No, empty parens do no matter when calling no-arg methods in Scala. This invocation should work as-is and should result in the RDD showing in Storage. I see that when I run it right now.
Since it really does/should work, I'd look at other possibilities -- is it maybe taking a short time to start caching? looking at a different/old Storage tab? On Fri, Oct 31, 2014 at 1:17 AM, Sameer Farooqui <same...@databricks.com> wrote: > Hi Stuart, > > You're close! > > Just add a () after the cache, like: data.cache() > > ...and then run the .count() action on it and you should be good to see it > in the Storage UI! > > > - Sameer > > On Thu, Oct 30, 2014 at 4:50 PM, Stuart Horsman <stuart.hors...@gmail.com> > wrote: >> >> Sorry too quick to pull the trigger on my original email. I should have >> added that I'm tried using persist() and cache() but no joy. >> >> I'm doing this: >> >> data = sc.textFile("somedata") >> >> data.cache >> >> data.count() >> >> but I still can't see anything in the storage? >> >> >> >> On 31 October 2014 10:42, Sameer Farooqui <same...@databricks.com> wrote: >>> >>> Hey Stuart, >>> >>> The RDD won't show up under the Storage tab in the UI until it's been >>> cached. Basically Spark doesn't know what the RDD will look like until it's >>> cached, b/c up until then the RDD is just on disk (external to Spark). If >>> you launch some transformations + an action on an RDD that is purely on >>> disk, then Spark will read it from disk, compute against it and then write >>> the results back to disk or show you the results at the scala/python shells. >>> But when you run Spark workloads against purely on disk files, the RDD won't >>> show up in Spark's Storage UI. Hope that makes sense... >>> >>> - Sameer >>> >>> On Thu, Oct 30, 2014 at 4:30 PM, Stuart Horsman >>> <stuart.hors...@gmail.com> wrote: >>>> >>>> Hi All, >>>> >>>> When I load an RDD with: >>>> >>>> data = sc.textFile("somefile") >>>> >>>> I don't see the resulting RDD in the SparkContext gui on localhost:4040 >>>> in /storage. >>>> >>>> Is there something special I need to do to allow me to view this? I >>>> tried but scala and python shells but same result. >>>> >>>> Thanks >>>> >>>> Stuart >>> >>> >> > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org