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You have probably noticed another key difference between transaction and snapshot While transaction fact tables are sparse, snapshots are dense In a transaction fact table, a row is only recorded for a combination of dimension values if an activity links them If there is no transaction on a particular day, no row is recorded In a snapshot, however, rows are recorded regardless of activity Failure to do so would render it useless The account snapshot in Figure 11-2 records a row for each account at the end of each snapshot period Since the period is a day, each account will receive exactly one row per day in the fact table Figure 11-3 shows how this differs from what is stored in the transaction fact table The table on the left shows transactions for a particular account during a span of two weeks.

Figure 8-18.

To minimize the possibility of confusion, SQL always interprets a column reference in a subquery using the nearest FROM clause possible To illustrate this point, in this example the same table is used in the query and in the subquery: List the salespeople who are over 40 and who manage a salesperson over quota SELECT NAME FROM SALESREPS WHERE AGE > 40 AND EMPL_NUM IN (SELECT MANAGER FROM SALESREPS WHERE SALES > QUOTA) NAME ----------Sam Clark Larry Fitch The MANAGER, QUOTA, and SALES columns in the subquery are references to the SALESREPS table in the subquery's own FROM clause; SQL does not interpret them as outer references, and the subquery is not a correlated subquery As discussed earlier, SQL can perform the subquery first in this case, finding the salespeople who are over quota and generating a list of the employee numbers of their managers.

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Each of these transactions generates a single row in the account_facts table The table on the right illustrates the balance of the account at the end of each day Each of these periodic balances is represented by a single row in account_snapshot_facts (Ignore the shaded regions These will be discussed shortly) As you can see, the snapshot is dense; each account is represented for each day Not so in the transaction fact table If you examine the data closely, you will see there were a total of nine transactions in this account during these two weeks In the snapshot, however, 14 rows are recorded for the account during the two-week span one for each snapshot period TIP Snapshot fact tables are dense Information is recorded each period in accordance with the grain statement, regardless of whether any activity took place.

8:

This density is a crucial feature of the snapshot table If a row is not recorded for each snapshot period, it becomes difficult to determine status For example, no transactions.

SQL can then turn its attention to the main query, selecting managers whose employee numbers appear in the generated list..

SQL Server 7 has been designed to perform two-way replication with various different data sources. These sources may include any type of data repository that is supported through the ODBC or OLEDB database access methods. For example, an Oracle server might function as a Subscriber to a SQL Server database. Bear in mind that with these types of data sources, you will not have access to all the features of SQL Server replication. Additionally, some custom development may be required to integrate other types of servers or data repositories. Fortunately, the SQL Server architecture has been designed to be flexible, and documentation and programming objects are available for various development languages.

Account: Period: Granular transaction data stored in account_facts: Transaction Type Initial Deposit Withdrawal Check Check Check Deposit Check Check Withdrawal Transaction Amount 2000.00 (20.00) (35.50) (17.02) (75.00) 75.00 (800.00) (68.29) (100.00)

After you have set up replication, you ll need to ensure that it is working properly. There are several parameters that might affect its proper operation. Network connection availability and performance are two of the main considerations. We ve already mentioned several ways to ensure that SQL Server replication is working. In this section, we ll look at several ways to view information about replication and monitor related activities. This is a vital function for businesses that depend on replication services.

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7922-3002 2/1/2009 2/14/2009 Periodic status data stored in account_snapshot_facts: Day 2/1/2009 2/2/2009 2/3/2009 2/4/2009 2/5/2009 2/6/2009 2/7/2009 2/8/2009 2/9/2009 2/10/2009 2/11/2009 2/12/2009 2/13/2009 2/14/2009 Balance 2000.00 1980.00 1927.48 1927.48 1927.48 1927.48 1127.48 1127.48 1127.48 1059.19 1059.19 1059.19 1059.19 959.19 Two transactions occurred on this day No transactions occurred on these days Offsetting transactions occurred on this day

SQL Server Enterprise Manager includes the Replication Monitor tool for quickly and easily viewing status and conflict information related to replication. This tool can give you periodic updates of the status of replication and is useful in ensuring that everything is working properly. Before relying on the information presented in Replication Monitor, you should make sure that you have made appropriate settings to the display. This can be done by right-clicking the Replication Monitor item in Enterprise Manager and selecting Refresh Rate and Settings. You ll see this dialog box:

Day 2/1/2009 2/2/2009 2/3/2009 2/3/2009 2/6/2009 2/6/2009 2/7/2009 2/10/2009 2/14/2009

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