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We need to cover aggregation API used in H2O groupby queries. Issue doesn't cover other features required for H2O benchmarks (type cast, data transfer etc.)
Query #6 - we need to implement std and median aggregators in OmniSci
Query #8 - we need to use window functions to implement groupby.head method. Unfortunately, OmniSci doesn't preserve rows order in partitions when window function is applied without order by. In our case we have sorted order prior groupby call. So, it is possible to translate, but requires sort_values implementation to become backend specific first.
Query #9 - here we have grouby.apply with lambda. Passed lambda uses unsupported corr aggregate. Also it returns new Series built on cell values extracted from corr result. With would be very challenging to support using lazy computations.
We need to cover aggregation API used in H2O groupby queries. Issue doesn't cover other features required for H2O benchmarks (type cast, data transfer etc.)
Current status:
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