Added brief section on how to use the CDI extension. Poslished documentation in general: updated copyright year, removed revision history, fixed links to Maven repositories, added missing section ids to create stable links, improved CSS for HTML rendering, improved PDF rendering.
1026 lines
39 KiB
XML
1026 lines
39 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.4//EN"
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"http://www.oasis-open.org/docbook/xml/4.4/docbookx.dtd">
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<chapter id="jpa.repositories">
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<title>JPA Repositories</title>
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<abstract>
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<para>This chapter includes details of the JPA repository
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implementation.</para>
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</abstract>
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<section id="jpa.introduction">
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<title>Introduction</title>
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<section id="jpa.namespace">
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<title>Spring namespace</title>
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<para>The JPA module of Spring Data contains a custom namespace that
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allows defining repository beans. It also contains certain features and
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element attributes that are special to JPA. Generally the JPA
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repositories can be set up using the <code>repositories</code>
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element:</para>
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<example>
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<title>Setting up JPA repositories using the namespace</title>
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<programlisting language="xml"><?xml version="1.0" encoding="UTF-8"?>
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<beans xmlns="http://www.springframework.org/schema/beans"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xmlns:jpa="http://www.springframework.org/schema/data/jpa"
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xsi:schemaLocation="http://www.springframework.org/schema/beans
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http://www.springframework.org/schema/beans/spring-beans.xsd
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http://www.springframework.org/schema/data/jpa
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http://www.springframework.org/schema/data/jpa/spring-jpa.xsd">
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<jpa:repositories base-package="com.acme.repositories" />
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</beans></programlisting>
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</example>
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<para>Using this element looks up Spring Data repositories as described
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in <xref linkend="repositories.create-instances"/>. Beyond that it
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activates persistence exception translation for all beans annotated with
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<interfacename>@Repository</interfacename> to let exceptions being
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thrown by the JPA presistence providers be converted into Spring's
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<classname>DataAccessException</classname> hierarchy.</para>
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<simplesect id="jpa.namespace-attributes">
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<title>Custom namespace attributes</title>
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<para>Beyond the default attributes of the <code>repositories</code>
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element the JPA namespace offers additional attributes to gain more
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detailled control over the setup of the repositories:</para>
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<table>
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<title>Custom JPA-specific attributes of the repositories
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element</title>
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<tgroup cols="2">
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<tbody>
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<row>
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<entry><code>entity-manager-factory-ref</code></entry>
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<entry>Explicitly wire the
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<interfacename>EntityManagerFactory</interfacename> to be used
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with the repositories being detected by the
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<code>repositories</code> element. Usually used if multiple
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<interfacename>EntityManagerFactory</interfacename> beans are
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used within the application. If not configured we will
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automatically lookup the single
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<interfacename>EntityManagerFactory</interfacename> configured
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in the
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<interfacename>ApplicationContext</interfacename>.</entry>
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</row>
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<row>
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<entry><code>transaction-manager-ref</code></entry>
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<entry>Explicitly wire the
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<interfacename>PlatformTransactionManager</interfacename> to
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be used with the repositories being detected by the
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<code>repositories</code> element. Usually only necessary if
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multiple transaction managers and/or
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<interfacename>EntityManagerFactory</interfacename> beans have
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been configured. Default to a single defined
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<interfacename>PlatformTransactionManager</interfacename>
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inside the current
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<interfacename>ApplicationContext</interfacename>.</entry>
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</row>
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</tbody>
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</tgroup>
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</table>
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</simplesect>
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</section>
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</section>
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<section id="jpa.query-methods">
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<title>Query methods</title>
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<section id="jpa.sample-app.finders.strategies">
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<title>Query lookup strategies</title>
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<para>The JPA module supports defining a query manually as String or
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have it being derived from the method name.</para>
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<simplesect>
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<title>Declared queries</title>
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<para>Although getting a query derived from the method name is quite
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convenient, one might face the situation in which either the method
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name parser does not support the keyword one wants to use or the
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method name would get unnecessarily ugly. So you can either use JPA
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named queries through a naming convention (see <xref
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linkend="jpa.query-methods.named-queries"/> for more information) or
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rather annotate your query method with
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<interfacename>@Query</interfacename> (see <xref
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linkend="jpa.query-methods.at-query"/> for details).</para>
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</simplesect>
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</section>
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<section id="jpa.query-methods.query-creation">
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<title>Query creation</title>
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<para>Generally the query creation mechanism for JPA works as described
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in <xref linkend="repositories.query-methods"/>. Here's a short example
