Releases: lightdash/dbt2looker
Releases · lightdash/dbt2looker
v0.11.0
Added
- support label and hidden fields (#49)
- support non-aggregate measures (#41)
- support bytes and bignumeric for bigquery (#75)
- support for custom connection name on the cli (#78)
Changed
- updated dependencies (#74)
Fixed
- Types maps for redshift (#76)
Removed
- Strict manifest validation (#77)
v0.9.1
Fixed
- Fixed bug where dbt2looker would crash if a dbt project contained an empty model
Changed
- When filtering models by tag, models that have no tag property will be ignored
v0.9.0
Added
- Support for spark adapter (@chaimt)
Changed
- Updated with support for dbt2looker (@chaimt)
- Lookml views now populate their "sql_table_name" using the dbt relation name
v0.8.2
Changed
- Measures with missing descriptions fall back to coloumn descriptions. If there is no column description it falls back to "{measure_type} of {column_name}".
v0.8.1
Added
- Dimensions have an
enabled
flag that can be used to switch off generated dimensions for certain columns with enabled: false
- Measures have been aliased with the following:
measures,measure,metrics,metric
Changed
v0.8.0
Changed
- Command line interface changed argument from
--target
to --target-dir
Added
- Added the
--project-dir
flag to the command line interface to change the search directory for dbt_project.yml
v0.7.3
Added
- cli supports a
--version
flag
v0.7.2
Added
- Support for FLOAT64 in bigquery
- Improved debugging statements for generated views
v0.7.1
Added
- Use
dbt2looker --output-dir /path/to/dir
to customise the output directory of the generated lookml files
Fixed
- Fixed error with reporting json validation errors
- Fixed error in join syntax in example .yml file
- Fixed development environment for python3.7 users