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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.

Create Table #tbl(TermId int, DueDate smalldatetime) Insert Into #Tbl(TermId, DueDate) Exec prListTerms '1/1/2000','1/1/2004','monthly' Select #tbl.TermId, #tbl.DueDate, Inventory.Lease From #tbl, Inventory Where InventoryId = 8 And #tbl.DueDate > GetDate() Drop Table #tbl

The host application on which the JMS application runs. The JMS provider converses with JMS applications and supplies the underlying mechanisms required for a messaging application. JMS objects that are created and maintained by an administrator to be used by JMS clients. Applications that can send and/or receive messages. Bundles of information that are passed between applications. Each application defines the types of information a message can contain.

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)

The listening object must register itself with the JMS provider by calling the setExceptionListener (listenerobject) method on the session.

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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

Table 8-2 describes the details of a JMS session. Unless noted otherwise, this information applies to both the publish/subscribe and point-to-point models.

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

TABLE 8-2

Figure 11-3

A related group of messages that are treated as a single work unit The transaction can be either committed or rolled back When a message sender uses a transacted session and calls the commit method, the messages it produces are accepted for delivery If it calls the rollback method, the messages it produces are destroyed When a message receiver uses a transacted session and calls the commit method, the messages it consumes are acknowledged If it calls the rollback method, the messages it consumes are recovered (not acknowledged) Clients send messages knowing that JMS will deliver them only once Therefore, the JMS provider must never deliver a message more than once or deliver a copy of a message that has already been acknowledged.

This is much more complicated than using the comparable function. Let s investigate the internals of the fnDueDate() function:

occurred on February 13, but a row will be recorded in the snapshot. Without this row, determining the balance for this date would require the following steps: 1. Check the date in question (February 13). 2. If no balance is found, check the previous date. 3. Repeat step 2 until a balance is found. In this case, it would be necessary to go back to February 10 to find a balance. This is unacceptably onerous, particularly if a large number of accounts are being studied. Note that this density does not necessarily imply that the snapshot will have more rows than the transaction fact table. Relative sizes will be determined by the snapshot s grain and transaction volume. If accounts average more than one transaction per day, the snapshot may actually be smaller. In some cases, the density might not be quite so high. A star schema that tracks product inventory in stores would be likely to record rows only for products that are in stock. This avoids the pesky appearance of zero-valued rows making their way into inventory reports.

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