Vertaling van "sparse data extraction method" in Japans
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疎データ抽出メソッド
SPARSEデータ抽出メソッド
If you have at least one sparse row dimension in your report, Analytic Services uses the sparse data extraction method in two cases
Data Extraction. Extracting data from dynamic calc members using the sparse data extraction method (using the <SPARSE command in a report script), might result in incorrect results for the dynamic calc members or in a blank report. [7278583, 6991732]
If your report requests a small number of cells (#MISSING and non-missing), the sparse data extraction method is less efficient than the regular method. In this case, Essbase uses the regular method, unless you have at least one sparse row dimension in your report, and you explicitly use the SPARSE command.
To exclude the sparse data extraction method from being used, use the <SPARSEOFF command. For example, you might want to use this command when reporting on data that includes Dynamic Calc and Dynamic Calc and Store members.
SPARSE method: When Essbase uses the sparse data extraction method, Essbase first selects the row member combinations you have requested in your report script. Essbase looks at only the non-missing data blocks for these row member your database is very sparse, this method is very efficient.
Tells Essbase to use the sparse data extraction method, which optimizes performance when a high proportion of the reported data rows are #MISSING. Essbase cannot use the sparse data retrieval optimization method on Dynamic Calc or Dynamic Calc and Store members.
Because attributes are sparse dimensions and are dynamically calculated, Essbase cannot use the sparse data extraction method when a report contains attribute dimensions.
Essbase cannot use the SPARSE data extraction method for dynamically calculated members. The SPARSE data extraction method optimizes performance when a high proportion of the reported data rows are #MISSING. See the <SPARSE command in the Oracle Essbase Technical Reference.
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