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Alexey Milovidov afcfe939ca Better highlighting
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<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>ClickBench — a Benchmark For Analytical DBMS</title>
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{
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"comment": "",
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{
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{
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{
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{
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{
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[62.0338,26.399,26.3351],
[103.259,36.4122,36.6076],
[92.8828,26.2395,25.8991],
[144.281,63.5102,63.7661],
[7.00679,0.573073,0.536283],
[75.0203,7.86344,7.90495],
[81.2825,9.15868,9.01775],
[104.084,13.9528,13.8435],
[132.531,81.522,82.1561],
[80.6965,3.28231,3.16574],
[39.7693,2.51443,2.43849],
[80.4245,3.26941,3.13916],
[104.015,13.7044,13.5313],
[307.26,253.127,252.147],
[42.8549,22.4187,22.0325],
[137.601,14.9592,14.6804],
[136.767,22.8007,22.131],
[263.005,168.551,163.355],
[156.919,92.6308,91.702],
[160.842,96.0512,97.1773],
[62.8357,28.0336,28.7397],
[1.75869,0.561604,0.541215],
[0.46607,0.191863,0.19021],
[0.303671,0.137579,0.136615],
[2.32031,1.49223,1.52369],
[0.563764,0.14192,0.138234],
[0.372428,0.122989,0.123709],
[0.448574,0.159092,0.154687]
]
}
,
{
"system": "TimescaleDB",
"date": "2022-07-01",
"machine": "c6a.4xlarge, 500gb gp2",
"cluster_size": 1,
"comment": "",
"tags": ["C", "PostgreSQL compatible", "row-oriented", "time-series"],
"load_time": 1620,
"data_size": 72882392030,
"result": [
[437.700,215.793,176.420],
[327.026,259.568,244.578],
[262.978,263.090,263.083],
[262.807,263.046,266.847],
[337.497,334.964,330.852],
[355.689,356.801,362.894],
[262.762,263.012,262.968],
[263.055,263.016,263.028],
[319.928,319.388,320.704],
[323.584,322.224,322.488],
[265.979,265.465,265.375],
[266.019,265.543,265.462],
[277.018,276.300,276.595],
[280.352,279.251,279.572],
[279.915,279.896,279.674],
[296.377,298.506,297.659],
[314.448,314.605,312.570],
[302.668,302.672,303.039],
[325.810,324.061,324.376],
[262.447,262.698,262.704],
[267.581,267.467,267.482],
[268.085,267.466,267.696],
[263.391,263.097,263.126],
[38.291,0.435,0.335],
[0.127,0.005,0.005],
[263.138,263.100,263.092],
[0.889,0.341,0.339],
[267.586,267.498,267.491],
[289.086,290.012,290.093],
[263.220,263.071,263.109],
[274.780,273.995,273.998],
[282.217,281.390,281.470],
[429.273,426.588,439.431],
[448.808,418.724,418.207],
[455.196,422.750,423.142],
[299.263,296.937,297.261],
[18.693,1.552,1.481],
[18.125,0.945,0.937],
[18.528,1.062,0.902],
[18.268,1.779,1.770],
[19.615,1.965,1.966],
[18.970,1.435,1.430],
[18.330,1.153,0.952]
]
}
,
{
"system": "Vertica",
"date": "2022-07-01",
"machine": "c6a.4xlarge, 500gb gp2",
"cluster_size": 1,
"comment": "",
"tags": ["column-oriented"],
"load_time": 12239,
"data_size": 22597367016,
"result": [
[0.031357,0.020759,0.019373],
[0.156612,0.033543,0.032149],
[0.404881,0.124383,0.124252],
[0.220711,0.074036,0.070379],
[2.19663,2.18441,2.1763],
[11.5901,11.4847,11.4573],
[0.160286,0.063093,0.064844],
[0.116135,0.047536,0.046322],
[2.36592,2.15174,2.15675],
[4.42049,4.37322,4.38596],
[1.24771,1.17476,1.21011],
[1.30116,1.24332,1.24521],
[14.0523,13.9236,13.9943],
[39.8961,39.7911,39.771],
[14.6776,14.5524,14.5899],
[2.82581,2.71968,2.72123],
[48.4932,48.4037,48.4298],
[36.8767,36.7432,36.9178],
[108.743,108.81,108.671],
