PySpark engine plugin for distributed DataFrame integration, analytics workloads, and Tigrbl data workflows.
Project description
tigrbl_engine_pyspark
PySpark engine plugin for distributed DataFrame integration, analytics workloads, and Tigrbl data workflows.
Install
uv add tigrbl_engine_pyspark
pip install tigrbl_engine_pyspark
What It Owns
tigrbl_engine_pyspark owns the engine pyspark backend boundary for Tigrbl, including engine registration, session adapters, and backend-specific helpers. Key implementation roots include tigrbl_engine_pyspark with engine, session.
Use It When
Use tigrbl_engine_pyspark when you want the engine pyspark backend installed as an isolated dependency instead of pulling every engine into your environment.
Public Surface
tigrbl_engine_pysparkexposespyspark_capabilities, pyspark_engine, PySparkSession, register.
Internal Layout
- Workspace path:
pkgs/engines/tigrbl_engine_pyspark. - Package class:
engine plugin. - Python requirement:
>=3.10,<3.15. tigrbl_engine_pysparkmodules:engine, session.
Dependency Surface
- Workspace package dependencies: none declared.
- External runtime dependencies:
pyspark>=3.4,tigrbl>=0.3.0.dev4. - Optional extras: none declared.
Related Packages
Canonical Repository Docs
docs/README.mddocs/conformance/CURRENT_TARGET.mddocs/conformance/CURRENT_STATE.mddocs/conformance/NEXT_STEPS.mddocs/governance/DOC_POINTERS.mddocs/developer/PACKAGE_CATALOG.mddocs/developer/PACKAGE_LAYOUT.md
Package-local Boundary
This file is a package-local distribution entry point.
Use this page for package installation and boundary orientation. Repository governance, conformance state, target status, and release evidence remain governed from docs/ and .ssot/.
License
Licensed under the Apache License, Version 2.0. See LICENSE and the official Apache 2.0 license text.
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