delta_engine.databricks

Public Databricks entry points.

The implementation lives in delta_engine.adapters.databricks. This module keeps the user-facing Databricks import path short while preserving lazy backend imports (PySpark, databricks-sql-connector) for code that only declares schemas or inspects result types.

Functions

build_spark_engine(...)	Create an engine that syncs through an active Spark session.
build_sql_engine(→ delta_engine.application.engine.Engine)	Create an engine that syncs through a Databricks SQL warehouse connection.
configure_logging(→ None)	Install the package's colored logging handler.

Module Contents

build_spark_engine(spark: pyspark.sql.SparkSession) → delta_engine.application.engine.Engine

Create an engine that syncs through an active Spark session.

build_sql_engine(connection: databricks.sql.client.Connection) → delta_engine.application.engine.Engine

Create an engine that syncs through a Databricks SQL warehouse connection.

PySpark-free: pass a connection from databricks.sql.connect(...) (the delta-engine[sql] extra) and syncs run from any plain Python environment. Unity Catalog only.

configure_logging(level: int = logging.INFO, stream: TextIO | None = None) → None

Install the package’s colored logging handler.