This tutorial explains the maximum limit on dimensions, and the downside to using too many.
- [Instructor] Before we move onto the filters and groups,…the last thing to mention that we can do…with a dimension is to dispose of it.…Dimensions are expensive.…The more you have, the slower your code will run.…Now you can't always tell from your output…how many dimensions are running.…Here there are six components, one,…two, three, four, five, and six.…two, three, four, five, and six.…But actually there's only four dimensions…sitting behind them.…It's equally possible that you could declare ten dimensions…and still only show six components…and that might be because you have redundant code…or perhaps you're allowing users…to alter the data behind the dashboard…and then you would need to add…and remove dimensions on the fly.…
You can't have more than 32 dimensions on a data set.…And also there are particular overheads…when increasing the number of dimensions…above multiples of eight.…So if you find your code is running slowly…and you have nine dimensions, you might want to check…if you really need all of them.…
Released
1/9/2017- Downloading Crossfilter
- Cross-filtering data
- Creating dimensions
- Grouping data
- Filtering by range and function
- Removing matching records
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Video: Why dimensions are expensive