A {@link Relationship#ONE_TO_ONE ONE_TO_ONE} relationship, although lesscommon than other types of relationships, is the simplest type of relationship. A single entity is related to a single secondary key value. For example:
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=ONE_TO_ONE)}String ssn; String name; private Employee() {} } {@code SecondaryIndex} employeeBySsn =store.getSecondaryIndex(primaryIndex, String.class, "ssn"); With a {@link Relationship#ONE_TO_ONE ONE_TO_ONE} relationship, thesecondary key must be unique; in other words, no two entities may have the same secondary key value. If an attempt is made to store an entity having the same secondary key value as another existing entity, a {@link DatabaseException} will be thrown.
Because the secondary key is unique, it is useful to lookup entities by secondary key using {@link EntityIndex#get}. For example:
Employee employee = employeeBySsn.get(mySsn);
A {@link Relationship#MANY_TO_ONE MANY_TO_ONE} relationship is the mostcommon type of relationship. One or more entities is related to a single secondary key value. For example:
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=MANY_TO_ONE)}String department; String name; private Employee() {} } {@code SecondaryIndex} employeeByDepartment =store.getSecondaryIndex(primaryIndex, String.class, "department"); With a {@link Relationship#MANY_TO_ONE MANY_TO_ONE} relationship, thesecondary key is not required to be unique; in other words, more than one entity may have the same secondary key value. In this example, more than one employee may belong to the same department.
The most convenient way to access the employees in a given department is by using a sub-index. For example:
{@code EntityIndex} subIndex = employeeByDepartment.subIndex(myDept);{@code EntityCursor} cursor = subIndex.entities();try { for (Employee entity : cursor) { // Do something with the entity... } } finally { cursor.close(); } In a {@link Relationship#ONE_TO_MANY ONE_TO_MANY} relationship, a singleentity is related to one or more secondary key values. For example:
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=ONE_TO_MANY)}{@literal Set emailAddresses = new HashSet;}String name; private Employee() {} } {@code SecondaryIndex} employeeByEmail =store.getSecondaryIndex(primaryIndex, String.class, "emailAddresses"); With a {@link Relationship#ONE_TO_MANY ONE_TO_MANY} relationship, thesecondary key must be unique; in other words, no two entities may have the same secondary key value. In this example, no two employees may have the same email address. If an attempt is made to store an entity having the same secondary key value as another existing entity, a {@link DatabaseException} will be thrown.
Because the secondary key is unique, it is useful to lookup entities by secondary key using {@link EntityIndex#get}. For example:
Employee employee = employeeByEmail.get(myEmailAddress);
The secondary key field for a {@link Relationship#ONE_TO_MANY ONE_TO_MANY} relationship must be an array or collection type. To accessthe email addresses of an employee, simply access the collection field directly. For example:
Employee employee = primaryIndex.get(1); // Get the entity by primary key employee.emailAddresses.add(myNewEmail); // Add an email address primaryIndex.putNoReturn(1, employee); // Update the entity
In a {@link Relationship#MANY_TO_MANY MANY_TO_MANY} relationship, oneor more entities is related to one or more secondary key values. For example:
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=MANY_TO_MANY)}{@literal Set organizations = new HashSet;}String name; private Employee() {} } {@code SecondaryIndex} employeeByOrganization =store.getSecondaryIndex(primaryIndex, String.class, "organizations"); With a {@link Relationship#MANY_TO_MANY MANY_TO_MANY} relationship, thesecondary key is not required to be unique; in other words, more than one entity may have the same secondary key value. In this example, more than one employee may belong to the same organization.
The most convenient way to access the employees in a given organization is by using a sub-index. For example:
{@code EntityIndex} subIndex = employeeByOrganization.subIndex(myOrg);{@code EntityCursor} cursor = subIndex.entities();try { for (Employee entity : cursor) { // Do something with the entity... } } finally { cursor.close(); } The secondary key field for a {@link Relationship#MANY_TO_MANY MANY_TO_MANY} relationship must be an array or collection type. To accessthe organizations of an employee, simply access the collection field directly. For example:
Employee employee = primaryIndex.get(1); // Get the entity by primary key employee.organizations.remove(myOldOrg); // Remove an organization primaryIndex.putNoReturn(1, employee); // Update the entity
In all the examples above the secondary key is treated only as a simple value, such as a {@code String} department field. In many cases, that issufficient. But in other cases, you may wish to constrain the secondary keys of one entity class to be valid primary keys of another entity class. For example, a Department entity may also be defined:
{@literal @Entity}class Department { {@literal @PrimaryKey}String name; String missionStatement; private Department() {} } You may wish to constrain the department field values of the Employee class in the examples above to be valid primary keys of the Department entity class. In other words, you may wish to ensure that the department field of an Employee will always refer to a valid Department entity.