[0.02734,0.018601,0.018892],
[8.98822,4.2958,4.38323],
[10.0097,4.31009,4.26843],
[14.2354,5.48257,5.47171],
[3.29109,0.405847,0.337797],
[0.088318,0.079666,0.091852],
[1.05864,1.26979,1.81786],
[0.087436,0.092269,0.087506],
[15.0424,15.0873,15.2561],
[22.1566,22.1208,21.9509],
[2.59797,2.46053,2.46406],
[3.63938,3.68086,3.68988],
[6.58816,4.84546,4.8853],
[20.7209,20.4806,20.5823],
[77.3779,78.1301,77.4366],
[77.2494,77.646,77.4976],
[6.79571,6.81133,6.67973],
[0.887148,0.782822,0.753053],
[0.369373,0.339676,0.338677],
[0.099038,0.089598,0.099019],
[2.15693,2.01152,2.00868],
[0.096018,0.052062,0.053813],
[0.058647,0.046352,0.045415],
[0.106915,0.077122,0.076134]
]
}
]; // end of data
</script>
</head>
<body>
<div class="header stick-left">
<h1>ClickBench — a Benchmark For Analytical DBMS</h1>
<a href="https://github.com/ClickHouse/ClickBench/">Methodology</a> | <a href="https://github.com/ClickHouse/ClickBench/">Reproduce and Validate the Results</a> | <a href="https://github.com/ClickHouse/ClickBench/">Add a System</a> | <a href="https://github.com/ClickHouse/ClickBench/">Report Mistake</a> | <a href="https://clickhouse.com/benchmark/hardware/">Hardware Benchmark</a>
</div>
<table class="selectors-container stick-left">
<tr>
<th>System: </th>
<td id="selectors_system">
<a id="select-all-systems" class="selector selector-active">All</a>
</td>
</tr>
<tr>
<th>Type: </th>
<td id="selectors_type">
<a id="select-all-types" class="selector selector-active">All</a>
</td>
</tr>
<tr>
<th>Machine: </th>
<td id="selectors_machine">
<a id="select-all-machines" class="selector selector-active">All</a>
</td>
</tr>
<tr>
<th>Cluster size: </th>
<td id="selectors_cluster_size">
<a id="select-all-cluster-sizes" class="selector selector-active">All</a>
</td>
</tr>
<tr>
<th>Metric: </th>
<td id="selectors_run">
<a class="selector" id="selector-metric-cold">Cold Run</a>
<a class="selector" id="selector-metric-hot">Hot Run</a>
<a class="selector" id="selector-metric-load">Load Time</a>
<a class="selector" id="selector-metric-size">Storage Size</a>
</td>
</tr>
</table>
<table class="stick-left comparison">
<thead>
<tr>
<th class="summary-name">
System &amp; Machine
</th>
<th colspan="2">
Relative <span id="time-or-size">time</span> (lower is better)
</th>
</tr>
</thead>
<tbody id="summary">
</tbody>
</table>
<div id="nothing-selected" class="stick-left">Nothing selected</div>
<div class="stick-left comparison">
<h2>Detailed Comparison</h2>
</div>
<table id="details">
<thead>
<tr id="details_head">
</tr>
</thead>
<tbody id="details_body">
</tbody>
</table>
<div id="legend" class="stick-left comparison"></div>
<script type="text/javascript">
const constant_time_add = 0.01;
const missing_result_penalty = 2;
const missing_result_time = 300;
let selectors = {
"system": {},
"type": {},
"machine": {},
"cluster_size": {},
"metric": "hot",
"queries": [],
};
/// Generate selectors
let systems = document.getElementById('selectors_system');
let types = document.getElementById('selectors_type');
let machines = document.getElementById('selectors_machine');
let cluster_sizes = document.getElementById('selectors_cluster_size');
let unique_systems = [... new Set(data.map(elem => elem.system))];
function toggle(e, elem, selectors_map) {
selectors_map[elem] = !selectors_map[elem];
e.target.className = selectors_map[elem] ? 'selector selector-active' : 'selector';
render();
updateHistory();
}
function toggleAll(e, selectors_map) {
const new_value = Object.keys(selectors_map).filter(k => selectors_map[k]).length * 2 < Object.keys(selectors_map).length;
[...e.target.parentElement.querySelectorAll('a')].map(
