feat(search): add more params for search and improve search index (#279)
This commit is contained in:
@@ -114,10 +114,14 @@ enableEmoji = true
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enable = true
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# type of search engine ("lunr", "algolia")
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type = "algolia"
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# index length of the content
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# max index length of the chunked content
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contentLength = 5000
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# placeholder of the search bar
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placeholder = ""
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# max number of results length
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maxResultLength = 10
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# HTML tag name of the highlight part in results
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highlightTag = "em"
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[languages.en.params.search.algolia]
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index = "index.en"
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appID = "PASDMWALPK"
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@@ -303,10 +307,14 @@ enableEmoji = true
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enable = true
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# 搜索引擎的类型 ("lunr", "algolia")
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type = "algolia"
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# 文章内容索引长度
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# 文章内容最长索引长度
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contentLength = 5000
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# 搜索框的占位提示语
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placeholder = ""
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# 最大结果数目
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maxResultLength = 10
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# 搜索结果中高亮部分的 HTML 标签
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highlightTag = "em"
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[languages.zh-cn.params.search.algolia]
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index = "index.zh-cn"
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appID = "PASDMWALPK"
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@@ -488,10 +496,14 @@ enableEmoji = true
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enable = true
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# type of search engine ("lunr", "algolia")
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type = "algolia"
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# index length of the content
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# max index length of the chunked content
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contentLength = 5000
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# placeholder of the search bar
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placeholder = ""
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# max number of results length
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maxResultLength = 10
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# HTML tag name of the highlight part in results
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highlightTag = "em"
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[languages.fr.params.search.algolia]
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index = "index.fr"
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appID = "PASDMWALPK"
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@@ -221,10 +221,14 @@ Please open the code block below to view the complete sample configuration :(far
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enable = true
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# type of search engine ("lunr", "algolia")
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type = "lunr"
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# index length of the content
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# max index length of the chunked content
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contentLength = 5000
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# placeholder of the search bar
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placeholder = ""
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# {{< version 0.2.1 >}} max number of results length
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maxResultLength = 10
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# {{< version 0.2.1 >}} HTML tag name of the highlight part in results
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highlightTag = "em"
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[params.search.algolia]
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index = ""
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appID = ""
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@@ -955,25 +959,35 @@ Here is the search configuration in your [site configuration](#site-configuratio
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enable = true
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# type of search engine ("lunr", "algolia")
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type = "lunr"
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# index length of the content
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# max index length of the chunked content
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contentLength = 5000
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# placeholder of the search bar
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placeholder = ""
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# {{< version 0.2.1 >}} max number of results length
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maxResultLength = 10
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# {{< version 0.2.1 >}} HTML tag name of the highlight part in results
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highlightTag = "em"
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[params.search.algolia]
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index = ""
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appID = ""
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searchKey = ""
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```
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{{< admonition note "How to choose the type of search engine?" >}}
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{{< admonition note "How to choose search engine?" >}}
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The following is a comparison of two search engines:
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* `lunr`: simple, no need to synchronize `index.json`, no limit for `contentLength`,
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but high bandwidth and low performance (Especially for Chinese which needs a large segmentit library)
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* `algolia`: high performance and low bandwidth, but need to synchronize `index.json` and limit for `contentLength`
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{{< version 0.2.1 >}} The content of the post is separated by `h2` HTML tag to improve query performance and basically implement full-text search.
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`contentLength` is used to limit the max index length of the part starting with `h2` HTML tag.
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{{< /admonition >}}
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{{< admonition tip "Tips about algolia" >}}
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You need to upload `index.json` files to algolia to activate searching.
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You could upload the `index.json` files by browsers but a script may be a better choice.
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You could upload the `index.json` files by browsers but a CLI tool may be better.
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[Algolia Atomic](https://github.com/chrisdmacrae/atomic-algolia) is a good choice.
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To be compatible with Hugo multilingual mode,
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you need to upload different `index.json` for each language to the different index of algolia, such as `zh-cn/index.json` or `fr/index.json`...
