[website] get rid of remnants of old markup (from benchmark pages) (#10412)

* rm outdated nginx config

* get rid of most outdated markup of benchmark.html

* reformat js

* get rid of ru comments + wrap benchmark.js in a function call

* split benchmark results into separate files

* adjust links to benchmarks

* refactor hardware benchmarks as well

* adjust links

* fix filtering for hardware

* additional markup tuning
This commit is contained in:
Ivan Blinkov 2020-04-22 14:30:33 +03:00 committed by GitHub
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commit ab150f96a1
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70 changed files with 4413 additions and 5303 deletions

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@ -5,7 +5,7 @@ toc_title: Performance
# Performance {#performance}
According to internal testing results at Yandex, ClickHouse shows the best performance (both the highest throughput for long queries and the lowest latency on short queries) for comparable operating scenarios among systems of its class that were available for testing. You can view the test results on a [separate page](https://clickhouse.tech/benchmark.html).
According to internal testing results at Yandex, ClickHouse shows the best performance (both the highest throughput for long queries and the lowest latency on short queries) for comparable operating scenarios among systems of its class that were available for testing. You can view the test results on a [separate page](https://clickhouse.tech/benchmark/dbms/).
Numerous independent benchmarks came to similar conclusions. They are not difficult to find using an internet search, or you can see [our small collection of related links](https://clickhouse.tech/#independent-benchmarks).

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@ -77,4 +77,4 @@ With this instruction you can run basic ClickHouse performance test on any serve
12. Send the numbers and the info about your hardware configuration to clickhouse-feedback@yandex-team.com
All the results are published here: https://clickhouse.tech/benchmark_hardware.html
All the results are published here: https://clickhouse.tech/benchmark/hardware/

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@ -7,7 +7,7 @@ toc_title: Rendimiento
# Rendimiento {#performance}
De acuerdo con los resultados de las pruebas internas en Yandex, ClickHouse muestra el mejor rendimiento (tanto el mayor rendimiento para consultas largas como la menor latencia en consultas cortas) para escenarios operativos comparables entre los sistemas de su clase que estaban disponibles para pruebas. Puede ver los resultados de la prueba en un [página separada](https://clickhouse.tech/benchmark.html).
De acuerdo con los resultados de las pruebas internas en Yandex, ClickHouse muestra el mejor rendimiento (tanto el mayor rendimiento para consultas largas como la menor latencia en consultas cortas) para escenarios operativos comparables entre los sistemas de su clase que estaban disponibles para pruebas. Puede ver los resultados de la prueba en un [página separada](https://clickhouse.tech/benchmark/dbms/).
Numerosos puntos de referencia independientes llegaron a conclusiones similares. No son difíciles de encontrar mediante una búsqueda en Internet, o se puede ver [nuestra pequeña colección de enlaces relacionados](https://clickhouse.tech/#independent-benchmarks).

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@ -2,7 +2,7 @@
# Performance {#performance}
با توجه به نتایج تست های Yandex، ClickHouse بهترین عملکرد را برای سناریوهای عملیاتی قابل مقایسه با دیگر سیستم های در کلاس خود را از خود نشان داد. این تست ها شامل بالاترین توان عملیاتی برای query های طولانی، و کمترین latency برای query های کوتاه بود. نتایج این تست های در [صفحه ی جدا](https://clickhouse.tech/benchmark.html) موجود است.
با توجه به نتایج تست های Yandex، ClickHouse بهترین عملکرد را برای سناریوهای عملیاتی قابل مقایسه با دیگر سیستم های در کلاس خود را از خود نشان داد. این تست ها شامل بالاترین توان عملیاتی برای query های طولانی، و کمترین latency برای query های کوتاه بود. نتایج این تست های در [صفحه ی جدا](https://clickhouse.tech/benchmark/dbms/) موجود است.
benchmark های زیادی وجود دارند که این نتایج را تایید می کنند. میتوانید این نتایج را جستجو کنید و یا [این لینک های benchmark](https://clickhouse.tech/#independent-benchmarks). مستقل را ببینید.

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@ -7,7 +7,7 @@ toc_title: Performance
# Performance {#performance}
Selon les résultats des tests internes chez Yandex, ClickHouse affiche les meilleures performances (à la fois le débit le plus élevé pour les requêtes longues et la latence la plus faible pour les requêtes courtes) pour des scénarios d'exploitation comparables parmi les systèmes de sa classe disponibles pour les tests. Vous pouvez afficher les résultats du test sur un [page séparée](https://clickhouse.tech/benchmark.html).
Selon les résultats des tests internes chez Yandex, ClickHouse affiche les meilleures performances (à la fois le débit le plus élevé pour les requêtes longues et la latence la plus faible pour les requêtes courtes) pour des scénarios d'exploitation comparables parmi les systèmes de sa classe disponibles pour les tests. Vous pouvez afficher les résultats du test sur un [page séparée](https://clickhouse.tech/benchmark/dbms/).
De nombreux points de repère indépendants sont arrivés à des conclusions similaires. Ils ne sont pas difficiles à trouver en utilisant une recherche sur internet, ou vous pouvez voir [notre petite collection de liens](https://clickhouse.tech/#independent-benchmarks).

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@ -5,7 +5,7 @@ toc_title: パフォーマンス
# パフォーマンス {#pahuomansu}
Yandexの内部テスト結果によると、ClickHouseは、テスト可能なクラスのシステム間で同等の動作シナリオで最高のパフォーマンス(長時間のクエリで最も高いスループットと、短時間のクエリで最小のレイテンシの両方)を示します。 [別のページで](https://clickhouse.yandex/benchmark.html)テスト結果を表示できます 。
Yandexの内部テスト結果によると、ClickHouseは、テスト可能なクラスのシステム間で同等の動作シナリオで最高のパフォーマンス(長時間のクエリで最も高いスループットと、短時間のクエリで最小のレイテンシの両方)を示します。 [別のページで](https://clickhouse.yandex/benchmark/dbms/)テスト結果を表示できます 。
これは、多数の独立したベンチマークでも確認されています。インターネット検索で見つけることは難しくありませんし、 [私達がまとめた関連リンク集](https://clickhouse.yandex/#independent-benchmarks) から見つけることもできます。

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@ -1,6 +1,6 @@
# Производительность {#proizvoditelnost}
По результатам внутреннего тестирования в Яндексе, ClickHouse обладает наиболее высокой производительностью (как наиболее высокой пропускной способностью на длинных запросах, так и наиболее низкой задержкой на коротких запросах), при соответствующем сценарии работы, среди доступных для тестирования систем подобного класса. Результаты тестирования можно посмотреть на [отдельной странице](https://clickhouse.tech/benchmark.html).
По результатам внутреннего тестирования в Яндексе, ClickHouse обладает наиболее высокой производительностью (как наиболее высокой пропускной способностью на длинных запросах, так и наиболее низкой задержкой на коротких запросах), при соответствующем сценарии работы, среди доступных для тестирования систем подобного класса. Результаты тестирования можно посмотреть на [отдельной странице](https://clickhouse.tech/benchmark/dbms/).
Также это подтверждают многочисленные независимые бенчмарки. Их не сложно найти в Интернете самостоятельно, либо можно воспользоваться [небольшой коллекцией ссылок по теме](https://clickhouse.tech/#independent-benchmarks).

