webWine opened a new issue, #19411:
URL: https://github.com/apache/echarts/issues/19411
### Version
5.4.3
### Link to Minimal Reproduction
let base = +new Date(1968, 9, 3); let oneDay = 24 * 3600 * 1000; let date =
[]; let data = [Math.random() * 300]; for (let i = 1; i < 20000; i++) { var
now = new Date((base += oneDay)); date.push([now.getFullYear(),
now.getMonth() + 1, now.getDate()].join('/'));
data.push(Math.round((Math.random() - 0.5) * 20 + data[i - 1])); } option = {
tooltip: { trigger: 'axis', position: function (pt) { return
[pt[0], '10%']; } }, title: { left: 'center', text: 'Large Area
Chart' }, xAxis: { type: 'category', boundaryGap: false, data:
date }, yAxis: { type: 'value', boundaryGap: [0, '100%'] },
series: [ { name: 'Fake Data', type: 'line', symbol:
'emptyCircle', symbolSize:9, showAllSymbol:true,
showSymbol:true, itemStyle: { color: 'rgb(255, 70, 131)' },
data: data } ] };
### Steps to Reproduce
let base = +new Date(1968, 9, 3);
let oneDay = 24 * 3600 * 1000;
let date = [];
let data = [Math.random() * 300];
for (let i = 1; i < 20000; i++) {
var now = new Date((base += oneDay));
date.push([now.getFullYear(), now.getMonth() + 1,
now.getDate()].join('/'));
data.push(Math.round((Math.random() - 0.5) * 20 + data[i - 1]));
}
option = {
tooltip: {
trigger: 'axis',
position: function (pt) {
return [pt[0], '10%'];
}
},
title: {
left: 'center',
text: 'Large Area Chart'
},
xAxis: {
type: 'category',
boundaryGap: false,
data: date
},
yAxis: {
type: 'value',
boundaryGap: [0, '100%']
},
series: [
{
name: 'Fake Data',
type: 'line',
symbol: 'emptyCircle',
symbolSize:9,
showAllSymbol:true,
showSymbol:true,
itemStyle: {
color: 'rgb(255, 70, 131)'
},
data: data
}
]
};
### Current Behavior
After using the above configuration, the page will become very laggy. I know
that there will be some optimization after setting 'lttb', but in our usage
scenario, we need to display the full amount of data, and the 'lttb' setting
sometimes skips the extreme Value point, so we can't use it, but even if 'lttb'
is turned on, when there are multiple line graphs, there will be lag even if
the 'symbol' on each line is rare.
### Expected Behavior
In the big data scenario, this lag problem can be optimized. In our
scenario, up to 12 lines will be set, each line has 11,000 pieces of data.
### Environment
```markdown
- OS:
- Browser:
- Framework:
```
### Any additional comments?
_No response_
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