Solr不搜索整数？ | Solr不搜索整数

本文介绍了Solr不搜索整数？的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！问题描述 29岁程序员，3月因学历无情被辞！我目前正在使用Solr为电子商务网站开发搜索引擎。所以我在我的schema.xml中得到这两个字段： < field name =skutype =stringindexed =truestored =truerequired =false/> < field name =collectiontype =stringindexed =truestored =truerequired =false/> （完整的schema.xml如下）有关信息： sku看起来像这样：959620,929345,912365，... 集合看起来像这样：Alcott，Spigrim，Tantal，... 例如，当我查找： http：// localhost：8080 / solr / myindex / select /？q = Alcott 我获得了所有带有Alcott集合的产品。但是当我查找时; http：// localhost：8080 / solr / myindex / select /？q = 959620 我什么都没有。但是，当我深入这个请求， http：// localhost：8080 / solr / myindex / select /？ q = sku：969520 我已将产品附加到此SKU。有没有办法有q = 969520工作？感谢您的帮助！ schema.xml： <？xml version =1.0encoding =UTF-8 > < schema name =exampleversion =1.2> < types> < fieldType name =stringclass =solr.StrFieldsortMissingLast =trueomitNorms =true/> <！ - boolean type：true或false - > < fieldType name =booleanclass =solr.BoolFieldsortMissingLast =trueomitNorms =true/> <！ - 二进制数据类型。数据应该作为Base64编码字符串发送/检索。 < fieldtype name =binaryclass =solr.BinaryField/> < fieldType name =intclass =solr.TrieIntFieldprecisionStep =0omitNorms =truepositionIncrementGap =0/> < fieldType name =floatclass =solr.TrieFloatFieldprecisionStep =0omitNorms =truepositionIncrementGap =0/> < fieldType name =longclass =solr.TrieLongFieldprecisionStep =0omitNorms =truepositionIncrementGap =0/> < fieldType name =doubleclass =solr.TrieDoubleFieldprecisionStep =0omitNorms =truepositionIncrementGap =0/> < fieldType name =tintclass =solr.TrieIntFieldprecisionStep =8omitNorms =truepositionIncrementGap =0/> < fieldType name =tfloatclass =solr.TrieFloatFieldprecisionStep =8omitNorms =truepositionIncrementGap =0/> < fieldType name =tlongclass =solr.TrieLongFieldprecisionStep =8omitNorms =truepositionIncrementGap =0/> < fieldType name =tdoubleclass =solr.TrieDoubleFieldprecisionStep =8omitNorms =truepositionIncrementGap =0/> < fieldType name =dateclass =solr.TrieDateFieldomitNorms =trueprecisionStep =0positionIncrementGap =0/> <！ - 基于Trie的日期字段，用于更快的日期范围查询和日期分面。 - > < fieldType name =tdateclass =solr.TrieDateFieldomitNorms =trueprecisionStep =6positionIncrementGap =0/> < fieldType name =pintclass =solr.IntFieldomitNorms =true/> < fieldType name =plongclass =solr.LongFieldomitNorms =true/> < fieldType name =pfloatclass =solr.FloatFieldomitNorms =true/> < fieldType name =pdoubleclass =solr.DoubleFieldomitNorms =true/> < fieldType name =pdateclass =solr.DateFieldsortMissingLast =trueomitNorms =true/> < fieldType name =sintclass =solr.SortableIntFieldsortMissingLast =trueomitNorms =true/> < fieldType name =slongclass =solr.SortableLongFieldsortMissingLast =trueomitNorms =true/> < fieldType name =sfloatclass =solr.SortableFloatFieldsortMissingLast =trueomitNorms =true/> < fieldType name =sdoubleclass =solr.SortableDoubleFieldsortMissingLast =trueomitNorms =true/> < fieldType name =randomclass =solr.RandomSortFieldindexed =true/> <！ - 一个文本字段，只分割在空格中，用于字词的精确匹配 - > < fieldType name =text_wsclass =solr.TextFieldpositionIncrementGap =100> < analyzer> < tokenizer class =solr.WhitespaceTokenizerFactory/> < / analyzer> < / fieldType> < fieldType name =textclass =solr.TextFieldpositionIncrementGap =100> < analyzer type =index> < tokenizer class =solr.WhitespaceTokenizerFactory/> <！ - 在这个例子中，我们只使用查询时的同义词< filter class =solr.SynonymFilterFactorysynonyms =index_synonyms.txtignoreCase =trueexpand =假/> - > <！ - 不区分大小写的停用词删除。在索引和查询分析器中添加enablePositionIncrements = true，为更准确的短语查询留下空白。 - > < filter class =solr.StopFilterFactory ignoreCase =true words =stopwords.txt enablePositionIncrements =true / < filter class =solr.WordDelimiterFilterFactorygenerateWordParts =1generateNumberParts =1catenateWords =1catenateNumbers =1catenateAll =0splitOnCaseChange =1/& < filter class =solr.LowerCaseFilterFactory/> < filter class =solr.SnowballPorterFilterFactorylanguage =Englishprotected =protwords.txt/> < / analyzer> < analyzer type =query> < tokenizer class =solr.WhitespaceTokenizerFactory/> < filter class =solr.SynonymFilterFactorysynonyms =synonyms.txtignoreCase =trueexpand =true/> < filter class =solr.StopFilterFactory ignoreCase =true words =stopwords.txt enablePositionIncrements =true / < filter class =solr.WordDelimiterFilterFactorygenerateWordParts =1generateNumberParts =1catenateWords =0catenateNumbers =0catenateAll =0splitOnCaseChange =1/& < filter class =solr.LowerCaseFilterFactory/> < filter class =solr.SnowballPorterFilterFactorylanguage =Englishprotected =protwords.txt/> < / analyzer> < / fieldType> < fieldType name =text_frclass =solr.TextFieldpositionIncrementGap =100> < analyzer type =query> <！ - normalization des accents，cédilles，e dans l'o，... - > < charFilter class =solr.MappingCharFilterFactorymapping =mapping-ISOLatin1Accent.txt/> <！ - découpageselon les espaces - > < tokenizer class =solr.WhitespaceTokenizerFactory/> <！ - suppression de la ponctuation - > < filter class =solr.PatternReplaceFilterFactorypattern =^（\p {Punct} *）（。*？）（\p {Punct} *）$replacement =$ 2/> ; <！ - suppression des tokens vides et des motsdémesurés - > < filter class =solr.LengthFilterFactorymin =1max =100/> <！ - passage en minuscules - > < filter class =solr.LowerCaseFilterFactory/> <！ - suppression desélisions（l'，qu'，...） - > < filter class =solr.ElisionFilterFactoryarticles =elisionwords_fr.txt/> <！ - découpagedes motscomposés - > < filter class =solr.WordDelimiterFilterFactorysplitOnCaseChange =1splitOnNumerics =1stemEnglishPossessive =1generateWordParts =1 generateNumberParts =1catenateWords =1catenateNumbers = 1catenateAll =1preserveOriginal =1/> ;. <！ - suppression des mots insignifiants - > < filter class =solr.StopFilterFactoryignoreCase =1words =stopwords_fr.txtenablePositionIncrements =true/> <！ - gestion des synonymes - > < filter class =solr.SynonymFilterFactorysynonyms =synonyms_fr.txtignoreCase =trueexpand =true/> <！ - partie de mot - > < filter class =solr.EdgeNGramFilterFactoryminGramSize =3maxGramSize =6/> <！ - lemmatisation（pluriels，...） - > < filter class =solr.SnowballPorterFilterFactorylanguage =Frenchprotected =protwords_fr.txt/> <！ - suppression des doublonséventuels - > < filter class =solr.RemoveDuplicatesTokenFilterFactory/> < / analyzer> < analyzer type =index> <！ - normalization des accents，cédilles，e dans l'o，... - > < charFilter class =solr.MappingCharFilterFactorymapping =mapping-ISOLatin1Accent.txt/> <！ - découpageselon les espaces - > < tokenizer class =solr.WhitespaceTokenizerFactory/> <！ - suppression de la ponctuation - > < filter class =solr.PatternReplaceFilterFactorypattern =^（\p {Punct} *）（。*？）（\p {Punct} *）$replacement =$ 2/> ; <！ - suppression des tokens vides et des motsdémesurés - > < filter class =solr.LengthFilterFactorymin =1max =100/> <！ - passage en minuscules - > < filter class =solr.LowerCaseFilterFactory/> <！ - suppression desélisions（l'，qu'，...） - > < filter class =solr.ElisionFilterFactoryarticles =elisionwords_fr.txt/> <！ - découpagedes motscomposés - > < filter class =solr.WordDelimiterFilterFactorysplitOnCaseChange =1splitOnNumerics =1stemEnglishPossessive =1generateWordParts =1 generateNumberParts =1catenateWords =1catenateNumbers = 1catenateAll =1preserveOriginal =1/> <！ - suppression des mots insignifiants - > < filter class =solr.StopFilterFactoryignoreCase =1words =stopwords_fr.txtenablePositionIncrements =true/> <！ - gestion des synonymes - > < filter class =solr.SynonymFilterFactorysynonyms =synonyms_fr.txtignoreCase =trueexpand =true/> <！ - partie de mot - > < filter class =solr.EdgeNGramFilterFactoryminGramSize =3maxGramSize =6/> <！ - lemmatisation（pluriels，...） - > < filter class =solr.SnowballPorterFilterFactorylanguage =Frenchprotected =protwords_fr.txt/> <！ - suppression des doublonséventuels - > < filter class =solr.RemoveDuplicatesTokenFilterFactory/> < / analyzer> < / fieldType> <！ - 不太灵活的匹配，但较少的假匹配。可能不是理想的产品名称，，但可能是好的SKU。可以在错误的地方插入破折号，但仍然匹配。 - > < fieldType name =textTightclass =solr.TextFieldpositionIncrementGap =100> < analyzer> < tokenizer class =solr.WhitespaceTokenizerFactory/> < filter class =solr.SynonymFilterFactorysynonyms =synonyms.txtignoreCase =trueexpand =false/> < filter class =solr.StopFilterFactoryignoreCase =truewords =stopwords.txt/> < filter class =solr.WordDelimiterFilterFactorygenerateWordParts =0generateNumberParts =0catenateWords =1catenateNumbers =1catenateAll =0/> < filter class =solr.LowerCaseFilterFactory/> < filter class =solr.SnowballPorterFilterFactorylanguage =Englishprotected =protwords.txt/> <！ - 此过滤器可以删除出现在相同位置的任何重复的令牌 - 有时可能与WordDelimiterFilter在词干的结合。 - > < filter class =solr.RemoveDuplicatesTokenFilterFactory/> < / analyzer> < / fieldType> <！ - 一个未存储的文本字段 - 如果不知道该字段的语言 - > < fieldType name =textgenclass =solr.TextFieldpositionIncrementGap =100> < analyzer type =index> < tokenizer class =solr.WhitespaceTokenizerFactory/> < filter class =solr.StopFilterFactoryignoreCase =truewords =stopwords.txtenablePositionIncrements =true/> < filter class =solr.WordDelimiterFilterFactorygenerateWordParts =1generateNumberParts =1catenateWords =1catenateNumbers =1catenateAll =0splitOnCaseChange =0/& < filter class =solr.LowerCaseFilterFactory/> < / analyzer> < analyzer type =query> < tokenizer class =solr.WhitespaceTokenizerFactory/> < filter class =solr.SynonymFilterFactorysynonyms =synonyms.txtignoreCase =trueexpand =true/> < filter class =solr.StopFilterFactory ignoreCase =true words =stopwords.txt enablePositionIncrements =true / < filter class =solr.WordDelimiterFilterFactorygenerateWordParts =1generateNumberParts =1catenateWords =0catenateNumbers =0catenateAll =0splitOnCaseChange =0/& < filter class =solr.LowerCaseFilterFactory/> < / analyzer> < / fieldType> <！ - 通常未标记的文本字段，通常对索引进行索引，并且反转（通过ReversedWildcardFilterFactory），以使更高效的引导通配符查询。 - > < fieldType name =text_revclass =solr.TextFieldpositionIncrementGap =100> < analyzer type =index> < tokenizer class =solr.WhitespaceTokenizerFactory/> < filter class =solr.StopFilterFactoryignoreCase =truewords =stopwords.txtenablePositionIncrements =true/> < filter class =solr.WordDelimiterFilterFactorygenerateWordParts =1generateNumberParts =1catenateWords =1catenateNumbers =1catenateAll =0splitOnCaseChange =0/& < filter class =solr.LowerCaseFilterFactory/> < filter class =solr.ReversedWildcardFilterFactorywithOriginal =true maxPosAsterisk =3maxPosQuestion =2maxFractionAsterisk =0.33/> < / analyzer> < analyzer type =query> < tokenizer class =solr.WhitespaceTokenizerFactory/> < filter class =solr.SynonymFilterFactorysynonyms =synonyms.txtignoreCase =trueexpand =true/> < filter class =solr.StopFilterFactory ignoreCase =true words =stopwords.txt enablePositionIncrements =true / < filter class =solr.WordDelimiterFilterFactorygenerateWordParts =1generateNumberParts =1catenateWords =0catenateNumbers =0catenateAll =0splitOnCaseChange =0/& < filter class =solr.LowerCaseFilterFactory/> < / analyzer> < / fieldType> < fieldType name =alphaOnlySortclass =solr.TextFieldsortMissingLast =trueomitNorms =true> < analyzer> <！ - KeywordTokenizer没有实际的标记化，所以整个输入字符串保存为单个标记 - > < tokenizer class =solr.KeywordTokenizerFactory/> <！ - The LowerCase TokenFilter做你所期望的，当你希望你的排序不区分大小写时，它可以是 - > < filter class =solr.LowerCaseFilterFactory/> <！ - TrimFilter删除任何前导或尾随的空格 - > < filter class =solr.TrimFilterFactory/> < filter class =solr.PatternReplaceFilterFactory pattern =（[^ a-z]）replacement =replace =all / < / analyzer> < / fieldType> < fieldtype name =phoneticstored =falseindexed =trueclass =solr.TextField> < analyzer> < tokenizer class =solr.StandardTokenizerFactory/> < filter class =solr.DoubleMetaphoneFilterFactoryinject =false/> < / analyzer> < / fieldtype> < fieldtype name =payloadsstored =falseindexed =trueclass =solr.TextField> < analyzer> < tokenizer class =solr.WhitespaceTokenizerFactory/> <！ - DelimitedPayloadTokenFilter可以将有效载荷放在令牌上...例如，afoo | 1.4的令牌将被索引为foo，有效载荷为1.4f DelimitedPayloadTokenFilterFactory的属性：delimiter - 单字符分隔符。默认为| （pipe）encoder - 如何将以下值编码到playload中 float - > org.apache.lucene.analysis.payloads.FloatEncoder， integer - > o.a.l.a.p.IntegerEncoder identity - > o.a.l.a.p.IdentityEncoder 完全限定类名实现PayloadEncoder，编码器必须有一个无参数构造函数。 - > < filter class =solr.DelimitedPayloadTokenFilterFactoryencoder =float/> < / analyzer> < / fieldtype> <！ - 降低整个字段值，将其保留为单个令牌。 - > < fieldType name =lowercaseclass =solr.TextFieldpositionIncrementGap =100> < analyzer> < tokenizer class =solr.KeywordTokenizerFactory/> < filter class =solr.LowerCaseFilterFactory/> < / analyzer> < / fieldType> <！ - 由于此类型的字段默认不存储或索引，添加到它们的任何数据将被直接忽略。 - > < fieldtype name =ignoredstored =falseindexed =falsemultiValued =trueclass =solr.StrField/> < / types> < fields> <！ - Vu fields - > < field name =idtype =stringindexed =truestored =truerequired =true/> < field name =skutype =stringindexed =truestored =truerequired =false/> < field name =collectiontype =stringindexed =truestored =truerequired =false/> < field name =titletype =text_frrequired =false/> < field name =descriptiontype =text_frrequired =false/> < field name =pricetype =floatrequired =falseindexed =truestored =false/> < field name =brand_idtype =textrequired =false/> < field name =date_onlinetype =daterequired =false/> < field name =product_typetype =textrequired =false/> < field name =selection_idtype =sintrequired =falsemultiValued =trueindexed =truestored =false/> < field name =stock_delaytype =sintrequired =false/> < field name =stocktype =sintrequired =false/> < field name =price_typetype =sintrequired =false/> < field name =main_product_idtype =textrequired =false/> < field name =date_pricetype =daterequired =false/> <！ - attributes - > < dynamicField name =attr_ *type =sintindexed =truemultiValued =true/> < field name =attr_13type =intindexed =truemultiValued =false/> < field name =attr_14type =intindexed =truemultiValued =false/> < field name =attr_19type =intindexed =truemultiValued =false/> <！ - Ce champ contiendra la copie de tous les autres，pour faciliter la recherche - > < field name =globaltype =text_frrequired =falsemultiValued =true/> <！ - 字段的有效属性： name：mandatory - 字段的名称 type：mandatory - 以前定义的类型的名称从< types> indexed：true如果此字段应该被索引（可搜索或可排序） stored：如果此字段应该可检索，则为true compressed：[false]如果此字段应使用gzip压缩（这将仅适用于字段类型是可压缩的;在之间的标准字段类型，只有TextField和StrField） multiValued：如果此字段可能包含多个值每个文档 $ b omitNorms：（expert）设置为true以忽略与相关的规范此字段（这将禁用字段的长度归一化和索引时间 boosting，并保存一些内存）。只有需要索引时间提升的全文字段或字段需要规范。 termVectors：[false]设置为true以存储给定字段的术语向量。当使用MoreLikeThis时，用于相似性的字段应为存储以获得最佳性能。 termPositions：存储位置信息与术语向量。这将增加存储成本。 termOffsets：将偏移量信息与术语向量一起存储。