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java.lang.Object com.avaje.ebean.FetchConfig
public class FetchConfig
Defines the configuration options for a "query fetch" or a "lazy loading fetch". This gives you the ability to use multiple smaller queries to populate an object graph as opposed to a single large query.
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).join("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 JoinConfig().query()) .fetch("customer", new JoinConfig().query(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().query(10)) .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(3).lazy(10)) .findList(); // query 1) find order // query 2) find customer where id in (?,?,?) // first 3 customers // .. then if lazy loading of customers is invoked // .. use a batch size of 10 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 find customer (name) fetch contact (contactName, phone, email) fetch shippingAddress (*) where id in (?,?,?,?,?)
Constructor Summary | |
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FetchConfig()
Construct the fetch configuration object. |
Method Summary | |
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int |
getLazyBatchSize()
Return the batch size for lazy loading. |
int |
getQueryBatchSize()
Return the batch size for separate query load. |
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()
Specify that this path should be loaded as a separate query (rather than as part of the main query). |
FetchConfig |
query(int queryBatchSize)
Specify that this path should be loaded as a separate query (rather than as part of the main query). |
FetchConfig |
queryFirst(int queryBatchSize)
Similar to query(int) but only fetches the first batch. |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public FetchConfig()
Method Detail |
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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.
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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