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{{< /admonition >}}
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@@ -226,10 +226,14 @@ Please open the code block below to view the complete sample configuration :(far
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enable = true
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# type of search engine ("lunr", "algolia")
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type = "lunr"
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# index length of the content
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# max index length of the chunked content
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contentLength = 5000
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# placeholder of the search bar
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placeholder = ""
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# {{< version 0.2.1 >}} max number of results length
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maxResultLength = 10
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# {{< version 0.2.1 >}} HTML tag name of the highlight part in results
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highlightTag = "em"
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[params.search.algolia]
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index = ""
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appID = ""
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@@ -960,25 +964,35 @@ Here is the search configuration in your [site configuration](#site-configuratio
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enable = true
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# type of search engine ("lunr", "algolia")
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type = "lunr"
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# index length of the content
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# max index length of the chunked content
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contentLength = 5000
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# placeholder of the search bar
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placeholder = ""
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# {{< version 0.2.1 >}} max number of results length
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maxResultLength = 10
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# {{< version 0.2.1 >}} HTML tag name of the highlight part in results
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highlightTag = "em"
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[params.search.algolia]
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index = ""
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appID = ""
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searchKey = ""
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```
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{{< admonition note "How to choose the type of search engine?" >}}
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{{< admonition note "How to choose search engine?" >}}
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The following is a comparison of two search engines:
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* `lunr`: simple, no need to synchronize `index.json`, no limit for `contentLength`,
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but high bandwidth and low performance (Especially for Chinese which needs a large segmentit library)
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* `algolia`: high performance and low bandwidth, but need to synchronize `index.json` and limit for `contentLength`
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{{< version 0.2.1 >}} The content of the post is separated by `h2` HTML tag to improve query performance and basically implement full-text search.
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`contentLength` is used to limit the max index length of the part starting with `h2` HTML tag.
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{{< /admonition >}}
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{{< admonition tip "Tips about algolia" >}}
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You need to upload `index.json` files to algolia to activate searching.
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You could upload the `index.json` files by browsers but a script may be a better choice.
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You could upload the `index.json` files by browsers but a CLI tool may be better.
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[Algolia Atomic](https://github.com/chrisdmacrae/atomic-algolia) is a good choice.
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To be compatible with Hugo multilingual mode,
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you need to upload different `index.json` for each language to the different index of algolia, such as `zh-cn/index.json` or `fr/index.json`...
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{{< /admonition >}}
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@@ -224,10 +224,14 @@ hugo
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enable = true
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# 搜索引擎的类型 ("lunr", "algolia")
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type = "lunr"
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# 文章内容索引长度
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# 文章内容最长索引长度
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contentLength = 5000
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# 搜索框的占位提示语
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placeholder = ""
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# 最大结果数目
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maxResultLength = 10
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# 搜索结果中高亮部分的 HTML 标签
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highlightTag = "em"
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[params.search.algolia]
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index = ""
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appID = ""
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@@ -938,7 +942,7 @@ defaultContentLanguage = "zh-cn"
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{{< version 0.2.0 >}}
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基于 [Lunr.js](https://lunrjs.com/) 或 [algolia](https://www.algolia.com/), **LoveIt** 主支持搜索功能.
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基于 [Lunr.js](https://lunrjs.com/) 或 [algolia](https://www.algolia.com/), **LoveIt** 主题支持搜索功能.
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### 5.1 输出配置
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@@ -958,24 +962,34 @@ defaultContentLanguage = "zh-cn"
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```toml
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[params.search]
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enable = true
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# type of search engine ("lunr", "algolia")
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# 搜索引擎的类型 ("lunr", "algolia")
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type = "lunr"
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# index length of the content
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# 文章内容最长索引长度
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contentLength = 5000
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# 搜索框的占位提示语
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placeholder = ""
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# 最大结果数目
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maxResultLength = 10
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# 搜索结果中高亮部分的 HTML 标签
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highlightTag = "em"
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[params.search.algolia]
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index = ""
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appID = ""
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searchKey = ""
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```
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{{< admonition note "怎样选择搜索引擎的类型?" >}}
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{{< admonition note "怎样选择搜索引擎?" >}}
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以下是两种搜索引擎的对比:
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* `lunr`: 简单, 无需同步 `index.json`, 没有 `contentLength` 的限制, 但占用带宽大且性能低 (特别是中文需要一个较大的分词依赖库)
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* `algolia`: 高性能并且占用带宽低, 但需要同步 `index.json` 且有 `contentLength` 的限制
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{{< version 0.2.1 >}} 文章内容被 `h2` HTML 标签切分来提供查询效果并且基本实现全文搜索.
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`contentLength` 用来限制 `h2` HTML 标签开头的内容部分的最大长度.
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{{< /admonition >}}
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{{< admonition tip "关于 algolia 的使用技巧" >}}
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你需要上传 `index.json` 到 algolia 来激活搜索功能. 你可以使用浏览器来上传 `index.json` 文件但是一个自动化的脚本可能是更好的选择.
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你需要上传 `index.json` 到 algolia 来激活搜索功能. 你可以使用浏览器来上传 `index.json` 文件但是一个自动化的脚本可能效果更好.
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[Algolia Atomic](https://github.com/chrisdmacrae/atomic-algolia) 是一个不错的选择.
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为了兼容 Hugo 的多语言模式, 你需要上传不同语言的 `index.json` 文件到对应的 algolia index, 例如 `zh-cn/index.json` 或 `fr/index.json`...
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{{< /admonition >}}
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