Table of Contents
The impact of excessive tables
Methods to solve excessively large javascript tables
1. Display table data in pages
2. Load only the first few rows of data
3. Lazy loading of data
4. Back-end paging
5. Disable page interaction when loading data
Conclusion
Home Web Front-end Front-end Q&A javascript table too big

javascript table too big

May 12, 2023 pm 02:47 PM

Javascript is a language widely used in front-end development fields such as web page interaction and dynamic special effects. In the process of front-end development, it is often necessary to use tables to display data. However, when the table data is too large, the web page loading speed will slow down and the user experience will be adversely affected. This article will introduce some methods to solve the problem of oversized javascript tables, hoping to help readers.

The impact of excessive tables

The use of tables is very common in web design. On the one hand, tables can clearly display data; on the other hand, they can also control the display of data. Normally, tables only contain a small amount of data, but when there is a lot of data in the table, it will cause the webpage to load slowly and the user experience will also become bad. Such a table makes users feel like they are looking at a full-page picture, and they need to keep dragging the scroll bar to read all the content, which greatly damages the user experience. Therefore, it is necessary to resolve this situation.

Methods to solve excessively large javascript tables

1. Display table data in pages

Display table data in pages, that is, the table data is divided into pages according to a fixed number of items per page. Users Just look at the number of pages you need to browse them all. This method can significantly reduce the load of one-time loading data on the web page, thus improving the page loading speed while ensuring user experience. You can use a library like [Datatables](https://datatables.net/) to use pagination functionality.

2. Load only the first few rows of data

When using a javascript table to display data, we can specify to load only the first few rows of data in the table and provide buttons below to load more data. This avoids the pressure caused by loading all data at once, and does not affect users' query data. This method greatly reduces page loading time and relieves pressure on the client.

3. Lazy loading of data

Lazy loading of data means dividing the table data into multiple parts and loading the data dynamically only when the user needs to view this part of the data. This greatly reduces the pressure on the server from loading all data at once, and also ensures that the basic functions of the page are not affected. For example, some tables may only need to load certain data when the user selects specific options. In this case, you can use lazy loading of data to optimize table performance.

4. Back-end paging

For some tables with particularly large amounts of data, we can handle the paging work on the back-end. This ensures that in any case, website users only see the data they need. This approach can effectively reduce the consumption of front-end runtime and memory, allowing the application to respond to customer requests faster.

5. Disable page interaction when loading data

When table data needs to be loaded in large quantities, we can use the method of preventing page interaction. In this way, users need to wait for the data to be loaded before they can perform any operations on the page. This method prevents the front-end underlying page from rendering when the amount of data is too large, greatly improving the complete page rendering time.

Conclusion

In front-end development, you need to consider the impact of excessively large tables on page performance and user experience. To avoid this from happening, we can use one or more of the above methods to solve it. In general, paging display, lazy loading of data, loading only the first few rows of data, back-end paging, and disabling page interaction while data is loading are all methods that help optimize the performance of JavaScript tables, improve user experience, and provide better solutions for web applications. The program brings a smoother user experience.

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