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of what a JPA query method translates into:<example>
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<title>Query creation from method names</title>
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<para><programlisting language="java">public interface UserRepository extends Repository<User, Long> {
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List<User> findByEmailAddressAndLastname(String emailAddress, String lastname);
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}</programlisting>We will create a query using the JPA criteria API from this
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but essentially this translates into the following query:</para>
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<programlisting>select u from User u where u.emailAddress = ?1 and u.lastname = ?2</programlisting>
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<para>Spring Data JPA will do a property check and traverse nested
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properties as described in <xref
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linkend="repositories.query-methods.property-expressions"/>. Here's
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an overview of the keywords supported for JPA and what a method
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containing that keyword essentially translates to.</para>
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</example></para>
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<para><table>
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<title>Supported keywords inside method names</title>
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<tgroup cols="3">
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<colspec colwidth="1*"/>
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<colspec colwidth="2*"/>
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<colspec colwidth="3*"/>
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<thead>
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<row>
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<entry>Keyword</entry>
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<entry>Sample</entry>
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<entry>JPQL snippet</entry>
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</row>
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</thead>
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<tbody>
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<row>
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<entry><code>And</code></entry>
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<entry><code>findByLastnameAndFirstname</code></entry>
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<entry><code>… where x.lastname = ?1 and x.firstname =
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?2</code></entry>
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</row>
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<row>
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<entry><code>Or</code></entry>
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<entry><code>findByLastnameOrFirstname</code></entry>
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<entry><code>… where x.lastname = ?1 or x.firstname =
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?2</code></entry>
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</row>
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<row>
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<entry><code>Between</code></entry>
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<entry><code>findByStartDateBetween</code></entry>
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<entry><code>… where x.startDate between 1? and
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?2</code></entry>
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</row>
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<row>
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<entry><code>LessThan</code></entry>
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<entry><code>findByAgeLessThan</code></entry>
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<entry><code>… where x.age < ?1</code></entry>
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</row>
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<row>
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<entry><code>GreaterThan</code></entry>
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<entry><code>findByAgeGreaterThan</code></entry>
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<entry><code>… where x.age > ?1</code></entry>
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</row>
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<row>
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<entry><code>After</code></entry>
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<entry><code>findByStartDateAfter</code></entry>
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<entry><code>… where x.startDate > ?1</code></entry>
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</row>
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<row>
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<entry><code>Before</code></entry>
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<entry><code>findByStartDateBefore</code></entry>
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<entry><code>… where x.startDate < ?1</code></entry>
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</row>
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<row>
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<entry><code>IsNull</code></entry>
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<entry><code>findByAgeIsNull</code></entry>
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<entry><code>… where x.age is null</code></entry>
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</row>
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<row>
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<entry><code>IsNotNull,NotNull</code></entry>
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<entry><code>findByAge(Is)NotNull</code></entry>
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<entry><code>… where x.age not null</code></entry>
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</row>
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<row>
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<entry><code>Like</code></entry>
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<entry><code>findByFirstnameLike</code></entry>
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<entry><code>… where x.firstname like ?1</code></entry>
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</row>
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<row>
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<entry><code>NotLike</code></entry>
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<entry><code>findByFirstnameNotLike</code></entry>
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<entry><code>… where x.firstname not like ?1</code></entry>
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</row>
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<row>
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<entry><code>StartingWith</code></entry>
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<entry><code>findByFirstnameStartingWith</code></entry>
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<entry><code>… where x.firstname like ?1</code> (parameter
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bound with prepended <code>%</code>)</entry>
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</row>
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<row>
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<entry><code>ngWith</code></entry>
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<entry><code>findByFirstnameEndingWith</code></entry>
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<entry><code>… where x.firstname like ?1</code> (parameter
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bound with appended <code>%</code>)</entry>
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</row>
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<row>
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<entry><code>Containing</code></entry>
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<entry><code>findByFirstnameContaining</code></entry>
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<entry><code>… where x.firstname like ?1</code> (parameter
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bound wrapped in <code>%</code>)</entry>
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</row>
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<row>
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<entry><code>OrderBy</code></entry>
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<entry><code>findByAgeOrderByLastnameDesc</code></entry>
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<entry><code>… where x.age = ?1 order by x.lastname
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desc</code></entry>
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</row>
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<row>
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<entry><code>Not</code></entry>
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<entry><code>findByLastnameNot</code></entry>
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<entry><code>… where x.lastname <> ?1</code></entry>
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</row>
