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Update metricflow-commands.md #6341

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Oct 23, 2024
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Update metricflow-commands.md #6341

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Update metricflow-commands.md
mirnawong1 Oct 23, 2024
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Merge branch 'current' into mwong-add-versionblocks
mirnawong1 Oct 23, 2024
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12 changes: 12 additions & 0 deletions website/docs/docs/build/metricflow-commands.md
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Expand Up @@ -34,10 +34,22 @@ For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI,

You can install [MetricFlow](https://github.com/dbt-labs/metricflow#getting-started) from [PyPI](https://pypi.org/project/dbt-metricflow/). You need to use `pip` to install MetricFlow on Windows or Linux operating systems:

<VersionBlock lastVersion="1.7">

1. Create or activate your virtual environment `python -m venv venv`
2. Run `pip install dbt-metricflow`
* You can install MetricFlow using PyPI as an extension of your dbt adapter in the command line. To install the adapter, run `python -m pip install "dbt-metricflow[your_adapter_name]"` and add the adapter name at the end of the command. For example, for a Snowflake adapter run `python -m pip install "dbt-metricflow[snowflake]"`

</VersionBlock>

<VersionBlock firstVersion="1.8">

1. Create or activate your virtual environment `python -m venv venv`
2. Run `pip install dbt-metricflow`
* You can install MetricFlow using PyPI as an extension of your dbt adapter in the command line. To install the adapter, run `python -m pip install "dbt-metricflow[adapter_package_name]"` and add the adapter name at the end of the command. For example, for a Snowflake adapter run `python -m pip install "dbt-metricflow[dbt-snowflake]"`

</VersionBlock>

**Note**, you'll need to manage versioning between dbt Core, your adapter, and MetricFlow.

Something to note, MetricFlow `mf` commands return an error if you have a Metafont latex package installed. To run `mf` commands, uninstall the package.
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