We would like to use SciChart to show data from a binary file (up to 1 GB!).
What would you suggest as the best method for achieving this?
The binary file contains for example the following data: a1b1c1a2b2c2a3b3c3…
where a1 b1 c1 etc are double byte numbers.
In the chart we would like to show 3 series:
serie a: (1,a1) (2, a2) (3,a3) etc
serie b: (1,b1) (2, b2) (3,b3) etc
serie c: (1,c1) (2, c2) (3,c3) etc
Hope this is clear…
A question for you – how many rows are in your file? SciChart has been tested up to 10M points (by us) and around 20-30M points (by users). It performs well for line series with thickness=1. Scatter series, mountain etc will not cope with millions of points like line does (that will change in the future, as we investigate alternative rendering technologies!)
Secondly, do you need to view all points at the same time? If so, the most efficient method to load 1GByte text file will be to load in blocks using Append(Ienumerable) that Yuriy has pointed out. Consider a block size of say 4096 points. Load that continually until the file is exhausted. SciChart will keep a copy of your data in its DataSeriesSet. So, if you can stream the data in blocks to SciChart without keeping yet another copy of the entire file in memory it will help.
If you don’t want to display all the points (say you want to virtualize a file on the screen), then we need to talk as its a bit more complicated. We have a powerful API to extend SciChart (see the ChartModifierBase class) but we don’t have any examples for this exact use-case.
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