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@ -360,9 +360,12 @@ def build(args):
build_releases(args, build_docs)
if not args.skip_website:
website.process_benchmark_results(args)
website.minify_website(args)
for static_redirect in [
('benchmark.html', '/benchmark/dbms/'),
('benchmark_hardware.html', '/benchmark/hardware/'),
('tutorial.html', '/docs/en/getting_started/tutorial/',),
('reference_en.html', '/docs/en/single/', ),
('reference_ru.html', '/docs/ru/single/',),

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@ -1,4 +1,5 @@
import hashlib
import json
import logging
import os
import shutil
@ -36,13 +37,14 @@ def build_website(args):
'*.md',
'*.sh',
'*.css',
'*.js',
'js/*.js',
'build',
'docs',
'public',
'node_modules',
'templates',
'feathericons'
'feathericons',
'locale'
)
)
@ -52,7 +54,7 @@ def build_website(args):
continue
path = os.path.join(root, filename)
if not (filename.endswith('.html') or filename.endswith('.js')):
if not filename.endswith('.html'):
continue
logging.info('Processing %s', path)
with open(path, 'rb') as f:
@ -115,11 +117,12 @@ def minify_website(args):
logging.info(closure_args)
if closure.run(*closure_args):
raise RuntimeError('failed to run closure compiler')
else:
logging.info(command)
js_in = ' '.join(js_in)
output = subprocess.check_output(f'cat {js_in} > {js_out}', shell=True)
command = f'cat {js_in} > {js_out}'
logging.info(command)
output = subprocess.check_output(command, shell=True)
logging.debug(output)
with open(js_out, 'rb') as f:
js_digest = hashlib.sha3_224(f.read()).hexdigest()[0:8]
@ -140,8 +143,7 @@ def minify_website(args):
with open(path, 'rb') as f:
content = f.read().decode('utf-8')
if filename.endswith('.html'):
if not content.startswith('<!-- Redirect: '):
content = htmlmin.minify(content, remove_empty_space=False)
content = htmlmin.minify(content, remove_empty_space=False)
content = content.replace('base.css?css_digest', f'base.css?{css_digest}')
content = content.replace('base.js?js_digest', f'base.js?{js_digest}')
elif filename.endswith('.css'):
@ -150,3 +152,19 @@ def minify_website(args):
content = jsmin.jsmin(content)
with open(path, 'wb') as f:
f.write(content.encode('utf-8'))
def process_benchmark_results(args):
benchmark_root = os.path.join(args.website_dir, 'benchmark')
for benchmark_kind in ['dbms', 'hardware']:
results = []
results_root = os.path.join(benchmark_root, benchmark_kind, 'results')
for result in sorted(os.listdir(results_root)):
result_file = os.path.join(results_root, result)
logging.debug(f'Reading benchmark result from {result_file}')
with open(result_file, 'r') as f:
results += json.loads(f.read())
results_js = os.path.join(args.output_dir, 'benchmark', benchmark_kind, 'results.js')
with open(results_js, 'w') as f:
data = json.dumps(results)
f.write(f'var results = {data};')

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@ -7,7 +7,7 @@ toc_title: Performans
# Performans {#performance}
Yandex'deki dahili test sonuçlarına göre, ClickHouse, test için mevcut olan sınıfının sistemleri arasında karşılaştırılabilir işletim senaryoları için en iyi performansı (hem uzun sorgular için en yüksek verim hem de kısa sorgularda en düşük gecikme süresi) gösterir. Test sonuçlarını bir [ayrı sayfa](https://clickhouse.tech/benchmark.html).
Yandex'deki dahili test sonuçlarına göre, ClickHouse, test için mevcut olan sınıfının sistemleri arasında karşılaştırılabilir işletim senaryoları için en iyi performansı (hem uzun sorgular için en yüksek verim hem de kısa sorgularda en düşük gecikme süresi) gösterir. Test sonuçlarını bir [ayrı sayfa](https://clickhouse.tech/benchmark/dbms/).
Çok sayıda bağımsız kriterler benzer sonuçlara geldi. Bir internet araması kullanarak bulmak zor değildir veya görebilirsiniz [ilgili bağlantı ourlardan oluşan küçük koleksiyon collectionumuz](https://clickhouse.tech/#independent-benchmarks).

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@ -1,7 +1,7 @@
# 性能 {#performance}
根据Yandex的内部测试结果ClickHouse表现出了比同类可比较产品更优的性能。你可以在 [这里](https://clickhouse.tech/benchmark.html) 查看具体的测试结果。
根据Yandex的内部测试结果ClickHouse表现出了比同类可比较产品更优的性能。你可以在 [这里](https://clickhouse.tech/benchmark/dbms/) 查看具体的测试结果。
许多其他的测试也证实这一点。你可以使用互联网搜索到它们,或者你也可以从 [我们收集的部分相关连接](https://clickhouse.tech/#independent-benchmarks) 中查看。

