Jan Gorecki

Design well how to handle compiled languages. We don't have any yet in this benchmark suite. Maybe it is already in this PR made well enough. It needs time to...

dask addresses this issue by using on-disk data storage https://github.com/h2oai/db-benchmark/issues/126

This is still issue for pandas 1.0.3. For dask I will check that once we will have #144 merged.

dask is now capable to load 1e9 after #144.

Unfortunately it cannot complete any of the groupby queries, so reverting to use on-disk format again.

It seems that this issue has impact not only on 1e9_2e0_0_0 data case. The data case which starts just after failure of k=2e0 happened to fail as well at the...

This problem has been described in https://bugs.r-project.org/bugzilla/show_bug.cgi?id=18003

on recent dask there is another error now in this case ``` KeyError: "('aggregate-chunk-aggregate-combine-63e10a348d6782ffeda58ddaf71e054f' , 2, 1, 0)" ```

Hi @niviksha, Providing the following files ``` ./omnisci/setup-omnisci.sh ./omnisci/groupby-omnisci.py ./omnisci/join-omnisci.py ``` would be the best possible help. You can use corresponding pandas (or other solution) files as template.

same issue here, chromium browser