Add a `feature_vector` field. (#31102)

This field is similar to the `feature` field but is better suited to index
sparse feature vectors. A use-case for this field could be to record topics
associated with every documents alongside a metric that quantifies how well
the topic is connected to this document, and then boost queries based on the
topics that the logged user is interested in.

Relates #27552

docs/reference/mapping/types.asciidoc

@@ -42,6 +42,8 @@ string::        <<text,`text`>> and <<keyword,`keyword`>>
 
 <<feature>>::       Record numeric features to boost hits at query time.
 
+<<feature-vector>>:: Record numeric feature vectors to boost hits at query time.
+
 [float]
 === Multi-fields
 
@@ -90,4 +92,4 @@ include::types/parent-join.asciidoc[]
 
 include::types/feature.asciidoc[]
 
-
+include::types/feature-vector.asciidoc[]

docs/reference/mapping/types/feature-vector.asciidoc

@@ -0,0 +1,64 @@
+[[feature-vector]]
+=== Feature vector datatype
+
+A `feature_vector` field can index numeric feature vectors, so that they can
+later be used to boost documents in queries with a
+<<query-dsl-feature-query,`feature`>> query.
+
+It is analogous to the <<feature,`feature`>> datatype but is better suited
+when the list of features is sparse so that it wouldn't be reasonable to add
+one field to the mappings for each of them.
+
+[source,js]
+--------------------------------------------------
+PUT my_index
+{
+  "mappings": {
+    "_doc": {
+      "properties": {
+        "topics": {
+          "type": "feature_vector" <1>
+        }
+      }
+    }
+  }
+}
+
+PUT my_index/_doc/1
+{
+  "topics": { <2>
+    "politics": 20,
+    "economics": 50.8
+  }
+}
+
+PUT my_index/_doc/2
+{
+  "topics": {
+    "politics": 5.2,
+    "sports": 80.1
+  }
+}
+
+GET my_index/_search
+{
+  "query": {
+    "feature": {
+      "field": "topics.politics"
+    }
+  }
+}
+--------------------------------------------------
+// CONSOLE
+<1> Feature vector fields must use the `feature_vector` field type
+<2> Feature vector fields must be a hash with string keys and strictly positive numeric values
+
+NOTE: `feature_vector` fields only support single-valued features and strictly
+positive values. Multi-valued fields and zero or negative values will be rejected.
+
+NOTE: `feature_vector` fields do not support sorting or aggregating and may 
+only be queried using <<query-dsl-feature-query,`feature`>> queries.
+
+NOTE: `feature_vector` fields only preserve 9 significant bits for the
+precision, which translates to a relative error of about 0.4%.
+

docs/reference/query-dsl/feature-query.asciidoc

@@ -2,9 +2,10 @@
 === Feature Query
 
 The `feature` query is a specialized query that only works on
-<<feature,`feature`>> fields. Its goal is to boost the score of documents based
-on the values of numeric features. It is typically put in a `should` clause of
-a <<query-dsl-bool-query,`bool`>> query so that its score is added to the score
+<<feature,`feature`>> fields and <<feature-vector,`feature_vector`>> fields.
+Its goal is to boost the score of documents based on the values of numeric
+features. It is typically put in a `should` clause of a
+<<query-dsl-bool-query,`bool`>> query so that its score is added to the score
 of the query.
 
 Compared to using <<query-dsl-function-score-query,`function_score`>> or other
@@ -13,7 +14,16 @@ efficiently skip non-competitive hits when
 <<search-uri-request,`track_total_hits`>> is set to `false`. Speedups may be
 spectacular.
 
-Here is an example:
+Here is an example that indexes various features:
+ - https://en.wikipedia.org/wiki/PageRank[`pagerank`], a measure of the
+   importance of a website,
+ - `url_length`, the length of the url, which typically correlates negatively
+   with relevance,
+ - `topics`, which associates a list of topics with every document alongside a
+   measure of how well the document is connected to this topic.
+
+Then the example includes an example query that searches for `"2016"` and boosts
+based or `pagerank`, `url_length` and the `sports` topic.
 
