Changelog
Source:NEWS.md
mlr3db 0.5.2
CRAN release: 2023-11-04
- Bugfix:
DataBackendDuckDBcalculated missing values incorrectly. - Compatibility with future versions of
dbplyr(#35).
mlr3db 0.5.0
CRAN release: 2022-08-08
- Support for parquet files as Backend via DuckDB.
- New converter
as_duckdb_backend().
mlr3db 0.4.1
CRAN release: 2021-04-13
- Temporarily disabled some tests to overcome some regressions in duckdb.
mlr3db 0.4.0
CRAN release: 2021-03-09
- Added a
show_query()method forDataBackendDplyr(#4). - A reconnector is automatically added in
as_data_backend()for objects of typetbl_SQLiteConnectionandtbl_duckdb_connection.
mlr3db 0.3.0
CRAN release: 2020-12-16
- New backend
DataBackendDuckDB. -
dplyris now optional (moved from imports to suggests).
mlr3db 0.2.0
CRAN release: 2020-09-28
- Set a primary key for SQLite databases generated from data frames.
- Set a reconnector for SQLite databases generated from data frames.
- Resolved a warning signaled by dplyr-1.0.0.
mlr3db 0.1.5
CRAN release: 2020-02-19
-
as_data_backend()method to construct aDataBackendDplyrnow specialized to operate on objects of type"tbl_lazy"(was"tbl"before). This way, local"tbl"objects such as tibbles are converted to aDataBackendDataTablebymlr3::as_data_backend.data.frame().
mlr3db 0.1.4
CRAN release: 2020-02-05
- Connections can now be automatically re-connected via a user-provided function.
-
DataBackendDplyrnow has a finalizer which automatically disconnects the database connection during garbage collection.
mlr3db 0.1.3
CRAN release: 2019-10-29
- During construction of
DataBackendDplyr, you can now select columns to be converted from string to factor. This simplifies the work with SQL databases which do not naturally support factors (or where the level information is lost in the transaction).
mlr3db 0.1.2
CRAN release: 2019-08-26
- Fixed
$distinct()to not return missing values per default. - Added
na_rmargument to$distinct(). - Renamed
as_sqlite()toas_sqlite_backend()