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@ -0,0 +1,411 @@
var data_sizes =
[
{id: "10000000", name: "10 mln."},
{id: "100000000", name: "100 mln."},
{id: "1000000000", name: "1 bn."}
];
var systems = [];
var systems_uniq = {};
for (r in results) {
if (systems_uniq[results[r].system])
continue;
systems_uniq[results[r].system] = 1;
systems.push(results[r].system);
}
var runs = ["first (cold cache)", "second", "third"];
var current_runs = ['0', '1'];
try {
var state = JSON.parse(decodeURIComponent(window.location.hash.substring(1)));
current_data_size = state[0];
current_systems = state[1];
current_runs = state[2];
} catch (e) {
}
function update_hash() {
window.location.hash = JSON.stringify([current_data_size, current_systems, current_runs]);
}
function generate_selectors(elem) {
var html = '<table class="table table-borderless"><tbody><tr id="systems_selector"><th scope="row" class="text-right w-15"><strong class="fake-btn">Compare</strong></th><td>';
var available_results = results;
if (current_data_size) {
available_results = results.filter(function (run) {
return run.data_size == current_data_size;
});
}
var available_systems_for_current_data_size = available_results.map(function (run) {
return run.system;
});
for (var i = 0; i < systems.length; i++) {
var selected = current_systems.indexOf(systems[i]) != -1;
var available = available_systems_for_current_data_size.indexOf(systems[i]) != -1;
html += '<button type="button" class="btn btn-outline-dark mr-2 mb-2' +
(selected && available ? ' active' : '') +
(available ? '' : ' disabled') +
'">' + systems[i] + '</button>';
}
html += '</td></tr>';
if (current_data_size) {
html += '<tr id="data_size_selector"><th scope="row" class="text-right w-15"><strong class="fake-btn">Dataset&nbsp;size</strong></th><td>';
for (var i = 0; i < data_sizes.length; i++) {
html += '<button type="button" class="btn btn-outline-dark mr-2 mb-2' + (data_sizes[i].id == current_data_size ? ' active' : '') + '" data-size-id="' + data_sizes[i].id + '">' + data_sizes[i].name + '</button>';
}
}
html += '</td></tr>';
html += '<tr id="runs_selector"><th scope="row" class="text-right w-15"><strong class="fake-btn">Run</strong></th><td>';
for (var i = 0; i < runs.length; i++) {
html += '<button type="button" class="btn btn-outline-dark mr-2 mb-2' + (current_runs.indexOf(String(i)) != -1 ? ' active' : '') + '" data-run-id="' + i + '">' + runs[i] + '</button>';
}
html += '</td></tr></tbody></table>';
elem.html(html);
$('#systems_selector button:not(.disabled)').click(function (event) {
var target = $(event.target || event.srcElement);
if (target.hasClass("active") && current_systems.length == 1) {
return;
}
target.toggleClass("active");
current_systems = $.map($('#systems_selector button'), function (elem) {
return $(elem).hasClass("active") ? $(elem).html() : null
}).filter(function (x) {
return x;
});
update_hash();
generate_selectors(elem);
generate_comparison_table();
generate_diagram();
});
if (current_data_size) {
$('#data_size_selector button').click(function (event) {
var target = $(event.target || event.srcElement);
current_data_size = target.attr("data-size-id");
update_hash();
generate_selectors(elem);
generate_comparison_table();
generate_diagram();
});
}
$('#runs_selector button').click(function (event) {
var target = $(event.target || event.srcElement);
if (target.hasClass("active") && current_runs.length == 1) {
return;
}
target.toggleClass("active");
current_runs = $.map($('#runs_selector button'), function (elem) {
return $(elem).hasClass("active") ? $(elem).attr("data-run-id") : null
}).filter(function (x) {
return x;
});
update_hash();
generate_selectors(elem);
generate_comparison_table();
generate_diagram();
});
}
function format_number_cell(value, ratio) {
var html = "";
var redness = (ratio - 1) / ratio;
var blackness = ratio < 10 ? 0 : ((ratio - 10) / ratio / 2);
var color = !value ? "#FFF" :
ratio == 1 ?
("rgba(0, 255, 0, 1)") :
("rgba(" + ~~(255 * (1 - blackness)) + ", 0, 0, " + redness + ")");
html += "<td style='background-color: " + color + "'>";
html += value ?
(ratio == 1 ? "" : ("×" + ratio.toFixed(2))) + "&nbsp;<span style='color: #888;'>(" + value.toFixed(3) + "&nbsp;s.)</span>" :
"—";
html += "</td>";
return html;
}
/* Ratio of execution time to best execution time:
* system index -> run index -> query index -> ratio.
*/
var ratios = [];
function generate_comparison_table() {
ratios = [];
var filtered_results = results;
if (current_data_size) {
filtered_results = filtered_results.filter(function (x) {
return x.data_size == current_data_size;
});
}
filtered_results = filtered_results.filter(function (x) {
return current_systems.indexOf(x.system) != -1;
});
var html = "";
html += "<table class='table table-bordered'>";
html += "<tr>";
html += "<th><input id='query_checkbox_toggler' type='checkbox' checked /></th>";
html += "<th>Query</th>";
for (var j = 0; j < filtered_results.length; j++) {
html += "<th colspan='" + current_runs.length + "'>" + filtered_results[j].system +
(filtered_results[j].version ? " (" + filtered_results[j].version + ")" : "") + "</th>";
}
html += "</tr>";
for (var i = 0; i < queries.length; i++) {
html += "<tr>";
html += "<td><input id='query_checkbox" + i + "' type='checkbox' " +
($('#query_checkbox' + i).length == 0 || $('#query_checkbox' + i).is(':checked') ? "checked" : "") + " /></td>";
html += "<td class='benchmark-query-cell-wrapper'><div class='benchmark-query-cell'>" + queries[i].query + "</div></td>";
// Max and min execution time per system, for each of three runs
var minimums = [0, 0, 0], maximums = [0, 0, 0];
for (var j = 0; j < filtered_results.length; j++) {
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
var k = current_runs[current_run_idx];
var value = filtered_results[j].result[i][k];
if (value && (!minimums[k] || value < minimums[k])) {
minimums[k] = value;
// Ignore below 10ms
if (minimums[k] < 0.01) {
minimums[k] = 0.01;
}
}
if (value > maximums[k]) {
maximums[k] = value;
}
}
}
for (var j = 0; j < filtered_results.length; j++) {
if (!ratios[j]) {
ratios[j] = [];
}
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
var k = current_runs[current_run_idx];
var value = filtered_results[j].result[i][k];
var ratio = value / minimums[k];
ratios[j][k] = ratios[j][k] || [];
if (ratio && ratio <= 1) {
ratio = 1;
}
ratios[j][k].push(ratio);
html += format_number_cell(value, ratio);
}
}
html += "</tr>";
}
if (current_systems.length) {
html += "<tr>";
html += "<td rowspan='2'></td>";
html += "<td rowspan='2'>Geometric mean of ratios</td>";
for (var j = 0; j < filtered_results.length; j++) {
for (var k = 0; k < current_runs.length; k++) {
html += "<th id='totals" + j + "_" + current_runs[k] + "' class='number_cell text-center'></th>";
}
}
html += "</tr>";
html += "<tr>";
for (var j = 0; j < filtered_results.length; j++) {
html += "<th id='absolute_totals" + j + "' colspan='" + current_runs.length + "' class='number_cell text-center'></th>";
}
html += "</tr>";
}
html += "</table>";
$('#comparison_table').html(html);
for (var i = 0; i < queries.length; i++) {
$('#query_checkbox' + i).click(function () {
calculate_totals();
generate_diagram();
});
}
$('#query_checkbox_toggler').click(function () {
for (var i = 0; i < queries.length; i++) {
var item = $('#query_checkbox' + i);
item.prop("checked", !item.prop("checked"));
}
});
calculate_totals();
}
function calculate_totals() {
if (!current_systems.length) return;
var filtered_results = results;
if (current_data_size) {
filtered_results = filtered_results.filter(function (x) {
return x.data_size == current_data_size;
});
}
filtered_results = filtered_results.filter(function (x) {
return current_systems.indexOf(x.system) != -1;
});
var total_ratios = [];
for (var j = 0; j < filtered_results.length; j++) {
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
var k = current_runs[current_run_idx];
var current_ratios = ratios[j][k].filter(
function (x, i) {
return x && $("#query_checkbox" + i).is(':checked');
}
);
var ratio = Math.pow(
current_ratios.reduce(
function (acc, cur) {
return acc * cur;
},
1),
1 / current_ratios.length);
total_ratios[j] = total_ratios[j] || 1;
total_ratios[j] *= ratio;
$("#totals" + j + "_" + k).attr("data-ratio", ratio).html("x" + ratio.toFixed(2));
}
}
for (var j = 0; j < filtered_results.length; j++) {
var total_ratio = Math.pow(total_ratios[j], 1 / current_runs.length);
$("#absolute_totals" + j).attr("data-ratio", total_ratio).html("x" + total_ratio.toFixed(2));
}
}
function generate_diagram() {
var html = "";
var filtered_results = results;
if (current_data_size) {
filtered_results = filtered_results.filter(function (x) {
return x.data_size == current_data_size && current_systems.indexOf(x.system) != -1;
});
}
filtered_results = filtered_results.filter(function (x) {
return current_systems.indexOf(x.system) != -1;
});
var max_ratio = 1;
var min_ratio = 0;
var max_total_ratio = 1;
var min_total_ratio = 0;
for (var j = 0; j < filtered_results.length; j++) {
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
var k = current_runs[current_run_idx];
var ratio = +$("#totals" + j + "_" + k).attr("data-ratio");
if (ratio > max_ratio) {
max_ratio = ratio;
}
if (!min_ratio || ratio < min_ratio) {
min_ratio = ratio;
}
}
var total_ratio = +$("#absolute_totals" + j).attr("data-ratio");
if (total_ratio > max_total_ratio) {
max_total_ratio = total_ratio;
}
if (!min_total_ratio || total_ratio < min_total_ratio) {
min_total_ratio = total_ratio;
}
}
html += "<table class='table table-borderless'>";
for (var j = 0; j < filtered_results.length; j++) {
var total_ratio = +$("#absolute_totals" + j).attr("data-ratio");
html += "<tr>";
html += "<td class='text-right w-15'><strong>" + filtered_results[j].system + "</strong>" +
(filtered_results[j].version ? "<br />(" + filtered_results[j].version.replace(/ /g, '&nbsp;') + ")" : "") + "</td>";
html += "<td class='w-75'>";
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
var k = current_runs[current_run_idx];
var ratio = +$("#totals" + j + "_" + k).attr("data-ratio");
var percents = (ratio * 100 / max_ratio).toFixed(2);
if (!ratio) {
ratio = +$("#absolute_totals" + j).attr("data-ratio");
percents = (ratio * 100 / max_total_ratio).toFixed(2);
}
html += '<div class="progress ml-2 my-2" style="height:1rem;"><div class="progress-bar bg-orange" style="width: ' + percents + '%;">&nbsp;</div></div>';
}
html += "</td>";
html += "<td class='align-middle'><strong>" + (total_ratio / min_total_ratio).toFixed(2) + "</strong></td>";
html += "</tr>";
}
html += "</table>";
$('#diagram').html(html);
}
generate_selectors($('#selectors'));
generate_comparison_table();
generate_diagram();