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<row>
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<entry><code>In</code></entry>
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<entry><code>findByAgeIn(Collection<Age>
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ages)</code></entry>
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<entry><code>… where x.age in ?1</code></entry>
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</row>
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<row>
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<entry><code>NotIn</code></entry>
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<entry><code>findByAgeNotIn(Collection<Age>
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age)</code></entry>
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<entry><code>… where x.age not in ?1</code></entry>
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</row>
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<row>
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<entry><code>True</code></entry>
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<entry><code>findByActiveTrue()</code></entry>
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<entry><code>… where x.active = true</code></entry>
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</row>
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<row>
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<entry><code>False</code></entry>
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<entry><code>findByActiveFalse()</code></entry>
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<entry><code>… where x.active = false</code></entry>
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</row>
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</tbody>
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</tgroup>
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</table><note>
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<para><code>In</code> and <code>NotIn</code> also take any subclass
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of <interfacename>Collection</interfacename> as parameter as well as
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arrays or varargs. For other syntactical versions of the very same
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logical operator check <xref
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linkend="repository-query-keywords"/>.</para>
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</note></para>
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</section>
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<section id="jpa.query-methods.named-queries">
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<title>Using JPA NamedQueries</title>
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<note>
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<para>The examples use simple <code><named-query /></code>
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element and <code>@NamedQuery</code> annotation. The queries for these
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configuration elements have to be defined in JPA query language. Of
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course you can use <code><named-native-query /></code> or
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<code>@NamedNativeQuery</code> too. These elements allow you to define
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the query in native SQL by losing the database platform
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independence.</para>
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</note>
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<simplesect>
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<title>XML named query definition</title>
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<para>To use XML configuration simply add the necessary
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<code><named-query /></code> element to the
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<filename>orm.xml</filename> JPA configuration file located in
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<filename>META-INF</filename> folder of your classpath. Automatic
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invocation of named queries is enabled by using some defined naming
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convention. For more details see below.</para>
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<example>
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<title>XML named query configuration</title>
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<programlisting language="xml"><named-query name="User.findByLastname">
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<query>select u from User u where u.lastname = ?1</query>
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</named-query></programlisting>
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</example>
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<para>As you can see the query has a special name which will be used
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to resolve it at runtime.</para>
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</simplesect>
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<simplesect>
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<title>Annotation configuration</title>
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<para>Annotation configuration has the advantage of not needing
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another configuration file to be edited, probably lowering maintenance
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costs. You pay for that benefit by the need to recompile your domain
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class for every new query declaration.</para>
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<example>
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<title>Annotation based named query configuration</title>
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<programlisting language="java">@Entity
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@NamedQuery(name = "User.findByEmailAddress",
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query = "select u from User u where u.emailAddress = ?1")
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public class User {
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}</programlisting>
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</example>
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</simplesect>
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<simplesect>
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<title>Declaring interfaces</title>
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<para>To allow execution of these named queries all you need to do is
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to specify the <interfacename>UserRepository</interfacename> as
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follows:</para>
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<example>
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<title>Query method declaration in UserRepository</title>
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<programlisting language="java">public interface UserRepository extends JpaRepository<User, Long> {
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List<User> findByLastname(String lastname);
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User findByEmailAddress(String emailAddress);
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}</programlisting>
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</example>
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<para>Spring Data will try to resolve a call to these methods to a
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named query, starting with the simple name of the configured domain
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class, followed by the method name separated by a dot. So the example
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here would use the named queries defined above instead of trying to
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create a query from the method name.</para>
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</simplesect>
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</section>
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<section id="jpa.query-methods.at-query">
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<title>Using @Query</title>
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<para>Using named queries to declare queries for entities is a valid
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approach and works fine for a small number of queries. As the queries
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themselves are tied to the Java method that executes them you actually
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can bind them directly using the Spring Data JPA <code>@Query</code>
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annotation rather than annotating them to the domain class. This will
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free the domain class from persistence specific information and
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co-locate the query to the repository interface.</para>
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<para>Queries annotated to the query method will take precedence over
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queries defined using <code>@NamedQuery</code> or named queries declared
