raikou 0.1.0

Spark DataFrame helpers on raikou-core: sessions, frames, and expression helpers.

raikou

High-level Spark helpers built on raikou-core.

PyPI: https://pypi.org/project/raikou/

Repository: https://github.com/eddiethedean/raikou

raikou provides:

• SparkSession helpers (connect)
• a small DataFrame-style facade (RaikouDataFrame) backed by raikou-core's engine
• convenience expression helpers (col, lit)

Requirements

• Python: 3.10+
• Spark: pyspark>=3.4,<4 (a Spark runtime must be available in your environment)

Install

pip install raikou

Quick start

from raikou import RaikouDataFrame, Schema, col, connect


class Row(Schema):
    x: int
    y: str


spark = connect(master="local[2]")
sdf = spark.createDataFrame([{"x": 1, "y": "a"}, {"x": 2, "y": "b"}])

df = RaikouDataFrame[Row].from_spark_dataframe(sdf)
out = df.filter(col("x") > 1).select("y").to_dict()

What’s in the box?

• connect(...): convenience helper for creating/configuring a SparkSession
• Schema: typed row schema for a RaikouDataFrame
• RaikouDataFrame[T]: a small, typed facade backed by the raikou-core engine
• col(...) / lit(...): expression helpers used with filter, select, etc.

Development (monorepo)

From the repository root:

make install-editable
make test
make lint
make format

Relationship to raikou-core

raikou depends on raikou-core for the Spark-backed execution engine and planning/expression layer. If you only need the engine primitives (e.g. for building another library), you can depend on raikou-core directly.

License

MIT (see repository LICENSE).