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 </pre><pre class="rust"><code><span class="kw">use </span><span class="kw">super</span>::MoreLikeThis;
 <span class="kw">use </span><span class="kw">crate</span>::query::{EnableScoring, Query, Weight};
 <span class="kw">use </span><span class="kw">crate</span>::schema::{Field, Value};
 <span class="kw">use </span><span class="kw">crate</span>::DocAddress;

 <span class="doccomment">/// A query that matches all of the documents similar to a document
 /// or a set of field values provided.
 ///
 /// # Examples
 ///
 /// ```
 /// use tantivy::DocAddress;
 /// use tantivy::query::MoreLikeThisQuery;
 ///
 /// let query = MoreLikeThisQuery::builder()
 ///     .with_min_doc_frequency(1)
 ///     .with_max_doc_frequency(10)
 ///     .with_min_term_frequency(1)
 ///     .with_min_word_length(2)
 ///     .with_max_word_length(5)
 ///     .with_boost_factor(1.0)
 ///     .with_stop_words(vec![&quot;for&quot;.to_string()])
 ///     .with_document(DocAddress::new(2, 1));
 /// ```
 </span><span class="attribute">#[derive(Debug, Clone)]
 </span><span class="kw">pub struct </span>MoreLikeThisQuery {
     mlt: MoreLikeThis,
     target: TargetDocument,
 }

 <span class="attribute">#[derive(Debug, PartialEq, Clone)]
 </span><span class="kw">enum </span>TargetDocument {
     DocumentAdress(DocAddress),
     DocumentFields(Vec&lt;(Field, Vec&lt;Value&gt;)&gt;),
 }

 <span class="kw">impl </span>MoreLikeThisQuery {
     <span class="doccomment">/// Creates a new builder.
     </span><span class="kw">pub fn </span>builder() -&gt; MoreLikeThisQueryBuilder {
         MoreLikeThisQueryBuilder::default()
     }
 }

 <span class="kw">impl </span>Query <span class="kw">for </span>MoreLikeThisQuery {
     <span class="kw">fn </span>weight(<span class="kw-2">&amp;</span><span class="self">self</span>, enable_scoring: EnableScoring&lt;<span class="lifetime">&#39;_</span>&gt;) -&gt; <span class="kw">crate</span>::Result&lt;Box&lt;<span class="kw">dyn </span>Weight&gt;&gt; {
         <span class="kw">let </span>searcher = <span class="kw">match </span>enable_scoring {
             EnableScoring::Enabled(searcher) =&gt; searcher,
             EnableScoring::Disabled(<span class="kw">_</span>) =&gt; {
                 <span class="kw">let </span>err = <span class="string">&quot;MoreLikeThisQuery requires to enable scoring.&quot;</span>.to_string();
                 <span class="kw">return </span><span class="prelude-val">Err</span>(<span class="kw">crate</span>::TantivyError::InvalidArgument(err));
             }
         };
         <span class="kw">match </span><span class="kw-2">&amp;</span><span class="self">self</span>.target {
             TargetDocument::DocumentAdress(doc_address) =&gt; <span class="self">self
                 </span>.mlt
                 .query_with_document(searcher, <span class="kw-2">*</span>doc_address)<span class="question-mark">?
                 </span>.weight(enable_scoring),
             TargetDocument::DocumentFields(doc_fields) =&gt; <span class="self">self
                 </span>.mlt
                 .query_with_document_fields(searcher, doc_fields)<span class="question-mark">?
                 </span>.weight(enable_scoring),
         }
     }
 }

 <span class="doccomment">/// The builder for more-like-this query
 </span><span class="attribute">#[derive(Debug, Clone, Default)]
 </span><span class="kw">pub struct </span>MoreLikeThisQueryBuilder {
     mlt: MoreLikeThis,
 }

 <span class="kw">impl </span>MoreLikeThisQueryBuilder {
     <span class="doccomment">/// Sets the minimum document frequency.
     ///
     /// The resulting query will ignore words which do not occur
     /// in at least this many docs.
     </span><span class="attribute">#[must_use]
     </span><span class="kw">pub fn </span>with_min_doc_frequency(<span class="kw-2">mut </span><span class="self">self</span>, value: u64) -&gt; <span class="self">Self </span>{
         <span class="self">self</span>.mlt.min_doc_frequency = <span class="prelude-val">Some</span>(value);
         <span class="self">self
     </span>}

     <span class="doccomment">/// Sets the maximum document frequency.
     ///
     /// The resulting query will ignore words which occur
     /// in more than this many docs.
     </span><span class="attribute">#[must_use]
     </span><span class="kw">pub fn </span>with_max_doc_frequency(<span class="kw-2">mut </span><span class="self">self</span>, value: u64) -&gt; <span class="self">Self </span>{
         <span class="self">self</span>.mlt.max_doc_frequency = <span class="prelude-val">Some</span>(value);
         <span class="self">self
     </span>}

