使用appendData分多次(每次数据量大概1万5,总数据量50万-150万+)渲染数据,会导致整个页面很卡顿,cpu达到120%-250%左右!
Version
4.0
Steps to reproduce
使用appendData分批加载数据,并且sampling设置为默认,即不做降采样策略,如果做这个的话会影响整体的曲线。
What is expected?
期望能够顺畅加载,不卡顿
What is actually happening?
页面很卡顿,导致cpu一直飙涨
Any additional comments? (optional)
function getConfig() {
const legendData = chartData.map(item => item.name);
const yData = [];
for (let index = 0; index < legendData.length; index++) {
yData.push({
name: legendData[index],
type: 'line',
smooth: 0.4,
// sampling: 'average',
connectNulls: true,
showSymbol: false,
hoverAnimation: false,
data: chartData[index].points
})
}
const option = {
title: {
text: selectedKey
},
tooltip: {
trigger: 'axis',
// axisPointer: false,
// animation: false,
padding: 10,
formatter: function (params) {
let res = moment(params[0].axisValue).format('MM-DD HH:mm:ss.SSS') + '<br/>';
for (let i = 0, l = params.length; i < l; i++) {
res += (i === 0 ? '' : '<br />') + params[i].marker + params[i].seriesName + ' : ' + params[i].value[1];
}
return res;
},
axisPointer: {
animation: false
}
},
color: ['blue', 'yellow', 'green'],
legend: {
data: legendData
},
grid: {
left: '3%',
right: '4%',
bottom: '10%',
containLabel: true
},
backgroundColor: 'transparent',
xAxis: {
type: 'time',
axisLabel: {
formatter: (function (value) {
return moment(value).format('MM-DD HH:mm:ss.SSS');
})
}
},
yAxis: [{
type: 'value',
// boundaryGap: [0, '100%'],
// min: 0.98,
// max: 1.1
}],
dataZoom: [{
// startValue: xAxisData[0],
// start: 0,
// end: 100,
filterMode: 'empty',
textStyle: {
color: '#fff'
}
}, {
type: 'inside'
}],
series: yData
};
return option;
}
appendData
for (let index = 0; index < chartData.length; index++) {
chartInstanceRef.current.appendData({
seriesIndex: index,
data: chartData[index].points
})
chartInstanceRef.current.resize();
}



求解决方案,不然整个页面太卡了,什么都操作不了!感谢官方的各位大佬,打扰了!
@pissangchartInstanceRef.current.resize(); 这个有没有影响?但是如果不加这个appendData后图形没有变化。
@Ovilia 小姐姐可以帮忙看下这个问题吗?
This issue has been automatically marked as stale because it did not have recent activity. It will be closed in 7 days if no further activity occurs. If you wish not to mark it as stale, please leave a comment in this issue.
This issue has been automatically closed because it did not have recent activity. If this remains to be a problem with the latest version of Apache ECharts, please open a new issue and link this to it. Thanks!