View File

@ -0,0 +1,55 @@
{% extends 'templates/base.html' %}
{% set title = 'Performance comparison of database management systems' %}
{% set extra_js = ['queries.js', 'results.js', '../benchmark.js'] %}
{% set no_footer = True %}
{% block content %}
<div class="container-fluid py-3">
<div class="row mb-3">
<div class="col">
<a href="/" title="Main page" class="float-left mr-3">
<img src="/images/logo.svg" alt="ClickHouse" />
</a>
<h1>Performance comparison of analytical DBMS</h1>
</div>
</div>
<div class="row mb-3">
<div id="selectors" class="col"></div>
</div>
<div class="row mb-3">
<div class="col">
<h3 class="my-3">Relative query processing time <span class="text-muted">(lower is better)</span></h3>
<div id="diagram"></div>
</div>
</div>
<div class="row mb-3">
<div class="col">
<h3 class="my-3">Full results</h3>
<div id="comparison_table" class="table-responsive"></div>
</div>
</div>
<div class="row">
<div class="col">
<h3 class="my-3">Comments</h3>
<p>Most results are for single server setup with the following configuration: two socket Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz; 128 GiB RAM; md RAID-5 on 8 6TB SATA HDD; ext4.</p>
<p>Some additional results (marked as x2, x3, x6) are for clustered setup for comparison. These results are contributed from independent teams and hardware specification may differ.</p>
<p>
<strong>Disclaimer!</strong> Some results are significantly outdated:
<ul>
<li>Results for MonetDB were obtained in 2013 for version v11.15.11 (Feb2013-SP3)</li>
<li>Results for MemSQL were obtained in 2015 for version 3.2.</li>
<li>Results for Vertica were obtained in 2015 for version 7.1.1.</li>
</ul>
</p>
<p>See also: <a href="../hardware/">performance comparison of ClickHouse on various hardware</a>.</p>
</div>
</div>
{% endblock %}

View File

@ -0,0 +1,179 @@
var current_data_size = 1000000000;
var current_systems = ["ClickHouse", "Vertica", "Greenplum"];
var queries =
[
{
"query": "SELECT count() FROM hits",
"comment": "",
},
{
"query": "SELECT count() FROM hits WHERE AdvEngineID != 0",
"comment": "",
},
{
"query": "SELECT sum(AdvEngineID), count(), avg(ResolutionWidth) FROM hits",
"comment": "",
},
{
"query": "SELECT sum(UserID) FROM hits",
"comment": "",
},
{
"query": "SELECT uniq(UserID) FROM hits",
"comment": "",
},
{
"query": "SELECT uniq(SearchPhrase) FROM hits",
"comment": "",
},
{
"query": "SELECT min(EventDate), max(EventDate) FROM hits",
"comment": "",
},
{
"query": "SELECT AdvEngineID, count() FROM hits WHERE AdvEngineID != 0 GROUP BY AdvEngineID ORDER BY count() DESC",
"comment": "",
},
{
"query": "SELECT RegionID, uniq(UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT RegionID, sum(AdvEngineID), count() AS c, avg(ResolutionWidth), uniq(UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT MobilePhoneModel, uniq(UserID) AS u FROM hits WHERE MobilePhoneModel != '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT MobilePhone, MobilePhoneModel, uniq(UserID) AS u FROM hits WHERE MobilePhoneModel != '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase, count() AS c FROM hits WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase, uniq(UserID) AS u FROM hits WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchEngineID, SearchPhrase, count() AS c FROM hits WHERE SearchPhrase != '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID, count() FROM hits GROUP BY UserID ORDER BY count() DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID, SearchPhrase, count() FROM hits GROUP BY UserID, SearchPhrase ORDER BY count() DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID, SearchPhrase, count() FROM hits GROUP BY UserID, SearchPhrase LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID, toMinute(EventTime) AS m, SearchPhrase, count() FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY count() DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID FROM hits WHERE UserID = 12345678901234567890",
"comment": "",
},
{
"query": "SELECT count() FROM hits WHERE URL LIKE '%metrika%'",
"comment": "",
},
{
"query": "SELECT SearchPhrase, any(URL), count() AS c FROM hits WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase, any(URL), any(Title), count() AS c, uniq(UserID) FROM hits WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT * FROM hits WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase FROM hits WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase FROM hits WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase FROM hits WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10",
"comment": "",
},
{
"query": "SELECT CounterID, avg(length(URL)) AS l, count() AS c FROM hits WHERE URL != '' GROUP BY CounterID HAVING c > 100000 ORDER BY l DESC LIMIT 25",
"comment": "",
},
{
"query": "SELECT domainWithoutWWW(Referer) AS key, avg(length(Referer)) AS l, count() AS c, any(Referer) FROM hits WHERE Referer != '' GROUP BY key HAVING c > 100000 ORDER BY l DESC LIMIT 25",
"comment": "",
},
{
"query": "SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM hits",
"comment": "",
},
{
"query": "SELECT SearchEngineID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM hits WHERE SearchPhrase != '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT WatchID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM hits WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT WatchID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT URL, count() AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT 1, URL, count() AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT ClientIP AS x, x - 1, x - 2, x - 3, count() AS c FROM hits GROUP BY x, x - 1, x - 2, x - 3 ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT URL, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT DontCountHits AND NOT Refresh AND notEmpty(URL) GROUP BY URL ORDER BY PageViews DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT Title, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT DontCountHits AND NOT Refresh AND notEmpty(Title) GROUP BY Title ORDER BY PageViews DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT URL, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh AND IsLink AND NOT IsDownload GROUP BY URL ORDER BY PageViews DESC LIMIT 1000",
"comment": "",
},
{
"query": "SELECT TraficSourceID, SearchEngineID, AdvEngineID, ((SearchEngineID = 0 AND AdvEngineID = 0) ? Referer : '') AS Src, URL AS Dst, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000",
"comment": "",
},
{
"query": "SELECT URLHash, EventDate, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh AND TraficSourceID IN (-1, 6) AND RefererHash = halfMD5('http://yandex.ru/') GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 100",
"comment": "",
},
{
"query": "SELECT WindowClientWidth, WindowClientHeight, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh AND NOT DontCountHits AND URLHash = halfMD5('http://yandex.ru/') GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10000;",
"comment": "",
},
{
"query": "SELECT toStartOfMinute(EventTime) AS Minute, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-02') AND NOT Refresh AND NOT DontCountHits GROUP BY Minute ORDER BY Minute;",
"comment": "",
}
]

