即使单个维度相对较小，随着每个维度的加入，笛卡尔连接也会成倍增长。
Even if the individual dimensions themselves are relatively small, the Cartesian join grows exponentially with each addition of a dimension.
在一个查询中不带事实数据连接三个或更多维度，也能产生大型笛卡尔连接。
Combining three or more dimensions in a query without fact data, can also cause large Cartesian joins.
由于伪事实的每个维度中的连接表达式的过滤，笛卡尔连接结果缩小了。
The Cartesian join is reduced by the filters found in the join expressions from each dimension to the fake fact.
教堂的花园和其他附属建筑非常开阔，它们作为奥克兰笛卡尔坐标式城市布局的延伸而与城市相连接。
The Cathedral's gardens and dependencies6 are very open and connected to the city as an extension of Oakland's Cartesian urban grid.
此刻数据好像消失了，因为事实表的连接似乎比笛卡尔product结果更加稀少。
Data may seem to disappear at this point since the joins through the fact table is likely more sparse in its combinations than the Cartesian Product results.
连接线称为弧，笛卡尔坐标系统中的点称为节点。
The connecting lines are arcs, and the points within the Cartesian coordinate system are nodes.
教堂的花园和其他附属建筑非常开阔，它们作为奥克兰笛卡尔坐标式城市布局的延伸而与城市相连接。
The Cathedrals gardens and dependencies6are very open and connected to the city as an extension of Oakland s Cartesian urban grid.
教堂的花园和其他附属建筑非常开阔，它们作为奥克兰笛卡尔坐标式城市布局的延伸而与城市相连接。
The Cathedral's gardens and dependencies are very open and connected to the city as an extension of Oakland's Cartesian urban grid.
教堂的花园和其他附属建筑非常开阔，它们作为奥克兰笛卡尔坐标式城市布局的延伸而与城市相连接。
The Cathedral's gardens and dependencies are very open and connected to the city as an extension of Oakland's Cartesian urban grid.
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