DATAMONGO-1553 - Polishing.

Convert spaces to tabs. Reorder methods. Add tests, nullability annotations, author tags and slightly rearrange documentation. Migrate tests to AssertJ. Extend year range in license headers.

Original pull request: #519.
This commit is contained in:
Mark Paluch
2018-01-08 15:33:33 +01:00
parent 7123f844cb
commit 9a13a3fce4
5 changed files with 168 additions and 102 deletions

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@@ -1,5 +1,5 @@
/*
* Copyright 2013-2017 the original author or authors.
* Copyright 2013-2018 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.
@@ -358,6 +358,28 @@ public class Aggregation {
return new SortOperation(Sort.by(direction, fields));
}
/**
* Creates a new {@link SortByCountOperation} given {@literal groupByField}.
*
* @param field must not be {@literal null} or empty.
* @return
* @since 2.1
*/
public static SortByCountOperation sortByCount(String field) {
return new SortByCountOperation(field(field));
}
/**
* Creates a new {@link SortByCountOperation} given {@link AggregationExpression group and sort expression}.
*
* @param groupAndSortExpression must not be {@literal null}.
* @return
* @since 2.1
*/
public static SortByCountOperation sortByCount(AggregationExpression groupAndSortExpression) {
return new SortByCountOperation(groupAndSortExpression);
}
/**
* Creates a new {@link SkipOperation} skipping the given number of elements.
*
@@ -481,26 +503,6 @@ 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}.
*

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@@ -1,5 +1,5 @@
/*
* Copyright 2017 the original author or authors.
* Copyright 2017-2018 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.
@@ -16,57 +16,65 @@
package org.springframework.data.mongodb.core.aggregation;
import org.bson.Document;
import org.springframework.lang.Nullable;
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 />
*
* Encapsulates the aggregation framework {@code $sortByCount}-operation.
* <p/>
* {@code $sortByCount} stage is typically used with {@link Aggregation} and {@code $facet}. Groups incoming documents
* based on the value of a specified expression and computes the count of documents in each distinct group.
* {@link SortByCountOperation} is equivalent to {@code { $group: { _id: <expression>, count: { $sum: 1 } } }, { $sort:
* { count: -1 } }}.
* <p/>
* 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
* @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
* @author Mark Paluch
* @since 2.1
*/
public class SortByCountOperation implements AggregationOperation {
private final Field groupByField;
private final AggregationExpression groupByExpression;
private final @Nullable Field groupByField;
private final @Nullable 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) {
/**
* 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!");
Assert.notNull(groupByField, "Group by field must not be null!");
this.groupByField = groupByField;
this.groupByExpression = 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) {
/**
* 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 expression must not be null!");
Assert.notNull(groupByExpression, "Group by AggregationExpression must not be null!");
this.groupByExpression = groupByExpression;
this.groupByField = null;
}
this.groupByExpression = groupByExpression;
this.groupByField = null;
}
/*
* (non-Javadoc)
* @see org.springframework.data.mongodb.core.aggregation.AggregationOperation#toDocument(org.springframework.data.mongodb.core.aggregation.AggregationOperationContext)
*/
@Override
public Document toDocument(AggregationOperationContext context) {
@Override
public Document toDocument(AggregationOperationContext context) {
return new Document("$sortByCount",
groupByExpression == null ? context.getReference(groupByField).toString()
: groupByExpression.toDocument(context)
);
}
return new Document("$sortByCount", groupByExpression == null ? context.getReference(groupByField).toString()
: groupByExpression.toDocument(context));
}
}

