DATAMONGO-1553 - Add $sortByCount aggregation stage.

Original pull request: #519.
This commit is contained in:
Jérome GUYON
2017-11-29 17:29:06 +01:00
committed by Mark Paluch
parent 5cca849ecb
commit 7123f844cb
4 changed files with 123 additions and 0 deletions

View File

@@ -47,6 +47,7 @@ import org.springframework.util.Assert;
* @author Christoph Strobl
* @author Nikolay Bogdanov
* @author Gustavo de Geus
* @author Jérôme Guyon
* @since 1.3
*/
public class Aggregation {
@@ -480,6 +481,26 @@ public class Aggregation {
return new BucketAutoOperation(groupByExpression, buckets);
}
/**
* Creates a new {@link SortByCountOperation} given {@literal groupByField}
*
* @param groupByField must not be {@literal null} or empty.
* @return
*/
public static SortByCountOperation sortByCount(String groupByField) {
return new SortByCountOperation(field(groupByField));
}
/**
* Creates a new {@link SortByCountOperation} given {@link AggregationExpression group-by expression}.
*
* @param groupByExpression must not be {@literal null}.
* @return
*/
public static SortByCountOperation sortByCount(AggregationExpression groupByExpression) {
return new SortByCountOperation(groupByExpression);
}
/**
* Creates a new {@link FacetOperation}.
*

View File

@@ -0,0 +1,72 @@
/*
* Copyright 2017 the original author or authors.
*
* Licensed 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.springframework.data.mongodb.core.aggregation;
import org.bson.Document;
import org.springframework.util.Assert;
/**
* Encapsulates the aggregation framework {@code $sortByCount}-operation. <br />
*
* SortByCount stage is typically used with {@link Aggregation} and {@code $facet}. Groups incoming documents
* based on the value of a specified expression, then computes the count of documents in each distinct group. <br />
*
* We recommend to use the static factory method {@link Aggregation#sortByCount(String)} instead of creating instances
* of this class directly.
*
* @see <a href="https://docs.mongodb.com/manual/reference/operator/aggregation/sortByCount/">https://docs.mongodb.com/manual/reference/operator/aggregation/sortByCount/</a>
* @author Jérôme GUYON
*/
public class SortByCountOperation implements AggregationOperation {
private final Field groupByField;
private final AggregationExpression groupByExpression;
/**
* Creates a new {@link SortByCountOperation} given a {@link Field group-by field}.
*
* @param groupByField must not be {@literal null}.
*/
public SortByCountOperation(Field groupByField) {
Assert.notNull(groupByField, "Group by field must not be null!");
this.groupByField = groupByField;
this.groupByExpression = null;
}
/**
* Creates a new {@link SortByCountOperation} given a {@link AggregationExpression group-by expression}.
*
* @param groupByExpression must not be {@literal null}.
*/
public SortByCountOperation(AggregationExpression groupByExpression) {
Assert.notNull(groupByExpression, "Group by AggregationExpression must not be null!");
this.groupByExpression = groupByExpression;
this.groupByField = null;
}
@Override
public Document toDocument(AggregationOperationContext context) {
return new Document("$sortByCount",
groupByExpression == null ? context.getReference(groupByField).toString()
: groupByExpression.toDocument(context)
);
}
}

View File

@@ -28,6 +28,7 @@ import org.bson.Document;
* Unit tests for {@link FacetOperation}.
*
* @author Mark Paluch
* @author Jérôme Guyon
* @soundtrack Stanley Foort - You Make Me Believe In Magic (Extended Mix)
*/
public class FacetOperationUnitTests {
@@ -101,4 +102,17 @@ public class FacetOperationUnitTests {
+ "{ $bucketAuto: { buckets: 5, groupBy: \"$price\", "
+ "output: { titles: { $push: \"$name\" } } } } ] } }")));
}
@Test // DATAMONGO-1553
public void shouldRenderSortByCountCorrectly() {
FacetOperation facetOperation = new FacetOperation()
.and(sortByCount("country"))
.as("categorizedByCountry");
Document agg = facetOperation.toDocument(Aggregation.DEFAULT_CONTEXT);
assertThat(agg,
is(Document.parse("{ $facet: { categorizedByCountry: [{ $sortByCount: \"$country\" } ] } }")));
}
}

View File

@@ -1914,6 +1914,19 @@ More examples for project operations can be found in the `AggregationTests` clas
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.
==== SortByCount
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.
.SortByCount operation example
====
[source,java]
----
// will generate { $sortByCount: "$country" }
sortByCount("country");
----
====
==== Buckets
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.
@@ -1975,6 +1988,9 @@ Sub-pipelines can project and filter input documents prior grouping. Common case
// will generate {$facet: {categorizedByPrice: [ { $match: { price: {$exists : true}}}, { $bucketAuto: {groupBy: $price, buckets: 5}}]}}
facet(match(Criteria.where("price").exists(true)), bucketAuto("price", 5)).as("categorizedByPrice"))
// will generate {$facet: {categorizedByCountry: [ { $match: { country: {$exists : true}}}, { $sortByCount: "$country"}]}}
facet(match(Criteria.where("country").exists(true)), sortByCount("country")).as("categorizedByCountry"))
// will generate {$facet: {categorizedByYear: [
// { $project: { title: 1, publicationYear: { $year: "publicationDate"}}},
// { $bucketAuto: {groupBy: $price, buckets: 5, output: { titles: {$push:"$title"}}}