Hi, I looked you report in site and have some questions.
What means the thesis? *Your dataset is fit for columnar compression, ea. repeating values and/or a timeseries-like* *dataset.* As I undersent, you are overwrite file io factory (TBLigniteFileIoFactory). But in this lavel available only bytes, not data entries. What caused the performance drop to 31% in your test? On Mon, Apr 1, 2019 at 8:54 AM <999.comput...@gmail.com> wrote: > Hi developers, > > We have released TBLignite compression, an Ignite plugin that provides > in-memory compression: http://tblcore.com/download/. > Compression rates are similar to those of SQL Server 2016 columnar > compression (10-20x) and our testing show significant performance > improvements for datasets that are larger than the available amount of > memory. > > Currently we are at version 0.1, but we are working on a thoroughly tested > 1.0 release so everyone can scratch their compression itch. A couple of > questions regarding this: > 1) Are there any Ignite regression tests that you can recommend for 3rd > party software? Basically we are looking for a way to test all the possible > page formats that we need to support. > 2) Once we release version 1.0, we would like TBLignite to be added to the > Ignite "3rd party binary" page. Who decides what gets on this page? > 3) And are there any acceptance criteria or tests that need to be passed? > > We would like to hear from you. > Pascal Schuchhard > TBLcore > > -- Vladislav Pyatkov
