etlantic-sparkforge 0.26.0

SparkForge-to-ETLantic migration adapter (medallion facade mapping).

etlantic-sparkforge

SparkForge → ETLantic migration adapter for ETLantic 0.20.

SparkForge remains the medallion-facing facade (bronze / silver / gold). This package maps those conventions onto ordinary ETLantic Extract / Step / Load, Profile, RunSelection / RunIntent, and PipelineRunReport surfaces. ETLantic core never gains medallion types.

Install

pip install 'etlantic==0.26.0' 'etlantic-sparkforge==0.26.0'
# or
pip install 'etlantic[sparkforge]'

The shipped adapter is IR-only: feed SparkForgePipelineSpec (JSON/YAML fixtures or hand-built dataclasses). There is no live pipeline_builder / SparkForge Python API bridge in this release.

The adapter is registered explicitly by importing etlantic_sparkforge and calling its conversion helpers. The adapted result supplies an ordinary ETLantic pipeline and profile; select execution plugins such as Profile.spark_engine="pyspark" separately. Production profiles must allowlist every trusted execution plugin.

Quick start (IR → Pipeline)

from etlantic_sparkforge import (
    SparkForgePipelineSpec,
    SparkForgeStepSpec,
    StepKind,
    LayerKind,
    adapt_pipeline,
    debug_request_from_sparkforge,
    enrich_plan,
)
from etlantic.plan import plan_pipeline

spec = SparkForgePipelineSpec(
    name="ecommerce",
    schema="demo",
    steps=(
        SparkForgeStepSpec(
            name="orders",
            kind=StepKind.BRONZE_RULES,
            layer=LayerKind.BRONZE,
            table_name="bronze_orders",
        ),
        SparkForgeStepSpec(
            name="clean_orders",
            kind=StepKind.SILVER_TRANSFORM,
            layer=LayerKind.SILVER,
            source="orders",
            table_name="silver_orders",
            write_mode="overwrite",
        ),
    ),
)
adapted = adapt_pipeline(spec)
adapted.pipeline_cls.validate(profile=adapted.profile)
plan = enrich_plan(
    plan_pipeline(adapted.pipeline_cls, profile=adapted.profile),
    adapted,
)
request = debug_request_from_sparkforge(mode="incremental", skip_writes=True)

Progressive engine deprecation path

1. Plan-only — generate/inspect ETLantic plans from SparkForge IR (strict_delta=False to warn instead of fail when Delta caps are unknown)
2. Dual reporting — adapt_run_result → PipelineRunReport
3. ETLantic planning — selections/intents via debug_request_from_sparkforge
4. Plugin execution — Profile.spark_engine="pyspark" / SQL plugins
5. Facade — SparkForge keeps medallion builder; retire duplicated engines

transform_ref / bronze rules emit PMSF411 warnings: the adapter builds passthrough transforms for planning parity; it does not execute SparkForge callables. Write intents (including MERGE) are attached via enrich_plan for orchestration; the local runtime still gates materialization with RunRequest.no_write.

See docs/11_DEVELOPMENT/MIGRATION_0_9_TO_0_10.md.

Boundary

Concern	Owner
bronze / silver / gold APIs	SparkForge
portable graph, plan, reports	ETLantic
mapping + parity fixtures	etlantic-sparkforge