You can implement this constraint yourself by validating the department field before you store an Employee. For example:
{@code PrimaryIndex} departmentIndex =store.getPrimaryIndex(String.class, Department.class); void storeEmployee(Employee employee) throws DatabaseException { if (departmentIndex.contains(employee.department)) { primaryIndex.putNoReturn(employee); } else { throw new IllegalArgumentException("Department does not exist: " + employee.department); } } Or, instead you could define the Employee department field as a foreign key, and this validation will be done for you when you attempt to store the Employee entity. For example:
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=MANY_TO_ONE, relatedEntity=Department.class)}String department; String name; private Employee() {} } The {@code relatedEntity=Department.class} above defines the departmentfield as a foreign key that refers to a Department entity. Whenever a Employee entity is stored, its department field value will be checked to ensure that a Department entity exists with that value as its primary key. If no such Department entity exists, then a {@link DatabaseException} isthrown, causing the transaction to be aborted (assuming that transactions are used).
This begs the question: What happens when a Department entity is deleted while one or more Employee entities have department fields that refer to the deleted department's primary key? If the department were allowed to be deleted, the foreign key constraint for the Employee department field would be violated, because the Employee department field would refer to a department that does not exist.
By default, when this situation arises the system does not allow the department to be deleted. Instead, a {@link DatabaseException} is thrown,causing the transaction to be aborted. In this case, in order to delete a department, the department field of all Employee entities must first be updated to refer to a different existing department, or set to null. This is the responsibility of the application.
There are two additional ways of handling deletion of a Department entity. These alternatives are configured using the {@link SecondaryKey#onRelatedEntityDelete} annotation property. Setting thisproperty to {@link DeleteAction#NULLIFY} causes the Employee departmentfield to be automatically set to null when the department they refer to is deleted. This may or may not be desirable, depending on application policies. For example:
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; {@code @SecondaryKey(relate=MANY_TO_ONE, relatedEntity=Department.class,onRelatedEntityDelete=NULLIFY)}String department; String name; private Employee() {} } The {@link DeleteAction#CASCADE} value, on the other hand, causes theEmployee entities to be automatically deleted when the department they refer to is deleted. This is probably not desirable in this particular example, but is useful for parent-child relationships. For example:
{@literal @Entity}class Order { {@literal @PrimaryKey}long id; String description; private Order() {} } {@literal @Entity}class OrderItem { {@literal @PrimaryKey}long id; {@code @SecondaryKey(relate=MANY_TO_ONE, relatedEntity=Order.class,onRelatedEntityDelete=CASCADE)}long orderId; String description; private OrderItem() {} } The OrderItem orderId field refers to its "parent" Order entity. When an Order entity is deleted, it may be useful to automatically delete its "child" OrderItem entities.
For more information, see {@link SecondaryKey#onRelatedEntityDelete}.
When there is a conceptual Many-to-One relationship such as Employee to Department as illustrated in the examples above, the relationship may be implemented either as Many-to-One in the Employee class or as One-to-Many in the Department class.
Here is the Many-to-One approach.
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=MANY_TO_ONE, relatedEntity=Department.class)}String department; String name; private Employee() {} } {@literal @Entity}class Department { {@literal @PrimaryKey}String name; String missionStatement; private Department() {} } And here is the One-to-Many approach.
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; String name; private Employee() {} } {@literal @Entity}class Department { {@literal @PrimaryKey}String name; String missionStatement; {@literal @SecondaryKey(relate=ONE_TO_MANY, relatedEntity=Employee.class)}{@literal Set employees = new HashSet;}private Department() {} } Which approach is best? The Many-to-One approach better handles large number of entities on the to-Many side of the relationship because it doesn't store a collection of keys as an entity field. With Many-to-One a Btree is used to store the collection of keys and the Btree can easily handle very large numbers of keys. With One-to-Many, each time a related key is added or removed the entity on the One side of the relationship, along with the complete collection of related keys, must be updated. Therefore, if large numbers of keys may be stored per relationship, Many-to-One is recommended.
If the number of entities per relationship is not a concern, then you may wish to choose the approach that is most natural in your application data model. For example, if you think of a Department as containing employees and you wish to modify the Department object each time an employee is added or removed, then you may wish to store a collection of Employee keys in the Department object (One-to-Many).
