Examples with "relevant data blocks" and their translation in Japans
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Note that it will only actually set user counts of relevant data blocks to zero, you then have to do the usual save & reload of the.blend file to actually get rid of them.
When you add a Dynamic Calc or a Dynamic Calc and Store member to a sparse dimension, Essbase updates the index but does not change the relevant data blocks. See Index Manager.
When you add a Dynamic Calc member to a dense dimension, Essbase does not reserve space in the data block for the member's values. Therefore, Essbase does not need to restructure the database. However, when you add a Dynamic Calc and Store member to a dense dimension, Essbase does reserve space in the relevant data blocks for the member's values and, therefore, must restructure the database.
If this function causes data to be stored (Store flag is TRUE), the relevant data blocks must previously have been locked for update (for example, by calling EssReport() with the Lock flag set to TRUE).
In most cases, to calculate a sparse dimension member dynamically, tag the member as Dynamic Calc instead of Dynamic Calc and Store. When Essbase calculates data values for a member combination that includes a Dynamic Calc member, Essbase calculates only the requested values of the relevant data block. These values can be a subset of the data block.
Whenever possible, Essbase calculates a database in one calculation pass through the, it reads each of the required data blocks into memory only once, performing all relevant calculations on the data block and saving it. However, in some situations, Essbase must perform more than one calculation pass through a subsequent calculation passes, Essbase brings data blocks back into memory, performs further calculations on them, and saves them again.
Deletions and Blocks We delete your personal data if the associated business purpose ceases to apply or if the relevant data privacy and protection rules demand this.
Essbase calculates the database and then does an extra calculation pass to calculate the two-pass formulas. Even though all data blocks are marked as clean after the first database calculation, Essbase ignores the clean status on the blocks that are relevant to the two-pass formula and recalculates these blocks.
Controls updating of data blocks. If TRUE, all relevant blocks which are locked will be unlocked (after data is stored, if necessary). If FALSE, no blocks are unlocked.
In a top-down calculation, Essbase materializes every potential data block that is relevant to the calculation, and executes formulas in those blocks. Therefore, all three values-Jan, Feb, and Mar-are calculated, based on all potential combinations of Budget. The results are
To optimize calculation performance when you load data incrementally, make the dimension tagged as time a sparse dimension. If the time dimension is sparse, the database contains a data block for each time period. When you load data by time period, Essbase accesses fewer data blocks because fewer blocks contain the relevant time period. Thus, if you have Intelligent Calculation enabled, only the data blocks marked as dirty are example, if you load data for March, only the data blocks for March and the dependent parents of March are updated.
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