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@@ -1,5 +1,5 @@
/*
* Copyright 2016-2017 the original author or authors.
* Copyright 2016-2018 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.
@@ -15,14 +15,14 @@
*/
package org.springframework.data.mongodb.core.aggregation;
import static org.hamcrest.MatcherAssert.*;
import static org.hamcrest.MatcherAssert.assertThat;
import static org.hamcrest.Matchers.*;
import static org.springframework.data.mongodb.core.aggregation.Aggregation.*;
import org.junit.Test;
import org.springframework.data.mongodb.core.query.Criteria;
import static org.springframework.data.mongodb.test.util.Assertions.assertThat;
import org.bson.Document;
import org.junit.Test;
import org.springframework.data.mongodb.core.query.Criteria;
/**
* Unit tests for {@link FacetOperation}.
@@ -34,29 +34,28 @@ import org.bson.Document;
public class FacetOperationUnitTests {
@Test // DATAMONGO-1552
public void shouldRenderCorrectly() throws Exception {
public void shouldRenderCorrectly() {
FacetOperation facetOperation = new FacetOperation()
.and(match(Criteria.where("price").exists(true)), //
bucket("price") //
.withBoundaries(0, 150, 200, 300, 400) //
.withDefaultBucket("Other") //
.andOutputCount().as("count") //
.andOutput("title").push().as("titles")) //
FacetOperation facetOperation = new FacetOperation().and(match(Criteria.where("price").exists(true)), //
bucket("price") //
.withBoundaries(0, 150, 200, 300, 400) //
.withDefaultBucket("Other") //
.andOutputCount().as("count") //
.andOutput("title").push().as("titles")) //
.as("categorizedByPrice") //
.and(bucketAuto("year", 5)).as("categorizedByYears");
Document agg = facetOperation.toDocument(Aggregation.DEFAULT_CONTEXT);
assertThat(agg,
is(Document.parse("{ $facet: { categorizedByPrice: [" + "{ $match: { price: { $exists: true } } }, "
assertThat(agg)
.isEqualTo(Document.parse("{ $facet: { categorizedByPrice: [" + "{ $match: { price: { $exists: true } } }, "
+ "{ $bucket: { boundaries: [ 0, 150, 200, 300, 400 ], groupBy: \"$price\", default: \"Other\", "
+ "output: { count: { $sum: 1 }, titles: { $push: \"$title\" } } } } ],"
+ "categorizedByYears: [ { $bucketAuto: { buckets: 5, groupBy: \"$year\" } } ] } }")));
+ "categorizedByYears: [ { $bucketAuto: { buckets: 5, groupBy: \"$year\" } } ] } }"));
}
@Test // DATAMONGO-1552
public void shouldRenderEmpty() throws Exception {
public void shouldRenderEmpty() {
FacetOperation facetOperation = facet();
@@ -66,7 +65,7 @@ public class FacetOperationUnitTests {
}
@Test(expected = IllegalArgumentException.class) // DATAMONGO-1552
public void shouldRejectNonExistingFields() throws Exception {
public void shouldRejectNonExistingFields() {
FacetOperation facetOperation = new FacetOperation()
.and(project("price"), //
@@ -79,11 +78,11 @@ public class FacetOperationUnitTests {
Document agg = facetOperation.toDocument(Aggregation.DEFAULT_CONTEXT);
assertThat(agg,
is(Document.parse("{ $facet: { categorizedByPrice: [" + "{ $match: { price: { $exists: true } } }, "
assertThat(agg)
.isEqualTo(Document.parse("{ $facet: { categorizedByPrice: [" + "{ $match: { price: { $exists: true } } }, "
+ "{ $bucket: {boundaries: [ 0, 150, 200, 300, 400 ], groupBy: \"$price\", default: \"Other\", "
+ "output: { count: { $sum: 1 }, titles: { $push: \"$title\" } } } } ],"
+ "categorizedByYears: [ { $bucketAuto: { buckets: 5, groupBy: \"$year\" } } ] } }")));
+ "categorizedByYears: [ { $bucketAuto: { buckets: 5, groupBy: \"$year\" } } ] } }"));
}
@Test // DATAMONGO-1552
@@ -97,22 +96,21 @@ public class FacetOperationUnitTests {
Document agg = facetOperation.toDocument(Aggregation.DEFAULT_CONTEXT);
assertThat(agg,
is(Document.parse("{ $facet: { categorizedByPrice: [" + "{ $project: { price: 1, name: \"$title\" } }, "
assertThat(agg).isEqualTo(Document.parse("{ $facet: { categorizedByPrice: ["
+ "{ $project: { price: 1, name: \"$title\" } }, "
+ "{ $bucketAuto: { buckets: 5, groupBy: \"$price\", "
+ "output: { titles: { $push: \"$name\" } } } } ] } }")));
+ "output: { titles: { $push: \"$name\" } } } } ] } }"));
}
@Test // DATAMONGO-1553
public void shouldRenderSortByCountCorrectly() {
FacetOperation facetOperation = new FacetOperation()
.and(sortByCount("country"))
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\" } ] } }")));
assertThat(agg).containsEntry("$facet.categorizedByCountry.[0].$sortByCount", "$country");
}
}

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@@ -0,0 +1,50 @@
/*
* Copyright 2018 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 static org.springframework.data.mongodb.core.aggregation.Aggregation.*;
import static org.springframework.data.mongodb.test.util.Assertions.*;
import java.util.Arrays;
import org.bson.Document;
import org.junit.Test;
/**
* Unit tests for {@link SortByCountOperation}.
*
* @author Mark Paluch
*/
public class SortByCountOperationUnitTests {
@Test // DATAMONGO-1553
public void shouldRenderFieldCorrectly() {
SortByCountOperation operation = sortByCount("country");
Document result = operation.toDocument(Aggregation.DEFAULT_CONTEXT);
assertThat(result).containsEntry("$sortByCount", "$country");
}
@Test // DATAMONGO-1553
public void shouldRenderExpressionCorrectly() {
SortByCountOperation operation = sortByCount(StringOperators.valueOf("foo").substring(5));
Document result = operation.toDocument(Aggregation.DEFAULT_CONTEXT);
assertThat(result).containsEntry("$sortByCount.$substr", Arrays.asList("$foo", 5, -1));
}
}

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@@ -1914,19 +1914,6 @@ 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.
@@ -1992,9 +1979,9 @@ facet(match(Criteria.where("price").exists(true)), bucketAuto("price", 5)).as("c
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"}}}
// ]}}
// { $project: { title: 1, publicationYear: { $year: "publicationDate"}}},
// { $bucketAuto: {groupBy: $price, buckets: 5, output: { titles: {$push:"$title"}}}
// ]}}
facet(project("title").and("publicationDate").extractYear().as("publicationYear"),
bucketAuto("publicationYear", 5).andOutput("title").push().as("titles"))
.as("categorizedByYear"))
@@ -2003,6 +1990,27 @@ facet(project("title").and("publicationDate").extractYear().as("publicationYear"
Note that further details regarding facet operation can be found in the http://docs.mongodb.org/manual/reference/operator/aggregation/facet/[`$facet` section] of the MongoDB Aggregation Framework reference documentation.
[[mongo.aggregation.sort-by-count]]
==== SortByCount
Sort by count operations group incoming documents based on the value of a specified expression, then compute the count of documents in each distinct group and sort the results by count. It's a handy shortcut to apply sorting for when using <<mongo.aggregation.facet>>. Sort by count operations require a grouping field or grouping expression.
.Sort by count example
====
[source,java]
----
// will generate { $sortByCount: "$country" }
sortByCount("country");
----
====
A sort by count operation is equivalent to the following BSON:
----
{ $group: { _id: <expression>, count: { $sum: 1 } } },
{ $sort: { count: -1 } }
----
[[mongo.aggregation.projection.expressions]]
==== Spring Expression Support in Projection Expressions