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in <filename>orm.xml</filename>.</para>
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<example>
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<title>Declare query at the query method using @Query</title>
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<programlisting language="java">public interface UserRepository extends JpaRepository<User, Long> {
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@Query("select u from User u where u.emailAddress = ?1")
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User findByEmailAddress(String emailAddress);
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}</programlisting>
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</example>
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<simplesect>
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<title>Native queries</title>
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<para>The <interfacename>@Query</interfacename> annotation allows to
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execute native queries by setting the <code>nativeQuery</code> flag to
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true. Note, that we currently don't support execution of pagination or
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dynamic sorting for native queries as we'd have to manipulate the
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actual query declared and we cannot do this reliably for native
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SQL.</para>
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</simplesect>
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</section>
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<section id="jpa.named-parameters">
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<title>Using named parameters</title>
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<para>By default Spring Data JPA will use position based parameter
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binding as described in all the samples above. This makes query methods
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a little error prone to refactoring regarding the parameter position. To
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solve this issue you can use <code>@Param</code> annotation to give a
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method parameter a concrete name and bind the name in the query:</para>
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<example>
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<title>Using named parameters</title>
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<programlisting language="java">public interface UserRepository extends JpaRepository<User, Long> {
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@Query("select u from User u where u.firstname = :firstname or u.lastname = :lastname")
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User findByLastnameOrFirstname(@Param("lastname") String lastname,
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@Param("firstname") String firstname);
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}</programlisting>
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<para>Note that the method parameters are switched according to the
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occurrence in the query defined.</para>
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</example>
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</section>
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<section id="jpa.modifying-queries">
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<title>Modifying queries</title>
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<para>All the sections above describe how to declare queries to access a
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given entity or collection of entities. Of course you can add custom
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modifying behaviour by using facilities described in <xref
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linkend="repositories.custom-implementations"/>. As this approach is
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feasible for comprehensive custom functionality, you can achieve the
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execution of modifying queries that actually only need parameter binding
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by annotating the query method with <code>@Modifying</code>:</para>
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<example>
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<title>Declaring manipulating queries</title>
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<programlisting language="java">@Modifying
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@Query("update User u set u.firstname = ?1 where u.lastname = ?2")
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int setFixedFirstnameFor(String firstname, String lastname);</programlisting>
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</example>
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<para>This will trigger the query annotated to the method as updating
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query instead of a selecting one. As the
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<interfacename>EntityManager</interfacename> might contain outdated
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entities after the execution of the modifying query, we automatically
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clear it (see JavaDoc of
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<interfacename>EntityManager</interfacename>.<methodname>clear()</methodname>
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for details). This will effectively drop all non-flushed changes still
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pending in the <interfacename>EntityManager</interfacename>. If you
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don't wish the <interfacename>EntityManager</interfacename> to be
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cleared automatically you can set
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<interfacename>@Modifying</interfacename> annotation's
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<code>clearAutomatically</code> attribute to
|
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<literal>false</literal>;</para>
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</section>
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|
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<section id="jpa.query-hints">
|
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<title>Applying query hints</title>
|
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|
|
<para>To apply JPA <interfacename>QueryHint</interfacename>s to the
|
|
queries declared in your repository interface you can use the
|
|
<interfacename>QueryHints</interfacename> annotation. It takes an array
|
|
of JPA <interfacename>QueryHint</interfacename> annotations plus a
|
|
boolean flag to potentially disable the hints applied to the addtional
|
|
count query triggered when applying pagination.</para>
|
|
|
|
<example>
|
|
<title>Using QueryHints with a repository method</title>
|
|
|
|
<programlisting language="java">public interface UserRepository extends Repository<User, Long> {
|
|
|
|
@QueryHints(value = { @QueryHint(name = "name", value = "value")},
|
|
forCounting = false)
|
|
Page<User> findByLastname(String lastname, Pageable pageable);
|
|
}</programlisting>
|
|
|
|
<para>The just shown declaration would apply the configured
|
|
<interfacename>QueryHint</interfacename> for that actually query but
|
|
omit applying it to the count query triggered to calculate the total
|
|
number of pages.</para>
|
|
</example>
|
|
</section>
|
|
</section>
|
|
|
|
<section id="specifications">
|
|
<title>Specifications</title>
|
|
|
|
<para>JPA 2 introduces a criteria API that can be used to build queries
|
|
programmatically. Writing a <code>criteria</code> you actually define the
|
|
where-clause of a query for a domain class. Taking another step back these
|
|
criteria can be regarded as predicate over the entity that is described by
|
|
the JPA criteria API constraints.</para>
|
|
|
|
<para>Spring Data JPA takes the concept of a specification from Eric
|
|
Evans' book "Domain Driven Design", following the same semantics and
|
|
providing an API to define such
|
|
<interfacename>Specification</interfacename>s using the JPA criteria API.
|
|
To support specifications you can extend your repository interface with
|
|
the <interfacename>JpaSpecificationExecutor</interfacename>
|
|
interface:</para>
|
|
|
|
<programlisting language="java">public interface CustomerRepository extends CrudRepository<Customer, Long>, JpaSpecificationExecutor {
|
|
…
|
|
}</programlisting>
|
|
|
|
<para>The additional interface carries methods that allow you to execute
|
|
<interfacename>Specification</interfacename>s in a variety of ways.</para>
|
|
|
|
<para>For example, the <code>readAll</code> method will return all
|
|
entities that match the specification: </para>
|
|
|
|
<programlisting language="java">List<T> readAll(Specification<T> spec);</programlisting>
|
|
|
|
<para>The <interfacename>Specification</interfacename> interface is as
|
|
follows:</para>
|
|
|
|
<programlisting language="java">public interface Specification<T> {
|
|
Predicate toPredicate(Root<T> root, CriteriaQuery<?> query,
|
|
CriteriaBuilder builder);
|
|
}</programlisting>
|
|
|
|
<para>Okay, so what is the typical use case?
