DATAMONGO-1553 - Add $sortByCount aggregation stage.
Original pull request: #519.
This commit is contained in:
committed by
Mark Paluch
parent
5cca849ecb
commit
7123f844cb
@@ -47,6 +47,7 @@ import org.springframework.util.Assert;
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* @author Christoph Strobl
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* @author Nikolay Bogdanov
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* @author Gustavo de Geus
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* @author Jérôme Guyon
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* @since 1.3
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*/
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public class Aggregation {
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@@ -480,6 +481,26 @@ public class Aggregation {
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return new BucketAutoOperation(groupByExpression, buckets);
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}
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/**
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* Creates a new {@link SortByCountOperation} given {@literal groupByField}
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*
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* @param groupByField must not be {@literal null} or empty.
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* @return
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*/
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public static SortByCountOperation sortByCount(String groupByField) {
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return new SortByCountOperation(field(groupByField));
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}
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/**
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* Creates a new {@link SortByCountOperation} given {@link AggregationExpression group-by expression}.
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*
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* @param groupByExpression must not be {@literal null}.
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* @return
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*/
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public static SortByCountOperation sortByCount(AggregationExpression groupByExpression) {
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return new SortByCountOperation(groupByExpression);
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}
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/**
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* Creates a new {@link FacetOperation}.
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*
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@@ -0,0 +1,72 @@
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/*
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* Copyright 2017 the original author or authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.springframework.data.mongodb.core.aggregation;
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import org.bson.Document;
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import org.springframework.util.Assert;
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/**
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* Encapsulates the aggregation framework {@code $sortByCount}-operation. <br />
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*
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* SortByCount stage is typically used with {@link Aggregation} and {@code $facet}. Groups incoming documents
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* based on the value of a specified expression, then computes the count of documents in each distinct group. <br />
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*
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* We recommend to use the static factory method {@link Aggregation#sortByCount(String)} instead of creating instances
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* of this class directly.
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*
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* @see <a href="https://docs.mongodb.com/manual/reference/operator/aggregation/sortByCount/">https://docs.mongodb.com/manual/reference/operator/aggregation/sortByCount/</a>
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* @author Jérôme GUYON
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*/
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public class SortByCountOperation implements AggregationOperation {
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private final Field groupByField;
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private final AggregationExpression groupByExpression;
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/**
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* Creates a new {@link SortByCountOperation} given a {@link Field group-by field}.
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*
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* @param groupByField must not be {@literal null}.
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*/
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public SortByCountOperation(Field groupByField) {
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Assert.notNull(groupByField, "Group by field must not be null!");
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this.groupByField = groupByField;
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this.groupByExpression = null;
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}
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/**
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* Creates a new {@link SortByCountOperation} given a {@link AggregationExpression group-by expression}.
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*
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* @param groupByExpression must not be {@literal null}.
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*/
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public SortByCountOperation(AggregationExpression groupByExpression) {
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Assert.notNull(groupByExpression, "Group by AggregationExpression must not be null!");
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this.groupByExpression = groupByExpression;
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this.groupByField = null;
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}
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@Override
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public Document toDocument(AggregationOperationContext context) {
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return new Document("$sortByCount",
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groupByExpression == null ? context.getReference(groupByField).toString()
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: groupByExpression.toDocument(context)
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);
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}
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}
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@@ -28,6 +28,7 @@ import org.bson.Document;
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* Unit tests for {@link FacetOperation}.
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*
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* @author Mark Paluch
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* @author Jérôme Guyon
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* @soundtrack Stanley Foort - You Make Me Believe In Magic (Extended Mix)
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*/
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public class FacetOperationUnitTests {
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@@ -101,4 +102,17 @@ public class FacetOperationUnitTests {
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+ "{ $bucketAuto: { buckets: 5, groupBy: \"$price\", "
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+ "output: { titles: { $push: \"$name\" } } } } ] } }")));
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}
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@Test // DATAMONGO-1553
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public void shouldRenderSortByCountCorrectly() {
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FacetOperation facetOperation = new FacetOperation()
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.and(sortByCount("country"))
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.as("categorizedByCountry");
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Document agg = facetOperation.toDocument(Aggregation.DEFAULT_CONTEXT);
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assertThat(agg,
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is(Document.parse("{ $facet: { categorizedByCountry: [{ $sortByCount: \"$country\" } ] } }")));
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}
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}
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@@ -1914,6 +1914,19 @@ More examples for project operations can be found in the `AggregationTests` clas
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MongoDB supports as of Version 3.4 faceted classification using the Aggregation Framework. A faceted classification uses semantic categories, either general or subject-specific, that are combined to create the full classification entry. Documents flowing through the aggregation pipeline are classificated into buckets. A multi-faceted classification enables various aggregations on the same set of input documents, without needing to retrieve the input documents multiple times.
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==== SortByCount
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SortByCount operations groups incoming documents based on the value of a specified expression, then computes the count of documents in each distinct group. SortVyCount operations require a grouping field or grouping expression. They can be defined via the `sortByCount()` methods of the `Aggregate` class.
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.SortByCount operation example
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====
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[source,java]
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----
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// will generate { $sortByCount: "$country" }
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sortByCount("country");
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----
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====
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==== Buckets
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Bucket operations categorize incoming documents into groups, called buckets, based on a specified expression and bucket boundaries. Bucket operations require a grouping field or grouping expression. They can be defined via the `bucket()`/`bucketAuto()` methods of the `Aggregate` class. `BucketOperation` and `BucketAutoOperation` can expose accumulations based on aggregation expressions for input documents. The bucket operation can be extended with additional parameters through a fluent API via the `with…()` methods, the `andOutput(String)` method and aliased via the `as(String)` method. Each bucket is represented as a document in the output.
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@@ -1975,6 +1988,9 @@ Sub-pipelines can project and filter input documents prior grouping. Common case
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// will generate {$facet: {categorizedByPrice: [ { $match: { price: {$exists : true}}}, { $bucketAuto: {groupBy: $price, buckets: 5}}]}}
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facet(match(Criteria.where("price").exists(true)), bucketAuto("price", 5)).as("categorizedByPrice"))
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// will generate {$facet: {categorizedByCountry: [ { $match: { country: {$exists : true}}}, { $sortByCount: "$country"}]}}
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facet(match(Criteria.where("country").exists(true)), sortByCount("country")).as("categorizedByCountry"))
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// will generate {$facet: {categorizedByYear: [
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// { $project: { title: 1, publicationYear: { $year: "publicationDate"}}},
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// { $bucketAuto: {groupBy: $price, buckets: 5, output: { titles: {$push:"$title"}}}
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