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Cubes is a Python framework for online analytical processing (OLAP), multidimensional analysis, star and snowflake schema denormalization, and cube comptutation. It features a logical model that describes how data are being analyzed and reported, independent of physical data implementation, hierarchical dimensions (attributes that have hierarchical dependencies, such as category-subcategory or country-region), localizable metadata and data localization.


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2011-12-06 07:23

一种新方法 Dimension.attribute_reference 返回一个属性的完整引用。str(cut) 现在将返回切的构造的字符串表示形式,因为它可以使用由切片器。切片器服务器现在提供了有关模型的区域设置信息。在多维数据集中的维度可以是列表。在模型中的多维数据集可以是列表。服务多语言模型现在按预期工作。此版本修复了旧细胞聚合调用浏览器调用。已添加了教程。
A new method Dimension.attribute_reference returns the full reference to an attribute. str(cut) will now return the constructed string representation of a cut as it can be used by Slicer. Slicer server now provides information about model locales. Dimensions in a cube can be a list. Cubes in a model can be a list. Serving multilingual models now works as expected. This release fixes old Cell aggregation calls to Browser calls. Tutorials have been added.

2011-10-01 07:12

类 '长方体' 正式更名为更正确的 '细胞'。与 '长方体' 在他们的名称参数中的所有 Api 都被重都命名,而使用单元格。已更改的模型的类的初始化: 模型、 多维数据集、 维度、 层次结构和水平有更多的"pythony"。改进的平面和细节少尺寸 (尺寸只是由一个属性,这也是一把钥匙代表) 处理。模型初始化的默认设置。切片器服务器已被更改,以处理在模型内的多个多维数据集。在聚合向下钻取,可以指定显式的维度。
The class 'Cuboid' was renamed to the more correct 'Cell'. All APIs with 'cuboid' in their name/arguments were renamed to use 'cell' instead. The initialization of model classes has changed: Model, Cube, Dimension, Hierarchy, and Level are more "pythony". Improved handling of flat and detail-less dimensions (dimensions represented just by one attribute which is also a key). Model Initialization Defaults. The slicer server has been changed to handle multiple cubes within a model. In aggregate drill-down, an explicit dimension can be specified.

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