2010-10-01

Using Querydsl In Eclipse

Querydsl usage in Eclipse is now easier than ever. Since Querydsl 2.0 we have improved APT support in Querydsl to support incremental code generation in IDEs. We have also improved the release bundles to streamline the APT configuration in Java IDEs like Eclipse.

The APT usage improvements affect the JPA, JDO and MongoDB modules. Instead of a set of screenshots we have prepared a screencast to showcase the new APT features in Querydsl in an Eclipse context.

To enable APT usage in Eclipse you need to
  • set the Enable annotation processing checkbox via Properties > Java Compiler > Annotation Processing,
  • add the APT option defaultOverwrite = true if you are using Eclipse Helios and
  • set the Factory Path to one of the apt-one-jar files included in your release bundle.

The screencast uses the Querydsl JPA module in combination with Hibernate and shows the creation of a Java project, the creation of two simple domain types and the creation of a minimal demo service which presents the simplicity of Querydsl query usage.

2010-09-28

Querydsl 2.0 has been released!

Querydsl 2.0 has been released! After two alpha and two beta releases we are proud to announce the final 2.0 release. The biggest single change in Querydsl 2.0 compared to previous 1.* releases is the improved Expression API. We got rid of the coupling between the query construction contract and the DSL features of the Expression API.

The Expression API is now divided into two parts, an interface based part which describes the archetypes of Expressions which are used in Query construction, and a class based part, which provides the standard Expression DSL.

Here is an UML overview of the new Expression model : Expression model changes

In addition to the improvements of the Expression API there is improved Eclipse IDE support, initial Scala and Mongodb support.

Querying with Scala

Scala support for Querydsl has been on the roadmap for some time, and with the Querydsl 2.0 release we got initial support for using Querydsl in Scala applications released.

The goal was to use the Query interfaces as such, and to provide an alternative expression DSL better suited for Scala usage. With most Querydsl modules APT is used for code generation. As there is no equivalent for Scala we didn't try to provide code generation features for Scala domain models.

Instead we combined the Alias-feature of the Querydsl Core module with the Scala expression DSL. The result is in our opinion quite compact and readable.

For the moment Querydsl with Scala can be used with JPA, JDO and Mongodb. To get started, you will need the additional querydsl-scala dependency in your project in addition to the dependencies for your Querydsl backend support. Querydsl for Scala has been tested against Scala 2.8.0.

Using Maven you would need to declare the following additional dependency :

<dependency>
      <groupId>com.mysema.querydsl</groupId>
      <artifactId>querydsl-scala</artifactId>
      <version>${querydsl.version}</version>
</dependency>

Here is a minimal example with JPA/Hibernate :

Domain model :

@Entity
class User {
  @BeanProperty
  @Id
  var id: Integer = _;
  @BeanProperty
  var userName: String = _;
  @BeanProperty
  @ManyToOne
  var department: Department = _;
}

@Entity
class Department {
  @BeanProperty
  @Id
  var id: Integer = _;
  @BeanProperty
  var name: String = _;
}

And here are some query examples

import com.mysema.query.scala.Conversions._
import com.mysema.query.jpa.impl.JPAQuery

import com.mysema.query.types.path._
import org.junit.Test

class JPAQueryTest {

  val person = alias(classOf[Person])

  @Test
  def Various() {
    // list
    query from person where (person.firstName $like "Rob%") 
      .list person

    // unique result
    query from person where (person.firstName $like "Rob%") 
      .unique person

    // long where
    query from person 
      .where (person.firstName $like "Rob%", person.lastName $like "An%") 
      .list person

    // order
    query from person orderBy (person.firstName asc) list person

    // not null 
    query from person 
      .where (person.firstName $isEmpty, person.lastName $isNotNull) 
      .list person
  }

  def query() = new JPAQuery(entityManager)

}

The main import for Querydsl Scala integration is the following

import com.mysema.query.scala.Conversions._

The factory method for query creation is

def query() = new JPAQuery(entityManager)

In addition to queries you need variables which can be created like this

var person = alias(classOf[Person])

The person variable is a proxy instance of the the Person class which can be used in queries. Now you can construct your queries, populate them via from-where-...-orderBy calls and get the projection out via list/uniqueResult/listResults calls.

