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ClickHouse/website/benchmark.html
Alexey Milovidov 1399d9d4aa Updated benchmark data for ClickHouse
2019-01-27 00:39:28 +03:00

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<title>Performance comparison of analytical DBMS</title>
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/* Отношения времени выполнения запроса к лучшему времени по системам:
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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++) {
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;
// 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++) {
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'><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>";
}
}
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' style='text-align: center; background-color: #FFF; font-weight: bold;'></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.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));
}
}
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>";
$('#diagram').html(html);
}
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<div style="float: left; margin-right: -100%; margin-top: -1px;">
<a href="/" title="Main page">
<svg xmlns="http://www.w3.org/2000/svg" width="45" height="40" viewBox="0 0 9 8">
<style>
.o{fill:#fc0}
.r{fill:#f00}
</style>
<path class="r" d="M0,7 h1 v1 h-1 z"/>
<path class="o" d="M0,0 h1 v7 h-1 z"/>
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</div>
<h1 class='title'>Performance comparison of analytical DBMS</h1>
</div>
<div class='island'>
<p>Most results are for single server setup. The server is: two socket Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz; 128 GiB RAM; md RAID-5 on 8 6TB SATA HDD; ext4.</p>
<p>Some additional results (marked as x2, x3, x6) are for clustered setup for comparison. These results are contributed from independent teams and hardware specification may differ.</p>
<p>Disclaimer: some results are significantly outdated. Results for MonetDB was obtained at 2013 for version v11.15.11 (Feb2013-SP3). Results for MemSQL was obtained at 2015 for version 3.2. Results for Vertica are from 2015 for version 7.1.1.</p>
</div>
<div class='island'>
<div id='selectors'></div>
<h2>Relative query processing time (lower is better):</h2>
<div id='diagram' style='width: 100%;'></div>
<br />
<h2>Full results:</h2>
<div id='comparison_table'></div>
</div>
<script type="text/javascript">
generate_selectors($('#selectors'));
generate_comparison_table();
generate_diagram();
</script>
</body>
</html>
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