kalyfo-spark-helper 0.0.1

A Spark helper class to create and configure optimized Spark sessions with Delta Lake support

Spark Helper

A Python utility library for creating and configuring optimized Apache Spark sessions with Delta Lake support.

Features

• Optimized Spark Configuration: Pre-configured settings for optimal performance
• Delta Lake Support: Built-in support for Delta Lake operations
• Memory Management: Intelligent memory allocation for driver and executors
• Customizable: Extensive configuration options via parameters or environment variables
• Timezone Support: Configure session timezone
• Resource Monitoring: Built-in configuration verification

Installation

pip install kalyfo-spark-helper

Quick Start

from kalyfo_spark_helper import SparkHelper

# Create a Spark helper instance
spark_helper = SparkHelper(
    available_memory_gb=64,
    driver_memory_gb=40,
    cores=16
)

# Create a Spark session
spark = spark_helper.create_spark_session("My Spark App")

try:
    # Your Spark code here
    df = spark.read.parquet("data.parquet")
    df.show()
finally:
    # Always stop the session when done
    spark_helper.stop_spark_session()

Configuration

Basic Parameters

• available_memory_gb: Total memory available for Spark (required)
• driver_memory_gb: Memory allocated to the driver (default: 40GB)
• logical_cores: Number of logical CPU cores to use (default: all available cores)
• logical_cores_per_executor: Logical cores per executor (default: 5, 2-5 recommended)
• enable_delta_lake: Enable Delta Lake support (default: True)

Environment Variables

You can also configure Spark Helper using environment variables:

export AVAILABLE_MEMORY_GB=64
export AVAILABLE_LOGICAL_CORES=16
export SPARK_MEMORY_FRACTION=0.8
export SPARK_MEMORY_STORAGE_FRACTION=0.6
export TIMEZONE="Europe/Athens"

or by creating a .env file:

AVAILABLE_MEMORY_GB=64
AVAILABLE_LOGICAL_CORES=16
SPARK_MEMORY_FRACTION=0.8
SPARK_MEMORY_STORAGE_FRACTION=0.6
TIMEZONE="Europe/Athens"

Advanced Usage

Custom Memory Settings

from kalyfo_spark_helper import SparkHelper

spark_helper = SparkHelper(
    available_memory_gb=128,
    driver_memory_gb=40,
    logical_cores=32,
    spark_memory_fraction=0.8,
    spark_memory_storage_fraction=0.6,
    logical_cores_per_executor=5
)

Requirements

• Python >= 3.9
• PySpark == 4.0.1
• delta-spark == 4.0.0
• findspark == 2.0.1
• python-dotenv == 1.1.1

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues and questions, please open an issue on the GitHub repository.