Querydsl expressions are constructed via method calls starting with the "$" sign.

With the Querydsl Java API a simple like expression would be constructed like this :

person.firstName.like("Rob%")

Using the Scala API it is

person.firstName $like "Rob%"

For more examples see src/test/scala in SVN.

2010-09-10

Secure Registration Method

Many services require users to register using real email addresses. Usually this is done so that the system sends a confirmation message to the email address after the user has registered. This requires a two phase flow in which the account details are first persisted into an inactive state and later activated. An alternative is to make the account temporarily active to let the user in right away, but close it after a while if there is no email confirmation.

There are several drawbacks to this two phase registration method:
  1. Increased complexity in handling account activation

  2. Unconfirmed users are persisted and need to be cleaned up from the database from time to time

  3. If the user is let in temporarily right away, there have to be additional measures to guard against bots and to authorize actions that are reserved for actually confirmed accounts.

  4. It is very inconvenient for the user if she first gives all her details and then somehow fails to confirm the account, e.g. due to a typo in the email address.

A much simpler, yet secure way of registration starts by confirming the email address. First the user gives her email address and the system sends her an email containing a unique registration link. With a properly constructed link, nothing needs to be persisted on the server side at this point. Only when the user follows the link, is she requested for other account details. The account is then created directly into an active state and the user is let in with full access rights.

The trick is in the link itself. It should be constructed to be a) hard to guess and tamper with and b) expiring by itself after a fixed amount of time. This can be achieved easily by adding a timestamp and the email address itself as parameters to the link and using a Message Authentication Code (MAC) to ensure that these parameters are not tampered with:
https://yourdomain.com/register
?
timestamp=123456789&email=john.doe@example.com&mac=MAC
in which the MAC is constructed using a hash function like SHA:
sha(123456789;john.doe@example.com;SECRET)
Here the SECRET is a long random phrase that is only known by the server. Even if one knows the building blocks of the link, one cannot fake it unless one knows the secret phrase.

Before even showing the user a registration form, the MAC is to be checked by comparing the supplied MAC with one calculated from the other message parameters.

Once we know that we can trust the link parameters we know that the given email address exists and is accessible by the user. Expiring the link is simply a matter of checking whether the timestamp is not too far in the past (e.g. three hours).

2010-09-06

Software business would be so easy without customers and users

This has sometimes come to my mind when being in one of those moments of pressure to deliver the promised features on time. Or when hearing that the delivery is not what was ordered or doesn’t have all the features imagined or is perfect apart from being late.

Well, no-one says the software business is easy, and it definitely isn’t so. But why is creating working software in the real world so difficult? I think the main reason is because the software business is about creating and selling something which is much more intangible than what we as human beings are used to deal with. And we are pretty much just learning how this new field of industry really works.

The intangible nature of the software can be seen from how
  • things can change fast
  • big changes are possible
  • it’s not easy to describe what is actually needed
  • it’s not easy to say if something is good enough
  • there is always multiple workable ways to solve problems

The rules and the laws on how to build a good house and good software are different, we have a long history on successfully constructing the buildings, we know how to do it well, but we are just learning on what kind of new skills and ways of thinking are needed to create successful software projects.

Embracing the change


Using agile methods to create software comes from the learned lesson that it’s not useful to fight against the intangible nature of software and the process of developing it. We have to have tools that are able embrace the change rather than fight against it. And the whole iterative development process with practices like continuous integration, delivering often, test driven development and so on are aimed to make that possible.

So now we have a toolbox full of good ways to react fast when things go into unexpected directions as they always do and everything is fine, right?

