barcodelib.barcode.rdlc reports.dll 3: Database Design in Visual Studio .NET

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3: Database Design
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You can have more than one UNIQUE constraint, and unlike PKs, they can contain null data (but only one null) Additionally, UNIQUE constraints can be referenced by FOREIGN KEY constraints to link tables As an example, the following code could be used to add a UNIQUE constraint to the Driver table
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ALTER TABLE Driver ADD DriverLicenceNumber VARCHAR(20) NULL CONSTRAINT DLN_unique UNIQUE;
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When tables get very large, often we consider partitioning them for optimization What this means is that we divide the data so it is stored on more than one physical disk This can make searching and the execution of frequently used queries much more efficient Two methods can be used to partition tables: horizontal partitioning and partition schemes Horizontal partitioning has been available to us for a long time, but is more manual Partition schemes are new to SQL Server 2005 and allow the system to automate the process of partitioning EXAM TIP Horizontally partitioning tables is an invaluable technique used to manage large tables While not all of us will manage tables large enough that they need to be partitioned, all test takers pursuing the MCITP: Database Developer certification need to be aware of the strategies available to partition data Make sure you understand the big picture of why we partition tables and the benefits involved
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In traditional horizontal partitioning, we divide the rows of the table into separate tables to make the size of the tables more manageable For example, a sales table could have sales data from four regions of the country (north, south, east, and west) Since each region is primarily interested in sales from their region, we can divide the sales table into four separate tables This reduces the size of each table to only about 25 percent of the original size (assuming all regions are equal) and positively impacts the performance of all tables Each table would be defined the same way with the same columns However, one column (we ll call it Region in this example) identifies which table the sales data is inserted into The application that inserts the data would determine which region the sale occurred in and insert it into the appropriate table If headquarters needed to see sales from all regions, we could create a VIEW with a UNION statement to show all regions This would pull the data from the four tables and present it as a single virtual table This is referred to as a partitioned VIEW
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A common choice of partitioning is based on dates Consider an Orders table that has 10 million rows Much of this data is referred to as historical data, and it includes orders placed more than six months ago About 5 percent of the data is current data orders from the past six months Customer service personnel need to be able to access current data, but very rarely need to access historical data EXAM TIP When recent data needs to be queried often from a very large table, the query can be optimized by partitioning the data by date Older data can be moved to a different partition, reducing the amount of data that needs to be read for the query on the newer data If we leave the Orders table as a single table, then the customer service personnel have to wait until their queries can get through 10 million rows of data This could be very inefficient A way to optimize this is to horizontally partition the data by date We do this by creating two separate tables The first table is the Orders table The second table has the same definition as the Orders table, but has a different name, such as OrdersArchive We could run two queries on a monthly basis The first query would read data from the Orders table; any data that is older than six months would be imported into the OrdersArchive table The second query would delete any data in the Orders table older than six months (and was just imported into the OrdersArchive table) Now when customer service personnel query the Orders table, it will only be about 500,000 rows That s still a lot, but significantly less than the original 10 million
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