     <span class="doccomment">/// Sets the minimum term frequency.
     ///
     /// The resulting query will ignore words less
     /// frequent that this number.
     </span><span class="attribute">#[must_use]
     </span><span class="kw">pub fn </span>with_min_term_frequency(<span class="kw-2">mut </span><span class="self">self</span>, value: usize) -&gt; <span class="self">Self </span>{
         <span class="self">self</span>.mlt.min_term_frequency = <span class="prelude-val">Some</span>(value);
         <span class="self">self
     </span>}

     <span class="doccomment">/// Sets the maximum query terms.
     ///
     /// The resulting query will not return a query with more clause than this.
     </span><span class="attribute">#[must_use]
     </span><span class="kw">pub fn </span>with_max_query_terms(<span class="kw-2">mut </span><span class="self">self</span>, value: usize) -&gt; <span class="self">Self </span>{
         <span class="self">self</span>.mlt.max_query_terms = <span class="prelude-val">Some</span>(value);
         <span class="self">self
     </span>}

     <span class="doccomment">/// Sets the minimum word length.
     ///
     /// The resulting query will ignore words shorter than this length.
     </span><span class="attribute">#[must_use]
     </span><span class="kw">pub fn </span>with_min_word_length(<span class="kw-2">mut </span><span class="self">self</span>, value: usize) -&gt; <span class="self">Self </span>{
         <span class="self">self</span>.mlt.min_word_length = <span class="prelude-val">Some</span>(value);
         <span class="self">self
     </span>}

     <span class="doccomment">/// Sets the maximum word length.
     ///
     /// The resulting query will ignore words longer than this length.
     </span><span class="attribute">#[must_use]
     </span><span class="kw">pub fn </span>with_max_word_length(<span class="kw-2">mut </span><span class="self">self</span>, value: usize) -&gt; <span class="self">Self </span>{
         <span class="self">self</span>.mlt.max_word_length = <span class="prelude-val">Some</span>(value);
         <span class="self">self
     </span>}

     <span class="doccomment">/// Sets the boost factor
     ///
     /// The boost factor used by the resulting query for boosting terms.
     </span><span class="attribute">#[must_use]
     </span><span class="kw">pub fn </span>with_boost_factor(<span class="kw-2">mut </span><span class="self">self</span>, value: f32) -&gt; <span class="self">Self </span>{
         <span class="self">self</span>.mlt.boost_factor = <span class="prelude-val">Some</span>(value);
         <span class="self">self
     </span>}

     <span class="doccomment">/// Sets the set of stop words
     ///
     /// The resulting query will ignore these set of words.
     </span><span class="attribute">#[must_use]
     </span><span class="kw">pub fn </span>with_stop_words(<span class="kw-2">mut </span><span class="self">self</span>, value: Vec&lt;String&gt;) -&gt; <span class="self">Self </span>{
         <span class="self">self</span>.mlt.stop_words = value;
         <span class="self">self
     </span>}

     <span class="doccomment">/// Sets the document address
     /// Returns the constructed [`MoreLikeThisQuery`]
     ///
     /// This document will be used to collect field values, extract frequent terms
     /// needed for composing the query.
     ///
     /// Note that field values will only be collected from stored fields in the index.
     /// You can construct your own field values from any source.
     </span><span class="kw">pub fn </span>with_document(<span class="self">self</span>, doc_address: DocAddress) -&gt; MoreLikeThisQuery {
         MoreLikeThisQuery {
             mlt: <span class="self">self</span>.mlt,
             target: TargetDocument::DocumentAdress(doc_address),
         }
     }

     <span class="doccomment">/// Sets the document fields
     /// Returns the constructed [`MoreLikeThisQuery`]
     ///
     /// This represents the list field values possibly collected from multiple documents
     /// that will be used to compose the resulting query.
     /// This interface is meant to be used when you want to provide your own set of fields
     /// not necessarily from a specific document.
     </span><span class="kw">pub fn </span>with_document_fields(<span class="self">self</span>, doc_fields: Vec&lt;(Field, Vec&lt;Value&gt;)&gt;) -&gt; MoreLikeThisQuery {
         MoreLikeThisQuery {
             mlt: <span class="self">self</span>.mlt,
             target: TargetDocument::DocumentFields(doc_fields),
         }
     }
 }

