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‎.github/workflows/pr.yaml‎

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strategy:
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fail-fast: false
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matrix:
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dbt-version: ['1.3', '1.4', '1.5', '1.6', '1.7', '1.8', '1.9', '1.10']
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dbt-version: ['1.3', '1.4', '1.5', '1.6', '1.7', '1.8', '1.9', '1.10', '1.11']
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steps:
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- uses: actions/checkout@v7
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- name: Set up Python

‎Makefile‎

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echo "Installing dbt version: $$version"; \
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cp pyproject.toml pyproject.toml.backup; \
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$(SED_INPLACE) 's/"pydantic>=2.0.0"/"pydantic"/g' pyproject.toml; \
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if [ "$$version" = "1.10.0" ]; then \
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echo "Applying special handling for dbt 1.10.0"; \
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if [ "$$version" = "1.10.0" ] || [ "$$version" = "1.11.0" ]; then \
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echo "Applying special handling for dbt $$version"; \
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$(SED_INPLACE) -E 's/"(dbt-core)[^"]*"/"\1~='"$$version"'"/g' pyproject.toml; \
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$(SED_INPLACE) -E 's/"(dbt-(bigquery|duckdb|snowflake|athena-community|clickhouse|redshift|trino))[^"]*"/"\1"/g' pyproject.toml; \
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$(SED_INPLACE) -E 's/"(dbt-databricks)[^"]*"/"\1~='"$$version"'"/g' pyproject.toml; \

‎docs/concepts/models/overview.md‎

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| Redshift | Y | N |
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| Snowflake | Y | Y |
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| Spark | Y | Y |
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| StarRocks | Y | Y |
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| Trino | Y | Y |
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‎docs/guides/configuration.md‎

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These pages describe the connection configuration options for each execution engine.
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* [Athena](../integrations/engines/athena.md)
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* [Azure SQL](../integrations/engines/azuresql.md)
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* [BigQuery](../integrations/engines/bigquery.md)
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* [ClickHouse](../integrations/engines/clickhouse.md)
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* [Databricks](../integrations/engines/databricks.md)
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* [DuckDB](../integrations/engines/duckdb.md)
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* [Fabric](../integrations/engines/fabric.md)
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* [MotherDuck](../integrations/engines/motherduck.md)
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* [MySQL](../integrations/engines/mysql.md)
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* [MSSQL](../integrations/engines/mssql.md)
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* [MySQL](../integrations/engines/mysql.md)
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* [Postgres](../integrations/engines/postgres.md)
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* [GCP Postgres](../integrations/engines/gcp-postgres.md)
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* [Redshift](../integrations/engines/redshift.md)
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* [RisingWave](../integrations/engines/risingwave.md)
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* [Snowflake](../integrations/engines/snowflake.md)
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* [StarRocks](../integrations/engines/starrocks.md)
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* [Spark](../integrations/engines/spark.md)
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* [StarRocks](../integrations/engines/starrocks.md)
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* [Trino](../integrations/engines/trino.md)
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#### State connection

‎docs/guides/connections.md‎

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## Supported engines
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* [Athena](../integrations/engines/athena.md)
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* [Azure SQL](../integrations/engines/azuresql.md)
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* [BigQuery](../integrations/engines/bigquery.md)
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* [ClickHouse](../integrations/engines/clickhouse.md)
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* [Databricks](../integrations/engines/databricks.md)
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* [DuckDB](../integrations/engines/duckdb.md)
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* [Fabric](../integrations/engines/fabric.md)
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* [MotherDuck](../integrations/engines/motherduck.md)
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* [MySQL](../integrations/engines/mysql.md)
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* [MSSQL](../integrations/engines/mssql.md)
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* [MySQL](../integrations/engines/mysql.md)
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* [Postgres](../integrations/engines/postgres.md)
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* [GCP Postgres](../integrations/engines/gcp-postgres.md)
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* [Redshift](../integrations/engines/redshift.md)
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* [RisingWave](../integrations/engines/risingwave.md)
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* [Snowflake](../integrations/engines/snowflake.md)
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* [Spark](../integrations/engines/spark.md)
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* [StarRocks](../integrations/engines/starrocks.md)

