环境- Java版本“11.0.12”2021年7月20日LTS，解决方案-8.9.0
下面是Solr索引的字段声明：

<field name="Field1" type="string" multiValued="false" indexed="false" stored="true"/>
<field name="author" type="text_general" multiValued="false" indexed="true" stored="true"/>
<field name="Field2" type="string" multiValued="false" indexed="false" stored="true"/>

字段类型：

<fieldType name="text_general" class="solr.TextField" positionIncrementGap="100" multiValued="true">
    <analyzer type="index">
      <tokenizer class="solr.StandardTokenizerFactory"/>
      <filter class="solr.LowerCaseFilterFactory"/>
    </analyzer>
    <analyzer type="query">
      <tokenizer class="solr.StandardTokenizerFactory"/>
      <filter class="solr.LowerCaseFilterFactory"/>
    </analyzer>
  </fieldType>

Solr-core已使用以下命令创建：./solr create -c fuzzyCore用于索引数据的.csv文件为https://drive.google.com/file/d/1z684x2GKsSQWGAdyi6O4uKit4a96iiuh/view
我知道“Lucene支持基于Levenshtein距离或编辑距离算法的模糊搜索。要进行模糊搜索，需要使用单个单词术语末尾的波浪号“~"符号。
~运算符用于运行模糊搜索。我们需要在每一个项后面添加~运算符，还可以指定距离，距离是可选的，如下所示。”

{FIELD_NAME:TERM_1~{Edit_Distance}

型
由于“KeywordTokenizer”将整个输入保存为单个标记，并且我希望每个单词都是可搜索的，因此使用了“StandardTokenizer”。
请求如下所示：

curl "http://localhost:8983/solr/fuzzyCore/select" --data-urlencode "q=author:beaeb~' AND Field1:(w1 x)" --data-urlencode "rows=20"
{
  "responseHeader":{
    "status":0,
    "QTime":14,
    "params":{
      "q":"author:beaeb~' AND Field1:(w1 x)",
      "rows":"20"}},
  "response":{"numFound":12,"start":0,"numFoundExact":true,"docs":[
      {
        "Field1":"x",
        "author":"bbaeb",
        "Field2":"o",
        "id":"f8fbb58d-9e0d-47b2-aa3c-e3920e25a7d1",
        "_version_":1746912583192936455},
      {
        "Field1":"x",
        "author":"beabe",
        "Field2":"p",
        "id":"7d73e7ba-8455-4eb4-818f-1e19b1d35a22",
        "_version_":1746912583244316680},
      {
        "Field1":"x",
        "author":"baeeb",
        "Field2":"n",
        "id":"b4e86fc3-7ecc-407b-b638-88d167a66934",
        "_version_":1746912583292551181},
      {
        "Field1":"x",
        "author":"beaea",
        "Field2":"o",
        "id":"131ad4de-eaa2-47b8-b58b-e690316eed1c",
        "_version_":1746912583314571267},
      {
        "Field1":"x",
        "author":"bbaeb",
        "Field2":"q",
        "id":"d034e66c-a302-4b24-a186-5a2bafecab40",
        "_version_":1746912583392165900},
      {
        "Field1":"x",
        "author":"beacb",
        "Field2":"n",
        "id":"c0ab3e48-2b2d-438d-8cc2-1acfcf6efde8",
        "_version_":1746912583490732036},
      {
        "Field1":"x",
        "author":"aeabe",
        "Field2":"m",
        "id":"4472ec5d-eace-446f-b1d6-c8911be24368",
        "_version_":1746912583266336776},
      {
        "Field1":"x",
        "author":"baeab",
        "Field2":"q",
        "id":"b4c24da3-9199-4eba-a8a3-e30fc17d9167",
        "_version_":1746912583274725377},
      {
        "Field1":"x",
        "author":"aeaea",
        "Field2":"n",
        "id":"bb17bc26-e392-4fed-ae46-bbdd40af0ac0",
        "_version_":1746912583294648329},
      {
        "Field1":"x",
        "author":"aeceb",
        "Field2":"p",
        "id":"5e5cfe21-ff19-464f-8adf-8b5888c418e4",
        "_version_":1746912583296745472},
      {
        "Field1":"x",
        "author":"baeab",
        "Field2":"p",
        "id":"54a3c8e6-137d-47c3-9192-a5ed1904dc55",
        "_version_":1746912583357562889},
      {
        "Field1":"x",
        "author":"aeeeb",
        "Field2":"m",
        "id":"200694a0-6248-49fd-8182-dac79657e045",
        "_version_":1746912583385874444}]
  }}

，尽管author："bebbeb“存在于Field 1：w1的数据中，但上述请求未检索输出”author：bebbeb“。这可以使用以下两个命令进行验证

curl "http://localhost:8983/solr/fuzzyCore/select" --data-urlencode "q=author:beaeb~' AND Field1:w1"
{
  "responseHeader":{
    "status":0,
    "QTime":4,
    "params":{
      "q":"author:beaeb~' AND Field1:w1"}},
  "response":{"numFound":0,"start":0,"numFoundExact":true,"docs":[]
  }}

尽管以下命令的输出为

curl "http://localhost:8983/solr/fuzzyCore/select" --data-urlencode "q=Field1:w1"
{
  "responseHeader":{
    "status":0,
    "QTime":1,
    "params":{
      "q":"Field1:w1"}},
  "response":{"numFound":1,"start":0,"numFoundExact":true,"docs":[
      {
        "Field1":"w1",
        "author":"bebbeb",
        "Field2":"p",
        "id":"4356dff2-ab93-4bab-a4dc-1797db38240c",
        "_version_":1746912583504363523}]
  }}

所以我试着贴出你需要了解我的问题的一切。有什么想法吗？为什么作者：“bebbeb”没有作为输入的输出结果：beaeb~