 <span class="attribute">#[cfg(test)]
 </span><span class="kw">mod </span>tests {
     <span class="kw">use super</span>::{MoreLikeThisQuery, TargetDocument};
     <span class="kw">use </span><span class="kw">crate</span>::collector::TopDocs;
     <span class="kw">use </span><span class="kw">crate</span>::schema::{Schema, STORED, TEXT};
     <span class="kw">use crate</span>::{DocAddress, Index};

     <span class="kw">fn </span>create_test_index() -&gt; <span class="kw">crate</span>::Result&lt;Index&gt; {
         <span class="kw">let </span><span class="kw-2">mut </span>schema_builder = Schema::builder();
         <span class="kw">let </span>title = schema_builder.add_text_field(<span class="string">&quot;title&quot;</span>, TEXT);
         <span class="kw">let </span>body = schema_builder.add_text_field(<span class="string">&quot;body&quot;</span>, TEXT | STORED);
         <span class="kw">let </span>schema = schema_builder.build();
         <span class="kw">let </span>index = Index::create_in_ram(schema);
         <span class="kw">let </span><span class="kw-2">mut </span>index_writer = index.writer_for_tests().unwrap();
         index_writer.add_document(<span class="macro">doc!</span>(title =&gt; <span class="string">&quot;aaa&quot;</span>, body =&gt; <span class="string">&quot;the old man and the sea&quot;</span>))<span class="question-mark">?</span>;
         index_writer.add_document(<span class="macro">doc!</span>(title =&gt; <span class="string">&quot;bbb&quot;</span>, body =&gt; <span class="string">&quot;an old man sailing on the sea&quot;</span>))<span class="question-mark">?</span>;
         index_writer.add_document(<span class="macro">doc!</span>(title =&gt; <span class="string">&quot;ccc&quot;</span>, body=&gt; <span class="string">&quot;send this message to alice&quot;</span>))<span class="question-mark">?</span>;
         index_writer.add_document(<span class="macro">doc!</span>(title =&gt; <span class="string">&quot;ddd&quot;</span>, body=&gt; <span class="string">&quot;a lady was riding and old bike&quot;</span>))<span class="question-mark">?</span>;
         index_writer.add_document(<span class="macro">doc!</span>(title =&gt; <span class="string">&quot;eee&quot;</span>, body=&gt; <span class="string">&quot;Yes, my lady.&quot;</span>))<span class="question-mark">?</span>;
         index_writer.commit()<span class="question-mark">?</span>;
         <span class="prelude-val">Ok</span>(index)
     }

     <span class="attribute">#[test]
     </span><span class="kw">fn </span>test_more_like_this_query_builder() {
         <span class="comment">// default settings
         </span><span class="kw">let </span>query = MoreLikeThisQuery::builder().with_document_fields(<span class="macro">vec!</span>[]);

         <span class="macro">assert_eq!</span>(query.mlt.min_doc_frequency, <span class="prelude-val">Some</span>(<span class="number">5</span>));
         <span class="macro">assert_eq!</span>(query.mlt.max_doc_frequency, <span class="prelude-val">None</span>);
         <span class="macro">assert_eq!</span>(query.mlt.min_term_frequency, <span class="prelude-val">Some</span>(<span class="number">2</span>));
         <span class="macro">assert_eq!</span>(query.mlt.max_query_terms, <span class="prelude-val">Some</span>(<span class="number">25</span>));
         <span class="macro">assert_eq!</span>(query.mlt.min_word_length, <span class="prelude-val">None</span>);
         <span class="macro">assert_eq!</span>(query.mlt.max_word_length, <span class="prelude-val">None</span>);
         <span class="macro">assert_eq!</span>(query.mlt.boost_factor, <span class="prelude-val">Some</span>(<span class="number">1.0</span>));
         <span class="macro">assert_eq!</span>(query.mlt.stop_words, Vec::&lt;String&gt;::new());
         <span class="macro">assert_eq!</span>(query.target, TargetDocument::DocumentFields(<span class="macro">vec!</span>[]));

         <span class="comment">// custom settings
         </span><span class="kw">let </span>query = MoreLikeThisQuery::builder()
             .with_min_doc_frequency(<span class="number">2</span>)
             .with_max_doc_frequency(<span class="number">5</span>)
             .with_min_term_frequency(<span class="number">2</span>)
             .with_min_word_length(<span class="number">2</span>)
             .with_max_word_length(<span class="number">4</span>)
             .with_boost_factor(<span class="number">0.5</span>)
             .with_stop_words(<span class="macro">vec!</span>[<span class="string">&quot;all&quot;</span>.to_string(), <span class="string">&quot;for&quot;</span>.to_string()])
             .with_document(DocAddress::new(<span class="number">1</span>, <span class="number">2</span>));

         <span class="macro">assert_eq!</span>(query.mlt.min_doc_frequency, <span class="prelude-val">Some</span>(<span class="number">2</span>));
         <span class="macro">assert_eq!</span>(query.mlt.max_doc_frequency, <span class="prelude-val">Some</span>(<span class="number">5</span>));
         <span class="macro">assert_eq!</span>(query.mlt.min_term_frequency, <span class="prelude-val">Some</span>(<span class="number">2</span>));
         <span class="macro">assert_eq!</span>(query.mlt.min_word_length, <span class="prelude-val">Some</span>(<span class="number">2</span>));
         <span class="macro">assert_eq!</span>(query.mlt.max_word_length, <span class="prelude-val">Some</span>(<span class="number">4</span>));
         <span class="macro">assert_eq!</span>(query.mlt.boost_factor, <span class="prelude-val">Some</span>(<span class="number">0.5</span>));
         <span class="macro">assert_eq!</span>(
             query.mlt.stop_words,
             <span class="macro">vec!</span>[<span class="string">&quot;all&quot;</span>.to_string(), <span class="string">&quot;for&quot;</span>.to_string()]
         );
         <span class="macro">assert_eq!</span>(
             query.target,
             TargetDocument::DocumentAdress(DocAddress::new(<span class="number">1</span>, <span class="number">2</span>))
         );
     }

     <span class="attribute">#[test]
     </span><span class="kw">fn </span>test_more_like_this_query() -&gt; <span class="kw">crate</span>::Result&lt;()&gt; {
         <span class="kw">let </span>index = create_test_index()<span class="question-mark">?</span>;
         <span class="kw">let </span>reader = index.reader()<span class="question-mark">?</span>;
         <span class="kw">let </span>searcher = reader.searcher();

         <span class="comment">// search base 1st doc with words [sea, and] skipping [old]
         </span><span class="kw">let </span>query = MoreLikeThisQuery::builder()
             .with_min_doc_frequency(<span class="number">1</span>)
             .with_max_doc_frequency(<span class="number">10</span>)
             .with_min_term_frequency(<span class="number">1</span>)
             .with_min_word_length(<span class="number">2</span>)
             .with_max_word_length(<span class="number">5</span>)
             .with_boost_factor(<span class="number">1.0</span>)
             .with_stop_words(<span class="macro">vec!</span>[<span class="string">&quot;old&quot;</span>.to_string()])
             .with_document(DocAddress::new(<span class="number">0</span>, <span class="number">0</span>));
         <span class="kw">let </span>top_docs = searcher.search(<span class="kw-2">&amp;</span>query, <span class="kw-2">&amp;</span>TopDocs::with_limit(<span class="number">5</span>))<span class="question-mark">?</span>;
         <span class="kw">let </span><span class="kw-2">mut </span>doc_ids: Vec&lt;<span class="kw">_</span>&gt; = top_docs.iter().map(|item| item.<span class="number">1</span>.doc_id).collect();
         doc_ids.sort_unstable();

         <span class="macro">assert_eq!</span>(doc_ids.len(), <span class="number">3</span>);
         <span class="macro">assert_eq!</span>(doc_ids, <span class="macro">vec!</span>[<span class="number">0</span>, <span class="number">1</span>, <span class="number">3</span>]);

         <span class="comment">// search base 5th doc with words [lady]
         </span><span class="kw">let </span>query = MoreLikeThisQuery::builder()
             .with_min_doc_frequency(<span class="number">1</span>)
             .with_max_doc_frequency(<span class="number">10</span>)
             .with_min_term_frequency(<span class="number">1</span>)
             .with_min_word_length(<span class="number">2</span>)
             .with_max_word_length(<span class="number">5</span>)
             .with_boost_factor(<span class="number">1.0</span>)
             .with_document(DocAddress::new(<span class="number">0</span>, <span class="number">4</span>));
         <span class="kw">let </span>top_docs = searcher.search(<span class="kw-2">&amp;</span>query, <span class="kw-2">&amp;</span>TopDocs::with_limit(<span class="number">5</span>))<span class="question-mark">?</span>;
         <span class="kw">let </span><span class="kw-2">mut </span>doc_ids: Vec&lt;<span class="kw">_</span>&gt; = top_docs.iter().map(|item| item.<span class="number">1</span>.doc_id).collect();
         doc_ids.sort_unstable();

         <span class="macro">assert_eq!</span>(doc_ids.len(), <span class="number">2</span>);
         <span class="macro">assert_eq!</span>(doc_ids, <span class="macro">vec!</span>[<span class="number">3</span>, <span class="number">4</span>]);
         <span class="prelude-val">Ok</span>(())
     }
 }
 </code></pre></div>
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