Sarah Yurick

Resolve `test_table_schema`

1

Re-opening #758 here.

[DF] Support `CREATE TABLE x AS TABLE y`

4

Hi, I'd like to be able to parse a statement like CREATE TABLE films2 AS TABLE films as from the second Postgres example found at [this source](https://www.postgresql.org/docs/current/sql-createtableas.html). I currently get...

[ENH] `covar_pop` and `covar_samp`

1

**Is your feature request related to a problem? Please describe.** In #746 I am resolving the `test_stats_aggregation` integration test for our DataFusion SQL planner branch. However, I'm having trouble with...

Hi, I'd like to be able to handle nullable types and empty partitions before making a prediction in Dask-ML. With the former, Dask DataFrame columns with nullable types can be...

Hi, I'd like to be able to parse a statement like `CREATE TABLE films2 AS TABLE films` as from the second Postgres example found at [this source](https://www.postgresql.org/docs/current/sql-createtableas.html). I currently tried...

https://github.com/dask-contrib/dask-sql/pull/1102 adds dynamic partition pruning functionality. While working on this, I noticed several features that could be used to enhance this optimization rule that are outside of the original intended...

https://github.com/dask-contrib/dask-sql/pull/1027 added basic join reordering functionality. However, there are several things that need to be fixed and improved upon in the future: - [ ] Probably the biggest improvement we...

Currently, something like ``` SELECT * FROM d_table WHERE d_date BETWEEN '2000-02-01' AND (CAST('2000-02-01' AS DATE) + 90 days ``` fails with a `ParserError("Expected ), found: days")`. Fixing this will...

https://github.com/dask-contrib/dask-sql/pull/1025 enhanced our logic in dealing with scalar timestamps. However, there are still a couple of bugs as marked in `test_scalar_timestamps`: - [ ] `SELECT TIMESTAMPDIFF(DAY, to_timestamp(d1), to_timestamp(d2)) AS dt...

[BUG] `experiment_class` fails on GPU

2

In #886, we removed all dependencies on Dask-ML in favor of scikit-learn, cuML, and our own classes (ParallelPostFit and Incremental). Previously, when creating an experiment, `experiment_class` was expected to be...