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#Screen resolution calculator for best fps serial#

Without explicit change of the calculator cache size, Essbase might perform a parallel calculation using only a single bitmap and a single anchoring dimension.

#Screen resolution calculator for best fps serial#

Therefore, the bitmap option used for parallel calculation may be different from that used for serial calculation.įor example, assume Essbase performs a serial calculation and uses multiple bitmaps and a single anchoring dimension. For relevant error messages, see Monitoring Parallel Calculation.Īt the start of a calculation pass, Essbase checks the calculator cache size and the degree of parallelism and then uses the calculator cache bitmap option appropriate for maximum performance. To see whether a formula is preventing parallel calculation, check the application log. If you need to use a formula that might prevent parallel calculation, you can either mark the member of the formula as Dynamic Calc or exclude it from the scope of the calculation. For example, member A has a formula referring to member B, and member B has a formula referring to member C, and member C has a formula referring to member A.Ī formula on a dense or sparse member with a dependency on a member or members from the dimension used to identify tasks for parallel processing.Ī sparse dimension member formula that contains references to members from other sparse dimensions.

does not force serial calculation when it is on dense Dynamic Calc members that are not dependent on other stored members during the batch calculation.Ī member formula that causes a circular dependence. For example, if Product is sparse and you load data for one product, Essbase recalculates only the blocks affected by the partial load, although time is dense and Intelligent Calculation is enabled.įor information on incremental loads, see Loading Data into Aggregate Storage Databases.Ī formula on a dense member, including all stored members and any Dynamic Calc members upon which a stored member may be dependent, that causes a dependence on a member of the dimension that is used to identify tasks for parallel calculation.Ī formula that contains references to variables declared in a calculation script that uses or sparse dimension member formula using and the dimension for the sparse member is fully calculated. If the dimension tagged as time is dense, you still receive some benefit from Intelligent Calculation when you do a partial data load for a sparse dimension. However, making the time dimension sparse when it is naturally dense may significantly increase the size of the index, creating possibly slower performance due to more physical I/O activity to accommodate the large index. For example, if you load data for March, only the data blocks for March and the dependent parents of March are updated.

Thus, if you have Intelligent Calculation enabled, only the data blocks marked as dirty are recalculated.

When you load data by time period, Essbase accesses fewer data blocks because fewer blocks contain the relevant time period. If the time dimension is sparse, the database contains a data block for each time period. To optimize calculation performance when you load data incrementally, make the dimension tagged as time a sparse dimension. For example, a company may load data each month for that month.