A Spark helper class to create and configure optimized Spark sessions with Delta Lake support
Project description
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,
logical_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.
Project details
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