Hi Josh, Thanks for the informative answer. Sounds like one should await your changes in 1.3. As information, I found the following set of options for doing the visual in a notebook.
http://nbviewer.ipython.org/github/ipython/ipython/blob/3607712653c66d63e0d7f13f073bde8c0f209ba8/docs/examples/notebooks/Animations_and_Progress.ipynb > On Dec 27, 2014, at 4:07 PM, Josh Rosen <rosenvi...@gmail.com> wrote: > > The console progress bars are implemented on top of a new stable "status API" > that was added in Spark 1.2. It's possible to query job progress using this > interface (in older versions of Spark, you could implement a custom > SparkListener and maintain the counts of completed / running / failed tasks / > stages yourself). > > There are actually several subtleties involved in implementing "job-level" > progress bars which behave in an intuitive way; there's a pretty extensive > discussion of the challenges at https://github.com/apache/spark/pull/3009. > Also, check out the pull request for the console progress bars for an > interesting design discussion around how they handle parallel stages: > https://github.com/apache/spark/pull/3029. > > I'm not sure about the plumbing that would be necessary to display live > progress updates in the IPython notebook UI, though. The general pattern > would probably involve a mapping to relate notebook cells to Spark jobs (you > can do this with job groups, I think), plus some periodic timer that polls > the driver for the status of the current job in order to update the progress > bar. > > For Spark 1.3, I'm working on designing a REST interface to accesses this > type of job / stage / task progress information, as well as expanding the > types of information exposed through the stable status API interface. > > - Josh > >> On Thu, Dec 25, 2014 at 10:01 AM, Eric Friedman <eric.d.fried...@gmail.com> >> wrote: >> Spark 1.2.0 is SO much more usable than previous releases -- many thanks to >> the team for this release. >> >> A question about progress of actions. I can see how things are progressing >> using the Spark UI. I can also see the nice ASCII art animation on the >> spark driver console. >> >> Has anyone come up with a way to accomplish something similar in an iPython >> notebook using pyspark? >> >> Thanks >> Eric >
