The release of dstats 0.4 is all about making the application handle real-world large datasets and tightening up input validation. From the release notes:
- Internal values increased to 'long double' type. dstats will now support larger datasets and/or larger aggregate values within those datasets.
- Ensure file(s) being read are regular files
- Input validation: under/overflow, strict conversion
- Changed '-r/--running' option to '-u/--update'
Right now it can slice through a test dataset of 10M random integers in about 5 seconds (on my trusty 2.8GHz c2d iMac). One item (of many) I need to work on in the near future is making sure it builds and runs on other platforms properly.
The march of steady progress moves on. I figure a few more revs will make it near-production quality - as always, any feedback, suggestions, or bug reports are welcome.
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