所以我正在运行一个俚语字典类型的网站,之前一直使用mysql LIKE进行网站搜索。它运作正常。无论如何,现在我正在更新网站并且正在考虑使用带有SOLR的django-haystack(似乎是最好的搜索选项之一?)
我让它运行,但搜索结果没有任何好处。例如,搜索单词“LOL”会将“Flood”作为第一个结果,因为它还有一个充满“LOL LOL LOL LOL LOL LOL”的示例,而不是首先显示单词LOL。
因此只能从Flood示例中仅标记一个LOL(我是SOLR的新手,所以这可能是我错误的方式)。或者我可以只提高单词标题的值(所以搜索项与标题匹配的单词首先出现,而searchterm与示例匹配的单词排在第二位)?我已经尝试了django-haystack场地提升,但它似乎没有做太多。
提前致谢!
编辑:这是SOLR计划(它有点大,主要由Django-Haystack自动生成):
<?xml version="1.0" ?>
<schema name="default" version="1.1">
<types>
<fieldtype name="string" class="solr.StrField" sortMissingLast="true" omitNorms="true"/>
<fieldType name="boolean" class="solr.BoolField" sortMissingLast="true" omitNorms="true"/>
<!-- Numeric field types that manipulate the value into
a string value that isn't human-readable in its internal form,
but with a lexicographic ordering the same as the numeric ordering,
so that range queries work correctly. -->
<fieldType name="sint" class="solr.SortableIntField" sortMissingLast="true" omitNorms="true"/>
<fieldType name="slong" class="solr.SortableLongField" sortMissingLast="true" omitNorms="true"/>
<fieldType name="sfloat" class="solr.SortableFloatField" sortMissingLast="true" omitNorms="true"/>
<fieldType name="sdouble" class="solr.SortableDoubleField" sortMissingLast="true" omitNorms="true"/>
<fieldType name="date" class="solr.DateField" sortMissingLast="true" omitNorms="true"/>
<fieldType name="text" class="solr.TextField" positionIncrementGap="100">
<analyzer type="index">
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
<!-- in this example, we will only use synonyms at query time
<filter class="solr.SynonymFilterFactory" synonyms="index_synonyms.txt" ignoreCase="true" expand="false"/>
-->
<!-- find finnish ones <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt"/> -->
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
<filter class="solr.SnowballPorterFilterFactory" language="Finnish" />
<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
<filter class="solr.EdgeNGramFilterFactory" minGramSize="2" maxGramSize="15" side="front" />
</analyzer>
<analyzer type="query">
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
<filter class="solr.SnowballPorterFilterFactory" language="Finnish" />
<!-- <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> -->
<!-- find finnish ones <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt"/> -->
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.RemoveDuplicatesTokenFilterFactory"/>
</analyzer>
</fieldType>
<fieldType name="text_ws" class="solr.TextField" positionIncrementGap="100">
<analyzer>
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
</analyzer>
</fieldType>
<fieldType name="ngram" class="solr.TextField" >
<analyzer type="index">
<tokenizer class="solr.KeywordTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
<filter class="solr.NGramFilterFactory" minGramSize="3" maxGramSize="15" />
</analyzer>
<analyzer type="query">
<tokenizer class="solr.KeywordTokenizerFactory"/>
<filter class="solr.LowerCaseFilterFactory"/>
</analyzer>
</fieldType>
<fieldType name="edge_ngram" class="solr.TextField" positionIncrementGap="1">
<analyzer type="index">
<tokenizer class="solr.WhitespaceTokenizerFactory" />
<filter class="solr.LowerCaseFilterFactory" />
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/>
<filter class="solr.EdgeNGramFilterFactory" minGramSize="2" maxGramSize="15" side="front" />
</analyzer>
<analyzer type="query">
<tokenizer class="solr.WhitespaceTokenizerFactory" />
<filter class="solr.LowerCaseFilterFactory" />
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/>
</analyzer>
</fieldType>
</types>
<fields>
<!-- general -->
<field name="id" type="string" indexed="true" stored="true" multiValued="false" required="true"/>
<field name="django_ct" type="string" indexed="true" stored="true" multiValued="false" />
<field name="django_id" type="string" indexed="true" stored="true" multiValued="false" />
<dynamicField name="*_i" type="sint" indexed="true" stored="true"/>
<dynamicField name="*_s" type="string" indexed="true" stored="true"/>
<dynamicField name="*_l" type="slong" indexed="true" stored="true"/>
<dynamicField name="*_t" type="text" indexed="true" stored="true"/>
<dynamicField name="*_b" type="boolean" indexed="true" stored="true"/>
<dynamicField name="*_f" type="sfloat" indexed="true" stored="true"/>
<dynamicField name="*_d" type="sdouble" indexed="true" stored="true"/>
<dynamicField name="*_dt" type="date" indexed="true" stored="true"/>
<field name="rendered" type="string" indexed="false" stored="true" multiValued="false" />
<field name="word" type="text" indexed="true" stored="true" multiValued="false" />
<field name="author" type="text" indexed="true" stored="true" multiValued="false" />
<field name="text" type="text" indexed="true" stored="true" multiValued="false" />
<field name="explanation" type="text" indexed="true" stored="true" multiValued="false" />
<field name="example" type="text" indexed="true" stored="true" multiValued="false" />
</fields>
<!-- field to use to determine and enforce document uniqueness. -->
<uniqueKey>id</uniqueKey>
<!-- field for the QueryParser to use when an explicit fieldname is absent -->
<defaultSearchField>text</defaultSearchField>
<!-- SolrQueryParser configuration: defaultOperator="AND|OR" -->
<solrQueryParser defaultOperator="AND" />
</schema>
答案 0 :(得分:3)
你的最后评论为我解决了这个问题。您需要注意的是Relevance in general以及特殊情况下的Field Boosting。
为了在字段上使用该查询时增强,您需要使用Solr的DisMax Handler或其扩展eDisMax处理程序。你可以通过'qf parameter告诉该处理程序要搜索的字段以及每个字段的提升方式。
e.g。
qf="word^10.0 title^5.0 exmaple^0.5"
您可以在发送给Solr的每个搜索查询中添加该qf参数,也可以在solrconfig.xml中对其进行配置。
<requestHandler name="standard"
class="solr.StandardRequestHandler" default="true">
<!-- default values for query parameters -->
<lst name="defaults">
<str name="defType">edismax</str>
<str name="q.alt">*:*</str>
<str name="qf">word^10.0 title^5.0 exmaple^0.5</str>
<str name="fl">*,score</str>
<str name="mm">100%</str>
</lst>
</requestHandler>
<queryParser name="edismax"
class="org.apache.solr.search.ExtendedDismaxQParserPlugin" />
进一步阅读