View File

@ -0,0 +1,163 @@
[
{
"system": "ClickHouse",
"version": "19.1.6",
"data_size": 10000000,
"time": "2016-06-01 03:00:00",
"comments": "FORMAT Null",
"result":
[
[0.092, 0.012, 0.006],
[0.087, 0.006, 0.006],
[0.098, 0.010, 0.011],
[0.134, 0.016, 0.010],
[0.176, 0.037, 0.040],
[0.233, 0.057, 0.058],
[0.066, 0.006, 0.007],
[0.071, 0.006, 0.014],
[0.259, 0.131, 0.128],
[0.266, 0.094, 0.078],
[0.217, 0.033, 0.032],
[0.211, 0.040, 0.034],
[0.249, 0.102, 0.102],
[0.343, 0.122, 0.107],
[0.302, 0.116, 0.122],
[0.209, 0.090, 0.083],
[0.415, 0.222, 0.221],
[0.287, 0.112, 0.115],
[0.562, 0.323, 0.351],
[0.127, 0.009, 0.009],
[0.410, 0.068, 0.073],
[0.494, 0.108, 0.083],
[0.911, 0.197, 0.193],
[2.426, 0.303, 0.286],
[0.311, 0.041, 0.046],
[0.203, 0.037, 0.040],
[0.262, 0.042, 0.052],
[0.365, 0.067, 0.066],
[0.735, 0.158, 0.177],
[0.549, 0.344, 0.521],
[0.357, 0.098, 0.103],
[0.509, 0.136, 0.130],
[0.775, 0.531, 0.532],
[0.641, 0.342, 0.320],
[0.600, 0.351, 0.352],
[0.295, 0.122, 0.134],
[0.291, 0.118, 0.122],
[0.203, 0.053, 0.057],
[0.234, 0.041, 0.037],
[0.502, 0.223, 0.234],
[0.275, 0.016, 0.018],
[0.222, 0.014, 0.017],
[0.182, 0.016, 0.014]
]
},
{
"system": "ClickHouse",
"version": "19.1.6",
"data_size": 100000000,
"time": "2016-06-01 03:00:00",
"comments": "FORMAT Null",
"result":
[
[0.133, 0.016, 0.016],
[0.086, 0.012, 0.037],
[0.254, 0.041, 0.037],
[0.478, 0.047, 0.045],
[0.655, 0.104, 0.105],
[0.581, 0.228, 0.297],
[0.105, 0.048, 0.022],
[0.076, 0.012, 0.015],
[0.892, 0.509, 0.487],
[1.077, 0.542, 0.589],
[0.529, 0.171, 0.167],
[0.541, 0.188, 0.182],
[0.975, 0.659, 0.603],
[1.479, 0.812, 0.770],
[1.082, 0.734, 0.778],
[0.952, 0.728, 0.729],
[2.212, 1.756, 1.952],
[1.230, 1.033, 0.907],
[4.613, 4.030, 3.955],
[0.477, 0.074, 0.037],
[1.648, 0.532, 0.555],
[2.002, 0.645, 0.651],
[3.676, 1.479, 1.487],
[7.792, 0.759, 0.788],
[1.139, 0.239, 0.215],
[0.522, 0.220, 0.215],
[1.018, 0.230, 0.238],
[1.768, 0.602, 0.603],
[1.818, 0.899, 0.916],
[3.301, 3.174, 3.283],
[1.313, 0.639, 0.631],
[2.136, 0.938, 0.975],
[5.894, 5.412, 5.467],
[3.359, 3.053, 3.061],
[3.355, 2.999, 3.004],
[1.224, 1.103, 1.063],
[0.185, 0.086, 0.092],
[0.138, 0.038, 0.038],
[0.155, 0.031, 0.031],
[0.390, 0.183, 0.162],
[0.203, 0.013, 0.013],
[0.178, 0.011, 0.011],
[0.128, 0.007, 0.007]
]
},
{
"system": "ClickHouse",
"version": "19.1.6",
"data_size": 1000000000,
"time": "2016-06-01 03:00:00",
"comments": "FORMAT Null",
"result":
[
[0.747, 0.090, 0.075],
[0.197, 0.074, 0.061],
[1.370, 0.419, 0.334],
[3.911, 0.390, 0.365],
[4.096, 0.636, 0.638],
[4.739, 1.626, 1.542],
[0.270, 0.172, 0.188],
[0.184, 0.067, 0.061],
[6.182, 3.016, 2.913],
[7.068, 3.329, 3.409],
[4.332, 1.128, 1.296],
[4.698, 1.351, 1.328],
[7.721, 5.721, 5.802],
[11.683, 7.687, 7.629],
[9.144, 6.987, 6.974],
[8.069, 6.115, 6.386],
[22.657, 20.622, 20.842],
[11.727, 10.574, 10.708],
[52.193, 51.836, 53.738],
[4.179, 0.378, 0.279],
[24.400, 4.712, 4.591],
[29.045, 5.533, 5.502],
[56.733, 13.958, 13.791],
[86.314, 8.349, 7.448],
[11.360, 1.762, 1.781],
[4.890, 1.568, 1.508],
[11.667, 1.962, 1.889],
[24.491, 5.554, 5.556],
[28.096, 8.528, 8.481],
[24.084, 25.500, 26.527],
[10.820, 5.387, 5.406],
[25.187, 8.879, 8.852],
[70.218, 67.707, 68.059],
[42.018, 36.039, 36.391],
[43.128, 35.813, 36.154],
[9.646, 8.490, 8.418],
[0.639, 0.250, 0.289],
[0.350, 0.064, 0.066],
[0.443, 0.106, 0.100],
[0.923, 0.461, 0.460],
[0.479, 0.030, 0.029],
[0.372, 0.025, 0.023],
[0.224, 0.012, 0.013]
]
}
]

View File

@ -0,0 +1,163 @@
[
{
"system": "Vertica",
"version": "7.1.1",
"data_size": 10000000,
"time": "",
"comments": "",
"result":
[
[0.015899, 0.012807, 0.012184],
[0.035133, 0.021397, 0.018946],
[0.060938, 0.034013, 0.037085],
[0.051492, 0.021746, 0.022661],
[0.150695, 0.144041, 0.143313],
[0.412724, 0.276505, 0.27558],
[0.039736, 0.021215, 0.025029],
[0.049819, 0.045784, 0.049303],
[0.248834, 0.222963, 0.217386],
[0.43366, 0.437333, 0.4883],
[0.106483, 0.094236, 0.092362],
[0.122424, 0.10004, 0.100646],
[0.952346, 0.963712, 0.994094],
[0.64299, 0.647605, 0.644699],
[0.606994, 0.552117, 0.563657],
[0.221643, 0.205149, 0.216158],
[0.789877, 0.848421, 0.869198],
[0.439601, 0.438257, 0.424207],
[1.51968, 1.351311, 1.495538],
[0.038791, 0.03504, 0.050796],
[0.847444, 0.412624, 0.413898],
[0.491446, 0.474577, 0.484147],
[1.693912, 1.166251, 1.236441],
[1.905181, 1.257361, 1.437238],
[0.36171, 0.263338, 0.28958],
[0.46795, 0.515716, 0.443451],
[0.28467, 0.248823, 0.251787],
[2.326452, 2.152684, 2.073438],
[2.953462, 2.324174, 2.845123],
[0.631466, 0.822281, 0.873889],
[0.446697, 0.320824, 0.304922],
[0.489312, 0.417575, 0.440902],
[2.178985, 2.094694, 2.164159],
[1.375479, 1.331646, 1.360907],
[1.347677, 1.354772, 1.344533],
[0.429637, 0.43564, 0.436279],
[3.297413, 3.177341, 3.194704],
[0.835327, 0.743157, 0.746247],
[0.248143, 0.20795, 0.218004],
[1.495476, 1.322633, 1.374602],
[0.187092, 0.12099, 0.127517],
[0.148605, 0.109589, 0.107272],
[0.148173, 0.12809, 0.133435]
]
},
{
"system": "Vertica",
"version": "7.1.1",
"data_size": 100000000,
"time": "",
"comments": "",
"result":
[
[0.044914, 0.033471, 0.029564],
[0.124784, 0.044458, 0.04813],
[0.253575, 0.167392, 0.166981],
[0.267045, 0.060595, 0.059291],
[0.901021, 0.881088, 1.032132],
[1.284296, 0.991411, 1.011576],
[0.149862, 0.068061, 0.067217],
[0.148711, 0.083089, 0.078208],
[1.847624, 1.836724, 1.892968],
[4.278373, 4.313527, 4.564084],
[0.358281, 0.266623, 0.288294],
[0.42072, 0.38109, 0.371086],
[5.294134, 4.280055, 4.179055],
[8.849077, 8.744801, 8.750143],
[4.469753, 4.203493, 4.319043],
[1.542069, 1.506466, 1.605814],
[8.230461, 8.129543, 8.521089],
[5.063301, 5.177715, 4.989504],
[21.097494, 21.113905, 20.863796],
[0.238975, 0.163524, 0.162261],
[3.681673, 3.664944, 3.738555],
[3.996372, 3.875857, 3.897112],
[5.086255, 5.00034, 5.019747],
[5.105649, 4.51027, 4.780023],
[6.028593, 6.027804, 5.998026],
[4.324348, 4.357931, 4.451637],
[6.011405, 6.01204, 6.006612],
[13.744667, 14.174568, 14.053413],
[9.533647, 9.626582, 9.551671],
[2.652615, 2.689042, 2.617271],
[1.881931, 1.808578, 1.80198],
[3.926782, 3.813766, 3.806481],
[19.214651, 19.52602, 19.544008],
[27.55101, 27.641466, 28.128856],
[27.687275, 27.525594, 27.338331],
[4.989802, 5.243158, 4.861738],
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]

