Databricks Connect Powered by Spark Connect: Develop and Debug Spark From Any Developer Tool
Description
Spark developers want to develop and debug their code using their tools of choice and development best practices while ensuring high-production fidelity on the target remote cluster. However, Spark's driver architecture is monolithic, with no built-in capability to directly connect to a remote Spark cluster from languages other than SQL. This makes it hard to enable such interactive developer experiences from a user’s local IDE of choice. Spark Connect’s decoupled client-server architecture introduces remote connectivity to Spark clusters and with that, enables interactive development experience - Spark and its open ecosystem can be leveraged from everywhere. In this session, we show how we leverage Spark Connect to build a completely redesigned version of Databricks Connect, a first-class IDE-based developer experience that offers interactive debugging from any IDE. We show how developers can easily ensure consistency between their local and remote environments. We walk the audience through real-live examples of how to locally debug code running on Databrick. We also show how Databricks Connect integrates into the Databricks Visual Studio Code extension for an even better develop…
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