MOLAP is a Multidimensional, Open-Source, In-Memory, Object-Oriented, and Embeddable API for aggregating data through computationally efficient multidimensional cubes developed by Macrofocus. It supports the usual drill-down, drill-up, slicing, dicing, and pivot operations, alongside a wide choice of built-in aggregation functions, with many additional distinctive features.
A good and efficient starting point is the use of the {@link com.macrofocus.molap.dataframe.DataFrameFactory} class. It will get you started within minutes!
Package | Description |
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com.macrofocus.molap.dataframe |
Provides the necessary classes and interfaces for dealing with indexed table structures.
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com.macrofocus.molap.dataframe.swing |
Provides the necessary classes and interfaces for interfacing with Swing data models.
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com.macrofocus.molap.index |
Provides the necessary classes and interfaces for dealing with indexed structures.
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com.macrofocus.molap.series |
Provides the necessary classes and interfaces for dealing with indexed vector structures.
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Package | Description |
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com.macrofocus.molap.aggregates |
Provides the necessary classes and interfaces for aggregating data.
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com.macrofocus.molap.aggregates.aggregation |
Provides the necessary classes and interfaces for defining how the data should be aggregated.
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com.macrofocus.molap.aggregates.cube |
Provides the necessary classes and interfaces for dealing with multidimensional cubes.
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com.macrofocus.molap.aggregates.cuboid |
Provides the necessary classes and interfaces for dealing with cuboids.
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com.macrofocus.molap.aggregates.query |
Provides the necessary classes and interfaces for performing queries.
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Package | Description |
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com.macrofocus.molap.adapter |
Provides the necessary classes and interfaces for adapting with third-party libraries.
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com.macrofocus.molap.table |
Provides the necessary classes and interfaces for dealing with fact tables.
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