FastBit is a software tool for searching large read-only data sets. It organizes user data in a column-oriented structure which is efficient for on-line analytical processing (OLAP), and utilizes compressed bitmap indices to further speed up query processing. Analyses have proven the compressed bitmap index used in FastBit to be theoretically optimal for one-dimensional queries. Compared with other optimal indexing methods, bitmap indices are superior because they can be efficiently combined to answer multi-dimensional queries whereas other optimal methods cannot. In this paper, we first describe the searching capability of FastBit, then briefly highlight two applications that make extensive use of FastBit, namely Grid Collector and DEX.

FastBit: An Efficient Indexing Technology For Accelerating Data-Intensive Science

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An Analysis of netCDF-FastBit Integration and Primitive Spatial-Temporal Operations

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An Analysis of netCDF-FastBit Integration and Primitive Spatial-Temporal Operations