‎docs/installation.md‎

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| Bigquery | `pip install "sqlmesh[bigquery]"` |
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| ClickHouse | `pip install "sqlmesh[clickhouse]"` |
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| Databricks | `pip install "sqlmesh[databricks]"` |
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| Fabric | `pip install "sqlmesh[fabric]"` |
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| GCP Postgres | `pip install "sqlmesh[gcppostgres]"` |
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| MS SQL Server | `pip install "sqlmesh[mssql]"` |
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| MotherDuck | `pip install "sqlmesh[motherduck]"` |
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| MySQL | `pip install "sqlmesh[mysql]"` |
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| Postgres | `pip install "sqlmesh[postgres]"` |
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| Redshift | `pip install "sqlmesh[redshift]"` |
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| RisingWave | `pip install "sqlmesh[risingwave]"` |
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| Snowflake | `pip install "sqlmesh[snowflake]"` |
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| StarRocks | `pip install "sqlmesh[starrocks]"` |
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| Trino | `pip install "sqlmesh[trino]"` |
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Multiple extras can be installed at once, as in `pip install "sqlmesh[github,slack]"`.

‎docs/integrations/dbt.md‎

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Support for this will be added soon.
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## Tests
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SQLMesh uses dbt tests to perform SQLMesh [audits](../concepts/audits.md) (coming soon).
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Add SQLMesh [unit tests](../concepts/tests.md) to a dbt project by placing them in the "tests" directory.
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dbt and SQLMesh use the word "test" differently. See [Workflow differences](#workflow-differences-between-sqlmesh-and-dbt) above for an overview.
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SQLMesh converts dbt tests (singular and generic `.sql` files in the `tests/` directory) into SQLMesh [audits](../concepts/audits.md). These run against data that already exists in your tables, just like dbt tests.
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Add SQLMesh [unit tests](../concepts/tests.md) to a dbt project by placing YAML files named `test*.yaml` or `test*.yml` in the `tests/` directory. Unit tests validate model query logic with predefined inputs and expected outputs; they are separate from dbt's SQL test files.
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## Seed column types
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‎docs/quickstart/cli.md‎

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[14] MySQL
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[15] Athena
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[16] RisingWave
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[17] Fabric
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[18] StarRocks
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Enter a number: 1
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```

‎docs/reference/configuration.md‎

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These pages describe the connection configuration options for each execution engine.
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* [Athena](../integrations/engines/athena.md)
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* [Azure SQL](../integrations/engines/azuresql.md)
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* [BigQuery](../integrations/engines/bigquery.md)
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* [ClickHouse](../integrations/engines/clickhouse.md)
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* [Databricks](../integrations/engines/databricks.md)
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* [DuckDB](../integrations/engines/duckdb.md)
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* [Fabric](../integrations/engines/fabric.md)
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* [MotherDuck](../integrations/engines/motherduck.md)
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* [MySQL](../integrations/engines/mysql.md)
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* [MSSQL](../integrations/engines/mssql.md)
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* [MySQL](../integrations/engines/mysql.md)
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* [Postgres](../integrations/engines/postgres.md)
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* [GCP Postgres](../integrations/engines/gcp-postgres.md)
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* [Redshift](../integrations/engines/redshift.md)
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* [RisingWave](../integrations/engines/risingwave.md)
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* [Snowflake](../integrations/engines/snowflake.md)
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* [Spark](../integrations/engines/spark.md)
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* [StarRocks](../integrations/engines/starrocks.md)
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* [Trino](../integrations/engines/trino.md)
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### Scheduler

‎pyproject.toml‎

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"google-auth",
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"google-cloud-bigquery",
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"google-cloud-bigquery-storage",
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"httpx",
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"httpx2",
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"mypy~=1.13.0",
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"numpy",
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"pandas-stubs",

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