|
|
<interfacename>Specification</interfacename>s can easily be used to build
|
|
an extensible set of predicates on top of an entity that then can be
|
|
combined and used with <interfacename>JpaRepository</interfacename>
|
|
without the need to declare a query (method) for every needed combination.
|
|
Here's an example:</para>
|
|
|
|
<example>
|
|
<title>Specifications for a Customer</title>
|
|
|
|
<programlisting language="java">public class CustomerSpecs {
|
|
|
|
public static Specification<Customer> isLongTermCustomer() {
|
|
return new Specification<Customer>() {
|
|
Predicate toPredicate(Root<T> root, CriteriaQuery<?> query,
|
|
CriteriaBuilder builder) {
|
|
|
|
LocalDate date = new LocalDate().minusYears(2);
|
|
return builder.lessThan(root.get(Customer_.createdAt), date);
|
|
}
|
|
};
|
|
}
|
|
|
|
public static Specification<Customer> hasSalesOfMoreThan(MontaryAmount value) {
|
|
return new Specification<Customer>() {
|
|
Predicate toPredicate(Root<T> root, CriteriaQuery<?> query,
|
|
CriteriaBuilder builder) {
|
|
|
|
// build query here
|
|
}
|
|
};
|
|
}
|
|
}</programlisting>
|
|
</example>
|
|
|
|
<para>Admittedly the amount of boilerplate leaves room for improvement
|
|
(that will hopefully be reduced by Java 8 closures) but the client side
|
|
becomes much nicer as you will see below. Besides that we have expressed
|
|
some criteria on a business requirement abstraction level and created
|
|
executable <interfacename>Specification</interfacename>s. So a client
|
|
might use a <interfacename>Specification</interfacename> as
|
|
follows:</para>
|
|
|
|
<example>
|
|
<title>Using a simple Specification</title>
|
|
|
|
<programlisting language="java">List<Customer> customers = customerRepository.findAll(isLongTermCustomer());</programlisting>
|
|
</example>
|
|
|
|
<para>Okay, why not simply create a query for this kind of data access?
|
|
You're right. Using a single <interfacename>Specification</interfacename>
|
|
does not gain a lot of benefit over a plain query declaration. The power
|
|
of <interfacename>Specification</interfacename>s really shines when you
|
|
combine them to create new <interfacename>Specification</interfacename>
|
|
objects. You can achieve this through the
|
|
<classname>Specifications</classname> helper class we provide to build
|
|
expressions like this:</para>
|
|
|
|
<example>
|
|
<title>Combined Specifications</title>
|
|
|
|
<para><programlisting language="java">MonetaryAmount amount = new MonetaryAmount(200.0, Currencies.DOLLAR);
|
|
List<Customer> customers = customerRepository.readAll(
|
|
where(isLongTermCustomer()).or(hasSalesOfMoreThan(amount)));</programlisting>As
|
|
you can see, <classname>Specifications</classname> offers some glue-code
|
|
methods to chain and combine
|
|
<interfacename>Specification</interfacename>s. Thus extending your data
|
|
access layer is just a matter of creating new
|
|
<interfacename>Specification</interfacename> implementations and
|
|
combining them with ones already existing.</para>
|
|
</example>
|
|
</section>
|
|
|
|
<section id="transactions">
|
|
<title>Transactionality</title>
|
|
|
|
<para>CRUD methods on repository instances are transactional by default.