View File

@ -0,0 +1,55 @@
[
{
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"time": "2015-04-05",
"comments": "",
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}
]

View File

@ -0,0 +1,161 @@
[
{
"system": "Greenplum",
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"data_size": 10000000,
"time": "",
"comments": "",
"result":
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]
},
{
"system": "Greenplum",
"version": "4.3.9.1",
"data_size": 100000000,
"time": "",
"comments": "",
"result":
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[13.44, 13.84, 13.24],
[1.92, 1.16, 1.10],
[1.88, 1.16, 1.10],
[1.87, 1.07, 0.98],
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[2.44, 1.78, 1.68],
[2.19, 1.72, 2.24]
]
},
{
"system": "Greenplum",
"version": "4.3.9.1",
"data_size": 1000000000,
"time": "",
"comments": "",
"result":
[
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]

View File

@ -0,0 +1,161 @@
[
{
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"time": "",
"comments": "",
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]

View File

@ -0,0 +1,65 @@
{% extends 'templates/base.html' %}
{% set title = 'Performance comparison of ClickHouse on various hardware' %}
{% set extra_js = ['queries.js', 'results.js', '../benchmark.js'] %}
{% set no_footer = True %}
{% block content %}
<div class="container-fluid py-3">
<div class="row mb-3">
<div class="col">
<a href="/" title="Main page" class="float-left mr-3">
<img src="/images/logo.svg" alt="ClickHouse" />
</a>
<h1>{{ title }}</h1>
</div>
</div>
<div class="row mb-3">
<div id="selectors" class="col"></div>
</div>
<div class="row mb-3">
<div class="col">
<h3 class="my-3">Relative query processing time <span class="text-muted">(lower is better)</span></h3>
<div id="diagram"></div>
</div>
</div>
<div class="row mb-3">
<div class="col">
<h3 class="my-3">Full results</h3>
<div id="comparison_table" class="table-responsive"></div>
</div>
</div>
<div class="row">
<div class="col">
<h3 class="my-3">Comments</h3>
<p>Submit your own results: <a href="https://clickhouse.tech/docs/en/operations/performance_test/">https://clickhouse.tech/docs/en/operations/performance_test/</a></p>
<p>
Results for Lenovo B580 Laptop are from <b>Ragıp Ünal</b>. 16GB RAM 1600 GHz, 240GB SSD, Intel(R) Core(TM) i5-3210M CPU @ 2.50GHz (2 Core / 4 HT)<br/>
Results for Time4vps.eu are from <b>Ragıp Ünal</b>.<br/>
Results for Dell PowerEdge R640, R641 (in Hetzner) are from <b>Dmirty Titov</b>.<br/>
Results for Dell PowerEdge R730 are from <b>Amos Bird</b>.<br/>
Results for Dell R530 are from <b>Yuriy Zolkin</b>.<br/>
Results for Xeon 2176G are from <b>Sergey Golod</b>.<br/>
Results for Azure DS3v2 are from <b>Boris Granveaud</b>.<br/>
Results for AWS are from <b>Wolf Kreuzerkrieg</b>.<br/>
Results for Huawei Taishan are from <b>Peng Gao</b> in sina.com.<br/>
Results for Selectel and AMD EPYC 7402P are from <b>Andrey Dudin</b>.<br/>
Results for ProLiant are from <b>Denis Ustinov</b>.<br/>
Results for AMD EPYC 7502P 128GiB are from <b>Kostiantyn Velychkovskyi</b>.<br/>
Results for AMD EPYC 7502P 512GiB are from <b>Sergey Zakharov</b>.<br/>
Results for Pinebook Pro are from <b>Aleksey R. @kITerE</b>.<br/>
Results for AMD Ryzen are from <b>Alexey Milovidov</b>. Firefox was running in background.<br/>
Results for Azure E32s are from <b>Piotr Maśko</b>.<br/>
Results for MacBook Pro are from <b>Denis Glazachev</b>. MacOS Catalina Version 10.15.4 (19E266). For "drop caches", the "Free Up RAM" in CleanMyMac is used.<br/>
Results for AMD EPYC 7702 are from <b>Peng Gao</b> in sina.com.<br/>
Results for Intel NUC are from <b>Alexander Zaitsev</b>, Altinity.<br/>
Xeon Gold 6230 server is using 4 x SAMSUNG datacenter class SSD in RAID-10.<br/>
Results for Yandex Managed ClickHouse for "cold cache" are biased and should not be compared, because cache was not flushed for every next query.</p>
</div>
</div>
{% endblock %}