Well, no. What hasn’t changed that much at all is the relationship between the customers and developers. While the methods of creating the software have changed to be more agile, the contracts have not changed that much. And in the end the contract is the bottom line of what is possible in the relationship between these two parties.

The tighter the contract, the less it allows room to react, and the more there is risk that the whole project is doomed in the end due to trying to pretend that what everyone is doing is something solid, pre-designable and predictable far in advance.

The trust allows more space to react


Constructing software for someone is about fusing their ideas and wishes into working software. And if it would only be that, it would be quite manageable, but unfortunately there is no escape from the hard facts of time and money, and usually in the form of not having enough of both.

Agility means the ability to change the direction fast, the steer of the boat of software creation. And changing direction means there has to be some openness that the current direction might not be the best direction. So being agile means inherently being able to withstand a little bit of unsureness, the lack of knowing. The more we can feel confident in moving to uncharted territory with the knowledge that if things go bad, we can react correctly, the faster we can travel safely. But that’s confidence on the tools and the people you are traveling with, it’s not the (contractually) enforced confidence in the plan that was created in the past and which might not be working very well anymore in the changed situation.

So, in order for the software process to be truly agile, there has to be trust between the parties. Trust that both are actually traveling together, not a totally known path, but mutually agreed direction. When this trust is not present, what remains are the rigid steel frames of contracts. And usually this state also contracts the space of creativity too.

The big questions


Now that we have some ideas on what is a good way to create software and what kind of relationship between a paying customer and supplier would be good base for the successful project, there are two big questions:
  • How do you sell an agile software project?
  • How do you create a good contract for an agile project?

I’m positive that there is plenty of room for improvements in that arena and it’s going to be interesting to see how the agile movement is going to be seen in the arena of selling and making contracts. I will try to cover some ideas on them in my next blog post.

2010-07-31

Query Extensions in Action

Querydsl is all about providing the best type-safe querying tool for Java. To be the best fit for most of the situations, Querydsl provides lots of customization possibilities.

Query types can be extended to fit custom querying needs, custom method templates can be added to generated types and static delegate methods can be used as well.

Until recently static delegate methods could only be used for entity types. Since version 1.8.3 they can be used for built-in types as well.

This feature was requested by Luis Fernando Planella Gonzalez from the Cyclos project and they immediately took it into use.

Here is the declaration of their delegate methods :

/**
 * Contains extensions for common query classes
 * @author luis
 */
public class QueryExtensions {

    /**
     * Adds a period filter
     */
    @QueryDelegate(Date.class)
    public static EBoolean period(PDate<Date> expr, IDatePeriod period) {
        BooleanBuilder bb = new BooleanBuilder();
        Date begin = period == null ? null : period.getBegin();
        if (begin != null) {
            bb.and(expr.goe(begin));
        }
        Date end = period == null ? null : period.getEnd();
        if (end != null) {
            bb.and(expr.loe(end));
        }
        return bb;
    }

    /**
     * Adds a date period filter on a timestamp expression
     */
    @QueryDelegate(Timestamp.class)
    public static EBoolean period(PDateTime<Timestamp> expr, IDatePeriod period) {
        BooleanBuilder bb = new BooleanBuilder();
        Date begin = period == null ? null : period.getBegin();
        if (begin != null) {
            bb.and(expr.goe(DateHelper.toTime(begin)));
        }
        Date end = period.getEnd();
        if (end != null) {
            bb.and(expr.lt(DateHelper.toTime(DateHelper.truncateNextDay(end))));
        }
        return bb;
    }

    /**
     * Adds a timestamp period filter on a timestamp expression
     */
    @QueryDelegate(Timestamp.class)
    public static EBoolean period(PDateTime<Timestamp> expr, ITimestampPeriod period) {
        BooleanBuilder bb = new BooleanBuilder();
        Timestamp begin = period == null ? null : period.getBegin();
        if (begin != null) {
            bb.and(expr.goe(begin));
        }
        Timestamp end = period.getEnd();
        if (end != null) {
            bb.and(expr.loe(end));
        }
        return bb;
    }
}

All of the shown delegate methods are factory methods for "date in period" style expressions. The types for date and period vary in the methods.

