public class FetchConfig extends Object implements Serializable
The primary goal is to provide efficient ways of loading complex object graphs avoiding SQL Cartesian product and issues around populating object graphs that have multiple *ToMany relationships.
It also provides the ability to control the lazy loading queries (batch size, selected properties and fetches) to avoid N+1 queries etc.
There can also be cases loading across a single OneToMany where 2 SQL queries using Ebean FetchConfig.query() can be more efficient than one SQL query. When the "One" side is wide (lots of columns) and the cardinality difference is high (a lot of "Many" beans per "One" bean) then this can be more efficient loaded as 2 SQL queries.
// Normal fetch join results in a single SQL query
List<Order> list = Ebean.find(Order.class).fetch("details").findList();
// Find Orders join details using a single SQL query
Example: Using a "query join" instead of a "fetch join" we instead use 2 SQL queries
// This will use 2 SQL queries to build this object graph
List<Order> list =
Ebean.find(Order.class)
.fetch("details", new FetchConfig().query())
.findList();
// query 1) find order
// query 2) find orderDetails where order.id in (?,?...) // first 100 order id's
Example: Using 2 "query joins"
// This will use 3 SQL queries to build this object graph
List<Order> list =
Ebean.find(Order.class)
.fetch("details", new FetchConfig().query())
.fetch("customer", new FetchConfig().queryFirst(5))
.findList();
// query 1) find order
// query 2) find orderDetails where order.id in (?,?...) // first 100 order id's
// query 3) find customer where id in (?,?,?,?,?) // first 5 customers
Example: Using "query joins" and partial objects
// This will use 3 SQL queries to build this object graph
List<Order> list =
Ebean.find(Order.class)
.select("status, shipDate")
.fetch("details", "quantity, price", new FetchConfig().query())
.fetch("details.product", "sku, name")
.fetch("customer", "name", new FetchConfig().queryFirst(5))
.fetch("customer.contacts")
.fetch("customer.shippingAddress")
.findList();
// query 1) find order (status, shipDate)
// query 2) find orderDetail (quantity, price) fetch product (sku, name) where
// order.id in (?,? ...)
// query 3) find customer (name) fetch contacts (*) fetch shippingAddress (*)
// where id in (?,?,?,?,?)
// Note: the fetch of "details.product" is automatically included into the
// fetch of "details"
//
// Note: the fetch of "customer.contacts" and "customer.shippingAddress"
// are automatically included in the fetch of "customer"
You can use query() and lazy together on a single join. The query is executed immediately and the lazy defines the batch size to use for further lazy loading (if lazy loading is invoked).
List<Order> list =
Ebean.find(Order.class)
.fetch("customer", new FetchConfig().query(10).lazy(5))
.findList();
// query 1) find order
// query 2) find customer where id in (?,?,?,?,?,?,?,?,?,?) // first 10 customers
// .. then if lazy loading of customers is invoked
// .. use a batch size of 5 to load the customers
Example of controlling the lazy loading query:
This gives us the ability to optimise the lazy loading query for a given use case.
List<Order> list = Ebean.find(Order.class)
.fetch("customer","name", new FetchConfig().lazy(5))
.fetch("customer.contacts","contactName, phone, email")
.fetch("customer.shippingAddress")
.where().eq("status",Order.Status.NEW)
.findList();
// query 1) find order where status = Order.Status.NEW
//
// .. if lazy loading of customers is invoked
// .. use a batch size of 5 to load the customers
Constructor and Description |
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FetchConfig()
Construct the fetch configuration object.
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Modifier and Type | Method and Description |
---|---|
boolean |
equals(Object o) |
int |
getLazyBatchSize()
Return the batch size for lazy loading.
|
int |
getQueryBatchSize()
Return the batch size for separate query load.
|
int |
hashCode() |
boolean |
isQueryAll()
Return true if the query fetch should fetch 'all' rather than just the
'first' batch.
|
FetchConfig |
lazy()
Specify that this path should be lazy loaded using the default batch load
size.
|
FetchConfig |
lazy(int lazyBatchSize)
Specify that this path should be lazy loaded with a specified batch size.
|
FetchConfig |
query()
Eagerly fetch the beans in this path as a separate query (rather than as
part of the main query).
|
FetchConfig |
query(int queryBatchSize)
Eagerly fetch the beans in this path as a separate query (rather than as
part of the main query).
|
FetchConfig |
queryFirst(int queryBatchSize)
Eagerly fetch the first batch of beans on this path.
|
public FetchConfig()
public FetchConfig lazy()
public FetchConfig lazy(int lazyBatchSize)
lazyBatchSize
- the batch size for lazy loadingpublic FetchConfig query()
This will use the default batch size for separate query which is 100.
public FetchConfig query(int queryBatchSize)
The queryBatchSize is the number of parent id's that this separate query will load per batch.
This will load all beans on this path eagerly unless a lazy(int)
is also used.
queryBatchSize
- the batch size used to load beans on this pathpublic FetchConfig queryFirst(int queryBatchSize)
query(int)
but only fetches the first batch.
If there are more parent beans than the batch size then they will not be loaded eagerly but instead use lazy loading.
queryBatchSize
- the number of parent beans this path is populated forpublic int getLazyBatchSize()
public int getQueryBatchSize()
public boolean isQueryAll()
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