 [source,js]
 --------------------------------------------------
@@ -28,6 +38,9 @@ PUT test
         "url_length": {
           "type": "feature",
           "positive_score_impact": false
+        },
+        "topics": {
+          "type": "feature_vector"
         }
       }
     }
@@ -36,32 +49,73 @@ PUT test
 
 PUT test/_doc/1
 {
-  "pagerank": 10,
-  "url_length": 50
+  "url": "http://en.wikipedia.org/wiki/2016_Summer_Olympics",
+  "content": "Rio 2016",
+  "pagerank": 50.3,
+  "url_length": 42,
+  "topics": {
+    "sports": 50,
+    "brazil": 30
+  }
 }
 
 PUT test/_doc/2
 {
-  "pagerank": 100,
-  "url_length": 20
+  "url": "http://en.wikipedia.org/wiki/2016_Brazilian_Grand_Prix",
+  "content": "Formula One motor race held on 13 November 2016 at the Autódromo José Carlos Pace in São Paulo, Brazil",
+  "pagerank": 50.3,
+  "url_length": 47,
+  "topics": {
+    "sports": 35,
+    "formula one": 65,
+    "brazil": 20
+  }
 }
 
-POST test/_refresh
-
-GET test/_search
+PUT test/_doc/3
 {
-  "query": {
-    "feature": {
-      "field": "pagerank"
-    }
+  "url": "http://en.wikipedia.org/wiki/Deadpool_(film)",
+  "content": "Deadpool is a 2016 American superhero film",
+  "pagerank": 50.3,
+  "url_length": 37,
+  "topics": {
+    "movies": 60,
+    "super hero": 65
   }
 }
 
-GET test/_search
+POST test/_refresh
+
+GET test/_search 
 {
   "query": {
-    "feature": {
-      "field": "url_length"
+    "bool": {
+      "must": [
+        {
+          "match": {
+            "content": "2016"
+          }
+        }
+      ],
+      "should": [
+        {
+          "feature": {
+            "field": "pagerank"
+          }
+        },
+        {
+          "feature": {
+            "field": "url_length",
+            "boost": 0.1
+          }
+        },
+        {
+          "feature": {
+            "field": "topics.sports",
+            "boost": 0.4
+          }
+        }
+      ]
     }
   }
 }

modules/mapper-extras/src/main/java/org/elasticsearch/index/mapper/FeatureFieldMapper.java

@@ -165,8 +165,7 @@ public class FeatureFieldMapper extends FieldMapper {
 
         @Override
         public IndexFieldData.Builder fielddataBuilder(String fullyQualifiedIndexName) {
-            failIfNoDocValues();
-            return new DocValuesIndexFieldData.Builder();
+            throw new UnsupportedOperationException("[feature] fields do not support sorting, scripting or aggregating");
         }
 
         @Override
@@ -229,10 +228,6 @@ public class FeatureFieldMapper extends FieldMapper {
     protected void doXContentBody(XContentBuilder builder, boolean includeDefaults, Params params) throws IOException {
         super.doXContentBody(builder, includeDefaults, params);
 
-        if (includeDefaults || fieldType().nullValue() != null) {
-            builder.field("null_value", fieldType().nullValue());
-        }
-
         if (includeDefaults || fieldType().positiveScoreImpact() == false) {
             builder.field("positive_score_impact", fieldType().positiveScoreImpact());
         }

modules/mapper-extras/src/main/java/org/elasticsearch/index/mapper/FeatureVectorFieldMapper.java

