Hi all, What would be the best way to use Calcite with Python? I've come up with two potential solutions:
- using the jaydebeapi package, to connect via the JDBC driver directly from a JVM created via jpype; - using Apache Arrow via the pyarrow package, to connect in basically the same way but creating Arrow objects with JdbcToArrowUtils (and optionally converting them to Pandas). Although the former is more straightforward, the latter allows to achieve better performance (see [1] for instance) since it's exactly what Arrow is for. I've created two Jupyter notebooks [2] showing each solution. What would you recommend? Is there an even better approach? Thanks, Nicola [1] https://uwekorn.com/2020/12/30/fast-jdbc-revisited.html [2] https://github.com/nvitucci/calcite-sparql/tree/v0.0.2/examples/python