Note that if you have a One-to-Many relationship and there is no related entity, then you don't have a choice -- you have to use One-to-Many because there is no entity on the to-Many side of the relationship where a Many-to-One key could be defined. An example is the Employee to email addresses relationship discussed above:
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=ONE_TO_MANY)}{@literal Set emailAddresses = new HashSet;}String name; private Employee() {} } For sake of argument imagine that each employee has thousands of email addresses and employees frequently add and remove email addresses. To avoid the potential performance problems associated with updating the Employee entity every time an email address is added or removed, you could create an EmployeeEmailAddress entity and use a Many-to-One relationship as shown below:
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; String name; private Employee() {} } {@literal @Entity}class EmployeeEmailAddress { {@literal @PrimaryKey}String emailAddress; {@literal @SecondaryKey(relate=MANY_TO_ONE, relatedEntity=Employee.class)}long employeeId; private EmployeeEmailAddress() {} } As discussed in the section above, one drawback of a to-Many relationship (One-to-Many was discussed above and Many-to-Many is discussed here) is that it requires storing a collection of keys in an entity. Each time a key is added or removed, the containing entity must be updated. This has potential performance problems when there are large numbers of entities on the to-Many side of the relationship, in other words, when there are large numbers of keys in each secondary key field collection.
If you have a Many-to-Many relationship with a reasonably small number of entities on one side of the relationship and a large number of entities on the other side, you can avoid the potential performance problems by defining the secondary key field on the side with a small number of entities.
For example, in an Employee-to-Organization relationship, the number of organizations per employee will normally be reasonably small but the number of employees per organization may be very large. Therefore, to avoid potential performance problems, the secondary key field should be defined in the Employee class as shown below.
{@literal @Entity}class Employee { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=MANY_TO_MANY, relatedEntity=Organization.class)}{@literal Set organizations = new HashSet;}String name; private Employee() {} } {@literal @Entity}class Organization { {@literal @PrimaryKey}String name; String description; } If instead a {@code Set
If you have a Many-to-Many relationship with a large number of entities on both sides of the relationship, you can avoid the potential performance problems by using a relationship entity. A relationship entity defines the relationship between two other entities using two Many-to-One relationships.
Imagine a relationship between cars and trucks indicating whenever a particular truck was passed on the road by a particular car. A given car may pass a large number of trucks and a given truck may be passed by a large number of cars. First look at a Many-to-Many relationship between these two entities:
{@literal @Entity}class Car { {@literal @PrimaryKey}String licenseNumber; {@literal @SecondaryKey(relate=MANY_TO_MANY, relatedEntity=Truck.class)}{@literal Set trucksPassed = new HashSet;}String color; private Car() {} } {@literal @Entity}class Truck { {@literal @PrimaryKey}String licenseNumber; int tons; private Truck() {} } With the Many-to-Many approach above, the {@code trucksPassed} set couldpotentially have a large number of elements and performance problems could result.
To apply the relationship entity approach we define a new entity class named CarPassedTruck representing a single truck passed by a single car. We remove the secondary key from the Car class and use two secondary keys in the CarPassedTruck class instead.
{@literal @Entity}class Car { {@literal @PrimaryKey}String licenseNumber; String color; private Car() {} } {@literal @Entity}class Truck { {@literal @PrimaryKey}String licenseNumber; int tons; private Truck() {} } {@literal @Entity}class CarPassedTruck { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=MANY_TO_ONE, relatedEntity=Car.class)}String carLicense; {@literal @SecondaryKey(relate=MANY_TO_ONE, relatedEntity=Truck.class)}String truckLicense; private CarPassedTruck() {} } The CarPassedTruck entity can be used to access the relationship by car license or by truck license.
You may use the relationship entity approach because of the potential performance problems mentioned above. Or, you may choose to use this approach in order to store other information about the relationship. For example, if for each car that passes a truck you wish to record how much faster the car was going than the truck, then a relationship entity is the logical place to store that property. In the example below the speedDifference property is added to the CarPassedTruck class.
{@literal @Entity}class CarPassedTruck { {@literal @PrimaryKey}long id; {@literal @SecondaryKey(relate=MANY_TO_ONE, relatedEntity=Car.class)}String carLicense; {@literal @SecondaryKey(relate=MANY_TO_ONE, relatedEntity=Truck.class)}String truckLicense; int speedDifference; private CarPassedTruck() {} } Be aware that the relationship entity approach adds overhead compared to Many-to-Many. There is one additional entity and one additional secondary key. These factors should be weighed against its advantages and the relevant application access patterns should be considered.
@author Mark Hayes | |
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