|
|
For reading operations the transaction configuration <code>readOnly</code>
|
|
flag is set to true, all others are configured with a plain
|
|
<classname>@Transactional</classname> so that default transaction
|
|
configuration applies. For details see JavaDoc of
|
|
<classname>Repository</classname>. If you need to tweak transaction
|
|
configuration for one of the methods declared in
|
|
<interfacename>Repository</interfacename> simply redeclare the method in
|
|
your repository interface as follows:</para>
|
|
|
|
<example>
|
|
<title>Custom transaction configuration for CRUD</title>
|
|
|
|
<programlisting language="java">public interface UserRepository extends JpaRepository<User, Long> {
|
|
|
|
@Override
|
|
@Transactional(timeout = 10)
|
|
public List<User> findAll();
|
|
|
|
// Further query method declarations
|
|
}</programlisting>
|
|
|
|
<para>This will cause the <methodname>findAll()</methodname> method to
|
|
be executed with a timeout of 10 seconds and without the
|
|
<code>readOnly</code> flag.</para>
|
|
</example>
|
|
|
|
<para>Another possibility to alter transactional behaviour is using a
|
|
facade or service implementation that typically covers more than one
|
|
repository. Its purpose is to define transactional boundaries for non-CRUD
|
|
operations:</para>
|
|
|
|
<example>
|
|
<title>Using a facade to define transactions for multiple repository
|
|
calls</title>
|
|
|
|
<programlisting language="java">@Service
|
|
class UserManagementImpl implements UserManagement {
|
|
|
|
private final UserRepository userRepository;
|
|
private final RoleRepository roleRepository;
|
|
|
|
@Autowired
|
|
public UserManagementImpl(UserRepository userRepository,
|
|
RoleRepository roleRepository) {
|
|
this.userRepository = userRepository;
|
|
this.roleRepository = roleRepository;
|
|
}
|
|
|
|
@Transactional
|
|
public void addRoleToAllUsers(String roleName) {
|
|
|
|
Role role = roleRepository.findByName(roleName);
|
|
|
|
for (User user : userRepository.readAll()) {
|
|
user.addRole(role);
|
|
userRepository.save(user);
|
|
}
|
|
}</programlisting>
|
|
|
|
<para>This will cause call to
|
|
<methodname>addRoleToAllUsers(…)</methodname> to run inside a
|
|
transaction (participating in an existing one or create a new one if
|
|
none already running). The transaction configuration at the repositories
|
|
will be neglected then as the outer transaction configuration determines
|
|
the actual one used. Note that you will have to activate
|
|
<code><tx:annotation-driven /></code> explicitly to get annotation
|
|
based configuration at facades working. The example above assumes you
|
|
are using component scanning.</para>
|
|
</example>
|
|
|
|
<section id="transactional-query-methods">
|
|
<title>Transactional query methods</title>
|
|
|
|
<para>To allow your query methods to be transactional simply use
|
|
<interfacename>@Transactional</interfacename> at the repository
|
|
interface you define.</para>
|
|
|
|
<example>
|
|
<title>Using @Transactional at query methods</title>
|
|
|
|
<programlisting language="java">@Transactional(readOnly = true)
|
|
public interface UserRepository extends JpaRepository<User, Long> {
|
|
|
|
List<User> findByLastname(String lastname);
|
|
|
|
@Modifying
|
|
@Transactional
|
|
@Query("delete from User u where u.active = false")
|
|
void deleteInactiveUsers();
|
|
}</programlisting>
|
|
|
|
<para>Typically you will want the <code>readOnly</code> flag set to
|
|
true as most of the query methods will only read data. In contrast to
|
|
that <methodname>deleteInactiveUsers()</methodname> makes use of the
|
|
<interfacename>@Modifying</interfacename> annotation and overrides the
|
|
transaction configuration. Thus the method will be executed with
|
|
<code>readOnly</code> flag set to false.</para>
|
|
</example>
|
|
|
|
<note>
|
|
<para>It's definitely reasonable to use transactions for read only
|
|
queries and we can mark them as such by setting the
|
|
<code>readOnly</code> flag. This will not, however, act as check that
|
|
you do not trigger a manipulating query (although some databases
|
|
reject <literal>INSERT</literal> and <literal>UPDATE</literal>
|
|
statements inside a read only transaction). The <code>readOnly</code>
|
|
flag instead is propagated as hint to the underlying JDBC driver for
|
|
performance optimizations. Furthermore, Spring will perform some
|
|
optimizations on the underlying JPA provider. E.g. when used with
|
|
Hibernate the flush mode is set to <code>NEVER</code> when you
|
|
configure a transaction as <code>readOnly</code> which causes
|
|
Hibernate to skip dirty checks (a noticeable improvement on large
|
|
object trees).</para>
|
|
</note>
|
|
</section>
|
|
</section>
|
|
|
|
<section id="locking">
|
|
<title>Locking</title>
|
|
|
|
<para>To specify the lock mode to be used the
