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I have searched the existing issues, and I could not find an existing issue for this feature
I am requesting a straightforward extension of existing dbt functionality, rather than a Big Idea better suited to a discussion
Describe the feature
Support configuration of multiple semantic layer time spines at different granularities. This will enable support for sub-daily granularity while maintaining query efficiency, since we can default to the largest compatible time spine for a given query. YAML configs have been designed to look like this:
models:
- name: my_time_spine
description: "my favorite time spine"
time_spine:
standard_granularity_column: date_day # column for the standard grain of your table
custom_granularities_columns: # additional custom granularites for your timespine
- name: fiscal_year
offset: 2
- name: my_other_column
offset: 3
columns:
- name: date_day
granularity: day # set granularity at column-level for standard_granularity_column
The new fields are model.time_spine and column.granularity.
Describe alternatives you've considered
No response
Who will this benefit?
No response
Are you interested in contributing this feature?
No response
Anything else?
No response
The text was updated successfully, but these errors were encountered:
Is this your first time submitting a feature request?
Describe the feature
Support configuration of multiple semantic layer time spines at different granularities. This will enable support for sub-daily granularity while maintaining query efficiency, since we can default to the largest compatible time spine for a given query. YAML configs have been designed to look like this:
The new fields are
model.time_spine
andcolumn.granularity
.Describe alternatives you've considered
No response
Who will this benefit?
No response
Are you interested in contributing this feature?
No response
Anything else?
No response
The text was updated successfully, but these errors were encountered: