Comments (3)
In addition to this, the file sizes of a 100k Monte Carlo sample set I generated did not seem to make sense. The data consists of 54 columns in a PointSet and the csv version of the data was ~50MB. The xml was ~200MB, and the HDF5 was ~800MB. There seems to be some inefficiencies in how we are storing data, especially in the metadata. Not to mention reading this data from HDF5 was really slow. I can avoid it by loading from csv without the xml files present. I did not attempt to load the file with the xml present as I assume that will incur a lot of overhead with the metadata.
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By way of warning, excluding the metadata XML is only safe for Monte Carlo sampling, since we don't care about probability weights, just in case someone else runs across this approach as a potential workaround.
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This issue can be closed since the new dataobject system and it is invalid now.
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