Using R with Databricks Connect
summary
sparklyr now connects to Spark via reticulate->pyspark using Spark Connect, so R sessions can run dplyr/DBI queries remotely and push aggregation to the cluster; Databricks Connect V2 works on DBR 13+ and requires Python 3.9+ and a cluster ID plus token. setup uses the PSparkC helper to install Python deps, removes the need for no Java on laptop, exposes Unity Catalog (catalog->schema->table), and lets R call new Python ML APIs directly though some Spark 3.4/3.5 ML/SDF features remain limited.
AI-written summary · about
chapters (5)
related talks
01h 18mScalable Data Science with Spark and R
19mDatabases using R The latest
17mEasing the pain of connecting to databases
48mReactive Relational Database Connectivity
28mAdapting from Spark to Dask: what to expect
34mR2DBC = R2D2 + JDBC (Well, Almost...)
50mFull Steam Ahead, R2DBC!
50mBig Data Processing and Data Science Environment in Python