elem => { elem.className = new_value ? 'selector selector-active' : 'selector' });
Object.keys(selectors_map).map(k => { selectors_map[k] = new_value });
render();
updateHistory();
}
unique_systems.map(elem => {
let selector = document.createElement('a');
selector.className = 'selector selector-active';
selector.appendChild(document.createTextNode(elem));
systems.appendChild(selector);
if (!(elem in selectors.system)) { selectors.system[elem] = true; }
selector.addEventListener('click', e => toggle(e, elem, selectors.system));
/// Highlighting summary rows and table columns on hovering over the system selector.
selector.addEventListener('mouseover', e => {
[...document.querySelectorAll('.summary-row')].map(row => {
row.className = row.dataset.system == elem ? 'summary-row summary-row-hilite' : 'summary-row' });
[...document.querySelectorAll('.th-entry')].map(th => {
th.className = th.dataset.system == elem ? 'th-entry th-entry-hilite' : 'th-entry' });
});
selector.addEventListener('mouseout', e => {
[...document.querySelectorAll('.summary-row')].map(row => { row.className = 'summary-row' });
[...document.querySelectorAll('.th-entry')].map(row => { row.className = 'th-entry' });
});
});
[... new Set(data.map(elem => elem.tags).flat())].map(elem => {
let selector = document.createElement('a');
selector.className = 'selector selector-active';
selector.appendChild(document.createTextNode(elem));
types.appendChild(selector);
if (!(elem in selectors.type)) { selectors.type[elem] = true; }
selector.addEventListener('click', e => toggle(e, elem, selectors.type));
});
[... new Set(data.map(elem => elem.machine))].map(elem => {
let selector = document.createElement('a');
selector.className = 'selector selector-active';
selector.appendChild(document.createTextNode(elem));
machines.appendChild(selector);
if (!(elem in selectors.machine)) { selectors.machine[elem] = true; }
selector.addEventListener('click', e => toggle(e, elem, selectors.machine));
});
[... new Set(data.map(elem => elem.cluster_size))].sort(
(a, b) => ((typeof(b) === 'number') - (typeof(a) === 'number')) || (a - b)).map(elem => {
let selector = document.createElement('a');
selector.className = 'selector selector-active';
selector.appendChild(document.createTextNode(elem));
cluster_sizes.appendChild(selector);
if (!(elem in selectors.cluster_size)) { selectors.cluster_size[elem] = true; }
selector.addEventListener('click', e => toggle(e, elem, selectors.cluster_size));
});
document.getElementById('select-all-systems').addEventListener('click', e => toggleAll(e, selectors.system));
document.getElementById('select-all-types').addEventListener('click', e => toggleAll(e, selectors.type));
document.getElementById('select-all-machines').addEventListener('click', e => toggleAll(e, selectors.machine));
document.getElementById('select-all-cluster-sizes').addEventListener('click', e => toggleAll(e, selectors.cluster_size));
[...document.getElementById('selectors_run').querySelectorAll('a')].map(elem => elem.addEventListener('click', e => {
[...e.target.parentElement.querySelectorAll('a')].map(elem => { elem.className = elem == e.target ? 'selector selector-active' : 'selector' });
}));
document.getElementById('selector-metric-cold').addEventListener('click', e => { selectors.metric = 'cold'; render(); updateHistory(); });
document.getElementById('selector-metric-hot').addEventListener('click', e => { selectors.metric = 'hot'; render(); updateHistory(); });
document.getElementById('selector-metric-load').addEventListener('click', e => { selectors.metric = 'load'; render(); updateHistory(); });
