Data access patterns: database interactions in by Clifton Nock

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By Clifton Nock

Effective, top of the range info entry code is essential to the functionality and value of just about any firm application-and there isn't any larger method to enhance an latest method than to optimize its information entry code. despite database engine, platform, language, or software, builders again and again come across a similar relational database entry demanding situations. In information entry styles, Clifton Nock identifies 25 confirmed strategies, featuring every one within the type of a transparent, easy-to-use trend. those styles resolve an extremely wide selection of difficulties together with growing effective database-independent functions, hiding vague database semantics from clients, rushing database source initialization, simplifying improvement and upkeep, enhancing help for concurrency and transactions, and taking away information entry bottlenecks.

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This process requires the following database operations: 1. Get a list of all employees for whom expense reimbursements are due. 2. For each employee in this list, get a list of active expenses reported. 3. Issue the employee a check for the total. 4. Reset the employee's expense status. 5. Delete the employee's active expense records. The application logic for this process is straightforward. It does not stray much from the steps listed here. However, its code has the potential to be the opposite.

Public class CustomerList { private static final String QUERY = "SELECT * FROM CUSTOMERS"; private List contents = new LinkedList(); /** Constructs a CustomerList object that represents every customer in the database. close(); } catch(SQLException e) { throw new DataException( "Unable to read customer list", e); } } /** Returns an iterator that lists every customer in the list. iterator(); } } This block illustrates application code that issues catalogs to every customer in the database. Notice again that this code was written exclusively in terms of active domain objects.

If the model's inconsistencies are just a cosmetic problem and the tables are not lacking any functional or relational information, then changing the data model may not be the best decision. 1. The CUSTOMERS and EMPLOYEES tables and the domain objects that model them. 46 Part 1: Decoupling Patterns Part 1: Decoupling Patterns 47 You can choose to access these tables directly within application code whenever application logic dictates a need for them. However, the data model's inconsistencies will quickly spread throughout the application code.

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