Installation
Python virtual environment
It is recommended, but not required, that you use a python virtual environment with SQLMesh.
First, create the virtual environment:
Then activate it:
Install SQLMesh core
Install the core SQLMesh library with pip
:
Install extras
Some SQLMesh functionality requires additional Python libraries. pip
will automatically install them for you if you specify the relevant name in brackets.
Some extras add features:
Feature | pip command |
---|---|
Browser UI | pip install "sqlmesh[web]" |
dbt projects | pip install "sqlmesh[dbt]" |
Github CI/CD bot | pip install "sqlmesh[github]" |
Slack notifications | pip install "sqlmesh[slack]" |
Development setup | pip install "sqlmesh[dev]" |
LLM SQL prompt | pip install "sqlmesh[llm]" |
Other extras are required to use specific SQL engines:
SQL engine | pip command |
---|---|
Bigquery | pip install "sqlmesh[bigquery]" |
Databricks | pip install "sqlmesh[databricks]" |
GCP Postgres | pip install "sqlmesh[gcppostgres]" |
MS SQL Server | pip install "sqlmesh[mssql]" |
MySQL | pip install "sqlmesh[mysql]" |
Postgres | pip install "sqlmesh[postgres]" |
Redshift | pip install "sqlmesh[redshift]" |
Snowflake | pip install "sqlmesh[snowflake]" |
Multiple extras can be installed at once, as in pip install "sqlmesh[web,slack]"
.
Next steps
- Jump right in with the quickstart example project.
- Have an existing dbt project? Install the dbt extra and check out SQLMesh's dbt adapter.