@@ -0,0 +1,182 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch licenses this file to you under
+ * the Apache License, Version 2.0 (the "License"); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.elasticsearch.index.mapper;
+
+import org.apache.lucene.document.FeatureField;
+import org.apache.lucene.index.IndexOptions;
+import org.apache.lucene.index.IndexableField;
+import org.apache.lucene.index.Term;
+import org.apache.lucene.search.Query;
+import org.apache.lucene.search.TermQuery;
+import org.elasticsearch.common.lucene.Lucene;
+import org.elasticsearch.common.settings.Settings;
+import org.elasticsearch.common.xcontent.XContentParser.Token;
+import org.elasticsearch.index.fielddata.IndexFieldData;
+import org.elasticsearch.index.query.QueryShardContext;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * A {@link FieldMapper} that exposes Lucene's {@link FeatureField} as a sparse
+ * vector of features.
+ */
+public class FeatureVectorFieldMapper extends FieldMapper {
+
+    public static final String CONTENT_TYPE = "feature_vector";
+
+    public static class Defaults {
+        public static final MappedFieldType FIELD_TYPE = new FeatureVectorFieldType();
+
+        static {
+            FIELD_TYPE.setTokenized(false);
+            FIELD_TYPE.setIndexOptions(IndexOptions.NONE);
+            FIELD_TYPE.setHasDocValues(false);
+            FIELD_TYPE.setOmitNorms(true);
+            FIELD_TYPE.freeze();
+        }
+    }
+
+    public static class Builder extends FieldMapper.Builder<Builder, FeatureVectorFieldMapper> {
+
+        public Builder(String name) {
+            super(name, Defaults.FIELD_TYPE, Defaults.FIELD_TYPE);
+            builder = this;
+        }
+
+        @Override
+        public FeatureVectorFieldType fieldType() {
+            return (FeatureVectorFieldType) super.fieldType();
+        }
+
+        @Override
+        public FeatureVectorFieldMapper build(BuilderContext context) {
+            setupFieldType(context);
+            return new FeatureVectorFieldMapper(
+                    name, fieldType, defaultFieldType,
+                    context.indexSettings(), multiFieldsBuilder.build(this, context), copyTo);
+        }
+    }
+
+    public static class TypeParser implements Mapper.TypeParser {
+        @Override
+        public Mapper.Builder<?,?> parse(String name, Map<String, Object> node, ParserContext parserContext) throws MapperParsingException {
+            FeatureVectorFieldMapper.Builder builder = new FeatureVectorFieldMapper.Builder(name);
+            return builder;
+        }
+    }
+
+    public static final class FeatureVectorFieldType extends MappedFieldType {
+
+        public FeatureVectorFieldType() {
+            setIndexAnalyzer(Lucene.KEYWORD_ANALYZER);
+            setSearchAnalyzer(Lucene.KEYWORD_ANALYZER);
+        }
+
+        protected FeatureVectorFieldType(FeatureVectorFieldType ref) {
+            super(ref);
+        }
+
+        public FeatureVectorFieldType clone() {
+            return new FeatureVectorFieldType(this);
+        }
+
+        @Override
+        public String typeName() {
+            return CONTENT_TYPE;
+        }
+
+        @Override
+        public Query existsQuery(QueryShardContext context) {
+            throw new UnsupportedOperationException("[feature_vector] fields do not support [exists] queries");
+        }
+
+        @Override
+        public IndexFieldData.Builder fielddataBuilder(String fullyQualifiedIndexName) {
+            throw new UnsupportedOperationException("[feature_vector] fields do not support sorting, scripting or aggregating");
+        }
+
+        @Override
+        public Query termQuery(Object value, QueryShardContext context) {
+            throw new UnsupportedOperationException("Queries on [feature_vector] fields are not supported");
+        }
+    }
+
+    private FeatureVectorFieldMapper(String simpleName, MappedFieldType fieldType, MappedFieldType defaultFieldType,
+                                Settings indexSettings, MultiFields multiFields, CopyTo copyTo) {
+        super(simpleName, fieldType, defaultFieldType, indexSettings, multiFields, copyTo);
+        assert fieldType.indexOptions().compareTo(IndexOptions.DOCS_AND_FREQS) <= 0;
+    }
+
+    @Override
+    protected FeatureVectorFieldMapper clone() {
+        return (FeatureVectorFieldMapper) super.clone();
+    }
+
+    @Override
+    public FeatureVectorFieldType fieldType() {
+        return (FeatureVectorFieldType) super.fieldType();
+    }
+
+    @Override
+    public FieldMapper parse(ParseContext context) throws IOException {
+        if (context.externalValueSet()) {
+            throw new IllegalArgumentException("[feature_vector] fields can't be used in multi-fields");
+        }
+
+        if (context.parser().currentToken() != Token.START_OBJECT) {
+            throw new IllegalArgumentException("[feature_vector] fields must be json objects, expected a START_OBJECT but got: " +
+                    context.parser().currentToken());
+        }
+
+        String feature = null;
+        for (Token token = context.parser().nextToken(); token != Token.END_OBJECT; token = context.parser().nextToken()) {
+            if (token == Token.FIELD_NAME) {
+                feature = context.parser().currentName();
+            } else if (token == Token.VALUE_NULL) {
+                // ignore feature, this is consistent with numeric fields
+            } else if (token == Token.VALUE_NUMBER || token == Token.VALUE_STRING) {
+                final String key = name() + "." + feature;
+                float value = context.parser().floatValue(true);
+                if (context.doc().getByKey(key) != null) {
+                    throw new IllegalArgumentException("[feature_vector] fields do not support indexing multiple values for the same " +
+                            "feature [" + key + "] in the same document");
+                }
+                context.doc().addWithKey(key, new FeatureField(name(), feature, value));
+            } else {
+                throw new IllegalArgumentException("[feature_vector] fields take hashes that map a feature to a strictly positive " +
+                        "float, but got unexpected token " + token);
+            }
+        }
+        return null; // no mapping update
+    }
+
+    @Override
+    protected void parseCreateField(ParseContext context, List<IndexableField> fields) throws IOException {
+        throw new AssertionError("parse is implemented directly");
+    }
+
+    @Override
+    protected String contentType() {
+        return CONTENT_TYPE;
+    }
+
+}

