Handling Large Datasets in TanStack React Charts

Focuses on efficiently managing and rendering large datasets in TanStack React Charts by using memoization and lazy loading techniques.

import React, { useMemo } from 'react';
import { Chart } from 'react-charts';

function MyChart({ data }) {
  // Using useMemo to avoid recalculating data unnecessarily
  const memoizedData = useMemo(() => data, [data]);

  const series = React.useMemo(
    () => ({
      showPoints: false
    }),
    []
  );

  const axes = React.useMemo(
    () => [
      { primary: true, type: 'linear', position: 'bottom' },
      { type: 'linear', position: 'left' }
    ],
    []
  );

  // Configuration for the chart
  const chartConfig = React.useMemo(
    () => ({
      data: memoizedData,
      axes,
      series
    }),
    [memoizedData, axes, series]
  );

  return <Chart {...chartConfig} />;
}

This piece of code demonstrates how to use the useMemo hook to avoid recalculating the data for the chart unless it changes. It ensures efficient rendering of large datasets by memoizing both the data and configuration for the chart in React. The 'showPoints' configuration is set to false to improve performance when rendering large datasets.

import { useState, useEffect } from 'react';

function useLazyLoadData(initialData) {
  const [data, setData] = useState(initialData);
  // Simulating a lazy load function
  useEffect(() => {
    const fetchData = async () => {
      // Placeholder for data fetching logic
      const moreData = await new Promise(resolve => setTimeout(() => resolve([...initialData, /* New Data Here */]), 1000));
      setData(moreData);
    };

    fetchData();
  }, [initialData]);

  return data;
}

This piece of code shows how to create a custom hook for lazy loading data. It uses useState to hold the dataset and useEffect to simulate fetching additional data asynchronously, thereby mimicking a real-world scenario where data could be fetched in chunks to improve performance for large datasets.