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:
@@ -1,5 +1,5 @@
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/*
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* Copyright 2013-2017 the original author or authors.
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* Copyright 2013-2018 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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@@ -358,6 +358,28 @@ public class Aggregation {
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return new SortOperation(Sort.by(direction, fields));
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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 field must not be {@literal null} or empty.
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* @return
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* @since 2.1
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*/
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public static SortByCountOperation sortByCount(String field) {
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return new SortByCountOperation(field(field));
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}
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/**
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* Creates a new {@link SortByCountOperation} given {@link AggregationExpression group and sort expression}.
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*
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* @param groupAndSortExpression must not be {@literal null}.
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* @return
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* @since 2.1
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*/
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public static SortByCountOperation sortByCount(AggregationExpression groupAndSortExpression) {
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return new SortByCountOperation(groupAndSortExpression);
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}
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/**
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* Creates a new {@link SkipOperation} skipping the given number of elements.
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*
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@@ -481,26 +503,6 @@ 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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@@ -1,5 +1,5 @@
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/*
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* Copyright 2017 the original author or authors.
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* Copyright 2017-2018 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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@@ -16,57 +16,65 @@
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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.lang.Nullable;
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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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* Encapsulates the aggregation framework {@code $sortByCount}-operation.
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* <p/>
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* {@code $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 and computes the count of documents in each distinct group.
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* {@link SortByCountOperation} is equivalent to {@code { $group: { _id: <expression>, count: { $sum: 1 } } }, { $sort:
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* { count: -1 } }}.
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* <p/>
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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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* @see <a href=
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* "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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* @author Mark Paluch
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* @since 2.1
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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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private final @Nullable Field groupByField;
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private final @Nullable 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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/**
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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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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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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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/**
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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 expression must not be null!");
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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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this.groupByExpression = groupByExpression;
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this.groupByField = null;
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}
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/*
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* (non-Javadoc)
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* @see org.springframework.data.mongodb.core.aggregation.AggregationOperation#toDocument(org.springframework.data.mongodb.core.aggregation.AggregationOperationContext)
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*/
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@Override
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public Document toDocument(AggregationOperationContext context) {
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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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return new Document("$sortByCount", 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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@@ -1,5 +1,5 @@
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/*
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* Copyright 2016-2017 the original author or authors.
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* Copyright 2016-2018 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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@@ -15,14 +15,14 @@
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*/
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package org.springframework.data.mongodb.core.aggregation;
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import static org.hamcrest.MatcherAssert.*;
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import static org.hamcrest.MatcherAssert.assertThat;
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import static org.hamcrest.Matchers.*;
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import static org.springframework.data.mongodb.core.aggregation.Aggregation.*;
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import org.junit.Test;
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import org.springframework.data.mongodb.core.query.Criteria;
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import static org.springframework.data.mongodb.test.util.Assertions.assertThat;
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import org.bson.Document;
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import org.junit.Test;
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import org.springframework.data.mongodb.core.query.Criteria;
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/**
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* Unit tests for {@link FacetOperation}.
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@@ -34,29 +34,28 @@ import org.bson.Document;
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public class FacetOperationUnitTests {
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@Test // DATAMONGO-1552
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public void shouldRenderCorrectly() throws Exception {
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public void shouldRenderCorrectly() {
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FacetOperation facetOperation = new FacetOperation()
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.and(match(Criteria.where("price").exists(true)), //
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bucket("price") //
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.withBoundaries(0, 150, 200, 300, 400) //
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.withDefaultBucket("Other") //
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.andOutputCount().as("count") //
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.andOutput("title").push().as("titles")) //
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FacetOperation facetOperation = new FacetOperation().and(match(Criteria.where("price").exists(true)), //
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bucket("price") //
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.withBoundaries(0, 150, 200, 300, 400) //
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.withDefaultBucket("Other") //
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.andOutputCount().as("count") //
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.andOutput("title").push().as("titles")) //