View File

@ -0,0 +1,182 @@
var current_data_size = 0;
var current_systems = [
'Xeon Gold 6230, 2 sockets, 40 threads',
'Dell PowerEdge R640 DX292 2x Xeon SP Gold 16-Core 2.10GHz, 196 GB RAM, 2x SSD 960 GB RAID-1',
'E5-2650 v2 @ 2.60GHz, 2 sockets, 16 threads, 8xHDD RAID-5'];
var queries =
[
{
"query": "SELECT count() FROM hits",
"comment": "",
},
{
"query": "SELECT count() FROM hits WHERE AdvEngineID != 0",
"comment": "",
},
{
"query": "SELECT sum(AdvEngineID), count(), avg(ResolutionWidth) FROM hits",
"comment": "",
},
{
"query": "SELECT sum(UserID) FROM hits",
"comment": "",
},
{
"query": "SELECT uniq(UserID) FROM hits",
"comment": "",
},
{
"query": "SELECT uniq(SearchPhrase) FROM hits",
"comment": "",
},
{
"query": "SELECT min(EventDate), max(EventDate) FROM hits",
"comment": "",
},
{
"query": "SELECT AdvEngineID, count() FROM hits WHERE AdvEngineID != 0 GROUP BY AdvEngineID ORDER BY count() DESC",
"comment": "",
},
{
"query": "SELECT RegionID, uniq(UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT RegionID, sum(AdvEngineID), count() AS c, avg(ResolutionWidth), uniq(UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT MobilePhoneModel, uniq(UserID) AS u FROM hits WHERE MobilePhoneModel != '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT MobilePhone, MobilePhoneModel, uniq(UserID) AS u FROM hits WHERE MobilePhoneModel != '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase, count() AS c FROM hits WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase, uniq(UserID) AS u FROM hits WHERE SearchPhrase != '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchEngineID, SearchPhrase, count() AS c FROM hits WHERE SearchPhrase != '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID, count() FROM hits GROUP BY UserID ORDER BY count() DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID, SearchPhrase, count() FROM hits GROUP BY UserID, SearchPhrase ORDER BY count() DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID, SearchPhrase, count() FROM hits GROUP BY UserID, SearchPhrase LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID, toMinute(EventTime) AS m, SearchPhrase, count() FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY count() DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT UserID FROM hits WHERE UserID = 12345678901234567890",
"comment": "",
},
{
"query": "SELECT count() FROM hits WHERE URL LIKE '%metrika%'",
"comment": "",
},
{
"query": "SELECT SearchPhrase, any(URL), count() AS c FROM hits WHERE URL LIKE '%metrika%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase, any(URL), any(Title), count() AS c, uniq(UserID) FROM hits WHERE Title LIKE '%Яндекс%' AND URL NOT LIKE '%.yandex.%' AND SearchPhrase != '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT * FROM hits WHERE URL LIKE '%metrika%' ORDER BY EventTime LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase FROM hits WHERE SearchPhrase != '' ORDER BY EventTime LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase FROM hits WHERE SearchPhrase != '' ORDER BY SearchPhrase LIMIT 10",
"comment": "",
},
{
"query": "SELECT SearchPhrase FROM hits WHERE SearchPhrase != '' ORDER BY EventTime, SearchPhrase LIMIT 10",
"comment": "",
},
{
"query": "SELECT CounterID, avg(length(URL)) AS l, count() AS c FROM hits WHERE URL != '' GROUP BY CounterID HAVING c > 100000 ORDER BY l DESC LIMIT 25",
"comment": "",
},
{
"query": "SELECT domainWithoutWWW(Referer) AS key, avg(length(Referer)) AS l, count() AS c, any(Referer) FROM hits WHERE Referer != '' GROUP BY key HAVING c > 100000 ORDER BY l DESC LIMIT 25",
"comment": "",
},
{
"query": "SELECT sum(ResolutionWidth), sum(ResolutionWidth + 1), sum(ResolutionWidth + 2), sum(ResolutionWidth + 3), sum(ResolutionWidth + 4), sum(ResolutionWidth + 5), sum(ResolutionWidth + 6), sum(ResolutionWidth + 7), sum(ResolutionWidth + 8), sum(ResolutionWidth + 9), sum(ResolutionWidth + 10), sum(ResolutionWidth + 11), sum(ResolutionWidth + 12), sum(ResolutionWidth + 13), sum(ResolutionWidth + 14), sum(ResolutionWidth + 15), sum(ResolutionWidth + 16), sum(ResolutionWidth + 17), sum(ResolutionWidth + 18), sum(ResolutionWidth + 19), sum(ResolutionWidth + 20), sum(ResolutionWidth + 21), sum(ResolutionWidth + 22), sum(ResolutionWidth + 23), sum(ResolutionWidth + 24), sum(ResolutionWidth + 25), sum(ResolutionWidth + 26), sum(ResolutionWidth + 27), sum(ResolutionWidth + 28), sum(ResolutionWidth + 29), sum(ResolutionWidth + 30), sum(ResolutionWidth + 31), sum(ResolutionWidth + 32), sum(ResolutionWidth + 33), sum(ResolutionWidth + 34), sum(ResolutionWidth + 35), sum(ResolutionWidth + 36), sum(ResolutionWidth + 37), sum(ResolutionWidth + 38), sum(ResolutionWidth + 39), sum(ResolutionWidth + 40), sum(ResolutionWidth + 41), sum(ResolutionWidth + 42), sum(ResolutionWidth + 43), sum(ResolutionWidth + 44), sum(ResolutionWidth + 45), sum(ResolutionWidth + 46), sum(ResolutionWidth + 47), sum(ResolutionWidth + 48), sum(ResolutionWidth + 49), sum(ResolutionWidth + 50), sum(ResolutionWidth + 51), sum(ResolutionWidth + 52), sum(ResolutionWidth + 53), sum(ResolutionWidth + 54), sum(ResolutionWidth + 55), sum(ResolutionWidth + 56), sum(ResolutionWidth + 57), sum(ResolutionWidth + 58), sum(ResolutionWidth + 59), sum(ResolutionWidth + 60), sum(ResolutionWidth + 61), sum(ResolutionWidth + 62), sum(ResolutionWidth + 63), sum(ResolutionWidth + 64), sum(ResolutionWidth + 65), sum(ResolutionWidth + 66), sum(ResolutionWidth + 67), sum(ResolutionWidth + 68), sum(ResolutionWidth + 69), sum(ResolutionWidth + 70), sum(ResolutionWidth + 71), sum(ResolutionWidth + 72), sum(ResolutionWidth + 73), sum(ResolutionWidth + 74), sum(ResolutionWidth + 75), sum(ResolutionWidth + 76), sum(ResolutionWidth + 77), sum(ResolutionWidth + 78), sum(ResolutionWidth + 79), sum(ResolutionWidth + 80), sum(ResolutionWidth + 81), sum(ResolutionWidth + 82), sum(ResolutionWidth + 83), sum(ResolutionWidth + 84), sum(ResolutionWidth + 85), sum(ResolutionWidth + 86), sum(ResolutionWidth + 87), sum(ResolutionWidth + 88), sum(ResolutionWidth + 89) FROM hits",
"comment": "",
},
{
"query": "SELECT SearchEngineID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM hits WHERE SearchPhrase != '' GROUP BY SearchEngineID, ClientIP ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT WatchID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM hits WHERE SearchPhrase != '' GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT WatchID, ClientIP, count() AS c, sum(Refresh), avg(ResolutionWidth) FROM hits GROUP BY WatchID, ClientIP ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT URL, count() AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT 1, URL, count() AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT ClientIP AS x, x - 1, x - 2, x - 3, count() AS c FROM hits GROUP BY x, x - 1, x - 2, x - 3 ORDER BY c DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT URL, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT DontCountHits AND NOT Refresh AND notEmpty(URL) GROUP BY URL ORDER BY PageViews DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT Title, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT DontCountHits AND NOT Refresh AND notEmpty(Title) GROUP BY Title ORDER BY PageViews DESC LIMIT 10",
"comment": "",
},
{
"query": "SELECT URL, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh AND IsLink AND NOT IsDownload GROUP BY URL ORDER BY PageViews DESC LIMIT 1000",
"comment": "",
},
{
"query": "SELECT TraficSourceID, SearchEngineID, AdvEngineID, ((SearchEngineID = 0 AND AdvEngineID = 0) ? Referer : '') AS Src, URL AS Dst, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 1000",
"comment": "",
},
{
"query": "SELECT URLHash, EventDate, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh AND TraficSourceID IN (-1, 6) AND RefererHash = halfMD5('http://yandex.ru/') GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 100",
"comment": "",
},
{
"query": "SELECT WindowClientWidth, WindowClientHeight, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-31') AND NOT Refresh AND NOT DontCountHits AND URLHash = halfMD5('http://yandex.ru/') GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10000;",
"comment": "",
},
{
"query": "SELECT toStartOfMinute(EventTime) AS Minute, count() AS PageViews FROM hits WHERE CounterID = 34 AND EventDate >= toDate('2013-07-01') AND EventDate <= toDate('2013-07-02') AND NOT Refresh AND NOT DontCountHits GROUP BY Minute ORDER BY Minute;",
"comment": "",
}
];

View File

@ -0,0 +1,52 @@
[
{
"system": "Xeon Gold 6230, 2 sockets, 40 threads",
"time": "2020-01-01 00:00:00",
"result":
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}
]

View File

@ -0,0 +1,103 @@
[
{
"system": "Yandex Cloud Cascade Lake, 64 vCPU (32 threads), 128 GB RAM, 400 GB SSD",
"time": "2020-01-11 00:00:00",
"result":
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},
{
"system": "Yandex Cloud Cascade Lake, 64 vCPU (32 threads), 128 GB RAM, 4 TB SSD",
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"result":
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}
]

View File

@ -0,0 +1,52 @@
[
{
"system": "Yandex Cloud Cascade Lake, 4 vCPU (2 threads), 16 GB RAM, 30 GB SSD",
"time": "2020-01-13 00:00:00",
"result":
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}
]

View File

@ -0,0 +1,52 @@
[
{
"system": "Yandex Cloud Broadwell, 4 vCPU (2 threads), 16 GB RAM, 30 GB SSD",
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[11.382, 2.817, 2.863],
[22.205, 4.495, 4.348],
[34.430, 27.314, 27.662],
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}
]

View File

@ -0,0 +1,52 @@
[
{
"system": "Dell PowerEdge R6415 DX180 AMD EPYC™ 7551P 32-Core Naples (Zen), 128 GB RAM, 2x SSD 960 GB RAID-1",
"time": "2020-01-13 00:00:00",
"result":
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[0.819, 1.096, 0.906],
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]
}
]

