Create dedicated section on projections
Closes gh-264
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@@ -480,55 +480,13 @@ assertThat(books.get(0).getName()).isEqualTo("...");
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[[data]]
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== Data Integration
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Spring for GraphQL is, in contrast to other GraphQL technologies that surface persistent
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data, not a data gateway that translates GraphQL queries into SQL or JSON queries.
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Instead, Spring for GraphQL is an API gateway that leverages existing Spring technology
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following common programming models to expose underlying data sources through GraphQL.
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Spring for GraphQL lets you leverage existing Spring technology, following common
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programming models to expose underlying data sources through GraphQL.
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Domain-driven design is the suggested approach to manage complexity when using Spring Data.
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So by design, a GraphQL API built on top of Spring Data can leverage only what's already
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provided by an application.
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It, therefore, must adhere to the constraints of an aggregate.
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By definition, an aggregate is only valid if it is loaded in its entirety.
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Partially loaded aggregates may impose a limitation on aggregate functionality.
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With Spring Data you can choose whether you want to let your aggregate participate as
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an underlying data model to be directly exposed as a GraphQL result, or whether you want to
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apply projections to your data model before returning it as a GraphQL operation result.
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The advantage of using aggregates is that you do not require additional code to expose
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data through repositories. When processing a GraphQL operation, the integration layer
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transforms the field selection set into property paths. It provides these hints of which
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properties to materialize to the underlying Spring Data module that limits the field
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(or column) selection.
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Sometimes, an already reduced set of fields can be useful when exposing data. Also, some
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arrangements might require transformations to be applied before data is returned for a
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GraphQL operation. Spring Data supports for these scenarios projections: Interface and DTO
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Projections.
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Interface projections define a fixed set of properties to expose. Properties may or may
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not be `null`, depending on the query result. A plain, https://docs.spring.io/spring-data/commons/docs/current/reference/html/#projections.interfaces.closed[closed interface projection]
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can be useful if you cannot partially materialize the aggregate object but you still
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want to expose a subset of properties.
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You can use interface projections to apply a lightweight set of data transformations,
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such as concatenations, computations or applying a static function to a property.
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https://docs.spring.io/spring-data/commons/docs/current/reference/html/#projections.interfaces.open[Open projections]
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leverage Spring's `@Value` annotation and
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{spring-framework-ref-docs}/core.html#expressions[SpEL expressions]for transformations.
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In both cases, interface projections define which properties to load from the underlying
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data source.
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DTO projections offer the highest possible level of customization as you can place your
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transformation code either in the constructor or the getter method.
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DTO projections materialize from a query where the individual properties are
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determined by the projection itself. DTO projections are commonly used with full-args
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constructors (e.g. Java records) and therefore they can only be constructed if all
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required fields (or columns) are part of the database query result.
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This section discusses an integration layer for Spring Data that provides an easy way to
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adapt a Querydsl or a Query by Example repository to a `DataFetcher`, including the
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option for automated detection and GraphQL Query registration for repositories marked
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with `@GraphQlRepository`.
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@@ -655,9 +613,12 @@ A repository may itself be an instance of `QuerydslBinderCustomizer`. This is au
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and transparently applied during <<data-querydsl-registration>>. However, when manually
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building a `QuerydslDataFetcher` you will need to use builder methods to apply it.
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`QuerydslDataFetcher` supports
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https://docs.spring.io/spring-data/commons/docs/current/reference/html/#projections[interface and DTO projections]
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to transform query results before returning these for further GraphQL processing.
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`QuerydslDataFetcher` supports interface and DTO projections to transform query results
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before returning these for further GraphQL processing.
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TIP: To learn what projections are, please refer to the
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https://docs.spring.io/spring-data/commons/docs/current/reference/html/#projections[Spring Data docs].
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To understand how to use projections in GraphQL, please see <<data-projections>>.