The semantics of QueryDelegate annotations are simple. The @QueryDelegate.value determines the real type for the expression type to be extended and the first argument of the delegate method is used for the expression type instance itself. The rest of the arguments are used for the method in the extended query type.

In this example extensions for the types java.sql.Date and java.sql.Timestamp are declared. The respective builtin types in Querydsl are PDate and PDateTime. Two classes are created to extend the signature for PDate and PDateTime for Date and Timestamp usage :

public class QDate extends PDate {

    private static final long serialVersionUID = 494982445;

    public QDate(PEntity entity) {
        super(entity.getType(),entity.getMetadata());
    }

    public QDate(PathMetadata metadata) {
        super(java.sql.Date.class, metadata);
    }

    public EBoolean period(IDatePeriod period) {
        return QueryExtensions.period(this, period);
    }

}

public class QTimestamp extends PDateTime {

    private static final long serialVersionUID = 789961463;

    public QTimestamp(PEntity entity) {
        super(entity.getType(),entity.getMetadata());
    }

    public QTimestamp(PathMetadata metadata) {
        super(java.sql.Timestamp.class, metadata);
    }

    public EBoolean period(IDatePeriod period) {
        return QueryExtensions.period(this, period);
    }

    public EBoolean period(ITimestampPeriod period) {
        return QueryExtensions.period(this, period);
    }

}

With these generated types all of the property paths in the entity query types of type java.sql.Date and java.sql.Timestamp will use QDate and QTimestamp.

Now the extensions are ready to use in your queries. In Cyclos 4 the presented extensions are used in many places, for example the CardServiceBean class :

private List<CardVO> doSearch(Class<CardVO> resultType, CardQuery params) {
        QCard c = QCard.card;
        DBQuery query = from(c);

        if (params.getCardNumber() != null) {
            query.where(c.cardNumber.eq(params.getCardNumber()));
        }

        if (params.getCardType() != null) {
            query.where(c.cardType().id.eq(params.getCardType().getId()));
        }

        if (params.getExpirationDate() != null) {
            query.where(c.expirationDate.period(params.getExpirationDate()));
        }

        if (params.getCreationDate() != null) {
            query.where(c.creationDate.period(params.getCreationDate()));
        }

        if (params.getActivationDate() != null) {
            query.where(c.activationDate.period(params.getActivationDate()));
        }

        if (params.getGroups() != null) {
            Set groupsIds = EntityVO.getIds(params.getGroups());
            query.where(c.owner().group().id.in(groupsIds));
        }

        if (params.getOwner() != null) {
            query.where(c.owner().id.eq(params.getOwner().getId()));
        }

        if (params.getStatus() != null && !params.getStatus().isEmpty()) {
            query.where(c.status.in(params.getStatus()));
        }

        return query.run(resultType, params, c);
    }

The properties creationDate and activationDate are of type java.sql.Timestamp and expirationDate is of type java.sql.Date.

Conclusion


When you find yourself using lots of static helper methods to create your Querydsl queries, then consider using annotated delegate methods instead. They will make your queries more compact and are also easier to write as code autocomplete can be used.

2010-07-22

Querying Hibernate with Querydsl

Querydsl provides a typesafe querying layer on top of JPA, JDO, JDBC and other backends. This blog post presents a simple tutorial on how to get started with querying on Hibernate using Querydsl.

Querydsl for JPA/Hibernate is an alternative to both JPQL and JPA 2 Criteria queries. It combines the dynamic nature of Criteria queries with the expressiveness of JPQL and all that in a fully typesafe manner.

If you are unsure if switching to Querydsl from JPA 2 Criteria is worth a try, see this comparison.

