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dbt environment runner with Snowflake zero-copy clone sandboxes

Project description

dbts

PyPI Python CI License: MIT

dbt environment runner with Snowflake zero-copy clone sandboxes.

dbts lets you run dbt against a private, per-developer Snowflake clone of your staging or live database — without managing a separate set of credentials, profile files, or CLIs. It also acts as a single front for running dbt against your shared dev, staging, and live targets.

Install

uv tool install dbts
# or run ad hoc:
uvx dbts ...

Quick start

  1. Add a sandbox: target to ~/.dbt/profiles.yml (alongside your existing dev, staging, live):

    tardis_snowflake:
      outputs:
        sandbox:
          type: snowflake
          account: <same as the other targets>
          user: <same as the other targets>
          role: <same as the other targets>
          authenticator: externalbrowser
          database: scm_analytics_sandbox_<your_username>
          warehouse: <same as the other targets>
          schema: raw_data_vault
    
  2. Create your clone:

    dbts up --from staging
    
  3. Run dbt against it:

    dbts build my_model
    dbts test  +my_model+
    
  4. Refresh or drop when done:

    dbts refresh --from staging
    dbts drop
    

Commands

dbts up      --from staging|live   create the clone
dbts refresh --from staging|live   drop and re-create the clone
dbts status                        show clone DB, source, age
dbts drop                          drop the clone

dbts build|run|test|compile|...    pass through to dbt (default --target sandbox)
  --target sandbox|staging|live|dev   choose target

dbts version                       print installed version

Global flags: -v / --verbose (debug logging, including DDL), -q / --quiet (warnings only). -h is a shorthand for --help.

Selectors

Bare positional model selectors work the same as in dbt:

dbts build my_model+              # forwarded as `--select my_model+`
dbts test +my_model+              # ancestors and descendants
dbts run a b c+                   # multi-selector union
dbts build my_model+ --exclude experiments
dbts build --select a b           # `--select` + bare positional are merged

Internally, bare positional args on run / build / test / compile / seed / snapshot / ls / show are promoted to a --select value before being forwarded to dbt. Other subcommands (debug, deps, docs, parse, clean, source) pass arguments through verbatim.

Project-side coupling

dbts assumes the dbt project's generate_database_name macro recognises ENV=sandbox and routes models into a _SANDBOX_<USER> suffixed database. See the dbt project's README for the macro snippet.

Profile resolution

dbts resolves the dbt profile name in this order:

  1. $DBTS_PROFILE if set.
  2. The profile: field in dbt_project.yml at the project root.

Jinja {{ env_var('NAME', 'default') }} calls in the profile: field are rendered against the current environment, so projects whose profile name is templated (e.g. tardis_{{ env_var('warehouse', 'snowflake') }}) work out of the box.

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