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Create bitmap indexes on columns used to join the fact and dimension tables. Bitmap indexes are created by using the keyword BITMAP of the CREATE INDEX statement. This example creates a bitmap index on the column D_DATE_ID of the F_DOWNLOADS table: create bitmap index f_down_date_fk1 on f_downloads(d_date_id); If your fact table is partitioned, you must create the bitmap index as locally partitioned. Do this by specifying the LOCAL keyword: create bitmap index f_down_date_fk1 on f_downloads(d_date_id) local;

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as the facial attributes or the ability to perform actions such as talking (assuming that no disability is present). So, let s start to model these classes in C#, as follows: enum Gender { Male=0, Female=1 } class Male { // Some common attributes int numberOfLegs; int numberOfArms; // Some specialized attributes Gender gender = Gender.Male; } class Female { // Some common attributes int numberOfLegs; int numberOfArms; // Some specialized attributes Gender gender = Gender.Female; } If you can imagine the two classes being far more complex, you can see the amount of duplication that may occur. This is because, fundamentally, the Male and Female class instances share commonality with a more generalized object called Human. So, using the object-oriented features of C#, you could represent the previous classes by first embracing the common elements into a generalized class called Human. public enum Gender { Unknown=0, Male=1, Female=2 } public class Human { // Default constructor public Human() {} // Specialized constructor public Human(Gender gender){ this.gender = gender; } // Some common attributes int numberOfLegs; int numberOfArms; public Gender gender; }

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One of the oldest APIs written for NetBeans was a set of classes that provided support for high-level and lazy manipulation with enumerations. We wrote it in the late summer of 1997 and we packaged it into the org.openide.util.enum package, providing classes such as SingletonEnumeration, ArrayEnumeration, SequenceEnumeration, and FilterEnumeration. There was no reason for us to replace the API until JDK 5 introduced a new keyword into the Java language: enum. The name of our package stopped being valid when source code was compiled against -source 1.5. We had to create a replacement, deprecating the old classes. As there was ample time between creation of the two APIs, I was able to apply many good API design practices to it, avoiding the various beginner mistakes of the early NetBeans days. As a result, we created one Enumerations factory class with methods such as singleton, array, sequence, and filter. The implementations could continue to exist, but only as private classes hidden by the consistent and compact API consisting of a few factory methods in a single class. I used the test for compatibility trick to ensure that the behavior of our adequate old API class was the same as the new API. I created a set of tests that teased these enumerations in various ways, which I ran in two configurations. The first configuration was for the old API, the second for the new version. As soon as they started to pass, I could be sure that concepts in the old API had appropriate and compatible counterparts in the new factory methods.

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Bitmapped indexes are used extensively in data warehouse environments, typically on fact table foreign key columns. Bitmap indexes are less appropriate for OLTP environments where you have multiplesession DML activity on a table. This is because with a bitmap-indexed column, the internal structure of the bitmap index often requires that many rows be locked during the update. Therefore, if you have more than one session performing UPDATES, INSERTS, and DELETES, you will encounter locking and deadlock problems. Bitmap indexes in data warehouse environments are usually dropped and re-created as needed. Typically, before a large amount of data is loaded, the bitmap indexes are dropped, and then re-created after the table is populated. To improve the performance of creating a bitmap index, you can turn off the generation of redo via the NOLOGGING option: create bitmap index f_down_date_fk1 on f_downloads(d_date_id) local nologging; Because the index can easily be re-created, there s usually no reason to generate redo for the CREATE INDEX operation.

You have an application that mainly accesses the table data through queries that select on the primary key or a range of primary key values. You want to efficiently query this table.

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