SQLFrame implements the PySpark DataFrame API in order to enable running
transformation pipelines directly on database engines - no Spark clusters or
dependencies required.
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above. NOTE: This is a Python port. Instead of py312-sqlframe listed in the above command, you can pick from the names under the Packages section.
===> The following configuration options are available for py312-sqlframe-4.4.0:
BIGQUERY=off: BigQuery support
DATABRICKS=off: Databricks support
DUCKDB=off: DuckDB support
OPENAI=off: OpenAI support
PANDAS=off: Pandas support
POSTGRES=off: PostgreSQL support
REDSHIFT=off: Amazon Redshift support
SNOWFLAKE=off: Snowflake support
===> Use 'make config' to modify these settings
databases/py-sqlframe: Add py-sqlframe 3.24.1
SQLFrame implements the PySpark DataFrame API in order to enable running
transformation pipelines directly on database engines - no Spark clusters or
dependencies required.