我正在使用索尔使用EdgeNGrams进行自动完成搜索。如果用户正在搜索员工姓名,则应应用自动完成。也就是说,我希望结果像谷歌搜索一样。对一些搜索来说很好。
文件schema.xml
<fieldType name="edgytext" class="solr.TextField" positionIncrementGap="100" omitNorms="true">
<analyzer type="index">
<tokenizer class="solr.KeywordTokenizerFactory" />
<filter class="solr.LowerCaseFilterFactory" />
<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
</analyzer>
<analyzer type="query">
<tokenizer class="solr.KeywordTokenizerFactory" />
<filter class="solr.LowerCaseFilterFactory" />
<filter class="solr.EdgeNGramFilterFactory" minGramSize="1" maxGramSize="15" side="front" />
</analyzer>
<field name="title" type="edgytext" indexed="true" stored="true" omitNorms="true" omitTermFreqAndPositions="true"/>
<field name="empname" type="edgytext" indexed="true" stored="true" omitNorms="true" omitTermFreqAndPositions="true" />
<field name="autocomplete_text" type="edgytext" indexed="true" stored="false" multiValued="true" omitNorms="true" omitTermFreqAndPositions="false" />
<copyField source="empname" dest="autocomplete_text"/>
<copyField source="title" dest="autocomplete_text"/> http://local:8080/test/suggest/?q=michael结果:
<?xml version="1.0" encoding="UTF-8" ?>
<response>
<lst name="responseHeader">
<int name="status">0</int>
<int name="QTime">1</int>
</lst>
<result name="response" numFound="0" start="0" />
<lst name="spellcheck">
<lst name="suggestions">
<lst name="michael">
<int name="numFound">9</int>
<int name="startOffset">0</int>
<int name="endOffset">7</int>
<arr name="suggestion">
<str>michael bolton</str>
<str>michael foret</str>
<str>michael houser</str>
<str>michael o'brien</str>
<str>michael penn</str>
<str>michael row your boat ashore</str>
<str>michael tilson thomas</str>
<str>michael w. smith</str>
<str>michael w. smith featuring andrae crouch</str>
</arr>
</lst>
<str name="collation">michael bolton</str>
</lst>
</lst>
</response>对我来说很好。当我使用michael f搜索时
http:// local:8080/test/suggest/?q=michael f我得到的回应是:
<?xml version="1.0" encoding="UTF-8" ?>
<response>
<lst name="responseHeader">
<int name="status">0</int>
<int name="QTime">1</int>
</lst>
<result name="response" numFound="0" start="0" />
<lst name="spellcheck">
<lst name="suggestions">
<lst name="michael">
<int name="numFound">9</int>
<int name="startOffset">0</int>
<int name="endOffset">7</int>
<arr name="suggestion">
<str>michael bolton</str>
<str>michael foret</str>
<str>michael houser</str>
<str>michael o'brien</str>
<str>michael penn</str>
<str>michael row your boat ashore</str>
<str>michael tilson thomas</str>
<str>michael w. smith</str>
<str>michael w. smith featuring andrae crouch</str>
</arr>
</lst>
<lst name="f">
<int name="numFound">10</int>
<int name="startOffset">8</int>
<int name="endOffset">9</int>
<arr name="suggestion">
<str>f**k the facts</str>
<str>fairest lord jesus</str>
<str>fatboy slim</str>
<str>ffh</str>
<str>fiona apple</str>
<str>foo fighters</str>
<str>frank sinatra</str>
<str>frans bauer</str>
<str>franz ferdinand</str>
<str>françois rauber</str>
</arr>
</lst>
<str name="collation">michael bolton f**k the facts</str>
</lst>
</lst>
</response>.那么,当我使用michael f搜索时,我应该只得到michael foret。数据从f开始。我在Solr中的配置设置有什么问题吗?
发布于 2012-08-01 07:40:42
我写了一些关于用Solr做自动建议的不同方法的旧链接,以及一些你应该问自己的问题,以便做出正确的选择。简单地说,开箱即用的方式是:
它们都有优点和局限性,同时,我建议你阅读这篇文章。
如果您正在寻找一个完整而灵活的解决方案,这需要更多的工作,那么您也可以查看这篇文章。
如果您已经决定使用NGrams,给出您的示例,您可以使用EdgeNGramFilterFactory对员工进行minGramSize 1索引,然后搜索该字段以提供自动建议。对于客户端部分,需要使用一些javascript。
https://stackoverflow.com/questions/11752631
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