这将增加存储成本。 default：如果未指定值，应使用的值添加文档时。 - > <！ - < field name =idtype =stringindexed =truestored =truerequired =true/> < field name =skutype =textTightindexed =truestored =trueomitNorms =true/> < field name =nametype =textgenindexed =truestored =true/> < field name =alphaNameSorttype =alphaOnlySortindexed =truestored =false/> < field name =manutype =textgenindexed =truestored =trueomitNorms =true/> < field name =cattype =text_wsindexed =truestored =truemultiValued =trueomitNorms =true/> < field name =featurestype =textindexed =truestored =truemultiValued =true/> < field name =includestype =textindexed =truestored =truetermVectors =truetermPositions =truetermOffsets =true/> < field name =weighttype =floatindexed =truestored =true/> < field name =pricetype =floatindexed =truestored =true/> < field name =popularitytype =intindexed =truestored =true/> < field name =inStocktype =booleanindexed =truestored =true/> - > <！ - 公共元数据字段，特别命名为与匹配在解析诸如Word，PDF等富文档时使用SolrCell元数据。一些字段是multiValued，因为Tika当前可能会为它们返回个值。 - > <！ - < field name =titletype =textindexed =truestored =truemultiValued =true/> < field name =subjecttype =textindexed =truestored =true/> < field name =descriptiontype =textindexed =truestored =true/> < field name =commentstype =textindexed =truestored =true/> < field name =authortype =textgenindexed =truestored =true/> < field name =keywordstype =textgenindexed =truestored =true/> < field name =categorytype =textgenindexed =truestored =true/> < field name =content_typetype =stringindexed =truestored =truemultiValued =true/> < field name =last_modifiedtype =dateindexed =truestored =true/> < field name =linkstype =stringindexed =truestored =truemultiValued =true/> - > <！ - catchall字段，包含所有其他可搜索的文本字段（在此模式中通过copyField实现 - > < !-< field name =texttype =textindexed =truestored =falsemultiValued =true/> - > & - > <！ - < field name =text_revtype =text_revindexed =truestored = falsemultiValued =true/> - > <！ - 制造商的非标记化版本，以使制造商更容易对结果进行排序或分组。通过copyField从manu复制 - > <！ - < field name =manu_exacttype =stringindexed =truestored =false/> <！ - < field name =payloadstype =payloadsindexed =truestored =true/> - $ b b<！ - 取消注释以下将使用a默认值NOW创建时间戳字段，以指示每个文档何时被索引。 - > <！ - < field name =timestamptype =dateindexed =truestored =truedefault =NOWmultiValued =false/> - >。 <！ - 动态字段定义。如果未找到字段名称，则如果名称匹配任何模式，将使用dynamicFields 。限制：name属性中的类似glob的模式必须在开始或结束处有 a*。示例：name =* _ i将匹配以_i结尾的任何字段（如myid_i，z_i）较长的模式将首先匹配。如果等号模式都匹配，则将使用模式中首次出现的模式。 - > <！ - < dynamicField name =* _ itype =intindexed =truestored =true/> < dynamicField name =* _ stype =stringindexed =truestored =true/> < dynamicField name =* _ ltype =longindexed =truestored =true/> < dynamicField name =* _ ttype =textindexed =truestored =true/> < dynamicField name =* _ btype =booleanindexed =truestored =true/> < dynamicField name =* _ ftype =floatindexed =truestored =true/> < dynamicField name =* _ dtype =doubleindexed =truestored =true/> < dynamicField name =* _ dttype =dateindexed =truestored =true/> - > <！ - 一些特里码编码的动态字段，用于更快的范围查询 - > <！ - < dynamicField name =* _ titype =tintindexed =truestored =true/> < dynamicField name =* _ tltype =tlongindexed =truestored =true/> < dynamicField name =* _ tftype =tfloatindexed =truestored =true/> < dynamicField name =* _ tdtype =tdoubleindexed =truestored =true/> < dynamicField name =* _ tdttype =tdateindexed =truestored =true/> < dynamicField name =* _ pitype =pintindexed =truestored =true/> < dynamicField name =ignored_ *type =ignoredmultiValued =true/> < dynamicField name =attr_ *type =textgenindexed =truestored =truemultiValued =true/> < dynamicField name =random_ *type =random/> - > <！ - 取消注释以下内容忽略任何与现有字段名或动态字段不匹配的字段，而不是将它们报告为错误。，则将type =ignored更改为其他类型。 text如果你想要未知字段索引和/或默认存储 - > <！ - dynamicField name =*type =ignoredmultiValued =true/ - > < / fields> <！ - 用于确定和强制执行文档唯一性的字段。除非此字段标记为required =false，否则将为必填字段 - > < uniqueKey> id< / uniqueKey> <！ - 字段，用于当显式字段名不存在时QueryParser使用 - > < defaultSearchField> global< / defaultSearchField> <！ - SolrQueryParser配置：defaultOperator =AND | OR - > < solrQueryParser defaultOperator =OR/> <！ - copyField命令将文档添加到索引时将一个字段复制到另一个字段。它用于以不同的方式索引相同的字段，或将多个字段添加到同一字段以便更容易/更快速的搜索。 - > < copyField source =titledest =global/> < copyField source =descriptiondest =global/> < / schema> 解决方案是在schema.xml中添加这样的指令之后的字段定义： < copyField source =skudest =text>假设defaultSearchField设置为 text 要搜索以96开头的所有SKU，您可以搜索96 *。请记住，虽然这将返回以96开头的所有字段（不仅仅是SKU）。要将其限制为SKU，您必须搜索 sku：96 * 。 / p> I'm currently developping a search engine using Solr for an ecommerce website. So I get these two fields in my schema.xml: <field name="sku" type="string" indexed="true" stored="true" required="false" /> <field name="collection" type="string" indexed="true" stored="true" required="false" />(The complete schema.xml is available below)For information:sku looks like this: 959620, 929345, 912365, ...collection looks like this: Alcott, Spigrim, Tantal,...They are well indexed. For instance, when I look for:http://localhost:8080/solr/myindex/select/?q=AlcottI got all products with collection "Alcott".But when I look for;http://localhost:8080/solr/myindex/select/?q=959620I got nothing.However, when I go deep forward with this request,http://localhost:8080/solr/myindex/select/?q=sku:969520I do have the product attached to this sku.Is there any way to have "q=969520" working ? And even better: "q=96" resulting all products with sku starting by "96" ?Thank you for your help !schema.xml:<?xml version="1.0" encoding="UTF-8" ?><schema name="example" version="1.2"> <types> <fieldType name="string" class="solr.StrField" sortMissingLast="true" omitNorms="true"/>  <fieldType name="boolean" class="solr.BoolField" sortMissingLast="true" omitNorms="true"/>  <fieldtype name="binary" class="solr.BinaryField"/> <fieldType name="int" class="solr.TrieIntField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/> <fieldType name="float" class="solr.TrieFloatField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/> <fieldType name="long" class="solr.TrieLongField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/> <fieldType name="double" class="solr.TrieDoubleField" precisionStep="0" omitNorms="true" positionIncrementGap="0"/> <fieldType name="tint" class="solr.TrieIntField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/> <fieldType name="tfloat" class="solr.TrieFloatField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/> <fieldType name="tlong" class="solr.TrieLongField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/> <fieldType name="tdouble" class="solr.TrieDoubleField" precisionStep="8" omitNorms="true" positionIncrementGap="0"/> <fieldType name="date" class="solr.TrieDateField" omitNorms="true" precisionStep="0" positionIncrementGap="0"/>  <fieldType name="tdate" class="solr.TrieDateField" omitNorms="true" precisionStep="6" positionIncrementGap="0"/> <fieldType name="pint" class="solr.IntField" omitNorms="true"/> <fieldType name="plong" class="solr.LongField" omitNorms="true"/> <fieldType name="pfloat" class="solr.FloatField" omitNorms="true"/> <fieldType name="pdouble" class="solr.DoubleField" omitNorms="true"/> <fieldType name="pdate" class="solr.DateField" sortMissingLast="true" omitNorms="true"/> <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="random" class="solr.RandomSortField" indexed="true" />  <fieldType name="text_ws" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> </analyzer> </fieldType> <fieldType name="text" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="solr.WhitespaceTokenizerFactory"/>   <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.SnowballPorterFilterFactory" language="English" protected="protwords.txt"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.SnowballPorterFilterFactory" language="English" protected="protwords.txt"/> </analyzer> </fieldType> <fieldType name="text_fr" class="solr.TextField" positionIncrementGap="100"> <analyzer type="query">  <charFilter class="solr.MappingCharFilterFactory" mapping="mapping-ISOLatin1Accent.txt"/>  <tokenizer class="solr.WhitespaceTokenizerFactory"/>  <filter class="solr.PatternReplaceFilterFactory" pattern="^(\p{Punct}*)(.*?)(\p{Punct}*)$" replacement="$2"/>  <filter class="solr.LengthFilterFactory" min="1" max="100" />  <filter class="solr.LowerCaseFilterFactory"/>  <filter class="solr.ElisionFilterFactory" articles="elisionwords_fr.txt"/>  <filter class="solr.WordDelimiterFilterFactory" splitOnCaseChange="1" splitOnNumerics="1" stemEnglishPossessive="1" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="1" preserveOriginal="1"/>  <filter class="solr.StopFilterFactory" ignoreCase="1" words="stopwords_fr.txt" enablePositionIncrements="true"/>  <filter class="solr.SynonymFilterFactory" synonyms="synonyms_fr.txt" ignoreCase="true" expand="true"/>  <filter class="solr.EdgeNGramFilterFactory" minGramSize="3" maxGramSize="6"/>  <filter class="solr.SnowballPorterFilterFactory" language="French" protected="protwords_fr.txt"/>  <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> <analyzer type="index">  <charFilter class="solr.MappingCharFilterFactory" mapping="mapping-ISOLatin1Accent.txt"/>  <tokenizer class="solr.WhitespaceTokenizerFactory"/>  <filter class="solr.PatternReplaceFilterFactory" pattern="^(\p{Punct}*)(.*?)(\p{Punct}*)$" replacement="$2"/>  <filter class="solr.LengthFilterFactory" min="1" max="100" />  <filter class="solr.LowerCaseFilterFactory"/>  <filter class="solr.ElisionFilterFactory" articles="elisionwords_fr.txt"/>  <filter class="solr.WordDelimiterFilterFactory" splitOnCaseChange="1" splitOnNumerics="1" stemEnglishPossessive="1" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="1" preserveOriginal="1"/>  <filter class="solr.StopFilterFactory" ignoreCase="1" words="stopwords_fr.txt" enablePositionIncrements="true"/>  <filter class="solr.SynonymFilterFactory" synonyms="synonyms_fr.txt" ignoreCase="true" expand="true"/>  <filter class="solr.EdgeNGramFilterFactory" minGramSize="3" maxGramSize="6"/>  <filter class="solr.SnowballPorterFilterFactory" language="French" protected="protwords_fr.txt"/>  <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> </fieldType>  <fieldType name="textTight" class="solr.TextField" positionIncrementGap="100" > <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="false"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt"/> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="0" generateNumberParts="0" catenateWords="1" catenateNumbers="1" catenateAll="0"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.SnowballPorterFilterFactory" language="English" protected="protwords.txt"/>  <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> </fieldType>  <fieldType name="textgen" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="0"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="0"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> </fieldType>  <fieldType name="text_rev" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="0"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.ReversedWildcardFilterFactory" withOriginal="true" maxPosAsterisk="3" maxPosQuestion="2" maxFractionAsterisk="0.33"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="0"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> </fieldType> <fieldType name="alphaOnlySort" class="solr.TextField" sortMissingLast="true" omitNorms="true"> <analyzer>  <tokenizer class="solr.KeywordTokenizerFactory"/>  <filter class="solr.LowerCaseFilterFactory" />  <filter class="solr.TrimFilterFactory" /> <filter class="solr.PatternReplaceFilterFactory" pattern="([^a-z])" replacement="" replace="all" /> </analyzer> </fieldType> <fieldtype name="phonetic" stored="false" indexed="true" class="solr.TextField" > <analyzer> <tokenizer class="solr.StandardTokenizerFactory"/> <filter class="solr.DoubleMetaphoneFilterFactory" inject="false"/> </analyzer> </fieldtype> <fieldtype name="payloads" stored="false" indexed="true" class="solr.TextField" > <analyzer> <tokenizer class="solr.WhitespaceTokenizerFactory"/>  <filter class="solr.DelimitedPayloadTokenFilterFactory" encoder="float"/> </analyzer> </fieldtype>  <fieldType name="lowercase" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.KeywordTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory" /> </analyzer> </fieldType>  <fieldtype name="ignored" stored="false" indexed="false" multiValued="true" class="solr.StrField" /> </types> <fields>  <field name="id" type="string" indexed="true" stored="true" required="true" /> <field name="sku" type="string" indexed="true" stored="true" required="false" /> <field name="collection" type="string" indexed="true" stored="true" required="false" /> <field name="title" type="text_fr" required="false" /> <field name="description" type="text_fr" required="false" /> <field name="price" type="float" required="false" indexed="true" stored="false" /> <field name="brand_id" type="text" required="false" /> <field name="date_online" type="date" required="false" /> <field name="product_type" type="text" required="false" /> <field name="selection_id" type="sint" required="false" multiValued="true" indexed="true" stored="false" /> <field name="stock_delay" type="sint" required="false" /> <field name="stock" type="sint" required="false" /> <field name="price_type" type="sint" required="false" /> <field name="main_product_id" type="text" required="false" /> <field name="date_price" type="date" required="false" />  <dynamicField name="attr_*" type="sint" indexed="true" multiValued="true"/> <field name="attr_13" type="int" indexed="true" multiValued="false"/> <field name="attr_14" type="int" indexed="true" multiValued="false"/> <field name="attr_19" type="int" indexed="true" multiValued="false"/>  <field name="global" type="text_fr" required="false" multiValued="true" />                    </fields>  <uniqueKey>id</uniqueKey>  <defaultSearchField>global</defaultSearchField>  <solrQueryParser defaultOperator="OR"/>  <copyField source="title" dest="global"/> <copyField source="description" dest="global"/></schema> 解决方案 Yes add a directive like this in your schema.xml after the field definitions:<copyField source="sku" dest="text">assuming that the defaultSearchField is set to text.To search for all SKUs beginning with 96 you can search for 96*. Keep in mind though this will return all fields (not just SKUs) that begin with 96. To restrict it to SKUs, you will have to search for sku:96*. 这篇关于Solr不搜索整数？的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！上岸，阿里云！