Manage website content in Auto CMS,splitThe filter is undoubtedly a very practical tool, which can help us easily split strings into arrays according to specified delimiters and then flexibly display the data. However, when dealing with a large amount of data, or the page has specific requirements.splitWhen the filter is called very frequently, we may start to pay attention to its performance.In fact, smooth user experience and efficient server response speed are the goals pursued by any website operator.

Then, what are the recommended practices to optimize performance when processing large amounts of data usingsplitWhat are some recommended practices to optimize performance when using the filter?

UnderstandingsplitThe working principle of the filter

First, let's briefly reviewsplitThe function of the filter. It takes a string and a delimiter, and then splits the string into an array of strings. For example,"item1,item2,item3"|split:","就会返回一个包含 “item1”, “item2”, “item3” 三个元素的数组。安全CMS的模板引擎是基于Go语言实现的，这意味着splitThe filter is executed on the server side, not in the user's browser. Each callsplitis performed once on the server as a string processing operation.

Under small data volume and low concurrency scenarios,splitefficiency is usually not an issue. But if a page needs to handle a very long string, or a page has a large number of repeatedsplitOperation, even in loops, for each elementsplitThese operations may accumulate and affect server performance, leading to slower page loading.

OptimizationsplitPractical**filter performance

1. Data preprocessing and backend optimization

This is the most fundamental and effective method.It is better to perform string splitting in the backend (Go language part) before the data is read and ready to be passed to the template, rather than letting the template engine do it on every page request.

Practice suggestions:

  • Pre-position the slicing logic:If your content field (such as article keywords, tags, etc.) is stored in the database as a comma-separated string and needs to be displayed as a list on the frontend, then in the Go language processing layer (Controller or Service layer), these strings should be split into Go'sslice(equivalent to array), then pass it directly to the template.slicePass the object to the template.
  • Example:Assuming there is a field in the database.Tagsstored as."SEO,营销,内容管理"In the Go backend, you can handle it like this:
    
// 假设 archive.Tags 是从数据库读取的字符串
tagsStr := archive.Tags
tagsSlice := strings.Split(tagsStr, ",") // 在Go后端完成切割
// 将 tagsSlice 传递给模板
data["ArchiveTags"] = tagsSlice
    In the template, you can directly iterate overArchiveTagsthis array without calling againsplitFilter:
    
{% for tag in ArchiveTags %}
    <span>{{ tag }}</span>
{% endfor %}
    Thus, the computational cost of string splitting is moved to the data preparation stage, and the template rendering directly consumes the already processed array, greatly improving efficiency.

2. Avoid redundancy.splitOperation, make good use of variable assignment

Inside the template, if a string needs to be split into an array and used multiple times, please avoid repeated callssplit. The template engine of Anqi CMS supportssetLabels can be used to define variables, we can take advantage of it tosplitstore the results after that, for subsequent repeated use.

Practice suggestions:

  • UsesetLabel caching results:In the template, ifsplitThe result needs to be referenced multiple times, and only one cut is made and the result is assigned to a variable.

    {# 假设 item.Keywords 是一个逗号分隔的字符串 #}
{% set keywordsArray = item.Keywords|split:"," %}


<div>
    {% for keyword in keywordsArray %}
        <span class="keyword-tag">{{ keyword }}</span>
    {% endfor %}
</div>


<p>文章的第一个关键词是：{{ keywordsArray|first }}</p>
<p>文章的关键词总数是：{{ keywordsArray|length }}</p>

    Pass{% set keywordsArray = ... %},item.KeywordsOnly one cut was made, and all subsequent operations on the keyword array directly used it.keywordsArrayAvoided unnecessary redundant calculations.

3. Utilizing the cache mechanism of the Security CMS.

An enterprise-level content management system, AnQi CMS is equipped with powerful caching mechanisms, including static caching. If most of the content of a page (includingsplitThe part of operation is relatively stable and does not change frequently, so using page cache or local cache can completely avoid the performance problem of repeated calculation.

Practice suggestions:

  • Enable page static cache:If the entire page content is stable, you can configure page staticization or caching strategies in the Anqi CMS background. Once the page is generated as static HTML, subsequent visits will directly return the static file, without involving the calculation of the template engine, includingsplitFilter.
  • Consider fragment caching (if supported):For pages with less dynamic but complexsplitThe logical module, if the Anqi CMS template engine supports fragment caching (for example, some template engines of the{% cache %}Label), consider caching these modules. This way, even if the main page changes dynamically, the cached fragments do not need to be re-rendered.

4. Carefully evaluate the amount of data, simplify the input

Sometimes, the problem is not withsplitthe filter itself, but the input tosplitThe string is too long, or it contains too many elements, which leads to the generation of an overly large array after slicing, thereby affecting subsequent traversal and rendering.

Practice suggestions:

  • Limit the length of the content field:Editing content model in the background,splitThe field being operated on, consider whether it needs to limit its maximum length or the number of elements. For example, does the number of tags for an article really need to exceed 50?
  • Only pass necessary data:Ensure that only the data required by the template is passed in the backend code. Avoid passing a very long string if only a part of it is needed by the template.

Summary

Use in AnQi CMSsplitFiltering performance optimization of handling large amounts of data is the core of Break down the whole into parts, pre-process, reduce repetition, and make good use of cacheEnglishsetLabel to avoid duplicate cutting; and take full advantage of the powerful caching capability of the Safe CMS.These practices can effectively reduce the computational burden on the server, ensuring stability and efficiency of the website under high traffic and large data volume.

Common Questions (FAQ)

Q1:splitfilters andmake_listWhat are the differences between filters?

A1: splitThe filter splits the string based on the "delimiter" you provide, for example{{ "apple,banana"|split:"," }}You will get["apple", "banana"].make_listThe filter is to split each UTF-8 character in a string into a separate element, forming an array. For example{{ "你好"|make_list }}You will get["你", "好"]. When processing strings with specific delimiters,splitis the preferred option; if you need to process characters one by one,make_listit is more convenient.

Q2: I feel the website has slowed down, it must besplita problem with the filter?

A2:not necessarily. AlthoughsplitThe filter may become a performance bottleneck when processing a large amount of data, but there are many reasons why a website may slow down, such as inefficient database queries, network latency, slow loading of static resources such as images, other complex template logic, insufficient server resources, and so on.Before optimization, it is recommended to conduct performance analysis to determine the actual bottleneck.For example, you can use the browser's developer tools (F12) to view the network request time, or monitor CPU and memory usage on the server side.

Q3: If my data volume is indeed very large and must be displayed in the template, are there any other options besides the aforementioned ones?

A3:If all backend optimizations and caching strategies have been exhausted and the data volume is still large enough to affect server performance, you may need to reconsider the way content is displayed or the architecture design.For example, consider transferring part of the data processing and display logic to the front-end (JavaScript), dynamically loading and slicing data through AJAX requests, which can reduce the pressure on server-side rendering.This method requires a balance of SEO impact, because search engines may not be able to crawl content loaded dynamically through JavaScript well.