ClickHouse/website/benchmark_hardware.html

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<title>Performance Comparison Of ClickHouse On Various Hardware</title>
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2020-01-11 17:25:03 +00:00
{
"system": "Yandex Cloud Cascade Lake, 64 vCPU (32 threads), 128 GB RAM, 400 GB SSD",
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2020-01-12 14:15:26 +00:00
{
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2020-01-13 12:02:19 +00:00
{
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[0.134, 0.021, 0.021],
[0.121, 0.007, 0.006]
]
},
{
"system": "Lenovo B580 Laptop (i5-3210M)",
"data_size": 100000000,
"time": "2020-01-11 00:00:00",
"result":
[
[0.035, 0.003, 0.005],
[0.093, 0.064, 0.060],
[0.265, 0.170, 0.167],
[0.880, 0.251, 0.266],
[0.954, 0.593, 0.561],
[2.140, 1.506, 1.525],
[0.148, 0.096, 0.105],
[0.064, 0.048, 0.044],
[2.727, 2.330, 2.280],
[3.386, 3.210, 2.951],
[1.218, 0.787, 0.749],
[1.293, 0.915, 0.904],
[3.713, 3.224, 3.190],
[4.943, 4.338, 4.310],
[4.503, 3.999, 3.918],
[4.001, 3.686, 4.144],
[10.714, 10.011, 10.035],
[7.456, 6.556, 6.675],
[20.201, 19.238, 19.135],
[0.888, 0.217, 0.209],
[9.685, 4.144, 4.023],
[11.201, 4.648, 4.636],
[21.037, 10.712, 10.571],
[18.186, 4.743, 4.743],
[2.844, 1.379, 1.358],
[1.623, 1.138, 1.130],
[2.861, 1.394, 1.417],
[9.691, 4.191, 4.129],
[10.285, 7.381, 7.379],
[6.879, 6.871, 6.829],
[4.131, 3.336, 3.240],
[7.157, 4.666, 4.616],
[29.371, 36.392, 29.946],
[17.929, 14.223, 14.127],
[17.058, 13.998, 14.055],
[5.667, 5.460, 5.408],
[0.325, 0.230, 0.217],
[0.115, 0.101, 0.094],
[0.148, 0.093, 0.084],
[0.585, 0.464, 0.459],
[0.078, 0.042, 0.035],
[0.057, 0.038, 0.032],
[0.024, 0.011, 0.010]
]
},
];
</script>
<script type="text/javascript">
var data_sizes =
[
{ id: "100000000", name: "100 mln." },
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}
function generate_selectors(elem) {
var html = "<p id='systems_selector'>Compare: ";
var available_systems_for_current_data_size = results.
filter(function(run) { return run.data_size == current_data_size; }).
map(function(run) { return run.system; });
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var available = available_systems_for_current_data_size.indexOf(systems[i]) != -1;
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(selected && available ? "selected" : "") +
(available ? "" : " disabled") +
"'>" + systems[i] + "</span> ";
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html += "<p id='data_size_selector'>";
html += "Dataset size: ";
for (var i = 0; i < data_sizes.length; i++) {
html += "<span class='" + (data_sizes[i].id == current_data_size ? "selected" : "") + "' data-size-id='" + data_sizes[i].id + "'>" + data_sizes[i].name + "</span> ";
}
html += "</p>";
html += "<p id='runs_selector'>";
html += "Run number: ";
for (var i = 0; i < runs.length; i++) {
html += "<span class='" + (current_runs.indexOf(String(i)) != -1 ? "selected" : "") + "' data-run-id='" + i + "'>" + runs[i] + "</span> ";
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elem.html(html);
$('#systems_selector span:not(.disabled)').click(function(event) {
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current_systems = $.map($('#systems_selector span'), function(elem) {
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update_hash();
generate_selectors(elem);
generate_comparison_table();
generate_diagram();
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generate_selectors(elem);
generate_comparison_table();
generate_diagram();
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generate_comparison_table();
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html += value ?
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"—";
html += "</td>";
return html;
}
/* Отношения времени выполнения запроса к лучшему времени по системам:
* номер системы -> номер запуска -> номер запроса -> отношение.