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To use Spring Data projections with Querydsl repositories, create either a projection interface
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or a target DTO class and configure it through the `projectAs` method to obtain a
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@@ -691,7 +652,7 @@ or a target DTO class and configure it through the `projectAs` method to obtain
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[[data-querydsl-registration]]
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==== Auto Registration
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==== Auto-Registration
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If a repository is annotated with `@GraphQlRepository`, it is automatically registered
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for queries that do not already have a registered `DataFetcher` and whose return type
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@@ -713,7 +674,6 @@ detects `@GraphQlRepository` beans and uses them to initialize the
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[[data-querybyexample]]
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=== Query by Example
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@@ -763,9 +723,12 @@ it is supported, so no extra setup is required to enable it.
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[[data-querybyexample-customizations]]
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==== Customizations
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`QueryByExampleDataFetcher` supports
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https://docs.spring.io/spring-data/commons/docs/current/reference/html/#projections[interface and DTO projections]
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to transform query results before returning these for further GraphQL processing.
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`QueryByExampleDataFetcher` supports interface and DTO projections to transform query
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results before returning these for further GraphQL processing.
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TIP: To learn what projections are, please refer to the
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https://docs.spring.io/spring-data/commons/docs/current/reference/html/#projections[Spring Data docs].
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To understand how to use projections in GraphQL, please see <<data-projections>>.
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To use Spring Data projections with Query by Example repositories, create either a projection interface
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or a target DTO class and configure it through the `projectAs` method to obtain a
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@@ -797,9 +760,8 @@ or a target DTO class and configure it through the `projectAs` method to obtain
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----
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[[data-querybyexample-registration]]
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==== Auto Registration
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==== Auto-Registration
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If a repository is annotated with `@GraphQlRepository`, it is automatically registered
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for queries that do not already have a registered `DataFetcher` and whose return type
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@@ -818,6 +780,58 @@ detects `@GraphQlRepository` beans and uses them to initialize the
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[[data-projections]]
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=== Selection Set vs Projections
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A common question that arises is, how GraphQL selection sets compare to
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https://docs.spring.io/spring-data/commons/docs/current/reference/html/#projections[Spring Data projections]
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and what roles do each play?
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The short answer is that Spring for GraphQL is not a data gateway that translates GraphQL
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queries directly into SQL or JSON queries. Instead, it lets you leverage existing Spring
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technology and does not assume a one for one mapping between the GraphQL schema and the
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underlying data. That is why is there is room for both client-driven selection and for
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server-side transformation of the data model.
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To understand better, consider that Spring Data promotes domain-driven (DDD) design as
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the recommended approach to manage complexity in the data layer. In DDD, it is important
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to adhere to the constraints of an aggregate. By definition an aggregate is valid only if
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loaded in its entirety, since a partially loaded aggregate may impose a limitation on
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aggregate functionality.
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In Spring Data you can choose whether you want your aggregate be exposed as is, or
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whether to apply projections to the data model before returning it. Sometimes it's enough
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to do the former and by default, the <<data-querydsl>> and <<data-querybyexample>>
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integrations rely on the GraphQL field selection set to provide property path hints to
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the underlying Spring Data module to limit the field (or column) selection.
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In other cases, it's useful to reduce or even transform the underlying data model in
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order to adapt to the GraphQL schema, and Spring Data supports these through Interface
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and DTO Projections.
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Interface projections define a fixed set of properties to expose. Properties may or may
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not be `null`, depending on the data store query result. There are two kinds of interface
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projections both of which define which properties to load from the underlying data source:
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- https://docs.spring.io/spring-data/commons/docs/current/reference/html/#projections.interfaces.closed[Closed interface projections]
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are helpful if you cannot partially materialize the aggregate object, but you still
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want to expose a subset of properties.
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- https://docs.spring.io/spring-data/commons/docs/current/reference/html/#projections.interfaces.open[Open interface projections]
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leverage Spring's `@Value` annotation and
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{spring-framework-ref-docs}/core.html#expressions[SpEL] expressions to apply lightweight
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data transformations, such as concatenations, computations, or to apply a static function
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to a property.
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DTO projections offer the highest possible level of customization as you can place your
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transformation code either in the constructor or the getter method.
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DTO projections materialize from a query where the individual properties are
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determined by the projection itself. DTO projections are commonly used with full-args
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constructors (e.g. Java records), and therefore they can only be constructed if all
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required fields (or columns) are part of the database query result.
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[[controllers]]
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== Annotated Controllers
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