Compute and Runtimes
Runtime Attachment in Notebook Workspaces
Most notebook work is fine on the default kernel — you don't have to attach anything to start. Attach a runtime when you outgrow the default: for example, when you need a bigger driver, more executors, GPU access, or a runtime that has been pre-configured with specific Spark settings and…
Spark Session Information
Type spark in a notebook cell and run it. Both Python and Scala kernels render a small HTML block summarizing the current Spark session — it is the _repr_html_ of the SparkSession object. Useful for confirming what your kernel is connected to, especially after attaching or detaching a runtime.
Notebook Process (Jobs)
A Notebook Process runs a notebook non-interactively as part of a Syntasa workflow. It is one process type among many — alongside Spark code processes, app processes, and so on — and uses the same job orchestration model. Manual runs, scheduled runs, aborting, run history: all of it works the same…