其他查询解析器

q={!boost b=log(popularity)}name:foo

// NOTE: we "add 1" to the denominator to prevent divide by zero
q={!boost b=div(1,add(1,price))}name:foo

q={!boost b=query($my_boost)}name:foo
my_boost=category:electronics

curl -H 'Content-Type: application/json' 'https://:8983/solr/my_graph/update?commit=true' --data-binary '[
  {"id":"A","foo":  7, "out_edge":["1","9"],  "in_edge":["4","2"]  },
  {"id":"B","foo": 12, "out_edge":["3","6"],  "in_edge":["1"]      },
  {"id":"C","foo": 10, "out_edge":["5","2"],  "in_edge":["9"]      },
  {"id":"D","foo": 20, "out_edge":["4","7"],  "in_edge":["3","5"]  },
  {"id":"E","foo": 17, "out_edge":[],         "in_edge":["6"]      },
  {"id":"F","foo": 11, "out_edge":[],         "in_edge":["7"]      },
  {"id":"G","foo":  7, "out_edge":["8"],      "in_edge":[]         },
  {"id":"H","foo": 10, "out_edge":[],         "in_edge":["8"]      }
]'

https://:8983/solr/my_graph/query?fl=id&q={!graph+from=in_edge+to=out_edge}id:A

"response":{"numFound":6,"start":0,"docs":[
   { "id":"A" },
   { "id":"B" },
   { "id":"C" },
   { "id":"D" },
   { "id":"E" },
   { "id":"F" } ]
}

https://:8983/solr/my_graph/query?fl=id&q={!graph+from=in_edge+to=out_edge+traversalFilter='foo:[*+TO+15]'}id:A

...
"response":{"numFound":3,"start":0,"docs":[
   { "id":"A" },
   { "id":"B" },
   { "id":"C" } ]
}

https://:8983/solr/my_graph/query?fl=id&q={!graph+from=in_edge+to=out_edge+maxDepth=1}foo:[*+TO+10]

...
"response":{"numFound":6,"start":0,"docs":[
   { "id":"A" },
   { "id":"B" },
   { "id":"C" },
   { "id":"D" },
   { "id":"G" },
   { "id":"H" } ]
}

curl -H 'Content-Type: application/json' 'https://:8983/solr/alt_graph/update?commit=true' --data-binary '[
  {"id":"A","foo":  7, "out_edge":["B","C"] },
  {"id":"B","foo": 12, "out_edge":["E","D"] },
  {"id":"C","foo": 10, "out_edge":["A","D"] },
  {"id":"D","foo": 20, "out_edge":["A","F"] },
  {"id":"E","foo": 17, "out_edge":[]        },
  {"id":"F","foo": 11, "out_edge":[]        },
  {"id":"G","foo":  7, "out_edge":["H"]     },
  {"id":"H","foo": 10, "out_edge":[]        }
  ]'

https://:8983/solr/alt_graph/query?fl=id&q={!graph+from=id+to=out_edge+maxDepth=1}foo:[*+TO+10]

...
"response":{"numFound":6,"start":0,"docs":[
   { "id":"A" },
   { "id":"B" },
   { "id":"C" },
   { "id":"D" },
   { "id":"G" },
   { "id":"H" } ]
}

{!hash_range f="field_name" l="0" u="12345"}

<cache name="hash_field_name"
       class="solr.LRUCache"
       size="128"
       initialSize="0"
       regenerator="solr.NoOpRegenerator"/>

 <fieldType name="text_min_hash" class="solr.TextField" positionIncrementGap="100">
    <analyzer>
      <tokenizer class="solr.ICUTokenizerFactory"/>
      <filter class="solr.ICUFoldingFilterFactory"/>
      <filter class="solr.ShingleFilterFactory" minShingleSize="5" outputUnigrams="false" outputUnigramsIfNoShingles="false" maxShingleSize="5" tokenSeparator=" "/>
      <filter class="org.apache.lucene.analysis.minhash.MinHashFilterFactory" bucketCount="512" hashSetSize="1" hashCount="1"/>
    </analyzer>
  </fieldType>
...

  <field name="min_hash_analysed" type="text_min_hash" multiValued="false" indexed="true" stored="false" />

 {!min_hash field="min_hash_analysed"}At least five or more tokens

 {!min_hash field="min_hash_analysed" sim="0.5"}At least five or more tokens

 {!min_hash field="min_hash_analysed" sim="0.5" tp="0.5"}At least five or more tokens

    ICUTokenizerFactory factory = new ICUTokenizerFactory(Collections.EMPTY_MAP);
    factory.inform(null);
    Tokenizer tokenizer = factory.create();
    tokenizer.setReader(new StringReader(text));
    ICUFoldingFilterFactory filter = new ICUFoldingFilterFactory(Collections.EMPTY_MAP);
    TokenStream ts = filter.create(tokenizer);
    HashMap<String, String> args = new HashMap<>();
    args.put("minShingleSize", "5");
    args.put("outputUnigrams", "false");
    args.put("outputUnigramsIfNoShingles", "false");
    args.put("maxShingleSize", "5");
    args.put("tokenSeparator", " ");
    ShingleFilterFactory sff = new ShingleFilterFactory(args);
    ts = sff.create(ts);
    HashMap<String, String> args2 = new HashMap<>();
    args2.put("bucketCount", "512");
    args2.put("hashSetSize", "1");
    args2.put("hashCount", "1");
    MinHashFilterFactory mhff = new MinHashFilterFactory(args2);
    ts = mhff.create(ts);

    CharTermAttribute termAttribute = ts.getAttribute(CharTermAttribute.class);

    ts.reset();
    while (ts.incrementToken())
    {
        char[] buff = termAttribute.buffer();
        ...
     }
     ts.end();

 <field name="min_hash_string" type="strings" multiValued="true" indexed="true" stored="true"/>

 <!-- Optional -->
 <field name="min_hash_analysed" type="text_min_hash" multiValued="false" indexed="true" stored="false"/>

 <fieldType name="strings" class="solr.StrField" sortMissingLast="true" multiValued="true"/>

 <!-- Optional -->
 <fieldType name="text_min_hash" class="solr.TextField" positionIncrementGap="100">
    <analyzer>
      <tokenizer class="solr.ICUTokenizerFactory"/>
      <filter class="solr.ICUFoldingFilterFactory"/>
      <filter class="solr.ShingleFilterFactory" minShingleSize="5" outputUnigrams="false" outputUnigramsIfNoShingles="false" maxShingleSize="5" tokenSeparator=" "/>
      <filter class="org.apache.lucene.analysis.minhash.MinHashFilterFactory" bucketCount="512" hashSetSize="1" hashCount="1"/>
    </analyzer>
  </fieldType>

{!min_hash field="min_hash_string" sep=","}HASH1,HASH2,HASH3

{!min_hash field="min_hash_string" sim="0.9" analyzer_field="min_hash_analysed"}Lets hope the config and code for analysis are in sync

{!min_hash field="min_hash_analysed" analyzer_field="min_hash_string" sep=","}HASH1,HASH2,HASH3

{!payload_score f=my_field_dpf v=some_term func=max}

{!payload_score f=payload_field func=sum operator=or}A B C

{!payload_check f=words_dps payloads="VERB NOUN"}searching stuff

{!payload_check f=words_dpf payloads="0.75" op="gte"}foo

<queryParser name="xmlparser" class="XmlQParserPlugin">
  <str name="MyCustomQuery">com.mycompany.solr.search.MyCustomQueryBuilder</str>
</queryParser>