modules/mapper-extras/src/main/java/org/elasticsearch/index/mapper/MapperExtrasPlugin.java

@@ -38,6 +38,7 @@ public class MapperExtrasPlugin extends Plugin implements MapperPlugin, SearchPl
         mappers.put(ScaledFloatFieldMapper.CONTENT_TYPE, new ScaledFloatFieldMapper.TypeParser());
         mappers.put(TokenCountFieldMapper.CONTENT_TYPE, new TokenCountFieldMapper.TypeParser());
         mappers.put(FeatureFieldMapper.CONTENT_TYPE, new FeatureFieldMapper.TypeParser());
+        mappers.put(FeatureVectorFieldMapper.CONTENT_TYPE, new FeatureVectorFieldMapper.TypeParser());
         return Collections.unmodifiableMap(mappers);
     }
 

modules/mapper-extras/src/main/java/org/elasticsearch/index/query/FeatureQueryBuilder.java

@@ -28,6 +28,8 @@ import org.elasticsearch.common.io.stream.StreamOutput;
 import org.elasticsearch.common.xcontent.ConstructingObjectParser;
 import org.elasticsearch.common.xcontent.XContentBuilder;
 import org.elasticsearch.index.mapper.FeatureFieldMapper.FeatureFieldType;
+import org.elasticsearch.index.mapper.FeatureMetaFieldMapper;
+import org.elasticsearch.index.mapper.FeatureVectorFieldMapper.FeatureVectorFieldType;
 import org.elasticsearch.index.mapper.MappedFieldType;
 
 import java.io.IOException;
@@ -48,7 +50,7 @@ public final class FeatureQueryBuilder extends AbstractQueryBuilder<FeatureQuery
 
         abstract void writeTo(StreamOutput out) throws IOException;
 
-        abstract Query toQuery(String feature, boolean positiveScoreImpact) throws IOException;
+        abstract Query toQuery(String field, String feature, boolean positiveScoreImpact) throws IOException;
 
         abstract void doXContent(XContentBuilder builder) throws IOException;
 
