Managing Partitions and Database Processing in C#

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Managing Partitions and Database Processing
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Tip If you want to work through the procedures in this section a second time, you first need to delete the records that were inserted by the Update Warehouse 1 .sql and Update Warehouse 2 .sql scripts . Included in the C:\Microsoft Press\Analysis Services 2008 SBS \ 14\SQL folder is a SQL script named Delete .sql that will do this for you .
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Working with Partitions
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Partitions make it possible for you to create extremely large cubes . You can effectively create small, medium-sized, and even remarkably large cubes without using partitions . But partitions are useful when you need to create very large, enterprise-wide applications . For that reason, the ability to manage multiple partitions is available only with Microsoft SQL Server 2008 Enterprise Edition .
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Understanding Partition Strategies
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Each Analysis Services measure group consists of at least one partition . You design storage modes and aggregations at the partition level . Whether a measure group contains only a single partition or many partitions, the process of designing storage is the same . One of the benefits of creating multiple partitions is that you can design different storage for different portions of the measure group . For example, say that you have one partition that contains information for the current year and one previous year . You access this information frequently, so you specify multidimensional OLAP (MOLAP) storage with aggregations to provide a 30 percent performance gain . A second partition contains values for the third, fourth, and fifth years . These years are usually accessed only at a summary level (if at all), and the relational warehouse is also occasionally accessed, so you specify hybrid OLAP (HOLAP) storage, with aggregations that provide a 15 percent performance gain . A third partition contains several previous years . Those years are infrequently accessed and the relational warehouse is never used, so you specify MOLAP storage with aggregations to the 5 percent performance level and then archive the relational warehouse to tape . A second major benefit of creating partitions is that you can process a partition independently of the rest of the cube . As a fairly extreme example, suppose that you have an Analysis Services cube used to monitor manufacturing activities and you want to update the information in that cube every 10 minutes . You don t have time to completely process the database every 10 minutes . By putting the current day into a separate partition, you can process that partition every 10 minutes, without having to process the rest of the cube . In effect, creating a partition for the current day is like performing an incremental update on the cube, except that you can completely replace the values in that one partition every 10 minutes, guaranteeing consistency with the relational data source .
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Part IV
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A client application has no awareness of let alone control over partitions used on the server . You can modify the design of partitions without affecting any client application . The most important task when creating partitions is to make sure that each appropriate value from the fact table (or fact tables) makes it into one and only one partition .
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Creating Partitions
When you re creating partitions, make sure each partition gets unique data . Otherwise, it s easy to double-count values in multiple partitions . The dangers of creating partitions are similar to the dangers of executing an incremental update on a cube . This similarity is not coincidental . In fact, when you perform an incremental update on a cube, the Analysis Services server creates a new partition, loads values into the new partition, and then merges the two partitions . Analysis Services provides two techniques to avoid double-counting:
Create a separate fact table for each partition . Specify a filter (a SQL WHERE clause) to restrict rows from the fact table .
In this section, you will create three partitions in the AdventureWorks cube Reseller Sales measure group . One partition will contain data for CY 2011, another for CY 2010, and a final partition will contain data for all prior years . In the first procedure, you will modify the existing partition so that it contains the most current data, and then in the following procedure you will create two partitions to contain data from prior years .
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