document.getElementById('selector-metric-size').addEventListener('click', e => { selectors.metric = 'size'; render(); updateHistory(); });
selectors.queries = [...data[0].result.keys()].map(k => true);
function updateSelectors() {
[...systems.childNodes].map(elem => { elem.className = selectors.system[elem.innerText] ? 'selector selector-active' : 'selector' });
[...types.childNodes].map(elem => { elem.className = selectors.type[elem.innerText] ? 'selector selector-active' : 'selector' });
[...machines.childNodes].map(elem => { elem.className = selectors.machine[elem.innerText] ? 'selector selector-active' : 'selector' });
[...cluster_sizes.childNodes].map(elem => { elem.className = selectors.cluster_size[elem.innerText] ? 'selector selector-active' : 'selector' });
[...document.getElementById('selectors_run').querySelectorAll('a')].map(elem => {
elem.className = elem.id == 'selector-metric-' + selectors.metric ? 'selector selector-active' : 'selector' });
[...document.querySelectorAll('.query-checkbox')].map((elem, i) => { elem.checked = selectors.queries[i] });
}
function clearElement(elem)
{
while (elem.firstChild) {
elem.removeChild(elem.lastChild);
}
}
function selectRun(timings) {
return selectors.metric == 'cold' ? timings[0] : (timings[1] !== null && timings[2] !== null ? Math.min(timings[1], timings[2]) : null)
}
function renderSummary(filtered_data) {
let table = document.getElementById('summary');
clearElement(table);
/// Generate summary
/// The algorithm: for each of the queries,
/// - if there is a result - take query duration, add 10 ms, and divide it to the corresponding value from the baseline,
/// - if there is no result - take the worse query duration across all query runs for this system and multiply by 2.
/// Take geometric mean across the queries.
let summary = {};
const num_queries = filtered_data[0].result.length;
const baseline_data = [...filtered_data[0].result.keys()].map(query_num =>
[...Array(3).keys()].map(run_num =>
Math.min(...filtered_data.map(elem => elem.result[query_num][run_num]).filter(x => x))));
const min_load_time = Math.min(...filtered_data.map(elem => elem.load_time).filter(x => x));
const min_data_size = Math.min(...filtered_data.map(elem => elem.data_size).filter(x => x));
let summaries;
if (selectors.metric == 'load') {
summaries = filtered_data.map(elem => elem.load_time / min_load_time);
document.getElementById('time-or-size').innerText = 'time';
} else if (selectors.metric == 'size') {
summaries = filtered_data.map(elem => elem.data_size / min_data_size);
document.getElementById('time-or-size').innerText = 'size';
} else {
summaries = filtered_data.map(elem => {
const fallback_timing = missing_result_penalty * Math.max(missing_result_time, ...elem.result.map(timings => selectRun(timings)));
let accumulator = 0;
let used_queries = 0;
const no_queries_selected = selectors.queries.filter(x => x).length == 0;
for (let i = 0; i < num_queries; ++i) {
if (no_queries_selected || selectors.queries[i]) {
const curr_timing = selectRun(elem.result[i]) ?? fallback_timing;
const baseline_timing = selectRun(baseline_data[i]);
const ratio = (constant_time_add + curr_timing) / (constant_time_add + baseline_timing);
accumulator += Math.log(ratio);
++used_queries;
}
}
return Math.exp(accumulator / used_queries);
});
document.getElementById('time-or-size').innerText = 'time';
}
const sorted_indices = [...summaries.keys()].sort((a, b) => summaries[a] - summaries[b]);
const max_ratio = summaries[sorted_indices[sorted_indices.length - 1]];
sorted_indices.map(idx => {
