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Example of an easy way to generate a visual timeline in HTML from timing/profiling data using the Google charts API
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<!DOCTYPE html> | |
<html> | |
<head> | |
<script type='text/javascript' src='https://www.google.com/jsapi'></script> | |
<script type='text/javascript'> | |
google.load('visualization', '1.1', { packages: ['timeline'] }); | |
google.setOnLoadCallback(createChart); | |
window.onresize = createChart; | |
function createChart() { | |
var container = document.getElementById('div_timeline'); | |
var chart = new google.visualization.Timeline(container); | |
var data = new google.visualization.DataTable(); | |
data.addColumn({ type: 'string', id: 'RowLabel' }); | |
data.addColumn({ type: 'string', id: 'BarLabel' }); | |
data.addColumn({ type: 'string', role: 'tooltip', 'p': { 'html': true } }); | |
data.addColumn({ type: 'date', id: 'Start' }); | |
data.addColumn({ type: 'date', id: 'End' }); | |
data.addRows([ | |
['Group1', 'Item1', 'this is a tooltip for Item1.cpp', new Date(1485183398349.28) /* 2017-01-23 14:56:38.349 */, new Date(1485183403210.01) /* 2017-01-23 14:56:43.210 */], | |
['Group1', 'Item2', 'this is a tooltip for Item2.cpp', new Date(1485183398349.28) /* 2017-01-23 14:56:38.349 */, new Date(1485183404293.85) /* 2017-01-23 14:56:44.293 */], | |
['Group2', 'Item3', 'this is a tooltip for Item3.cpp', new Date(1485183404293) /* 2017-01-23 14:57:06.839 */, new Date(1485183423010.27) /* 2017-01-23 14:57:11.891 */], | |
['Group3', 'Item4', 'this is a tooltip for Item4.cpp', new Date(1485183425010) /* 2017-01-23 14:57:14.014 */, new Date(1485183434895.97) /* 2017-01-23 14:57:14.895 */], | |
['Group3', 'Item5', 'this is a tooltip for Item5.cpp', new Date(1485183427010.3) /* 2017-01-23 14:57:14.484 */, new Date(1485183430862.57) /* 2017-01-23 14:57:14.862 */], | |
]); | |
// Hack from Stack Overflow to try and re-size the vertical extents of the chart to | |
// avoid vertical scrolling. See http://stackoverflow.com/questions/18640818/google-charts-timeline-dynamic-height-with-scalebar-position | |
// set a padding value to cover the height of title and axis values | |
var paddingHeight = 40; | |
// set the height to be covered by the rows | |
var rowHeight = data.getNumberOfRows() * 45; | |
// set the total chart height | |
var estimatedHeight = rowHeight + paddingHeight; | |
var options = { | |
timeline: { | |
showRowLabels: true, | |
colorByRowLabel: true, | |
rowLabelStyle: { fontName: 'Arial', color: '#FFFFFF' }, | |
barLabelStyle: { fontName: 'Arial' /* bar label color cannot be set viat the API */ } | |
}, | |
backgroundColor: '#999999', | |
avoidOverlappingGridLines: false, | |
height: estimatedHeight | |
}; | |
chart.draw(data, options); | |
} | |
</script> | |
</head> | |
<body> | |
<h1>Your title goes here</h1> | |
<div id='div_timeline'></div> | |
</body> | |
</html> |
See Aras Pranckevičius' (@aras-p) blog entry on how to make an interactive version that works within the Chrome profiler: http://aras-p.info/blog/2017/01/23/Chrome-Tracing-as-Profiler-Frontend/
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Here's an example of actual production output: