Dependency injection in Apache Spark Applications by Shu Das and Sandeep Prabhakar
1,863 views · Published 24 May 2017 · 29:07 · Indexed 14 October 2026
Channel: Databricks · 2017 · Science & Technology
Dependency Injection is a programming paradigm that allows for cleaner, reusable, and more easily extensible code. Though Dependency injection has existed for a while now, its use for wiring dependencies in Apache Spark applications is relatively new. In this talk, we present our adventures writing testable Spark applications with dependency injection and explain why it is different than wiring dependencies for web applications due to Spark’s unique programming model. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unified-data-analytics-platform Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
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