tigrbl_engine_pyspark 0.4.0

tigrbl_engine_pyspark is a PySpark engine plugin for PySpark DataFrame integration for distributed Tigrbl analytics workflows.

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Tigrbl engine-pyspark

Install and inspect tigrbl_engine_pyspark: download tigrbl_engine_pyspark from PyPI or open the package source.

tigrbl_engine_pyspark is a PySpark engine plugin for PySpark DataFrame integration for distributed Tigrbl analytics workflows.

tigrbl_engine_pyspark is part of the Tigrbl package graph. It documents package-resident classes, concepts, extension points, and execution responsibilities while cross-linking to the facade, core specs, canonical mapping, runtime phases, concrete objects, operation packages, engine plugins, and Rust crates that complete the system.

Engine ownership and database guards

• PySpark DataFrame integration, distributed analytics setup, session handoff, and cluster execution guardrails.
• Engine packages document backend-specific connection settings, session construction, transaction behavior, persistence boundaries, and operational guardrails. Transport routing and operation semantics remain in the facade/canon/runtime/ops packages.
• Register this engine through the package entry point or the Tigrbl engine context so API code can select the backend without embedding backend-specific logic in model definitions.

Package ecosystem cross-links

Core cross-links:

• tigrbl - Facade package
• tigrbl_core - Spec and primitive contracts
• tigrbl_canon - Canonical mapping and operation resolution
• tigrbl_runtime - Phase lifecycle and execution runtime
• tigrbl_concrete - Native objects, transports, hooks, deps, and secdeps
• tigrbl_ops_oltp - CRUD and transactional operation handlers
• tigrbl_ops_olap - Analytical operation boundary
• tigrbl_ops_realtime - Stream, transfer, datagram, and realtime ops
• tigrbl_tests - Examples, benchmark, parity, and package test surfaces Engine cross-links:
• tigrbl_engine_sqlite - SQLite local transactional engine
• tigrbl_engine_postgres - PostgreSQL SQLAlchemy engine
• tigrbl_engine_inmemory - Process-local transactional in-memory engine
• tigrbl_engine_redis - Redis cache/database engine
• tigrbl_engine_duckdb - DuckDB analytical engine
• tigrbl_engine_pandas - pandas DataFrame engine
• tigrbl_engine_pgsqli_wal - PostgreSQL and SQLite WAL engine Rust cross-links:
• tigrbl_rs_spec - Rust IR and AppSpec model
• tigrbl_rs_atoms - Rust atom catalog and phase algebra
• tigrbl_rs_kernel - Rust compiler and plan optimizer
• tigrbl_rs_runtime - Rust executor and callback fences
• tigrbl_rs_ports - Engine, session, transaction, callback, and handler ports

Install

pip install tigrbl_engine_pyspark

Package discovery

Search and AI discovery terms for tigrbl_engine_pyspark include: tigrbl, ASGI, REST, JSON-RPC, SQLAlchemy, Pydantic, asgi, api, json-rpc, rest, sqlalchemy, pydantic, engine, plugin, database, pyspark, spark, distributed.

Package-local entry point

This file is a package-local distribution entry point. It is not the authoritative location for repository governance, current target status, current state reporting, certification claims, or release evidence.

Canonical repository docs

• README.md
• docs/README.md
• docs/conformance/CURRENT_TARGET.md
• docs/conformance/CURRENT_STATE.md
• docs/conformance/NEXT_STEPS.md
• docs/governance/DOC_POINTERS.md
• docs/developer/PACKAGE_CATALOG.md
• docs/developer/PACKAGE_LAYOUT.md

Package identity

• canonical repository: https://github.com/tigrbl/tigrbl
• organization: https://github.com/tigrbl
• social: https://discord.gg/K4YTAPapjR
• package path: https://github.com/tigrbl/tigrbl/tree/master/pkgs/engines/tigrbl_engine_pyspark
• workspace path: pkgs/engines/tigrbl_engine_pyspark
• workspace class: engine package
• implementation layout: src/tigrbl_engine_pyspark/

Long-form repository documentation is governed from docs/.