@@ -102,12 +104,12 @@ public final class FeatureQueryBuilder extends AbstractQueryBuilder<FeatureQuery
             }
 
             @Override
-            Query toQuery(String feature, boolean positiveScoreImpact) throws IOException {
+            Query toQuery(String field, String feature, boolean positiveScoreImpact) throws IOException {
                 if (positiveScoreImpact == false) {
                     throw new IllegalArgumentException("Cannot use the [log] function with a field that has a negative score impact as " +
                             "it would trigger negative scores");
                 }
-                return FeatureField.newLogQuery("_feature", feature, DEFAULT_BOOST, scalingFactor);
+                return FeatureField.newLogQuery(field, feature, DEFAULT_BOOST, scalingFactor);
             }
         }
 
@@ -173,11 +175,11 @@ public final class FeatureQueryBuilder extends AbstractQueryBuilder<FeatureQuery
             }
 
             @Override
-            Query toQuery(String feature, boolean positiveScoreImpact) throws IOException {
+            Query toQuery(String field, String feature, boolean positiveScoreImpact) throws IOException {
                 if (pivot == null) {
-                    return FeatureField.newSaturationQuery("_feature", feature);
+                    return FeatureField.newSaturationQuery(field, feature);
                 } else {
-                    return FeatureField.newSaturationQuery("_feature", feature, DEFAULT_BOOST, pivot);
+                    return FeatureField.newSaturationQuery(field, feature, DEFAULT_BOOST, pivot);
                 }
             }
         }
@@ -238,8 +240,8 @@ public final class FeatureQueryBuilder extends AbstractQueryBuilder<FeatureQuery
             }
 
             @Override
-            Query toQuery(String feature, boolean positiveScoreImpact) throws IOException {
-                return FeatureField.newSigmoidQuery("_feature", feature, DEFAULT_BOOST, pivot, exp);
+            Query toQuery(String field, String feature, boolean positiveScoreImpact) throws IOException {
+                return FeatureField.newSigmoidQuery(field, feature, DEFAULT_BOOST, pivot, exp);
             }
         }
     }
@@ -331,14 +333,24 @@ public final class FeatureQueryBuilder extends AbstractQueryBuilder<FeatureQuery
     @Override
     protected Query doToQuery(QueryShardContext context) throws IOException {
         final MappedFieldType ft = context.fieldMapper(field);
-        if (ft == null) {
-            return new MatchNoDocsQuery();
-        }
-        if (ft instanceof FeatureFieldType == false) {
-            throw new IllegalArgumentException("[feature] query only works on [feature] fields, not [" + ft.typeName() + "]");
+
+        if (ft instanceof FeatureFieldType) {
+            final FeatureFieldType fft = (FeatureFieldType) ft;
+            return scoreFunction.toQuery(FeatureMetaFieldMapper.NAME, field, fft.positiveScoreImpact());
+        } else if (ft == null) {
+            final int lastDotIndex = field.lastIndexOf('.');
+            if (lastDotIndex != -1) {
+                final String parentField = field.substring(0, lastDotIndex);
+                final MappedFieldType parentFt = context.fieldMapper(parentField);
+                if (parentFt instanceof FeatureVectorFieldType) {
+                    return scoreFunction.toQuery(parentField, field.substring(lastDotIndex + 1), true);
+                }
+            }
+            return new MatchNoDocsQuery(); // unmapped field
+        } else {
+            throw new IllegalArgumentException("[feature] query only works on [feature] fields and features of [feature_vector] fields, " +
+                    "not [" + ft.typeName() + "]");
         }
-        final FeatureFieldType fft = (FeatureFieldType) ft;
-        return scoreFunction.toQuery(field, fft.positiveScoreImpact());
     }
 
     @Override

modules/mapper-extras/src/test/java/org/elasticsearch/index/mapper/FeatureFieldMapperTests.java

