<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Kibana on Ricky</title><link>https://linzeyan.github.io/zh-tw/categories/kibana/</link><description>Recent content in Kibana on Ricky</description><generator>Hugo -- gohugo.io</generator><language>zh-tw</language><lastBuildDate>Thu, 06 Oct 2022 11:30:59 +0800</lastBuildDate><atom:link href="https://linzeyan.github.io/zh-tw/categories/kibana/index.xml" rel="self" type="application/rss+xml"/><item><title>ElasticSearch 学习笔记</title><link>https://linzeyan.github.io/zh-tw/posts/2022/20221006-elasticsearch/</link><pubDate>Thu, 06 Oct 2022 11:30:59 +0800</pubDate><guid>https://linzeyan.github.io/zh-tw/posts/2022/20221006-elasticsearch/</guid><description>&lt;ul>
&lt;li>&lt;a href="https://jiajunhuang.com/articles/2022_10_06-elasticsearch.md.html" target="_blank" rel="noopener">ElasticSearch 学习笔记&lt;/a>&lt;/li>
&lt;/ul>
&lt;h3 id="安装中文分词插件">安装中文分词插件&lt;/h3>
&lt;div class="highlight">&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;">&lt;code class="language-bash" data-lang="bash">&lt;span style="display:flex;">&lt;span>docker exec -it elasticsearch bash
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>$ elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v8.4.1/elasticsearch-analysis-ik-8.4.1.zip
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div>&lt;ul>
&lt;li>Dev Tools
&lt;ul>
&lt;li>&lt;code>content&lt;/code> 类型为 &lt;code>text&lt;/code>，写入时使用 &lt;code>ik_max_word&lt;/code> 做分词，搜索时使用 &lt;code>ik_smart&lt;/code> 分词。这两个的区别在于，前者产生尽可能多的分词，后者产生粗粒度的分词。&lt;/li>
&lt;/ul>
&lt;/li>
&lt;/ul>
&lt;div class="highlight">&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;">&lt;code class="language-json" data-lang="json">&lt;span style="display:flex;">&lt;span>&lt;span style="color:#960050;background-color:#1e0010">PUT&lt;/span> &lt;span style="color:#960050;background-color:#1e0010">/words&lt;/span>
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>{
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;mappings&amp;#34;&lt;/span>: {
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;properties&amp;#34;&lt;/span>: {
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;content&amp;#34;&lt;/span>: {
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;type&amp;#34;&lt;/span>: &lt;span style="color:#e6db74">&amp;#34;text&amp;#34;&lt;/span>,
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;analyzer&amp;#34;&lt;/span>: &lt;span style="color:#e6db74">&amp;#34;ik_max_word&amp;#34;&lt;/span>,
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;search_analyzer&amp;#34;&lt;/span>: &lt;span style="color:#e6db74">&amp;#34;ik_smart&amp;#34;&lt;/span>
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> },
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;age&amp;#34;&lt;/span>: {
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;type&amp;#34;&lt;/span>: &lt;span style="color:#e6db74">&amp;#34;integer&amp;#34;&lt;/span>,
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;index&amp;#34;&lt;/span>: &lt;span style="color:#66d9ef">false&lt;/span>
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> }
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> }
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> }
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>}
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div>&lt;div class="highlight">&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;">&lt;code class="language-json" data-lang="json">&lt;span style="display:flex;">&lt;span>{
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;acknowledged&amp;#34;&lt;/span>: &lt;span style="color:#66d9ef">true&lt;/span>,
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;shards_acknowledged&amp;#34;&lt;/span>: &lt;span style="color:#66d9ef">true&lt;/span>,
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span> &lt;span style="color:#f92672">&amp;#34;index&amp;#34;&lt;/span>: &lt;span style="color:#e6db74">&amp;#34;words&amp;#34;&lt;/span>
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>}
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div></description></item></channel></rss>