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etlantic-polars

Polars dataframe plugin and Polars portable transform compiler for ETLantic 0.43. Install when you select Profile(dataframe_engine="polars") or need portable DTCS compilation on Polars. Keep the pin matched to core.

Note: This plugin and ETLantic core use Beta classifiers for documented single-tenant pilots. Classifiers are not an enterprise SLA.

Install

pip install 'etlantic-polars==0.53.0'
# Optional Arrow interchange:
pip install 'etlantic-polars[arrow]==0.53.0'
# pip install 'etlantic==0.53.0'

Dataframe plugin

Supports eager DataFrame execution and LazyFrame preservation until an explicit collection boundary declared in the PipelinePlan.

Entry point: etlantic.dataframe_pluginsetlantic_polars:create_plugin.

Portable transform compiler

Claims dtcs:profile/portable-relational-kernel/1 and dtcs:profile/portable-relational/1. Executes kernel actions plus join, union, aggregate, sort, distinct, deduplicate, and limit without a native @implementation("polars"). This is the recommended transformation path and remains eligible for adaptive execution; a native Polars body pins its step to Polars.

from etlantic import Profile
from etlantic_polars import create_transform_compiler

Profile(
    name="polars-portable",
    dataframe_engine="polars",
    portable_transform_policy="require",  # or prefer / native
)
compiler = create_transform_compiler()
print(compiler.info.name, sorted(compiler.info.capabilities.profiles))

Entry point: etlantic.transform_compilersetlantic_polars:create_transform_compiler.

Runnable example: examples/portable_polars_kernel.py in the ETLantic repo.

Window V1, complex-type/value, and conversion profiles are available in the current compiler; explicit window frames and Window V2 remain capability-gated. See the compiler protocol and compatibility matrix.

Polars tutorial · Source · Issues

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