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A couple of years ago, we were teaching a SQL Server High Availability course. Three of the people in the class were from the same company. They were in the correct class because they needed to implement an availability solution. There was only one problem. Each of them arrived at the class expecting to be given a step-by-step formula so that they could go out and purchase high availability. It would be really nice if it were so simple. The problem with that approach is that the technology is 10 percent of the solution at most. High availability becomes possible by having people and processes in place to ensure that the technologies have the opportunity to function as they were designed and to ensure that the most appropriate technology is selected. You can install all the technology that you want to, and a power outage can take everything offline. Or someone accidentally rebooting a server might destroy your availability solution. Unless you analyze and understand all the things that can cause a database to become unavailable, you will have a very difficult time making everything work.

This lesson provides the foundation for understanding how to achieve high availabil ity. The documentation and considerations generated from within this chapter will form 90 percent of any high-availability solution that you will deploy.

After this lesson, you will be able to:

Analyze availability requirements. Analyze potential availability barriers. Analyze environmental issues. Analyze potential problems related to processes and staff. Identify potential single points of failure. Decide how quickly the database solution must fail over. Choose automatic or manual failback. Analyze costs versus benefits of various solutions.

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The most common measurement of availability is expressed as a number of 9s, which creates really nice buzzwords for a chief information officer (CIO), chief technical officer (CTO), or chief executive officer (CEO). However, it has very little actual basis in fact. Just because you aren t achieving five 9s of availability (99.999 percent) doesn t mean there is a problem. You could be dealing with an application that needs only 98.45 percent availability or one that needs 92.6 percent availability. The formula used to calculate availability is as follows, where A = Availability, F = Mean time between failures (MTBF), MR = Mean time to recognize, and R = Mean time to repair: A = (F (MR + R))/F The interesting thing about this formula is that you calculate availability based on fail ures and recovery. You do not have any control over failures they are simply going to happen and rarely provide any warning at all. However, you can influence the amount of time it takes to diagnose a problem, come up with a solution, and repair the system. You might be a bit puzzled at this point. This chapter is about high availability, and everyone knows that high availability is about keeping a system online. Unfortunately,

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return hr; } UI_HSBCOLOR CApplication::CRibbonColorSetter::ConvertRGBToHSB(COLORREF color) { WORD wHue, wLuminance, wSaturation; ColorRGBToHLS(color, &wHue, &wLuminance, &wSaturation); return UI_HSB( (BYTE)wHue, (BYTE)wSaturation, (BYTE)wLuminance); }

view, you must ensure that you keep the original source code somewhere because you cannot decrypt the definition. When you specify the SCHEMABINDING, any tables, views, or functions that are ref erenced by the view cannot be dropped without first dropping the view.

An old trick that many DBAs use in a production environment is to create a view for each table that selects all columns in the table and specifies the SCHEMABINDING option. These views are created only in the production environment but are never used with any application or by any user. This prevents a DBA from accidentally dropping a table or column within a table. It does not prevent a table from being dropped on purpose because a sysadmin can also drop the view. But dropping an object on purpose that should not be dropped is a security issue. This can be accomplished in SQL Server 2005 in a much more flexible manner by using data defi nition language (DDL) triggers.

The VIEW_METADATA option returns metadata about a view to client-side data access libraries. You use the AS clause to specify the SELECT statement that defines the view. The SELECT statement can be of any complexity as long as the query is valid and can ref erence tables, views, UDFs, and system functions. The only restrictions in a view are as follows:

COMPUTE or COMPUTE BY INTO keyword OPTION clause Reference a temporary table or table variable Use the an ORDER BY clause unless the TOP operator is also specified

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