If you load a file on your computer, that is unrelated to Spark. Whatever you load via Spark APIs will at some point live in memory on the Spark cluster, or the storage you back it with if you store it. Whether the cluster and storage are secure (like, ACLs / auth enabled) is up to whoever runs the cluster.
On Fri, May 29, 2020 at 1:54 PM <wilbertseo...@gmail.com> wrote: > Hi Sean > > I mean that I won’t be opening up my client for any data breaches or > anything like that by connecting to Spark and loading in their data using > sparklyr in R studio. > > Connecting with spark and loading in a tsv file on my local computer is > secure correct? > > > Thanks > > Wilbert J. Seoane > > Sent from iPhone > > On May 29, 2020, at 11:25 AM, Sean Owen <sro...@gmail.com> wrote: > > > What do you mean by secure here? > > On Fri, May 29, 2020 at 10:21 AM <wilbertseo...@gmail.com> wrote: > >> Hello, >> >> I plan to load in a local .tsv file from my hard drive using sparklyr (an >> R package). I have figured out how to do this already on small files. >> >> When I decide to receive my client’s large .tsv file, can I be confident >> that loading in data this way will be secure? I know that this creates a >> Spark connection to help process the data more quickly, but I want to >> verify that the data will be secure after loading it with the Spark >> connection and sparklyr. >> >> >> Thanks, >> >> Wilbert J. Seoane >> >> Sent from iPhone >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> >>
