{"library":"dbt-spark","type":"library","category":null,"description":"dbt-spark is the Apache Spark adapter plugin for dbt (data build tool), enabling data analysts and engineers to transform data in Apache Spark using SQL. It leverages Spark's distributed computing capabilities for efficient data transformation. The current version is 1.10.1, and it typically releases new versions in alignment with `dbt-core`'s major and minor releases.","language":"python","status":"active","version":"1.10.1","tags":["dbt","spark","etl","data transformation","adapter","analytics engineering"],"last_verified":"Wed May 20","install":[{"cmd":"pip install dbt-core dbt-spark","imports":["dbt-spark is used primarily via the dbt CLI and configuration files (profiles.yml), not via direct Python import statements in user projects."]},{"cmd":"pip install \"dbt-spark[ODBC]\"","imports":[]},{"cmd":"pip install \"dbt-spark[PyHive]\"","imports":[]}],"homepage":"https://docs.getdbt.com","github":"https://github.com/dbt-labs/dbt-adapters","docs":"https://docs.getdbt.com","changelog":"https://github.com/dbt-labs/dbt-adapters/blob/main/dbt-spark/CHANGELOG.md","pypi":"https://pypi.org/project/dbt-spark/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":42,"avg_install_s":11.9,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dbt-spark/compatibility"}}