*/
var ratios = [];
function generate_comparison_table() {
ratios = [];
var filtered_results = results.filter(function(x) {
return x.data_size == current_data_size && current_systems.indexOf(x.system) != -1; });
var html = "";
html += "<table class='comparison_table'>";
html += "<tr>";
html += "<th><input id='query_checkbox_toggler' type='checkbox' checked /></th>";
html += "<th style='text-align: left;'>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><div class='query_cell'>" + queries[i].query + "</div></td>";
// Вычислим максимальное и минимальное время выполнения по системам, для каждого из трёх прогонов.
var minimums = [0, 0, 0], maximums = [0, 0, 0];
for (var j = 0; j < filtered_results.length; j++) {
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// Меньше 10 мс. не различаем.
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++) {
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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'><div class='query_cell'>Geometric mean of ratios</div></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' style='text-align: center; background-color: #FFF; font-weight: bold;'></th>";
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}
html += "</tr>";
html += "<tr>";
for (var j = 0; j < filtered_results.length; j++) {
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}
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.filter(function(x) {
return x.data_size == current_data_size && 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));
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}
for (var j = 0; j < filtered_results.length; j++) {
var total_ratio = Math.pow(total_ratios[j], 1 / current_runs.length);
$("#absolute_totals" + j).attr("data-ratio", total_ratio).html("x" + total_ratio.toFixed(2));
}
}
function generate_diagram() {
var html = "";
var filtered_results = results.filter(function(x) {
return x.data_size == current_data_size && current_systems.indexOf(x.system) != -1; });
var max_ratio = 1;
var min_ratio = 0;
var max_total_ratio = 1;
var min_total_ratio = 0;
for (var j = 0; j < filtered_results.length; j++) {
for (var current_run_idx = 0; current_run_idx < current_runs.length; current_run_idx++) {
var k = current_runs[current_run_idx];
var ratio = +$("#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 = +$("#absolute_totals" + j).attr("data-ratio");
if (total_ratio > max_total_ratio) {
max_total_ratio = total_ratio;
}
if (!min_total_ratio || total_ratio < min_total_ratio) {
min_total_ratio = total_ratio;
}
}
html += "<table style='width: 100%'>";
for (var j = 0; j < filtered_results.length; j++) {
var total_ratio = +$("#absolute_totals" + j).attr("data-ratio");
html += "<tr>";
html += "<td style='text-align: right;'><b>" + filtered_results[j].system + "</b>" +
(filtered_results[j].version ? "<br />(" + filtered_results[j].version.replace(/ /g, '&nbsp;') + ")" : "") + "</td>";
html += "<td style='width: 100%; padding-right: 20px;'>";
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='bar' style='width: " + percents + "%;'>&nbsp;</div>";
}
html += "</td>";
//min_total_ratio = 1;
//total_ratio = 1;
html += "<td style='text-align: right; font-weight: bold;'>" + (total_ratio / min_total_ratio).toFixed(2) + "</td>";
html += "</tr>";
}
html += "</table>";
$('#diagram').html(html);
}
</script>
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<a href="/" title="Main page">
<svg xmlns="http://www.w3.org/2000/svg" width="45" height="40" viewBox="0 0 9 8">
<style>
.o{fill:#fc0}
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</div>
<h1 class='title'>Performance Comparison Of ClickHouse On Various Hardware</h1>
</div>
<div class='island'>
<div id='selectors'></div>
<h2>Relative query processing time (lower is better):</h2>
<div id='diagram' style='width: 100%;'></div>
<br />
<h2>Full results:</h2>
<div id='comparison_table'></div>
</div>
<div class='island'>
Results for Lenovo B580 Laptop are from <b>Ragıp Ünal</b>. 16GB RAM 1600 GHz, 240GB SSD, Intel(R) Core(TM) i5-3210M CPU @ 2.50GHz (2 Core / 4 HT)<br/>
2020-01-13 12:02:19 +00:00
Results for Time4vps.eu are from <b>Ragıp Ünal</b>.<br/>
Submit your own results: <a href="https://clickhouse.yandex/docs/en/operations/performance_test/">https://clickhouse.yandex/docs/en/operations/performance_test/</a>
</div>
<script type="text/javascript">
generate_selectors($('#selectors'));
generate_comparison_table();
generate_diagram();
</script>
</body>
</html>