Hi everyone, check out my latest blog post to verify whether or not cloudfetch is actually used, maybe you also find some other optimizations there:https://medium.com/creative-data/boosting-databricks-odbc-driver-be2cf08a7a4a?sk=bd814e0c3d6a9b32beb23...
Hi @Hubert Dudek , interesting. Do you know about any transparent roadmap or something like this? We are just about to start a new project relying on databricks-connect using RStudio together with sparkly. We were quite surprised about the depricati...
WRT databricks-connect, we were able to fix the OOM error by increasing the memory of the local Spark driver instance which is used for the remote communication and runs in the background:conf <- spark_config()conf$`sparklyr.shell.driver-memory` <- "...
Hi everyone, we are facing exactly the same problem, result fetching takes far too long by connecting remotely via R Studio and ODBC for interactive workloads. We made sure to use the latest version of the ODBC Databicks connector together with the l...
