SYSTEM AND METHOD FOR LOAD， AGGREGATE AND BATCH CALCULATION IN ONE SCAN IN A MULTIDIMENSIONAL DATABASE ENVIRONMENT

In accordance with an embodiment， systems and methods can provide for load， aggregate， and batch calculation in in a multidimensional database environment. Metadata can be used to identify in which higher dimensions each leaf-level load is used. At such time， the data from the leaf level is aggregated to each of the higher dimensions where it is to be used. Then， the aggregate values are stored in memory until a completed sum (or other calculation) is completed at the higher levels. At such time， the aggregate values can be discarded from memory. The ability of the system to perform a load， aggregate， and batch calculation in one scan is particularly useful in processing very large sets of data， for example in big data environments， where it may not be desirable to load the data for all of the leaf nodes into current memory. In accordance with an embodiment， systems and methods can provide for load， aggregate， and batch calculation in in a multidimensional database environment. Metadata can be used to identify in which higher dimensions each leaf-level load is used. At such time， the data from the leaf level is aggregated to each of the higher dimensions where it is to be used. Then， the aggregate values are stored in memory until a completed sum (or other calculation) is completed at the higher levels. At such time， the aggregate values can be discarded from memory. The ability of the system to perform a load， aggregate， and batch calculation in one scan is particularly useful in processing very large sets of data， for example in big data environments， where it may not be desirable to load the data for all of the leaf nodes into current memory.