@@ -35,6 +35,7 @@ import org.hamcrest.Matchers;
 import org.junit.Before;
 
 import java.io.IOException;
+import java.util.Arrays;
 import java.util.Collection;
 
 public class FeatureFieldMapperTests extends ESSingleNodeTestCase {
@@ -53,7 +54,7 @@ public class FeatureFieldMapperTests extends ESSingleNodeTestCase {
         return pluginList(MapperExtrasPlugin.class);
     }
 
-    private static int getFrequency(TokenStream tk) throws IOException {
+    static int getFrequency(TokenStream tk) throws IOException {
         TermFrequencyAttribute freqAttribute = tk.addAttribute(TermFrequencyAttribute.class);
         tk.reset();
         assertTrue(tk.incrementToken());
@@ -143,7 +144,7 @@ public class FeatureFieldMapperTests extends ESSingleNodeTestCase {
 
         assertEquals(mapping, mapper.mappingSource().toString());
 
-        MapperParsingException e = null;/*expectThrows(MapperParsingException.class,
+        MapperParsingException e = expectThrows(MapperParsingException.class,
                 () -> mapper.parse(SourceToParse.source("test", "type", "1", BytesReference
                         .bytes(XContentFactory.jsonBuilder()
                                 .startObject()
@@ -151,7 +152,7 @@ public class FeatureFieldMapperTests extends ESSingleNodeTestCase {
                                 .endObject()),
                         XContentType.JSON)));
         assertEquals("[feature] fields do not support indexing multiple values for the same field [field] in the same document",
-                e.getCause().getMessage());*/
+                e.getCause().getMessage());
 
         e = expectThrows(MapperParsingException.class,
                 () -> mapper.parse(SourceToParse.source("test", "type", "1", BytesReference

modules/mapper-extras/src/test/java/org/elasticsearch/index/mapper/FeatureVectorFieldMapperTests.java