const elem = filtered_data[idx];
if (selectors.metric == 'size' && elem.data_size === null) { return; }
let tr = document.createElement('tr');
tr.className = 'summary-row';
tr.dataset.system = elem.system;
let td_name = document.createElement('td');
td_name.className = 'summary-name';
let link = document.createElement('a');
link.appendChild(document.createTextNode(`${elem.system} (${elem.machine})`));
link.href = "https://github.com/ClickHouse/ClickBench/" + elem.system;
td_name.appendChild(link);
td_name.appendChild(document.createTextNode(': '));
const ratio = summaries[idx];
const percentage = summaries[idx] / max_ratio * 100;
let td_number = document.createElement('td');
td_number.className = 'summary-number';
const text = selectors.metric == 'load' ? (elem.load_time ? `${Math.round(elem.load_time)}s (×${ratio.toFixed(2)})` : 'stateless')
: selectors.metric == 'size' ? `${(elem.data_size / 1024 / 1024 / 1024).toFixed(2)} GiB (×${ratio.toFixed(2)})`
: `×${ratio.toFixed(2)}`;
td_number.appendChild(document.createTextNode(text));
let td_bar = document.createElement('td');
td_bar.className = 'summary-bar-cell';
let bar = document.createElement('div');
bar.className = `summary-bar`;
bar.style.width = `${percentage}%`;
td_bar.appendChild(bar);
tr.appendChild(td_name);
tr.appendChild(td_bar);
tr.appendChild(td_number);
table.appendChild(tr);
});
return [sorted_indices, baseline_data];
}
function colorize(elem, ratio) {
let [r, g, b] = [0, 0, 0];
/// ratio less than 1 - green
/// ratio from 1 to 10 - green to orange
/// ratio from 10 to 100 - orange to red
/// ratio from 100 to 1000 to infinity - red to brown to black
if (ratio !== null) {
if (ratio < 1) {
r = 232;
g = 255;
b = 232;
} else if (ratio <= 1) {
g = 255;
} else if (ratio <= 2) {
g = 255;
r = (ratio - 1) * 255;
} else if (ratio <= 10) {
g = (10 - ratio) / 9 * 255;
r = 255;
} else {
r = (1 - ((ratio - 10) / ((ratio - 10) + 1000))) * 255;
}
}
elem.style.backgroundColor = `rgb(${r}, ${g}, ${b})`;
if (ratio === null || ratio > 10) {
elem.style.color = 'white';
}
if (ratio == 1) {
elem.style.fontWeight = 'bold';
}
}
function render() {
let details_head = document.getElementById('details_head');
let details_body = document.getElementById('details_body');
clearElement(details_head);
clearElement(details_body);
let filtered_data = data.filter(elem =>
selectors.system[elem.system] &&
selectors.machine[elem.machine] &&
selectors.cluster_size[elem.cluster_size] &&
elem.tags.filter(type => selectors.type[type]).length > 0);
let nothing_selected_elem = document.getElementById('nothing-selected');
if (filtered_data.length == 0) {
nothing_selected_elem.style.display = 'block';
[...document.querySelectorAll('.comparison')].map(e => e.style.display = 'none');
return;
}
nothing_selected_elem.style.display = 'none';
[...document.querySelectorAll('.comparison')].map(e => e.style.display = 'block');
const [sorted_indices, baseline_data] = renderSummary(filtered_data);
/// Generate details
/// Global checkbox
{
let th_checkbox = document.createElement('th');
let checkbox = document.createElement('input');
checkbox.type = 'checkbox';
checkbox.checked = true;
checkbox.addEventListener('change', e => {
[...document.querySelectorAll('.query-checkbox')].map(elem => { elem.checked = e.target.checked });
selectors.queries.map((_, i) => { selectors.queries[i] = e.target.checked });
renderSummary(filtered_data);
updateHistory();
});
th_checkbox.appendChild(checkbox);
details_head.appendChild(th_checkbox);
details_head.appendChild(document.createElement('th'));
}
/// Table header
sorted_indices.map(idx => {
