lunrjs - A bit like Solr, but much smaller and not as bright.

Posted 2020-11-25 LightSong@计海拾贝

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lunrjs

https://github.com/olivernn/lunr.js

Lunr.js is a small, full-text search library for use in the browser. It indexes JSON documents and provides a simple search interface for retrieving documents that best match text queries.

小的全文搜索引擎，用于浏览器端的设计（虽然如此，但是其仍然支持nodejs平台运行 https://lunrjs.com/）。

索引对象时JSON文档，提供简单的搜索接口，获取最匹配的文本搜索。

此功能类似mongo和elastic的服务器端全文搜索功能。

WHY

For web applications with all their data already sitting in the client, it makes sense to be able to search that data on the client too. It saves adding extra, compacted services on the server. A local search index will be quicker, there is no network overhead, and will remain available and useable even without a network connection.

优势：

1）客户端拿到数据后，理应由客户单进行搜索。

2）减轻服务器端压力。

3）减轻网络压力。

4）断网情况下仍然可以使用。有利于web应用类型（PWA 小程序）。

功能

Full text search support for 14 languages

Boost terms at query time or boost entire documents at index time

Scope searches to specific fields

Fuzzy term matching with wildcards or edit distance

1）支持14中语言，遗憾的是不支持中文。 https://lunrjs.com/guides/language_support.html

但是有大佬实现了中文支持： https://github.com/olivernn/lunr.js/issues/91

2）支持多项查询项，支持整个文档索引。

3）限定搜索字段。

4）模糊匹配。

EXAMPLE

https://lunrjs.com/docs/index.html

A very simple search index can be created using the following:

var idx = lunr(function () {
  this.field(‘title‘)
  this.field(‘body‘)

  this.add({
    "title": "Twelfth-Night",
    "body": "If music be the food of love, play on: Give me excess of it…",
    "author": "William Shakespeare",
    "id": "1"
  })
})

Then searching is as simple:

idx.search("love")

This returns a list of matching documents with a score of how closely they match the search query as well as any associated metadata about the match:

[
  {
    "ref": "1",
    "score": 0.3535533905932737,
    "matchData": {
      "metadata": {
        "love": {
          "body": {}
        }
      }
    }
  }
]