![]() Resizing the chart must be done manually.Ensure that you have a fallback if you support browsers other than the most modern Chromium browsers.You can't access the DOM from worker threads, so Chart.js plugins that use the DOM (including any mouse interactions) will likely not work. ![]() You can't transfer functions between threads, so if your config object includes functions you'll have to strip them out before transferring and then add them back later. ![]() Try generating them on the worker side if you can (workers can make HTTP requests!) or passing them to your worker as ArrayBuffers, which can be transferred quickly from one thread to another. Transferring data between threads can be expensive, so ensure that your config and data objects are as small as possible.Some tips and tricks when using Chart.js in a web worker: Note that as of today, this API is only supported in Chromium based browsers.īy moving all Chart.js calculations onto a separate thread, the main thread can be freed up for other uses. Chart.js is a canvas-based library and supports rendering in a web worker - just pass an OffscreenCanvas into the Chart constructor instead of a Canvas element. Web workers can use the OffscreenCanvas API (opens new window) to render from a web worker onto canvases in the DOM. New Chart (ctx, ) # Parallel rendering with web workers (Chromium only)Ĭhromium (Chrome: version 69, Edge: 79, Opera: 56) added the ability to transfer rendering control of a canvas (opens new window) to a web worker. Line charts use Path2D caching when animations are disabled and Path2D is available. This will have the effect of reducing CPU usage and improving general page performance. Doing so will mean that the chart needs to only be rendered once during an update instead of multiple times. If your charts have long render times, it is a good idea to disable animations. This works best if there is not a large variance in the size of your labels. This will determine how large your labels are by looking at only a subset of them in order to render axes more quickly. Specify a rotation value by setting minRotation and maxRotation to the same value, which avoids the chart from having to automatically determine a value to use. You should still consider decimating data yourself before passing it in for maximum performance since the automatic decimation occurs late in the chart life cycle. ![]() Line charts are able to do automatic data decimation during draw, when certain conditions are met. This will provide the best performance since it will reduce the memory needed to render the chart. The decimation plugin can be used with line charts to decimate data before the chart is rendered. When there is a lot of data to display on the graph, it doesn't make sense to show tens of thousands of data points on a graph that is only a few hundred pixels wide. # Decimationĭecimating your data will achieve the best results. Even without this option, it can sometimes still be faster to provide sorted data. # Data normalizationĬhart.js is fastest if you provide data with indices that are unique, sorted, and consistent across datasets and provide the normalized: true option to let Chart.js know that you have done so. See Data structures for more information. Provide prepared data in the internal format accepted by the dataset and scales, and set parsing: false. For large datasets or performance sensitive applications, you may wish to consider the tips below. Chart.js charts are rendered on canvas elements, which makes rendering quite fast.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |