Download Oracle9i OLAP Services. Developer's Guide to the OLAP DML PDF

The Oracle 9i OLAP providers Developer s consultant to the OLAP DML offers anoverview of the programming atmosphere for the OLAP DML. describes the OLAP DML info items, and explains the way to use the main instructions within the OLAP DML. It additionally describes tips to write and debug OLAP DML courses and illustrates programming concepts for having access to and dealing with facts.

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Extra info for Oracle9i OLAP Services. Developer's Guide to the OLAP DML

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Disadvantages of inplace variables — The major disadvantages of using inplace variables rather than a permanent variables are: ■ 3-12 An inplace variable is always in an indeterminate state while it is being updated. Because the old values are overwritten when the new ones are stored, there is no way to know exactly what data is stored in the variable at Oracle9i OLAP Services Developer’s Guide to the OLAP DML Defining Variables any given moment. Depending on the other processing that is being performed, an inplace variable that is being updated can be computationally inconsistent.

THEN the following program is executed, it exists . . read-only access, PERMIT_READ program. read/write access, PERMIT_WRITE program. If you have analytic workspace permission programs defined in analytic workspaces that are currently attached, then the one in the analytic workspace that you are attaching is executed. However, if you have analytic workspace permission programs in more than one currently attached analytic workspace, then you must take special care when you edit them or use them in any other way, to ensure that you access the one in the appropriate analytic workspace.

Sometimes, you will decide to store data of varying levels of aggregation within a single variable, because this type of storage affords a quicker response time for users who want to view the data. In this case, you need to define a hierarchical dimension. For example, if you want to look at data both ways instead of defining both a STORE and a DISTRICT dimension as described above, then you can define a single hierarchical dimension. This hierarchical dimension would contain all of the values for stores and districts.

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