opteryx
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mabel-dev
🦖 A SQL-on-everything Query Engine you can execute over multiple databases and file formats. Query your data, where it lives.
the current GROUP BY functionality is the one from pyarrow, whilst this is performant, it has limitations which aren't ideal such as not being able to GROUP BY on relations...
https://github.com/mabel-dev/opteryx/actions/runs/10274964773/job/28432725873 modules with 100% removed: ~~~ Name Stmts Miss Cover Missing --------------------------------------------------------------------------------------------------------------- opteryx/__init__.py 52 8 85% 2[20](https://github.com/mabel-dev/opteryx/actions/runs/10274964773/job/28432725873#step:9:21)-232 opteryx/__main__.py 63 6 90% 148-153 opteryx/config.py 95 8 92% 46, 59, 61, 63,...
This appears to be popular with database platforms (DuckDB + ClickHouse) https://github.com/unum-cloud/usearch
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removal of pyarrow for anything other than reading is on the roadmap.
Aggregation on any literal could be rewritten. Count(lit) = count(*) Max(lit) = lit Min(lit) = lit AVG(lit) = lit Sum(lit) = lit x count(*)
Updates the requirements on [numpy](https://github.com/numpy/numpy) to permit the latest version. Release notes Sourced from numpy's releases. v2.0.0 NumPy 2.0.0 Release Notes NumPy 2.0.0 is the first major release since 2006....
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This may require the data to be defined in Tarchia in order to get the encryption details. Tarchia already provides a mechanism to record column-level encryption information. ~~~python import pyarrow...
The dataset should have a retention life and remove manifests etc which don't have commit which covers it. This will be different for snapshot and continuous. We should also expire...
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