at-m42:lecture14
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* If you have a pool of connections you'd want to release your connection (returning it to the pool) when you've finished. | * If you have a pool of connections you'd want to release your connection (returning it to the pool) when you've finished. | ||
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- | ====== Simplified Queries with Groovy ===== | + | ===== Simplified Queries with Groovy ===== |
+ | |||
<code groovy 1|Example 2; Database lookup in Groovy (at-m42/ | <code groovy 1|Example 2; Database lookup in Groovy (at-m42/ | ||
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===== Persistence Patterns: Transaction script ===== | ===== Persistence Patterns: Transaction script ===== | ||
In many applications it is natural to work directly with the relational model, issuing SQL queries and parsing result sets. | In many applications it is natural to work directly with the relational model, issuing SQL queries and parsing result sets. | ||
- | * This is known as the // | + | * This is known as the // |
* Direct use of SQL is also well suited for aggregating queries and set-based updates (accessing large amounts of data or updating many tables in the same transaction) | * Direct use of SQL is also well suited for aggregating queries and set-based updates (accessing large amounts of data or updating many tables in the same transaction) | ||
+ | |||
===== Persistence Patterns: ORM ===== | ===== Persistence Patterns: ORM ===== | ||
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* Better to use an existing framework. Many available! | * Better to use an existing framework. Many available! | ||
* All implement //Data Mapper//, //Query Object// and //Unit of Work// patterns to provide **Transparent Persistence** for Java objects. | * All implement //Data Mapper//, //Query Object// and //Unit of Work// patterns to provide **Transparent Persistence** for Java objects. | ||
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* The " | * The " | ||
- | * The Object/ | + | ===== The Object/ |
* For all but the simplest domain models, there is no direct match from relational database to object model. | * For all but the simplest domain models, there is no direct match from relational database to object model. | ||
- | * OO concepts such as class, polymorphism, | + | * OO concepts such as class, |
- | * RDMS concepts such as normalized data, sets and efficient access have no direct relationship in the OO world. | + | * RDMS concepts such as //normalized data//, //sets// and //efficient access// have no direct relationship in the OO world. |
- | * It’s best to keep the two worlds separate and in the domain of the experts. | + | * It's best to keep the two worlds separate and in the domain of the experts. |
- | * Use an ORM framework (if it’s appropriate) to provide the bridge between the two worlds. | + | * Use an ORM framework (if it's appropriate) to provide the bridge between the two worlds. |
- | * | + | ===== Some Issues that the Developers of an ORM Have to be Aware Of ===== |
- | * Some Issues that the Developers of an ORM Have to be Aware Of | + | * //Identity//: ensuring a record in a database is unique in a global sense. |
- | * Identity: ensuring a record in a database is unique in a global sense. | + | * //Instantiated objects should be cached//: avoids a further trip to the database if it is needed in two separate transactions. |
- | * Instantiated objects should be cached: avoids a further trip to the database if it is needed in two separate transactions. | + | * "Dirty" |
- | * "Dirty” objects (objects that have been created or changed in a transaction) have to be committed to the database in a single atomic operation. | + | |
* Objects that have not been changed do not need to be written back to the database. | * Objects that have not been changed do not need to be written back to the database. | ||
* Queries may result in large numbers of records being returned from a database: | * Queries may result in large numbers of records being returned from a database: | ||
- | | + | |
- | * However objects in the collection should not be instantiated unless it is needed. | + | * However objects in the collection should not be instantiated unless it is needed. |
- | * | + | ===== Choosing a Persistence Strategy |
- | * | + | |
- | * | + | |
- | * | + | |
- | * Choosing a Persistence Strategy | + | |
* Many enterprise applications need to use legacy databases, or share the database with other systems, so choices are limited! | * Many enterprise applications need to use legacy databases, or share the database with other systems, so choices are limited! | ||
* Despite the hype, it is rare for an enterprise to change its database supplier, so it is often not worth completely abstracting the details of a DBMS out of code. | * Despite the hype, it is rare for an enterprise to change its database supplier, so it is often not worth completely abstracting the details of a DBMS out of code. | ||