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.as("categorizedByPrice") //
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.and(bucketAuto("year", 5)).as("categorizedByYears");
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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: { categorizedByPrice: [" + "{ $match: { price: { $exists: true } } }, "
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assertThat(agg)
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.isEqualTo(Document.parse("{ $facet: { categorizedByPrice: [" + "{ $match: { price: { $exists: true } } }, "
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+ "{ $bucket: { boundaries: [ 0, 150, 200, 300, 400 ], groupBy: \"$price\", default: \"Other\", "
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+ "output: { count: { $sum: 1 }, titles: { $push: \"$title\" } } } } ],"
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+ "categorizedByYears: [ { $bucketAuto: { buckets: 5, groupBy: \"$year\" } } ] } }")));
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+ "categorizedByYears: [ { $bucketAuto: { buckets: 5, groupBy: \"$year\" } } ] } }"));
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}
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@Test // DATAMONGO-1552
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public void shouldRenderEmpty() throws Exception {
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public void shouldRenderEmpty() {
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FacetOperation facetOperation = facet();
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@@ -66,7 +65,7 @@ public class FacetOperationUnitTests {
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}
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@Test(expected = IllegalArgumentException.class) // DATAMONGO-1552
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public void shouldRejectNonExistingFields() throws Exception {
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public void shouldRejectNonExistingFields() {
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FacetOperation facetOperation = new FacetOperation()
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.and(project("price"), //
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@@ -79,11 +78,11 @@ public class FacetOperationUnitTests {
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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: { categorizedByPrice: [" + "{ $match: { price: { $exists: true } } }, "
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assertThat(agg)
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.isEqualTo(Document.parse("{ $facet: { categorizedByPrice: [" + "{ $match: { price: { $exists: true } } }, "
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+ "{ $bucket: {boundaries: [ 0, 150, 200, 300, 400 ], groupBy: \"$price\", default: \"Other\", "
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+ "output: { count: { $sum: 1 }, titles: { $push: \"$title\" } } } } ],"
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+ "categorizedByYears: [ { $bucketAuto: { buckets: 5, groupBy: \"$year\" } } ] } }")));
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+ "categorizedByYears: [ { $bucketAuto: { buckets: 5, groupBy: \"$year\" } } ] } }"));
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}
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@Test // DATAMONGO-1552
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@@ -97,22 +96,21 @@ public class FacetOperationUnitTests {
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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: { categorizedByPrice: [" + "{ $project: { price: 1, name: \"$title\" } }, "
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assertThat(agg).isEqualTo(Document.parse("{ $facet: { categorizedByPrice: ["
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+ "{ $project: { price: 1, name: \"$title\" } }, "
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+ "{ $bucketAuto: { buckets: 5, groupBy: \"$price\", "
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+ "output: { titles: { $push: \"$name\" } } } } ] } }")));
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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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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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assertThat(agg).containsEntry("$facet.categorizedByCountry.[0].$sortByCount", "$country");
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}
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}
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@@ -0,0 +1,50 @@
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/*
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* Copyright 2018 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 static org.springframework.data.mongodb.core.aggregation.Aggregation.*;
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import static org.springframework.data.mongodb.test.util.Assertions.*;
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import java.util.Arrays;
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import org.bson.Document;
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import org.junit.Test;
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/**
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* Unit tests for {@link SortByCountOperation}.
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*
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* @author Mark Paluch
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*/
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public class SortByCountOperationUnitTests {
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@Test // DATAMONGO-1553
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public void shouldRenderFieldCorrectly() {
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SortByCountOperation operation = sortByCount("country");
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Document result = operation.toDocument(Aggregation.DEFAULT_CONTEXT);
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assertThat(result).containsEntry("$sortByCount", "$country");
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}
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@Test // DATAMONGO-1553
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public void shouldRenderExpressionCorrectly() {
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SortByCountOperation operation = sortByCount(StringOperators.valueOf("foo").substring(5));
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Document result = operation.toDocument(Aggregation.DEFAULT_CONTEXT);
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assertThat(result).containsEntry("$sortByCount.$substr", Arrays.asList("$foo", 5, -1));
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}
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}
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@@ -1914,19 +1914,6 @@ 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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@@ -1992,9 +1979,9 @@ facet(match(Criteria.where("price").exists(true)), bucketAuto("price", 5)).as("c
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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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// ]}}
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// { $project: { title: 1, publicationYear: { $year: "publicationDate"}}},
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// { $bucketAuto: {groupBy: $price, buckets: 5, output: { titles: {$push:"$title"}}}
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// ]}}
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facet(project("title").and("publicationDate").extractYear().as("publicationYear"),
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bucketAuto("publicationYear", 5).andOutput("title").push().as("titles"))
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.as("categorizedByYear"))
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@@ -2003,6 +1990,27 @@ facet(project("title").and("publicationDate").extractYear().as("publicationYear"
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Note that further details regarding facet operation can be found in the http://docs.mongodb.org/manual/reference/operator/aggregation/facet/[`$facet` section] of the MongoDB Aggregation Framework reference documentation.
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[[mongo.aggregation.sort-by-count]]
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==== SortByCount
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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.
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.Sort by count 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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A sort by count operation is equivalent to the following BSON:
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----
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{ $group: { _id: <expression>, count: { $sum: 1 } } },
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{ $sort: { count: -1 } }
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----
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[[mongo.aggregation.projection.expressions]]
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==== Spring Expression Support in Projection Expressions
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