:
datasets[fs].append(line[3])
except KeyError:
datasets[fs] = []
datasets[fs].append(line[3])
# NOTE: this will break if the bulk data contains a larger unit than the single file data, but that's unlikely to happen so I'm not gonna deal with it
# and it's a bit broken regardless but whatever
largest_time_unit = 'ns'
for key in datasets.keys():
if key == 'labels':
continue
for item in datasets[key]:
if largest_time_unit == 's':
break
if item.endswith('ms'):
largest_time_unit = 'ms'
elif item.endswith('µs') and largest_time_unit != 'ms':
largest_time_unit = 'µs'
elif (
item.endswith('ns')
and largest_time_unit != 'ms'
and largest_time_unit != 'µs'
):
largest_time_unit = 'ns'
elif re.sub('[0-9\\.]', '', item) == 's':
largest_time_unit = 's'
break
for key in datasets.keys():
if key == 'labels':
continue
for i in range(len(datasets[key])):
datasets[key][i] = HelperFunctions.convert_time(
datasets[key][i], largest_time_unit
)
with open('assets/benchmarking-dwarfs/data/bulk.csv', 'rt') as f:
for line in csv.reader(f):
if line[2] != 'bulk_random_read':
continue
fs = HelperFunctions.get_fs(line[0])
label = HelperFunctions.get_label(line[1])
datasets['labels'].append(label) if label not in datasets[
'labels'
] else False
for item in line[3:]:
if largest_time_unit == 's':
break
if item.endswith('ms'):
largest_time_unit = 'ms'
elif item.endswith('µs') and largest_time_unit != 'ms':
largest_time_unit = 'µs'
elif (
item.endswith('ns')
and largest_time_unit != 'ms'
and largest_time_unit != 'µs'
):
largest_time_unit = 'ns'
elif re.sub('[0-9]\\.', '', item) == 's':
largest_time_unit = 's'
break
for i in range(len(line[3:])):
line[i + 3] = HelperFunctions.convert_time(item, largest_time_unit)
datasets[fs].append(sum(line[3:]) / len(line[3:]))
return (datasets, largest_time_unit)
def rand_read():
with open('assets/benchmarking-dwarfs/js/rand_read.js', 'wt') as f:
# from https://github.com/chartjs/Chart.js/blob/master/docs/scripts/utils.js (CHART_COLORS)
# modified so similar color aren't adjacent
chart_colors = [
"'rgb(255, 99, 132)'", # red
"'rgb(75, 192, 192)'", # green
"'rgb(54, 162, 235)'", # blue
"'rgb(255, 159, 64)'", # orange
"'rgb(153, 102, 255)'", # purple
"'rgb(255, 205, 86)'", # yellow
"'rgb(201, 203, 207)'", # grey
]
labels_code = 'labels = $labels$'
dataset_code = '''
{
label: '$label$',
data: $data$,
backgroundColor: $color$,
},
'''
config_code = '''
config = {
type: 'bar',
data: {
datasets: data,
labels
},
options: {
plugins: {
title: {
display: true,
text: '$title$ - in $timeunit$'
},
},
responsive: true,
interaction: {
intersect: false,
},
}
};
'''
data, largest_time_unit = get_rand_read_data()
labels_code = labels_code.replace('$labels$', format(data['labels']))
f.write(labels_code)
data.pop('labels')
f.write('\ndata = [')
for fs in data.keys():
f.write(
dataset_code.replace('$label$', fs)
.replace('$data$', format(data[fs]))
.replace('$color$', format(chart_colors[list(data.keys()).index(fs)]))
)
f.write('\n]\n')
title = 'Random Read Times'
f.write(
config_code.replace('$title$', title).replace(
'$timeunit$', largest_time_unit
)
)
f.write('\nChart.defaults.borderColor = "#eee"\n')
f.write('Chart.defaults.color = "#eee";\n')
f.write('ctx = document.getElementById("rand_read_chart");\n')
f.write('new Chart(ctx, config);\n')
if __name__ == '__main__':
seq_latency()
# NOTE: this code is absolutely horrible and all these functions (except declare_vars) should be one function that just takes the title, chart canvas id, filename, test name in bulk, and index in singles
# i will repent to the DRY gods someday
seq_read()
rand_read()
seq_latency()
rand_latency()

