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Often, there are too few validation routines in the database because many developers trust the validation that is done before the data actually arrives in the database. This chapter covers what type of validation you can perform in the database and how you can implement it, as well as the key aspects of error handling and how to send messages back to the calling application. All examples in this chapter reference objects in a schema called Test. You can create this schema simply by executing the statement CREATE SCHEMA Test; .

6. Select Use Local Computer Counters. 7. By using the Add Counters dialog box, read the explanation of the counters pre sented in Table 1-2 and then add them individually.

Exam objectives in this chapter:

You want SQL Server to propagate incremental changes to Subscribers as they occur. The application requires low latency (the amount of time that elapses between a transaction being committed at the Publisher and the corresponding transaction being committed at the Subscriber). The application requires access to intermediate data states. For example, if a row changes several times, transactional replication allows an application to respond to each change (by, for example, firing a trigger) rather than implement an update only once at the Publisher to reflect the net data change. The Publisher has a high volume of insert, update, and delete activity. The Publisher or Subscriber is a non SQL Server database, such as Oracle.

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Table 1-2

Table 1-2

Design code that validates input data and permissions. Design code that detects and reacts to errors. Design user-defined messages to communicate application events.

8. In the Add Counters dialog box, click Close. 9. In the SQL Server Performance Counters dialog box, click the Schedule tab. 10. In the Start Log area, select Manually. 11. Click OK. By default, the Performance console stores counter logs in the C:\PerfLogs folder. If you are prompted to create this folder, click Yes. In the Performance console, a new log named SQL Server Performance Counters appears in the details pane when you select Counters Logs. 12. Right-click the SQL Server Performance Counters log and then choose Start. The log turns green to signify that it is running and gathering statistics. 13. After a minute, right-click the SQL Server Performance Counters log and select Save Settings As. 14. Click Save to save the data in the default location with the default file name. 15. In the Performance console, right-click the SQL Server Performance Counters log and then choose Stop. 16. In My Documents, open the SQL Server Performance Counters.HTM file. (If prompted, choose to allow the blocked content.) 17. Spend a minute browsing the data collected in the HTM file. Experiment with different graph settings in the properties to see how they affect the presentation of data. Note the averages, highs, and lows given for all of the counters selected. 18. Close the SQL Server Performance Counters HTM file. 19. Close the Performance console.

When a designer creates a database, he or she should define that database by using an adequate file size. Generous initial file sizes and adequate disk space reduce the chance that databases will run out of space and cause performance to degrade temporarily while they resize. The file size specified for a database depends on the estimated number of subscribers, subscriptions, events, and notifications that the instance and the application will support. The DBA, on the other hand, is concerned with administering databases and resolving issues related to database size and out-of-space issues. Nevertheless, to understand why a database can experience space issues, you need to know about database structure.

company. Then read the questions associated with this case scenario. There are approximately 10 questions for each scenario. On the next pass, pick out details that will help you answer the questions. Note portions of the case scenario that relate to specific questions. It will be necessary to read the scenarios thoroughly and to absorb as much information as possible rather than reading only the sections that you think are relevant.

Capacity planning is the process of managing current hardware capacity and predicting hardware needs. Sizing involves anticipating the hardware you will need to process a given workload.

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