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partitioning the huge table, which might have a total of 480 million rows, for example, any queries you run would only have to deal with one-twelfth of the table that is, about 40 million rows which makes a big difference Partitioning thus provides you with a divide-and-conquer technique for dealing efficiently with massive amounts of table data Listing 5-8 shows the DDL for creating a range-partitioned table, with each year s worth of data divided into four partitions With each new quarter, you can add another partition Thus, you ll end up with 12 partitions over a three-year period Listing 5-8.

The UI-in-charge approach uses .NET s ability to pass objects by value but requires the UI developer to know about and interact with the application server. The object-in-charge approach enables a very simple set of UI code but makes the object code prohibitively complex by making it virtually impossible to pass the objects by value. The class-in-charge option provides a good compromise by providing reasonably simple UI code that s unaware of application servers while also allowing the use of .NET s ability to pass objects by value, thus reducing the amount of plumbing code needed in each object. Hiding more information from the UI helps create a more abstract and loosely coupled implementation, thus providing better flexibility.

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Creating a Range-Partitioned Table SQL> CREATE TABLE sales_data 2 (ticket_no NUMBER, 3 sale_year INT NOT NULL, 4 sale_month INT NOT NULL, 5 sale_day INT NOT NULL) 6 PARTITION BY RANGE (sale_year, sale_month, sale_day) 7 (PARTITION sales_q1 VALUES LESS THAN (2004, 04, 01) 8 TABLESPACE ts1, 9 PARTITION sales_q2 VALUES LESS THAN (2004, 07, 01) 10 TABLESPACE ts2, 11 PARTITION sales_q3 VALUES LESS THAN (2004, 10, 01) 12 TABLESPACE ts3, 13 PARTITION sales_q4 VALUES LESS THAN (2005, 01, 01) 14* TABLESPACE ts4); Table created SQL> The table creation statement in Listing 5-8 will create four partitions, each stored in a separate tablespace Notice how the partitions are based on date ranges The first partition, sales_q1, will include all transactions that took place in the first three months (one quarter) of the year 2004.

Keep in mind that implementing CI may be a step too far for your process since there are also some potential threats to the process: Process not required If you operate in an environment with a very long-winded approach to system delivery and integration work, then it is possible that CI will not help; its philosophy is simply opposed to the available methodology Equally, if no one is doing anything with the information, then it may be pointless In this instance, the threat is that the cultural positioning of the team requires some realignment to use CI effectively Lack of discipline This issue is related to the above point Agile methods such as CI often require focus to ensure their success.

The second quarter, sales_q2, will include transactions that occurred between April and June of 2004 (months 4, 5, and 6 of the year), and so on It is common in range-partitioned tables to use a catchall partition as the very last one When this is the case, the last partition will contain values less than a value called maxvalue, which is simply any value higher than the values in the second-to-last partition Note that each partition has a specific name and is stored in a separate tablespace In the partitioned sales_data table, the sales data for June 10, 2004 (sale_year=2004, sale_month=6, and sale_day=10) has a partitioning key of (2004, 6, 10) and would be stored in partition sales_q2 When a query requests data for June 10, 2004, the Oracle query zooms in on partition sales_q2 and completely ignores the rest of the table data..

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