View File

@ -0,0 +1,52 @@
[
{
"system": "Dell PowerEdge R640 DX292 2x Xeon SP Gold 16-Core 2.10GHz, 196 GB RAM, 2x SSD 960 GB RAID-1",
"time": "2020-01-13 00:00:00",
"result":
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}
]

View File

@ -0,0 +1,52 @@
[
{
"system": "E5-2650 v2 @ 2.60GHz, 2 sockets, 16 threads, 8xHDD RAID-5",
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[0.362, 0.033, 0.049],
[0.179, 0.035, 0.022],
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]

View File

@ -0,0 +1,52 @@
[
{
"system": "Time4vps.eu VPS (KVM) Linux Ubuntu 4 Core (Skylake) 16GB RAM 160GB Disk",
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@ -0,0 +1,52 @@
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@ -0,0 +1,52 @@
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@ -0,0 +1,102 @@
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View File

@ -0,0 +1,52 @@
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View File

@ -0,0 +1,52 @@
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View File

@ -0,0 +1,52 @@
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View File

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View File

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View File

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View File

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View File

@ -0,0 +1,52 @@
[
{
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View File

@ -0,0 +1,52 @@
[
{
"system": "AMD Ryzen 9 3950X 16-Core Processor, 64 GiB RAM, Intel Optane 900P 280 GB",
"time": "2020-03-14 00:00:00",
"result":
[
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View File

@ -0,0 +1,52 @@
[
{
"system": "Azure E32s v3 32 256 GiB 512 GiB",
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[
[0.003, 0.002, 0.003],
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[0.032, 0.009, 0.007]
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]

View File

@ -0,0 +1,52 @@
[
{
"system": "MacBook Pro 2018, 2.7 GHz Quad-Core Intel Core i7, 16 GiB RAM, 1TB SSD",
"time": "2020-04-04 00:00:00",
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[0.011, 0.007, 0.007]
]
}
]

View File

@ -0,0 +1,52 @@
[
{
"system": "AMD EPYC 7702, 256 cores, 512 GiB, NVMe SSD",
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"result":
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[0.006, 0.002, 0.002],
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View File

@ -0,0 +1,52 @@
[
{
"system": "Intel NUC, 4 cores (Intel i7-6770HQ), 32 GiB RAM, 1 TB NVMe SSD",
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View File

@ -0,0 +1,52 @@
[
{
"system": "AMD EPYC 7502P 32-Core Processor with HT (64 thread) / 512 Gb RAM / mdadm RAID1 SAMSUNG MZQLB3T8HALS-00007 + LVM",
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File diff suppressed because it is too large Load Diff

View File

@ -11,6 +11,19 @@ a:hover, a:active {
text-decoration: underline;
}
.btn.disabled, .btn:disabled {
cursor: default;
opacity: 0.4;
}
.fake-btn {
display: inline-block;
padding: 0.375rem 0.75rem;
text-align: center;
font-size: 1rem;
line-height: 1.5;
}
#logo-icon, #docs-logo-icon {
width: 40px;
}
@ -26,20 +39,16 @@ a:hover, a:active {
line-height: 1.2;
}
.bg-dark-alt {
.bg-dark-alt, .bg-dark-alt:focus {
background: #36363F;
}
.bg-dark-alt:focus {
background: #36363F;
}
.bg-secondary-alt {
.bg-secondary-alt, .bg-secondary-alt:focus {
background: #444451;
}
.bg-secondary-alt:focus {
background: #444451;
.bg-orange, .bg-orange:focus {
background: #f14600;
}
.text-dark-alt {
@ -161,3 +170,27 @@ a.btn-outline-yellow {
.dots-cc {
background: #fff url('/images/dots.svg') repeat-y 50% -17.5%;
}
.benchmark-query-cell {
width: 20rem;
white-space: pre;
overflow-x: hidden;
}
.benchmark-query-cell:hover {
width: auto;
background-color: #efefef;
position: absolute;
padding: 0.5rem;
margin: -0.5rem 0 0 -0.5rem;
overflow-x: auto;
white-space: normal;
}
.benchmark-query-cell-wrapper {
width: 22rem;
}
.w-15 {
width: 15% !important;
}

View File

@ -74,10 +74,13 @@
s.type = "text/javascript";
s.async = true;
s.src = "/js/metrika.js";
if (w.opera == "[object Opera]") {
d.addEventListener("DOMContentLoaded", f, false);
} else { f(); }
if (window.location.hostname.endsWith('clickhouse.tech')) {
if (w.opera == "[object Opera]") {
d.addEventListener("DOMContentLoaded", f, false);
} else {
f();
}
}
})(document, window, "yandex_metrika_callbacks2");
var beforePrint = function() {

View File

@ -1,10 +0,0 @@
server {
listen 80 default;
listen [::]:80 default ipv6only=on;
server_name localhost clickhouse.yandex clickhouse.yandex.ru clickhouse.yandex.com;
return 301 https://clickhouse.tech$request_uri;
}
server {
server_name test.clickhouse.yandex;
return 301 https://test.clickhouse.tech$request_uri;
}

View File

@ -1,41 +0,0 @@
user nginx;
worker_processes auto;
error_log /var/log/nginx/error.log warn;
pid /var/run/nginx.pid;
events {
worker_connections 4096;
multi_accept on;
use epoll;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
log_format main '$remote_addr - $remote_user [$time_local] "$request" '
'$status $body_bytes_sent "$http_referer" '
'"$http_user_agent" "$http_x_forwarded_for"';
access_log /var/log/nginx/access.log main;
sendfile on;
tcp_nopush on;
keepalive_timeout 65;
gzip on;
gzip_comp_level 5;
gzip_min_length 256;
add_header X-Content-Type-Options nosniff always;
add_header X-Frame-Options DENY always;
add_header X-XSS-Protection "1; mode=block" always;
include /etc/nginx/conf.d/*.conf;
include /etc/nginx/sites-enabled/*;
}

View File

@ -5,11 +5,11 @@
<changefreq>daily</changefreq>
</url>
<url>
<loc>https://clickhouse.tech/benchmark.html</loc>
<loc>https://clickhouse.tech/benchmark/dbms/</loc>
<changefreq>weekly</changefreq>
</url>
<url>
<loc>https://clickhouse.tech/benchmark_hardware.html</loc>
<loc>https://clickhouse.tech/benchmark/hardware/</loc>
<changefreq>weekly</changefreq>
</url>
<url>

View File

@ -1 +1,5 @@
<link href="/css/base.css?css_digest" media="all" rel="stylesheet" />
{% for src in extra_css %}
<link href="{{ src }}" media="all" rel="stylesheet" />
{% endfor %}

View File

@ -1,4 +1,8 @@
<script async type="text/javascript" src="/js/base.js?js_digest"></script>
<script{% if not extra_js %} async{% endif %} type="text/javascript" src="/js/base.js?js_digest"></script>
{% for src in extra_js %}
<script type="text/javascript" src="{{ src }}"></script>
{% endfor %}
<noscript>
<div><img src="https://mc.yandex.ru/watch/18343495" alt="Yandex"/></div>

View File

@ -3,10 +3,10 @@
<div class="row text-center">
<div class="col">
<h2 class="display-4 col-lg-10 mx-auto mb-3">ClickHouse works 100-1000x faster than traditional approaches</h2>
<p class="lead">ClickHouse's performance <a href="benchmark.html">exceeds</a> comparable column-oriented DBMS currently available
<p class="lead">ClickHouse's performance <a href="benchmark/dbms/">exceeds</a> comparable column-oriented DBMS currently available
on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second.</p>
<a href="benchmark.html" class="btn btn-lg btn-yellow mt-3 mx-auto" role="button">Detailed comparison</a>
<a href="benchmark/dbms/" class="btn btn-lg btn-yellow mt-3 mx-auto" role="button">Detailed comparison</a>
</div>
</div>
<div class="row mt-5">