Maven integration


To get started with Querydsl for Hibernate using a Maven 2 based build environment, follow the following steps.

Add the following dependencies to your Maven project and make sure that the Maven 2 repo of Mysema Source is accessible from your POM :

<dependency>
  <groupId>com.mysema.querydsl</groupId>
  <artifactId>querydsl-apt</artifactId>
  <version>1.8.2</version>
  <scope>provided</scope>
</dependency>  
    
<dependency>
  <groupId>com.mysema.querydsl</groupId>
  <artifactId>querydsl-hql</artifactId>
  <version>1.8.2</version>
</dependency>

<dependency>
  <groupId>org.slf4j</groupId>
  <artifactId>slf4j-log4j12</artifactId>
  <version>1.5.2</version>
</dependency>   

Querydsl uses the Annotation Processing Tool of Java 6 for code generation which needs to be configured as well :

<project>
  <build>
  <plugins>
    ...
    <plugin>
      <groupId>com.mysema.maven</groupId>
      <artifactId>maven-apt-plugin</artifactId>
      <version>0.3.2</version>
      <executions>
        <execution>
          <goals>
            <goal>process</goal>
          </goals>
          <configuration>
            <outputDirectory>target/generated-sources/java</outputDirectory>
            <processor>com.mysema.query.apt.jpa.JPAAnnotationProcessor</processor>
          </configuration>
        </execution>
      </executions>
    </plugin>
    ...
  </plugins>
  </build>
</project>

The JPAAnnotationProcessor finds domain types annotated with the javax.persistence.Entity annotation and generates query types for them.

If you use Hibernate annotations in your domain types you should use the APT processor com.mysema.query.apt.hibernate.HibernateAnnotationProcessor instead.

Run clean install and you will get your Query types generated into target/generated-sources/java.

If you use Eclipse, run mvn eclipse:eclipse to update your Eclipse project to include target/generated-sources/java as a source folder.

Now you are able to construct Querydsl query instances and instances of the query domain model.


Ant integration


If you have an Ant based build environment you can use one of the packaged releases from the Downloads page.

Place the jar files from the full-deps bundle on your classpath and use the following tasks for Querydsl code generation :

<!-- APT based code generation -->
   <javac srcdir="${src}" classpathref="cp">
     <compilerarg value="-proc:only"/>      
     <compilerarg value="-processor"/>
     <compilerarg value="com.mysema.query.apt.jpa.JPAAnnotationProcessor"/>
     <compilerarg value="-s"/>
     <compilerarg value="${generated}"/>
   </javac>
    
   <!-- compilation -->
   <javac classpathref="cp" destdir="${build}">      
     <src path="${src}"/>
     <src path="${generated}"/>
   </javac> 

Replace src with your main source folder, generated with your folder for generated sources and build with your target folder.

Using query types


To create queries with Querydsl you need to instantiate variables and Query implementations. We will start with the variables.

Let's assume that your project has the following domain type :

@Entity
public class Customer {
    private String firstName;
    private String lastName;

    public String getFirstName(){
        return firstName;
    }

    public String getLastName(){
        return lastName;
    }

    public void setFirstName(String fn){
        firstName = fn;
    }

    public void setLastName(String ln)[
        lastName = ln;
    }
}

Querydsl will generate a query type with the simple name QCustomer into the same package as Customer. QCustomer can be used as a statically typed variable in Querydsl queries as a representative for the Customer type.

QCustomer has a default instance variable which can be accessed as a static field :

QCustomer customer = QCustomer.customer;

Alternatively you can define your own Customer variables like this :

QCustomer customer = new QCustomer("myCustomer");

Querying


For the HQL-module HibernateQuery is the main Query implementation. It is instantiated like this :

// where session is a Hibernate session
HQLQuery query = new HibernateQuery (session); 

To use the JPA API instead of the Hibernate API, you can instantiate a JPAQuery like this :

// where entityManager is a JPA EntityManager   
HQLQuery query = new JPAQuery (entityManager); 

To retrieve the customer with the first name Bob you would construct a query like this :

QCustomer customer = QCustomer.customer;
HQLQuery query = new HibernateQuery (session);
Customer bob = query.from(customer)
  .where(customer.firstName.eq("Bob"))
  .uniqueResult(customer);

The from call defines the query source, the where part defines the filter and uniqueResult defines the projection and tells Querydsl to return a single element. Easy, right?

