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Many small objects make sense in an OO system that don’t make sense as
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tables in a database. An Embedded Value maps the values of an object to fields in the record of the object’s owner.
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The Embedded Value design pattern aims to enhance performance and reduce memory overhead by storing frequently accessed immutable data directly within the object that uses it, rather than separately.
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## Explanation
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Real-world example
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> Examples include currency-aware money objects and date
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ranges. Although the default thinking is to save an object as a table, no sane person would want a table of money values.
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> Another example would be the online orders which have a shipping address like street, city, state. We map these values of Shipping address object to fields in record of Order object.
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> In a library, the reference desk embeds commonly used resources like dictionaries and encyclopedias directly at the desk for quick and easy access, similar to how the Embedded Value design pattern integrates frequently used data directly within an object for efficiency.
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In plain words
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> Embedded value pattern let's you map an object into several fields of another object’s table.
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**Programmatic Example**
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Consider online order's example where we have details of item ordered and shipping address. We have Shipping address embedded in Order object. But in database we map shipping address values in Order record instead of creating a separate table for Shipping address and using foreign key to reference the order object.
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Consider an online ordering example where we have details of item ordered and shipping address. We have Shipping address embedded in Order object. But in database we map shipping address values in Order record instead of creating a separate table for Shipping address and using foreign key to reference the order object.
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First, we have POJOs `Order` and `ShippingAddress`
var affectedRows=insertIntoOrders.executeUpdate();
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if(affectedRows==1) {
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Logger.info("Inserted successfully");
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}else{
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Logger.info("Couldn't insert "+order);
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}else{
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Logger.info("Couldn't insert "+order);
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}
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}
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```
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## Class diagram
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## Applicability
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Use the Embedded value pattern when
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Use the Embedded value pattern when:
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*Many small objects make sense in an OO system that don’t make sense as tables in a database.
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*The simplest cases forEmbeddedValue are the clear, simple ValueObjects like money and date range.
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*If you’re mapping to an existing schema, you can use this pattern when a table contains data that you want to split into more than one object in memory. This can occur when you want to factor out some behaviour in object model.
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*In most cases you’ll only use EmbeddedValue on a reference object when the association between them is single valued at both ends (a one-to-one association).
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*It can only be used for fairly simple dependents. A solitary dependent, or a few separated dependents, works well.
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* An application requires high performance and the data involved is immutable.
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* Memory footprint reduction is critical, especially in environments with limited resources.
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* Objects frequently access a particular piece of immutable data.
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## Tutorials
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@@ -111,14 +125,22 @@ Use the Embedded value pattern when
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## Consequences
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* The great advantage of Embedded Value is that it allows SQL queries to be made against the values in the dependent object.
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* The embedded value object has no persistence behaviour at all.
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* While using this, you have to be careful that any change to the dependent marks the owner as dirty—which isn’t an issue with Value Objects that are replaced in the owner.
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* Another issue is the loading and saving. If you only load the embedded object memory when you load the owner, that’s an argument for saving both in the same table.
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* Another question is whether you’ll want to access the embedded objects' data separately through SQL. This can be important if you’re reporting through SQL and don’t have a separate database for reporting.
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Benefits:
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* Reduces the memory overhead by avoiding separate allocations for immutable data.
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* Improves performance by minimizing memory accesses and reducing cache misses.
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Trade-offs:
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* Increases complexity in object design and can lead to tightly coupled systems.
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* Modifying the embedded value necessitates changes across all objects that embed this value, which can complicate maintenance.
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## Related Patterns
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[Flyweight](https://java-design-patterns.com/patterns/flyweight/): Shares objects to support large quantities using a minimal amount of memory, somewhat similar in intent but different in implementation.
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[Singleton](https://java-design-patterns.com/patterns/singleton/): Ensures a class has only one instance and provides a global point of access to it, can be used to manage a shared embedded value.
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## Credits
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* [Fowler, Martin-Patterns of enterprise application architecture-Addison-Wesley](https://www.amazon.com/Patterns-Enterprise-Application-Architecture-Martin/dp/0321127420)
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