agentskillexchange Apache Spark DataFrame ETL Pipeline
Automates PySpark DataFrame transformations including schema inference, partition pruning, and Delta Lake merge operations. Integrates with AWS Glue Data Catalog and Apache Iceberg table formats for lakehouse architectures.
Installation
Requirements and caveats from upstream:
- high-level APIs in Scala, Java, Python, and R (Deprecated), and an optimized engine that
Interactive Python Shell
- Alternatively, if you prefer Python, you can use the Python shell:
Basic usage or getting-started notes:
To build Spark and its example programs, run:
And run the following command, which should also return 1,000,000,000:
Example Programs
Source: https://github.com/apache/spark
Extracted from upstream docs: https://raw.githubusercontent.com/apache/spark/HEAD/README.md