- | * It is worth providing a data access layer so that your business logic does not talk directly JDBC but goes through a set of Data Access Objects. | + | * It is worth providing a data access layer so that your business logic does not talk directly JDBC but goes through a set of //Data Access Objects//. |
- | * If the database schema changes, it will be in the access layer that changes will be needed, not in the business logic. | + | * If the database schema changes, it will be in the access layer that changes will be needed, not in the business logic. |
- | * If the business logic changes, again, persistence code changes are limited to the access layer. | + | * If the business logic changes, again, persistence code changes are limited to the access layer. |
- | | + | ===== Choosing a Persistence Strategy |
- | * In some applications with a limited number of simple tables it will be quickest to use active record and talk directly to the database. | + | * In some applications with a limited number of simple tables it will be quickest to use //active record// and talk directly to the database. |
- | * If the application will require heavy use of set access, aggregation of data from many tables, or batch updates in many rows, a direct implementation using transaction script may be most efficient. | + | * If the application will require heavy use of set access, aggregation of data from many tables, or batch updates in many rows, a direct implementation using //transaction script// may be most efficient. |
* ORM is a complex strategy which be of benefit only for complex domain models and or databases | * ORM is a complex strategy which be of benefit only for complex domain models and or databases | ||
- | * Choosing a Persistence Strategy | + | ===== Choosing a Persistence Strategy |
- | | + | ORM can be of benefit if: |
* Your application has the typical CRUD – create, retrieve, update, delete – workflow for domain objects. | * Your application has the typical CRUD – create, retrieve, update, delete – workflow for domain objects. | ||
* Objects are found in large sets but are updated and deleted individually. | * Objects are found in large sets but are updated and deleted individually. | ||
- | * A large number of objects exist but they are " | + | * A large number of objects exist but they are " |
* There is a natural mapping between classes and fields and database tables and records | * There is a natural mapping between classes and fields and database tables and records | ||
- | * There are no unusual requirements such as the need to used customized SQL optimizations. | + | * There are no unusual requirements such as the need to use customized SQL optimizations. |
* For Java programmers ORM has the advantage of keeping SQL out of the code. But that is why we have DB architects! | * For Java programmers ORM has the advantage of keeping SQL out of the code. But that is why we have DB architects! | ||
| | ||
+ | |||
===== Lecture Contents ===== | ===== Lecture Contents ===== | ||
- | | + | * [[#What is a Relational Database? |
* [[#The Trouble with Databases|JDBC -- Java database connectivity API]] | * [[#The Trouble with Databases|JDBC -- Java database connectivity API]] | ||
- | * [[Immortal Objects]] | + | * [[#Immortal Objects]] |
- | * [[Persistence Patterns]] | + | * [[#Persistence Patterns]] |
- | * [[Other forms of Enterprise Integration]] | + | |
| | ||
===== Other Forms of Enterprise Integration ===== | ===== Other Forms of Enterprise Integration ===== | ||
* Enterprise integration is not just about databases and SQL. | * Enterprise integration is not just about databases and SQL. | ||
- | * Enterprise information systems | + | * Enterprise |
+ | * Main technologies for this form of integration is the Java Connectivity API and Web Services. | ||
+ | * May not be talking Java so CORBA and similar technologies may come into play. | ||
+ | |||
+ | ---- | ||
+ | |||
+ | Some examples of enterprise | ||
* Human Resources Systems | * Human Resources Systems | ||
* Payroll systems | * Payroll systems | ||
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* Business to Business Systems | * Business to Business Systems | ||
* Enterprise communication systems | * Enterprise communication systems | ||
- | * Other " | + | * Other // |
- | | + | |
- | * Main technologies are the Java Connectivity API and Web Services. | + | |
- | * May not be talking Java so CORBA and similar technologies come into play. | + | |
===== Lecture Summary ===== | ===== Lecture Summary ===== | ||
* [[#What is a Relational Database? | * [[#What is a Relational Database? | ||
* [[#The Trouble with Databases|JDBC -- Java database connectivity API]] | * [[#The Trouble with Databases|JDBC -- Java database connectivity API]] | ||
- | * [[Immortal Objects]] | + | * [[#Immortal Objects]] |
- | * [[Persistence Patterns]] | + | * [[#Persistence Patterns]] |
- | * [[Other forms of Enterprise Integration]] | + | * [[#Other forms of Enterprise Integration]] |
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at-m42/lecture14.1240740007.txt.gz · Last modified: 2011/01/14 12:24 (external edit)