Package extending the default dialect capabilities for Spark.
APACHE-2.0 License
This repository adds custom Spark JDBC dialects, enhansing or fixing Apache Spark issues with handling some JDBC types.
Note: for now only Spark 3.5.x is supported.
Basic framework utilities to quickly start writing production ready Apache Spark applications
Performance Observability for Apache Spark
SparkSQL.jl enables Julia programs to work with Apache Spark data using just SQL.
Learn how to use Spark SQL and HSpark connector package to create / query data tables that reside...
Implementing core components of a data-driven architecture using Spark: Data Management and Data ...
The Internals of Spark SQL
Common library for Exasol Apache Spark based connectors
Apache Spark - A unified analytics engine for large-scale data processing
DataStax Connector for Apache Spark to Apache Cassandra
Spark extension for processing large-scale 3D data sets: Astrophysics, High Energy Physics, Meteo...
A library to transform Scala product types and Schemes from different systems into other Schemes....
A simple Spark-powered ETL framework that just works 🍺
Neo4j Connector for Apache Spark, which provides bi-directional read/write access to Neo4j from S...
Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
FITS data source for Spark SQL and DataFrames