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Real-time data update strategy

Author:Chuan Chen 阅读数:48353人阅读 分类: ECharts

Real-time Data Update Strategies

ECharts, as a powerful data visualization library, offers multiple flexible update mechanisms for handling dynamic data. Whether it's scheduled refreshes, event-driven updates, or streaming data integration, choosing the right update strategy can significantly enhance chart performance and user experience.

Incremental Data Updates

For high-frequency update scenarios, full refreshes can create performance bottlenecks. ECharts' appendData method supports incremental data appending:

// Initialize the chart
const chart = echarts.init(document.getElementById('chart'));
chart.setOption({
  dataset: {
    source: [
      ['Time', 'Value'],
      ['10:00', 20],
      ['10:01', 35]
    ]
  },
  xAxis: { type: 'category' },
  yAxis: {},
  series: [{ type: 'line' }]
});

// Append new data every 2 seconds
setInterval(() => {
  const now = new Date();
  const timeStr = `${now.getHours()}:${now.getMinutes()}`;
  const newValue = Math.round(Math.random() * 50);
  
  chart.appendData({
    seriesIndex: 0,
    data: [timeStr, newValue]
  });
}, 2000);

Notes:

  1. Manually clean up old data when the volume exceeds a threshold
  2. Suitable for continuous charts like line/bar charts
  3. Requires coordination with the dataZoom component for viewport following

Full Data Replacement

When data structure may change, use full replacement:

function fetchData() {
  return fetch('/api/data').then(res => res.json());
}

async function updateChart() {
  const newData = await fetchData();
  chart.setOption({
    dataset: {
      source: newData
    }
  });
}

// Use debounce to avoid frequent requests
const debouncedUpdate = _.debounce(updateChart, 300);
window.addEventListener('resize', debouncedUpdate);

Performance optimization tips:

  • Use notMerge: true to completely clear old configurations
  • Enable large: true for large datasets
  • Control transition animation time with animationDurationUpdate

WebSocket Real-time Push

For high real-time requirements like financial market data, use WebSocket:

const socket = new WebSocket('wss://market-data.example.com');

socket.onmessage = (event) => {
  const payload = JSON.parse(event.data);
  
  chart.setOption({
    series: [{
      data: payload.map(item => ({
        name: item.symbol,
        value: [item.price, item.volume]
      }))
    }]
  });
};

// Heartbeat to maintain connection
setInterval(() => {
  if (socket.readyState === WebSocket.OPEN) {
    socket.send('ping');
  }
}, 30000);

Exception handling points:

  1. Implement automatic reconnection
  2. Use message queues for network fluctuations
  3. Add data validation logic

Performance Optimization Strategies

Optimization solutions for large datasets:

// Use sampling to reduce data density
function downsample(data, factor) {
  return data.filter((_, index) => index % factor === 0);
}

// Enable progressive rendering
chart.setOption({
  series: [{
    progressive: 1000,
    progressiveThreshold: 3000
  }]
});

// Use Web Worker for compute-intensive tasks
const worker = new Worker('data-processor.js');
worker.postMessage(rawData);
worker.onmessage = (e) => {
  chart.setOption({ dataset: { source: e.data } });
};

Dynamic Interaction Updates

Example of interactive updates responding to user actions:

// Map drill-down example
chart.on('click', (params) => {
  if (params.componentType === 'series' && params.seriesType === 'map') {
    loadRegionData(params.name).then(data => {
      chart.setOption({
        geo: {
          map: params.name + '-detail'
        },
        series: [{
          data: data.points
        }]
      });
    });
  }
});

// Brush selection linkage
chart.on('brushSelected', (params) => {
  const selectedData = params.batch[0].selected[0].dataIndex;
  detailChart.setOption({
    dataset: {
      source: selectedData.map(idx => rawData[idx])
    }
  });
});

Server-Side Rendering Solution

Server-side rendering implementation in Node.js:

const echarts = require('echarts');

function renderChartToSVG(options) {
  const instance = echarts.init(null, null, {
    renderer: 'svg',
    ssr: true,
    width: 800,
    height: 600
  });
  
  instance.setOption(options);
  const svgStr = instance.renderToSVGString();
  instance.dispose();
  
  return svgStr;
}

// Express route example
app.get('/chart', (req, res) => {
  const svg = renderChartToSVG({
    title: { text: 'Server-Rendered Chart' },
    series: [{ data: [120, 200, 150, 80, 70] }]
  });
  res.type('image/svg+xml').send(svg);
});

Cross-Framework Integration

Best practices in different frontend frameworks:

React Example

import { useRef, useEffect } from 'react';

function EChartWrapper({ options }) {
  const chartRef = useRef(null);
  
  useEffect(() => {
    const chart = echarts.init(chartRef.current);
    chart.setOption(options);
    
    return () => chart.dispose();
  }, [options]);

  return <div ref={chartRef} style={{ width: '100%', height: 400 }} />;
}

Vue Example

<template>
  <div ref="chartEl" :style="{ width, height }"></div>
</template>

<script>
export default {
  props: ['options', 'width', 'height'],
  mounted() {
    this.chart = echarts.init(this.$refs.chartEl);
    this.updateChart();
  },
  methods: {
    updateChart() {
      this.chart.setOption(this.options);
    }
  },
  watch: {
    options: {
      deep: true,
      handler() {
        this.updateChart();
      }
    }
  }
}
</script>

Special Scenario Handling

Multi-Chart Synchronized Updates

const charts = [chart1, chart2, chart3];

function syncUpdate(options) {
  charts.forEach(chart => {
    chart.setOption(options, { lazyUpdate: true });
  });
  echarts.getInstanceByDom(charts[0].getDom()).dispatchAction({
    type: 'highlight',
    seriesIndex: 0
  });
}

Chunked Loading for Large Datasets

function loadChunkedData(url, chunkSize) {
  let offset = 0;
  
  function loadNextChunk() {
    fetch(`${url}?offset=${offset}&limit=${chunkSize}`)
      .then(res => res.json())
      .then(data => {
        if (data.length > 0) {
          chart.appendData({ seriesIndex: 0, data });
          offset += data.length;
          requestAnimationFrame(loadNextChunk);
        }
      });
  }
  
  loadNextChunk();
}

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Front End Chuan

Front End Chuan, Chen Chuan's Code Teahouse 🍵, specializing in exorcising all kinds of stubborn bugs 💻. Daily serving baldness-warning-level development insights 🛠️, with a bonus of one-liners that'll make you laugh for ten years 🐟. Occasionally drops pixel-perfect romance brewed in a coffee cup ☕.