![]() ![]() We could definitely add a flag to enable this behavior, however. Having diverging query results from SQLite on quite basic queries would confuse a lot of newcomers in DuckDB, and potentially cause silent problems when query semantics change when switching databases. However, if we were to add an implicit `GROUP BY ALL` our transformed queries would now diverge, i.e. In our experience this is not a good default since it is almost never what you want, and hence we did not copy this behavior and instead throw an error in this situation. When a column is not mentioned in the `GROUP BY` clause in SQLite it automatically pushes a `FIRST` aggregate over that column. We thought about that, but particularly with `GROUP BY ALL` the problem is that we would get different results from SQLite. It can natively read Pandas, R, and Julia dataframes, and can read parquet files directly also (meaning without inserting first!).Äoes that help? Happy to add more details! It can use all of your CPU cores for sometimes ~100x speedup over SQLite.ÄuckDB also has some enhancements with respect to data transfer in and out of it. ![]() DuckDB can also read directly out of SQLite files as well, so you can mix and match them! ( )ÄuckDB is much faster than SQLite when doing analytical queries (OLAP) like when calculating summaries or trends over time, or joining large tables together. SQLite is excellent as a transactional database - lots of very specific inserts, updates, and deletes (called OLTP workloads). It also runs in the same process as your application just like SQLite does. In the opened dialog window again select 'Data Editor' and check the 'Datasource settings.The tutorial link about was ok other than that. The only other gotcha was I had to use psql command to use copy table from csv file location delimiter, csv header to get around permissions issues. But you can also configure a specific connection by right-clicking it and selecting 'Edit connection' (or using the F4 shortcut). I actually ended up having to use a combo of script to drop/create files as the data types of columns were too varied to do generically. DuckDB is similarly easy to install and is built without dependencies, just like SQLite. Open 'Settings > Editors > Data Editor' - everything is still there for the global configuration. Excellent question! I'll jump in - I am a part of the DuckDB team though, so if other users have thoughts it would be great to get other perspectives as well.įirst things first - we really like quite a lot about the SQLite approach. ![]()
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