How does Essbase calculate block size?
Total number of cells in a block: 50. 8 bytes per cell, so 50 * 8 = 400 bytes expanded block size. You have 2 sparse dimensions: Markets – 10 stored members.
What is block density in Essbase?
The ‘density’ of a block is the ratio of cells that actually have data, to the number of cells in the block. This gives an indication of the average percentage of each block which contains data. In general data is sparse, therefore a value over 1% is actually quite good.
How can I improve my Essbase performance?
You can remove fragmentation and compact an Essbase database using either of the following methods:
- Perform an export of the database, delete all data in the database with CLEARDATA, and reload the export file.
- Run the MaxL statement alter database force restructure.
How many dimensions are there in Essbase?
Essbase dynamically calculates attribute dimension data when a user retrieves the data. Consider the simplified database shown in Figure 15, A Multidimensional Database Outline. This database has three dimensions: Accounts, Time, and Scenario: The Accounts dimension has four members: Sales, COGS, Margin, and Margin%.
What is block in Essbase?
Essbase creates a data block for each unique combination of sparse dimension members (providing that at least one data value exists for the combination). Each data block contains all the dense dimension member values for its unique combination of sparse dimension members.
What is average clustering ratio in Essbase?
The average clustering ratio database statistic indicates the fragmentation level of the data (. pag) files. The maximum value, 1, indicates no fragmentation.
What is block size in Essbase?
Essbase uses eight bytes to store each intersecting value in a block.
What is data block in Essbase?
How do you optimize aggregation in Essbase?
Table of Contents
- Analyzing Source Data.
- Identifying User Requirements.
- Planning for Security in a Multiple User Environment.
- Creating Database Models. Identifying Analysis Objectives. Determining Dimensions and Members. Relationships Among Dimensions. Example Dimension-Member Structure.
What is attribute dimension Essbase?
An attribute dimension is a special type of dimension that is associated with a standard dimensions. Use attribute dimensions to report and aggregate data based on characteristics of standard dimensions. In the Sample. Basic database, for example, the Product dimension is associated with the Ounces attribute dimension.
What is dense and sparse dimensions in Essbase?
A sparse dimension is one with a low percentage of available data positions filled. A dense dimension has a high probability that one or more cells is occupied in every combination of dimensions. Typically all the account and time periods have data for all possible combinations so they are tagged as dense.