To create a query with multiple sources you just use the HQLQuery interface like this :

query.from(customer, company);    

And to use multiple filters use it like this

query.from(customer)
    .where(customer.firstName.eq("Bob"), customer.lastName.eq("Wilson"));   

Or like this

query.from(customer)
    .where(customer.firstName.eq("Bob").and(customer.lastName.eq("Wilson")));

In native JPQL form the query would be written like this :

from Customer as customer
    where customer.firstName = "Bob" and customer.lastName = "Wilson"

Using joins


Querydsl supports the following join variants in JPQL : inner join, join, left join and full join. Join usage is typesafe, and follows the following pattern :

query.from(cat)
    .innerJoin(cat.mate, mate)
    .leftJoin(cat.kittens, kitten)
    .list(cat);

The native JPQL version of the query would be

from Cat as cat
    inner join cat.mate as mate
    left outer join cat.kittens as kitten

Another example

query.from(cat)
    .leftJoin(cat.kittens, kitten)
    .on(kitten.bodyWeight.gt(10.0))
    .list(cat);

With the following JPQL version

from Cat as cat
    left join cat.kittens as kitten
    with kitten.bodyWeight > 10.0  

General usage


Use the the cascading methods of the HQLQuery interface like this

  • from : Define the query sources here.
  • innerJoin, join, leftJoin, fullJoin, on : Define join elements using these constructs. For the join methods the first argument is the join source and the second the target (alias).
  • where : Define the query filters, either in varargs form separated via commas or cascaded via the and-operator.
  • groupBy : Define the group by arguments in varargs form.
  • having : Define the having filter of the "group by" grouping as an varags array of EBoolean expressions.
  • orderBy : Define the ordering of the result as an varargs array of order expressions. Use asc() and desc() on numeric, string and other comparable expression to access the OrderSpecifier instances.
  • limit, offset, restrict : Define the paging of the result. Limit for max results, offset for skipping rows and restrict for defining both in one call.

Ordering


The syntax for declaring ordering is

query.from(customer)
    .orderBy(customer.lastName.asc(), customer.firstName.desc())
    .list(customer);

which is equivalent to the following native JPQL

from Customer as customer
    order by customer.lastName asc, customer.firstName desc

Grouping


Grouping can be done in the following form

query.from(customer)
    .groupBy(customer.lastName)
    .list(customer.lastName);

which is equivalent to the following native JPQL

select customer.lastName
    from Customer as customer
    group by customer.lastName

Delete clauses


Delete clauses in Querydsl follow a simple delete-where-execute form. Here are some examples :

QCat cat = QCat.cat;
// delete all cats
new HibernateDeleteClause(session, cat).execute();
// delete all cats with kittens
new HibernateDeleteClause(session, cat).where(cat.kittens.isNotEmpty()).execute();  

The second parameter of the HibernateDeleteClause constructor is the entity to be deleted. The where call is optional and the execute call performs the deletion and returns the amount of deleted entities.

For JPA based Delete usage, use the JPADeleteClause instead.

Update clauses


Update clauses in Querydsl follow a simple update-set/where-execute form. Here are some examples :

QCat cat = QCat.cat;
// rename cats named Bob to Bobby
new HibernateUpdateClause(session, cat).where(cat.name.eq("Bob"))
    .set(cat.name, "Bobby")
    .execute();  

The second parameter of the HibernateUpdateClause constructor is the entity to be updated. The set invocations define the property updates in SQL-Update-style and the execute call performs the Update and returns the amount of updated entities.

