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Sample mode in dbt will be a "special" running mode to based on some criteria build models with a subset of the input data (i.e. a "sample"). This is important because a lot of us deal with incredibly large data sets on a frequent basis. During development, when we want to be iterating quickly, these large models take a while to run and slow us down. In its simplest form, at the end of this epic, one will be able to do the following dbt run --sample 3 days. The resulting run execution will create "sample" models for any model with an event_time with at least one input that also has an event_time defined.
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Sample mode in dbt will be a "special" running mode to based on some criteria build models with a subset of the input data (i.e. a "sample"). This is important because a lot of us deal with incredibly large data sets on a frequent basis. During development, when we want to be iterating quickly, these large models take a while to run and slow us down. In its simplest form, at the end of this epic, one will be able to do the following
dbt run --sample 3 days
. The resulting run execution will create "sample" models for any model with anevent_time
with at least oneinput
that also has anevent_time
defined.P0
dbt_experimental_sample_mode
environment variable #11227--sample
flag to CLI invocation forrun
command #11230P1
dbt_experimental_sample_mode
environment variable gate #11228P2
bugs 👀
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