@@ -0,0 +1,130 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch licenses this file to you under
+ * the Apache License, Version 2.0 (the "License"); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.elasticsearch.index.mapper;
+
+import org.apache.lucene.document.FeatureField;
+import org.apache.lucene.index.IndexableField;
+import org.elasticsearch.common.Strings;
+import org.elasticsearch.common.bytes.BytesReference;
+import org.elasticsearch.common.compress.CompressedXContent;
+import org.elasticsearch.common.xcontent.XContentFactory;
+import org.elasticsearch.common.xcontent.XContentType;
+import org.elasticsearch.index.IndexService;
+import org.elasticsearch.plugins.Plugin;
+import org.elasticsearch.test.ESSingleNodeTestCase;
+import org.hamcrest.Matchers;
+import org.junit.Before;
+
+import java.io.IOException;
+import java.util.Arrays;
+import java.util.Collection;
+
+public class FeatureVectorFieldMapperTests extends ESSingleNodeTestCase {
+
+    IndexService indexService;
+    DocumentMapperParser parser;
+
+    @Before
+    public void setup() {
+        indexService = createIndex("test");
+        parser = indexService.mapperService().documentMapperParser();
+    }
+
+    @Override
+    protected Collection<Class<? extends Plugin>> getPlugins() {
+        return pluginList(MapperExtrasPlugin.class);
+    }
+
+    public void testDefaults() throws Exception {
+        String mapping = Strings.toString(XContentFactory.jsonBuilder().startObject().startObject("type")
+                .startObject("properties").startObject("field").field("type", "feature_vector").endObject().endObject()
+                .endObject().endObject());
+
+        DocumentMapper mapper = parser.parse("type", new CompressedXContent(mapping));
+
+        assertEquals(mapping, mapper.mappingSource().toString());
+
+        ParsedDocument doc1 = mapper.parse(SourceToParse.source("test", "type", "1", BytesReference
+                .bytes(XContentFactory.jsonBuilder()
+                        .startObject()
+                            .startObject("field")
+                                .field("foo", 10)
+                                .field("bar", 20)
+                             .endObject()
+                        .endObject()),
+                XContentType.JSON));
+
+        IndexableField[] fields = doc1.rootDoc().getFields("field");
+        assertEquals(2, fields.length);
+        assertThat(fields[0], Matchers.instanceOf(FeatureField.class));
+        FeatureField featureField1 = (FeatureField) fields[0];
+        assertThat(featureField1.stringValue(), Matchers.equalTo("foo"));
+        FeatureField featureField2 = (FeatureField) fields[1];
+        assertThat(featureField2.stringValue(), Matchers.equalTo("bar"));
+
+        int freq1 = FeatureFieldMapperTests.getFrequency(featureField1.tokenStream(null, null));
+        int freq2 = FeatureFieldMapperTests.getFrequency(featureField2.tokenStream(null, null));
+        assertTrue(freq1 < freq2);
+    }
+
+    public void testRejectMultiValuedFields() throws MapperParsingException, IOException {
+        String mapping = Strings.toString(XContentFactory.jsonBuilder().startObject().startObject("type")
+                .startObject("properties").startObject("field").field("type", "feature_vector").endObject().startObject("foo")
+                .startObject("properties").startObject("field").field("type", "feature_vector").endObject().endObject()
+                .endObject().endObject().endObject().endObject());
+
+        DocumentMapper mapper = parser.parse("type", new CompressedXContent(mapping));
+
+        assertEquals(mapping, mapper.mappingSource().toString());
+
+        MapperParsingException e = expectThrows(MapperParsingException.class,
+                () -> mapper.parse(SourceToParse.source("test", "type", "1", BytesReference
+                        .bytes(XContentFactory.jsonBuilder()
+                                .startObject()
+                                .startObject("field")
+                                    .field("foo", Arrays.asList(10, 20))
+                                 .endObject()
+                            .endObject()),
+                        XContentType.JSON)));
+        assertEquals("[feature_vector] fields take hashes that map a feature to a strictly positive float, but got unexpected token " +
+                "START_ARRAY", e.getCause().getMessage());
+
+        e = expectThrows(MapperParsingException.class,
+                () -> mapper.parse(SourceToParse.source("test", "type", "1", BytesReference
+                        .bytes(XContentFactory.jsonBuilder()
+                                .startObject()
+                                    .startArray("foo")
+                                        .startObject()
+                                            .startObject("field")
+                                                .field("bar", 10)
+                                            .endObject()
+                                        .endObject()
+                                        .startObject()
+                                            .startObject("field")
+                                                .field("bar", 20)
+                                            .endObject()
+                                        .endObject()
+                                    .endArray()
+                                .endObject()),
+                        XContentType.JSON)));
+        assertEquals("[feature_vector] fields do not support indexing multiple values for the same feature [foo.field.bar] in the same " +
+                "document", e.getCause().getMessage());
+    }
+}

modules/mapper-extras/src/test/java/org/elasticsearch/index/mapper/FeatureVectorFieldTypeTests.java

@@ -0,0 +1,29 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch licenses this file to you under
+ * the Apache License, Version 2.0 (the "License"); you may
+ * not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.elasticsearch.index.mapper;
+
+public class FeatureVectorFieldTypeTests extends FieldTypeTestCase {
+
+    @Override
+    protected MappedFieldType createDefaultFieldType() {
+        return new FeatureVectorFieldMapper.FeatureVectorFieldType();
+    }
+
+}

modules/mapper-extras/src/test/java/org/elasticsearch/index/query/FeatureQueryBuilderTests.java

@@ -33,8 +33,10 @@ import org.elasticsearch.search.internal.SearchContext;
 import org.elasticsearch.test.AbstractQueryTestCase;
 
 import java.io.IOException;
+import java.util.ArrayList;
 import java.util.Collection;
 import java.util.Collections;
+import java.util.List;
 
 import static org.hamcrest.CoreMatchers.instanceOf;
 import static org.hamcrest.Matchers.either;
@@ -46,7 +48,8 @@ public class FeatureQueryBuilderTests extends AbstractQueryTestCase<FeatureQuery
         for (String type : getCurrentTypes()) {
             mapperService.merge(type, new CompressedXContent(Strings.toString(PutMappingRequest.buildFromSimplifiedDef(type,
                     "my_feature_field", "type=feature",
-                    "my_negative_feature_field", "type=feature,positive_score_impact=false"))), MapperService.MergeReason.MAPPING_UPDATE);
+                    "my_negative_feature_field", "type=feature,positive_score_impact=false",
+                    "my_feature_vector_field", "type=feature_vector"))), MapperService.MergeReason.MAPPING_UPDATE);
         }
     }
 