For JPA based Update usage, use the JPAUpdateClause instead.

Subqueries


To create a subquery you create a HQLSubQuery instance, define the query parameters via from, where etc and use unique or list to create a subquery, which is just a type-safe Querydsl expression for the query. unique is used for a unique (single) result and list for a list result.

query.from(department)
    .where(department.employees.size().eq(
        new HQLSubQuery().from(d).unique(d.employees.size().max())
     )).list(department);

Another example

query.from(employee)
    .where(employee.weeklyhours.gt(
        new HQLSubQuery().from(employee.department.employees, e)
        .where(e.manager.eq(employee.manager))
        .unique(e.weeklyhours.avg())
    )).list(employee);

Exposing the original query


If you need to do tune the original Query before the execution of the query you can expose it like this :

HibernateQuery query = new HibernateQuery(session);
org.hibernate.Query hibQuery = query.from(employee).createQuery(employee);
hibQuery.setResultTransformer(someTransformer);
List results = hibQuery.list();

Using Native SQL in Hibernate queries


Querydsl supports Native SQL in Hibernate via the HibernateSQLQuery class.

To use it, you must generate Querydsl query types for your SQL schema. This can be done for example with the following Maven configuration :

<plugin>
  <groupId>com.mysema.querydsl</groupId>
  <artifactId>querydsl-maven-plugin</artifactId>
  <version>${project.version}</version>
  <executions>
    <execution>
      <goals>
        <goal>export</goal>
      </goals>
    </execution>            
  </executions>
  <configuration>
    <jdbcDriver>org.apache.derby.jdbc.EmbeddedDriver</jdbcDriver>
    <jdbcUrl>jdbc:derby:target/demoDB;create=true</jdbcUrl>
    <packageName>com.mycompany.mydomain</packageName>
    <targetFolder>target/generated-sources/java</targetFolder>
  </configuration>
  <dependencies>
    <dependency>
      <groupId>org.apache.derby</groupId>
      <artifactId>derby</artifactId>
      <version>${derby.version}</version>
    </dependency>
  </dependencies>
</plugin>

When the query types have successfully been generated into the location of your choice, you can use them in your queries.

Single column query :

// serialization templates
SQLTemplates templates = new DerbyTemplates(); 
// query types (S* for SQL, Q* for domain types)
SAnimal cat = new SAnimal("cat");   
SAnimal mate = new SAnimal("mate"); 
QCat catEntity = QCat.cat;          
 
HibernateSQLQuery query = new HibernateSQLQuery(session, templates);
List<String> names = query.from(cat).list(cat.name);

Query multiple columns :

query = new HibernateSQLQuery(session, templates);
List<Object[]> rows = query.from(cat).list(cat.id, cat.name);

Query all columns :

List<Object[]> rows = query.from(cat).list(cat.all());

Query in SQL, but project as entity :

query = new HibernateSQLQuery(session, templates);
List<Cat> cats = query.from(cat).orderBy(cat.name.asc()).list(catEntity);

Query with joins :

query = new HibernateSQLQuery(session, templates);
cats = query.from(cat)
    .innerJoin(mate).on(cat.mateId.eq(mate.id))
    .where(cat.dtype.eq("Cat"), mate.dtype.eq("Cat"))
    .list(catEntity);

Query and project into DTO :

query = new HibernateSQLQuery(session, templates);
List<CatDTO> catDTOs = query.from(cat)
    .orderBy(cat.name.asc())
    .list(EConstructor.create(CatDTO.class, cat.id, cat.name));

If you are using the JPA API instead of the Hibernate API, then use JPASQLQuery instead of HibernateSQLQuery.

Where to go next


For an up-to-date guide on how to use Querydsl with Hibernate, see the latest Reference Documentation.

And if you have any issues, questions or ideas for enhancement post a thread in the Mysema Source Forum.

Happy querying!