|
|
<interfacename>@Lock</interfacename> annotation can be used on query
|
|
methods:</para>
|
|
|
|
<example>
|
|
<title>Defining lock metadata on query methods</title>
|
|
|
|
<programlisting language="java">interface UserRepository extends Repository<User, Long> {
|
|
|
|
// Plain query method
|
|
@Lock(LockModeType.READ)
|
|
List<User> findByLastname(String lastname);
|
|
}</programlisting>
|
|
</example>
|
|
|
|
<para>This method declaration will cause the query being triggered to be
|
|
equipped with the <interfacename>LockModeType</interfacename>
|
|
<code>READ</code>. You can also define locking for CRUD methods by
|
|
redeclaring them in your repository interface and adding the
|
|
<interfacename>@Lock</interfacename> annotation:</para>
|
|
|
|
<example>
|
|
<title>Defining lock metadata on CRUD methods</title>
|
|
|
|
<programlisting language="java">interface UserRepository extends Repository<User, Long> {
|
|
|
|
// Redeclaration of a CRUD method
|
|
@Lock(LockModeType.READ);
|
|
List<User> findAll();
|
|
}</programlisting>
|
|
</example>
|
|
</section>
|
|
|
|
<section id="jpa.auditing">
|
|
<title>Auditing</title>
|
|
|
|
<para>Most applications will require some form of auditability to track
|
|
when an entity was created or modified and by whom. Spring Data JPA
|
|
provides facilities to add this audit information to an entity
|
|
transparently by AOP means. To take part in this functionality your domain
|
|
classes must implement a more advanced interface:</para>
|
|
|
|
<example>
|
|
<title><interfacename>Auditable</interfacename> interface</title>
|
|
|
|
<programlisting language="java">public interface Auditable<U, ID extends Serializable>
|
|
extends Persistable<ID> {
|
|
|
|
U getCreatedBy();
|
|
|
|
void setCreatedBy(U createdBy);
|
|
|
|
DateTime getCreatedDate();
|
|
|
|
void setCreated(Date creationDate);
|
|
|
|
U getLastModifiedBy();
|
|
|
|
void setLastModifiedBy(U lastModifiedBy);
|
|
|
|
DateTime getLastModifiedDate();
|
|
|
|
void setLastModified(Date lastModifiedDate);
|
|
}</programlisting>
|
|
</example>
|
|
|
|
<para>As you can see the modifying entity itself only has to be an entity.
|
|
Mostly this will be some sort of User entity, so we chose U as parameter
|
|
type.</para>
|
|
|
|
<note>
|
|
<para>To minimize boilerplate code Spring Data JPA offers
|
|
<classname>AbstractPersistable</classname> and
|
|
<classname>AbstractAuditable</classname> base classes that implement and
|
|
pre-configure entities. Thus you can decide to only implement the
|
|
interface or enjoy more sophisticated support by extending the base
|
|
class.</para>
|
|
</note>
|
|
|
|
<simplesect>
|
|
<title>General auditing configuration</title>
|
|
|
|
<para>Spring Data JPA ships with an entity listener that can be used to
|
|
trigger capturing auditing information. So first you have to register
|
|
the <classname>AuditingEntityListener</classname> inside your
|
|
<filename>orm.xml</filename> to be used for all entities in your
|
|
persistence contexts:</para>
|
|
|
|
<example>
|
|
<title>Auditing configuration orm.xml</title>
|
|
|
|
<programlisting language="xml"><persistence-unit-metadata>
|
|
<persistence-unit-defaults>
|
|
<entity-listeners>
|
|
<entity-listener class="….data.jpa.domain.support.AuditingEntityListener" />
|
|
</entity-listeners>
|
|
</persistence-unit-defaults>
|
|
</persistence-unit-metadata></programlisting>
|
|
</example>
|
|
|
|
<para>Now activating auditing functionality is just a matter of adding
|
|
the Spring Data JPA <literal>auditing</literal> namespace element to
|
|
your configuration:</para>
|
|
|
|
<example>
|
|
<title>Activating auditing in the Spring configuration</title>
|
|
|
|
<programlisting language="xml"><jpa:auditing auditor-aware-ref="yourAuditorAwareBean" /></programlisting>
|
|
</example>
|
|
|
|
<para>As you can see you have to provide a bean that implements the
|
|
<interfacename>AuditorAware</interfacename> interface which looks as
|
|
follows:</para>
|
|
|
|
<example>
|
|
<title><interfacename>AuditorAware</interfacename> interface</title>
|
|
|
|
<programlisting language="java">public interface AuditorAware<T, ID extends Serializable> {
|
|
|
|
T getCurrentAuditor();
|
|
}</programlisting>
|
|
</example>
|
|
|
|
<para>Usually you will have some kind of authentication component in
|
|
your application that tracks the user currently working with the system.
|
|
This component should be <interfacename>AuditorAware</interfacename> and
|
|
thus allow seamless tracking of the auditor.</para>
|
|
</simplesect>
|
|
</section>
|
|
|
|
<section id="jpa.misc">
|
|
<title>Miscellaneous</title>
|
|
|
|
<section id="jpa.misc.merging-persistence-units">
|
|
<title>Merging persistence units</title>
|
|
|
|
<para>Spring supports having multiple persistence units out of the box.