@@ -58,8 +61,10 @@ public class FeatureQueryBuilderTests extends AbstractQueryTestCase<FeatureQuery
     @Override
     protected FeatureQueryBuilder doCreateTestQueryBuilder() {
         ScoreFunction function;
+        boolean mayUseNegativeField = true;
         switch (random().nextInt(3)) {
         case 0:
+            mayUseNegativeField = false;
             function = new ScoreFunction.Log(1 + randomFloat());
             break;
         case 1:
@@ -75,7 +80,16 @@ public class FeatureQueryBuilderTests extends AbstractQueryTestCase<FeatureQuery
         default:
             throw new AssertionError();
         }
-        return new FeatureQueryBuilder("my_feature_field", function);
+        List<String> fields = new ArrayList<>();
+        fields.add("my_feature_field");
+        fields.add("unmapped_field");
+        fields.add("my_feature_vector_field.feature");
+        if (mayUseNegativeField) {
+            fields.add("my_negative_feature_field");
+        }
+        
+        final String field = randomFrom(fields);
+        return new FeatureQueryBuilder(field, function);
     }
 
     @Override
@@ -103,7 +117,7 @@ public class FeatureQueryBuilderTests extends AbstractQueryTestCase<FeatureQuery
                 "    }\n" +
                 "}";
         IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> parseQuery(query).toQuery(createShardContext()));
-        assertEquals("[feature] query only works on [feature] fields, not [text]", e.getMessage());
+        assertEquals("[feature] query only works on [feature] fields and features of [feature_vector] fields, not [text]", e.getMessage());
     }
 
     public void testIllegalCombination() throws IOException {

modules/mapper-extras/src/test/resources/rest-api-spec/test/feature_vector/10_basic.yml

@@ -0,0 +1,103 @@
+setup:
+  - skip:
+      version: " - 6.99.99"
+      reason: "The feature_vector field was introduced in 7.0.0"
+
+  - do:
+      indices.create:
+          index: test
+          body:
+            settings:
+              number_of_replicas: 0
+            mappings:
+              _doc:
+                properties:
+                  tags:
+                     type: feature_vector
+
+  - do:
+      index:
+        index: test
+        type: _doc
+        id: 1
+        body:
+          tags:
+            foo: 3
+            bar: 5
+
+  - do:
+      index:
+        index: test
+        type: _doc
+        id: 2
+        body: 
+          tags:
+            bar: 6
+            quux: 10
+
+  - do:
+      indices.refresh: {}
+
+---
+"Log":
+
+  - do:
+      search:
+        body:
+          query:
+            feature:
+              field: tags.bar
+              log:
+                scaling_factor: 3
+
+  - match:
+      hits.total: 2
+
+  - match:
+      hits.hits.0._id: "2"
+
+  - match:
+      hits.hits.1._id: "1"
+
+---
+"Saturation":
+
+  - do:
+      search:
+        body:
+          query:
+            feature:
+              field: tags.bar
+              saturation:
+                pivot: 20
+
+  - match:
+      hits.total: 2
+
+  - match:
+      hits.hits.0._id: "2"
+
+  - match:
+      hits.hits.1._id: "1"
+
+---
+"Sigmoid":
+
+  - do:
+      search:
+        body:
+          query:
+            feature:
+              field: tags.bar
+              sigmoid:
+                pivot: 20
+                exponent: 0.6
+
+  - match:
+      hits.total: 2
+
+  - match:
+      hits.hits.0._id: "2"
+
+  - match:
+      hits.hits.1._id: "1"