mentat/query-translator
Richard Newman 833ff92436
Simple aggregates. (#584) r=emily
* Pre: use debugcli in VSCode.
* Pre: wrap subqueries in parentheses in output SQL.
* Pre: add ExistingColumn.

This lets us make reference to columns by name, rather than only
pointing to qualified aliases.

* Pre: add Into for &str to TypedValue.
* Pre: add Store.transact.
* Pre: cleanup.
* Parse and algebrize simple aggregates. (#312)
* Follow-up: print aggregate columns more neatly in the CLI.
* Useful ValueTypeSet helpers.
* Allow for entity inequalities.
* Add 'differ', which is a ref-specialized not-equals.
* Add 'unpermute', a function for getting unique, distinct pairs from bindings.
* Review comments.
* Add 'the' pseudo-aggregation operator.

This allows for a corresponding value to be returned when a query
includes one 'min' or 'max' aggregate.
2018-03-12 15:18:50 -07:00
..
src Simple aggregates. (#584) r=emily 2018-03-12 15:18:50 -07:00
tests Simple aggregates. (#584) r=emily 2018-03-12 15:18:50 -07:00
Cargo.toml Partial work from simple aggregates work (#497) r=nalexander 2017-11-30 15:02:07 -08:00
README.md Begin serializing queries to SQL. r=nalexander 2017-02-17 17:54:07 -08:00

This crate turns an algebrized Datalog query into a domain-specific representation of a SQL query, and then uses mentat_sql to turn that into a SQL string to be executed.

This subsumes both planning and query construction, because in Mentat the SQL query is effectively a query plan.