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@@ -11,10 +11,10 @@ It is more than just a [dbt alternative](https://tobikodata.com/reduce_costs_wit
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</p>
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## Core Features
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<!-- <img src="https://github.com/TobikoData/sqlmesh-public-assets/blob/main/sqlmesh_plan_mode.gif?raw=true" alt="SQLMesh Plan Mode"> -->
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TODO: replace with vscode gif in a separate repo link
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> Get instant SQL impact analysis of your changes, whether in the CLI or in the [SQLMesh VSCode Extension](https://sqlmesh.readthedocs.io/en/latest/guides/vscode/?h=vs+cod)
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<imgsrc="https://github.com/TobikoData/sqlmesh-public-assets/blob/main/vscode.gif?raw=true"alt="SQLMesh Plan Mode">
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> Get instant SQL impact and context of your changes, both in the CLI and in the [SQLMesh VSCode Extension](https://sqlmesh.readthedocs.io/en/latest/guides/vscode/?h=vs+cod)
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<details>
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<summary><b>Virtual Data Environments</b></summary>
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* Never build a table [more than once](https://tobikodata.com/simplicity-or-efficiency-how-dbt-makes-you-choose.html)
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* Track what data’s been modified and run only the necessary transformations for [incremental models](https://tobikodata.com/correctly-loading-incremental-data-at-scale.html)
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* Run [unit tests](https://tobikodata.com/we-need-even-greater-expectations.html) for free and configure automated audits
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* Run [table diffs](https://sqlmesh.readthedocs.io/en/stable/guides/tablediff/?h=data+diff#diffing-multiple-models-across-environments) based on tables/views impacted by a change
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* Run [table diffs](https://sqlmesh.readthedocs.io/en/stable/examples/sqlmesh_cli_crash_course/?h=crash#run-data-diff-against-prod) based on tables/views impacted by a change
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<details>
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<summary><b>Level Up Your SQL</b></summary>
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cd sqlmesh-example
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python -m venv .venv
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source .venv/bin/activate
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pip install 'sqlmesh[lsp,web]' # install the sqlmesh package with extensions to work with VS Code
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pip install 'sqlmesh[lsp]' # install the sqlmesh package with extensions to work with VS Code
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source .venv/bin/activate # reactivate the venv to ensure you're using the right installation
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sqlmesh init duckdb # get started right away with a local duckdb instance
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sqlmesh plan # see the plan for the changes you're making
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```
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</details>
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> Note: You may need to run `python3` or `pip3` instead of `python` or `pip`, depending on your python installation.
pip install 'sqlmesh[lsp,web]' # install the sqlmesh package with extensions to work with VS Code
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pip install 'sqlmesh[lsp]' # install the sqlmesh package with extensions to work with VS Code
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.\.venv\Scripts\Activate.ps1 # reactivate the venv to ensure you're using the right installation
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sqlmesh init duckdb # get started right away with a local duckdb instance
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sqlmesh plan # see the plan for the changes you're making
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```
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</details>
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> Note: You may need to run `python3` or `pip3` instead of `python` or `pip`, depending on your python installation.
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Follow the [quickstart guide](https://sqlmesh.readthedocs.io/en/stable/quickstart/cli/#1-create-the-sqlmesh-project) to learn how to use SQLMesh. You already have a head start!
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Follow the [crash course](https://sqlmesh.readthedocs.io/en/stable/examples/sqlmesh_cli_crash_course/) to learn the core movesets and use the easy to reference cheat sheet.
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