使用基于, 标记的字段类型(即列表中的每个条目都会产生一个单独的标记)。您可以使用SimplifiedRegularExpressionPatternTokenizer:
<fieldType name="text" class="solr.TextField">
<analyzer>
<tokenizer class="solr.SimplePatternTokenizerFactory" pattern="[^,]+"/>
</analyzer>
</fieldType>
通过询问同时存在 fq=field:(JSON AND AngularJS) 的文档来查询索引。
(问题更新后)
首先 - 您的字段似乎是 string 字段,而不是 TextField。
通过 API 添加具有正确定义的字段:
curl -X POST -H 'Content-type:application/json' --data-binary '{
"add-field-type" : {
"name":"comma-separated-list",
"class":"solr.TextField",
"positionIncrementGap":"100",
"analyzer" : {
"tokenizer":{
"class":"solr.SimplePatternTokenizerFactory", "pattern": "[^,]+" },
}
}
}
}' http://localhost:8983/solr/collectionname/schema
添加一组示例文档后:
[
{
"langs":"JSON,AngularJS,Microsoft Visual Basic",
"id":"foo",
"address":"None",
"_version_":1606953238273196032},
{
"langs":"JSON,AngularJS",
"id":"foo2",
"address":"None",
"_version_":1606953238277390336},
{
"langs":"JSON,Microsoft Visual Basic",
"id":"foo3",
"address":"None",
"_version_":1606953238278438912},
{
"langs":"AngularJS,JSON",
"id":"foo4",
"address":"None",
"_version_":1606953238278438913}]
然后使用fq=langs:(JSON AND AngularJS)&q=*:*)查询:
{
"langs":"JSON,AngularJS,Microsoft Visual Basic",
"id":"foo",
"address":"None",
"_version_":1606953238273196032},
{
"langs":"JSON,AngularJS",
"id":"foo2",
"address":"None",
"_version_":1606953238277390336},
{
"langs":"AngularJS,JSON",
"id":"foo4",
"address":"None",
"_version_":1606953238278438913}]
未定义AngularJS 的文档已被忽略。