My team uses a shared cluster. We've been having issues with spark_connect failing to work at times (can't easily reproduce). One thing I've recently noticed is that the Spark user through sparklyr seems to be set to the first person who connects to Spark on the (shared) cluster.
```
library(sparklyr)
sc <- spark_connect(method = "databricks")
DBI::dbGetQuery(sc, 'select current_user() as user')
```
which is not necessarily the same as user identified with Spark SQL in a notebook.
```
%sql
select current_user() as user
```
Is this a bug? Could this be causing Spark connection issues?