|
|
Sometimes, however, you might want to modularize your application but
|
|
still make sure that all these modules run inside a single persistence
|
|
unit at runtime. To do so Spring Data JPA offers a
|
|
<code>PersistenceUnitManager</code> implementation that automatically
|
|
merges persistence units based on their name.</para>
|
|
|
|
<example>
|
|
<title>Using MergingPersistenceUnitmanager</title>
|
|
|
|
<para><programlisting language="xml"><bean class="….LocalContainerEntityManagerFactoryBean">
|
|
<property name="persistenceUnitManager">
|
|
<bean class="….MergingPersistenceUnitManager" />
|
|
</property
|
|
</bean></programlisting></para>
|
|
</example>
|
|
</section>
|
|
|
|
<section id="jpa.misc.entity-scanning">
|
|
<title>Classpath scanning for @Entity classes and JPA mapping
|
|
files</title>
|
|
|
|
<para>A plain JPA setup requires all annotation mapped entity classes
|
|
listed in <filename>orm.xml</filename>. Same applies to XML mapping
|
|
files. Spring Data JPA provides a
|
|
<classname>ClasspathScanningPersistenceUnitPostProcessor</classname>
|
|
that gets a base package configured and optionally takes a mapping
|
|
filename pattern. It will then scan the given package for classes
|
|
annotated with <interfacename>@Entity</interfacename> or
|
|
<interfacename>@MappedSuperclass</interfacename> and also loads the
|
|
configuration files matching the filename pattern and hands them to the
|
|
JPA configuration. The PostProcessor has to be configured like
|
|
this</para>
|
|
|
|
<example>
|
|
<title>Using ClasspathScanningPersistenceUnitPostProcessor</title>
|
|
|
|
<para><programlisting language="xml"><bean class="….LocalContainerEntityManagerFactoryBean">
|
|
<property name="persistenceUnitPostProcessors">
|
|
<list>
|
|
<bean class="org.springframework.data.jpa.support.ClasspathScanningPersistenceUnitPostProcessor">
|
|
<constructor-arg value="com.acme.domain" />
|
|
<property name="mappingFileNamePattern" value="**/*Mapping.xml" />
|
|
</bean>
|
|
</list>
|
|
</property>
|
|
</bean></programlisting></para>
|
|
</example>
|
|
|
|
<note>
|
|
<para>As of Spring 3.1 a package to scan can be configured on the
|
|
<classname>LocalContainerEntityManagerFactoryBean</classname> directly
|
|
to enable classpath scanning for entity classes. See the <ulink
|
|
url="http://static.springsource.org/spring/docs/3.1.x/javadoc-api/org/springframework/orm/jpa/LocalContainerEntityManagerFactoryBean.html#setPackagesToScan(java.lang.String...)">JavaDoc</ulink>
|
|
for details.</para>
|
|
</note>
|
|
</section>
|
|
|
|
<section id="jpd.misc.cdi-integration">
|
|
<title>CDI integration</title>
|
|
|
|
<para>Instances of the repository interfaces are usually created by a
|
|
container, which Spring is the most natural choice when working with
|
|
Spring Data. There's sophisticated support to easily set up Spring to
|
|
create bean instances documented in <xref
|
|
linkend="repositories.create-instances"/>. As of version 1.1.0 Spring
|
|
Data JPA ships with a custom CDI extension that allows using the
|
|
repository abstraction in CDI environments. The extension is part of the
|
|
JAR so all you need to do to activate it is dropping the Spring Data JPA
|
|
JAR into your classpath.</para>
|
|
|
|
<para>You can now set up the infrastructure by implementing a CDI
|
|
<interfacename>Producer</interfacename> for the
|
|
<classname>EntityManagerFactory</classname>:</para>
|
|
|
|
<programlisting language="java">class EntityManagerFactoryProducer {
|
|
|
|
@Produces
|
|
@ApplicationScoped
|
|
public EntityManagerFactory createEntityManagerFactory() {
|
|
return Persistence.createEntityManagerFactory("my-presistence-unit");
|
|
}
|
|
|
|
public void close(@Disposes EntityManagerFactory entityManagerFactory) {
|
|
entityManagerFactory.close();
|
|
}
|
|
}</programlisting>
|
|
|
|
<para>The Spring Data JPA CDI extension will pick up all
|
|
<interfacename>EntityManager</interfacename>s availables as CDI beans
|
|
and create a proxy for a Spring Data repository whenever an bean of a
|
|
repository type is requested by the container. Thus obtaining an
|
|
instance of a Spring Data repository is a matter of declaring an
|
|
<interfacename>@Inject</interfacename>ed property:</para>
|
|
|
|
<programlisting language="java">class RepositoryClient {
|
|
|
|
@Inject
|
|
PersonRepository repository;
|
|
|
|
public void businessMethod() {
|
|
|
|
List<Person> people = repository.findAll();
|
|
}
|
|
}</programlisting>
|
|
</section>
|
|
</section>
|
|
</chapter>
|