Getting Startedwith pureQuery

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82 Getting Started with pureQuery Figure 4.8 - Database Packages Page 4.2.4 Enhanced impact analysis within database applications With the SQL Outline, you can gain insight into what parts of your application use certain tables, columns or views by determining the objects referenced in the statements. The database design often goes through changes during the application development stage. The inability to gain insight into many different areas of an application can make simple changes to a schema or a table a risky operation, as those changes may adversely affect other parts of the application without the knowledge of the user. The impact analysis features of the pureQuery tooling help DBAs and developers to work together to come up with database changes that would have the least impact on an application, thus mitigating risks. In the Database page, for example, you can gain insight into how much your application might need to change if a given table or view were to change. By expanding the table, you can gain insight into all the SQL statements affected and their location within your application. In the case of a change in a table’s column, such as a name change or simply by dropping it, you can use the SQL Outline filter and provide the name of the affected column to view all the affected statements. The filter can either be invoked by right-clicking anywhere on the SQL Outline and selecting Filter… from the context menu or by clicking on the inverted triangle on the toolbar and selecting Filter… For example, if you want to assess which statements are impacted by dropping the BONUS column on the EMPLOYEE table to then go to the application and change the code where necessary, you would use the filter as shown in Figure 4.9. You can see the statements that use the BONUS column only and narrow down to the specific place where those
Chapter 4 – pureQuery tooling views 83 statements where executed within your application to make appropriate changes as a result of dropping the column. Figure 4.9 - Assessing the impact analysis of dropping a column within an application The filter also includes settings to filter statements by types such as SELECT, UPDATE, MERGE as well as provides you the ability to search for text within the SQL statement in the form of a regular expression that conforms to the Java Pattern class. 4.3 Designing and binding packages for static SQL development ODS, through its pureQuery tooling, makes static SQL development and deployment easy by providing you with tools to design, deploy and test database packages effectively on several database from test to production.
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G E T T I N G S T A R T E D W I T H
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Notices This information was develo
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Trademarks IBM, the IBM logo, DB2,
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1 Chapter 1 - Introduction to pureQ
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A Appendix A - Solutions to the rev
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Resources Web sites 1. pureQuery pl
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