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kuni katsuya

Pro JPA 2: Mastering the Java™ Persistence API > Advanced Topics > SQL Querie... - 0 views

  • queries are also known as native queries
  • SQL Queries
  • reasons why a developer using JP QL might want to integrate SQL queries into their application
  • ...32 more annotations...
  • JPA 2.0, still contains only a subset of the features supported by many database vendors
  • features not supported in JP QL.
  • performance required by an application is to replace the JP QL query with a hand-optimized SQL version. This may be a simple restructuring of the query that the persistence provider was generating, or it may be a vendor-specific version that leverages query hints and features specific to a particular database.
  • recommend avoiding SQL initially if possible and then introducing it only when necessary
  • benefits of SQL query support is that it uses the same Query interface used for JP QL queries. With some small exceptions that will be described later, all the Query interface operations discussed in previous chapters apply equally to both JP QL and SQL queries.
  • keep application code consistent because it needs to concern itself only with the EntityManager and Query interfaces.
  • An unfortunate result of adding the TypedQuery interface in JPA 2.0 is that the createNativeQuery() method was already defined in JPA 1.0 to accept a SQL string and a result class and return an untyped Query interface
  • consequence is that when the createNativeQuery() method is called with a result class argument one might mistakenly think it will produce a TypedQuery, like createQuery() and createNamedQuery() do when a result class is passed in.
  • @NamedNativeQuery
  • resultClass=Employee.class
  • The fact that the named query was defined using SQL instead of JP QL is not important to the caller
  • SQL Result Set Mapping
  • JPA provides SQL result set mappings to handle these scenarios
  • A SQL result set mapping is defined using the @SqlResultSetMapping annotation. It may be placed on an entity class and consists of a name (unique within the persistence unit) and one or more entity and column mappings.
  • entities=@EntityResult(entityClass=Employee.class)
  • @SqlResultSetMapping
  • Multiple Result Mappings
  • A query may return more than one entity at a time
  • The SQL result set mapping to return both the Employee and Address entities out of this query
  • emp_id, name, salary, manager_id, dept_id
  • address_id, id, street, city, state, zip
  • order in which the entities are listed is not important
  • ntities={@EntityResult(entityClass=Employee.class), @EntityResult(entityClass=Address.class)}
  • expected result type and therefore received an instance of TypedQuery that is bound to the expected type. By qualifying the result type in this way, the getResultList() and getSingleResult() methods return the correct types without the need for casting.
  • Defining a Class for Use in a Constructor Expression
  • public EmpMenu(String employeeName, String departmentName)
  • List<EmpMenu>
  • NEW example.EmpMenu(" + "e.name, e.department.name)
  • EmpMenu.class
  • createNamedQuery() can return a TypedQuery whereas the createNativeQuery() method returns an untyped Query
  • List<Employee>
  • createNamedQuery("orgStructureReportingTo", Employee.class)
kuni katsuya

Chapter 15. Data Management - 1 views

  •  abstractEntity.uid();
    • kuni katsuya
       
      sets the uid before persist
  •  UUID.randomUUID().toString();
  • AbstractEntity 
  • ...70 more annotations...
  • @MappedSuperclass
  • Important things on ID/UID
  • entity lives in three layers:
  • Flex client
  • JPA persistence context
  • database
  • When updating existing entities coming from the database
  • id is defined and is maintained in the three layers during the different serialization/persistence operations
  • when a new entity is being created in any of the two upper layers (Flex/JPA)
  • new entity has no id until it has been persisted to the database
  • most common solution is to
  • have a second persisted id, the uid
  • which is created by the client and persisted along with the entity
  • recommended approach to avoid any kind of subtle problems is to have a real uid property which will be persisted in the database but is not a primary key for efficiency concerns
  • You can now ask Tide to
  • limit the object graph before sending it
  • Flex with the following API :
  • EntityGraphUnintializer
  • uninitializeEntityGraph
  • Person object will be uninitialized
  • uperson contains
  • only the minimum of data
  • to correctly merge your changes in the server persistence context
  • Tide uses the
  • client data tracking
  • to determine which parts of the graph need to be sent
  • Calling the EntityGraphUninitializer manually is a bit tedious and ugly, so there is a cleaner possibility when you are using generated typesafe service proxies
  • annotate your service method arguments with @org.granite.tide.data.Lazy :
  • @Lazy
  • take care that you have added the [Lazy] annotation to your Flex metadata compilation configuration
  • in the Flex application, register the UninitializeArgumentPreprocessor component in Tide as follows :
  • [UninitializeArgumentPreprocessor]
  • all calls to PersonService.save() will
  • automatically use a properly uninitialized version
  • of the person argument.
  • 15.4. Dirty Checking and Conflict Handling
  • simplify the handling of data between Flex and Java EE
  • Chapter 15. Data Management
  • Tide maintains a client-side cache of entity instances and ensures that every instance is unique in the Flex client context
  •  uid().hashCode();
  • Tide currently only supports Integer or Long version fields, not timestamps and that the field must be nullable
  • in a multi-tier environment (@Version annotation)
  • highly recommended to use
  • JPA optimistic locking
  • highly recommended to add a
  • persistent uid field
  • AbstractEntity
  • in general this identifier will be
  • initialized from Flex
  • @Column(name="ENTITY_UID", unique=true, nullable=false, updatable=false, length=36)     private String uid;
  • @Version     private Integer version;
  • uid().equals(((AbstractEntity)o).uid())
  • consistent identifier through all application layers
  • @PrePersist
  • 15.3. Reverse Lazy Loading
  • 15.4. Dirty Checking and Conflict Handling
  • 15.4. Dirty Checking and Conflict Handling
  • 15.4. Dirty Checking and Conflict Handling
  • Dirty Checking and Conflict Handling
  • entity instance can be in two states :
  • Stable
  • Dirty
  • property meta_dirty is
  • bindable
  • could be used
  • to enable/disable a Save button
  • correct way of knowing if any object has been changed in the context, is to use the property meta_dirty of the Tide context
  • tideContext.meta_dirty
  • reliable when using optimistic locking
  • check that its @Version field has been incremented
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