const elem = filtered_data[idx];
let th = document.createElement('th');
th.appendChild(document.createTextNode(`${elem.system}\n(${elem.machine})`));
th.className = 'th-entry';
th.dataset.system = elem.system;
details_head.appendChild(th);
});
/// Load times
{
let tr = document.createElement('tr');
tr.className = 'shadow';
let td_title = document.createElement('td');
td_title.colSpan = 2;
td_title.appendChild(document.createTextNode('Load time: '));
tr.appendChild(td_title);
sorted_indices.map(idx => {
const curr_timing = filtered_data[idx].load_time;
const baseline_timing = Math.min(...filtered_data.map(elem => elem.load_time).filter(x => x));
const ratio = curr_timing / baseline_timing;
let td = document.createElement('td');
td.appendChild(document.createTextNode(curr_timing ? `${curr_timing.toFixed(2)} (×${ratio.toFixed(2)})` : '0'));
colorize(td, ratio);
tr.appendChild(td);
});
details_body.appendChild(tr);
}
/// Data sizes
{
let tr = document.createElement('tr');
tr.className = 'shadow';
let td_title = document.createElement('td');
td_title.colSpan = 2;
td_title.appendChild(document.createTextNode('Data size: '));
tr.appendChild(td_title);
sorted_indices.map(idx => {
const curr_size = filtered_data[idx].data_size;
const baseline_size = Math.min(...filtered_data.map(elem => elem.data_size).filter(x => x));
const ratio = curr_size !== null ? curr_size / baseline_size : null;
let td = document.createElement('td');
td.appendChild(document.createTextNode(curr_size !== null ? `${(curr_size / 1024 / 1024 / 1024).toFixed(2)} GiB (×${ratio.toFixed(2)})` : '☠'));
colorize(td, ratio);
tr.appendChild(td);
});
details_body.appendChild(tr);
}
/// Query runtimes
const num_queries = filtered_data[0].result.length;
for (let query_num = 0; query_num < num_queries; ++query_num) {
let tr = document.createElement('tr');
tr.className = 'shadow';
let td_checkbox = document.createElement('td');
let checkbox = document.createElement('input');
checkbox.type = 'checkbox';
checkbox.className = 'query-checkbox';
checkbox.checked = true;
checkbox.addEventListener('change', e => {
selectors.queries[query_num] = e.target.checked;
renderSummary(filtered_data);
updateHistory();
});
td_checkbox.appendChild(checkbox);
tr.appendChild(td_checkbox);
let td_query_num = document.createElement('td');
td_query_num.appendChild(document.createTextNode(`Q${query_num}. `));
tr.appendChild(td_query_num);
sorted_indices.map(idx => {
const curr_timing = selectRun(filtered_data[idx].result[query_num]);
const baseline_timing = selectRun(baseline_data[query_num]);
const ratio = curr_timing !== null ? (constant_time_add + curr_timing) / (constant_time_add + baseline_timing) : null;
let td = document.createElement('td');
td.appendChild(document.createTextNode(curr_timing !== null ? `${curr_timing.toFixed(2)} (×${ratio.toFixed(2)})` : '☠'));
colorize(td, ratio);
tr.appendChild(td);
});
tr.addEventListener('mouseover', e => {
let legend = document.getElementById('legend');
legend.innerText = `Query ${query_num}: ${queries[query_num]}`;
});
details_body.appendChild(tr);
}
}
function updateHistory() {
history.pushState(selectors, '',
window.location.pathname + (window.location.search || '') + '#' + btoa(JSON.stringify(selectors)));
}
window.onpopstate = function(event) {
if (!event.state) { return; }
selectors = event.state;
render();
updateSelectors();
};
if (window.location.hash) {
try {
selectors = JSON.parse(atob(window.location.hash.substring(1)));
} catch {}
}
render();
updateSelectors();
</script>
</body>
</html>
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