19
blog/benchmarking-dwarfs.html
View file

@ -93,13 +93,25 @@
script</a> to make it a bit easier, I put the resulting graphs
in here ↓</p>
<h3 id="sequential-read">Sequential read</h3>
<div>
<canvas id="seq_read_chart" class="chart">
</canvas>
</div>
<h3 id="random-read">Random read</h3>
<div>
<canvas id="rand_read_chart" class="chart">
</canvas>
</div>
<h3 id="sequential-read-latency">Sequential read latency</h3>
<div>
<canvas id="seq_read_latency_chart" class="chart">
</canvas>
</div>
<h3 id="random-read-latency">Random read latency</h3>
<div>
<canvas id="rand_read_latency_chart" class="chart">
</canvas>
</div>
<p>The FUSE-based filesystems run into a bit of trouble here -
with incompressible data, DwarFS has a hard time keeping up for
some reason, despite keeping up just fine with larger random
@ -127,7 +139,11 @@
<h2 id="footnotes">Footnotes</h2>
<!-- JavaScript for graphs goes hereeeeeee -->
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<script src="/assets/benchmarking-dwarfs/js/declare_vars.js"></script>
<script src="/assets/benchmarking-dwarfs/js/seq_read.js"></script>
<script src="/assets/benchmarking-dwarfs/js/rand_read.js"></script>
<script src="/assets/benchmarking-dwarfs/js/seq_latency.js"></script>
<script src="/assets/benchmarking-dwarfs/js/rand_latency.js"></script>
<section id="footnotes"
class="footnotes footnotes-end-of-document" role="doc-endnotes">
<hr />
@ -144,8 +160,7 @@
generates regular polygons and writes their data to a file. I
chose this because it was an artificial and reproducible yet
fairly compressible dataset (without being extremely
compressible like null data).<br />
compressible like null data).
<details open>
<summary>
3-sided regular polygon data

19
blog/benchmarking-dwarfs.md
View file

@ -59,8 +59,18 @@ After processing [the data](/assets/benchmarking-dwarfs/data/) with [this script
### Sequential read
<div>
<canvas id="seq_read_chart" class="chart"></canvas>
</div>
### Random read
<div>
<canvas id="rand_read_chart" class="chart"></canvas>
</div>
### Sequential read latency
<div>
@ -69,6 +79,11 @@ After processing [the data](/assets/benchmarking-dwarfs/data/) with [this script
### Random read latency
<div>
<canvas id="rand_read_latency_chart" class="chart"></canvas>
</div>
The FUSE-based filesystems run into a bit of trouble here - with incompressible data, DwarFS has a hard time keeping up for some reason, despite keeping up just fine with larger random reads on the same data, and so it takes 3 to 4 seconds to run random read latency testing on the 25 GiB random file. Meanwhile, when testing random read latency in `fuse-archive` pretty much just dies, becoming ridiculously slow (even compared to DwarFS), so I didn't test its random read latency at all and just had its results put as 0 milliseconds.
### Summary and notes
@ -98,4 +113,8 @@ The FUSE-based filesystems run into a bit of trouble here - with incompressible
<!-- JavaScript for graphs goes hereeeeeee -->
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
<script src="/assets/benchmarking-dwarfs/js/declare_vars.js"></script>
<script src="/assets/benchmarking-dwarfs/js/seq_read.js"></script>
<script src="/assets/benchmarking-dwarfs/js/rand_read.js"></script>
<script src="/assets/benchmarking-dwarfs/js/seq_latency.js"></script>
<script src="/assets/benchmarking-dwarfs/js/rand_latency.js"></script>